Title :
Genetic algorithm-aided design of a fuzzy logic stabilizer for a superconducting generator
Author :
Saleh, Ragaey A F ; Bolton, Hugh R.
Author_Institution :
Sch. of Eng., Cardiff Univ., UK
fDate :
11/1/2000 12:00:00 AM
Abstract :
An important aspect of the design of superconducting generators concerns stability following a major system disturbance. Because the superconducting field winding has a very long time constant, turbine governor control is crucial for improving transient and dynamic stability. This paper describes the design of a fuzzy logic stabilizer using a genetic algorithm to enhance the stability of a superconducting generator whose turbine is equipped with fast acting electro-hydraulic governors. The stabilizing signal is based on the instantaneous speed deviation and acceleration of the superconducting generator and on a set of simple control rules. A new approach is proposed to generate the control rules, and thus increase the effectiveness of the fuzzy logic stabilizer. A genetic algorithm is used to search for optimal settings of the fuzzy stabilizer parameters. Simulation results, compared with those using a conventional stabilizer, show a significant improvement in the system performance over a range of operating conditions
Keywords :
control system analysis; control system synthesis; electric generators; fuzzy control; genetic algorithms; machine control; machine theory; machine windings; optimal control; stability; superconducting machines; control design; control simulation; dynamic stability; electro-hydraulic governors; fuzzy logic stabilizer; generator acceleration; genetic algorithm-aided design; instantaneous speed deviation; operating conditions; power system disturbance; superconducting field winding; superconducting generator; transient stability; Acceleration; Algorithm design and analysis; Fuzzy logic; Fuzzy sets; Genetic algorithms; Signal generators; Stability; Superconducting logic circuits; System performance; Turbines;
Journal_Title :
Power Systems, IEEE Transactions on