Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation
As maximum power point tracking (MPPT) algorithms have developed towards multi-task intelligent computing, processors in photovoltaic power generation control systems must be capable of achieving a higher performance. However, the challenges posed by the complex environment of photovoltaic fields wi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/23/7561 |
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| author | Liang Liu Xige Zhang Jiahui Zhou Kai Niu Zixuan Guo Yawen Zhao Meng Zhang |
| author_facet | Liang Liu Xige Zhang Jiahui Zhou Kai Niu Zixuan Guo Yawen Zhao Meng Zhang |
| author_sort | Liang Liu |
| collection | DOAJ |
| description | As maximum power point tracking (MPPT) algorithms have developed towards multi-task intelligent computing, processors in photovoltaic power generation control systems must be capable of achieving a higher performance. However, the challenges posed by the complex environment of photovoltaic fields with regard to processor reliability cannot be overlooked. To address these issues, we proposed a novel approach. Our approach uses error rate and performance as switching metrics and performs joint statistics to achieve efficient adaptive switching. Based on this, our work designed a redundancy-mode switchable three-core processor system to balance performance and reliability. Additionally, by analyzing the relationship between performance and reliability, we proposed optimization methods to improve reliability while ensuring a high performance was maintained. Finally, we designed an error injection method and verified the system’s reliability by analyzing the error rate probability model in different scenarios. The results of the analysis show that compared with the traditional MPPT controller, the redundancy mode switchable multi-core processor system proposed in this paper exhibits a reliability approximately 5.58 times that of a non-fault-tolerant system. Furthermore, leveraging the feature of module switching, the system’s performance has been enhanced by 26% compared to a highly reliable triple modular redundancy systems, significantly improving the system’s reliability while ensuring a good performance is maintained. |
| format | Article |
| id | doaj-art-e9395e1cb9d64a98b6ee09dae491a90f |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-e9395e1cb9d64a98b6ee09dae491a90f2025-08-20T02:38:36ZengMDPI AGSensors1424-82202024-11-012423756110.3390/s24237561Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power GenerationLiang Liu0Xige Zhang1Jiahui Zhou2Kai Niu3Zixuan Guo4Yawen Zhao5Meng Zhang6Smartchip Microelectronics Technology Co., Ltd., Beijing 100000, ChinaSmartchip Microelectronics Technology Co., Ltd., Beijing 100000, ChinaSmartchip Microelectronics Technology Co., Ltd., Beijing 100000, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710000, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710000, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710000, ChinaSchool of Computer Science, Northwestern Polytechnical University, Xi’an 710000, ChinaAs maximum power point tracking (MPPT) algorithms have developed towards multi-task intelligent computing, processors in photovoltaic power generation control systems must be capable of achieving a higher performance. However, the challenges posed by the complex environment of photovoltaic fields with regard to processor reliability cannot be overlooked. To address these issues, we proposed a novel approach. Our approach uses error rate and performance as switching metrics and performs joint statistics to achieve efficient adaptive switching. Based on this, our work designed a redundancy-mode switchable three-core processor system to balance performance and reliability. Additionally, by analyzing the relationship between performance and reliability, we proposed optimization methods to improve reliability while ensuring a high performance was maintained. Finally, we designed an error injection method and verified the system’s reliability by analyzing the error rate probability model in different scenarios. The results of the analysis show that compared with the traditional MPPT controller, the redundancy mode switchable multi-core processor system proposed in this paper exhibits a reliability approximately 5.58 times that of a non-fault-tolerant system. Furthermore, leveraging the feature of module switching, the system’s performance has been enhanced by 26% compared to a highly reliable triple modular redundancy systems, significantly improving the system’s reliability while ensuring a good performance is maintained.https://www.mdpi.com/1424-8220/24/23/7561adaptive switchingreliabilityTMRDMRMPPT |
| spellingShingle | Liang Liu Xige Zhang Jiahui Zhou Kai Niu Zixuan Guo Yawen Zhao Meng Zhang Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation Sensors adaptive switching reliability TMR DMR MPPT |
| title | Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation |
| title_full | Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation |
| title_fullStr | Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation |
| title_full_unstemmed | Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation |
| title_short | Adaptive Switching Redundant-Mode Multi-Core System for Photovoltaic Power Generation |
| title_sort | adaptive switching redundant mode multi core system for photovoltaic power generation |
| topic | adaptive switching reliability TMR DMR MPPT |
| url | https://www.mdpi.com/1424-8220/24/23/7561 |
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