Identification Mthod of Ajustable Rsource Load Model for Large-scale Virtual Power Plant Considering Multi-dimensional Characteristics

At present, the scale of virtual power plants (VPPs) is expanding, and the number of adjustable resource accesses represented by distributed power sources, electric vehicles, and adjustable loads is growing rapidly. There are many types of adjustable resources and complex behavioral characteristics, resulting in insufficient awareness of adjustable resources and insufficient response accuracy. In this paper, an identification method of adjustable resource load model of large-scale virtual power plant considering multi-dimensional characteristics is proposed. Combined with the hierarchical aggregation characteristics of adjustable load participating in network-load interaction, a hierarchical structure of online identification of load aggregation characteristics is established based on each load cluster. The energy consumption behavior of users in the station area, equipment-level characteristics and power grid operation status are comprehensively modeled and analyzed. Finally, through data analysis, it is verified that the method in this paper can be effective in identifying the load models.