The Ripple Correlation Optimal Point Determination in a Medium Power Wind Conversion System and Performance Evaluation with Respect to Conventional Algorithms

  • Hassan Abouobaida
  • Said EL Beid
Part of the Green Energy and Technology book series (GREEN)


This paper deals with the application of the method called ripple correlation speed (RCS) in a power wind conversion system (PWCS) based a permanent magnet synchronous generator (PMSG). This method is widely used in photovoltaic systems for optimal maximum power point determination. The contribution of this work is the use of two electrical sensors instead of mechanical sensors in order to find the maximum power point (MPP). This method is justified by a ratio of proportionality between the mechanical speed of the (PMSG) generator and the output voltage of the three-phase rectifier. The reading of the power curve as a function of the output voltage of the three-phase rectifier showed that the optimum point has a maximum according to the wind speed. The desired point is characterized by a determined voltage. This observation allows to apply the ripple correlation between power and voltage at the output of the three-phase rectifier. The (PMSG) generator associated with the three-phase diode rectifier is considered as a continuous source whose voltage is dependent on the wind speed and hence the mechanical speed of the generator. This paper uses a power conversion structure based on a synchronous generator, a three-phase rectifier and a boost converter. The choice of this structure is justified by the reliability, simplicity of implementation and control. The boost converter ensures maximum power point tracking. The control duty cycle of the boost converter is determined by the ripple correlation of the input voltage and power of the Boost converter. This paper discusses the performance evaluation of a MPPT method called RCS (ripple correlation speed) in comparison with the conventional methods. To achieve this objective, four criteria are chosen: speed convergence, need of mechanical sensors, accuracy and dependence of the previous position. The main features presented in this paper are as follows: (a) modeling the power wind conversion system, (b) presenting and detailing the conventional MPPT method (c) detailing the proposed (MPPT), (d) presenting simulation results, (e) conducting a discussion and evaluation performance of the proposed method and comparison with conventional methods.




  1. Abouobaida, H., EL Khayat, M., & Cherkaoui, M. (2014). Combination of RCC MPPT and Backstepping controler to design a standard continuous source (12V–24V) supplied by a PV panels. Journal of Electrical Engineering, 14(3), 364–371.Google Scholar
  2. Almozayen, M. A., El-Nemr, M. K., Rashad, E. M., & Shobair., A. I. (2016). Finite-element-based design of axial field PMSG for wind energy conversion with MPPT control. In 18th International Middle East Power Systems Conference (MEPCON) (pp. 610–616).Google Scholar
  3. Asri, A., Mihoub, Y., Hassaine, S., & Allaoui, T. (2017). Intelligent maximum power tracking control of PMSG wind energy conversion system. In 5th International Conference on Electrical Engineering – Boumerdes (ICEE-B), Algeria (pp. 1–6).Google Scholar
  4. Ayadi, M., Naifar, O., & Derbel, N. (2017). Sensorless control with an adaptive sliding mode observer for wind PMSG systems. In 14th International Multi-conference on Systems, Signals & Devices (SSD), Morocco (pp. 33–37).Google Scholar
  5. Ben Ali, R., Schulte, H., & Mami, A. (2017). Modeling and simulation of a small wind turbine system based on PMSG generator. In Evolving and Adaptive Intelligent Systems (EAIS), Ljubljana (pp. 1–6).Google Scholar
  6. Biweta, M., & Mamo, M. (2017). Closed loop control strategy of back to back PWM converter fed by PMSG using PLECS toolbox on Matlab∕Simulink for wind energy application. In IEEE AFRICON, Cape Town (pp. 1313–1318).Google Scholar
  7. Blaabjerg, F., Liserre, M., & Ma, K. (2011). Power electronics converters for wind turbine systems. Energy Conversion Congress Exposit (ECCE), Arizona (pp. 281–90).Google Scholar
  8. Dalala, Z. M., Zahid, Z. U., Yu, W., Cho, Y., & Lai, J. S. (2013). Design and analysis of an MPPT technique for small-scale wind energy conversion systems. IEEE Transaction on Energy Conversion, 28, 756–767.CrossRefGoogle Scholar
  9. Djagarov, N., Djagarova, J., Grozdev, Z., Bonev, M., Pazderin, A., & Kokin, S. (2016). PI vector control study for wind PMSG. In IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), Italy (pp. 1–6).Google Scholar
  10. Fantino, R., Solsona, J., & Busada, C. (2015). Mechanical sensorless controller for a small size PMSG-based wind energy conversion system. In XVI Workshop on Information Processing and Control (RPIC), Cordoba (pp. 1–6).Google Scholar
  11. Koch, G., Gabbi, T., Henz, G., Vieira, R. P., & Pinheiro, H. (2015). Sensorless technique applied to PMSG of WECS using sliding mode observer. In IEEE 13th Brazilian Power Electronics Conference and 1st Southern Power Electronics Conference (COBEP/SPEC) (pp. 1–6).Google Scholar
  12. Kot, R., Rolak, M., & Malinowski, M. (2013). Comparison of maximum peak power tracking algorithms for a small wind turbine. Mathematics and Computers in Simulation, 91, 29–40.MathSciNetCrossRefGoogle Scholar
  13. Lahfaoui, B., Zouggar, S., Elhafyani, M. L., Seddik, M., Kadda, F. Z. (2014). Experimental modeling and control of a small wind PMSG turbine. In International Renewable and Sustainable Energy Conference (IRSEC), Ouarzazate (pp. 802–807).Google Scholar
  14. Lahfaoui, B., Zouggar, S., Elhafyani, M. L., & Seddik, M. (2015a). Experimental study of P&O MPPT control for wind PMSG turbine. 3rd International Renewable and Sustainable Energy Conference (IRSEC), Marrakech-Ouarzazate (pp. 1–6).Google Scholar
  15. Lahfaoui, B., Zouggar, S., Elhafyani, M. L., Seddik, M., & Benslimane, A. (2015b). Modeling validation and MPPT technique of small wind PMSG turbines using DSPACE hardware. In 3rd International Renewable and Sustainable Energy Conference (IRSEC), Marrakech-Ouarzazate (pp. 1–6).Google Scholar
  16. Laraa, D., Merinoa, G., & Salazarb, L. (2015). Power converter with maximum power point tracking, MPPT for small wind-electric pumping systems. In Energy Convers Manage (pp. 53–62).CrossRefGoogle Scholar
  17. Marmouh, S., & Boutoubat, M., Mokrani, L. (2016). MPPT fuzzy logic controller of a wind energy conversion system based on a PMSG. In 8th International Conference on Modelling, Identification and Control (ICMIC), Algeria (pp. 296–302).Google Scholar
  18. Pena, J. C. U., de Brito, M. A. G., e Melo, G. de A., & Canesin, C. A. (2011). A comparative study of MPPT strategies and a novel single phase integrated buck-boost inverter for small wind energy conversion systems. In XI Brazilian Power Electronics Conference (pp. 458–465).Google Scholar
  19. Sahin, P., Resmi, R., & Vanitha, V. (2016). PMSG based standalone wind electric conversion system with MPPT. In International Conference on Emerging Technological Trends (ICETT), Kollam (pp. 1–5).Google Scholar
  20. Saihi, L., & Boutera, A. (2016). Robust control of a variable-speed wind turbine with fixed pitch angle and strategy MPPT control associated on a PMSG. In 8th International Conference on Modelling, Identification and Control (ICMIC), Algeria (pp. 326–331).Google Scholar
  21. Sarkar, J.,& Khule, S. S. (2016). A study of MPPT schemes in PMSG based wind turbine system. In International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai (pp. 100–105).Google Scholar
  22. Shirazi, M., Hooshmand Viki, A., & Babayi, O. (2009). A comparative study of maximum Power extraction strategies in PMSG wind turbine system. In IEEE Electrical Power & Energy Conference (EPEC), Montreal (pp. 1–6).Google Scholar
  23. Urtasun, A., Sanchis, P., & Marroyo, L. (2013). Small wind turbines sensorless MPPT: Robustness analysis and lossless approach. In IEEE Energy Conversion Congress and Exposition, Denver (pp. 2420–2427).Google Scholar
  24. Zhang, X., Li, Q., Yin, M., Ye, X., & Zou Y. (2012). An improved hill-climbing searching method based on halt mechanism. In Zhongguo Dianji Gongcheng Xuebao/Proceed Chinese Society of Electrical Engineering, China (pp. 128–34).Google Scholar
  25. Zou, Y., & He, J. (2016). Maximum power point tracking (MPPT) of sensorless PMSG wind power system. In IEEE Energy Conversion Congress and Exposition (ECCE), Milwaukee (pp. 1–6).Google Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Laboratory of Engineering Sciences for Energy, National School of Applied SciencesChouaib-Doukkali UniversityEl JadidaMorocco

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