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...
Published in: | PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts |
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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 |
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PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts |
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doi_str_mv |
10.1109/PEOCO.2010.5559247 |
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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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English |
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Conference paper |
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Scopus |
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1809677914774437888 |