浙江电力

2026, v.45;No.363(07) 12-23

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计及负荷灵活转供的220 kV供区储能电站容量优化
Capacity optimization of energy storage power stations in 220 kV power supply areas considering flexible load transfer

王沐凡,钱佳佳,陈柠,沈志恒,唐早,刘佳
WANG Mufan,QIAN Jiajia,CHEN Ning,SHEN Zhiheng,TANG Zao,LIU Jia

摘要(Abstract):

随着220 kV供区源荷双侧不确定性加剧,输电通道功率波动显著,线路过载风险日益突出。在此背景下,提出一种计及负荷灵活转供的储能电站容量优化配置方法。基于变电单元结构对220 kV供区进行合理分区,为负荷灵活转供建模提供分组依据;构建双层分布式鲁棒优化模型,上层以储能投资成本最小为目标优化储能配置容量与功率,下层以220~110 kV输配协同运行成本最小为目标,统筹考虑输配电网潮流与重构等约束;采用综合范数刻画源-荷不确定性,利用C&CG(列与约束生成)算法进行高效求解。仿真结果表明,所提方法在缓解线路过载、提升新能源消纳能力方面效果显著,验证了其有效性与工程适用性。
With increasing uncertainty on both the generation and load sides in 220 kV supply areas, power fluctuations in transmission corridors have become more pronounced, leading to a growing risk of line overloading. To address this issue, a capacity optimization method for energy storage power stations considering flexible load transfer is proposed. First, the 220 kV power supply area is reasonably partitioned based on substation unit structures, providing a partitioning basis for modeling flexible load transfer. Then, a bi-level distributed robust optimization model is established. The upper level minimizes the investment cost of energy storage to determine optimal capacity and power ratings, while the lower level minimizes the coordinated operation cost of the 220~110 kV transmission and distribution system, considering power flow and network reconfiguration constraints. Source~load uncertainty is characterized using a composite norm, and the column-and-constraint generation(C&CG) algorithm is employed for efficient solution. Simulation results demonstrate that the proposed method effectively alleviates line overloading and enhances renewable energy accommodation, thereby verifying its effectiveness and engineering applicability.

关键词(KeyWords): 220 kV供区;负荷灵活转供;储能电站;容量优化
220 kV power supply area;flexible load transfer;energy storage power station;capacity optimization

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(52407090、52207085);; 浙江省自然科学基金(LMS25E070002);; 国网浙江省电力有限公司经济技术研究院专项项目(JY02202548)

作者(Author): 王沐凡,钱佳佳,陈柠,沈志恒,唐早,刘佳
WANG Mufan,QIAN Jiajia,CHEN Ning,SHEN Zhiheng,TANG Zao,LIU Jia

DOI: 10.19585/j.zjdl.202607002

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