计及分布式光伏耦合不确定性的荷储协同规划OA

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.