resiliency oriented operational planning for smart grids under windstorms

Weather based power curtailments have a huge share in total customers outage. hence, reliable-affordable exploitation of networks during the adverse weather condition is one grid operator’s main issue. this article addresses an approach for optimal operational by considering dynamic line outages rate during extreme weather condition. in this paper, resiliency modification is accomplished by probing influences of weather condition on line outages using embedded sources, power storages and feeder topology reconfiguration. this work addresses objectives associated with resiliency issue in order to minimize total operation cost from distribution company’s viewpoint, reduce amount of outages and maximize private sector’s benefits by probing weather changes during operational time interval. in this regard, a multi-objective optimization problem including both economic and resiliency targets is proposed to model the behavior of distribution company and private sector. also, a benefit sharing mechanism is applied to increase synergistic integration between these players. a hybrid genetic- ɛ constraint strategy employing fuzzy decision maker is applied to achieve optimum pareto-front solution based on fair profit sharing. results proves that the proposed method increase profits for all players due to reduction in energy not supplied penalty cost as well as it enhance resiliency during adverse weather conditions.