Open Access Article

Title: Design of performance evaluation system for electrochemical energy storage power plants based on NSGA-II

Authors: Jiasheng Wu; Chao Dong; Bangjin Liu; Zheng Weng; Junyu Zhu

Addresses: CGS Power Generation (Guangdong) Energy Storage Technology Co., Ltd., Guangzhou, 510630, China ' CGS Power Generation (Guangdong) Energy Storage Technology Co., Ltd., Guangzhou, 510630, China ' CGS Power Generation (Guangdong) Energy Storage Technology Co., Ltd., Guangzhou, 510630, China ' CGS Power Generation (Guangdong) Energy Storage Technology Co., Ltd., Guangzhou, 510630, China ' CGS Power Generation (Guangdong) Energy Storage Technology Co., Ltd., Guangzhou, 510630, China

Abstract: Energy storage power stations can ensure the stability of wind and photovoltaic distribution networks, but the evaluation algorithms for measuring their reliability and economy are not comprehensive. The study proposes a performance evaluation system for electrochemical energy storage power plants based on an improved non-dominated sorting genetic algorithm. The experiment showed that compared with multi-objective particle algorithm and second-generation strength Pareto evolutionary algorithm, the research method had a better global optimisation level. The algorithm has been improved to increase its running and convergence speed by 3-5 times. An evaluation of the economic and reliability of the distribution network for a specific energy storage power station has been conducted. The annual return rates considering economy, reliability, and comprehensive coordinated investment were 13.05%, 9.05%, and 10.35%, respectively. This algorithm shows good reference value in terms of economic cost and technical reliability.

Keywords: NSGA-II; multi objective; performance evaluation; economy; reliability.

DOI: 10.1504/IJPEC.2025.147502

International Journal of Power and Energy Conversion, 2025 Vol.16 No.5, pp.1 - 20

Received: 15 Nov 2023
Accepted: 15 Mar 2024
Published online: 18 Jul 2025 *

 

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