A DMPC-Based Optimal Dispatch Strategy for Multi-Microgrid System Using Accelerated Distributed Augmented Lagrangian Algorithm

Abstract

To extend the servicelife of energy storage in multi-microgrid system, a distributed optimal dispatch strategy for multi-microgrid system is designed in this paper. This strategy links the battery health status to the battery resale value, and the battery resale cost is taken into account in the economic cost. According to the characteristics of this strategy, a distributed model predictive control-based accelerated distributed augmented Lagrangian (DMPC-ADAL) algorithm is proposed to solve the resulting dispatch problem. The proposed algorithm exploits the structural sparsity of the adjacency matrix to accelerate distributed optimization. Through local computation and neighbor information exchange, it reduces the dependence on global communication while coordinating the microgrids to minimize the overall operating cost. The convergence property of the proposed algorithm is theoretically analyzed. Finally, the effectiveness and feasibility of this strategy for optimizing the operation of multi-microgrid systems are verified through simulation.