article · Energy Reports
Electricity generation from renewable sources requires high power quality. A new control strategy has been designed to enhance the performance of variable speed wind energy conversion systems using a 1.5 megawatt permanent magnet synchronous generator and back-to-back power converters. The strategy pairs fuzzy field oriented control for the machine-side converter with direct power control for the grid-side converter. This configuration uses a relatively low sampling frequency of five kilohertz to estimate active and reactive power sent to the grid. Simulation testing demonstrates that this combined control scheme ensures high stability, robust set-point tracking, and simple implementation with reduced simulation times. The approach delivers a power factor close to unity, balanced currents, and a total harmonic distortion capped at 1.49 percent, outperforming conventional proportional-integral control methods.
Integrating wind energy into national electricity networks demands smooth, stable power that does not disrupt grid operation. By refining how turbine converters regulate electricity, this control approach helps minimize harmonic distortion and ensures a near-unity power factor. This contributes to cleaner, more efficient renewable power delivery that satisfies the strict operational standards set by power grid operators.
This control method could be applied by wind turbine manufacturers and grid-interface converter developers targeting medium-scale variable speed wind systems. Because the findings are currently limited to numerical simulations conducted within MATLAB and Simulink, the technology is at an early research stage and requires experimental validation on physical hardware before commercial deployment.
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The quality of the electrical energy produced from renewable energies is a preponderant need sought by electricity producers. It is in this vision that this present article tries to design a control that combines two control algorithms in order to improve the operation of a variable speed wind energy conversion system (VSWECS). Interestingly, combined control brings together fuzzy field oriented control (FFOC) with direct power control (DPC). The complete conversion chain includes the 1.5 MW permanent magnet synchronous generator (PMSG) and two full-scale mounted back-to-back power converters. Compared to FOC method based on the classical PI regulator, the proposed FFOC scheme is employed to guarantee a better performance between the effect of artificial intelligence (AI) and the simplicity of the standard regulator. This is because the FFOC smart control algorithm is used to control the machine-side-converter (MSC). The DPC control algorithm which uses a relatively low sampling frequency of around 5 kHz is proposed to estimate the active and reactive powers injected into the grid through the grid-side converter (GSC). In addition to the simplicity of implementation and the reduced simulation time, the combination of the FFOC-DPC control algorithm is very reassuring in terms of stability, robustness and tracking of set-points. The overall control scheme is simple to implement and the simulation results clearly show that the proposed control system offers very good performance in terms of total harmonic distortion (THD), which does not exceed 1.49%, a wave of well-balanced injected electric current, and a power factor almost equal to unity. Therefore, the proposed solution is finally compared with other alternatives to validate the results developed by the MATLAB/Simulink platform and consequently guarantee the improvement of the variable speed direct drive WECS.
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DOI: 10.1016/j.egyr.2023.02.012
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