A Hierarchical Optimization Model for Multi-Microgrids to Enhance Power System Resilience

This paper presents a hierarchical optimization model based on multi-microgrids to improve the power system resilience in response to increasingly frequent extreme events. When supply of power from the main grid is interrupted, in the first stage, microgrids minimize the load curtailment through efficiently scheduling their available resources. In the second stage, microgrids share power in order to utilize the surplus capacities to support the unserved loads. A consensus algorithm is applied for microgrids information exchange and a novel ratio is designed to determine the allocated value of exported power in a distributed way. The optimization model is formulated as a mix-integer linear programming (MILP) problem. Test results validate the effectiveness of the proposed model.