Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms
This research investigated the performance of a 5 MW PV grid-connected plant in Al Fashir City, Sudan. The research aims to improve the performance and increase the efficiency of the Al Fashir plant by identifying the maximum power point and increasing the tracking efficiency based on the algorithms...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2022/1278492 |
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| author | Abdalftah Hamed Ali Atabak Najafi |
| author_facet | Abdalftah Hamed Ali Atabak Najafi |
| author_sort | Abdalftah Hamed Ali |
| collection | DOAJ |
| description | This research investigated the performance of a 5 MW PV grid-connected plant in Al Fashir City, Sudan. The research aims to improve the performance and increase the efficiency of the Al Fashir plant by identifying the maximum power point and increasing the tracking efficiency based on the algorithms developed. The PV systems benefit from MPPT approaches because they improve power output and energy delivery to the load while also extending the useful life of the PV system. The P&O algorithm performance is compared to the ANN trained by the PSO method by a set of solar radiation values. However, time response, oscillation, and stability are the three most important factors to consider when evaluating the effectiveness of any MPPT algorithm. The results show that the ANN trained by the performance of the PSO algorithm was better in time response, tracking speed, and oscillation than the P&O algorithm and could identify the new power point quickly. The results of this study will assist in resizing the PV plant and improve the operation performance and efficiency to provide affordable and reliable power accessible to the people in Al Fashir city. |
| format | Article |
| id | doaj-art-72a88951d78042acb9edba89d95dae63 |
| 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-72a88951d78042acb9edba89d95dae632025-02-03T01:07:57ZengWileyInternational Transactions on Electrical Energy Systems2050-70382022-01-01202210.1155/2022/1278492Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O AlgorithmsAbdalftah Hamed Ali0Atabak Najafi1Omdurman Islamic UniversityEskisehir Osmangazi UniversityThis research investigated the performance of a 5 MW PV grid-connected plant in Al Fashir City, Sudan. The research aims to improve the performance and increase the efficiency of the Al Fashir plant by identifying the maximum power point and increasing the tracking efficiency based on the algorithms developed. The PV systems benefit from MPPT approaches because they improve power output and energy delivery to the load while also extending the useful life of the PV system. The P&O algorithm performance is compared to the ANN trained by the PSO method by a set of solar radiation values. However, time response, oscillation, and stability are the three most important factors to consider when evaluating the effectiveness of any MPPT algorithm. The results show that the ANN trained by the performance of the PSO algorithm was better in time response, tracking speed, and oscillation than the P&O algorithm and could identify the new power point quickly. The results of this study will assist in resizing the PV plant and improve the operation performance and efficiency to provide affordable and reliable power accessible to the people in Al Fashir city.http://dx.doi.org/10.1155/2022/1278492 |
| spellingShingle | Abdalftah Hamed Ali Atabak Najafi Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms International Transactions on Electrical Energy Systems |
| title | Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms |
| title_full | Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms |
| title_fullStr | Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms |
| title_full_unstemmed | Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms |
| title_short | Optimization and Performance Improvement of Grid-Connected PV Plant Based on ANN-PSO and P&O Algorithms |
| title_sort | optimization and performance improvement of grid connected pv plant based on ann pso and p o algorithms |
| url | http://dx.doi.org/10.1155/2022/1278492 |
| work_keys_str_mv | AT abdalftahhamedali optimizationandperformanceimprovementofgridconnectedpvplantbasedonannpsoandpoalgorithms AT atabaknajafi optimizationandperformanceimprovementofgridconnectedpvplantbasedonannpsoandpoalgorithms |