Research On Microgrid Energy Optimization Based On Hierarchical Coordination Control Strategy

With the rapid development of microgrid technology, the academic study on the coordinated energy management strategy of microgrid taking various aspects into account to achieve the microgrid system operation in a more economical, reliable, autonomic, open and flexible way is attracting wide attention from academia and industry. Against this backdrop, this paper make a tentative study to address the issue on microgrid energy optimization with the hierarchical coordination control strategy and the main work is listed as follows:(1)A hierarchical coordination control structure based on the different control objectives and control time scale demands of microgrid system is designed and the multi-agent system(MAS) technology is used to achieve the proposed hierarchical structure. The different microgrid operation strategies in grid-connected and island mode is present in the proposed hierarchical structure. In grid-connected mode, the microgrid is expected to assist the utility to achieve peak load shifting, while in the islanding mode, the load bidding mechanism (LBM) is introduced to ensure the reliable power supply for essential loads.(2)Control models of different layers in the two modes are built based on the respective control objectives and strategies. The optimization objective and operation constrains of the secondary and trinary control are analyzed. Then, the optimal power distribution scheme of different layers is deduced by means of particle swarm optimization (PSO) algorithm to achieve the optimal coordinated energy management of the microgrid.(3)The simulation platform is established based on the built MAS framework and optimized models. Client Agent in the local layer is established according to the mathematical models and control methods of different DERs while Sever Agent is established based on the function of central control layer and system control layer. Simulation experiment is carried out based on the proposed control strategy and scheduling model, and the results verify the effectiveness and feasibility of proposed coordinated hierarchical energy management strategy for multi-energy microgrid.