Title :
Application of PBIL to the optimization of PSS tuning
Author :
Chen, L. ; Petroianu, A.
Author_Institution :
Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa
Abstract :
A suboptimal H∞ PSS tuning method has been developed. This method can improve overall damping factor and robustness by using the existing PSS structure. One of the optimization methods applied to this tuning procedure was sequential quadratic programming (SQP). Since SQP only deals with convex problems, it is not suitable for multi-machine power systems. To address the shortcomings of the method an optimization method called PBIL (population based incremental learning) with the key features of its ability to optimize nonconvex, multi-variable problems has been applied to the tuning method developed
Keywords :
H∞ control; damping; power system control; power system stability; quadratic programming; robust control; damping factor improvement; multi-machine power systems; nonconvex multi-variable problems; optimization methods; population based incremental learning; robustness improvement; sequential quadratic programming; suboptimal H∞ PSS tuning method; Control theory; Damping; Helium; Optimization methods; Power system modeling; Power systems; Quadratic programming; Robust control; Robustness; Tuning;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729202
