Title :
A wide area synchrophasor based ANN transient stability predictor for the Egyptian Power System
Author :
Hashiesh, Fahd ; Mostafa, Hossam E. ; Helal, Ibrahim ; Mansour, Mohamed M.
Author_Institution :
ABB Ltd., Stone, UK
Abstract :
This paper proposes an Artificial Neural Networks (ANN) based technique for transient stability prediction. The ANN makes use of the advent of Phasor Measurements Units (PMU) for real-time prediction. Rate of change of bus voltages and angles is used to train a two layers ANN. Potential of the proposed approach is tested using the Egyptian Power System (EPS) as a study system.
Keywords :
neural nets; phase measurement; power system transient stability; ANN; Egyptian power system; artificial neural networks; phaser measurements units; transient stability; wide area synchrophasor; Artificial neural networks; Generators; Phasor measurement units; Power system dynamics; Power system stability; Transient analysis; Artificial Neural Networks; Egyptian Power System; Phasor Measurements Units; Synchrophasor; Transient Stability Prediction; Wide Area Applications;
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010 IEEE PES
Conference_Location :
Gothenburg
Print_ISBN :
978-1-4244-8508-6
Electronic_ISBN :
978-1-4244-8509-3
DOI :
10.1109/ISGTEUROPE.2010.5638923
