Economic Dispatch Strategy for Virtual Power Plants Based on Distributed Multi-Agent Algorithms

This paper proposes an economic dispatch strategy for virtual power plants(VPP) based on distributed multi-agent algorithms to optimize resource allocation and maximize the VPP economy, in response to the volatility and uncertainty associated with a significant amount of renewable energy. An economic dispatch model for VPP is established in which the coefficients of the cost function are time-varying to account for the effect of the renewable energy output variation. Then a distributed multi-agent algorithm based on graph theory and the Lagrange multiplier method is developed to facilitate communication among individual units and minimize the total operational cost of the system. The effectiveness of the proposed algorithm is validated through numerical examples, which demonstrate its capability to optimize resource allocation, achieve economic dispatch for the VPP, and exhibit a rapid rate of convergence.