Optimizing the Control of DFIG Based Wind Turbines Using Sensitivity Analysis and Particle Swarm Optimization Method

Subject Areas : Electrical Control Engineering

Meysam Jaberolansar ¹ (Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Isfahan, Iran)
Mohammad Mahdi Rezaei ² (Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Isfahan, Iran)
Hamed Khodadadi ³ (Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Isfahan, Iran)
Seyed Mohammad Madani ⁴ (Faculty of Electrical Engineering, University of Isfahan, Isfahan, Iran)

Received: 2022-04-30 Accepted : 2022-08-31 Published : 2022-11-22

Keywords: Doubly fed induction generators (DFIG), Wind Turbines, Particle Swarm Optimization (PSO), Optimization, Sensitivity analysis,

Abstract :

One of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of these systems, which makes solving the optimization problem very time-consuming and divergent in some cases. In this article, in order to optimize the control parameters, a method based on particle swarm optimization (PSO) is proposed. In this method, after linearization of the system model, the eigenvalues of the system are extracted as a function of the control parameters. By examining the sensitivity of eigenvalues to control parameters, more sensitive parameters are identified and optimized based on the PSO method. The performance of the proposed method has been investigated through simulation in the MATLAB software environment.

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