Coordinated and optimal voltage control for voltage regulation using firefly algorithm

The operation and control of electricity in distribution networks has faced great challenges as a large number of distributed generations (DGs) are integrated. Connection of distributed generations (DGs) in the distribution system offers advantages in terms of reducing distribution and transmission...

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Main Authors: Kamarudin, M.N., Hashim, T.J.T.
Format: Article
Language:English
Published: 2020
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spelling my.uniten.dspace-132262020-07-03T07:08:12Z Coordinated and optimal voltage control for voltage regulation using firefly algorithm Kamarudin, M.N. Hashim, T.J.T. The operation and control of electricity in distribution networks has faced great challenges as a large number of distributed generations (DGs) are integrated. Connection of distributed generations (DGs) in the distribution system offers advantages in terms of reducing distribution and transmission costs as well as encouraging the use of renewable energy sources. The power flow in the distribution systems is no longer moving in a single direction and this resulted the system to become as active distribution networks (ADN). One of the main problems in ADN is the voltage regulation issue which is to maintain the voltage to be within its permissible limits. Several methods of voltage control methods are available and focus is given in finding the optimal voltage control using artificial intelligence techniques. This paper presents an optimal and coordinated voltage control method while minimizing losses and voltage deviation of the network. The optimal and coordinated voltage control scheme is implemented on an IEEE 13 bus distribution network for loss and voltage deviation minimization in the networks. Firefly Algorithm (FA) which is a known heuristic optimization technique for finding the optimal solution is used in this work. The results are compared with another optimization method known as Backtracking Search Algorithm (BSA) for identifying the best setting for solving the voltage regulation problem. In order to solve the multi-objective optimization issue, the MATPOWER load flow simulation is integrated in the MATLAB environment with the optimization algorithm. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. 2020-02-03T03:31:12Z 2020-02-03T03:31:12Z 2019 Article 10.11591/ijeecs.v16.i2.pp568-576 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description The operation and control of electricity in distribution networks has faced great challenges as a large number of distributed generations (DGs) are integrated. Connection of distributed generations (DGs) in the distribution system offers advantages in terms of reducing distribution and transmission costs as well as encouraging the use of renewable energy sources. The power flow in the distribution systems is no longer moving in a single direction and this resulted the system to become as active distribution networks (ADN). One of the main problems in ADN is the voltage regulation issue which is to maintain the voltage to be within its permissible limits. Several methods of voltage control methods are available and focus is given in finding the optimal voltage control using artificial intelligence techniques. This paper presents an optimal and coordinated voltage control method while minimizing losses and voltage deviation of the network. The optimal and coordinated voltage control scheme is implemented on an IEEE 13 bus distribution network for loss and voltage deviation minimization in the networks. Firefly Algorithm (FA) which is a known heuristic optimization technique for finding the optimal solution is used in this work. The results are compared with another optimization method known as Backtracking Search Algorithm (BSA) for identifying the best setting for solving the voltage regulation problem. In order to solve the multi-objective optimization issue, the MATPOWER load flow simulation is integrated in the MATLAB environment with the optimization algorithm. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved.
format Article
author Kamarudin, M.N.
Hashim, T.J.T.
spellingShingle Kamarudin, M.N.
Hashim, T.J.T.
Coordinated and optimal voltage control for voltage regulation using firefly algorithm
author_facet Kamarudin, M.N.
Hashim, T.J.T.
author_sort Kamarudin, M.N.
title Coordinated and optimal voltage control for voltage regulation using firefly algorithm
title_short Coordinated and optimal voltage control for voltage regulation using firefly algorithm
title_full Coordinated and optimal voltage control for voltage regulation using firefly algorithm
title_fullStr Coordinated and optimal voltage control for voltage regulation using firefly algorithm
title_full_unstemmed Coordinated and optimal voltage control for voltage regulation using firefly algorithm
title_sort coordinated and optimal voltage control for voltage regulation using firefly algorithm
publishDate 2020
_version_ 1672614216399323136
score 13.211869