General Information
    • ISSN: 1793-821X (Print)
    • Abbreviated Title: J. Clean Energy Technol.
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Jennifer Zeng
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Universiti Malaysia Sabah, Malaysia.
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JOCET 2017 Vol.5(6): 480-486 ISSN: 1793-821X
DOI: 10.18178/JOCET.2017.5.6.420

Reliability Analysis of Wind Turbines Considering Constraints and Legislation

Nacef Tazi, Eric Châtelet, and Youcef Bouzidi
Abstract—Onshore wind turbine are subject to more and more regulations and constraints. To reach the optimal installed capacity with maximum reliability and profits, numbers of algorithms have been developed for wind farm power plants. However, according to literature, no exact methods have yet been tested on wind farms using real data and wind based conditions. In this article we develop the recent work that has been done until far on wind turbine power and reliability analysis, and apply an algorithm to find the best topology. The proposed resolution technique is based on finding the best topology of the system under the constraints of Performance (availability), Costs and the Global Warming Potential of the system. A case study is done using data and constraints similar to those collected from wind farm constructors, managers and maintainers. Multi-State Systems (MSS), Universal generating function (UGF), wind and Load charge functions are applied.

Index Terms—Wind turbine, wind function, availability, MSS, UGF, power optimization, wind energy policy, optimization algorithm.

Nacef Tazi and Eric Chatelet are with the ICD-STMR, (UMR CNRS), University of Technology of Troyes, Troyes, France (e-mail: Nacef.tazi@utt.fr; naceftazi@gmail.com).
Youcef Bouzidi is with the ICD-CREIDD, (UMR CNRS), University of Technology of Troyes, Troyes, France

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Cite:Nacef Tazi, Eric Châtelet, and Youcef Bouzidi, "Reliability Analysis of Wind Turbines Considering Constraints and Legislation," Journal of Clean Energy Technologies vol. 5, no. 6, pp. 480-486, 2017.

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