Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch

Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch

This paper presents the application of recent nature inspired computing techniques namely gray wolf optimizer (GWO) and ant lion optimizer (ALO) in solving optimal reactive power dispatch (ORPD) problem. GWO and ALO are utilized to minimize the transmission losses by finding the best combination o...

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Main Authors: Rebecca Ng, Shin Mei, Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Hamdan, Daniyal
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/15938/
http://umpir.ump.edu.my/id/eprint/15938/
http://umpir.ump.edu.my/id/eprint/15938/1/P017%20pg107-114.pdf
id ump-15938
recordtype eprints
spelling ump-159382019-10-30T03:39:42Z http://umpir.ump.edu.my/id/eprint/15938/ Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch Rebecca Ng, Shin Mei Mohd Herwan, Sulaiman Zuriani, Mustaffa Hamdan, Daniyal TK Electrical engineering. Electronics Nuclear engineering This paper presents the application of recent nature inspired computing techniques namely gray wolf optimizer (GWO) and ant lion optimizer (ALO) in solving optimal reactive power dispatch (ORPD) problem. GWO and ALO are utilized to minimize the transmission losses by finding the best combination of control variables such as generator voltages, transformer tap ratios as well as reactive compensation devices. In this paper, IEEE 30-bus system is utilized to show these techniques in solving ORPD. The comparison between the effectiveness of GWO and ALO are made and reported in this paper. The results show that GWO is able to gain a better result in solving ORPD than ALO. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15938/1/P017%20pg107-114.pdf Rebecca Ng, Shin Mei and Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Hamdan, Daniyal (2016) Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 107-114.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
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
Rebecca Ng, Shin Mei
Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Hamdan, Daniyal
Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
description This paper presents the application of recent nature inspired computing techniques namely gray wolf optimizer (GWO) and ant lion optimizer (ALO) in solving optimal reactive power dispatch (ORPD) problem. GWO and ALO are utilized to minimize the transmission losses by finding the best combination of control variables such as generator voltages, transformer tap ratios as well as reactive compensation devices. In this paper, IEEE 30-bus system is utilized to show these techniques in solving ORPD. The comparison between the effectiveness of GWO and ALO are made and reported in this paper. The results show that GWO is able to gain a better result in solving ORPD than ALO.
format Conference or Workshop Item
author Rebecca Ng, Shin Mei
Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Hamdan, Daniyal
author_facet Rebecca Ng, Shin Mei
Mohd Herwan, Sulaiman
Zuriani, Mustaffa
Hamdan, Daniyal
author_sort Rebecca Ng, Shin Mei
title Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
title_short Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
title_full Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
title_fullStr Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
title_full_unstemmed Nature Inspired Computing Techniques for Optimal Reactive Power Dispatch
title_sort nature inspired computing techniques for optimal reactive power dispatch
publisher Universiti Malaysia Pahang
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15938/
http://umpir.ump.edu.my/id/eprint/15938/
http://umpir.ump.edu.my/id/eprint/15938/1/P017%20pg107-114.pdf
first_indexed 2023-09-18T22:21:10Z
last_indexed 2023-09-18T22:21:10Z
_version_ 1777415666404425728

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