WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 14, 2019
Application of Wavelet Neural Network in Adaptive Coordination of Power System Damping Controllers and Stability Improvement
Authors: ,
Abstract: The application of wavelet neural network in adaptive coordination of power system damping controllers, i.e. power system stabilizers (PSSs) and flexible alternating current transmission system (FACTS) controllers is investigated and presented in this paper. In the present work, the wavelet neural network is utilized to represent the relationship between the power system states (operating conditions and configurations) and the controller parameters (gains and time constants) which is generally nonlinear. The proposed adaptive power system damping controller is intended to enhance and maintain power system stability even if the system operating conditions and/or configurations change. The developed wavelet neural network-based stabilizer has been tested with a representative multi-machine power system to verify its dynamic performance.
Search Articles
Pages: 216-222
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 14, 2019, Art. #27