Title :
Dynamic identification and control of PWM inverter VAr compensator using neural network
Author :
Hosseini, S.H. ; Tonekaboni, S.H.
Author_Institution :
Dept. of Electr. Eng., Tabriz Univ., Iran
Abstract :
The performance and dynamic characteristic of a solid-state VAr compensator controlled by a neural network is presented and analyzed. Neural network based indirect model reference adaptive control (NN-MRAC) theory is used to design the multioutput nonlinear controller structure. Simulation results of the closed loop control system using a multioutput nonlinear neural network controller demonstrate desirable reactive power compensation and voltage regulation.
Keywords :
DC-AC power convertors; PWM invertors; closed loop systems; control system analysis; control system synthesis; model reference adaptive control systems; neurocontrollers; nonlinear control systems; power system control; reactive power control; voltage control; PWM inverter; closed loop control system; control design; control simulation; dynamic characteristic; indirect model reference adaptive neurocontrol; multioutput nonlinear controller structure; reactive power compensation; solid-state VAr compensator; voltage regulation; Adaptive control; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Performance analysis; Power system modeling; Pulse width modulation inverters; Reactive power; Solid state circuits; Voltage control;
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
DOI :
10.1109/PTC.1999.826700
