Operation Optimization for Multi-microgrids Based on Centralized-Decentralized Hybrid Hierarchical Energy Management

Due to the diversity of components, the multi-microgrid systems provide more optimization degrees of freedom for coordinated control of active distribution network among multiple sub-microgrids and various distributed generations within sub-microgrids. In this paper, a hierarchical energy optimization method for distributed system with multimicrogrids is proposed with multi-agents based on centralized decentralized hybrid energy management. In the proposed method, three control levels are included and a quantitative expression of the resilience is proposed and used as one of indexes to evaluate the ability for microgrids to respond the fluctuation of primary energy or loads at normal operation. And optimization models are established for different control levels under different operation modes of multi-microgrids. The Gossip algorithm is adopted to solve the optimization problems for the decentralized control level. The simulation results show that by proposed methods, the scheduling of each level and the exchange power among MGs as well as between the MMG and the distribution network can be optimized.