Feng Liu

Jun Chen

 Shuai Yao

Hui Wan

The increasing of the electricity demand and consumption puts forward higher requirements for the safety and stability of the power system. The condition monitoring and fault diagnosing of the power systems are essential for ensuring the reliability, safety, and efficiency of electrical power transmission and distribution. Condition monitoring involves the collection and analysis of data from various sensors and measurement devices installed on power system equipment. This data is used to assess the equipment's operational status, identify potential faults before they become critical, and to calculate criteria in relay protection actions if a failure occurs. In the past decades, with the development of advanced analytics, machine learning, and artificial intelligence techniques, advanced power system condition monitoring and fault diagnosis from multiple sources can help reduce downtime, improve the sensitivity of power system relay protection, and lower maintenance costs. In the meanwhile, progress has also been made in environmental compatibility with the adoption of advanced power system condition monitoring and fault diagnosis technologies. This Research Topic, entitled "Advancements in Power System Condition Monitoring, Fault Diagnosis and Environmental Compatibility", aims to present the most recent advances related to power system condition monitoring, fault diagnosis methods, relay protection techniques, and methods and the environmental compatibility of the developing power system. We believe that the findings of this Research Topic will contribute to the power system protection community, thereby promoting the safety and reliability of the power system as well as the advancement of the power system fault diagnosis technologies.

Shuai Yao

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