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Article

Coordinated Control Strategy for Series-Parallel Connection of Low-Voltage Distribution Areas Based on Direct Power Control

1
College of Electrical Engineering, Guizhou University, Guiyang 550025, China
2
Electric Power Research Institute, Guizhou Power Grid Co., Ltd., Guiyang 550002, China
*
Authors to whom correspondence should be addressed.
Electronics 2026, 15(1), 73; https://doi.org/10.3390/electronics15010073 (registering DOI)
Submission received: 8 November 2025 / Revised: 14 December 2025 / Accepted: 17 December 2025 / Published: 24 December 2025

Abstract

With the irregular integration of small-capacity distributed generators (DG) and single-phase loads, rural low-voltage distribution transformers are faced with issues such as three-phase imbalance, light-heavy loading, and feeder terminal voltage excursions, impacting the safe and stable operation of the system. To address this issue, a coordinated control strategy based on direct power control (DPC) for low-voltage substation series-parallel coordination is proposed. A flexible interconnection topology for multi-substation series-parallel coordination is designed to achieve coordinated optimization of alternating current–direct current (AC-DC) power quality. Addressing the three-phase imbalance, light-heavy loading, and feeder terminal voltage excursions in rural low-voltage distribution transformers, a series-parallel coordinated optimization control strategy is proposed. This strategy incorporates a DC bus voltage control strategy based on sequence-separated power compensation and a closed-loop control strategy based on phase-separated power compensation, effectively addressing three-phase imbalances and load balancing in each power distribution areas. Furthermore, a series-connected phase compensation control strategy based on DPC is proposed, efficiently mitigating feeder terminal voltage excursions. A corresponding circuit model is established using Matlab/Simulink, and simulation results validate the effectiveness of the proposed strategy.

1. Introduction

With the advancement of the “Dual Carbon” goals [1], the widespread integration of distributed new energy and the continuous growth of single-phase loads [2,3] have led to increasingly severe problems in low-voltage distribution networks. These problems mainly include three-phase unbalance and voltage over-limit at the feeder terminal [4]. Three-phase unbalance will aggravate voltage sag. In turn, the deterioration of voltage quality will worsen load asymmetry [5]. The two issues interact with each other and form a negative feedback loop [6]. Voltage over-limit at the feeder terminal not only damages sensitive equipment and reduces motor energy efficiency, but also triggers the off-grid of photovoltaic inverters. This restricts the consumption of new energy. Therefore, breaking the limitation of single-dimensional governance and establishing a coordinated governance mechanism for voltage quality and power balance is the key to improving the operational stability of the new power distribution system [7].
To address the three-phase imbalance issue in distribution areas, existing governance measures mainly include switching phase-to-phase balancing devices [8], phase-shifting switches [9], and reactive power compensation devices [10]. Traditional phase-to-phase balancing devices are low-cost. However, their discrete adjustment mechanism makes it difficult to achieve smooth power control [11,12]. Their response speed is limited by the action time of mechanical switches, failing to keep up with rapid load fluctuations. Phase-shifting switch technology can adjust the load phase sequence from the source [13,14]. But in practical engineering, large-scale and dense deployment is usually required to achieve the expected effect. This leads to a sharp increase in investment costs and difficulties in maintenance. Reactive power compensation devices connect reactive power compensation equipment in parallel. They adjust the three-phase current balance while compensating reactive power [15]. These devices are mainly divided into two categories, traditional devices and new power electronic devices. Represented by automatic compensation capacitor banks, traditional devices are based on Wang’s theorem [16]. By connecting capacitors between phases and between phase and neutral, they not only improve the power factor but also balance the active current of each phase. However, they have limitations such as slow response speed and inability to achieve continuous regulation. Therefore, new power electronic devices have become the main voltage regulation method currently [17]. They generate compensation current in real-time through power electronic converters to offset unbalanced components. Static Var Generator (SVG) based on power electronic technology has the ability of continuous reactive power regulation [18]. But restricted by its parallel topology, it cannot directly regulate the active power flow. This limits its governance effect on unbalance caused by active power. Dynamic Voltage Restorers (DVR) are widely used to handle voltage sags or fluctuations. For current harmonic and reactive power compensation, Static Synchronous Compensators (DSTATCOM) are the mainstream choice [19,20]. However, these two types of independent compensation devices have relatively single functions. They cannot simultaneously deal with the composite power quality problem of concurrent voltage and current distortion in distribution networks. To overcome this limitation, Unified Power Quality Conditioners (UPQC) realize the comprehensive governance of voltage and current issues [21]. They connect series and parallel converters through a back-to-back configuration. Although traditional UPQC perform well in single-point compensation, their topology is usually limited to the governance of a single distribution area or line [22]. They lack the ability to control power flow among multiple low-voltage distribution areas. When facing load imbalance across multiple areas or uneven power distribution of distributed generation, traditional UPQC cannot achieve inter-regional power mutual assistance and collaborative optimization [23]. This results in a situation where equipment is overloaded in some areas while capacity is idle in others.
From the perspective of control strategies, most current UPQC and related equipment adopt the voltage-current double closed-loop control based on proportional-integral (PI) regulators. This is also known as Vector Current Control (VCC) [24]. Although VCC technology is relatively mature, its inherent limitations have become increasingly prominent in complex distribution network environments. Firstly, VCC adopts a cascaded structure of inner current loop and outer voltage loop [25]. The tuning of PI parameters is cumbersome, and there is coupling between the loops. This limits the dynamic response speed of the system by the bandwidth design, making it difficult to quickly track the abrupt signals during grid faults. Secondly, the VCC strategy relies heavily on the Phase-Locked Loop (PLL) to obtain the phase and frequency synchronization signals of the grid voltage [26]. Studies have shown that under non-ideal conditions such as distortion, unbalance and sag of grid voltage, the dynamic tracking performance of traditional PLL will decrease significantly or even fail [27,28]. This leads to system orientation errors, which in turn seriously impairs the governance performance and stability of the compensation device.
In terms of governance devices and topology structures, existing solutions usually focus on addressing a single objective. To break through the limitations of the aforementioned control algorithms and topology structures, this study aims to comprehensively solve the three-phase imbalance and voltage over-limit issues in low-voltage distribution areas. This paper proposes a control strategy for series-parallel coordinated and integrated operation based on Direct Power Control (DPC). By analyzing the causes of three-phase imbalance and voltage over-limit in distribution networks, a series-parallel coordinated topology with a DC network is constructed. For the main distribution area, a phase-separated power control strategy with head-to-tail interconnection is adopted. For the secondary distribution areas, a sequence-separated compensation control strategy based on DC bus voltage is applied. The main work of this paper is as follows:
(1)
A series-parallel coordinated topology based on DPC is proposed. It is applied to the comprehensive power quality governance of low-voltage distribution areas. This method eliminates complex coordinate transformation and PI parameter tuning. Its control structure is simplified, and its dynamic response is faster. It can quickly stabilize voltage and balance current when load changes abruptly or faults occur.
(2)
A differentiated coordinated control strategy for primary and secondary distribution areas is designed. It realizes inter-area power mutual assistance and load balancing. The primary distribution area adopts phase-separated power control to govern internal imbalance. The secondary distribution areas adopt sequence-separated compensation control. They are coupled with the primary distribution area through a DC network. This enables flexible scheduling of active and reactive power, solving the problem of regional load imbalance.
(3)
A coordinated control framework for parallel-series compensation is constructed. It relies on a DC network to achieve energy exchange. It realizes the comprehensive governance of three-phase imbalance and voltage over-limit. This improves the overall power quality of the low-voltage distribution network.

2. Mechanism of Flexible Interconnected Distribution Areas Power Compensation

The equivalent circuit diagram of a low-voltage distribution network with distributed generation (DG) is shown in Figure 1. In the diagram: US represents the voltage at the beginning of the distribution network, and IS is the current at the beginning of the distribution network. Um denotes the voltage at the point of common coupling (PCC) at the end of the distribution network. R + jX stands for the line impedance. PS and QS represent the active and reactive power output at the beginning of the distribution network. Pload and Qload, respectively, indicate the active and reactive power consumed by the loads at the end of the distribution network. PDG is the active power output of the DG. When the output power of the DG is excessive, local loads cannot fully absorb the power from the grid-connected DG, leading to the occurrence of reverse power flow in the system. This can result in the voltage at the end of the distribution network being higher than that at the beginning, potentially causing voltage violations at the PCC. Conversely, when the output power of the DG is insufficient, due to the prevalent long supply radius in low-voltage distribution networks with line impedance R > X, the voltage drop caused by active losses may lead to the voltage at the PCC node being lower than at the beginning. During peak electricity consumption periods, this situation can even lead to voltage undershoot.
Furthermore, due to a large number of single-phase loads and extensive PV integration into the distribution network, negative-sequence and zero-sequence currents flow through the lines and distribution network transformers. This results in uneven power output among the phases of distribution network transformers, reducing their overload capacity. In cases of transformer three-phase imbalance, the phase with lighter load will exhibit surplus capacity, leading to a decrease in the overall load on the transformer and subsequently reducing its load capacity.
To address the issues in the low-voltage distribution network mentioned above, this paper proposes a flexible interconnection topology between distribution areas. As illustrated in Figure 2, the converters are connected via low-voltage DC network lines, forming pathways for flexible energy routing. With the use of Voltage Source Converter (VSC) converters, comprehensive control of power quality aspects such as three-phase imbalance at the beginning of the distribution area and voltage violations at the end can be achieved. The direction of power transmission is shown in Figure 3.
(1)
During Operating Condition 1:
(I).
VSC1 compensates for the negative-sequence and zero-sequence power components in distribution area 1 while regulating its positive-sequence component to provide a stable and reliable DC voltage for the DC network.
(II).
VSC2 absorbs power from the DC network, compensating for the power of each phase at the beginning of distribution area 2 to maintain three-phase power balance. It adjusts its power optimization parameters and modifies the output of each transformer based on actual requirements.
(III).
VSC3 utilizes the DC network to perform phase-selective compensation at the tail end of distribution area 2, mitigating power quality issues and significantly reducing transmission losses.
(2)
Under Operating Condition 2:
(I).
VSC3 transfers excess power from the end of distribution area 2 along the DC bus to VSC1 and VSC2, significantly enhancing the integration of photovoltaics while reducing voltage violations at end users caused by excessive output power from the DG.
(II).
VSC1, by absorbing the power transmitted by VSC3, compensates to maintain three-phase balance at the beginning of distribution area 1. Additionally, it uses its positive sequence balance component to stabilize the DC bus voltage.
(III).
VSC2, by absorbing power from the DC bus, compensates the power of each phase at the beginning of distribution area 2, thereby maintaining three-phase power balance at the beginning of distribution area 1. By adjusting its power optimization parameters, the direction of power flow between distribution areas can be modified.

3. Three-Phase Imbalance and Overvoltage Suppression Mitigation Strategy

The overall strategy for mitigating three-phase imbalance and voltage suppression is as follows: VSC1 adopts a sequence-decoupled power control strategy, where the positive-sequence component maintains DC bus voltage stability, while the negative- and zero-sequence components are compensated to balance the three-phase power in distribution area 1, thereby resolving its three-phase imbalance; VSC2 employs a phase-selective power control strategy, performing phase-wise compensation for the unbalanced power from distribution area 1. By analyzing the specific conditions of each distribution area, an optimal power transfer coefficient is selected to facilitate-area power redistribution; VSC3 implements a direct power control (DPC)-based phase-selective compensation strategy, compensating for surplus or deficient power at the end-node to mitigate overvoltage suppression issues at the tail end of distribution area 1.

3.1. Direct Current Bus Voltage Control Strategy Based on Sequence Power

The three-phase imbalance current in distribution area 1 can be decomposed into positive sequence, negative sequence, and zero sequence current components using the symmetrical component method, namely:
i a = i a + + i a + i a 0 = I a + sin ( w t + θ + ) + I a sin ( w t + θ ) + I a 0 sin ( w t + θ 0 ) i b = i b + + i b + i b 0 = I b + sin ( w t 2 π 3 + θ + ) + I b sin ( w t + 2 π 3 + θ ) + I b 0 sin ( w t + θ 0 ) i c = i c + + i c + i c 0 = I c + sin ( w t + 2 π 3 + θ + ) + I c sin ( w t 2 π 3 + θ ) + I c 0 sin ( w t + θ 0 )
where I+, I and I0 represent the amplitudes of positive sequence, negative sequence, and zero sequence currents, respectively; θ+, θ and θ0 represent the initial phases of the positive sequence, negative sequence, and zero sequence currents, respectively.
The three-phase voltage at the beginning of distribution area 1 is:
u a = U sin ( w t + θ ) u b = U sin ( w t 2 π 3 + θ ) u c = U sin ( w t + 2 π 3 + θ )
where u represents the phase voltage magnitude of distribution area 1; w represents the fundamental angular frequency, and θ represents the initial phase of the phase voltage at distribution area 1.
According to the single-phase instantaneous power theory based on orthogonal signal construction, the calculation of instantaneous power for the single-phase system is expressed as Equation (3):
P = u α i α + u β i β 2 Q = u α i β u β i α 2
where uα, uβ and iα, iβ denote the constructed orthogonal voltage and current components in the time domain. The β-axis component (a 90° lagging quadrature signal relative to the original single-phase signal) is generated by a second-order generalized integrator-based quadrature signal generator (SOGI-QSG).
From Equations (1)–(3), the three-phase unbalanced power of distribution area 1 can be expressed as the combination of sequence powers:
P x = x = a c ( P x + + P x + P x 0 ) Q x = x = a c ( Q x + + Q x + Q x 0 )
where P x + , P x and P x 0 represent the positive-sequence, negative-sequence, and zero-sequence active power components of phase x for distribution area 1, respectively; and Q x + , Q x and Q x 0 represent the positive-sequence, negative-sequence, and zero-sequence reactive power components of phase x for distribution area 1, respectively.
The specific expressions are in Equations (5):
P a + = U I + cos φ u i + 2 ; P a - = U I cos φ u i 2 ; P a 0 = U I 0 cos φ u i 0 2 P b + = U I + cos φ u i + 2 ; P b - = U I cos ( φ u i 4 π 3 ) 2 ; P b 0 = U I 0 cos ( φ u i 0 2 π 3 ) 2 P c + = U I + cos φ u i + 2 ; P c - = U I cos ( φ u i + 4 π 3 ) 2 ; P c 0 = U I 0 cos ( φ u i 0 + 2 π 3 ) 2 Q a + = U I + sin φ u i + 2 ; Q a - = U I sin φ u i 2 ; Q a 0 = U I 0 sin φ u i 0 2 Q b + = U I + sin φ u i + 2 ; Q b - = U I sin ( φ u i + 4 π 3 ) 2 ; Q b 0 = U I 0 sin ( φ u i 0 2 π 3 ) 2 Q c + = U I + sin φ u i + 2 ; Q c - = U I sin ( φ u i + 4 π 3 ) 2 ; Q c 0 = U I 0 sin ( φ u i 0 + 2 π 3 ) 2
As indicated by Equations (4) and (5), the positive-sequence active and reactive power components for each phase in distribution area 1 are identical, whereas the negative- and zero-sequence components are not. Therefore, it can be deduced that the three-phase power imbalance in the distribution area is attributable to the negative- and zero-sequence power components. According to the mathematical model of the three-phase four-leg converter in the dq0 coordinate system, the DC component on the d-axis of the positive-sequence component corresponds to the active component of the output current. Therefore, a DC value can be given on the d-axis of the positive-sequence component to control the capacitor voltage and ensure the stability of the DC network.
Based on the theoretical analysis above, the block diagram of the designed DC-bus voltage control strategy based on sequence power is shown in Figure 4.
The three-phase currents are filtered and separated using a SOGI-QSG to obtain the negative- and zero-sequence currents at node 0. Concurrently, the phase angle of the positive-sequence current θ+ is determined by a Synchronous Reference Frame Phase-Locked Loop (SRF-PLL). The DC-bus voltage Udc is regulated via a closed-loop PI controller, the output of which serves as the reference value for the d-axis component of the positive-sequence current. This reference, along with the phase angle obtained from the PLL, undergoes a coordinate transformation to generate the three-phase positive-sequence current reference components. Subsequently, these positive-sequence components are superimposed with the separated negative- and zero-sequence components to yield the final unbalanced current compensation reference for the converter. This methodology addresses the three-phase unbalance within the distribution area caused by asymmetrical loads, thereby achieving load balancing among the phases in distribution area 1. The inner current loop, implemented using Model Predictive Control (MPC), tracks the command signal from the outer voltage loop as well as the reference signals for positive-sequence reactive power, negative-sequence, and zero-sequence components, thus compensating for each sequence component within the transformer area.

3.2. Closed-Loop Control Strategy Based on Phase-Separated Power Compensation

From Equation (3), the three-phase load power of distribution area 2 can be calculated as:
S y = P y + j Q y
where Py and Qy are the active and reactive loads, respectively, of phase y in distribution area 2.
Then, the total three-phase power output of distribution area 2 is:
S total = y = a c P y + j Q y
To ensure three-phase load balancing, the unbalanced load must be compensated to achieve system power balance. Let the balanced three-phase power output of distribution area 2 be given by the following equation:
P s a = P s b = P s c = η P a + P b + P c 3 Q s a = Q s b = Q s c = γ Q a + Q b + Q c 3
where η is the active power sharing coefficient and γ is the reactive power sharing coefficient.
Therefore, the three-phase unbalanced power compensation reference for the converter is:
P y r e f = P y η P a + P b + P c 3 Q y r e f = Q y γ Q a + Q b + Q c 3
where Pyref and Qyref are the active and reactive power output references, respectively, for each phase of the converter.
The values of η and γ must be determined based on constraints such as the converter and transformer capacities. These coefficients are selected to achieve power sharing between distribution areas and load balancing, all while operating within the permissible power transfer limits.
(1)
Transformer Capacity Constraint:
P s 2 + Q s 2 S N
where Ps is the sum of the three-phase active power output of the distribution area, and Qs is the sum of the three-phase reactive power output.
(2)
VSC Capacity Constraint:
P v s c 2 + Q v s c 2 S v s c N
where Pvsc and Qvsc are the sum of the three-phase active and reactive power outputs of the converter, respectively.
Since direct per-phase current control suffers from drawbacks such as poor disturbance rejection capability, a dual closed-loop control strategy incorporating both power and current loops is employed. This approach not only overcomes the shortcomings of single-loop current control but also enhances the steady-state accuracy of the system. The block diagram of the designed closed-loop control strategy, which is based on phase-separated power compensation, is presented in Figure 5. It is composed of three primary components:
(1)
Unbalanced Compensation Power Calculation: The first segment calculates the required compensation power for unbalance conditions.
(2)
Outer Power Loop Control: The second segment encompasses the outer power loop, which ensures the stable tracking of the converter’s output power against the phase-separated power reference commands. Subsequently, it generates reference signals for the inner loop via coordinate transformation.
(3)
MPC Inner Current Loop Control: The third segment refers to the inner current loop built on Model Predictive Control (MPC). This loop is tasked with tracking the current reference commands transmitted by the outer power loop and outputting the corresponding switching signals.
Figure 5. Block diagram of the phase-separated power control.
Figure 5. Block diagram of the phase-separated power control.
Electronics 15 00073 g005

3.3. Phase-Separated Power Compensation Control Strategy Based on DPC

The principle of series compensation is shown in Figure 6.
In Figure 6., UAref, UBref, and UCref represent the phase voltage reference vectors of the three-phase system. The magnitudes of these three reference voltages are equal and denoted as Ur. UAref is the reference vector of the system, with a phase of 0, hence means the phase angles of UBref and UCref are −2π/3 and 2π/3, respectively. UAs, UBs, and UCs are the three-phase voltage phasors at the series connection point at the end of the distribution area, where φAs, φBs, and φCs are the phases of the three-phase voltages at the distribution area end relative to the reference voltage vectors UAref, UBref, and UCref. Additionally, φA, φB, and φC represent the phase differences between the three-phase currents IAs, IBs, and ICc and the three-phase voltages UAs, UBs, and UCs at the serial connection point, respectively, yielding the three-phase compensation voltage vectors.
From Figure 6., the three-phase powers at this moment can be calculated as:
P A s = U A S × I A s × c o s ( φ A ) Q A s = U A S × I A s × s i n ( φ A ) P B s = U B s × I B s × c o s ( φ B ) Q B s = U B s × I B s × s i n ( φ B ) P C s = U C s × I C s × c o s ( φ C ) Q C s = U C s × I C s × s i n ( φ C )
where UAs, UBs, and UCs are the magnitudes of the three-phase voltages at the series connection point, IAs, IBs, and ICs are the magnitudes of the three-phase currents, and φA, φB, and φC represent the phase differences between the respective voltages and currents.
By multiplying the three-phase reference voltages UAref, UBref, and UCref with the three-phase currents IA, IB, and IC, the resulting three-phase power values at the terminal under balanced voltage conditions are given as follows:
P A r e f = U A r e f × I A s × cos ( φ A ± φ A s ) Q A r e f = U A r e f × I A s × sin ( φ A ± φ A s ) P B r e f = U B r e f × I B s × cos ( φ B ± φ B s ) Q B r e f = U B r e f × I B s × sin ( φ B ± φ B s ) P C r e f = U C r e f × I C s × cos ( φ C ± φ B s ) Q C r e f = U C r e f × I C s × sin ( φ C ± φ B s )
where UAref, UBref, and UCref are the magnitudes of the three-phase reference voltages; IAs, IBs, and ICc are the magnitudes of the three-phase currents at the series connection point; φAs, φBs, and φCs are the phase differences between the actual three-phase voltages and their respective reference voltages. The phase difference φ is defined as negative when the actual voltage leads the reference voltage, and positive when it lags.
The active and reactive compensation command values for each phase of the controller are:
P a r e f = P A r e f P A s Q a r e f = Q A r e f Q A s P b r e f = P B r e f P B s Q b r e f = Q B r e f Q B s P c r e f = P C r e f P C s Q c r e f = Q C r e f Q C s
When Pxref > 0 and Qxref > 0 (for x = a, b, c), this indicates an undervoltage condition at the transformer area terminal. In this case, the series compensator injects active and reactive power according to these compensation commands to raise the voltage at the connection point from its sagged state to the rated level. Conversely, when Pxref > 0 and Qxref > 0, this signifies an overvoltage condition. The series compensator then absorbs power based on the commands to reduce the voltage from its swollen state down to the rated level.
Through the above analysis, the designed direct power control phase compensation strategy is illustrated in Figure 7. It is primarily divided into three parts. Firstly, by capturing the effective values of the three-phase unbalanced voltage at the series connection point and the output voltage of compensator, the phase difference angle between the three-phase unbalanced voltage and the reference voltage is calculated. Secondly, by utilizing the SRF-PLL to determine the phase of the three-phase unbalanced voltage, the phase differences are combined to construct the three-phase voltage reference. The three-phase reference vectors are then compared with the acquired three-phase voltages through power calculations to obtain the power compensation command values for each phase. Finally, the power compensation reference values are input into the power control loops of each phase, and ultimately, the switch control signals of the compensator are output through 3D-Space Vector Pulse Width Modulation (3D-SVPWM).

4. Simulation

To evaluate the effectiveness of the unbalance compensation in the distribution area, the three-phase current unbalance factor is calculated using the following formula:
λ I = I m a x I a v I a v × 100 %
β = S S n × 100 %
where λI is the three-phase current imbalance, Imax is the maximum value in the ABC phase current, Iav is the effective value mean of phase currents. β represents the distribution transformer load rate, S is the transformer active power used, and Sn is the transformer apparent power.

4.1. Experimental Setup

To validate the effectiveness of the proposed control strategy, a simulation model was constructed in MATLAB/Simulink software based on the actual topology of a specific distribution area. The simulation software employed was MATLAB 2024b, utilizing the ode1 (Euler) solver with a simulation step size of 1 × 10−6 s and a sampling frequency of 10 kHz. The distribution area topologies are illustrated in Figure 8.
To address the three-phase imbalance at the output side of the low-voltage distribution substation transformer, power sharing, and voltage issues at the end of the distribution network, the parallel compensation converters VSC1 and VSC2 within the coordinated optimization flexible interconnection device are embedded at nodes 0 of Substation 1 and Substation 2, respectively. The series compensation converter VSC3 is embedded at node 26 of Substation 2. The length of the DC line is 0.4 km. The DC line resistance parameter is set to 0.46 Ω/km, and the line equivalent impedance is set to 0.276 Ω. Combined with the original substation analysis, the parallel compensator converters VSC1 and VSC2 have a capacity of 100 kVA each, and the series compensator converter VSC3 has a capacity of 50 kVA. The LC filter has an inductance L of 3 mH and a capacitance C of 8 μF. The neutral inductance Ln is set to 3 mH, the DC network voltage regulation capacitance Cdc is set to 3 mF, and the converter switch frequency is 10 kHz.
The system control parameters are shown in Table 1. The loads and PV connections at each node of distribution areas 1 and distribution areas 2 are shown in Appendix A, Table A1 and Table A2.
For analytical purposes, the following operating conditions have been established (load power factor of 0.9).
Operating Condition 1: Select the PV and load data at 18:00 in the afternoon to represent a scenario with a high proportion of load and a low proportion of photovoltaics.
Operating Condition 2: Select the PV and load data at 12:00 noon to represent a scenario with a high proportion of photovoltaics and a low proportion of load.
Boundary conditions: The interconnected transformer areas are all three-phase four-wire low-voltage distribution networks, with the effective value of the line voltage on the secondary side of the transformer being 380 V ± 10% and the frequency being 50 Hz. The reference value of the DC bus voltage is 750 V.
Load scenarios of Operating Condition 1: Distribution Area 1 is a short-line and light-load area with a low transformer load rate, while distribution Area 2 is a long-line and heavy-load area with an excessively high transformer load rate and an excessively low voltage at the end of its distribution network.
Load scenarios of Operating Condition 2: Distribution Area 1 is a short-line area with low photovoltaic (PV) penetration, while distribution Area 2 is a long-line area with high PV penetration, and the PV output at its end is much higher than the power consumed by end users.
In this simulation validation, VSC1 is selected to control the DC bus voltage. The coordinated optimization flexible interconnection device is activated when the system operates for 1 s. In Operating Condition 1, there is a sudden increase in the load at the end of distribution area 2 at 1.5 s, while in Operating Condition 2, there is a sudden decrease in the load at the end of distribution area 2 at 1.5 s.

4.2. Simulation Analysis

4.2.1. Operating Condition 1

The simulation waveforms for each distribution area under Operating Condition 1 are as Figure 9 and Figure 10. The simulation process for Operating Condition 1 can be divided into three stages, with the analysis data from the simulation results presented in Table 2 and Table 3.
Based on the above data analysis, there are distinct operational characteristics and improvements of the power distribution system in different stages regarding the interconnected compensator. Prior to the activation of the interconnected compensator, several critical issues plagued the system: both distribution area 1 and distribution area 2 faced severe three-phase unbalance at node 0; the two areas had disparate loading conditions, with the distribution transformer in area 1 running under light load while that in area 2 was heavily loaded; most critically, node 26 of distribution area 2 suffered a severe voltage limit violation, with the voltage dropping over 10% below the nominal value, and prolonged operation under such circumstances would pose a huge risk of equipment damage and lead to substantial economic losses. After installing the interconnection compensation device, notable improvements were achieved: the three-phase current imbalance at node 0 of distribution area 1 and 2 dropped drastically from 22.56% and 23.96% to 0.17% and 0.26%, respectively; the load factor of the transformer in distribution area 1 rose from 30.21% to 64.6%, while that of distribution area 2 declined from 89.78% to 72.21%; the low voltage at node 26 of distribution area 2 increased from the original 277.8 V, 266.1 V, and 252.1 V to around 311 V, effectively resolving the problems of three-phase imbalance and voltage limit violations at substation terminals. Additionally, when a sudden load surge occurred at node 26 of distribution area 2, given that distribution area 1 still had spare capacity, most of the energy needed for the sudden load increase was directly supplied by distribution area 1 through the DC network, which not only boosted the utilization rate of distribution area 1 but also lowered the load rate of distribution area 2. The power transmitted by each converter in Operating Condition 1 is shown in Figure 11.

4.2.2. Operating Condition 2

The simulation waveforms for each distribution area under operating condition 2 are as Figure 12 and Figure 13. The simulation process for operating condition 2 can be divided into three stages, with the analysis data from the simulation results presented in Table 4 and Table 5.
Based on the above data analysis, it is evident that before the interconnection compensation device is activated, the irregular connection of single-phase photovoltaics can to some extent lower the load rate of the distribution transformer, yet a severe three-phase imbalance problem persists at node 0 of both distribution area 1 and distribution area 2; additionally, the PV output at the end of distribution area 2 far surpasses the local end users’ consumption capacity, resulting in a serious voltage violation at node 26 of distribution area 2. Upon the activation of the interconnection compensation device, the three-phase current imbalance at node 0 of distribution area 1 and distribution area 2 drops drastically from 28.35% and 27.63% to 0.68% and 0.04% respectively; meanwhile, the excess PV output at the end of distribution area 2 is transmitted to the start of each distribution area via the DC network, which reduces the active output of each transformer, brings the overvoltage at node 26 of distribution area 2 down from around 365.2 V, 352.4 V, and 345.5 V to approximately 311 V, and enhances PV absorption capacity, thus resolving both the three-phase imbalance and the end-of-substation voltage violation issues. Furthermore, when there is a sudden load drop at node 26 of distribution area 2, end users there would theoretically encounter a more severe overvoltage problem, but the application of the series compensator to transfer surplus power to the beginning of each distribution area not only mitigates the overvoltage risk but also leads to a notable reduction in the load rate of distribution transformers in each substation. The power transfer of each converter in operating condition 2 is depicted in Figure 14.
Through the simulation verification of the above two operating conditions, the integrated operation control strategy based on series-parallel coordinated operation proposed in this paper has been effectively demonstrated to address the three-phase imbalance and end-of-substation voltage violation issues, thereby achieving power sharing between distribution areas.

5. Conclusions

To address the power quality issues such as three-phase imbalance at the beginning of a low-voltage distribution network and overvoltage at the end, this paper proposes a control strategy based on series-parallel coordinated operation. The following conclusions are drawn from the MATLAB simulation analysis:
(1)
A low-voltage substation series-parallel coordinated control strategy considering direct power control is proposed in this study, comprehensively addressing the issues of three-phase imbalance at the substation and end-of-substation voltage violations.
(2)
Interconnecting substations through VSCs allows for balancing transformer output power by scheduling active power and compensating reactive power. This can reduce overall system losses and significantly enhance the economic efficiency of interconnected substations.
(3)
The proposed topology can upgrade traditional distribution networks into topologically flexible, controllable AC/DC hybrid distribution networks, aligning with the development trends of modern distribution systems.
During the simulation process of this paper, all compensation devices cooperated well; they possess high dynamic response capability. However, practical application is confronted with challenges of measurement delay and converter capacity limitation. A reasonably designed protection scheme can respond quickly when the system fails. It effectively ensures the safe and stable operation of the power system.

Author Contributions

Conceptualization, methodology, software, validation, formal analysis, investigation, writing—original draft preparation, writing—review and editing, visualization, H.J.; resources, data curation, writing—original draft preparation, writing—review and editing, supervision, Z.L.; methodology, formal analysis, project administration, funding acquisition, supervision, X.Y.; project administration, supervision, C.Z.; funding acquisition, supervision, W.X.; supervision, project administration, Q.F.; supervision, C.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Key Research and Development Plan (2022YFE0205300), in part by the National Natural Science Foundation of China (NSFC) (52367005, 52067004), in part by the Guizhou Provincial Key Technology R&D Program ([2024] General 049).

Data Availability Statement

The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding authors.

Conflicts of Interest

Authors Qihui Feng and Chenghui Lin were employed by the company Guizhou Power Grid Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
DGDistributed generators
ACAlternating current
DCDirect current
SVGStatic var generator
OLTCOn-load tap changer
PVPhotovoltaic
PCCPoint of common coupling
VSCVoltage Source Converter
DPCDirect power control
SOGI-QSGSecond-order generalized integrator-based quadrature signal generator
SRF-PLLSynchronous reference frame phase-locked loop
MPCModel Predictive Control
3D-SVPWM3D-spacevector pulse width modulation

Appendix A

Appendix A.1

Table A1. Three-phase load and photovoltaic integration data of power distribution areas 1 (typical day 12/18 h).
Table A1. Three-phase load and photovoltaic integration data of power distribution areas 1 (typical day 12/18 h).
NodeLoad (kW)PV (kW)
A PhaseB PhaseC PhaseA PhaseB PhaseC Phase
11.8/31.8/31.8/32.92500
2001.8/302.9250
31.8/31.8/30002.925
401.8/302.92500
51.8/300002.925
61.8/31.8/31.8/3000
70002.92500
81.8/31.8/31.8/32.9252.9250
9000000
101.8/31.8/302.9252.9252.925
11001.8/3000
121.8/31.8/30000
13001.8/32.9252.9250
141.8/31.8/30002.925
15001.8/32.92500
1600002.9250
1701.8/30000
181.8/300000
19000000
20000000

Appendix A.2

Table A2. Three-phase load and photovoltaic integration data of power distribution areas 2 (typical day 12/18 h).
Table A2. Three-phase load and photovoltaic integration data of power distribution areas 2 (typical day 12/18 h).
NodeLoad (kW)PV (kW)
A PhaseB PhaseC PhaseA PhaseB PhaseC Phase
11.8/31.8/31.8/3000
21.8/30002.9250
31.8/31.8/31.8/3000
41.8/301.8/32.92500
501.8/30000
61.8/31.8/30000
71.8/301.8/3002.925
81.8/31.8/31.8/3000
901.8/30000
101.8/300000
111.8/3002.92500
1201.8/31.8/302.9252.925
131.8/31.8/30000
141.8/300000
1501.8/30000
161.8/301.8/3000
171.8/31.8/31.8/3002.925
180002.9252.9250
191.8/31.8/30000
201.8/301.8/3000
211.8/31.8/31.8/3000
2201.8/3002.9250
231.8/301.8/32.92500
241.8/31.8/30000
25001.8/3000
261.8/31.8/302.9252.9250
271.8/31.8/31.8/3002.925
281.8/31.8/302.9252.9250
291.8/301.8/3002.925
301.8/31.8/302.9252.9250
311.8/31.8/31.8/32.9252.9252.925
321.8/31.8/31.8/32.92500

References

  1. Peng, Y.; Liao, H.; Wang, F.; Ye, H. Optimal path of China’s economic structure and energy demand to carbon neutrality. Energy Econ. 2025, 141, 108046. [Google Scholar] [CrossRef]
  2. Yu, H.A.N.; Qian, Z.; Li, Y.; Bian, X.; Deng, W.; An, H.; Zhang, C. Analysis of power quality issues and quantitative evaluation of additional losses in low voltage distribution networks connected to household photovoltaics. J. Electr. Power Sci. Technol. 2024, 39, 177–186. [Google Scholar] [CrossRef]
  3. Yu, D.; Zhang, Y.; Wang, Q.; Su, Y. Research and Governance of Power Quality of the Distribution Network Based on Large-Scale Distributed PV Access. J. Phys. Conf. Ser. 2023, 2477, 012014. [Google Scholar] [CrossRef]
  4. Alwez, M.A.; Jasni, J.; MohdRadzi, M.A.; Azis, N. Adaptive reactive power control for voltage rise mitigation on distribution network with high photovoltaic penetration. Renew. Sustain. Energy Rev. 2025, 207, 114948. [Google Scholar] [CrossRef]
  5. Lima, D.F.; Vieira, J.C.M. (Eds.) Voltage Regulation in Distribution Systems with High Penetration of Renewable Resources. In Proceedings of the 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 4–8 August 2019. [Google Scholar] [CrossRef]
  6. Alabri, W.; Jayaweera, D. Voltage regulation in unbalanced power distribution systems with residential PV systems. Int. J. Electr. Power Energy Syst. 2021, 131, 107036. [Google Scholar] [CrossRef]
  7. Li, J.; Zhang, L.; Zhang, B.; Tang, W. Coordinated planning for flexible interconnection and energy storage system in low-voltage distribution networks to improve the accommodation capacity of photovoltaic. Glob. Energy Interconnect. 2023, 6, 700–713. [Google Scholar] [CrossRef]
  8. Wang, Y. (Ed.) Three-Phase Imbalance Control Method for Distribution Grid Based on SVG and Phase Switch Technology. In Big Data Analytics for Cyber-Physical System in Smart City; Springer: Singapore, 2020. [Google Scholar]
  9. Bao, G.; Ke, S. Load Transfer Device for Solving a Three-Phase Unbalance Problem Under a Low-Voltage Distribution Network. Energies 2019, 12, 2842. [Google Scholar] [CrossRef]
  10. Trintis, I.; Douglass, P.J.; Munk-Nielsen, S. (Eds.) Unbalanced voltage compensation in low voltage residential AC grids. In Proceedings of the 2016 IEEE Energy Conversion Congress and Exposition (ECCE), Milwaukee, WI, USA, 18–22 September 2016. [Google Scholar] [CrossRef]
  11. Li, Y.; Yang, L.; Zhu, L.W.; Zhao, T.; Liu, Y.P.; Gao, L. Fault Location Method and Hardware Monitoring System of Parallel Compensating Capacitors. Appl. Mech. Mater. 2013, 448–453, 1977–1981. [Google Scholar] [CrossRef]
  12. Faiz, M.T.; Khan, M.M.; Jianming, X.; Ali, M.; Habib, S.; Hashmi, K.; Tang, H. Capacitor Voltage Damping Based on Parallel Feedforward Compensation Method for LCL-Filter Grid-Connected Inverter. IEEE Trans. Ind. Appl. 2020, 56, 837–849. [Google Scholar] [CrossRef]
  13. Zhang, Y.; Li, D.; Gan, J.; Ren, Q.; Yu, H.; Zhao, Y.; Zhang, H. A Cooperative Operation Optimization Method for Medium- and Low-Voltage Distribution Networks Considering Flexible Interconnected Distribution Substation Areas. Processes 2025, 13, 1123. [Google Scholar] [CrossRef]
  14. Wu, T.F.; Chang, Y.H.; Hung, C.C. Power Regulation Based on Three-Phase Balanced Currents with Direct Digital Control. IEEE Access 2025, 13, 115845–115859. [Google Scholar] [CrossRef]
  15. Deng, H.; Li, G.; Zhou, X.; Li, H.; Wang, H. The Control Technology of Three-Phase Unbalance Load in Low Voltage Distribution Networks Based on Coordinated Controlled SVGs. Diangong Jishu Xuebao/Trans. China Electrotech. Soc. 2017, 32, 75–83. [Google Scholar] [CrossRef]
  16. Chen, L.; Bian, H.; Wang, H.; Yao, M.; Zhang, S.; Zhang, X. (Eds.) The Optimal Scheduling Method for Source-grid-Load-storage Based on Multi-time Scale and Hierarchical Decoupling. In Proceedings of the 2024 IEEE 2nd International Conference on Power Science and Technology (ICPST), Dali, China, 9–11 May 2024. [Google Scholar] [CrossRef]
  17. Li, P.; Ji, H.; Wang, C.; Zhao, J.; Song, G.; Ding, F.; Wu, J. Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point. IEEE Trans. Sustain. Energy 2017, 8, 1430–1442. [Google Scholar] [CrossRef]
  18. Mahdavi, M.; Alshammari, N.F.; Awaafo, A.; Jurado, F.; Gopi, P. An Economic Loss Reduction Using Static VAR Compensator and Capacitor Placement in Reconfigurable and Expandable Distribution Grids with a Variable Electric Power Demand. IEEE Trans. Ind. Appl. 2025, 61, 5585–5596. [Google Scholar] [CrossRef]
  19. Chang, M.; Cha, J.; Jang, G. Static Synchronous Compensator Control Strategy Using Voltage Sensitivity. IFAC-PapersOnLine 2023, 56, 447–450. [Google Scholar] [CrossRef]
  20. Papic, I. (Ed.) Power quality improvement using distribution static compensator with energy storage system. In Proceedings of the Ninth International Conference on Harmonics and Quality of Power Proceedings (Cat No00EX441), Orlando, FL, USA, 1–4 October 2000. [Google Scholar] [CrossRef]
  21. Kannan, R.; Krishnan, B.; Porkumaran, K.; Prabakar, S.; Elamvazuthi, I.; Srinivasan, K. (Eds.) Power Quality Improvement Using UPQC for Grid Interconnected Renewable Energy Sources. In Proceedings of the 2020 8th International Conference on Intelligent and Advanced Systems (ICIAS), Kuching, Malaysia, 13–15 July 2021. [Google Scholar] [CrossRef]
  22. Metia, A.; Ghosh, S. (Eds.) Power Quality Improvement by UPQC in a Distribution Network using a Novel SRF based Control Approach. In Proceedings of the 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE), Madurai, India, 14–15 December 2023. [Google Scholar] [CrossRef]
  23. Liu, S.; Zhang, S.; Tang, W.; Wang, S.; Ying, J. Voltage and reactive power coordinated control strategy for flexible on-load tap changer. Electr. Power Eng. Technol. 2024, 43, 203–213. [Google Scholar] [CrossRef]
  24. Zhang, R.; Prasad, V.H.; Boroyevich, D.; Lee, F.C. Three-dimensional space vector modulation for four-leg voltage-source converters. IEEE Trans. Power Electron. 2002, 17, 314–326. [Google Scholar] [CrossRef]
  25. Jiang, C.; Yuan, C.; Wang, F.; Zhang, S. Coordinated Direct Power Strategy Based Active Disturbance Rejection Control for MMC-UPQC. IEEE Trans. Ind. Electron. 2025, 72, 11778–11790. [Google Scholar] [CrossRef]
  26. Song, Z.; Chen, W.; Xia, C. Predictive Direct Power Control for Three-Phase Grid-Connected Converters Without Sector Information and Voltage Vector Selection. IEEE Trans. Power Electron. 2014, 29, 5518–5531. [Google Scholar] [CrossRef]
  27. Peng, L.; Fu, Z.; Xiao, T.; Qian, Y.; Zhao, W.; Zhang, C. An Improved Dual Second-Order Generalized Integrator Phased-Locked Loop Strategy for an Inverter of Flexible High-Voltage Direct Current Transmission Systems under Nonideal Grid Conditions. Processes 2023, 11, 2634. [Google Scholar] [CrossRef]
  28. Bamigbade, A.; Saafan, A.A.; Balogun, A.; Alfred, D.; Salman, U.T.; Khadkikar, V. Robust Second-Order Generalized Integrator Phase-Locked Loop for Grid Synchronization of Single-Phase Inverters. IEEE Trans. Ind. Appl. 2025, 61, 7459–7469. [Google Scholar] [CrossRef]
Figure 1. Equivalent circuit diagram of low-voltage distribution network with DG.
Figure 1. Equivalent circuit diagram of low-voltage distribution network with DG.
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Figure 2. Flexible interconnection topology diagram.
Figure 2. Flexible interconnection topology diagram.
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Figure 3. Flexible interconnection topology configuration diagram: (a) Power flow diagram for operating condition 1; (b) Power flow diagram for operating condition 2.
Figure 3. Flexible interconnection topology configuration diagram: (a) Power flow diagram for operating condition 1; (b) Power flow diagram for operating condition 2.
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Figure 4. Block diagram of the DC-bus voltage control strategy based on sequence power.
Figure 4. Block diagram of the DC-bus voltage control strategy based on sequence power.
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Figure 6. Schematic diagram of series compensation: (a) Under-voltage compensation vector diagram; (b) Over-voltage compensation vector diagram.
Figure 6. Schematic diagram of series compensation: (a) Under-voltage compensation vector diagram; (b) Over-voltage compensation vector diagram.
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Figure 7. Schematic diagram of series compensation control.
Figure 7. Schematic diagram of series compensation control.
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Figure 8. Flexible Interconnection Topology for Sub-distribution Areas.
Figure 8. Flexible Interconnection Topology for Sub-distribution Areas.
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Figure 9. Simulation waveform diagram of operating condition 1: (a) Current, output power, and compensation power waveforms at node 0 of distribution area 1. (b) Current, output power, and compensation power waveforms at node 0 of distribution area 2. (c) Current, output power, and compensation power waveforms at node 26 of distribution area 2.
Figure 9. Simulation waveform diagram of operating condition 1: (a) Current, output power, and compensation power waveforms at node 0 of distribution area 1. (b) Current, output power, and compensation power waveforms at node 0 of distribution area 2. (c) Current, output power, and compensation power waveforms at node 26 of distribution area 2.
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Figure 10. DC-bus voltage waveform for operating condition 1.
Figure 10. DC-bus voltage waveform for operating condition 1.
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Figure 11. Power transmitted by each converter in operating condition 1.
Figure 11. Power transmitted by each converter in operating condition 1.
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Figure 12. Simulation waveform diagram of operating condition 2: (a) Current, output power, and compensation power waveforms at node 0 of distribution area 1. (b) Current, output power, and compensation power waveforms at node 0 of distribution area 2. (c) Current, output power, and compensation power waveforms at node 26 of distribution area 2.
Figure 12. Simulation waveform diagram of operating condition 2: (a) Current, output power, and compensation power waveforms at node 0 of distribution area 1. (b) Current, output power, and compensation power waveforms at node 0 of distribution area 2. (c) Current, output power, and compensation power waveforms at node 26 of distribution area 2.
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Figure 13. DC-bus voltage waveform for operating condition 2.
Figure 13. DC-bus voltage waveform for operating condition 2.
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Figure 14. Power transmitted by each converter in operating condition 2.
Figure 14. Power transmitted by each converter in operating condition 2.
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Table 1. System control parameter.
Table 1. System control parameter.
ParameterValue
Relevant parameters of distribution transformer 1SN1 = 200 kVA, UN1 = 380 V, Z1ep = 0.00388 + j0.0014 Ω
Relevant parameters of distribution transformer 2SN2 = 200 kVA, UN2 = 380 V, Z2ep = 0.0958 + j0.0324 Ω
Inverter VSC1 control parametersKP = 8, KI = 50
Inverter VSC2 control parametersKP = 0.002, KI = 1.1
Inverter VSC3 control parametersKPP = 0.001, KIP = 2, KPU = 1.5, KIU = 50 KPI = 50, KII = 100
Table 2. Detailed steady-state electrical parameters for Case 1 simulation stages.
Table 2. Detailed steady-state electrical parameters for Case 1 simulation stages.
StageLocationPhaseP (kW)Q (kvar)I (A)U (V)
Stage 1node 0 of DA 1A/B/C22.65/18.52/14.219.68/8.09/6.37158.1/129.4/99.5-
node 0 of DA 2A/B/C67.15/54.81/40.9230.96/25.46/19.23477.6/389.5/288.8-
node 26 of DA 2A/B/C13.16/13.22/9.636.34/6.39/4.66-277.8/266.1/252.1
Stage 2node 0 of DA 1A/B/C30.72/39.65/39.5516.83/16.82/17.05275.5/275.1/276.0-
node 0 of DA 2A/B/C39.72/39.71/39.6827.26/27.23/27.28310.2/311.1/309.6-
node 26 of DA 2A/B/C20.15/18.10/12.119.68/8.76/5.86-311.8/311.6/311.4
Stage 3node 0 of DA 1A/B/C45.42/45.34/45.2219.46/19.43/19.65316.2/318.1/316.4-
node 0 of DA 2A/B/C40.05/40.01/40.0229.15/29.18/29.20318.2/318.3/318.4-
node 26 of DA 2A/B/C25.18/22.10/15.1312.08/10.70/7.32-310.8/310.9/310.9
Table 3. Evolution of key system performance indices in Case 1.
Table 3. Evolution of key system performance indices in Case 1.
IndexParameter SymbolStage 1Stage 2Stage 3Governance Outcomes
Current imbalanceλI122.56%0.17%0.26%Maintain a high degree of equilibrium
λI223.96%0.26%0.03%
Load factor of distribution transformersβ130.21% (Light load)64.60%73.99%Proactively assume additional load
β289.78% (Heavy load)72.21%74.26%Maintain the load factor within a reasonable range.
Terminal voltageUnode26252.1~277.8 V311 V311 VVoltage has recovered from a severe over-limit condition to its rated value
Table 4. Detailed steady-state electrical parameters for Case 2 simulation stages.
Table 4. Detailed steady-state electrical parameters for Case 2 simulation stages.
StageLocationPhaseP (kW)Q (kvar)I (A)U (V)
Stage 1node 0 of DA 1A/B/C2.74/1.75/0.408.52/6.56/5.1757.5/43.6/33.3-
node 0 of DA 2A/B/C29.01/22.22/16.3828.03/22.58/15.99260.7/204.8/147.3-
node 26 of DA 2A/B/C27.89/23.45/15.2312.97/11.03/7.21-365.2/352.4/345.5
Stage 2node 0 of DA 1A/B/C2.64/2.58/2.6510.95/10.85/10.9173.1/72.5/72.2-
node 0 of DA 2A/B/C16.50/16.49/16.4927.56/27.54/27.55207.4/207.3/207.2-
node 26 of DA 2A/B/C20.17/18.21/12.329.38/8.56/5.82-310.8/310.2/310.8
Stage 3node 0 of DA 1A/B/C1.62/1.60/1.636.55/6.50/6.4043.9/43.5/42.5-
node 0 of DA 2A/B/C13.06/13.05/13.0524.24/24.23/24.24177.3/177.6/177.7-
node 26 of DA 2A/B/C13.63/12.28/8.276.42/5.83/3.94-310.2/310.8/310.8
Table 5. Evolution of key system performance indices in Case 2.
Table 5. Evolution of key system performance indices in Case 2.
IndexParameter SymbolStage 1Stage 2Stage 3Governance Outcomes
Current imbalanceλI128.35%0.68%1.38%Maintain a high degree of equilibrium
λI227.63%0.04%0.11%
Load factor of distribution transformersβ110.42%16.80%10.02%Photovoltaic power is being fed back into the grid, whilst the load factor remains at a low level
β247.45%48.18%41.30%Maintain the load factor within a reasonable range
Terminal voltageUnode26345.5~365.2 V310 V310 VSevere overvoltage has been suppressed to normal levels.
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MDPI and ACS Style

Jiang, H.; Lu, Z.; Yuan, X.; Zhang, C.; Xiong, W.; Feng, Q.; Lin, C. Coordinated Control Strategy for Series-Parallel Connection of Low-Voltage Distribution Areas Based on Direct Power Control. Electronics 2026, 15, 73. https://doi.org/10.3390/electronics15010073

AMA Style

Jiang H, Lu Z, Yuan X, Zhang C, Xiong W, Feng Q, Lin C. Coordinated Control Strategy for Series-Parallel Connection of Low-Voltage Distribution Areas Based on Direct Power Control. Electronics. 2026; 15(1):73. https://doi.org/10.3390/electronics15010073

Chicago/Turabian Style

Jiang, Huan, Zhiyang Lu, Xufeng Yuan, Chao Zhang, Wei Xiong, Qihui Feng, and Chenghui Lin. 2026. "Coordinated Control Strategy for Series-Parallel Connection of Low-Voltage Distribution Areas Based on Direct Power Control" Electronics 15, no. 1: 73. https://doi.org/10.3390/electronics15010073

APA Style

Jiang, H., Lu, Z., Yuan, X., Zhang, C., Xiong, W., Feng, Q., & Lin, C. (2026). Coordinated Control Strategy for Series-Parallel Connection of Low-Voltage Distribution Areas Based on Direct Power Control. Electronics, 15(1), 73. https://doi.org/10.3390/electronics15010073

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