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

fYear

2001

fDate

2001

Firstpage

324

Lastpage

329

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PICA.2001.932372

Filename

932372