Impact and assessment of the overvoltage mitigation methods in low‐voltage distribution networks with excessive penetration of PV systems: A review

Abstract

This paper presents an overview of the impact of high penetration of photovoltaic (PV) systems in low-voltage distribution networks (LVDNs). High integration of solar PVs in the LVDNs has severe implications on the system parameters, efficiency, and stability. This paper also introduces the methods that have been driven to overcome these effects to preserve the steady-state conditions in the system during excessive penetration of PV generation units. A comparison between the contributions and shortcomings of the most recent researches for overvoltage mitigation strategies has been driven. Also, it includes comparing different overvoltage mitigation methods to handle the impact of the overvoltage under high penetration of PV units in the LVDNs. Besides, it presents a comparison between overvoltage mitigation methods based on their pros and cons.

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

“…DNs operators are responsible for maintaining consumers' voltage within its acceptable limits. The mitigation strategies of the voltage violation are used to ensure that the network bus voltages are always suppressed at the allowable values [1], [2], [3].…”

Comprehensive Approach to Mitigating Solar Photovoltaic Power Penetration Effects in a Microgrid

“…In addition, more methods, used to overcome instability issues caused by high penetration of photovoltaic (PV) systems in lowvoltage distribution networks (LVDNs), are presented in Ref. [34].…”

“…However, our paper has more extremely cases such as 45, 60%, 100%, and 200% compared to 10% [20] as well as tried to analyze on the impact of distributed PV in terms of various indicators as power losses, FVSI, and voltage stability compared with other 3 cases. (iv) A new coordinated voltage control, combining two control techniques using smart inverters and capacitor banks, is implemented with the integration of different indexes like mentioned above, leading to a new control algorithm approach different from the existing methods in the open literature as described in [22,27,31,34]. (v) e studied MG architecture considers real data from Los Angeles, California, such as the weather conditions and commercial building data.…”