A Rule-Based Bionic Energy Management System for Grid-Connected Community Microgrid Using Peer-to-Peer Trading With Rapid Settlement

This article applies the bionics theory to the design of energy management system (EMS) for the grid-connected community microgrid. Drawing lessons from the humoral regulation mechanism, a rule-based bionic EMS is proposed for the grid-connected community microgrid, with the aim of keeping the supply-demand level of the system approaching self-sufficiency in real time, so as to reduce the dependence of the community microgrid on the utility grid and improve the local utilization of distributed generations in the community microgrid. To realize the bionic EMS, a novel peer-to-peer trading model with rapid settlement is proposed. Fuzzy control is used to cope with the complex real-time control issue, and the basic principles of the adopted fuzzy controller are to maintain the supply-demand ratio close to 1 and extend battery life. Simulation results demonstrate that the bionic EMS has the ability to keep the real-time supply-demand level of the grid-connected community microgrid approaching self-sufficiency. Compared with the optimization-based EMS, the bionic EMS has excellent real-time performance and good robustness, and does not rely on prediction data. Experimental results on the testbed are consistent with the simulation results and validate the effectiveness and feasibility of the bionic EMS in the practical applications.