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基于布谷鸟算法的微电网混合储能系统优化控制研究

于天一 陆涛 党玮 甄庆 许志成

机电工程技术2025,Vol.54Issue(10):153-156,4.
机电工程技术2025,Vol.54Issue(10):153-156,4.DOI:10.3969/j.issn.1009-9492.2025.10.032

基于布谷鸟算法的微电网混合储能系统优化控制研究

Research on Optimal Control of Microgrid Hybrid Energy Storage System Based on Cuckoo Algorithm

于天一 1陆涛 1党玮 1甄庆 1许志成1

作者信息

  • 1. 国网天津市电力公司滨海供电分公司,天津 300450
  • 折叠

摘要

Abstract

Aiming to address the issue of poor control effectiveness of hybrid energy storage systems in microgrid optimization scheduling,especially the challenge of poor performance of microgrids in suppressing power waves in power generation units and on DC buses after control.To this end,an optimized control strategy for a hybrid energy storage system in microgrids based on the cuckoo algorithm has been proposed.A multi-objective optimization function is established by constructing an optimization control model architecture with a local strategy controller as the core,combined with dual low-pass filters,and aiming to minimize power fluctuations in power generation units and the full lifecycle cost of hybrid energy storage systems.After setting constraint conditions,the model is optimized using the cuckoo algorithm to achieved optimal control of the microgrid hybrid energy storage system.The experimental results show that this method effectively reduces the fluctuation of power waves in the power generation unit and DC bus of the microgrid,significantly improves the optimization control effect of the hybrid energy storage system,and provides strong technical support for the stable operation of the microgrid.

关键词

布谷鸟算法/微电网混合储能系统/优化控制/低通滤波器/约束性条件

Key words

cuckoo algorithm/microgrid hybrid energy storage system/optimal control/low-pass filter/binding conditions

分类

计算机与自动化

引用本文复制引用

于天一,陆涛,党玮,甄庆,许志成..基于布谷鸟算法的微电网混合储能系统优化控制研究[J].机电工程技术,2025,54(10):153-156,4.

机电工程技术

1009-9492

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