Alternative method for economic dispatch utilizing grey wolf optimizer

Power system is one of the largest and most complex engineering systems created by human. The systems are created in order to ensure the longevity and sustainability of the energy for civilization development. As been known, the nonstorage characteristics of electricity and constantly rising prices...

Full description

Bibliographic Details
Main Author:	Wong, Lo Ing
Format:	Thesis
Language:	English English English
Published:	2015
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/13148/ http://umpir.ump.edu.my/id/eprint/13148/ http://umpir.ump.edu.my/id/eprint/13148/1/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666.pdf http://umpir.ump.edu.my/id/eprint/13148/2/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/13148/3/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666%20-%20CHAP%203.pdf

id	ump-13148
recordtype	eprints
spelling	ump-131482016-06-01T06:59:08Z http://umpir.ump.edu.my/id/eprint/13148/ Alternative method for economic dispatch utilizing grey wolf optimizer Wong, Lo Ing T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Power system is one of the largest and most complex engineering systems created by human. The systems are created in order to ensure the longevity and sustainability of the energy for civilization development. As been known, the nonstorage characteristics of electricity and constantly rising prices for labour, supplies and maintenance cost worldwide call for the need of economically power system operation. Economic Dispatch (ED) has the objective of dividing the power demand among the online generators economically while satisfying various constraints. Small improvements in optimal output scheduling can contribute significantly in term of cost savings. Although several optimization methodologies have been developed for solving ED problems, the complexity of the task reveals the necessity for development of efficient algorithms to accurately locate the optimum solution. Thus, the objective of this research is to demonstrate an alternative approach for solving ED problems, aiming to provide a practical alternative for conventional methods. In this research, Grey Wolf Optimizer (GWO) is chosen because it has not been implemented in solving ED problem. Besides, the performance of the algorithm had been benchmarked on 29 well-known test functions and is able to give very competitive results compared to others well-known metaheuristic. In addition, the flexibility of this algorithm is a merit to solve different problems by only setting few parameters such as number of population and number of iteration without any special changes in the structure of the algorithm. Thus, in this research, GWO has been successful to solve higher-order nonlinearities and discontinuities characteristic of ED due to valve-point loading effects, ramp rate limits and prohibited zones. To show the feasibility and applicability of the proposed method, seven different test cases which consist of all types of practical constraints were applied and analyzed and the results were compared with recent research studies. From the simulation results, it shows that GWO is able to find the combination of scheduling generators in order to minimize the fuel cost. It has been observed that the GWO also has the ability to converge to a quality solution and possesses an alternative method for solving ED problems. 2015-10 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13148/1/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13148/2/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666%20-%20CHAP%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13148/3/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666%20-%20CHAP%203.pdf Wong, Lo Ing (2015) Alternative method for economic dispatch utilizing grey wolf optimizer. Masters thesis, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:93874&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English
topic	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Wong, Lo Ing Alternative method for economic dispatch utilizing grey wolf optimizer
description	Power system is one of the largest and most complex engineering systems created by human. The systems are created in order to ensure the longevity and sustainability of the energy for civilization development. As been known, the nonstorage characteristics of electricity and constantly rising prices for labour, supplies and maintenance cost worldwide call for the need of economically power system operation. Economic Dispatch (ED) has the objective of dividing the power demand among the online generators economically while satisfying various constraints. Small improvements in optimal output scheduling can contribute significantly in term of cost savings. Although several optimization methodologies have been developed for solving ED problems, the complexity of the task reveals the necessity for development of efficient algorithms to accurately locate the optimum solution. Thus, the objective of this research is to demonstrate an alternative approach for solving ED problems, aiming to provide a practical alternative for conventional methods. In this research, Grey Wolf Optimizer (GWO) is chosen because it has not been implemented in solving ED problem. Besides, the performance of the algorithm had been benchmarked on 29 well-known test functions and is able to give very competitive results compared to others well-known metaheuristic. In addition, the flexibility of this algorithm is a merit to solve different problems by only setting few parameters such as number of population and number of iteration without any special changes in the structure of the algorithm. Thus, in this research, GWO has been successful to solve higher-order nonlinearities and discontinuities characteristic of ED due to valve-point loading effects, ramp rate limits and prohibited zones. To show the feasibility and applicability of the proposed method, seven different test cases which consist of all types of practical constraints were applied and analyzed and the results were compared with recent research studies. From the simulation results, it shows that GWO is able to find the combination of scheduling generators in order to minimize the fuel cost. It has been observed that the GWO also has the ability to converge to a quality solution and possesses an alternative method for solving ED problems.
format	Thesis
author	Wong, Lo Ing
author_facet	Wong, Lo Ing
author_sort	Wong, Lo Ing
title	Alternative method for economic dispatch utilizing grey wolf optimizer
title_short	Alternative method for economic dispatch utilizing grey wolf optimizer
title_full	Alternative method for economic dispatch utilizing grey wolf optimizer
title_fullStr	Alternative method for economic dispatch utilizing grey wolf optimizer
title_full_unstemmed	Alternative method for economic dispatch utilizing grey wolf optimizer
title_sort	alternative method for economic dispatch utilizing grey wolf optimizer
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/13148/ http://umpir.ump.edu.my/id/eprint/13148/ http://umpir.ump.edu.my/id/eprint/13148/1/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666.pdf http://umpir.ump.edu.my/id/eprint/13148/2/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666%20-%20CHAP%201.pdf http://umpir.ump.edu.my/id/eprint/13148/3/FKEE%20-%20WONG%20LO%20ING%20-%20CD%209666%20-%20CHAP%203.pdf
first_indexed	2023-09-18T22:15:25Z
last_indexed	2023-09-18T22:15:25Z
_version_	1777415304583839744

Alternative method for economic dispatch utilizing grey wolf optimizer

Similar Items