Title :
An application of artificial neural networks in power system load modeling
Author :
Yousefi, G. Reza
Author_Institution :
AZAD Univ., Iran
Abstract :
The paper proposes a new approach in which artificial neural network (ANN) is employed to find out the sensitivity coefficients of motor loads; active and reactive; in terms of voltage and frequency by using readily available nameplate data. The. results are then used in a static type aggregate load modeling algorithm. Promising results are demonstrated.
Keywords :
electric machine analysis computing; electric motors; neural nets; artificial neural networks; motor loads; power system load modeling; sensitivity coefficients; static type aggregate load modeling algorithm; Aggregates; Artificial neural networks; Frequency; Induction motors; Intelligent networks; Load flow; Load modeling; Power system modeling; Reactive power; Voltage;
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
DOI :
10.1109/PES.2005.1489294
