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Keywords = LV grid overvoltage

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20 pages, 10185 KB  
Article
Overvoltage Challenges in Residential PV Systems in Poland: Annual Loss Assessment and Mitigation Strategies
by Krystian Janusz Cieslak and Sylwester Adamek
Energies 2025, 18(23), 6247; https://doi.org/10.3390/en18236247 - 28 Nov 2025
Viewed by 501
Abstract
In recent years, the rapid increase in installed photovoltaic (PV) capacity in Poland has created significant challenges for low-voltage distribution networks. Excess generation during peak solar hours frequently leads to local overvoltage conditions that exceed regulatory limits, causing PV inverters to disconnect from [...] Read more.
In recent years, the rapid increase in installed photovoltaic (PV) capacity in Poland has created significant challenges for low-voltage distribution networks. Excess generation during peak solar hours frequently leads to local overvoltage conditions that exceed regulatory limits, causing PV inverters to disconnect from the grid. This phenomenon reduces the efficiency of distributed renewable energy integration and results in direct financial losses for prosumers. The present study quantifies these losses on an annual basis for a single-family household located in southeastern Poland, where overvoltage incidents occurred 614 times over 78 days in 2024. Real operational data from the residential PV installation were analyzed and complemented with detailed PVsyst simulations to determine the amount of energy curtailed due to inverter disconnections. The analysis revealed that daily energy losses can reach up to 22% of potential production, depending on the duration and frequency of overvoltage events. Furthermore, several technical and organizational measures are proposed to mitigate the issue, including grid reinforcement strategies and demand-side management. The findings highlight the necessity of addressing overvoltage in low-voltage distribution networks to ensure system reliability, enhance renewable energy integration, and maintain the economic viability of residential PV investments. Full article
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19 pages, 3253 KB  
Article
Research on the Modelling and Analysis of the Penetration of Renewable Sources and Storage into Electrical Networks
by Eva Simonič, Sebastijan Seme and Klemen Sredenšek
Energies 2025, 18(9), 2263; https://doi.org/10.3390/en18092263 - 29 Apr 2025
Cited by 2 | Viewed by 882
Abstract
To address the growing integration of renewable energy sources and storage systems into distribution networks, there is a need for effective tools that can assess the impact of these technologies on grid performance. This paper investigates the impact of integrating residential rooftop photovoltaic [...] Read more.
To address the growing integration of renewable energy sources and storage systems into distribution networks, there is a need for effective tools that can assess the impact of these technologies on grid performance. This paper investigates the impact of integrating residential rooftop photovoltaic (PV) systems and battery energy storage systems (BESSs) into low-voltage (LV) distribution networks. A stochastic approach, using the Monte Carlo method, is applied to randomly place PV systems across the network, generating multiple scenarios for power flow simulations in MATLAB Simulink R2024b. The method incorporates real-world consumer load data and grid topology, representing a novel approach in simulating distribution network behaviour accurately. The novelty of this paper lies in its ability to combine stochastic PV placement with real-world load data, providing a more realistic representation of network conditions. The simulation results revealed that widespread PV deployment can lead to overvoltage issues, but the integration of BESSs alongside PV systems mitigates these problems significantly. The findings of this paper offer valuable insights for Distribution Network Operators, aiding in the development of strategies for optimal PV and BESS integration to enhance grid performance. Full article
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22 pages, 12382 KB  
Article
Assessing Combined High Photovoltaic and Electric Vehicle Charging Penetration in Low-Voltage Distribution Networks: A Case Study in Malta
by Brian Azzopardi and Yesbol Gabdullin
Energies 2024, 17(1), 263; https://doi.org/10.3390/en17010263 - 4 Jan 2024
Cited by 3 | Viewed by 1985
Abstract
High Photovoltaic (PV) and Electric Vehicle (EV) Charging Penetration challenges the grid’s Low-Voltage (LV) Distribution Network’s stability due to voltage variations and the overloading of feeders. This research paper investigates the potential of combined PV and Electric Vehicle (EV) charging integration within LV [...] Read more.
High Photovoltaic (PV) and Electric Vehicle (EV) Charging Penetration challenges the grid’s Low-Voltage (LV) Distribution Network’s stability due to voltage variations and the overloading of feeders. This research paper investigates the potential of combined PV and Electric Vehicle (EV) charging integration within LV DN, using a representative DN in Malta as a case study. The European Union (EU) has set forth objectives and guidelines that suggest a high likelihood of Distributed Networks (DNs) incorporating a significant number of Photovoltaic Systems (PVs), resulting in overvoltage occurrences, as well as a substantial number of Electric Vehicles (EVs), which may charge in an erratic manner, leading to undervoltage and overloading events. A distribution network (DN) may experience unfavorable situations concurrently due to the simultaneous occurrence of photovoltaic (PV) generation and electric vehicle (EV) charging, particularly in residential case studies. Effectively employing either dispersed or centralized storage is a viable approach to tackle these issues. However, this strategy may defer the requirement for expensive DN investments. The study showcases the extent of automated mitigation attained in the urban zones of Malta. The data presented primarily comprises empirical measurements obtained at the onset of the LV feeder. Full article
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17 pages, 536 KB  
Article
Incentive Price-Based Demand Response in Active Distribution Grids
by Karthikeyan Nainar, Jayakrishnan Radhakrishna Pillai and Birgitte Bak-Jensen
Appl. Sci. 2021, 11(1), 180; https://doi.org/10.3390/app11010180 - 27 Dec 2020
Cited by 14 | Viewed by 3221
Abstract
Integration of PV power generation systems at distribution grids, especially at low-voltage (LV) grids, brings in operational challenges for distribution system operators (DSOs). These challenges include grid over-voltages and overloading of cables during peak PV power production. Battery energy storage systems (BESS) are [...] Read more.
Integration of PV power generation systems at distribution grids, especially at low-voltage (LV) grids, brings in operational challenges for distribution system operators (DSOs). These challenges include grid over-voltages and overloading of cables during peak PV power production. Battery energy storage systems (BESS) are being installed alongside PV systems by customers for smart home energy management. This paper investigates the utilization of those BESS by DSOs for maintaining the grid voltages within limits. In this context, an incentive price based demand response (IDR) method is proposed for indirect control of charging/discharging power of the BESS according to the grid voltage conditions. It is shown that the proposed IDR method, which relies on a distributed computing application, is able to maintain the grid voltages within limits. The advantage of the proposed distributed implementation is that the DSOs can compute and communicate the incentive prices thereby encouraging customers to actively participate in the demand response program. An iterative distributed algorithm is used to compute the incentive prices of individual BESS to minimize the costs of net power consumption of the customer. The proposed IDR method is tested by conducting simulation studies on the model of a Danish LV grid for few study cases. The simulation results show that by using the proposed method for the control of BESS, node voltages are maintained within limits as well as the costs of net power consumption of BESS owners are minimized. Full article
(This article belongs to the Special Issue Future Distribution Network Solutions)
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20 pages, 1249 KB  
Article
A Coordinated Voltage Control for Overvoltage Mitigation in LV Distribution Grids
by Edoardo De Din, Marco Pau, Ferdinanda Ponci and Antonello Monti
Energies 2020, 13(8), 2007; https://doi.org/10.3390/en13082007 - 17 Apr 2020
Cited by 19 | Viewed by 4120
Abstract
The design of intelligent strategies for grid management is a cost-effective solution to increase the hosting capacity of distribution grids without investing in the reinforcement of the grid assets. This paper presents a distributed voltage control algorithm to coordinate Energy Storage Systems (ESSs) [...] Read more.
The design of intelligent strategies for grid management is a cost-effective solution to increase the hosting capacity of distribution grids without investing in the reinforcement of the grid assets. This paper presents a distributed voltage control algorithm to coordinate Energy Storage Systems (ESSs) and Distributed Generation (DG) in a scenario of high renewable penetration. The proposed control algorithm relies on a dual decomposition approach and aims at mitigating possible voltage rise events occurring in the Low Voltage (LV) grid by solving an optimization problem of power minimization. Instead of using local control strategies, in the proposed solution, the voltage control burden is distributed among all the available resources in the grid, which cooperate to resolve the existing voltage violations. The performance of the developed voltage control has been tested under realistic distribution grid scenarios, using stochastic load profiles together with photovoltaic generation profiles obtained in the presence of both clear sky and cloudy sky conditions. The algorithm is also compared to a strategy that considers only DG management, highlighting the benefits associated to the proposed coordination of DG and Energy Storage Systems (ESSs). Full article
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24 pages, 7287 KB  
Article
Analysis of Ferroresonance Phenomenon in 22 kV Distribution System with a Photovoltaic Source by PSCAD/EMTDC
by Nattapan Thanomsat, Boonyang Plangklang and Hideaki Ohgaki
Energies 2018, 11(7), 1742; https://doi.org/10.3390/en11071742 - 3 Jul 2018
Cited by 15 | Viewed by 8738
Abstract
Overvoltage and overcurrent in the middle voltage (MV) 22 kV and low voltage (LV) 0.4 kV distribution network with photovoltaic (PV) rooftop system of the Provincial Electricity Authority of Thailand (PEA) have been investigated in order to show that these unwanted situations are [...] Read more.
Overvoltage and overcurrent in the middle voltage (MV) 22 kV and low voltage (LV) 0.4 kV distribution network with photovoltaic (PV) rooftop system of the Provincial Electricity Authority of Thailand (PEA) have been investigated in order to show that these unwanted situations are caused by the ferroresonance phenomenon. This information would be useful to improve a better solution for the system protection when PV rooftops are integrated into the PEA distribution system. The software tool, PSCAD/EMTDC is used to study the overvoltage at the high side of open-delta and open-wye distribution transformer- and overcurrent at the low side of distribution transformer linked to the grid system via three single-phase fuse cutouts. The ferroresonance phenomenon can be observed when the PV rooftop system is linked to the low voltage side of the distribution transformer via three single-phase fuse cutouts. The results show a good similarity with the results from the simulation of the MV side and LV side of distribution transformers. Finally, the physical phenomena described to the overvoltage, overcurrent, and the destruction of the distribution transformer and other apparatus in load customers will occur when the system consists of the PV rooftop source, capacitance in long transmission line, nonlinear distribution transformer with saturation characteristic and the usage of single-phase switching cutouts in the system. Full article
(This article belongs to the Special Issue Toward Sustainable Energy Systems for Smart Grids and Smart Societies)
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