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

Volume

2

fYear

1998

fDate

18-21 Aug 1998

Firstpage

834

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4754-4

Type

conf

DOI

10.1109/ICPST.1998.729202

Filename

729202