An Optimized Framework for Energy Management of Multi-Microgrid Systems

Regarding different challenges, such as integration of green energy and autonomy microgrid (MG) in the multi-microgrid (MMG) system, this paper presents an optimized coordinated strategy for management MMG systems that consider multiple scenarios MGs. The proposed operates at two optimization levels: local global. At MG level, each system satisfies its demand by utilizing all available resources via optimization, only sends surplus/deficit data signals to which enhances customer privacy. Thereafter, a central performs global selects options from resources, include charging/discharging to/from community battery storage selling/buying power other MGs, trading with grid. Two types loads are considered model: sensitive non-sensitive. algorithm tries make reliable avoiding utmost load curtailment prefers shed non-sensitive over case shedding. To verify robustness scheme, several test cases generated Monte Carlo Simulations simulated on IEEE 33-bus distribution system. results show effectiveness model.