Nonlinear backstepping control for PMSG wind turbine used on the real wind profile of the Dakhla‐Morocco city

Abstract

Summary This paper deals with a nonlinear control of a wind energy conversion system (WECS) based on a permanent magnet synchronous generator (PMSG) interconnected to the distribution grid. The system connected to the grid is achieved by two IGBT based back‐to‐back converters controlled by pulse width modulation (PWM) and a capacitor as a DC link between them. Firstly, a literature review on the recent studies of nonlinear control in the wind energy field is introduced. Subsequently, a complete description of the wind energy conversion system with its dynamic modeling is presented. The second part of this article focused on the proposed control laws that rely on backstepping control as well as the maximum power point tracking (MPPT) command. The main objective of the control is to optimize the extraction of the wind power in the presence of a real wind profile and to keep the PMSG working properly with the best performance in both static and dynamic modes. The wind profile of this simulation is measured from the Dakhla region in Morocco to test the system robustness against real conditions. The simulation analysis prove the validation of the control strategy using a 2‐MW wind turbine and showed that the backstepping control based on the Lyapunov stability technique offers excellent results in terms of THD rate that does not exceed 0.95%.

Design of a novel hybrid control for permanent magnet synchronous generator–based wind energy conversion system

“…Figure 7(c) and (d) presents that the period of the currents is 20 ms and has the same fixed frequency of 50 Hz as the grid-side voltages. It can be noted from Figure 7(e) and (f) that the harmonic distortion (THD) rates of currents remain below the limit of 5% imposed by the IEEE-519 standard, and THD rate of the proposed controller is 1.22% which is smaller than that of the PI controller (El Mourabit et al, 2020). Meanwhile, THD rates at different time periods are shown in Figure 8, which effectively illustrates that the proposed controller has better regulation performance for the power quality of the PMSGbased-WECS.…”

“…There have been lots of literature studies on the design of B2B converter control for the PMSG-based-WECS. The control strategies range from the conventional proportional–integral (PI) controllers, fuzzy logic controllers (FLC), sliding mode controllers (SMC), and backstepping controllers to the hybrid evolution of these controllers, such as proportional integral-fuzzy logic controllers, proportional integral-sliding mode controllers or fuzzy logic controllers-sliding mode controllers (El Mourabit et al, 2020; Errouissi and Al-Durra., 2018; Li et al, 2012; Mansour et al, 2020; Matraji et al, 2018; Rocha-Osorio et al, 2019; Tahir et al, 2018). These control strategies still have the disadvantage of difficulty in adjustment, rule determination, and optimization.…”

Enhancement of the direct power control by using backstepping approach for a doubly fed induction generator

“…Thus, the correct operation of the DFIG is expressed by the first three terms, in the voltage equations (El Mourabit et al, 2020; Institute of Electrical and Electronics Engineers, 1981). Contrariwise, the last three terms model the variation of flux during the fault of the electrical grid.…”

Anovel power management strategies inPV‐wind‐based grid connected hybrid renewable energy system using proportional distribution algorithm

“…The PV controller controls the PV source using any MPPT strategy already known 22‐25 . The wind farm controller controls the wind turbines using the proportional repartition of the powers 17 or can use any other algorithms available in the literature 26‐29 . Each wind turbine control system contains a level of slow dynamic control (power control) and a level of fast dynamic control (generator current control).…”