An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network
Publish place: majlesi Journal of Electrical Engineering، Vol: 14، Issue: 2
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_MJEE-14-2_003
تاریخ نمایه سازی: 25 بهمن 1401
Abstract:
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.
Keywords:
Dynamic Distribution Feeder Reconfiguration (DDFR) , distributed generators (DGs) , Enhanced Particle Swarm Optimization Algorithm (EPSO) , Multi-Objective Optimization
Authors
Hossein Lotfi
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Amir Nikooei
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Ali Shojaei
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran.
Reza Ghazi
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
Mohammad Bagher Naghibi Sistani
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
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