Application of multi-sensor information fusion technology in fault early warning of smart grid equipment

Abstract The purpose of this paper is to improve the fault early warning effect of smart grid equipment through multi-sensor information fusion technology. Therefore, based on the analytical model of power grid fault diagnosis, this paper considers the influence of distributed generation in distribu...

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Main Authors: Zhihui Kang, Yanjie Zhang, Yuhong Du
Format: Article
Language:English
Published: SpringerOpen 2024-11-01
Series:Energy Informatics
Subjects:
Online Access:https://doi.org/10.1186/s42162-024-00433-0
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author Zhihui Kang
Yanjie Zhang
Yuhong Du
author_facet Zhihui Kang
Yanjie Zhang
Yuhong Du
author_sort Zhihui Kang
collection DOAJ
description Abstract The purpose of this paper is to improve the fault early warning effect of smart grid equipment through multi-sensor information fusion technology. Therefore, based on the analytical model of power grid fault diagnosis, this paper considers the influence of distributed generation in distribution network on fault diagnosis, as well as the misoperation or refusal of protection and switch, and the false alarm or leakage of alarm signal. At the same time, in order to display the results of fault diagnosis accurately and intuitively, an analytical model of fault diagnosis of distribution network based on multi-source information fusion is proposed. Finally, this paper verifies the effectiveness of this method through an example application. This article uses the PEDL dataset for experimental research, Through the comparison of fault data, it can be seen that compared with existing methods, the method proposed in this paper achieves the highest goodness of fit for warning, indicating the best fault warning effect.When there is enough training set, the prediction accuracy of the fault set can reach over 99%, Based on experimental analysis, it can be concluded that the proposed power grid equipment model has higher accuracy and reliability compared to traditional models. And the model in this article integrates the real-time monitoring function of power grid equipment and the equipment fault warning function, which improves the practicality of the power grid equipment monitoring system.
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institution Kabale University
issn 2520-8942
language English
publishDate 2024-11-01
publisher SpringerOpen
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series Energy Informatics
spelling doaj-art-6f63ee6e943942fbaa0500f35dcd87152024-11-24T12:45:08ZengSpringerOpenEnergy Informatics2520-89422024-11-017112410.1186/s42162-024-00433-0Application of multi-sensor information fusion technology in fault early warning of smart grid equipmentZhihui Kang0Yanjie Zhang1Yuhong Du2Hebi Institute of Engineering and Technology, Henan Polytechnic UniversityHebi Institute of Engineering and Technology, Henan Polytechnic UniversityHebi Institute of Engineering and Technology, Henan Polytechnic UniversityAbstract The purpose of this paper is to improve the fault early warning effect of smart grid equipment through multi-sensor information fusion technology. Therefore, based on the analytical model of power grid fault diagnosis, this paper considers the influence of distributed generation in distribution network on fault diagnosis, as well as the misoperation or refusal of protection and switch, and the false alarm or leakage of alarm signal. At the same time, in order to display the results of fault diagnosis accurately and intuitively, an analytical model of fault diagnosis of distribution network based on multi-source information fusion is proposed. Finally, this paper verifies the effectiveness of this method through an example application. This article uses the PEDL dataset for experimental research, Through the comparison of fault data, it can be seen that compared with existing methods, the method proposed in this paper achieves the highest goodness of fit for warning, indicating the best fault warning effect.When there is enough training set, the prediction accuracy of the fault set can reach over 99%, Based on experimental analysis, it can be concluded that the proposed power grid equipment model has higher accuracy and reliability compared to traditional models. And the model in this article integrates the real-time monitoring function of power grid equipment and the equipment fault warning function, which improves the practicality of the power grid equipment monitoring system.https://doi.org/10.1186/s42162-024-00433-0Multi-sensorInformation fusionSmart gridEquipment failureEarly warning
spellingShingle Zhihui Kang
Yanjie Zhang
Yuhong Du
Application of multi-sensor information fusion technology in fault early warning of smart grid equipment
Energy Informatics
Multi-sensor
Information fusion
Smart grid
Equipment failure
Early warning
title Application of multi-sensor information fusion technology in fault early warning of smart grid equipment
title_full Application of multi-sensor information fusion technology in fault early warning of smart grid equipment
title_fullStr Application of multi-sensor information fusion technology in fault early warning of smart grid equipment
title_full_unstemmed Application of multi-sensor information fusion technology in fault early warning of smart grid equipment
title_short Application of multi-sensor information fusion technology in fault early warning of smart grid equipment
title_sort application of multi sensor information fusion technology in fault early warning of smart grid equipment
topic Multi-sensor
Information fusion
Smart grid
Equipment failure
Early warning
url https://doi.org/10.1186/s42162-024-00433-0
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AT yanjiezhang applicationofmultisensorinformationfusiontechnologyinfaultearlywarningofsmartgridequipment
AT yuhongdu applicationofmultisensorinformationfusiontechnologyinfaultearlywarningofsmartgridequipment