Visible to the public Real time fault monitoring and diagnosis method for power grid monitoring and its application

TitleReal time fault monitoring and diagnosis method for power grid monitoring and its application
Publication TypeConference Paper
Year of Publication2017
AuthorsWang, M., Qu, Z., He, X., Li, T., Jin, X., Gao, Z., Zhou, Z., Jiang, F., Li, J.
Conference Name2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)
Date Publishednov
ISBN Number978-1-5386-1427-3
KeywordsAccidents, Circuit faults, diagnosis method, Energy Internet mode, equipment exception, equipment fault logical model, fault analysis, fault diagnosis, fault equipment location, fault type diagnosis, Human Behavior, human factor, human factors, information collection, Internet, matching algorithm, Metrics, missing-report message analysis, Monitoring, multiple fault diagnosis, Optimization, power engineering computing, power grid monitoring, power grids, pubcrawl, real time fault monitoring, Real-time Systems, realized fault information optimization, realtime fault diagnosis, realtime fault monitoring, resilience, Resiliency, section alarm information, standard fault information, standard fault information set, Standards

In Energy Internet mode, a large number of alarm information is generated when equipment exception and multiple faults in large power grid, which seriously affects the information collection, fault analysis and delays the accident treatment for the monitors. To this point, this paper proposed a method for power grid monitoring to monitor and diagnose fault in real time, constructed the equipment fault logical model based on five section alarm information, built the standard fault information set, realized fault information optimization, fault equipment location, fault type diagnosis, false-report message and missing-report message analysis using matching algorithm. The validity and practicality of the proposed method by an actual case was verified, which can shorten the time of obtaining and analyzing fault information, accelerate the progress of accident treatment, ensure the safe and stable operation of power grid.

Citation Keywang_real_2017