Robust Speed Controller for PMSG Wind System Based on Harris Hawks Optimization via Wind Speed Estimation: A Real Case Study

Abstract

Modern wind power systems have recently tended to focus on achieving fast-tracking wind speeds (WSs), high maximum power point tracking (MPPT) efficacy without mechanical sensors, and high performance under uncertain WS together with an effective control system. Therefore, a sensorless MPPT method is introduced, which calculates the actual WS to save system installation costs and boost performance levels. The implemented MPPT method is based on the approximating of the 3-order polynomial to the aerodynamics torque power coefficient. In this study, three-speed control strategies (SCSs) for a gridconnected permanent magnet synchronous wind generator (PMSWG) are examined and assessed. Harris Hawks' algorithm (HHA)-based PI controller (HHA-PIC) is used in place of (the conventional proportionalintegral controller (CPIC), and adaptive fuzzy logic controller (AFLC)) as a speed controller to overcome their drawbacks. To track the generator speed to the desired speed, the HHA-PIC is used. All the CPIC, AFLC, and HHA-PIC have been carefully thought out and constructed to satisfy the speed control loop's responsive performance. Additionally, a comparison of SCSs amongst the categories under investigation is done. The effect of HHA on the functionality of SCS is verified using MATLAB/SIMULINK. To ensure the efficacy and supremacy of the HHA-PIC over the CPIC and AFLC, a wide variety of WSs (step change, ramp, and real fluctuations) are applied. Finally, it can be said that HHA is a crucial remedy for the problems with CPIC and is superior to AFLC.INDEX TERMS Adaptive FLC, efficiency, Harris Hawks' algorithm (HHA), MPPT, PMSG, real wind variations, wind speed estimation.

Optimizing Economic Dispatch with Renewable Energy and Natural Gas Using Fractional-Order Fish Migration Algorithm

“…where the variable P WPr , f w (p WP ) signifies the rated wind power and the PDF of the wind speed. Typically, the PDF of the wind power is modeled using the widely recognized Weibull distribution, which effectively captures the arbitrary occurrence of different wind velocity (v) levels [58,59]. In Figure 3a, the Weibull PDF of the wind velocity statistics is depicted, generated through 8000 Monte Carlo situations that consider the scale and shape factors (represented as α and β).…”

“…The cost factors associated with wind power are presented in Appendix A. The equation describing the power output of wind turbines, which is contingent upon the wind speed, is provided as Equation ( 9) [59]:…”

Improvement of Fault Ride-Through Capability of Grid Connected Wind Turbine Based on a Switched Reluctance Generator Using a Dynamic Voltage Restorer

“…Converter protection is controlled by the voltage of the DC link [29]. This combined control provides feedback that takes the filter-induction voltage drop and transformer into account [30,31]. The Matlab/Simulink platform of the DVR controller is presented in Figure 6.…”

“…Power-system-control applications are better suited for nonlinear controllers like FLC [31]. They can adapt to a wider range of operating situations and are simple to develop and apply.…”

Extended Kalman Filter design for sensorless sliding mode predictive control of induction motors without weighting factor: An experimental investigation

“…Power electronic elements have made significant advancements recently and have the capacity to convert electrical energy. The studies conducted in this area consider several factors involving the topologies, constructions, and functionality of the power switches as well as control systems [13][14][15]. Among the significant occurrences causing the efficiency of the power to degrade, namely, the distortion of the voltage wave (VW), is the existence of harmonics in the electrical system, also known as harmonic contamination.…”