Intelligent Controller Design and Fault Prediction Using Machine Learning Model
In a solar power plant, a solid phase transformer and an optimization coordinated controller are utilized to improve transient responsiveness. Transient stability issues in a contemporary electrical power system represent one of the difficult tasks for an electrical engineer due to the rise in uncer...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/1056387 |
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| author | Kailash Kumar Suyog Vinayak Pande T. Ch. Anil Kumar Parvesh Saini Abhay Chaturvedi Pundru Chandra Shaker Reddy Krishna Bikram Shah |
| author_facet | Kailash Kumar Suyog Vinayak Pande T. Ch. Anil Kumar Parvesh Saini Abhay Chaturvedi Pundru Chandra Shaker Reddy Krishna Bikram Shah |
| author_sort | Kailash Kumar |
| collection | DOAJ |
| description | In a solar power plant, a solid phase transformer and an optimization coordinated controller are utilized to improve transient responsiveness. Transient stability issues in a contemporary electrical power system represent one of the difficult tasks for an electrical engineer due to the rise in uncertain renewable energy sources (RESs) as a result of the need for green energy. The potential for terminal voltage to be adversely impacted by this greater RES raises the possibility of electrical device damage. It is possible to use a solid state transformer (SST) or smart transformer to address a transient response issue. These devices are frequently employed to interact between RES and a power grid. SST features a variety of regulated converters to maintain the necessary voltage levels. This method can therefore simultaneously lessen power fluctuations and transient responsiveness. In order to improve the quality of RES power injections and the electrical system’s transient stability, this work provides a controller design for a solar photovoltaic (SPV) system that is connected to the grid by SST. The optimization of a controller model is proposed by modifying a PI controller taken from a commercial one. With the use of IEEE 39 standard buses, the proposed controller is tested. When evaluating the effectiveness of a suggested controller, it is important to take into account a variety of solar radiation patterns as well as a time delay uncertainty that can range from 425 ms to 525 ms. According to simulation results, the proposed controller can be employed to lessen power fluctuation brought on by unpredictable RES. Additionally, the proposed coordinated regulation of SPV and SST can prevent catastrophic damage in the event of substantial disturbances like a circuit breaker collapsing to expand a power line due to a fault by inhibiting significant voltage cycles within an electronic appliance’s rated voltage limit. The results indicate that a transitory stability issue in a modern power system caused by an unforeseen increase in RES may be addressed utilizing the suggested controllers as alternatives. |
| format | Article |
| id | doaj-art-f59083f6904144baa90f4d117fd64dc0 |
| institution | Kabale University |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-f59083f6904144baa90f4d117fd64dc02025-02-03T01:30:24ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/1056387Intelligent Controller Design and Fault Prediction Using Machine Learning ModelKailash Kumar0Suyog Vinayak Pande1T. Ch. Anil Kumar2Parvesh Saini3Abhay Chaturvedi4Pundru Chandra Shaker Reddy5Krishna Bikram Shah6College of Computing and InformaticsDepartment of Electronics and Telecommunication EngineeringDepartment of Mechanical EngineeringElectrical EngineeringDepartment of Electronics and Communication EngineeringDepartment of Computer Science and EngineeringDepartment of Computer Science and EngineeringIn a solar power plant, a solid phase transformer and an optimization coordinated controller are utilized to improve transient responsiveness. Transient stability issues in a contemporary electrical power system represent one of the difficult tasks for an electrical engineer due to the rise in uncertain renewable energy sources (RESs) as a result of the need for green energy. The potential for terminal voltage to be adversely impacted by this greater RES raises the possibility of electrical device damage. It is possible to use a solid state transformer (SST) or smart transformer to address a transient response issue. These devices are frequently employed to interact between RES and a power grid. SST features a variety of regulated converters to maintain the necessary voltage levels. This method can therefore simultaneously lessen power fluctuations and transient responsiveness. In order to improve the quality of RES power injections and the electrical system’s transient stability, this work provides a controller design for a solar photovoltaic (SPV) system that is connected to the grid by SST. The optimization of a controller model is proposed by modifying a PI controller taken from a commercial one. With the use of IEEE 39 standard buses, the proposed controller is tested. When evaluating the effectiveness of a suggested controller, it is important to take into account a variety of solar radiation patterns as well as a time delay uncertainty that can range from 425 ms to 525 ms. According to simulation results, the proposed controller can be employed to lessen power fluctuation brought on by unpredictable RES. Additionally, the proposed coordinated regulation of SPV and SST can prevent catastrophic damage in the event of substantial disturbances like a circuit breaker collapsing to expand a power line due to a fault by inhibiting significant voltage cycles within an electronic appliance’s rated voltage limit. The results indicate that a transitory stability issue in a modern power system caused by an unforeseen increase in RES may be addressed utilizing the suggested controllers as alternatives.http://dx.doi.org/10.1155/2023/1056387 |
| spellingShingle | Kailash Kumar Suyog Vinayak Pande T. Ch. Anil Kumar Parvesh Saini Abhay Chaturvedi Pundru Chandra Shaker Reddy Krishna Bikram Shah Intelligent Controller Design and Fault Prediction Using Machine Learning Model International Transactions on Electrical Energy Systems |
| title | Intelligent Controller Design and Fault Prediction Using Machine Learning Model |
| title_full | Intelligent Controller Design and Fault Prediction Using Machine Learning Model |
| title_fullStr | Intelligent Controller Design and Fault Prediction Using Machine Learning Model |
| title_full_unstemmed | Intelligent Controller Design and Fault Prediction Using Machine Learning Model |
| title_short | Intelligent Controller Design and Fault Prediction Using Machine Learning Model |
| title_sort | intelligent controller design and fault prediction using machine learning model |
| url | http://dx.doi.org/10.1155/2023/1056387 |
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