Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem

This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which is inspired from gray wolves’ leadership and hunting behaviors to solve optimal reactive power dispatch (ORPD) problem. ORPD problem is a well-known nonlinear optimization problem in power system. GW...

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Main Authors:	M. H., Sulaiman, Zuriani, Mustaffa, Mohd Rusllim, Mohamed, Omar, Aliman
Format:	Article
Language:	English
Published:	Elsevier 2015
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/9087/ http://umpir.ump.edu.my/id/eprint/9087/ http://umpir.ump.edu.my/id/eprint/9087/ http://umpir.ump.edu.my/id/eprint/9087/1/fkee-2015-herwan-Using%20The%20Gray%20Wolf%20Optimizer%20abs.pdf

id	ump-9087
recordtype	eprints
spelling	ump-90872018-03-07T04:25:40Z http://umpir.ump.edu.my/id/eprint/9087/ Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem M. H., Sulaiman Zuriani, Mustaffa Mohd Rusllim, Mohamed Omar, Aliman QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which is inspired from gray wolves’ leadership and hunting behaviors to solve optimal reactive power dispatch (ORPD) problem. ORPD problem is a well-known nonlinear optimization problem in power system. GWO is utilized to find the best combination of control variables such as generator voltages, tap changing transformers’ ratios as well as the amount of reactive compensation devices so that the loss and voltage deviation minimizations can be achieved. In this paper, two case studies of IEEE 30-bus system and IEEE 118-bus system are used to show the effectiveness of GWO technique compared to other techniques available in literature. The results of this research show that GWO is able to achieve less power loss and voltage deviation than those determined by other techniques. Elsevier 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9087/1/fkee-2015-herwan-Using%20The%20Gray%20Wolf%20Optimizer%20abs.pdf M. H., Sulaiman and Zuriani, Mustaffa and Mohd Rusllim, Mohamed and Omar, Aliman (2015) Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem. Applied Soft Computing, 32. pp. 286-292. ISSN 1568-4946 (print); 1872-9681 (online) http://dx.doi.org/10.1016/j.asoc.2015.03.041 DOI: 10.1016/j.asoc.2015.03.041
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering M. H., Sulaiman Zuriani, Mustaffa Mohd Rusllim, Mohamed Omar, Aliman Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem
description	This paper presents the use of a new meta-heuristic technique namely gray wolf optimizer (GWO) which is inspired from gray wolves’ leadership and hunting behaviors to solve optimal reactive power dispatch (ORPD) problem. ORPD problem is a well-known nonlinear optimization problem in power system. GWO is utilized to find the best combination of control variables such as generator voltages, tap changing transformers’ ratios as well as the amount of reactive compensation devices so that the loss and voltage deviation minimizations can be achieved. In this paper, two case studies of IEEE 30-bus system and IEEE 118-bus system are used to show the effectiveness of GWO technique compared to other techniques available in literature. The results of this research show that GWO is able to achieve less power loss and voltage deviation than those determined by other techniques.
format	Article
author	M. H., Sulaiman Zuriani, Mustaffa Mohd Rusllim, Mohamed Omar, Aliman
author_facet	M. H., Sulaiman Zuriani, Mustaffa Mohd Rusllim, Mohamed Omar, Aliman
author_sort	M. H., Sulaiman
title	Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem
title_short	Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem
title_full	Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem
title_fullStr	Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem
title_full_unstemmed	Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem
title_sort	using the gray wolf optimizer for solving optimal reactive power dispatch problem
publisher	Elsevier
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/9087/ http://umpir.ump.edu.my/id/eprint/9087/ http://umpir.ump.edu.my/id/eprint/9087/ http://umpir.ump.edu.my/id/eprint/9087/1/fkee-2015-herwan-Using%20The%20Gray%20Wolf%20Optimizer%20abs.pdf
first_indexed	2023-09-18T22:07:16Z
last_indexed	2023-09-18T22:07:16Z
_version_	1777414792278966272

Using the Gray Wolf Optimizer for Solving Optimal Reactive Power Dispatch Problem

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