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Fuzzy Logic in Wind Energy

Fuzzy Logic in Wind Energy

Imanol López Goiti
Copyright: © 2017 |Pages: 26
ISBN13: 9781522516712|ISBN10: 1522516719|EISBN13: 9781522516729
DOI: 10.4018/978-1-5225-1671-2.ch015
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MLA

Goiti, Imanol López. "Fuzzy Logic in Wind Energy." Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 519-544. https://doi.org/10.4018/978-1-5225-1671-2.ch015

APA

Goiti, I. L. (2017). Fuzzy Logic in Wind Energy. In I. Management Association (Ed.), Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications (pp. 519-544). IGI Global. https://doi.org/10.4018/978-1-5225-1671-2.ch015

Chicago

Goiti, Imanol López. "Fuzzy Logic in Wind Energy." In Renewable and Alternative Energy: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 519-544. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1671-2.ch015

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Abstract

The use of wind energy for power generation purposes plays a major role in the current electrical market and is becoming increasingly attractive. The good exploitation of this kind of energy may improve the power generation capabilities and therefore reduce generation costs. Fuzzy Logic methodology can be used to improve the current technology. In this chapter, Fuzzy Logic is proposed as a technique that assesses wind sites and predicts annual generation for wind turbines. Moreover, it is also proposed to maximize the power search and control the power electronic converter of the wind turbine. Fuzzy Logic should be considered as a real alternative to the typical methods for the exploitation of wind energy. It can improve wind power generation with high performance and efficiency.

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