Coupled Indirect Torque Control and Maximum Power Point Tracking Technique for Optimal Performance of 12/8 Switched Reluctance Generator-Based Wind Turbines

Abstract

Maximum power point tracking (MPPT) techniques for wind turbines have a significant effect on renewable energy production. Therefore, the association of the indirect torque control of the switched reluctance generator (SRG) with the wind turbine considering the MPPT technique has been developed in this work. The proposed strategy has a great impact on the production of renewable energy using an SRG machine. The main steps to achieve the object of this work are: First, the wind turbine was modeled and simulated according to the MPPT. In the second step, the indirect torque control strategy, based on the hysteresis current control for SRG 12/8, was realized. This was undertaken using a proportional integral regulator and the hysteresis controller for the torque in order to obtain the appropriate switching based on an asymmetric bridge converter. Moreover, the SRG has high nonlinear characteristics. Thus, the modeling results of this kind of machine are obtained by the use of the finite element method, with its dynamic study performed by the unique estimation of the electromagnetic torque in its generator mode functioning. Finally, the indirect torque control technique of the SRG has also been associated with the MPPT technique to maximize the efficiency power coefficient. The obtained results approve and validate the efficiency of a proposed MPPT of the wind turbine associated with the SRG. This illustrates, simultaneously, the remarkable effects of the turn-switching angles on the operating performances and the high quality of the produced energy. The importance of the effect of varying the turn-switching angles is also presented and discussed.

Fuzzy Super-Twisting Sliding Mode Controller for Switched Reluctance Wind Power Generator in Low-Voltage DC Microgrid Applications

“…The integration of these strategies aims to capitalize on their unique characteristics across specific speed ranges, aiming for outcomes such as reduced torque ripple, enhanced efficiency, and an elevated current torque ratio [22]. In [23], the authors developed an DITC and a maximum power point tracking technique for a 12/8 switched reluctance generator-based wind turbine in order to optimize the overall performance. Several research studies have employed methodologies to improve the efficiency of SRGs through the optimization of algorithms and parameters.…”

Design, Modelling and Optimization of a High Power Density Axial Flux SRM with Reduced Torque Ripple for Electric Vehicles

“…A rare earth-free structure, wide power-speed range, simple structure and high durability are among the advantages of SRMs [1,2]. Consequently, SRMs have been designed to be used in a wide range of applications, namely, electric vehicles [3], electric bikes [4], electric aircraft [5], and wind turbines [6]. However, low power density and high torque ripple are serious drawbacks of this topology [7,8].…”

Hybrid MPPT Control: P&O and Neural Network for Wind Energy Conversion System

“…In [37] the authors described the power signal feedback (PSF), an indirect technique for maximizing the output power of a PMSG generator by determining the reference power for a particular wind speed. However, the mentioned indirect approaches have problems with their reliance on the climate and their need for knowledge of the characteristics of the wind turbine [38][39][40][41][42][43]. As opposed to indirect methods, the usage of direct methods no longer requires information about the characteristics of the wind turbine [44].…”