中国电力2026，Vol.59Issue(2)：47-60,14.DOI:10.11930/j.issn.1004-9649.202501063
计及动态风光不确定性与需求响应的主动配电网有功-无功优化
Active-reactive power optimization of active distribution networks considering dynamic wind-solar renewable uncertainty and demand response
摘要
Abstract
To address the impact of peak loads on voltage security in active distribution networks,an active-reactive power optimization strategy is proposed based on price-guided demand-side response.Firstly,this strategy incorporates multi-scenario stochastic optimization and proposes a dynamic renewable scenario generation method based on nonparametric kernel density estimation and sequential sampling from standardized multivariate normal distributions,yielding a probabilistic set of typical daily wind-solar power profiles.Secondly,considering demand-side response and grid interaction to mitigate grid operational risks,this study proposes an optimization strategy coordinating time-of-use price-guided load shifting and reactive power compensation.The optimization objective is constructed based on multiple scenario probabilities to minimize voltage deviation and economic operation costs in the distribution networks.Finally,to address the complex characteristics of this model,a multi-objective hybrid multi-population collaborative optimization algorithm is proposed,yielding optimal reactive power compensation output and demand-side load scheduling strategy.Verification results show that the proposed strategy can effectively reduce the risk of voltage violations,minimize network losses,and achieve safe and economic operation of the distribution networks.关键词
场景分析/需求侧响应/无功补偿/多目标混合种群协同优化算法/电压越限Key words
scenario analysis/demand-side response/reactive power compensation/multi-objective hybrid multi-population collaborative optimization algorithm/voltage violation引用本文复制引用
季红利,徐雷,杨佳卉,窦春霞..计及动态风光不确定性与需求响应的主动配电网有功-无功优化[J].中国电力,2026,59(2):47-60,14.基金项目
国家自然科学基金资助项目(新型电力系统信息物理协同主动安全控制基础理论与关键技术,62293500,62293504). This work is supported by National Natural Science Foundation of China(Basic Theory and Key Technology of Cyber-Physical Cooperative Active Safety Control of New Power System,No.62293500,62293504). （新型电力系统信息物理协同主动安全控制基础理论与关键技术,62293500,62293504）
