Robust optimization regulation decision-making method for virtual power plants based on multiple time scales
ZHAN Jun
HUANG Mei
SUN Xiaojia
CHEN Zuowei
LI Yang
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.
Keywords：virtual power plantmultiple time scalesrobust optimizationscheduling strategyhierarchical optimizationcoordination mechanism
Publication Date：2025-11-30
Online Publishing Date：2025-12-29(First online date of this platform, not the publication date of the document)
Pages：6( 28-33 )