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Maximum power tracking in WECS (Wind energy conversion systems) via numerical and stochastic approaches

Author

Listed:
  • Elnaggar, M.
  • Abdel Fattah, H.A.
  • Elshafei, A.L.

Abstract

This paper presents a complete design of a two-level control system to capture maximum power in wind energy conversion systems. The upper level of the proposed control system adopts a modified line search optimization algorithm to determine a setpoint for the wind turbine speed. The calculated speed setpoint corresponds to the maximum power point at given operating conditions. The speed setpoint is fed to a generalized predictive controller at the lower level of the control system. A different formulation, that treats the aerodynamic torque as a disturbance, is postulated to derive the control law. The objective is to accurately track the setpoint while keeping the control action free from unacceptably fast or frequent variations. Simulation results based on a realistic model of a 1.5 MW wind turbine confirm the superiority of the proposed control scheme to the conventional ones.

Suggested Citation

  • Elnaggar, M. & Abdel Fattah, H.A. & Elshafei, A.L., 2014. "Maximum power tracking in WECS (Wind energy conversion systems) via numerical and stochastic approaches," Energy, Elsevier, vol. 74(C), pages 651-661.
    • Handle: RePEc:eee:energy:v:74:y:2014:i:c:p:651-661
    DOI: 10.1016/j.energy.2014.07.031
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    References listed on IDEAS

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    1. Hassan, H.M. & ElShafei, A.L. & Farag, W.A. & Saad, M.S., 2012. "A robust LMI-based pitch controller for large wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 63-71.
    2. Tanaka, T. & Toumiya, T. & Suzuki, T., 1997. "Output control by hill-climbing method for a small scale wind power generating system," Renewable Energy, Elsevier, vol. 12(4), pages 387-400.
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    Cited by:

    1. Lasheen, Ahmed & Saad, Mohamed S. & Emara, Hassan M. & Elshafei, Abdel Latif, 2017. "Continuous-time tube-based explicit model predictive control for collective pitching of wind turbines," Energy, Elsevier, vol. 118(C), pages 1222-1233.
    2. Fan, YaJun & Mu, AnLe & Ma, Tao, 2016. "Modeling and control of a hybrid wind-tidal turbine with hydraulic accumulator," Energy, Elsevier, vol. 112(C), pages 188-199.
    3. Fathabadi, Hassan, 2016. "Novel highly accurate universal maximum power point tracker for maximum power extraction from hybrid fuel cell/photovoltaic/wind power generation systems," Energy, Elsevier, vol. 116(P1), pages 402-416.
    4. Fathabadi, Hassan, 2016. "Novel high-efficient unified maximum power point tracking controller for hybrid fuel cell/wind systems," Applied Energy, Elsevier, vol. 183(C), pages 1498-1510.
    5. Fantino, Roberto & Solsona, Jorge & Busada, Claudio, 2016. "Nonlinear observer-based control for PMSG wind turbine," Energy, Elsevier, vol. 113(C), pages 248-257.
    6. Fathabadi, Hassan, 2016. "Maximum mechanical power extraction from wind turbines using novel proposed high accuracy single-sensor-based maximum power point tracking technique," Energy, Elsevier, vol. 113(C), pages 1219-1230.

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