Resilience-oriented operation of smart grids by rescheduling of energy resources and electric vehicles management during extreme weather condition. (December 2021)

• Record Type: Journal Article
• Authors: Roudbari, Alireza; Nateghi, Alireza; Yousefi-khanghah, Babak; Asgharpour-Alamdari, Hossein; Zare, Hassan
• Is Part Of: Sustainable energy, grids and networks. Volume 28(2021)
• Publication Date: 2021-12
• Subjects: Electric vehicle -- Resilience -- Reconfiguration -- Multi-objective optimization -- Extreme weather condition; Renewable energy sources -- Periodicals; Smart power grids -- Periodicals; Electric power systems -- Periodicals; 333.794
• DOI: 10.1016/j.segan.2021.100547
• Languages: English
• ISSNs: 2352-4677

Abstract

Abstract: Weather-based outages are one of the main reasons for consumer interruptions. So, optimal operation of distribution networks during extreme weather conditions is a serious challenge for distribution company operators. In this regard, this paper proposes a resilience-oriented operation to enhance the resiliency and economic benefits of the distribution network. In the proposed method, energy resource and EVs management are rescheduled by modelling weather-based outages. Also, demand response programs and dynamic reconfiguration are used for resiliency enhancement, as well. The multi-objective optimization algorithm in the proposed approach is defined to minimize the operational cost of distribution network and energy not supplied (ENS) penalty costs from the system operator's viewpoint, as well as, maximizing benefits of resources and EVs' owners. A two-stage genetic algorithm and ɛ -constraint method are used to select the best provided solution for the Pareto set. The resiliency improvement of the proposed method is evaluated by ΦΛEΠ metrics. The main goal of this paper is based on sharing profits obtained by ENS reduction between distribution network and private sector to increase coordination of both players during extreme weather conditions. Different uncertainties such as branches outage caused by extreme weather, initial charge, and movement of EVs are considered. Results proved that the proposed method increased resiliency and benefits for all players.