Title :
Research on PID parameters optimization of synchronous generator excitation control system
Author :
Cao Yuan ; Ma Jin
Author_Institution :
Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Beijing, China
Abstract :
Synchronous generator excitation control system is one of the most important parts of power system control. And as PID control is one of the first developed and the most widely used control schemes in excitation system, its parameters tuning problem has been highly concerned. Since MATLAB genetic algorithm toolbox has the characteristics of strong robustness and efficient optimization, this paper first establishes a mathematical model of generator excitation system, and then uses ITSE index of terminal voltage step response curve as the optimization index, computes the fitness function based on SIMULINK platform, and uses MATLAB genetic algorithm toolbox to optimize PID parameters of synchronous generator excitation control system. Applying this method to a power plant´s synchronous generator excitation system, results demonstrate that dynamic characteristics are improved greatly.
Keywords :
genetic algorithms; machine control; machine theory; synchronous generators; three-term control; transfer functions; ITSE index; PID control; PID parameter optimization; SIMULINK platform; fitness function; genetic algorithms; mathematical model; parameter tuning problem; power plant synchronous generator excitation system; power system control; synchronous generator excitation control system; terminal voltage step response curve; transfer function; Control systems; Generators; Indexes; MATLAB; Optimization; Transfer functions; Voltage control; PID controller; SIMULINK; excitation control system; genetic algorithms; optimization index; step response; transfer function;
Conference_Titel :
Critical Infrastructure (CRIS), 2010 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8080-7
DOI :
10.1109/CRIS.2010.5617581
