Adaptive conventional power system stabilizer based on artificial neural network
Conference
·
OSTI ID:474576
- Indian Inst. of Tech., New Delhi (India). Dept. of Electrical Engineering
- Bharat Heavy Electricals Ltd., New Delhi (India)
- Tata Hydro, Bombay (India)
This paper deals with an artificial neural network (ANN) based adaptive conventional power system stabilizer (PSS). The ANN comprises an input layer, a hidden layer and an output layer. The input vector to the ANN comprises real power (P) and reactive power (Q), while the output vector comprises optimum PSS parameters. A systematic approach for generating training set covering wide range of operating conditions, is presented. The ANN has been trained using back-propagation training algorithm. Investigations reveal that the dynamic performance of ANN based adaptive conventional PSS is quite insensitive to wide variations in loading conditions.
- OSTI ID:
- 474576
- Report Number(s):
- CONF-9601119--; ISBN 0-7803-2795-0
- Country of Publication:
- United States
- Language:
- English
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