Title of article
An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network
Author/Authors
Lotfi ، Hossein Department of Electrical Engineering - Islamic Azad University, Neyshabur Branch , Safaei Nikooei ، Amir Department of Electrical Engineering - Islamic Azad University, Neyshabur Branch , Shojaei ، Ali Asghar Department of Electrical Engineering - Islamic Azad University, Neyshabur Branch , Ghazi ، Reza Department of Electrical Engineering - Ferdowsi University of Mashhad , Naghibi Sistani ، Mohammad Bagher Department of Electrical Engineering - Ferdowsi University of Mashhad
From page
17
To page
23
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 33-node testing system.
Keywords
Dynamic Distribution Feeder Reconfiguration (DDFR) , Distributed Generators (DGs) , Enhanced Particle Swarm Optimization Algorithm (EPSO) , Multi , Objective Optimization
Journal title
Majlesi Journal of Electrical Engineering
Journal title
Majlesi Journal of Electrical Engineering
Record number
2510829
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