An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network
- سال انتشار: 1399
- محل انتشار: مجله مهندسی برق مجلسی، دوره: 14، شماره: 2
- کد COI اختصاصی: JR_MJEE-14-2_003
- زبان مقاله: انگلیسی
- تعداد مشاهده: 274
نویسندگان
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Mohammad Bagher Naghibi Sistani
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
چکیده
Penetration of distributed generation resources including wind power and solar photovoltaic units in distribution system has been increased, and it is important to examine their impact on the distribution systems’ operation in term of reliability. In this paper, the multi-objective dynamic feeder reconfiguration is introduced as an efficient approach for providing an energy management schedule in the distribution grid considering energy loss and energy not supplied as the objective functions in the presence of renewable energy sources and capacitor units. In addition, the effect of uncertainty related to power demand is considered in the evaluations. To this end, an enhanced particle swarm optimization algorithm is provided in this paper, the proposed approach is applied to the ۳۳-node testing system.کلیدواژه ها
Dynamic Distribution Feeder Reconfiguration (DDFR), distributed generators (DGs), Enhanced Particle Swarm Optimization Algorithm (EPSO), Multi-Objective Optimizationاطلاعات بیشتر در مورد COI
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