## 1. Introduction

Assessments of renewable energy potential are gaining much interest worldwide due to the inceptions of self-reliant energy generation schemes. Such inceptions promote the utilization of renewable energy sources (RESs) in the form of microgrids [

1,

2] and also reduce the pressure on conventional fossil fuels which in turn reduce the greenhouse gas emissions [

3,

4,

5]. According to the National Electricity Forecasting Report, the solar energy is the largely installed RES in Australia in terms of the proportion of houses and it is expected that by 2035–2036, the small-scale photovoltaic (PV) capacity will approximately be 20.1 GW [

6]. However, the large number of PV systems raise new technical challenges such as grid interconnections, protections, stability, and power quality issues [

3,

7]. On the contrary, close proximities of multiple PV systems at the distribution system level may lead to interactions or unwanted oscillations which severely affect the overall operational efficiency of the system [

8].

The consequences of connecting multiple PV units with the existing power grid are referred as the deterioration of power quality which is usually measured in terms of total harmonic distortions (THDs) and instability due to the poor damping characteristics of the system [

9,

10,

11]. Since the output power from the solar PV units is DC power and power conditioning units, i.e., voltage source inverters (VSIs) are used for power conversions, there always exist some harmonics in the output AC power [

12]. Moreover, the atmospheric conditions such as the solar irradiation and temperature change frequently for which the stability of the whole system is affected. The impacts of large penetration of solar PV systems are evaluated in [

13,

14] using simulation studies under different conditions. Recently, the dynamic voltage stability of grid-connected PV systems are analyzed in [

15] due to changes in its load and operating conditions. In [

13,

14,

15], the analyses are performed based on the available models in the simulation tools. However, the models available in the simulation tools do not provide useful insights to have clear understanding about dynamic characteristics of PV units in grid-connected systems.

The dynamical modeling and simulation of grid-connected PV systems are performed in [

16,

17,

18,

19] where the model are basically developed for a single PV units though, in some cases, the analyses are conducted by considering large-scale power systems [

20,

21]. In these literature, the analyses are basically conducted to investigate the dynamic interactions in terms of THD in the injected current by each PV unit as well as to analyze the stability of the whole system [

22]. In [

23], the dynamic stability of large-scale distributed solar PV systems is analyzed by considering a practical case study while the dynamical models of PV unit are still considered as similar to that of a single PV unit. The small-signal stability analysis of a large distribution system with a number of PV units are analyzed in [

24] through eigenvalue analysis while the dynamical models for each PV unit are considered as similar to that in [

23]. However, the analyses based on the dynamical model of a single PV unit does not reflect the actual dynamic interactions within the system.

The modeling of

N-parallel grid-connected inverters for PV applications are presented in [

25] by considering

$LCL$ output filters. In [

25], each parallel inverter is directly connected to the grid and the dynamical models are developed for each model which do not reflect any interaction due to the inclusion of multiple PV units. Recently, a similar approach is used in [

26] to represent the dynamical models of multiple PV units. However, the problem of solving dynamic interactions based on the dynamical models remains unsolved. The dynamic characteristics of multiple PV units are analyzed in [

27] where it is considered that all PV units are connected in a microgrid. However, the dynamical model in [

27] does not include the effects of dynamic interactions due to other PV units within the microgrid.

The analysis of dynamic interactions and design of controllers require meaningful dynamical models in order to eliminate the negative impacts of such interactions and maintain the stability of the whole system. The existing literature, so far discussed in this paper, does not provide useful insights regarding the dynamic interactions in a grid-connected system with multiple PV units though there exist some rigorous analytical studies. However, all these analyses depend on the dynamical models and these are significantly affected due to the use of simplified dynamical models. Moreover, the dynamical models also depend on the configurations through which PV units are connected to the grid. For example, PV units may be directly connected to the grid, through a point of common coupling, and through lines. Thus, it is worth to develop generalized dynamical model by considering all possible configurations, analyze dynamic interactions, and design controllers based on such models.

This paper aims to develop generalized dynamical models for grid-connected systems with multiple PV units with three different configurations. These three configurations include: (i) the direct connection of multiple PV units to the grid; (ii) the connection of multiple PV units to the grid through a point of common coupling (PCC); (iii) multiple PV units connected to the grid without a PCC but with connecting lines through all PV units are coupled with each other. The dynamic interactions are theoretically analyzed based on the generalized dynamical models. Simulation studies are carried out on an IEEE 15-bus test system to demonstrate the dynamical interactions among different PV units.

The rest of the paper is organized as follows.

Section 2 includes the detailed dynamical models of grid-connected PV systems for different configurations. The dynamic interactions among different PV units are theoretically analyzed in

Section 3 and simulation results are presented in

Section 4 to support the analysis in terms of the power quality. Finally, the paper is concluded in

Section 5 along with some future research directions.

## 3. Analysis of Dynamic Interactions

From the dynamical models of multiple PV units in the first configuration as shown in

Figure 2, it can be seen from Equation (

4) that there are no direct interactions among different PV units. However, there will still be some dynamical interactions which are mainly through the grid connection points. In this case, the output current of each PV unit will contain some harmonics and the THD will be increased with an increase in the number of PV units.

For the second configuration in

Figure 3, there are dynamic interactions which can be seen from Equation (

6). These interactions are mainly due to the voltage drop for flowing current in the line from other PV units where the line connects the PCC with the grid. In this case, the THD will be slightly less than the first configuration as the output current of each PV unit flow through an additional inductance which is also obvious from the term

${L}^{\prime}$ in Equation (

6).

The configuration in

Figure 4 is quite complicated and thus, the dynamical model as represented by Equation (

8) is also more complicated. In this model, the interactions mainly depend on the flow of the current as well the the coupling between lines. The dynamic interactions among different PV units in

Figure 4 are more than all other configurations due to additional lines which establish connections among all PV units within the grid-connected system. This phenomenon is also obvious from Equation (

8) from where it can be seen that it includes more additional terms than any other configurations. However, the THD will be less in this case because the value of inductance (

${L}_{\sum}^{\prime}$) through which the current flows is much higher than all other configurations. Simulation results are carried out in the following section to further justify these analyses.

## 4. Simulation Results

The dynamic interactions among different PV units are analyzed by carrying out simulations on an IEEE 15-bus test system as shown in

Figure 5. The detailed parameters of the connecting lines are provided in

Table 1. Multiple PV units are connected at bus-3 by considering three different configurations. In this section, the configurations in

Figure 2,

Figure 3 and

Figure 4 are considered as configurations

a,

b, and

c (CONF-

a, CONF-

b, and CONF-

c), respectively. For all these configurations, three PV units (PV-1, PV-2, and PV-3) are considered to analyze the dynamic interactions, i.e.,

$n=3$. The maximum power capacities of PV-1, PV-2, and PV-3 are considered as 6.1 kW, 9.5 kW, and 3.29 kW, respectively. The interactions are analyzed in terms of THD in the current of a PV unit and in this simulation, the second PV unit (PV-2) is considered as the reference unit. According to IEEE standard, the acceptable THD in the output current of a VSI is 5 percent.

At the beginning of the simulation, the output current of the PV-2 is observed for CONF-

a solely with this PV unit. From

Figure 6, it can be seen that the current of PV-2 is sinusoidal with

$n=1$ though the current responses are distorted with the increases in PV units. It is worth to note that only a certain portion of the waveform is considered to clearly present the distortions in the waveform. The corresponding THDs are shown in

Figure 7 from where it can be clearly seen that the values of THDs increase with the increase in PV units within the system. Initially, the THD in the current of the PV-2 is 0.14 percent and it increases to 0.9 percent when another PV unit is connected while it becomes 2.94 percent when all three PV units are connected. The THDs for all other PV units are also observed at the same time and it is observed that the THD in the output current of the PV-1 is 8.70 percent when all PV units are connected though its initial value was 0.14 percent. Therefore, it can be said that the values of THDs become undesirable for some PV units in a grid-connected system. However, the values of THD will be far away from the acceptable limit when more PV units are connected with the grid.

A similar operating condition is considered for CONF-

b for which the current response of the PV-2 is shown in

Figure 8 where the current responses exhibit quite similar characteristics to that of CONF-

a, i.e., these responses are distorted with the increase in the number of PV units. The THDs corresponding to these currents are shown in

Figure 9. For this configuration, the value of THD is slightly lower (0.84 percent) when one more PV unit is connected, i.e.,

$n=2$ though it is 0.14 percent for

$n=1$. However, it increases from 0.84 percent to 2.81 percent for

$n=3$. In this situation, the THD in the output current of the PV-1 is 8.27 percent which is still more than 5 percent. Therefore, the dynamic interactions among multiple PV units for CONF-

b also deteriorates the power quality of other PV units within the system.

The dynamic interactions among multiple PV units are finally analyzed for CONF-

c and in this case, the system is first simulated with at least two PV units rather than a single PV unit as considered for previous two configurations. The current responses still show the similar behaviors, i.e., these responses are distorted when the number of PV units increases which can also be seen from

Figure 10. The THDs in

Figure 11 clearly show that these values are lower than two other configurations. When

$n=2$, the value of the THD in the output current of the PV-2 is 0.71 percent and it is 2.32 percent when all three PV units are connected to the system through lines. However, the THD in the output current for the PV-1 is 6.73 percent which exceeds the acceptable limits.

Simulation results for all configurations clearly show that there exist dynamic interactions with increases in PV units. In all cases, the dynamics of one PV unit deteriorate the power quality of other PV units within the system.