浙江电力2025，Vol.44Issue(4)：112-121,10.DOI:10.19585/j.zjdl.202504012
考虑多典型场景的源侧共享储能容量配置模型
A capacity allocation model for source-side shared energy storage considering mul-tiple typical scenarios
摘要
Abstract
Traditional energy storage models for renewable energy stations incur high costs,while shared energy storage can reduce construction and operational expenses and enhance economic benefits.Based on this,a robust optimization model for shared energy storage considering renewable energy output uncertainty and multiple typical scenarios is established.First,with the objective of minimizing operational costs,a capacity allocation model for shared energy storage incorporating operational control is developed.A scenario summation mechanism is intro-duced into the nested column-and-constraint generation(Nested C&CG)method to solve the optimization model and obtain the maximum alliance benefits.Then,the alliance benefits under various station combinations are calculated.Based on the Shapley value,the allocation benefits for each station are determined according to their contribution to the total alliance benefits,ensuring fair distribution of profits.Finally,a simulation analysis is conducted using a re-newable energy station cluster in Xinjiang,China,as an example,to derive the shared energy storage configuration and operational plan.The impact of renewable energy output uncertainty on the configuration results is also ana-lyzed.Experimental results demonstrate that the proposed shared energy storage model can effectively increase the benefits of renewable energy station clusters and has high practical application value.关键词
新能源场站/共享储能/鲁棒优化/Shapley值法Key words
renewable energy station/shared energy storage/robust optimization/Shapley value引用本文复制引用
闫丽梅,胡嘉楠,赵书琪..考虑多典型场景的源侧共享储能容量配置模型[J].浙江电力,2025,44(4):112-121,10.基金项目
黑龙江省自然科学基金项目(LH2019E016) （LH2019E016）
