Application of policy iteration technique based adaptive optimal control design for automatic voltage regulator of power system

Author(s):  
Lal Bahadur Prasad ◽  
Hari Om Gupta ◽  
Barjeev Tyagi
2012 ◽  
Vol 463-464 ◽  
pp. 1663-1667
Author(s):  
Hai Na Hu ◽  
Wu Wang

Automatic Voltage Regulator (AVR) was applied to hold terminal voltage magnitude of a synchronous generator at a specified level and its stability seriously affects the security of power system. PID control was applied for AVR system control, but the parameters of PID controller were hard to determine, to overcome this problem, some intelligent techniques should be taken. Wavelet Neural Network (WNN) was constrictive and fluctuant of wavelet transform and has self-study, self adjustment and nonlinear mapping functions of neural networks, so the structure of WNN and PID tuning with WNN was proposed, the tuning algorithm was applied into AVR control system, the simulation was taken with normal BP neural network and WNN, the efficiency and advantages of this control strategy was successfully demonstrated which can applied into AVR system for power system stability.


2020 ◽  
Vol 31 (2) ◽  
pp. 549-558 ◽  
Author(s):  
Shuping He ◽  
Haiyang Fang ◽  
Maoguang Zhang ◽  
Fei Liu ◽  
Zhengtao Ding

2021 ◽  
Author(s):  
Tu Phan

After the August 14, 2003 blackout, power system stability probelm has received a great deal of attention. This project is focused on the analysis of transient stability following disturbances. The project investigates three generator-excitation techniques for controlling the stability of power system. They are the manual control (constant excitation voltage), the automatic voltage regulator (AVR), and the automatic voltage regulator plus the power system stabilizer (PSS) that basically can be a led-leg compensator using a rotor speed deviation as an input feedback. This project carried out a computer simulation study of the power system stability for various disturbances conditions. The simulation results from the project have shown that AVR coupled PSS generator-excitation control can achieve the best power system stability, comparing to the manual or AVR control. A major contribution of this project is that a computer platform using MatLab/Simulink software was designed and can be used by other researchers for the power system stability study.


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