Multi-time scale multi-virtual power plant two-layer coordination mechanism and operation

Abstract

Through advanced control strategies, virtual power plant (VPP) can effectively integrate distributed energy resources (DERs), break the geographical restrictions and provide possibility to improve the comprehensive energy efficiency of distributed energy. This paper considers the compatibility of virtual power plant and multi-agent structure, and establishes a virtual power plant control architecture based on multi-agent system. In view of the dual characteristics of load and power supply of virtual power plants, this paper gives its payment function as a power seller and power buyer, proposes a two-layer coordination mechaniser market, and establishes a double-layer optimization modelm when multi-virtual power plants participate in the pow for multi-virtual power plants. In order to reduce the influence of forecast uncertainty, a multi-time scale optimization model based on opportunity constraint planning is established. By the bi-level coordination mechanism of multiple VPPs and the multi-scale rolling scheduling, it can achieve economic optimization and maximize energy usage.