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Fuzzy Logic Control in Hybrid Power Systems

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Computational Intelligence for Modelling and Prediction

Part of the book series: Studies in Computational Intelligence ((SCI,volume 2))

Abstract

In this chapter the dynamic analysis of a hybrid power system, employing diesel and locally available wind and solar energies, is discussed and performed. Diesel engines drive synchronous generators, which are equipped with governors and automatic voltage regulators. Self-excited induction generators are used to convert the mechanical energy of wind turbines into electrical energy, and the value of the terminal capacitors is controlled so as to maintain constant terminal voltage. Solar energy is converted into electrical energy in the PV arrays. To obtain maximum power output from the wind turbines and PV arrays, as wind speed and solar irradiance vary, fuzzy logic control is introduced in the control of various system parameters. To guarantee the performance of the fuzzy controller based on stability and robustness properties, a sliding mode control aspect is incorporated in this study.

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Saman K. Halgamuge Lipo Wang

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Munda, J., Asato, S., Miyagi, H. Fuzzy Logic Control in Hybrid Power Systems. In: K. Halgamuge, S., Wang, L. (eds) Computational Intelligence for Modelling and Prediction. Studies in Computational Intelligence, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10966518_28

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  • DOI: https://doi.org/10.1007/10966518_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26071-4

  • Online ISBN: 978-3-540-32402-7

  • eBook Packages: EngineeringEngineering (R0)

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