Title :
Optimal design for power system dynamic stabilizer by grey prediction PID control
Author :
Ding, Chian-Chuang ; Lee, King-Tan ; Tsai, Chee-Ming ; Huang, Tsong-Liang
Author_Institution :
Dept. of Electr. Eng., Tamkang Univ., Tamsui, Taiwan
Abstract :
In this paper, we proposed an effective method to design the power system stabilizers (PSS). The design of a PSS can be formulated as an optimal linear regulator control problem; however, implementing this technique requires the design of estimators. This increases the implementation and reduces the reliability of control system. Therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed. To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator and use grey prediction PID control to find control signal of each generator. Moreover, we will apply genetic algorithms (GAs) to find the appropriate parameter values for the desired system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems.
Keywords :
control system synthesis; genetic algorithms; optimal control; power system control; three-term control; PID control; genetic algorithms; grey prediction; optimal linear regulator control; parameter values; power system stabilizers; reliability; Control systems; Design methodology; Optimal control; Power generation; Power system dynamics; Power system modeling; Power system reliability; Predictive models; Signal generators; Three-term control;
Conference_Titel :
Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7657-9
DOI :
10.1109/ICIT.2002.1189907