Metrics Analysis Framework of Control and Management System for Resilient Connected Community Microgrids

Abstract

This paper proposes a novel metrics analysis of the control and management system for an efficient and resilient post-hurricane integrated recovery framework. To enhance the resiliency of networked-microgrids (MGs), resources such as mobile emergency resources (MERs), electric vehicles (EVs), and energy storage systems (ESSs) associated with the reconfiguration strategy are utilized to decrease blackouts to a minimum time. In the proposed method, the local power-flow path is actively altered by the network reconfiguration. This capability allows restoring critical loads and minimizing the energy not supplied (ENS) to the local consumers. Islanded loads that need truck-mounted MERs are simultaneously determined through optimal scheduling. The role of MERs is to deliver power to the islanded load regarding optimal routes. To produce optimal routes and to avoid out-of-service roads, the well-known Dijkstra's algorithm is used in this study. The proposed method aims to maximize system resiliency through the integrated single-objective optimization problem, associated with evaluating the metrics, to assess the control system performance from a resiliency index perspective. Simulation results on a 69-bus test system indicate satisfactory performance and effectiveness of the proposed method.