节能2025，Vol.44Issue(11)：28-33,6.DOI:10.3969/j.issn.1004-7948.2025.11.007
基于多时间尺度虚拟电厂鲁棒优化调节决策方法
Robust optimization regulation decision-making method for virtual power plants based on multiple time scales
摘要
Abstract
A multiple time scales robust optimization scheduling method is proposed,and the coordinated scheduling of day-ahead,intraday and real-time is achieved through a hierarchical optimization framework.The wind and solar output scenes are generated by Latin hypercube sampling,and the improved K-means algorithm is used for scene reduction to effectively handle uncertainties.During the modeling process,the robust optimization problem is transformed into a deterministic model for solution,and the energy storage system is introduced to participate in peak-valley regulation.The results show that this method improves the economy and reliability of the system and enhances the system's ability to cope with power fluctuations through a multi-time-scale coordination mechanism.关键词
虚拟电厂/多时间尺度/鲁棒优化/调度策略/分层优化/协调机制Key words
virtual power plant/multiple time scales/robust optimization/scheduling strategy/hierarchical optimization/coordination mechanism分类
信息技术与安全科学引用本文复制引用
ZHAN Jun,HUANG Mei,SUN Xiaojia,CHEN Zuowei,LI Yang..基于多时间尺度虚拟电厂鲁棒优化调节决策方法[J].节能,2025,44(11):28-33,6.基金项目
深圳供电局有限公司科技项目(项目编号:090000KC22120002) （项目编号:090000KC22120002）
