Optimal Design of PID Controller for Doubly-Fed Induction Generator-Based Wave Energy Conversion System Using Multi-Objective Particle Swarm Optimization

Adel A.A. Elgammal

doi:10.6000/1929-6002.2014.03.01.4

Authors

Adel A.A. Elgammal Utilities Engineering Department, The University of Trinidad & Tobago UTT, Point Lisas Campus, Esperanza Road, Brechin Castle, Couva, Trinidad and Tobago

DOI:

https://doi.org/10.6000/1929-6002.2014.03.01.4

Keywords:

Grid integration, Wave Energy Conversion systems, Doubly-Fed Induction Generator (DFIG), Vector control, Genetic Algorithm GA, Particle Swarm Optimization PSO

Abstract

This paper presents the complete modeling and simulation of Wave Energy Conversion System (WECS) driven doubly-fed induction generator with a closed-loop vector control system. Two Pulse Width Modulated voltage source (PWM) converters for both rotor- and stator-side converters have been connected back to back between the rotor terminals and utility grid via common dc link. The closed-loop vector control system is normally controlled by a set of PID controllers which have an important influence on the system dynamic performance. This paper presents a Multi-objective optimal PID controller design of a doubly-fed induction generator (DFIG) wave energy system connected to the electrical grid using Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). PSO and GA are used to optimize the controller parameters of both the rotor and grid-side converters to improve the transient operation of the DFIG wave energy system under a fault condition as compared with the conventional methods to design PID controllers.

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