A method to assess the performance of small wind turbines

W. G. Früh*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


While large wind farms are well monitored, with a wealth of data provided through a SCADA system, the only information about the behaviour of small wind turbines is often only through the metered electricity production. Given the variable electricity output, it is difficult to ascertain whether a particular electricity production in a metering period is the result of the turbine operating normally, or if a fault is resulting in a production less than possible. This paper presents a method to correlate metered electricity output from a set of 5 kW wind turbines with weather information from a weather station some distance from the turbine. That correlation will then be classified into ‘expected’ and ‘unusual’ performance using Principal Component Analysis.

Original languageEnglish
Pages (from-to)644-649
Number of pages6
JournalRenewable Energy and Power Quality Journal
Publication statusPublished - Jul 2023
Event21st International Conference on Renewable Energies and Power Quality 2023 - Madrid, Spain
Duration: 24 May 202326 May 2023


  • Performance Assessment
  • Principal Component Analysis
  • Small Wind Turbines

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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