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Research on Multi-Objective Reactive Power Optimization of Distribution Grid with Photovoltaics

Authors :
Lie Xia
Xiaojin Lin
Rongrong Zhou
Kanjian Zhang
Source :
World Electric Vehicle Journal, Vol 16, Iss 2, p 70 (2025)
Publication Year :
2025
Publisher :
MDPI AG, 2025.

Abstract

With the introduction of large distributed photovoltaic (PV) power and electric vehicles, the inherent volatility of their output makes it difficult for traditional power grid structures and reactive power optimization methods to meet the needs of the safe operation of distribution grids and economic benefits. Therefore, a multi-objective reactive power optimization method for a distributed grid is proposed under a distributed PV power generation scenario. Aiming at the two objectives of the network loss and voltage fluctuation rate, the improved multi-objective particle swarm optimization algorithm is used to solve the model under the condition that the output of each device does not exceed the constraint and the optimal solution that can reduce the distribution grid loss and improve the voltage stability of the distribution grid is obtained. The simulation was conducted on the IEEE 33-node and 113-node distribution networks to verify the proposed method’s feasibility.

Details

Language :
English
ISSN :
20326653
Volume :
16
Issue :
2
Database :
Directory of Open Access Journals
Journal :
World Electric Vehicle Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.fca431ebb2d2401f9b6f76d5378fb432
Document Type :
article
Full Text :
https://doi.org/10.3390/wevj16020070