电气传动2026，Vol.56Issue(6)：58-66,9.DOI:10.19457/j.1001-2095.dqcd26566
考虑馈线负荷与多类型资源协同的配电网多目标调峰优化
Multi-objective Peak Load Regulation Optimization of Distribution Network Considering Coordinated Control of Feeder Load and Multi-type Resources
摘要
Abstract
Aiming at the problem of peak-valley difference increase and voltage violation caused by large-scale fluctuation of network power in multi-time sections under high-proportion photovoltaic distribution network,a peak-shaving optimization strategy based on feeder load power control and multi-type resources was proposed.Firstly,the K-means clustering algorithm combined with KL(Kullback-Leibler)divergence was used to generate photovoltaic output scenarios and probability distribution uncertainty sets.On this basis,considering the active response of feeder load and multi-type resources to power and voltage and the demand side management of flexible load,the multi-objective optimization model of peak regulation of distribution network was constructed with the overall operation cost of distribution network,voltage deviation rate and the minimum peak-valley difference of lower network power as indexes.Finally,the improved particle swarm optimization algorithm combined with the technique for order preference by similarity to an ideal solution method(TOPSIS)was used to solve the model.The simulation results verify that the proposed strategy can effectively achieve peak load shifting and improve the system voltage distribution,and significantly improve the economy of the distribution network.关键词
馈线负荷/调峰优化/不确定性/多目标优化/逼近理想解排序法Key words
feeder load/peak shaving optimization/uncertainty/multi-objective optimization/technique for order preference by similarity to ideal solution method(TOPSIS)分类
信息技术与安全科学引用本文复制引用
张恒荣,郑友卓,段力伟,龙志,翁迪..考虑馈线负荷与多类型资源协同的配电网多目标调峰优化[J].电气传动,2026,56(6):58-66,9.基金项目
贵州省科技计划项目(黔科合支撑[2023]一般292) （黔科合支撑[2023]一般292）
