0
Research Papers

Magnus Wind Turbine Emulator With MPPT by Cylinder Rotation Control

[+] Author and Article Information
Leonardo Candido Corrêa

Education, Science, and Technology Federal
Institute of Rio Grande do Sul,
Av. São Vicente, 785, Bairro Cinquentenário,
CEP,
Farroupilha 95180-000, RS, Brazil
e-mail: leonardo.ee@gmail.com

João Manoel Lenz

Federal University of Santa Maria,
Programa de Pós-Graduação em
Engenharia Elétrica,
Av. Roraima n° 1000, Campus Universitário,
Bairro Camobi,
Centro de Tecnologia (CT),
Pavilhão de Laboratórios, Prédio 10, Sala 524,
CEP, Santa Maria 97105-900, RS, Brazil
e-mail: joaomlenz@gmail.com

Cláudia Garrastazu Ribeiro

Sul-Rio-Grandense Education, Science, and
Technology Federal Institute,
Av. Paul Harris, 410, Centro CEP,
Santana do Livramento 97574-360, RS, Brazil
e-mail: claudiagarrastazu@gmail.com

Felix Alberto Farret

Federal University of Santa Maria Programa de
Pós-Graduação em Engenharia Elétrica,
Av. Roraima n° 1000, Campus Universitário,
Bairro Camobi,
Centro de Tecnologia (CT) Pavilhão de
Laboratórios, Prédio 10, Sala 524,
CEP, Santa Maria 97105-900, RS, Brazil
e-mail: fafarret@gmail.com

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received April 19, 2017; final manuscript received May 2, 2018; published online May 28, 2018. Assoc. Editor: Ryozo Nagamune.

J. Dyn. Sys., Meas., Control 140(10), 101012 (May 28, 2018) (7 pages) Paper No: DS-17-1205; doi: 10.1115/1.4040212 History: Received April 19, 2017; Revised May 02, 2018

An emulator for the nonconventional Magnus wind turbine was designed and developed in this study. A brief discussion is made of this special case of horizontal axis wind generator and of the main physics principles involving the Magnus phenomenon. A mathematical model was used to emulate the static behavior of the Magnus wind turbine and a detailed analysis is presented about its peculiar rotating cylinder characteristics. Based on the relationship between cylinder blade rotation and power coefficient, a hill climb search algorithm was developed to perform maximum power point tracking. The impact of the cylinder's rotation speed on the turbine net output power was evaluated. A controlled direct current motor was used to provide torque, based on the Magnus turbine model, and drive a permanent magnet synchronous generator (PMSG); the latter was controlled by a buck converter in order to extract the maximum generated power (MGP). Simulations of the Magnus wind turbine model and its maximum power point tracking (MPPT) control are also presented. A prototype of the proposed emulator was developed and operated by a user-friendly LabVIEW interface. Measurements of the power delivered to the load were acquired for different wind speeds; these results were analyzed and compared with simulated values showing a good behavior of the emulator with respect to the turbine model. The proposed control technique for maximizing the output power was validated by emulated results. The modeling and development of the Magnus turbine emulator also serve to encourage further studies on generation and control with this wind machine.

FIGURES IN THIS ARTICLE
<>
Copyright © 2018 by ASME
Your Session has timed out. Please sign back in to continue.

References

Hu, J. , Huang, Y. , Wang, D. , Yuan, H. , and Yuan, X. , 2015, “ Modeling of Grid-Connected DFIG-Based Wind Turbines for DC-Link Voltage Stability Analysis,” IEEE Trans. Sustainable Energy, 6(4), pp. 1325–1336. [CrossRef]
Wang, D. , Hou, Y. , and Member, S. , 2016, “ Stability of DC-Link Voltage Control for Paralleled DFIG-Based Wind Turbines Connected to Weak AC Grids,” IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, July 17–21, pp. 1–5.
Sahoo, S. K. , Mondal, S. , Kastha, D. , Sinha, A. K. , and Kishore, N. K. , 2016, “ Wind Turbine Emulation Using Doubly Fed Induction Motor,” 21st Century Energy Needs—Materials, Systems and Applications (ICTFCEN), Kharagpur, India, Nov. 17–19.
Busca, C. , Teodorescu, R. , Blaabjerg, F. , Munk-Nielsen, S. , Helle, L. , Abeyasekera, T. , and Rodriguez, P. , 2011, “ An Overview of the Reliability Prediction Related Aspects of High Power IGBTs in Wind Power Applications,” Microelectron. Reliab., 51(9–11), pp. 1903–1907. [CrossRef]
Yan, Z. , Yu, V. , Shaltout, M. L. , Cheong, M. C. , and Chen, D. , 2016, “ Maximizing Wind Energy Capture for Speed-Constrained Wind Turbines During Partial Load Operation,” ASME J. Dyn. Syst. Meas. Control, 138(9), p. 091014. [CrossRef]
Wang, H. , Zhou, D. , and Blaabjerg, F. , 2013, “ A Reliability-Oriented Design Method for Power Electronic Converters,” Twenty-Eighth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), Long Beach, CA, Mar. 17–21, pp. 2921–2928.
Musallam, M. , Yin, C. , Bailey, C. , and Johnson, M. , 2015, “ Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics,” IEEE Trans. Power Electron., 30(5), pp. 2601–2613. [CrossRef]
Ahmed, C. M. , Plathottam, S. J. , and Salehfar, H. , 2016, “ Sub kW Wind Turbine Emulator (WTE),” IEEE International Conference on Electro Information Technology (EIT), Grand Forks, ND, May 19–21, pp. 162–165.
Himani, R. , and Dahiya , 2015, “ Development of Wind Turbine Emulator for Standalone Wind Energy Conversion System,” Second International Conference on Recent Advances in Engineering & Computational Sciences (RAECS), New Delhi, India, Mar. 4–6, pp. 1–6. https://ieeexplore.ieee.org/document/7583999/
Kouadria, S. , Belfedhal, S. , Meslem, Y. , and Berkouk, E. M. , 2013, “ Development of Real Time Wind Turbine Emulator Based on DC Motor Controlled by Hysteresis Regulator,” International Renewable Sustainable Energy Conference (IRSEC), Ouarzazate, Morocco, Mar. 7–9, pp. 246–250.
Ferreira, J. C. , and Rolim, L. G. B. , 2015, “ Wind Turbine Emulator Using an MPPT Controller Based on Neural Networks,” IEEE 13th Brazilian Power Electronics Conference and First Southern Power Electronics Conference (COBEP/SPEC), Fortaleza, Brazil, Nov. 29–Dec. 2, pp. 1–6.
Guerrero, J. M. , Lumbreras, C. , Reigosa, D. D. , Garcia, P. , and Briz, F. , 2017, “ Control and Emulation of Small Wind Turbines Using Torque Estimators,” IEEE Trans. Ind. Appl., 53(5), pp. 4863–4876. [CrossRef]
Bychkov, N. M. , Dovgal, A. V. , and Sorokin, A. M. , 2008, “ Parametric Optimization of the Magnus Wind Turbine,” International Conference Methods Aerophysical Research (ICMAR), Akademgorodok, Novosibirsk, June 30–July 6, p. 5. http://mx.itam.nsc.ru/tmp/Test/5/Bychkov.pdf
Bychkov, N. M. , Dovgal, A. V. , and Kozlov, V. V. , 2007, “ Magnus Wind Turbines as an Alternative to the Blade Ones,” J. Phys. Conf. Ser., 75(75), p. 12004. [CrossRef]
Barbero, A. , García-Matos, J. A. , Cantizano, A. , and Arenas, A. , 2010, “ Numerical Tool for the Optimization of Wind Turbines Based on Magnus Effect,” Ninth World Wind Energy Conference Exhibition (WWEC), Istanbul, Turkey, June 15–17, pp. 1–8.
Luo, D. , Huang, D. , and Wu, G. , 2011, “ Analytical Solution on Magnus Wind Turbine Power Performance Based on the Blade Element Momentum Theory,” J. Renewable Sustainable Energy, 3(3), p. 033104.
García Matos, J. Á. , 2009, “ Estudio y Diseño De Un Aerogenerador Basado En El Efecto Magnus,” Universidad Pontifica Comillas, Madrid, Spain.
Simões, M. G. , and Farret, F. A. , 2014, Modeling and Analysis With Induction Generators, 3rd ed., CRC Press, Boca Raton, FL.
Corrêa, L. C. , Lenz, J. M. , Ribeiro, C. G. , Trapp, J. G. , and Farret, F. A. , 2013, “ MPPT for Magnus Wind Turbines Based on Cylinders Rotation Speed,” Brazilian Power Electronics Conference (COBEP) Gramado, Brazil, Oct. 27–31.
Thongam, J. , and Ouhrouche, M. , 2011, “ MPPT Control Methods in Wind Energy Conversion Systems,” Fundamental and Advanced Topics Wind Power, InTechOpen, Rijeka, Croatia, pp. 339–360.
Wang, Q. , and Chang, L. , 2004, “ An Intelligent Maximum Power Extraction Algorithm for Inverter-Based Variable Speed Wind Turbine Systems,” Power Electron. IEEE Trans., 19(5), pp. 1242–1249. [CrossRef]

Figures

Grahic Jump Location
Fig. 2

Behavior of Magnus turbine power coefficient relative to θ and λ

Grahic Jump Location
Fig. 1

Magnus wind turbine and Magnus effect aerodynamics forces, where V is the wind velocity and ωC the rotational cylinder velocity

Grahic Jump Location
Fig. 3

Diagram with proposed emulator main elements

Grahic Jump Location
Fig. 4

Power and control elements for armature current regulation

Grahic Jump Location
Fig. 5

Closed-loop armature current block diagram

Grahic Jump Location
Fig. 6

Compensated loop frequency response

Grahic Jump Location
Fig. 9

Block diagram of the proposed Magnus WT emulator

Grahic Jump Location
Fig. 8

Flowchart of HCS algorithm

Grahic Jump Location
Fig. 14

Emulating results for various conditions of power and wind speed

Grahic Jump Location
Fig. 10

Direct relation between TSR and cylinder relative speed

Grahic Jump Location
Fig. 11

Turbine power coefficient versus cylinder relative speed

Grahic Jump Location
Fig. 12

Tracking of θ for maximum power coefficient

Grahic Jump Location
Fig. 13

Magnus turbine output power and torque behavior

Grahic Jump Location
Fig. 7

LabVIEW GUI command panel for the whole emulator system

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In