A Distributed Economic Power Dispatch Strategy Considering State of Charge for Microgrids

This paper proposes a distributed economic power dispatch strategy considering state of charge(SoC) for microgrids, aiming at unreasonable and untimely power distribution of different nodes in isolated microgrids. The proposed strategy is fully distributed. Every node estimates the average SoC of all battery energy storage systems(BESSs) in a microgrid and determines the power of the local BESS and microturbine (MT) autonomously to achieve SoC balancing and economic dispatch with component constraints and power balance constraints by peer-to-peer communication with its neighbors. To improve the effectiveness of power distribution, an improved average consensus algorithm(IACA) based on particle swarm optimization (PSO) is proposed to adjust the weight matrix of communication networks, which reduces the number of iterations to estimate the average SoC. Numerical experiments demonstrate that the proposed strategy can achieve SoC balance and have lower costs than traditional distributed economic power sharing strategy.