Design of supplementary controller for HVDC using Memetic Algorithm with population management

This paper investigates the ability of Memetic Algorithm with population management (MAPM) in designing supplementary controller of High Voltage Direct Current (HVDC) link to damp the power system oscillations. 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 s-plane as far as possible. Also, the Memetic Algorithm without population management (MA) and Real Genetic Algorithm (RGA) is used to design a supplementary controller for HVDC. The characteristic convergence and time simulation results show that MA and MAPM algorithms have good capability in solving the problem but MAPM gives better convergence characteristics.