Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

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

Zabihinia Gerdroodbari, Y., Razzaghi, R. and Shahnia, F.ORCID: 0000-0002-8434-0525 (2021) Decentralized control strategy to improve fairness in active power curtailment of PV inverters in Low-Voltage distribution networks. IEEE Transactions on Sustainable Energy . Early Access.

Link to Published Version: https://doi.org/10.1109/TSTE.2021.3088873
*Subscription may be required

Abstract

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

Item Type: Journal Article
Murdoch Affiliation(s): School of Engineering and Information Technology
Publisher: IEEE
Copyright: © 2021 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/61831
Item Control Page Item Control Page