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
[PDF]
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.
