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Optimisation of Wind System Conversion

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Wind Power Electric Systems

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Due to the nonlinear characteristic of the wind turbine, it is difficult to maintain the maximum power output of the wind turbine for all wind speed conditions. In research survey, several methods are used to track the maximum power point of the wind turbine. The most used method are the Hill climb searching or P&O, the Tip Speed Ratio (TSR), Power Signal Feedback (PSF),… The P&O is a popular method due to its simplicity and independence of system characteristics. The TSR direction control method is limited by the difficulty in wind speed and turbine speed measurements. And the PSF method requires the knowledge of the wind turbine’s maximum power curve, and tracks this curve through its control mechanisms. Other advanced methods are used to solve the problem of power maximization. The most used are Sliding Mode Control (SMC), Fuzzy Logic Controller (FLC), Adaptive Fuzzy Logic Controller (AFLC), Particle Swarm Optimization (PSO), Radial Basis Function Network (WRBFM), Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS),…Each method perform with its own proprieties (precision, stability, simplicity, robustness, model,…). Generally, they are used in the design of adaptive and intelligent systems since they are able to solve problems from previous examples.

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Authors and Affiliations

  1. Universite de Bejaia, Bejaia, Algeria

    Djamila Rekioua

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  1. Djamila Rekioua
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Correspondence to Djamila Rekioua .

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© 2014 Springer-Verlag London

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Rekioua, D. (2014). Optimisation of Wind System Conversion. In: Wind Power Electric Systems. Green Energy and Technology. Springer, London. https://doi.org/10.1007/978-1-4471-6425-8_3

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  • DOI: https://doi.org/10.1007/978-1-4471-6425-8_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-6424-1

  • Online ISBN: 978-1-4471-6425-8

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