NUISANCE TRIP DECISION MANAGEMENT USING DATA ANALYTICS IN ELECTRICAL PROTECTION SYSTEM

The present invention discloses a system (200) and method for nuisance-trip decision management in an electric power system using data analytics comprising, a protection system, PS, (202), and at least one electrical protection circuit, EPC, (204). The PS (202) comprising, a plurality of sensors (206) configured to measure data ; a memory (208) configured to store an updated data of nuisance-trip events and a plurality of nuisance-trip parameters detected or generated on the electric power system over a period; a processor (210) configured to perform hybrid machine learning (HML) based on the measured data from the plurality of sensors for a nuisance-trip condition and communicate with a neighboring PS (220a, 220b,220c); a protection microcontroller (212) configured to allow or avoid tripping at least one electronic tripping circuit (214) provided in the at least one EPC by communicating with the processor (210) and the neighboring PS (220a, 220b,220c).