Online Health Assessment Method for Substation Monitoring System Equipment

Abnormal health conditions in substation monitoring equipment can lead to a decline in system performance, even causing functional failures that threaten grid security. However, current research on health assessment for secondary equipment primarily focuses on protective devices. This paper proposes an online health assessment method for substation monitoring system equipment. First, a three-level health assessment index system is constructed for substation monitoring equipment. Then, a fuzzy comprehensive evaluation method is proposed for the online health assessment of substation monitoring equipment. Finally, practical examples verify the effectiveness and engineering applicability of the proposed method.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928499
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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Online Health Assessment Method for Substation Monitoring System Equipment

Qiming Peng, Yikang Zhang, Xiang Zheng, Yiting Yu et al.
Smart Grid and Power Systems
article

Online Health Assessment Method for Substation Monitoring System Equipment

Qiming Peng, Yikang Zhang, Xiang Zheng, Yiting Yu, Ancheng Xue, Min Zhang, Shaoyu Chen, Jiayi Wu
article en

Abstract

Abnormal health conditions in substation monitoring equipment can lead to a decline in system performance, even causing functional failures that threaten grid security. However, current research on health assessment for secondary equipment primarily focuses on protective devices. This paper proposes an online health assessment method for substation monitoring system equipment. First, a three-level health assessment index system is constructed for substation monitoring equipment. Then, a fuzzy comprehensive evaluation method is proposed for the online health assessment of substation monitoring equipment. Finally, practical examples verify the effectiveness and engineering applicability of the proposed method.

North China Electric Power University (CN)
State Grid Corporation of China
Openalex Percentile: Top 73%
Smart Grid and Power Systems
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