A PARTICLE SWARM OPTIMIZATION APPROACH FOR CONTROLLER DESIGN IN WECS EQUIPPED WITH DFIG

ELECTRICAL & ELECTRONICS ENGINEERING

This paper focuses on the design of optimal PI controller parameters for a Wind Energy Conversion System (WECS) equipped with a Doubly Fed Induction Generator (DFIG). The study is conducted on a MW-scale WECS connected to a distribution network. The variable speed DFIG is typically controlled by a set of PI controllers. However, due to the nonlinearity and complexity of the system, determining the optimal controller parameters can be challenging. In this paper, Particle Swarm Optimization (PSO) is employed to tune the parameters of the rotor-side converter controller of the DFIG. To enhance performance and restrict controller action, an optimization problem is formulated by selecting appropriate objective functions and constraints. The system's performance is evaluated under various conditions, including grid voltage sag due to remote faults, single-phase-to-ground faults, and wind speed changes. A comparison is made between the performance with PI controller parameters and PSO-optimized controller parameters. Simulation results demonstrate the improved transient behaviour of the WECS equipped with DFIG under the specified test conditions. Simulation results were verified through SIMULINK.

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