Artificial neural network power system stabilizers in multi-machine power system environment
- Univ. of Calgary, Alberta (Canada). Dept. of Electrical and Computer Engineering
Effectiveness of an artificial neural network (ANN), functioning as a power system stabilizer (PSS), in damping multi-mode oscillations in a five-machine power system environment Is investigated in this paper. Accelerating power of the generating unit is used as the input to the ANN PSS. The proposed ANN PSS using a multilayer neural network with error-back propagation training method was trained over the full working range of the generating unit with a large variety of disturbances. The ANN was trained to memorize the reverse input/output mapping of the synchronous machine. Results show that the proposed ANN PSS can provide good damping for both local and inter-area modes of oscillations.
- OSTI ID:
- 40282
- Report Number(s):
- CONF-940110--
- Journal Information:
- IEEE Transactions on Energy Conversion, Journal Name: IEEE Transactions on Energy Conversion Journal Issue: 1 Vol. 10; ISSN 0885-8969; ISSN ITCNE4
- Country of Publication:
- United States
- Language:
- English
Similar Records
Tuning of power system stabilizers using an artificial neural network
An artificial neural network based adaptive power system stabilizer