基于分组控制策略的风电场储能容量优化配置

史林军; 端木陈睿; 杨冬梅; 吴峰

doi:10.19912/j.0254-0096.tynxb.2023-0404

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (7) : 340-349. DOI: 10.19912/j.0254-0096.tynxb.2023-0404

基于分组控制策略的风电场储能容量优化配置

史林军¹, 端木陈睿¹, 杨冬梅², 吴峰¹

作者信息 +

OPTIMAL ALLOCATION OF WIND FARM ENERGY STORAGE CAPACITY BASED ON GROUP CONTROL STRATEGY

Shi Linjun¹, Duanmu Chenrui¹, Yang Dongmei², Wu Feng¹

Author information +

文章历史 +

摘要

为解决风电出力的波动性和不确定性问题,提出一种基于电池储能分组控制策略并计及其运行不平衡性的风电场电池储能容量优化配置方法。首先,在比较分析不同电池储能分组策略基础上,提出风储联合系统三电池组分组控制策略及充放电运行模式,并构建计及经济成本、衰减指标和寿命期限的多目标电池储能容量配置优化模型;然后,采用变分模态分解法处理风电数据,并通过非支配排序遗传算法与CRITIC-TOPSIS综合决策法联合求解获取最佳的电池储能容量配置方案;最后,通过与现有分组控制策略对比,验证该文所提出的三电池分组策略在改善电池储能充放电不平衡性以及减缓损耗方面的有效性,并对比不同目标和不同决策方法下的电池储能配置方案,结果表明该文提出的多目标优化模型与综合决策方法在延长电池使用寿命的同时保证经济性方面具有明显优势。

Abstract

In order to solve the fluctuation and uncertainty of wind power output, an optimal allocation method of battery storage capacity for wind farms based on battery storage grouping control strategy and its operational imbalance is proposed. Firstly, based on the comparative analysis of different battery storage grouping strategies, a three-cell grouping control strategy and charging/discharging operation mode of the combined wind storage system are proposed, and a multi-objective battery storage capacity allocation optimization model is constructed taking into account the economic cost, decay index and lifetime. Then, the wind power data are processed by the variational modal decomposition method, and the optimal battery storage capacity allocation scheme is obtained by the joint solution of the non-dominated ranking genetic algorithm and the CRITIC-TOPSIS integrated decision method. Finally, the effectiveness of this three-cell grouping strategy in improving the battery storage charging and discharging imbalance and slowing down the losses is verified by comparing with the existing grouping control strategy, and the battery storage configuration schemes under different objectives and different decision methods are compared, and the results show that this multi-objective optimization model and the integrated decision method have obvious advantages in extending the battery life while ensuring the economy.

导出引用

史林军, 端木陈睿, 杨冬梅, 吴峰. 基于分组控制策略的风电场储能容量优化配置[J]. 太阳能学报. 2024, 45(7): 340-349 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0404

Shi Linjun, Duanmu Chenrui, Yang Dongmei, Wu Feng. OPTIMAL ALLOCATION OF WIND FARM ENERGY STORAGE CAPACITY BASED ON GROUP CONTROL STRATEGY[J]. Acta Energiae Solaris Sinica. 2024, 45(7): 340-349 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0404

中图分类号： TM614

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