Improved sine-cosine algorithm-based power system stability under different fault conditions
This study examines power system stability through the application of the improved sine cosine algorithm (ISCA). To minimize the oscillation of the system, two damping controllers have been used, the first one is power system stabilizer (PSS) and second one is static synchronous series compensator...
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| Format: | Article |
| Language: | English |
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OICC Press
2025-03-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/10857 |
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| author | Sritosh Kumar Sahoo Manoj Kumar Kar Sanjay Kumar Sanjay Kumar Rabindra Nath Mahanty |
| author_facet | Sritosh Kumar Sahoo Manoj Kumar Kar Sanjay Kumar Sanjay Kumar Rabindra Nath Mahanty |
| author_sort | Sritosh Kumar Sahoo |
| collection | DOAJ |
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This study examines power system stability through the application of the improved sine cosine algorithm (ISCA). To minimize the oscillation of the system, two damping controllers have been used, the first one is power system stabilizer (PSS) and second one is static synchronous series compensator (SSSC). A single machine infinite bus (SMIB) is implemented to analyze the stability performance. The various parameters of PSS and SSSC have been tuned with the use of the ISCA approach, which improves the system performance. The main aim of this work is to reduce the speed deviation of rotor. A comparative analysis has been carried out with traditional sine cosine algorithm (SCA) on performance basis. The fitness value (ITAE) of SCA and ISCA are found to be 0.0018573 and 0.0018518 respectively. The SMIB system is tested with different loading such as nominal loading (NL), light loading (LL), heavy loading (HL) condition. To check the robustness of the proposed system, various faults (LLLG fault, LLG fault, LL fault, LG fault) has been applied to the system and results are compared with ISCA optimized controller.
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| format | Article |
| id | doaj-art-d39dd6be1e62476c800e587949a37ece |
| institution | DOAJ |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-d39dd6be1e62476c800e587949a37ece2025-08-20T03:09:24ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962025-03-01191 (March 2025)10.57647/j.mjee.2025.1901.10Improved sine-cosine algorithm-based power system stability under different fault conditionsSritosh Kumar Sahoo0https://orcid.org/0009-0004-7870-5438Manoj Kumar Kar1https://orcid.org/0000-0002-8473-425XSanjay Kumar2https://orcid.org/0000-0002-2667-1035Sanjay Kumar3https://orcid.org/0000-0002-2667-1035Rabindra Nath Mahanty4https://orcid.org/0000-0002-6463-0306Electrical Engineering Department, NIT Jamshedpur, IndiaElectrical Engineering Department, Tolani Maritime Institute Pune, IndiaElectrical Engineering Department, NIT Jamshedpur, IndiaElectrical Engineering Department, NIT Jamshedpur, IndiaElectrical Engineering Department, NIT Jamshedpur, India This study examines power system stability through the application of the improved sine cosine algorithm (ISCA). To minimize the oscillation of the system, two damping controllers have been used, the first one is power system stabilizer (PSS) and second one is static synchronous series compensator (SSSC). A single machine infinite bus (SMIB) is implemented to analyze the stability performance. The various parameters of PSS and SSSC have been tuned with the use of the ISCA approach, which improves the system performance. The main aim of this work is to reduce the speed deviation of rotor. A comparative analysis has been carried out with traditional sine cosine algorithm (SCA) on performance basis. The fitness value (ITAE) of SCA and ISCA are found to be 0.0018573 and 0.0018518 respectively. The SMIB system is tested with different loading such as nominal loading (NL), light loading (LL), heavy loading (HL) condition. To check the robustness of the proposed system, various faults (LLLG fault, LLG fault, LL fault, LG fault) has been applied to the system and results are compared with ISCA optimized controller. https://oiccpress.com/mjee/article/view/10857Fault analysisImproved sine cosine algorithmPower system stabilizerStatic synchronous series compensatorSingle machine infinite bus |
| spellingShingle | Sritosh Kumar Sahoo Manoj Kumar Kar Sanjay Kumar Sanjay Kumar Rabindra Nath Mahanty Improved sine-cosine algorithm-based power system stability under different fault conditions Majlesi Journal of Electrical Engineering Fault analysis Improved sine cosine algorithm Power system stabilizer Static synchronous series compensator Single machine infinite bus |
| title | Improved sine-cosine algorithm-based power system stability under different fault conditions |
| title_full | Improved sine-cosine algorithm-based power system stability under different fault conditions |
| title_fullStr | Improved sine-cosine algorithm-based power system stability under different fault conditions |
| title_full_unstemmed | Improved sine-cosine algorithm-based power system stability under different fault conditions |
| title_short | Improved sine-cosine algorithm-based power system stability under different fault conditions |
| title_sort | improved sine cosine algorithm based power system stability under different fault conditions |
| topic | Fault analysis Improved sine cosine algorithm Power system stabilizer Static synchronous series compensator Single machine infinite bus |
| url | https://oiccpress.com/mjee/article/view/10857 |
| work_keys_str_mv | AT sritoshkumarsahoo improvedsinecosinealgorithmbasedpowersystemstabilityunderdifferentfaultconditions AT manojkumarkar improvedsinecosinealgorithmbasedpowersystemstabilityunderdifferentfaultconditions AT sanjaykumar improvedsinecosinealgorithmbasedpowersystemstabilityunderdifferentfaultconditions AT sanjaykumar improvedsinecosinealgorithmbasedpowersystemstabilityunderdifferentfaultconditions AT rabindranathmahanty improvedsinecosinealgorithmbasedpowersystemstabilityunderdifferentfaultconditions |