An Energy Management Optimization Strategy for Regional Power Grid Energy Storage System Based on Improved Artificial Bee Colony Algorithm

doi:10.11930/j.issn.1004-9649.202101055

Abstract

Abstract: In order to improve the new energy consumption level and system operation efficiency, it is necessary to optimize the charging and discharging power of energy storage system, so as to stabilize power fluctuation, reduce network loss and improve economic benefits. In this paper, the charging and discharging of energy storage is selected for each period based on the source and load status, and an energy storage management optimization model is established for regional power grid with the objectives of reducing the daily network loss, maximizing the daily arbitrage of energy storage and the daily environmental benefits, which comprehensively considers the constraints of energy storage itself and grid power flow state. In the process of solving the model, an improved artificial bee colony (IABC) algorithm is proposed, and simulation is designed out according to the structure and operation characteristics of the Turpan regional grid. Simulation results show that the energy management optimization of energy storage can improve the overall economic benefits, and the improved artificial bee colony algorithm has good global search ability and convergence.

Key words: energy storage, source and load status, active power loss, energy management, improved artificial bee colony

WANG Ziqi, ZHANG Huiyuan, XU Jun, CHENG Jiehui. An Energy Management Optimization Strategy for Regional Power Grid Energy Storage System Based on Improved Artificial Bee Colony Algorithm[J]. Electric Power, 2022, 55(9): 16-22,55.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202101055

https://www.electricpower.com.cn/EN/Y2022/V55/I9/16

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