A wide area synchrophasor based ANN transient stability predictor for the Egyptian power system
Ibrahim Helal; Mostafa, Hossam E; Hashiesh, Fahd; Mansour, Mohamed M;
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.
Other data
| Title | A wide area synchrophasor based ANN transient stability predictor for the Egyptian power system | Authors | Ibrahim Helal ; Mostafa, Hossam E; Hashiesh, Fahd; Mansour, Mohamed M | Keywords | Artificial neural networks; Egyptian power system; Phasor measurements units; Synchrophasor; Transient stability prediction; Wide area applications | Issue Date | 13-Oct-2010 | Conference | 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010 | ISSN | IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe |
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