Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique

Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. Thus, reactive power support is one of the alternative available schemes that can be performed to the system other than employing instal...

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Main Authors: Nor Rul Hasma, Abdullah, Ismail, Musirin, Muhammad Murtadha, Othman
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6571/
http://umpir.ump.edu.my/id/eprint/6571/
http://umpir.ump.edu.my/id/eprint/6571/1/Operating_Generator_Selection_Applied_For_Reactive_Power_Dispatched_Using_Evolutionary_Programming_Technique.pdf
id ump-6571
recordtype eprints
spelling ump-65712018-04-30T05:56:22Z http://umpir.ump.edu.my/id/eprint/6571/ Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique Nor Rul Hasma, Abdullah Ismail, Musirin Muhammad Murtadha, Othman TK Electrical engineering. Electronics Nuclear engineering Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. Thus, reactive power support is one of the alternative available schemes that can be performed to the system other than employing installing compensating devices. One of the choices is optimal reactive power dispatched (RPD). Operating all generators for performing reactive power support to a power system may lead to non-economical results which is rather unnecessary. Therefore, effort should be taken in order to avoid all generators from full operational in the attempt to raise the voltage level and improve the voltage stability condition in the system. This paper presents a new approach for selecting the operating generator performed optimally using Evolutionary Programming (EP) technique in power system. The proposed technique determines the best combination of generator that should be dispatched in the system considering loss minimization or voltage stability improvement. Implementation on the proposed technique was realized on the IEEE 30-bus RTS. Complete implementations on numerous combinations have been conducted and results indicated that the proposed technique revealed the best combination of the operating generators for improving voltage stability in the system. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6571/1/Operating_Generator_Selection_Applied_For_Reactive_Power_Dispatched_Using_Evolutionary_Programming_Technique.pdf Nor Rul Hasma, Abdullah and Ismail, Musirin and Muhammad Murtadha, Othman (2013) Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique. In: Power Engineering and Optimization Conference (PEOCO), 3-4 June 2013 , Langkawi. pp. 583-587.. http://dx.doi.org/10.1109/PEOCO.2013.6564615
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Nor Rul Hasma, Abdullah
Ismail, Musirin
Muhammad Murtadha, Othman
Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
description Increment of load demands will cause voltage decay in the system which may lead to voltage collapse and increase thermal effect to transmission line in the system. Thus, reactive power support is one of the alternative available schemes that can be performed to the system other than employing installing compensating devices. One of the choices is optimal reactive power dispatched (RPD). Operating all generators for performing reactive power support to a power system may lead to non-economical results which is rather unnecessary. Therefore, effort should be taken in order to avoid all generators from full operational in the attempt to raise the voltage level and improve the voltage stability condition in the system. This paper presents a new approach for selecting the operating generator performed optimally using Evolutionary Programming (EP) technique in power system. The proposed technique determines the best combination of generator that should be dispatched in the system considering loss minimization or voltage stability improvement. Implementation on the proposed technique was realized on the IEEE 30-bus RTS. Complete implementations on numerous combinations have been conducted and results indicated that the proposed technique revealed the best combination of the operating generators for improving voltage stability in the system.
format Conference or Workshop Item
author Nor Rul Hasma, Abdullah
Ismail, Musirin
Muhammad Murtadha, Othman
author_facet Nor Rul Hasma, Abdullah
Ismail, Musirin
Muhammad Murtadha, Othman
author_sort Nor Rul Hasma, Abdullah
title Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
title_short Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
title_full Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
title_fullStr Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
title_full_unstemmed Operating Generator Selection Applied for Reactive Power Dispatched Using Evolutionary Programming Technique
title_sort operating generator selection applied for reactive power dispatched using evolutionary programming technique
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/6571/
http://umpir.ump.edu.my/id/eprint/6571/
http://umpir.ump.edu.my/id/eprint/6571/1/Operating_Generator_Selection_Applied_For_Reactive_Power_Dispatched_Using_Evolutionary_Programming_Technique.pdf
first_indexed 2023-09-18T22:02:28Z
last_indexed 2023-09-18T22:02:28Z
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