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Implication of Availability of an Electrical System of a Wind Farm for the Farm’s Output Power Estimation

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Dependability Engineering and Complex Systems (DepCoS-RELCOMEX 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 470))

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Abstract

Availability of an electrical system of a wind farm plays a crucial role among factors affecting the power output of a farm. The availability is determined by an internal collection grid topology and reliability of its components, e.g. generators, inverters, transformers, cables, switch breakers, protective relays, and busbars, to name a few. A wind farm availability’s quantitative measure can be: (i) the probability distribution of combinations of “in operation” states of the farm’s wind turbines and (ii) the expected power to be delivered to the power system. The “in operation” state of a wind turbine involves the availability of the wind turbine and other equipment necessary for the power transfer to the external grid. They can be used for the analysis of the impact of various topologies and the reliability of individual components on the availability. The second kind of analysis may be supported by the importance ranking of the components. The paper presents the approach to formulating the reliability models that is based on Bayesian networks, useful importance measures of the components and the case study that illustrates the approach application.

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Correspondence to Robert Adam Sobolewski .

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© 2016 Springer International Publishing Switzerland

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Sobolewski, R.A. (2016). Implication of Availability of an Electrical System of a Wind Farm for the Farm’s Output Power Estimation. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Dependability Engineering and Complex Systems. DepCoS-RELCOMEX 2016. Advances in Intelligent Systems and Computing, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-39639-2_37

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  • DOI: https://doi.org/10.1007/978-3-319-39639-2_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39638-5

  • Online ISBN: 978-3-319-39639-2

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