scholarly journals Energy Efficient Wind Turbine System based on Fuzzy Control Approach

2013 ◽  
Vol 56 ◽  
pp. 637-642 ◽  
Author(s):  
Altab Hossain ◽  
Ramesh Singh ◽  
Imtiaz A. Choudhury ◽  
Abu Bakar
Keyword(s):  
Fuzzy Control ◽  
Wind Turbine ◽  
Energy Efficient ◽  
Control Approach ◽  
Wind Turbine System

scholarly journals Improved Vector Control of a Counter-Rotating Wind Turbine System Using Adaptive Backstepping Sliding Mode

2020 ◽  
Vol 53 (5) ◽  
pp. 645-651
Author(s):  
Adil Yahdou ◽  
Abdelkadir Belhadj Djilali ◽  
Zinelaabidine Boudjema ◽  
Fayçal Mehedi
Keyword(s):  
Wind Turbine ◽  
Vector Control ◽  
Sliding Mode ◽  
Coupling Effect ◽  
Research Work ◽  
Adaptive Backstepping ◽  
Control Approach ◽  
Wind Turbine System ◽  
Dynamic Performances ◽  
Doubly Fed

The vector control (VC) method based on proportional-integral (PI) controllers of a doubly fed induction generator (DFIG) integrated in a counter rotating wind turbine (CRWT) system have many problems, such as low dynamic performances, coupling effect between the d-q axes and weak robustness against variation parametric. In order to resolve these problems, this research work proposes an adaptive backstepping sliding mode (ABSM) controller. The proposed control strategy consists in using dynamic-gains that ensures a better result than a conventional VC method. Stability of the proposed ABSM control approach has been proved by the Lyapunov method. Simulation results depicted in this research paper have confirmed the good usefulness and effectiveness of the proposed ABSM control.

scholarly journals Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System

2019 ◽  
Vol 1276 ◽  
pp. 012001 ◽  
Author(s):  
Abhishek Mungekar ◽  
Kalaichelvi Venkatesan ◽  
Karthikeyan Ramanujam ◽  
Jason Savio Lourence
Keyword(s):  
Wind Turbine ◽  
Intelligent Control ◽  
Power Transmission ◽  
Fluid Power ◽  
Control Approach ◽  
Wind Turbine System

scholarly journals Wake Management in Wind Farms: An Adaptive Control Approach

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1247 ◽  
Author(s):  
Harsh Dhiman ◽  
Dipankar Deb ◽  
Vlad Muresan ◽  
Valentina Balas
Keyword(s):  
Adaptive Control ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Farm ◽  
Transfer Functions ◽  
Wind Farms ◽  
Control Approach ◽  
Wind Turbine System ◽  
Effective Assessment ◽  
Yaw Angle

Advanced wind measuring systems like Light Detection and Ranging (LiDAR) is useful for wake management in wind farms. However, due to uncertainty in estimating the parameters involved, adaptive control of wake center is needed for a wind farm layout. LiDAR is used to track the wake center trajectory so as to perform wake control simulations, and the estimated effective wind speed is used to model wind farms in the form of transfer functions. A wake management strategy is proposed for multi-wind turbine system where the effect of upstream turbines is modeled in form of effective wind speed deficit on a downstream wind turbine. The uncertainties in the wake center model are handled by an adaptive PI controller which steers wake center to desired value. Yaw angle of upstream wind turbines is varied in order to redirect the wake and several performance parameters such as effective wind speed, velocity deficit and effective turbulence are evaluated for an effective assessment of the approach. The major contributions of this manuscript include transfer function based methodology where the wake center is estimated and controlled using LiDAR simulations at the downwind turbine and are validated for a 2-turbine and 5-turbine wind farm layouts.

scholarly journals Application of a Data-Driven Fuzzy Control Design to a Wind Turbine Benchmark Model

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Silvio Simani
Keyword(s):  
Fuzzy Control ◽  
Wind Turbine ◽  
Degrees Of Freedom ◽  
Controller Design ◽  
Algorithm Design ◽  
Control Design ◽  
Experimental Models ◽  
Data Driven ◽  
Fuzzy Modelling ◽  
Control Approach

In general, the modelling of wind turbines is a challenging task, since they are complex dynamic systems, whose aerodynamics are nonlinear and unsteady. Accurate models should contain many degrees of freedom, and their control algorithm design must account for these complexities. However, these algorithms must capture the most important turbine dynamics without being too complex and unwieldy, mainly when they have to be implemented in real-time applications. The first contribution of this work consists of providing an application example of the design and testing through simulations, of a data-driven fuzzy wind turbine control. In particular, the strategy is based on fuzzy modelling and identification approaches to model-based control design. Fuzzy modelling and identification can represent an alternative for developing experimental models of complex systems, directly derived directly from measured input-output data without detailed system assumptions. Regarding the controller design, this paper suggests again a fuzzy control approach for the adjustment of both the wind turbine blade pitch angle and the generator torque. The effectiveness of the proposed strategies is assessed on the data sequences acquired from the considered wind turbine benchmark. Several experiments provide the evidence of the advantages of the proposed regulator with respect to different control methods.

scholarly journals Improving the Strategy of Maintaining Offshore Wind Turbines through Petri Net Modelling

2021 ◽  
Vol 11 (2) ◽  
pp. 574
Author(s):  
Rundong Yan ◽  
Sarah Dunnett
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Petri Net ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Maintenance Costs ◽  
Offshore Wind Turbines ◽  
Major Repair ◽  
Wind Turbine System ◽  
Periodic Maintenance

In order to improve the operation and maintenance (O&M) of offshore wind turbines, a new Petri net (PN)-based offshore wind turbine maintenance model is developed in this paper to simulate the O&M activities in an offshore wind farm. With the aid of the PN model developed, three new potential wind turbine maintenance strategies are studied. They are (1) carrying out periodic maintenance of the wind turbine components at different frequencies according to their specific reliability features; (2) conducting a full inspection of the entire wind turbine system following a major repair; and (3) equipping the wind turbine with a condition monitoring system (CMS) that has powerful fault detection capability. From the research results, it is found that periodic maintenance is essential, but in order to ensure that the turbine is operated economically, this maintenance needs to be carried out at an optimal frequency. Conducting a full inspection of the entire wind turbine system following a major repair enables efficient utilisation of the maintenance resources. If periodic maintenance is performed infrequently, this measure leads to less unexpected shutdowns, lower downtime, and lower maintenance costs. It has been shown that to install the wind turbine with a CMS is helpful to relieve the burden of periodic maintenance. Moreover, the higher the quality of the CMS, the more the downtime and maintenance costs can be reduced. However, the cost of the CMS needs to be considered, as a high cost may make the operation of the offshore wind turbine uneconomical.

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