OICC Press Majlesi Journal of Electrical Engineering 2345-3796 14 2 2024 02 15 An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network EN 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 Journal Article 2024 02 15 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 33-node testing system.