1. Artificial neural network power system stabilizers in multi-machine power system environment
- Author
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Zhang, Y., Malik, O.P., and Chen, G.P.
- Subjects
Electric power system stability -- Research ,Neural networks -- Usage ,Interconnected electric utility systems -- Research ,Business ,Electronics ,Electronics and electrical industries - Abstract
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 multi-layer neural network with error-backpropagation 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. Keywords - Power System Stabilizer, Artificial Neural Network, Inverse Plant, Multi-layer Network, Error Backpropagation, Multi-machine, Multi-mode Oscillation.
- Published
- 1995