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US 11,448,671 B2Granted
Signature identification for power system events
AssigneeGeneral Electric Company
InventorsWeizhong Yan, Honggang Wang
Life of this patent
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AssigneeGeneral Electric Company
InventorsWeizhong Yan, Honggang Wang
Estimating the term…
Briefly, embodiments are directed to a system, method, and article for identifying power system event signatures. Input measurement data may be received from one or more data sources relating to a power grid system. The input measurement data may comprise normal system operation measurement data and power system event measurement data. A processor may perform operations during an online application phase. During the online application phase, a feature matrix may be generated for the power system event measurement data and the at least one trained auto-associative model. The feature matrix for the power system event measurement data may be processed to determine power system event residuals. Also during the online application phase, the power system event signatures may be identified based on residual statistics for normal system operation measurement data residuals and on the power system event residuals.
A system to identify power system event signatures, the system comprising:
A method to identify power system event signatures, the method comprising:
The method of 12, wherein the input measurement data comprises one or more of phasor measurement unit (PMU) data, Supervisory Control and Data Acquisition (SCADA) data, weather data, dissolved gas analysis (DGA) sensors, and/or partial discharge (PD) monitor sensor data.
The method of 13, wherein extracted features of at least one of the first and second feature matrixes are associated with at least one of:
An article, comprising:
Dependencies are inferred from the claim text.