A Comparison Study between Two MPPT Control Methods for a Large Variable-Speed Wind Turbine under Different Wind Speed Characteristics

Abstract

Abstract:Variable speed wind turbines (VSWTs) usually adopt a maximum power point tracking (MPPT) method to optimize energy capture performance. Nevertheless, obtained performance offered by different MPPT methods may be affected by the impact of wind turbine (WT)'s inertia and wind speed characteristics and it needs to be clarified. In this paper, the tip speed ratio (TSR) and optimal torque (OT) methods are investigated in terms of their performance under different wind speed characteristics on a 1.5 MW wind turbine model. To this end, the TSR control method based on an effective wind speed estimator and the OT control method are firstly presented. Then, their performance is investigated and compared through simulation test results under different wind speeds using Bladed software. Comparison results show that the TSR control method can capture slightly more wind energy at the cost of high component loads than the other one under all wind conditions. Furthermore, it is found that both control methods present similar trends of power reduction that is relevant to mean wind speed and turbulence intensity. From the obtained results, we demonstrate that, to further improve MPPT capability of large VSWTs, other advanced control methods using wind speed prediction information need to be addressed.

Optimal DTC Control Strategy of DFIG Using Variable Gain PI and Hysteresis Controllers Adjusted by PSO Algorithm

“…Several MPPT control strategies have been proposed in the literature [13][14][15][16]. The MPPT employed in this study relies on the Tip Speed Ratio (TSR) control, which regulates the rotor speed, while keeping the TSR at its optimum value to capture the maximum wind power, at this value, C p λ β , ( ) is equal to its maximum value that is C p max achieved for β = 0 [13][14][15][16][17] according to Eq. 2:…”

Optimal torque maximum power point technique for wind turbine: Proportional–integral controller tuning based on particle swarm optimization

“…These last algorithms have almost the same strategy of which PSF is based on the generator’s speed-power interrogation method in order to calculate the optimal power while OT produces the optimal torque by means of a conventional control. By comparison in the search (Song et al, 2017), the PSF algorithm may be slightly lower than the Optimal Torque (OT) algorithm. To further improve OT performance, work was discussed such as the example of adding an anticipation term to facilitate acceleration or deceleration (Johnson et al, 2004).…”

A novel optimum tip speed ratio control of low speed wind turbine generator based on type-2 fuzzy system

“…Generally, MPPT systems consists of the MPPT algorithm and the speed controllers. Several MPPT algorithms have been developed, such as optimum torque, optimum TSR, perturbation and observation and MPPT based on artificial intelligence [8][9][10][11][12][13][14][15][16]. MPPT based on the optimum TSR is proposed, because more accurate than other algorithms.…”