分布式能源2026，Vol.11Issue(1)：73-82,10.DOI:10.16513/j.2096-2185.DE.25100064
孤岛微电网随机优化调度方法
Stochastic Optimization Scheduling Method for Islanded Microgrids
摘要
Abstract
The increasing penetration of renewable energy and growing electricity demand in islanded microgrids have intensified the uncertainties on both the generation and load sides,posing severe challenges to their secure,stable,and economic operation.Traditional robust optimization methods,which over-emphasize extreme system conditions,often compromise operational economy.This paper employs fuzzy theory to generate stochastic optimization scenarios for the system.Based on the probability of scenario occurrence and the minimum hybrid energy storage system capacity required for each scenario,a scenario reduction process is conducted.A stochastic optimization-based dispatch method for islanded microgrids is proposed.The method involves establishing uncertainty models for renewable energy and load to generate stochastic scenarios,formulating a mathematical model,performing demand response dispatch under each scenario,and finally filtering out extreme scenarios.Based on the proposed method,experimental verification is carried out in an island microgrid case.The proposed method reduces the system operating cost by 20.17%compared to the traditional robust optimization approach.The results verify the effectiveness and superiority of the proposed method.关键词
混合储能系统/孤岛微电网/随机优化/需求响应/调度策略Key words
hybrid energy storage system/islanded microgrid/stochastic optimization/demand response/scheduling strategy分类
能源科技引用本文复制引用
尹杰,庞爱平..孤岛微电网随机优化调度方法[J].分布式能源,2026,11(1):73-82,10.基金项目
This work is supported by Guizhou Provincial Basic Research Program(Natural Science)(Qiankehe Foundation MS[2025]685) 贵州省基础研究项目(自然科学)(黔科合基础MS[2025]685) （Natural Science）
