A dynamic spinning reserve energy management system to improve microgrid resilience

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University of New Brunswick


This thesis focuses on enhancing microgrids' resiliency and operational planning during incidents leading to islanding operations. The importance of grid resilience and the need to enhance microgrid capability during islanded operations as a probabilistic phenomenon are highlighted. The development of a dynamic spinning reserve, as well as addressing the imbalances between generation and consumption, is considered. This work contributes by proposing a multi-objective optimization problem for maintaining a balance between resilient operation (socio-technical optimization) and economic operation (techno-economic optimization) by considering uncertainties. The research emphasizes the importance of considering low probability events with high impact on the grid, such as weather conditions, in operational planning to improve resilience and minimize load shedding. Mathematical models, objective functions, and solution methods such as Epsilon-constraint and Fuzzy Satisfaction Method (FSM) are used to accurately model the network, evaluate microgrid actors' behaviour, and solve the multi-objective optimization problem.