Energy Systems, Volume (11), No (3), Year (2020-8) , Pages (779-809)

Title : ( Multi-objective dynamic distribution feeder reconfiguration along with capacitor allocation using a new hybrid evolutionary algorithm )

Authors: Hossein lotfi , Reza Ghazi , Mohammad Bagher Naghibi Sistani ,

Citation: BibTeX | EndNote

Abstract

Distribution feeder reconfiguration (DFR) and capacitor allocation are used in distribution systems to reduce power losses improve reliability and keep the voltage within acceptable limits. Distribution feeder reconfiguration is an important issue which can improve the network performance by changing the status of switches to satisfy some objective functions. The performance can be further improved by simultaneous application of capacitors. The DFR problem is intrinsically complex and nonlinear; combination with capacitor allocation the problem becomes more complex than before, hence a precise optimization method is required to solve the problem. In this paper a multi-objective framework is presented for DFR along with capacitor allocation problem over multiple time intervals as dynamic DFR considering distributed generation, energy storage systems and photovoltaic units. The common objectives of DFR …

Keywords

, evolutionary algorithm, feeder reconfiguration, capacitor allocation
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@article{paperid:1090965,
author = {Hossein Lotfi and Ghazi, Reza and Naghibi Sistani, Mohammad Bagher},
title = {Multi-objective dynamic distribution feeder reconfiguration along with capacitor allocation using a new hybrid evolutionary algorithm},
journal = {Energy Systems},
year = {2020},
volume = {11},
number = {3},
month = {August},
issn = {1868-3967},
pages = {779--809},
numpages = {30},
keywords = {evolutionary algorithm; feeder reconfiguration; capacitor allocation},
}

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%0 Journal Article
%T Multi-objective dynamic distribution feeder reconfiguration along with capacitor allocation using a new hybrid evolutionary algorithm
%A Hossein Lotfi
%A Ghazi, Reza
%A Naghibi Sistani, Mohammad Bagher
%J Energy Systems
%@ 1868-3967
%D 2020

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