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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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Main Authors:	Rahim M.A., Musirin I., Abidin I.Z., Othman M.M., Joshi D.
Other Authors:	58773347500
Format:	Conference Paper
Published:	2023
Subjects:	Bee colony algorithm Congestion management Cost optimization Electrical Algorithms Computer programming Costs Management Bee Algorithm Colony algorithms Colony optimization Electrical power Evolutionary programming Objective functions Optimization techniques Performance assessment Power system networks Power systems Reliability test system Thermal constraints Voltage drop Voltage instability Optimization
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id	my.uniten.dspace-30540
record_format	dspace
spelling	my.uniten.dspace-305402024-04-18T11:06:33Z Congestion management based optimization technique using bee colony Rahim M.A. Musirin I. Abidin I.Z. Othman M.M. Joshi D. 58773347500 8620004100 35606640500 35944613200 55431909000 Bee colony algorithm Congestion management Cost optimization Electrical Algorithms Computer programming Costs Management Bee Algorithm Colony algorithms Colony optimization Congestion management Cost optimization Electrical Electrical power Evolutionary programming Objective functions Optimization techniques Performance assessment Power system networks Power systems Reliability test system Thermal constraints Voltage drop Voltage instability Optimization 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. Final 2023-12-29T07:49:08Z 2023-12-29T07:49:08Z 2010 Conference Paper 10.1109/PEOCO.2010.5559247 2-s2.0-77958001041 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958001041&doi=10.1109%2fPEOCO.2010.5559247&partnerID=40&md5=63effb4c58ac95a49219300c4f307c9f https://irepository.uniten.edu.my/handle/123456789/30540 5559247 184 188 Scopus
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/
topic	Bee colony algorithm Congestion management Cost optimization Electrical Algorithms Computer programming Costs Management Bee Algorithm Colony algorithms Colony optimization Congestion management Cost optimization Electrical Electrical power Evolutionary programming Objective functions Optimization techniques Performance assessment Power system networks Power systems Reliability test system Thermal constraints Voltage drop Voltage instability Optimization
spellingShingle	Bee colony algorithm Congestion management Cost optimization Electrical Algorithms Computer programming Costs Management Bee Algorithm Colony algorithms Colony optimization Congestion management Cost optimization Electrical Electrical power Evolutionary programming Objective functions Optimization techniques Performance assessment Power system networks Power systems Reliability test system Thermal constraints Voltage drop Voltage instability Optimization Rahim M.A. Musirin I. Abidin I.Z. Othman M.M. Joshi D. Congestion management based optimization technique using bee colony
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.
author2	58773347500
author_facet	58773347500 Rahim M.A. Musirin I. Abidin I.Z. Othman M.M. Joshi D.
format	Conference Paper
author	Rahim M.A. Musirin I. Abidin I.Z. Othman M.M. Joshi D.
author_sort	Rahim M.A.
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	2023
_version_	1806424260043866112
score	13.222552

Congestion management based optimization technique using bee colony

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