Strathprints logo
Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Wind turbine condition assessment through power curve copula modeling

Gill, Simon and Stephen, Bruce and Galloway, Stuart (2012) Wind turbine condition assessment through power curve copula modeling. IEEE Transactions on Sustainable Energy, 3 (1). pp. 94-101. ISSN 1949-3029

[img]
Preview
PDF - Draft Version
Download (1571Kb) | Preview

    Abstract

    Power curves constructed from wind speed and active power output measurements provide an established method of analyzing wind turbine performance. In this paper it is proposed that operational data from wind turbines are used to estimate bivariate probability distribution functions representing the power curve of existing turbines so that deviations from expected behavior can be detected. Owing to the complex form of dependency between active power and wind speed, which no classical parameterized distribution can approximate, the application of empirical copulas is proposed; the statistical theory of copulas allows the distribution form of marginal distributions of wind speed and power to be expressed separately from information about the dependency between them. Copula analysis is discussed in terms of its likely usefulness in wind turbine condition monitoring, particularly in early recognition of incipient faults such as blade degradation, yaw and pitch errors.

    Item type: Article
    ID code: 35904
    Keywords: wind power generation, energy conversion, power generation reliability, Engineering design, Renewable Energy, Sustainability and the Environment
    Subjects: Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department: Faculty of Engineering > Electronic and Electrical Engineering
    Related URLs:
      Depositing user: Pure Administrator
      Date Deposited: 16 Nov 2011 05:15
      Last modified: 29 Mar 2014 00:58
      URI: http://strathprints.strath.ac.uk/id/eprint/35904

      Actions (login required)

      View Item

      Fulltext Downloads: