Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm
This study proposes a novel modified grey-wolf optimization algorithm (MGWOA) to enhance power system stability. The power system stabilizer and static synchronous series compensator (SSSC) are used as damping controllers. Additionally, fractional-order PID (FOPID) controller is used to handle the s...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/5339630 |
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| author | Manoj Kumar Kar Sanjay Kumar Arun Kumar Singh Sibarama Panigrahi Murthy Cherukuri |
| author_facet | Manoj Kumar Kar Sanjay Kumar Arun Kumar Singh Sibarama Panigrahi Murthy Cherukuri |
| author_sort | Manoj Kumar Kar |
| collection | DOAJ |
| description | This study proposes a novel modified grey-wolf optimization algorithm (MGWOA) to enhance power system stability. The power system stabilizer and static synchronous series compensator (SSSC) are used as damping controllers. Additionally, fractional-order PID (FOPID) controller is used to handle the system nonlinearities and thus achieve better performance. The control parameters are tuned using the proposed MGWOA method which has been verified on unimodal and multimodal functions. Single-machine infinite bus (SMIB) and multimachine power system (MMPS) are taken as case studies to analyze the efficacy of the proposed controller. Minimization of rotor speed deviation is considered an objective function. The results obtained from the MGWOA-tuned FOPID-based damping controllers are compared with those obtained using recently developed efficient and competitive heuristic algorithms. It was observed that the MGWOA method is well-suited for damping low-frequency oscillations. Furthermore, statistical analysis is performed on the obtained results to justify the superiority of the MGWOA method. The simulation results suggest that the MGWOA exhibits superior performance characteristics when applied to a real power system. |
| format | Article |
| id | doaj-art-46bc909d93424ceb86235d2ba8c52194 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-46bc909d93424ceb86235d2ba8c521942025-02-03T06:12:25ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/5339630Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization AlgorithmManoj Kumar Kar0Sanjay Kumar1Arun Kumar Singh2Sibarama Panigrahi3Murthy Cherukuri4Electrical Engineering DepartmentElectrical Engineering DepartmentElectrical Engineering DepartmentDepartment of Computer Science Engineering & ApplicationDepartment of Electrical & Electronics EngineeringThis study proposes a novel modified grey-wolf optimization algorithm (MGWOA) to enhance power system stability. The power system stabilizer and static synchronous series compensator (SSSC) are used as damping controllers. Additionally, fractional-order PID (FOPID) controller is used to handle the system nonlinearities and thus achieve better performance. The control parameters are tuned using the proposed MGWOA method which has been verified on unimodal and multimodal functions. Single-machine infinite bus (SMIB) and multimachine power system (MMPS) are taken as case studies to analyze the efficacy of the proposed controller. Minimization of rotor speed deviation is considered an objective function. The results obtained from the MGWOA-tuned FOPID-based damping controllers are compared with those obtained using recently developed efficient and competitive heuristic algorithms. It was observed that the MGWOA method is well-suited for damping low-frequency oscillations. Furthermore, statistical analysis is performed on the obtained results to justify the superiority of the MGWOA method. The simulation results suggest that the MGWOA exhibits superior performance characteristics when applied to a real power system.http://dx.doi.org/10.1155/2022/5339630 |
| spellingShingle | Manoj Kumar Kar Sanjay Kumar Arun Kumar Singh Sibarama Panigrahi Murthy Cherukuri Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm International Transactions on Electrical Energy Systems |
| title | Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm |
| title_full | Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm |
| title_fullStr | Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm |
| title_full_unstemmed | Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm |
| title_short | Design and Analysis of FOPID-Based Damping Controllers Using a Modified Grey Wolf Optimization Algorithm |
| title_sort | design and analysis of fopid based damping controllers using a modified grey wolf optimization algorithm |
| url | http://dx.doi.org/10.1155/2022/5339630 |
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