Title : ( An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network )
Authors: Hossein Lotfi , Amir Safaei , Ali Asghar Shojaei , Reza Ghazi , Mohammad Bagher Naghibi Sistani ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
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
@article{paperid:1081356,
author = {Hossein Lotfi and Amir Safaei and Ali Asghar Shojaei and Ghazi, Reza and Naghibi Sistani, Mohammad Bagher},
title = {An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network},
journal = {Majlesi Journal of Electrcial Engineering},
year = {2020},
volume = {14},
number = {2},
month = {June},
issn = {2345-377X},
pages = {16--23},
numpages = {7},
keywords = {Dynamic Distribution Feeder Reconfiguration (DDFR); Distributed Generators (DGs); Enhanced
Particle Swarm Optimization Algorithm (EPSO); Multi-Objective Optimization},
}
%0 Journal Article
%T An Enhanced Evolutionary Algorithm for Providing Energy Management Schedule in the Smart Distribution Network
%A Hossein Lotfi
%A Amir Safaei
%A Ali Asghar Shojaei
%A Ghazi, Reza
%A Naghibi Sistani, Mohammad Bagher
%J Majlesi Journal of Electrcial Engineering
%@ 2345-377X
%D 2020
