Load flow method using genetic algorithm
Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. This paper presents the implemention of the simple genetic algorithm and constrained genetic algori...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
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2003
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| _version_ | 1796854229770436608 |
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| author | Lok, C. W. Zin, A. A. M. Mustafa, M. W. Lo, Kueiming Lun |
| author_facet | Lok, C. W. Zin, A. A. M. Mustafa, M. W. Lo, Kueiming Lun |
| author_sort | Lok, C. W. |
| collection | ePrints |
| description | Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. This paper presents the implemention of the simple genetic algorithm and constrained genetic algorithm to solve the load flow problem. It compares the performance of the simple genetic algorithm (SGA) and the constrained genetic algorithm (CGA) to solve the load flow problem. Numerical results on two test systems are presented. |
| first_indexed | 2024-03-05T18:11:18Z |
| format | Conference or Workshop Item |
| id | utm.eprints-7523 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:11:18Z |
| publishDate | 2003 |
| record_format | dspace |
| spelling | utm.eprints-75232017-08-29T08:36:22Z http://eprints.utm.my/7523/ Load flow method using genetic algorithm Lok, C. W. Zin, A. A. M. Mustafa, M. W. Lo, Kueiming Lun TK Electrical engineering. Electronics Nuclear engineering Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. This paper presents the implemention of the simple genetic algorithm and constrained genetic algorithm to solve the load flow problem. It compares the performance of the simple genetic algorithm (SGA) and the constrained genetic algorithm (CGA) to solve the load flow problem. Numerical results on two test systems are presented. 2003 Conference or Workshop Item PeerReviewed Lok, C. W. and Zin, A. A. M. and Mustafa, M. W. and Lo, Kueiming Lun (2003) Load flow method using genetic algorithm. In: IPEC 2003-6th International Power Engineering Conference. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Lok, C. W. Zin, A. A. M. Mustafa, M. W. Lo, Kueiming Lun Load flow method using genetic algorithm |
| title | Load flow method using genetic algorithm |
| title_full | Load flow method using genetic algorithm |
| title_fullStr | Load flow method using genetic algorithm |
| title_full_unstemmed | Load flow method using genetic algorithm |
| title_short | Load flow method using genetic algorithm |
| title_sort | load flow method using genetic algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT lokcw loadflowmethodusinggeneticalgorithm AT zinaam loadflowmethodusinggeneticalgorithm AT mustafamw loadflowmethodusinggeneticalgorithm AT lokueiminglun loadflowmethodusinggeneticalgorithm |