电力系统自动化2026，Vol.50Issue(16)：43-53,11.DOI:10.7500/AEPS20250625005
计及分布式光伏耦合不确定性的荷储协同规划
Load-Storage Coordinated Planning Considering Uncertainties of Distributed Photovoltaic Coupling
摘要
Abstract
With the large-scale integration of distributed photovoltaics(DPVs),distribution networks face increasing uncertainty and challenges in renewable energy accommodation.Rational planning of load-storage resources is crucial for enhancing system renewable energy accommodation capacity and flexibility.Therefore,a coordinated load-storage planning method considering uncertainty of DPV coupling is proposed.Firstly,the Copula function is employed to characterize the spatio-temporal coupling characteristics of DPV output,and a Copula-Wasserstein distance-based ambiguity set construction method is proposed to describe the coupling uncertainties among multiple DPVs.Then,considering the complementary characteristics between physical energy storage and demand response,a load-storage coordinated distributionally robust optimization planning model considering uncertainties of DPV coupling is formulated,and a solution method combining McCormick relaxation and strong duality theory is proposed.Finally,two actual 10 kV distribution networks in a certain area of China are used for cases.The results demonstrate that the ambiguity set construction method based on Copula-Wasserstein distance can effectively exclude probability distributions that violate coupling characteristics between DPVs,significantly reducing system planning and operation costs.Moreover,the coordinated load-storage planning can effectively solve problems of local DPV accommodation and regional heavy overload.关键词
分布式光伏/配电网/不确定性/Copula-Wasserstein距离/耦合/储能/荷储协同/分布鲁棒优化规划Key words
distributed photovoltaic(DPV)/distribution network/uncertainty/Copula-Wasserstein distance/coupling/energy storage/load-storage coordination/distributionally robust optimization planning引用本文复制引用
沈子康,王韵楚,余顺江,王旭超,杨莉,林振智..计及分布式光伏耦合不确定性的荷储协同规划[J].电力系统自动化,2026,50(16):43-53,11.基金项目
江苏省基础研究计划资助项目(BK20232026). This work is supported by Jiangsu Provincial Basic Research Program of China(No.BK20232026). （BK20232026）
