Title :
Development of an alert system for abnormal systemic conditions
Author :
Mouta, L.E.S. ; Curi, M. ; Nogueira, M.M. ; Plena, T. ; Aredes, Mauricio ; N´Diaye, M.S.
Abstract :
This paper presents the development of an alert system that detects abnormal system conditions for the Power Transmissioner Porto Primavera (PPTE) substations. This routine enables the PPTE operators to have a pro-active position during Brazilian National Interconnected System (SIN) disturbances, providing information that describes the types of some known contingencies when it occurs, even if the event is external to PPTE system. The system is based on Artificial Neural Network (ANN), trained from some SIN´s disturbances simulations results. The ANN inputs are buses PPTE net voltage, current and frequency.
Keywords :
neural nets; power engineering computing; power system faults; power system interconnection; substation protection; Brazilian National Interconnected System disturbances; PPTE operators; Power Transmissioner Porto Primavera substations; abnormal systemic conditions; alert system; artificial neural network; pro-active position; Artificial neural networks; Biological neural networks; Neurons; Power transmission lines; Simulation; Training; Transmission line measurements; Artificial Neural Network; Disturbances Analysis; Supervision System; Support to Operation in Real Time;
Conference_Titel :
Industrial Electronics (ISIE), 2011 IEEE International Symposium on
Conference_Location :
Gdansk
Print_ISBN :
978-1-4244-9310-4
Electronic_ISBN :
Pending
DOI :
10.1109/ISIE.2011.5984259