Congestion management based optimization technique using bee colony

Congestion management problem is a popular issue in power system which can be due to line, voltage and thermal constraints. This phenomenon can possibly lead to voltage instability occurrence, loss increment and voltage drop in power system. Therefore, a proper management of congestion should be car...

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Published in:PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts
Main Author: Rahim M.A.; Musirin I.; Abidin I.Z.; Othman M.M.; Joshi D.
Format: Conference paper
Language:English
Published: 2010
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958001041&doi=10.1109%2fPEOCO.2010.5559247&partnerID=40&md5=63effb4c58ac95a49219300c4f307c9f
id 2-s2.0-77958001041
spelling 2-s2.0-77958001041
Rahim M.A.; Musirin I.; Abidin I.Z.; Othman M.M.; Joshi D.
Congestion management based optimization technique using bee colony
2010
PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts


10.1109/PEOCO.2010.5559247
https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958001041&doi=10.1109%2fPEOCO.2010.5559247&partnerID=40&md5=63effb4c58ac95a49219300c4f307c9f
Congestion management problem is a popular issue in power system which can be due to line, voltage and thermal constraints. This phenomenon can possibly lead to voltage instability occurrence, loss increment and voltage drop in power system. Therefore, a proper management of congestion should be carried appropriately in order to maintain system operability considering all the available constraints. This paper presents congestion management problem using bee colony optimization approach. The aim of the study is to optimize the cost of generation in power system network within the given available constraints. The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. Line constraint is also taken into consideration in this study which depends on the electrical power provider to allow the power delivered to the customers. Tests conducted on the IEEE 30-Bus Reliability Test System for performance assessment revealed that the proposed bee algorithm technique is better than evolutionary programming technique in addressing this problem. ©2010 IEEE.


English
Conference paper

author Rahim M.A.; Musirin I.; Abidin I.Z.; Othman M.M.; Joshi D.
spellingShingle Rahim M.A.; Musirin I.; Abidin I.Z.; Othman M.M.; Joshi D.
Congestion management based optimization technique using bee colony
author_facet Rahim M.A.; Musirin I.; Abidin I.Z.; Othman M.M.; Joshi D.
author_sort Rahim M.A.; Musirin I.; Abidin I.Z.; Othman M.M.; Joshi D.
title Congestion management based optimization technique using bee colony
title_short Congestion management based optimization technique using bee colony
title_full Congestion management based optimization technique using bee colony
title_fullStr Congestion management based optimization technique using bee colony
title_full_unstemmed Congestion management based optimization technique using bee colony
title_sort Congestion management based optimization technique using bee colony
publishDate 2010
container_title PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts
container_volume
container_issue
doi_str_mv 10.1109/PEOCO.2010.5559247
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958001041&doi=10.1109%2fPEOCO.2010.5559247&partnerID=40&md5=63effb4c58ac95a49219300c4f307c9f
description Congestion management problem is a popular issue in power system which can be due to line, voltage and thermal constraints. This phenomenon can possibly lead to voltage instability occurrence, loss increment and voltage drop in power system. Therefore, a proper management of congestion should be carried appropriately in order to maintain system operability considering all the available constraints. This paper presents congestion management problem using bee colony optimization approach. The aim of the study is to optimize the cost of generation in power system network within the given available constraints. The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. Line constraint is also taken into consideration in this study which depends on the electrical power provider to allow the power delivered to the customers. Tests conducted on the IEEE 30-Bus Reliability Test System for performance assessment revealed that the proposed bee algorithm technique is better than evolutionary programming technique in addressing this problem. ©2010 IEEE.
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language English
format Conference paper
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