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基于改进鲸鱼算法的混合储能系统容量优化配置

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针对微电网中使用可再生能源的高随机性和间歇性等特征,提出了一种混合储能系统容量优化配置方法.该方法以混合储能系统成本最低、平抑可再生能源功率波动效果最优与电网联络线利用率最高为目标,通过建立混合储能容量优化配置模型并采用改进鲸鱼优化算法对所建立的模型进行求解得到最优混合储能系统容量优化配置.最终对比传统鲸鱼优化算法和传统粒子群算法来验证改进鲸鱼算法可以更合理地配置混合储能系统的容量,使可再生能源功率波动的平抑效果提高,同时也使微网联络线利用率变高,保证微电网可靠、经济地运行,进而实现资源的合理利用.
Capacity Optimization Configuration of Hybrid Energy Storage System Based on Improved Whale Algorithm
Aiming at the characteristics of randomness and intermittency of renewable energy in microgrids,an optimal allocation method of hybrid energy storage system capacity was proposed.This method aims to establish an optimal configuration model for hybrid energy storage capacity with the lowest cost,the best effect of suppressing renewable energy power fluctuations and the highest utilization rate of the power grid tie line,and on the basis of this model,the optimal capacity optimization configuration was obtained by using the improved whale optimization algorithm.Finally,by comparing the traditional whale optimization algorithm with the particle swarm algorithm,the improved whale algorithm can allocate the capacity of the hybrid energy storage system more reasonably,improve the suppression effect of renewable energy power fluctuations,increase the utilization rate of power grid tie lines,and realize the rational utilization of resources.

microgridhybrid energy storage systemcapacity-optimized configurationimproved whale optimization algorithm

吴成明、扬臻辉

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三峡大学 电气与新能源学院,湖北宜昌 443002

微电网 混合储能系统 容量优化配置 改进鲸鱼优化算法

2024

电工材料
桂林电器科学研究院

电工材料

影响因子:0.378
ISSN:1671-8887
年,卷(期):2024.(1)
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