AI solution to economic dispatch
In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical...
| Main Author: | |
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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2009
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| Online Access: | http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/1/20.AI%20solution%20to%20economic%20dispatch.pdf |
| _version_ | 1848816944770187264 |
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| author | Nur Farhanah, Wakiman |
| author_facet | Nur Farhanah, Wakiman |
| author_sort | Nur Farhanah, Wakiman |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems. |
| first_indexed | 2025-11-15T01:13:55Z |
| format | Undergraduates Project Papers |
| id | ump-1944 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:13:55Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-19442023-03-24T00:30:39Z http://umpir.ump.edu.my/id/eprint/1944/ AI solution to economic dispatch Nur Farhanah, Wakiman TK Electrical engineering. Electronics Nuclear engineering In this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems. 2009-12 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/1944/1/20.AI%20solution%20to%20economic%20dispatch.pdf Nur Farhanah, Wakiman (2009) AI solution to economic dispatch. Faculty of Electrical & Electronic Engineering, Universiti Malaysia Pahang. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nur Farhanah, Wakiman AI solution to economic dispatch |
| title | AI solution to economic dispatch |
| title_full | AI solution to economic dispatch |
| title_fullStr | AI solution to economic dispatch |
| title_full_unstemmed | AI solution to economic dispatch |
| title_short | AI solution to economic dispatch |
| title_sort | ai solution to economic dispatch |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/1944/ http://umpir.ump.edu.my/id/eprint/1944/1/20.AI%20solution%20to%20economic%20dispatch.pdf |