虚拟电厂运行成本聚合建模方法综述OA

Under the"dual carbon"strategy,the large-scale grid integration of high proportion of renewable energies has become an inevitable trend in the development of new power systems,posing unprecedented challenges to the system's flexible regulation capability.Virtual power plants(VPPs),by aggregating massive distributed,flexible distributed energy resources,have emerged as a key approach to enhancing the flexibility of power systems.However,the effective utilization of VPPs'regulation capabilities and the full realization of their market value depend on the accurate modeling of the aggregation costs.The core task of the aggregation cost modeling is to construct a mathematical model that maps aggregated power variables to the optimal operating costs of a VPP,which essentially involves the precise derivation or efficient fitting of high-dimensional nonlinear functions—a typical NP-hard problem.Considering this,this paper first elaborates on the connotation of aggregation flexibility and its cost components and then analyzes the key challenges in aggregation cost modeling,including the modeling of heterogeneous resources,the characterization of high-dimensional feasible regions,and uncertainty management.Next,we summarize the fundamental principles and applicable scenarios of current mainstream aggregation cost modeling methods,providing a theoretical basis for method selection in different applications.Furthermore,we explore the application of aggregation cost models in typical scenarios such as transmission-distribution coordinated dispatch and market-oriented operation.Finally,based on current research progress and practical needs,the paper outlines future research directions for aggregation cost modeling,offering insights to promote the development and practical application of VPP technology.