scholarly journals Optimization Control of Front-End Speed Regulation (FESR) Wind Turbine Based on Improved NSGA-II

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 45583-45593 ◽  
Author(s):  
Li Xiaoqing ◽  
Dong Haiying ◽  
Li Hongwei ◽  
Li Mingxue ◽  
Sun Zhiqiang
Keyword(s):  
Wind Turbine ◽  
Nsga Ii ◽  
Speed Regulation ◽  
Front End ◽  
Optimization Control

Dynamic Modeling and Controller Design for a Novel Front-End Speed Regulation (FESR) Wind Turbine

2018 ◽  
Vol 33 (5) ◽  
pp. 4073-4087 ◽  
Author(s):  
Dan-Yong Li ◽  
Wen-Chuan Cai ◽  
Peng Li ◽  
Shan Xue ◽  
Yong-Duan Song ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Dynamic Modeling ◽  
Controller Design ◽  
Speed Regulation ◽  
Front End

Multi-objective structural optimization of a wind turbine blade using NSGA-II algorithm and FSI

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ramazan Özkan ◽  
Mustafa Serdar Genç
Keyword(s):  
Structural Optimization ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Design Parameters ◽  
Aerodynamic Optimization ◽  
Nsga Ii ◽  
Content Type ◽  
Multi Objective ◽  
Optimization Study

Purpose Wind turbines are one of the best candidates to solve the problem of increasing energy demand in the world. The aim of this paper is to apply a multi-objective structural optimization study to a Phase II wind turbine blade produced by the National Renewable Energy Laboratory to obtain a more efficient small-scale wind turbine. Design/methodology/approach To solve this structural optimization problem, a new Non-Dominated Sorting Genetic Algorithm (NSGA-II) was performed. In the optimization study, the objective function was on minimization of mass and cost of the blade, and design parameters were composite material type and spar cap layer number. Design constraints were deformation, strain, stress, natural frequency and failure criteria. ANSYS Composite PrepPost (ACP) module was used to model the composite materials of the blade. Moreover, fluid–structure interaction (FSI) model in ANSYS was used to carry out flow and structural analysis on the blade. Findings As a result, a new original blade was designed using the multi-objective structural optimization study which has been adapted for aerodynamic optimization, the NSGA-II algorithm and FSI. The mass of three selected optimized blades using carbon composite decreased as much as 6.6%, 11.9% and 14.3%, respectively, while their costs increased by 23.1%, 29.9% and 38.3%. This multi-objective structural optimization-based study indicates that the composite configuration of the blade could be altered to reach the desired weight and cost for production. Originality/value ACP module is a novel and advanced composite modeling technique. This study is a novel study to present the NSGA-II algorithm, which has been adapted for aerodynamic optimization, together with the FSI. Unlike other studies, complex composite layup, fiber directions and layer orientations were defined by using the ACP module, and the composite blade analyzed both aerodynamic pressure and structural design using ACP and FSI modules together.

scholarly journals On Variable-Universe Fuzzy Control for Drive Chain of Front-End Speed Regulated Wind Generator

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Hongwei Li ◽  
Kaide Ren ◽  
Haiying Dong ◽  
Shuaibing Li
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Fuzzy Controller ◽  
Synchronous Generator ◽  
Variable Universe ◽  
Neural Network Controller ◽  
Front End ◽  
Network Controller ◽  
Drive Chain

The rapid development of wind generation technology has boosted types of the new topology wind turbines. Among the recently invented new wind turbines, the front-end speed regulated (FSR) wind turbine has attracted a lot of attention. Unlike conventional wind turbine, the speed regulation of the FSR machines is realized by adjusting the guide vane angle of a hydraulic torque converter, which is converterless and much more grid-friendly as the electrically excited synchronous generator (EESG) is also adopted. Therefore, the drive chain control of the wind turbine owns the top priority. To ensure that the FSR wind turbine performs as a general synchronous generator, this paper firstly modeled the drive chain and then proposed to use the variable-universe fuzzy approach for the drive chain control. It helps the wind generator operate in a synchronous speed and outperform other types of wind turbines. The multipopulation genetic algorithm (MPGA) is adopted to intelligently optimize the parameters of the expansion factor of the designed variable-universe fuzzy controller (VUFC). The optimized VUFC is applied to the speed control of the drive chain of the FSR wind turbine, which effectively solves the contradiction between the low precision of the fuzzy controller and the number of rules in the fuzzy control and the control accuracy. Finally, the main shaft speed of the FSR wind turbine can reach a steady-state value around 1500 rpm. The response time of the results derived using VUFC, compared with that derived from a neural network controller, is only less than 0.5 second and there is no overshoot. The case study with the real machine parameter verifies the effectiveness of the proposal and results compared with conventional neural network controller, proving its outperformance.

The design and analysis of wind turbine based on differential speed regulation

2015 ◽  
Vol 230 (2) ◽  
pp. 221-229 ◽  
Author(s):  
Rui Su ◽  
Xiaoming Rui ◽  
Xin Wu ◽  
Qidong Yin
Keyword(s):  
Wind Turbine ◽  
Frequency Converter ◽  
Synchronous Generator ◽  
Input Power ◽  
Gear Train ◽  
Critical Conditions ◽  
Parameter Determination ◽  
Simulink Model ◽  
Speed Regulation ◽  
Differential Speed

Aiming problems arising from the wind turbine with the frequency converter, this paper proposes a design for wind turbine based on differential speed regulation. The dynamic characteristics and parameter determination method of the structural components including differential gear train and speed regulating motor (SRM) were studied and the dynamic characteristic expression were obtained. The critical conditions about input power or output power for ring gear driven by SRM were researched. The way to determine the optimal structure parameters of SRM was put forward. The minimum peak power of SRM was regarded as the objective function while the transmission ratios of three gear sets which were placed in the different positions of overall structure scheme was optimized. A SIMULINK model of 1.5 MW wind turbine based on differential speed regulation was built and ran. The rotational speed, torque and power of the wind rotor, the SRM and the synchronous generator were obtained respectively. The simulation results can verify effectiveness of the theoretical analysis and parameter configuration.

Full-State Feedback Control of a Variable-Speed Wind Turbine: A Comparison of Periodic and Constant Gains

2001 ◽  
Vol 123 (4) ◽  
pp. 319-326 ◽  
Author(s):  
Karl Stol ◽  
Mark Balas
Keyword(s):  
Wind Turbine ◽  
Degrees Of Freedom ◽  
State Feedback ◽  
State Feedback Control ◽  
Variable Speed ◽  
Horizontal Axis Wind Turbine ◽  
Speed Regulation ◽  
Significant Difference ◽  
Full State ◽  
Full State Feedback

An investigation of the performance of a model-based periodic gain controller is presented for a two-bladed, variable-speed, horizontal-axis wind turbine. Performance is based on speed regulation using full-span collective blade pitch. The turbine is modeled with five degrees-of-freedom; tower fore-aft bending, nacelle yaw, rotor position, and flapwise bending of each blade. An attempt is made to quantify what model degrees-of-freedom make the system most periodic, using Floquet modal properties. This justifies the inclusion of yaw motion in the model. Optimal control ideas are adopted in the design of both periodic and constant gain full-state feedback controllers, based on a linearized periodic model. Upon comparison, no significant difference in performance is observed between the two types of control in speed regulation.

Disturbance Observer-Based Pitch Control of Wind Turbines for Enhanced Speed Regulation

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Yuan Yuan ◽  
X. Chen ◽  
J. Tang
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Disturbance Observer ◽  
Low Frequency ◽  
Time Varying ◽  
Control Loop ◽  
Wind Speeds ◽  
Speed Regulation ◽  
Guaranteed Stability ◽  
Linearized Model

Time-varying unknown wind disturbances influence significantly the dynamics of wind turbines. In this research, we formulate a disturbance observer (DOB) structure that is added to a proportional-integral-derivative (PID) feedback controller, aiming at asymptotically rejecting disturbances to wind turbines at above-rated wind speeds. Specifically, our objective is to maintain a constant output power and achieve better generator speed regulation when a wind turbine is operated under time-varying and turbulent wind conditions. The fundamental idea of DOB control is to conduct internal model-based observation and cancelation of disturbances directly using an inner feedback control loop. While the outer-loop PID controller provides the basic capability of suppressing disturbance effects with guaranteed stability, the inner-loop disturbance observer is designed to yield further disturbance rejection in the low frequency region. The DOB controller can be built as an on–off loop, that is, independent of the original control loop, which makes it easy to be implemented and validated in existing wind turbines. The proposed algorithm is applied to both linearized and nonlinear National Renewable Energy Laboratory (NREL) offshore 5-MW baseline wind turbine models. In order to deal with the mismatch between the linearized model and the nonlinear turbine, an extra compensator is proposed to enhance the robustness of augmented controller. The application of the augmented DOB pitch controller demonstrates enhanced power and speed regulations in the above-rated region for both linearized and nonlinear plant models.

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