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• W3134298032 abstract "In recent years, severe outages caused by natural disasters such as hurricanes have highlighted the importance of boosting the resilience level of distribution systems. However, due to the uncertain characteristics of natural disasters and loads, there exists a research gap in the selection of optimal planning strategies coupled with provisional microgrid (MG) formation. For this purpose, this study proposes a novel three-stage stochastic planning model considering the planning step and emergency response step. In the first stage, the decisions on line hardening and Distributed Generation (DG) placement are made with the aim of maximising the distribution system resilience. Then, in the second stage, the line outage uncertainty is imposed via the given scenarios to form the provisional MGs based on a master-slave control technique. In addition, the non-anticipativity constraints are presented to guarantee that the MG formation decision is based on the line damage uncertainty. Last, with the realisation of the load demand, the cost of load shedding in each provisional MG is minimised based on a demand-side management program. The proposed method can consider the step-by-step uncertainty realisation that is near to the reality in MG formation strategy. Two standard distribution systems are utilised to validate the correctness and effectiveness of the presented model." @default.
• W3134298032 created "2021-03-15" @default.
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• W3134298032 date "2021-02-26" @default.
• W3134298032 modified "2023-10-11" @default.
• W3134298032 title "A three‐stage stochastic planning model for enhancing the resilience of distribution systems with microgrid formation strategy" @default.
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• W3134298032 doi "https://doi.org/10.1049/gtd2.12144" @default.
• W3134298032 hasPublicationYear "2021" @default.
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