Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer
This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus) for solving economic dispatch (ED) problems. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey w...
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| Format: | Article |
| Language: | English |
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scientific.net
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/10366/1/Solving%20Economic%20Dispatch%20Problems%20with%20Practical%20Constraints%20Utilizing%20Grey%20Wolf%20Optimizer.pdf |
| _version_ | 1796990782032314368 |
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| author | Lo, Ing Wong M. H., Sulaiman Mohd Rusllim, Mohamed |
| author_facet | Lo, Ing Wong M. H., Sulaiman Mohd Rusllim, Mohamed |
| author_sort | Lo, Ing Wong |
| collection | UMP |
| description | This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus) for solving economic dispatch (ED) problems. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting: searching for prey, encircling prey and attacking prey are implemented. In this paper, GWO was demonstrated and tested on two well-known test systems with practical constraints. A comparison of simulation results is carried out with those published in the recent literatures. The results show that the GWO algorithm is able to provide very competitive results for nonlinear characteristics of the generators such as ramp rate limits, prohibited zone and non-smooth cost functions compared to the other well-known meta-heuristics techniques. |
| first_indexed | 2024-03-06T11:56:39Z |
| format | Article |
| id | UMPir10366 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:56:39Z |
| publishDate | 2015 |
| publisher | scientific.net |
| record_format | dspace |
| spelling | UMPir103662018-03-07T03:48:24Z http://umpir.ump.edu.my/id/eprint/10366/ Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer Lo, Ing Wong M. H., Sulaiman Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering This paper presents the application of a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus) for solving economic dispatch (ED) problems. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, the three main steps of hunting: searching for prey, encircling prey and attacking prey are implemented. In this paper, GWO was demonstrated and tested on two well-known test systems with practical constraints. A comparison of simulation results is carried out with those published in the recent literatures. The results show that the GWO algorithm is able to provide very competitive results for nonlinear characteristics of the generators such as ramp rate limits, prohibited zone and non-smooth cost functions compared to the other well-known meta-heuristics techniques. scientific.net 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10366/1/Solving%20Economic%20Dispatch%20Problems%20with%20Practical%20Constraints%20Utilizing%20Grey%20Wolf%20Optimizer.pdf Lo, Ing Wong and M. H., Sulaiman and Mohd Rusllim, Mohamed (2015) Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer. Applied Mechanics and Materials, 785. pp. 511-515. ISSN 1662-7482. (Published) http://www.scientific.net/AMM.785.511 DOI: 10.4028/www.scientific.net/AMM.785.511 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Lo, Ing Wong M. H., Sulaiman Mohd Rusllim, Mohamed Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer |
| title | Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer |
| title_full | Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer |
| title_fullStr | Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer |
| title_full_unstemmed | Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer |
| title_short | Solving Economic Dispatch Problems with Practical Constraints Utilizing Grey Wolf Optimizer |
| title_sort | solving economic dispatch problems with practical constraints utilizing grey wolf optimizer |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/10366/1/Solving%20Economic%20Dispatch%20Problems%20with%20Practical%20Constraints%20Utilizing%20Grey%20Wolf%20Optimizer.pdf |
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