Improving Power System Stability by Designing Supplementary Controller of HVDC Using Real Genetic Algorithm

This paper investigates the ability of Real Genetic Algorithm (RGA) in designing supplementary controller of High Voltage Direct Current (HVDC) link to damp the power system oscillation. A conventional lead-lag structure is considered for the supplementary controller. The aim of the proposed control strategy is to choose the best controller parameters in such a way that the dominant eigenvalues of the closed-loop system are shifted to the left-hand side of splane as far as possible. Also, the binary version of genetic algorithm (BGA) is used to design a supplementary controller for HVDC. The characteristic convergence and time simulation results show that both versions of GA have good capability in solving the problem but RGA gives better results.

کلیدواژه ها:

Real genetic algorithm ، binary genetic algorithm ، power system stability ، dynamic stability ، HVDC