Title :
Genetic algorithm aided controller design with application to SVC
Author :
Ju, Peijian ; Handschin, E. ; Reyer, F.
Author_Institution :
Dept. of Electr. Eng., Dortmund Univ., Germany
fDate :
5/1/1996 12:00:00 AM
Abstract :
Usually, it is difficult to use current methods to design a controller with combined continuous and discrete actions. The paper presents a novel approach to solving this problem, i.e. transforming the controller design problem into an optimisation problem and then searching the optimal (or suboptimal) controller parameters by a genetic algorithm. This new approach has been applied to the controller design of a static VAr compensator (SVC) with satisfactory results, which show that the new approach is simple yet powerful
Keywords :
control system synthesis; discrete systems; genetic algorithms; optimal control; power system control; reactive power control; static VAr compensators; SVC; continuous and discrete actions; genetic algorithm; optimal control design; optimal controller parameters; optimisation problem; power systems; static VAr compensator; suboptimal controller parameters;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19960330