Logo image
Decentralized control strategy to improve fairness in active power curtailment of PV inverters in Low-Voltage distribution networks
Journal article   Peer reviewed

Decentralized control strategy to improve fairness in active power curtailment of PV inverters in Low-Voltage distribution networks

Y. Zabihinia Gerdroodbari, R. Razzaghi and F. Shahnia
IEEE Transactions on Sustainable Energy, Vol.12(4), pp.2282-2292
2021
url
Link to Published Version *Subscription may be requiredView

Abstract

PV systems decentralized control active distribution network volt-var-watt control voltage regulation
The conventional volt-watt control method used in PV inverters to overcome the overvoltage problems can result in significant unfairness in the curtailed active power in PV-rich distribution networks. In this paper, a novel decentralized control strategy is presented to improve the fairness in the curtailed active power of inverters. In this strategy, first, each PV inverter calculates the ratio of its node voltage magnitude change to its injected active power. Then, the calculated value by the farthest PV inverter of each phase from the transformer is shared with other PV inverters connected to the same phase. Using this value, PV inverters adjust their control parameters of an enhanced volt-var-watt control method. The performance of this method is evaluated using various simulation studies by making reference to the IEEE European low-voltage (LV) test feeder and considering different levels of PV system integration. It is shown that the proposed control strategy is able to improve the fairness of the active power curtailment among PV inverters significantly alongside solving the overvoltage problem. Finally, the result of a comparative analysis between the proposed strategy and a state-of-the-art communication-based method is reported

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy

Source: InCites

Metrics

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
4 Electrical Engineering, Electronics & Computer Science
4.18 Power Systems & Electric Vehicles
4.18.204 Smart Grid Optimization
Web Of Science research areas
Energy & Fuels
Engineering, Electrical & Electronic
Green & Sustainable Science & Technology
ESI research areas
Engineering
Logo image