Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS
As the scale of power dispatching communication system expands day by day, it becomes more and more difficult for operators to deal with fault information. Therefore, it is imperative to develop an excellent fault information processing method for power dispatching communication system. Aiming at th...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10776960/ |
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| author | Lianrong Pan Xiao Yang Yuan Fu Yuyang Hu Shangbin Yuan |
| author_facet | Lianrong Pan Xiao Yang Yuan Fu Yuyang Hu Shangbin Yuan |
| author_sort | Lianrong Pan |
| collection | DOAJ |
| description | As the scale of power dispatching communication system expands day by day, it becomes more and more difficult for operators to deal with fault information. Therefore, it is imperative to develop an excellent fault information processing method for power dispatching communication system. Aiming at the defects of the existing power dispatching communication system, such as difficult to locate the fault information, low efficiency and poor accuracy, the research first introduces the minimum mean square error detection algorithm, and improves this algorithm. Then, the study utilizes the programmable logic controller communication system to complete the processing and analysis of the noise signal information. Second, the study also selects orthogonal frequency division multiplexing to improve the least mean square filtering algorithm in order to improve the accuracy of prediction. Finally, the study establishes a novel fault information processing model for the power dispatching communication system by combining the least mean square error detection algorithm and the least mean square filtering algorithm. The outcomes indicated that the relative errors of this model in predicting electrical and mechanical faults and environmental faults were only 0.41% and 0.21%, respectively. In addition, compared with the rest of the commonly used models, the fault localization accuracy of this model reached 99.08%. It not only effectively improved the fault localization accuracy by more than 13.77%, but also reduced the average number of iterations by more than 47.23. It can be concluded that the fault information processing model by combining the two improved algorithms can effectively improve the accuracy of fault localization and provide an efficient and feasible solution for the fault information processing of power dispatching communication system. |
| format | Article |
| id | doaj-art-8d191f604b4f4436a3e8dff6ef3ae6ea |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-8d191f604b4f4436a3e8dff6ef3ae6ea2025-08-20T02:50:41ZengIEEEIEEE Access2169-35362024-01-011218452918454010.1109/ACCESS.2024.351080710776960Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMSLianrong Pan0https://orcid.org/0009-0008-8883-4048Xiao Yang1Yuan Fu2Yuyang Hu3https://orcid.org/0009-0009-7247-345XShangbin Yuan4Electric Power Dispatching and Control Center, Guangxi Power Grid Company Ltd., Nanning, ChinaElectric Power Dispatching and Control Center, Guangxi Power Grid Company Ltd., Nanning, ChinaElectric Power Dispatching and Control Center, Guangxi Power Grid Company Ltd., Nanning, ChinaElectric Power Dispatching and Control Center, Guangxi Power Grid Company Ltd., Nanning, ChinaElectric Power Dispatching and Control Center, Guangxi Power Grid Company Ltd., Nanning, ChinaAs the scale of power dispatching communication system expands day by day, it becomes more and more difficult for operators to deal with fault information. Therefore, it is imperative to develop an excellent fault information processing method for power dispatching communication system. Aiming at the defects of the existing power dispatching communication system, such as difficult to locate the fault information, low efficiency and poor accuracy, the research first introduces the minimum mean square error detection algorithm, and improves this algorithm. Then, the study utilizes the programmable logic controller communication system to complete the processing and analysis of the noise signal information. Second, the study also selects orthogonal frequency division multiplexing to improve the least mean square filtering algorithm in order to improve the accuracy of prediction. Finally, the study establishes a novel fault information processing model for the power dispatching communication system by combining the least mean square error detection algorithm and the least mean square filtering algorithm. The outcomes indicated that the relative errors of this model in predicting electrical and mechanical faults and environmental faults were only 0.41% and 0.21%, respectively. In addition, compared with the rest of the commonly used models, the fault localization accuracy of this model reached 99.08%. It not only effectively improved the fault localization accuracy by more than 13.77%, but also reduced the average number of iterations by more than 47.23. It can be concluded that the fault information processing model by combining the two improved algorithms can effectively improve the accuracy of fault localization and provide an efficient and feasible solution for the fault information processing of power dispatching communication system.https://ieeexplore.ieee.org/document/10776960/Minimum mean square errorleast mean squarepower dispatching communicationfaultsprogrammable logic controller |
| spellingShingle | Lianrong Pan Xiao Yang Yuan Fu Yuyang Hu Shangbin Yuan Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS IEEE Access Minimum mean square error least mean square power dispatching communication faults programmable logic controller |
| title | Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS |
| title_full | Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS |
| title_fullStr | Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS |
| title_full_unstemmed | Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS |
| title_short | Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS |
| title_sort | fault information processing of power dispatching communication system combining mmse algorithm and lms |
| topic | Minimum mean square error least mean square power dispatching communication faults programmable logic controller |
| url | https://ieeexplore.ieee.org/document/10776960/ |
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