Title :
A nonlinear voltage controller with derivative adaptive critics for multimachine power systems
Author :
Venayagamoort, G.K. ; Harley, R.G. ; Wunsch, D.C.
Author_Institution :
Dept. of Electron. Eng., ML Sultan Technikon, Durban, South Africa
Abstract :
Based on derivative adaptive critics, a novel nonlinear optimal voltage/excitation control for a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulations on a three-machine system demonstrate that the nonlinear controller is much more effective than the conventional PID controller equipped with a power system stabilizer for improving dynamic performance and stability under small and large disturbances
Keywords :
feedforward neural nets; multilayer perceptrons; neurocontrollers; nonlinear control systems; optimal control; power system control; power system stability; voltage control; artificial neural networks; backpropagation; derivative adaptive critics; dynamic performance improvement; feedback variables; large disturbances; local measurements; multilayer perceptrons; multimachine power system; nonlinear controller; nonlinear optimal excitation control; nonlinear optimal voltage control; optimal control; power system stability; small disturbances; stability improvement; three-machine system; voltage regulation; Adaptive control; Control systems; Nonlinear control systems; Optimal control; Power system dynamics; Power system measurements; Power system simulation; Power system stability; Programmable control; Voltage control;
Conference_Titel :
Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6681-6
DOI :
10.1109/PICA.2001.932372
