电力需求侧管理2026，Vol.28Issue(3)：36-43,8.DOI:10.3969/j.issn.1009-1831.2026.03.006
源荷不确定性下基于自适应分布鲁棒优化的微电网日前调度
Day-ahead dispatch of microgrids with source-load uncertainty by adaptive distributionally robust optimization
摘要
Abstract
A day-ahead dispatch model for microgrids under source-load uncertainty conditions is established to enhance their economical effectiveness.In view of the source-load uncertainty composed of photovoltaic power and demand,a novel adaptive optimization decision-based distributionally robust optimization is proposed to overcome the conservativeness of traditional robust optimization.Firstly,a conser-vativeness-adjustable ambiguous set of source-load uncertainty is constructed,which can flexibly adjust the conservatism through distribu-tion constraints.Meanwhile,auxiliary uncertainty variables are introduced to transform the ambiguous set into a manageable form.Second-ly,leveraging the duality principle of infinite programming and fixing the dual variables,the distribution uncertainty is reduced to scenario uncertainty.Finally,employing an extreme dual variable generation method,the proposed model is converted into a deterministic program-ming in a two-stage solving framework.Numerical simulations verify the superiority of the proposed model in balancing the economical ef-fectiveness and robustness of microgrid operations.关键词
微电网/日前调度/源荷不确定性/分布鲁棒优化/延迟约束生成Key words
microgrid/day-ahead dispatch/source-load uncertainty/distributionally robust optimization/delayed constraint generation分类
信息技术与安全科学引用本文复制引用
周华皓,刘芳白,吴海富,陈浩,倪亚佳,瞿凯平..源荷不确定性下基于自适应分布鲁棒优化的微电网日前调度[J].电力需求侧管理,2026,28(3):36-43,8.基金项目
国网江苏省电力有限公司科技项目(J2023024) （J2023024）
