Distributed Robust Dispatch for Interconnected Microgrids Considering Local Uncertainty based on Inventory Theory

A distributed robust economic dispatch (DRED) for interconnected microgrids (IMG) is proposed to realize high autonomy and robustness of wide-area distributed energy system. Firstly, the framework for the distributed scheduling of IMGs is built based on multi-agent theory. Secondly, in order to solve robust optimization (RO) in a distributed manner, the original problem is decomposed into a hierarchical problem, where feasible test and tie-line power optimization are carried out in upper two layers. Based on the research results, the uncertainties of renewable energy and load are considered in local agents via inventory theory. Finally, taking an actual IMG system as an example, numerical simulation results verify the good astringency and feasibility of the proposed strategy by comparing decentralized and centralized robust schemes. The proposed model outperforms the conventional DRED in computation complexity by exploiting probability to achieve optimal dispatch under a certain confidence level.