A distributed dispatch method for microgrid cluster considering demand response

Abstract

On the basis of model predictive control and auxiliary problem principle, this paper proposes a practical distributed framework to solve the economic dispatch of microgrid clusters (MGCs); specifically, each microgrid solves its local model in a parallel way and cooperates with adjacent microgrids in an iterative way. Besides, incentive‐based demand response is incorporated in optimal dispatch problem in order to enhance the flexibility of demand side. The proposed method aims to make a balance between the profit of microgrid system operator and customer's experiences for a typical MGC by setting a proper trade‐off parameter. Specifically, the framework is able to make sub‐microgrids plug in and plug out freely and has fast iterative speed. The simulation results show that a few of the iterations are needed to obtain the optimum by using the proposed framework and, meanwhile, verify the effectiveness of plug‐and‐play functionality.