Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm
This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2001
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1487/ http://eprints.utm.my/1487/1/JT35D5.pdf |
| _version_ | 1848890148702388224 |
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| author | Othman, M. F. Mahfouf, M. Linkens, D. A. |
| author_facet | Othman, M. F. Mahfouf, M. Linkens, D. A. |
| author_sort | Othman, M. F. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the FLPSS. A four-machine and a two-area power system is used as the case study. Computer simulations for the test system subjected to transient disturbances i.e. a three phase fault, were carried out and the results showed that the proposed controller is able to prove its effectiveness and improve the system damping when compared to a conventional lead-lag based power system stabilizer controller. |
| first_indexed | 2025-11-15T20:37:28Z |
| format | Article |
| id | utm-1487 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:37:28Z |
| publishDate | 2001 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-14872017-11-01T04:17:47Z http://eprints.utm.my/1487/ Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm Othman, M. F. Mahfouf, M. Linkens, D. A. T Technology (General) This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system. Speed deviation of a machine and its derivative are chosen as the input signals to the FLPSS. A four-machine and a two-area power system is used as the case study. Computer simulations for the test system subjected to transient disturbances i.e. a three phase fault, were carried out and the results showed that the proposed controller is able to prove its effectiveness and improve the system damping when compared to a conventional lead-lag based power system stabilizer controller. Penerbit UTM Press 2001-12 Article PeerReviewed application/pdf en http://eprints.utm.my/1487/1/JT35D5.pdf Othman, M. F. and Mahfouf, M. and Linkens, D. A. (2001) Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm. Jurnal Teknologi D, 35 (D). pp. 55-64. ISSN 0127-9696 |
| spellingShingle | T Technology (General) Othman, M. F. Mahfouf, M. Linkens, D. A. Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| title | Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| title_full | Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| title_fullStr | Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| title_full_unstemmed | Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| title_short | Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| title_sort | designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm |
| topic | T Technology (General) |
| url | http://eprints.utm.my/1487/ http://eprints.utm.my/1487/1/JT35D5.pdf |