Hybrid Swarm Intelligence Approach Based PI Regulator for VSC-HVDC Optimal Parameters

Abstract

The control of high voltage direct current system on voltage source converter VSC-HVDC by using the conventional techniques creates a number of challenges for the system operators, because it is a difficult operation and time consuming. In this paper, a new hybrid swarm intelligence optimization approach based PI regulator is proposed in order to improve the dynamic performance of the VSC-HVDC link. The synergy of Particle Swarm (PSO) and Bacterial Foraging (BFO) Optimization algorithms is investigated in order to determine the optimal PI regulator gains of VSC-HVDC link, which consequently improve the stability of the link after strict faults. The purpose of hybridization is to reduce the convergence time while keeping high precision. Different results are obtained to show the effectiveness of the proposed hybrid swarm implementation in optimal regulator design for VSC-HVDC. MATLAB/Similink simulations are provided to illustrate the performance of the proposed approach under serious perturbations.