ZENG Z H, LIU Y P, WEI Y F, et al.Optimal capacity allocation of hybrid energy storage system based on improved bat algorithm[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(5):130-136.

doi:10.16186/j.cnki.1673-9787.2021110011

Received:2021/11/02

Revised:2022/02/06

Published:2023/09/25

Optimal capacity allocation of hybrid energy storage system based on improved bat algorithm

ZENG Zhihui1,2, LIU Yunpeng1,2, WEI Yanfang1,2, YANG Ming1,2

1.School of Electrical Engineering and Automation，Henan Polytechnic University，Jiaozuo  454000，Henan，China;2.Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment，Henan Polytechnic University，Jiaozuo  454000，Henan，China

Abstract:For the situation of the instability and large power fluctuation of the photovotaic power generation in microgrid，the hybrid energy storage system with supercapacitor and battery was used to smooth out the power fluctuation in the microgrid，and a power allocation method based on low-pass filter decomposition was proposed to combine the photovoltaic power fluctuation rate and energy storage response characteristics.An improved bat algorithm was used to optimize the capacity allocation of hybrid energy storage system.By minimizing the life-cycle cost of hybrid energy storage devices as the goal，and taking the power balance of the system，the charge state of energy storage and the load shortage rate as the constraints，a hybrid energy storage system capacity optimization allocation model was established to achieve the economic optimum of the hybrid energy storage system.The simulation results showed that the improved bat algorithm not only optimized the working state of the battery，reduced the whole life-cycle cost of the energy storage system，but also accelerated the convergence speed.

Key words:improved bat algorithm;hybrid energy storage;optimal capacity allocation;charge and discharge strategy;low-pass filtering

基于改进蝙蝠算法的混合储能系统容量优化配置_曾志辉.pdf