Maximum power point tracking of wind turbine based on optimal power curve detection under variable wind speed

2015 ◽  
Author(s):  
Liuying Li ◽  
Yaxing Ren ◽  
M. Alsumiri ◽  
J. Brindley ◽  
Lin Jiang
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Power Curve ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Optimal Power ◽  
Curve Detection ◽  
Power Point ◽  
Variable Wind

Sensorless intelligent second-order integral sliding mode maximum power point tracking control for wind turbine system based on wind speed estimation

2021 ◽  
pp. 095965182098240
Author(s):  
Leiming Ma ◽  
Lingfei Xiao ◽  
Jianfeng Yang ◽  
Xinhao Huang ◽  
Xiangshuo Meng
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Sliding Mode ◽  
Second Order ◽  
Speed Estimation ◽  
Maximum Power Point ◽  
Integral Sliding Mode ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Aiming at the maximum power point tracking for wind turbine, a sensorless intelligent second-order integral sliding mode control based on wind speed estimation is proposed in this article. The maximum wind energy capture is realized by controlling permanent magnet synchronous motor to adjust the speed of wind turbine. First, an intelligent second-order integral sliding mode control is designed for the speed loop and current loop control, which has fast convergence speed, strong robustness and can effectively reduce chattering. Second, a novel cascade observer based on direct sliding mode observer and extended high-gain observer is used to estimate the rotor speed and position. Besides, combined radial basis function neural network is used to estimate the valid value of wind speed. Both simulation and experiment are implemented, which verify the effectiveness of the proposed strategy under the condition of considering both model uncertainty and external disturbance.

Wind Turbine Power Optimization: Experimental Validation of Extremum Seeking and Perturb/Observe Strategies

2016 ◽  
Author(s):  
Fa Wang ◽  
Laura Wheeler ◽  
Mario Garcia-Sanz
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Extremum Seeking ◽  
Experimental Methodology ◽  
Fast Tracking ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Perturb And Observe ◽  
Power Point ◽  
Variable Wind

This paper presents an experimental methodology to test and validate two Maximum Power Point Tracking (MPPT) strategies on variable speed wind turbines. The first technique of this study is an Extremum Seeking (ES) control strategy which does not require any wind turbine model or wind speed measurements. The analysis shows that its convergence can be quite slow in some cases. For this reason, we improve the ES control with a specific inner-loop that speeds up the convergence of the strategy. Additionally a conventional Perturb and Observe (P&O) algorithm is also implemented for comparison purposes. The proposed ES strategy with an additional inner loop controller shows fast tracking capability and high stability under both constant and variable wind speed in simulations and experiments. Both approaches are verified in Matlab simulations and experiments with a lab-scale wind turbine and a fully instrumented wind tunnel at CWRU-CESC.

scholarly journals Performance Improvement for Small-Scale Wind Turbine System Based on Maximum Power Point Tracking Control

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3938 ◽  
Author(s):  
Ramadoni Syahputra ◽  
Indah Soesanti
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Performance Improvement ◽  
Output Power ◽  
Tracking Control ◽  
Small Scale ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper proposes a strategy for performance improvement of small-scale wind turbine systems using maximum power point tracking control (MPPT). In this study, wind-turbine systems which use permanent magnet synchronous generators and converter devices are modeled in Simulink-Matlab software. In order to increase the power generated, MPPT is used based on the extended perturb and observe (PO) method. This algorithm has the ability to improve the speed of the turbine without oscillation. To analyze the ability of the PO-based MPPT in maximizing output power, performance examination of wind turbine systems in Simulink-Matlab software was conducted. The study is carried out with a 3000 W wind turbine device serving various electrical loads of 50 Ω, 100 Ω, 200 Ω, and 300 Ω, and each ohm varies with a wind speed of 4, 5, 6.5, 7, 8.5, 9, and 10 m/s. The overall turbine system performance found that the maximum increase in system output power occurs when it is loaded with 200 Ω with a wind speed of 6.5 m/s. During this combination of 200 Ω and 6.5 m/s, there are high increments of output power at 135.62% caused by the installation of MPPT controllers, with an average output power increase of 50.77%. The results of this study proved that PO-based MPPT has successfully improved the performance of wind-turbine systems.

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