Coordination and Optimization of Virtual Power Plant Based on Multi-agent System

Abstract

Driven by the goal of carbon peak and carbon neutralization, a large number of distributed resources will be connected to the new power system in the future, and the balance of power supply and demand will be greatly tested. Virtual power plant is a bridge between users and large power grid, which can effectively solve this problem. In this paper, the multi-objective optimization of Virtual Power Plant (VPP) is realized based on Multi-Agent System (MAS). Considering economy, environmental protection and network security, the comprehensive cost is obtained by normalization. Finally, the effectiveness of the model is verified by MATLAB simulation platform.