Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm
In interconnected power system networks, low-frequency oscillations (LFOs) have been a significant challenge for engineers for several years, which makes the system unstable by lowering the damping ratio. This article represents a method for designing robust power system stabilizers (PSS) that use t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2022-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/acm31/files/Aza.pdf |
| _version_ | 1811251089514692608 |
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| author | Md. Samiul Azam Md. Rashidul Islam Md Shafiullah Mohammad Saiful Islam |
| author_facet | Md. Samiul Azam Md. Rashidul Islam Md Shafiullah Mohammad Saiful Islam |
| author_sort | Md. Samiul Azam |
| collection | DOAJ |
| description | In interconnected power system networks, low-frequency oscillations (LFOs) have been a significant challenge for engineers for several years, which makes the system unstable by lowering the damping ratio. This article represents a method for designing robust power system stabilizers (PSS) that use the jellyfish search algorithm (JSA) based optimization approach for multimachine networks. The suggested method uses the JSA optimization technique to damp out LFOs by tuning the critical parameters of conventional lead-leg type power system stabilizers (CPSS). In this optimization problem, a damping ratio-based objective function is used to increase system damping. This method is tested on two separate multimachine networks exposed to a three-phase fault, and compared with two well-known optimization algorithms called particle swarm optimization (PSO) and backtracking search algorithm (BSA). Results show that the JSA optimized technique provides better system damping than PSO and BSA-based techniques, indicating that the suggested technique is robust and reliable. |
| first_indexed | 2024-04-12T16:14:20Z |
| format | Article |
| id | doaj.art-3165b848f7fb4397bf04551acd28324f |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-04-12T16:14:20Z |
| publishDate | 2022-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-3165b848f7fb4397bf04551acd28324f2022-12-22T03:25:47ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372022-04-0131238939510.5281/zenodo.6517043Robust Design of PSS for Multimachine Networks using Jellyfish Search AlgorithmMd. Samiul Azam0Md. Rashidul Islam1Md Shafiullah2Mohammad Saiful Islam3International Islamic University Chittagong, BangladeshInternational Islamic University Chittagong, BangladeshKing Fahd University of Petroleum & Minerals, Saudi ArabiaKing Fahd University of Petroleum & Minerals, Saudi ArabiaIn interconnected power system networks, low-frequency oscillations (LFOs) have been a significant challenge for engineers for several years, which makes the system unstable by lowering the damping ratio. This article represents a method for designing robust power system stabilizers (PSS) that use the jellyfish search algorithm (JSA) based optimization approach for multimachine networks. The suggested method uses the JSA optimization technique to damp out LFOs by tuning the critical parameters of conventional lead-leg type power system stabilizers (CPSS). In this optimization problem, a damping ratio-based objective function is used to increase system damping. This method is tested on two separate multimachine networks exposed to a three-phase fault, and compared with two well-known optimization algorithms called particle swarm optimization (PSO) and backtracking search algorithm (BSA). Results show that the JSA optimized technique provides better system damping than PSO and BSA-based techniques, indicating that the suggested technique is robust and reliable.https://www.fruct.org/publications/acm31/files/Aza.pdfjsapsobsalow-frequency oscillationdamping ratiodynamic stabilitymultimachine power systempss |
| spellingShingle | Md. Samiul Azam Md. Rashidul Islam Md Shafiullah Mohammad Saiful Islam Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm Proceedings of the XXth Conference of Open Innovations Association FRUCT jsa pso bsa low-frequency oscillation damping ratio dynamic stability multimachine power system pss |
| title | Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm |
| title_full | Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm |
| title_fullStr | Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm |
| title_full_unstemmed | Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm |
| title_short | Robust Design of PSS for Multimachine Networks using Jellyfish Search Algorithm |
| title_sort | robust design of pss for multimachine networks using jellyfish search algorithm |
| topic | jsa pso bsa low-frequency oscillation damping ratio dynamic stability multimachine power system pss |
| url | https://www.fruct.org/publications/acm31/files/Aza.pdf |
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