考虑高比例新能源发电接入的配电网分布式储能优化配置

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摘要高比例新能源并网易引发配电网运行稳定性问题。针对风光储协同运行配电网,本文提出一种基于改进多目标粒子群算法的储能优化配置方法。首先以电压波动、并网功率波动率和储能额定容量为目标函数建立优化模型;其次基于粒子相似度的动态惯性权重增强全局搜索能力,融合循环拥挤度排序与交叉变异策略的档案更新方法维护Pareto前沿,规避局部收敛风险,采用TOPSIS混合决策模型从非劣解集中遴选出最优配置方案;最后通过4个算例在IEEE 33节点配电网进行测试。结果表明,与传统粒子群算法和非支配排序遗传算法Ⅱ（NSGA-Ⅱ）相比,所提方法有效减小了储能配置容量,降低了电压/功率波动。

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	张钰
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关键词 ：配电网, 分布式储能, 优化配置, 多目标粒子群算法

Abstract：High penetration of the distributed renewable energy causes several problems in the grid. For a coordinated operation of wind, solar, and energy storage in a distribution network, an optimal allocation method of energy storage based on an improved multi-objective particle swarm optimization is proposed in this article. Firstly, an optimization model considering voltage fluctuation, grid-connected power fluctuation rate and energy storage rated capacity is constructed. Secondly, an inertia weight dynamic adjustment mechanism based on particle similarity is proposed to enhance the global search ability. The file update method that integrates the cyclic crowding sorting and cross mutation strategy maintains the Pareto frontier and avoids the risk of local convergence. Thus, the technique for order preference by similarity to an ideal solution (TOPSIS) hybrid decision model is used to select the optimal configuration scheme from the non-inferior solution set. Finally, the proposed method is tested on the IEEE 33-bus distribution network through four examples. The simulation results show that compared with the traditional particle swarm optimization and non-dominating sorting genetic algorithm Ⅱ (NSGA-Ⅱ), the proposed method reduces the voltage/power fluctuation and the energy storage configuration capacity, which verifies its effectiveness.

Key words： distribution network distributed energy storage optimal allocation multi-objective particle swarm optimization

收稿日期: 2025-08-04

基金资助:国家自然科学基金（52277169）; 国网安徽省亳州供电公司科技项目（B312T1240001）

作者简介: 张钰（1992—）,女,安徽省亳州市人,硕士,助理工程师,主要从事电网调度方面的研究工作。

引用本文:

张钰, 吴瑞, 童薇, 方炜. 考虑高比例新能源发电接入的配电网分布式储能优化配置[J]. 电气技术, 2025, 26(12): 16-23. ZHANG Yu, WU Rui, TONG Wei, FANG Wei. Optimal allocation of distributed energy storage in distribution networks with high penetration of renewable energy generation. Electrical Engineering, 2025, 26(12): 16-23.

链接本文:

https://dqjs.cesmedia.cn/CN/Y2025/V26/I12/16

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