Small signal stability assessment and control of power systems.
A method for assessment and control of small signal stability (SSS) has been proposed in this paper. As the angle of rotor represents the stability of the system, the proposed method tries to assess the instability and its solutions by using comparison instead of time consuming conventional method....
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/32221/ http://psasir.upm.edu.my/id/eprint/32221/1/32221.pdf |
| _version_ | 1848847157064368128 |
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| author | Mirfendereski, Shojaeddin Abdul Wahab, Noor Izzri Jasni, Jasronita Othman, Mohammad Lutfi |
| author_facet | Mirfendereski, Shojaeddin Abdul Wahab, Noor Izzri Jasni, Jasronita Othman, Mohammad Lutfi |
| author_sort | Mirfendereski, Shojaeddin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | A method for assessment and control of small signal stability (SSS) has been proposed in this paper. As the
angle of rotor represents the stability of the system, the proposed method tries to assess the instability and its solutions by using comparison instead of time consuming conventional method. The idea divides power networks into different areas. The system has sub-controllers and main controller with different authorities which will results in fast and reliable prediction and control of SSS. Artificial intelligence could be used as a tool that would give the ability of learning to the system which gives the system the
opportunity to response fast and accurate in future problems. |
| first_indexed | 2025-11-15T09:14:08Z |
| format | Conference or Workshop Item |
| id | upm-32221 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T09:14:08Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-322212014-10-15T06:56:54Z http://psasir.upm.edu.my/id/eprint/32221/ Small signal stability assessment and control of power systems. Mirfendereski, Shojaeddin Abdul Wahab, Noor Izzri Jasni, Jasronita Othman, Mohammad Lutfi A method for assessment and control of small signal stability (SSS) has been proposed in this paper. As the angle of rotor represents the stability of the system, the proposed method tries to assess the instability and its solutions by using comparison instead of time consuming conventional method. The idea divides power networks into different areas. The system has sub-controllers and main controller with different authorities which will results in fast and reliable prediction and control of SSS. Artificial intelligence could be used as a tool that would give the ability of learning to the system which gives the system the opportunity to response fast and accurate in future problems. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/32221/1/32221.pdf Mirfendereski, Shojaeddin and Abdul Wahab, Noor Izzri and Jasni, Jasronita and Othman, Mohammad Lutfi (2012) Small signal stability assessment and control of power systems. In: 2012 IEEE International Power Engineering and Optimization Conference (PEOCO2012), 6-7 June 2012, Melaka, Malaysia. (pp. 515-520). English |
| spellingShingle | Mirfendereski, Shojaeddin Abdul Wahab, Noor Izzri Jasni, Jasronita Othman, Mohammad Lutfi Small signal stability assessment and control of power systems. |
| title | Small signal stability assessment and control of power systems. |
| title_full | Small signal stability assessment and control of power systems. |
| title_fullStr | Small signal stability assessment and control of power systems. |
| title_full_unstemmed | Small signal stability assessment and control of power systems. |
| title_short | Small signal stability assessment and control of power systems. |
| title_sort | small signal stability assessment and control of power systems. |
| url | http://psasir.upm.edu.my/id/eprint/32221/ http://psasir.upm.edu.my/id/eprint/32221/1/32221.pdf |