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OA

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.