Collaborative Operation Optimization and Benefit Analysis of Multi-Agent in Virtual Power Plant

With the widespread integration of new energy sources into the grid and further deregulation of the electricity market, Virtual power plants effectively integrate multi-agent into the electricity market through advanced communication and management strategies. The paper establishes a multi-agent model within a virtual power plant and proposes a collaborative optimization method for multi-agent. This method aims to optimize the overall performance of the virtual power plant while ensuring the individual profits of each intelligent agent. Additionally, a set of benefit analysis methods are proposed to analyze the profit situation of each intelligent agent. Case studies demonstrate that the proposed method has derived the optimal collaborative operational strategy for multi-agent and has analyzed the profits of each intelligent agent using benefit analysis methods.