Power grid fault diagnosis method based on alarm information and PMU fusion

Jiang Liu; Ling Zheng; Xu Zhang; Zixing Guo

doi:10.1117/12.2668200

28 March 2023 Power grid fault diagnosis method based on alarm information and PMU fusion

Jiang Liu, Ling Zheng, Xu Zhang, Zixing Guo

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256609 (2023) https://doi.org/10.1117/12.2668200
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

With the rapid development of smart grid technology, more and more attention has been paid to the stability of the power grid. When the power grid fails, the dispatch center will receive various types of data, including the PMU data collected by the PMU (Power Management Unit) device used by the Wide Area Monitoring System (WAMS) and the data collected by the Supervisory Control System for Data Acquisition and Control (SCADA). Alarm information data, they describe the same grid fault from different dimensions. At present, the power grid fault diagnosis based on PMU data and alarm information texts has been fully studied, but the information source is single, and it is difficult to ensure the accuracy of the diagnosis results when complex faults and multiple faults occur in the power grid. This paper starts with the information source of power grid fault diagnosis and develops a power grid fault diagnosis method that integrates the dual data sources of PMU and alarm information: 1. effectively connect alarm message text and PMU based on fault events. 2. complete the fusion of PMU and alarm information to improve the scope and accuracy of power grid fault diagnosis. Finally, the simulation fault data is used to test. The experimental results show that the accuracy of fault diagnosis of dual data source fusion is higher than that of single data.

Citation Download Citation

Jiang Liu, Ling Zheng, Xu Zhang, and Zixing Guo "Power grid fault diagnosis method based on alarm information and PMU fusion", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256609 (28 March 2023); https://doi.org/10.1117/12.2668200

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KEYWORDS

Data modeling

Power grids

Data fusion

Education and training

Information fusion

Computer programming

Image fusion

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