Quantification of over-speed risk in wind turbine fleets

David Mcmillan, Graham Ault

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
216 Downloads (Pure)


The effective life management of large and diverse fleets of wind turbines is a new problem facing power system utilities. More specifically, the minimization of over-speed risk is of high importance due to the related impacts of possible loss of life and economic implications of over-speed, such as a loss of containment event. Meeting the goal of risk minimization is complicated by the large range of turbine types present in a
typical fleet. These turbines may have different pitch systems, over-speed detection systems and also different levels of functional redundancy, implying different levels of risk. The purpose of this work is to carry out a quantitative comparison of over-speed risk in different turbine configurations, using a Markov process to model detection of faults and repair actions. In the medium-long term, the risk associated with different assets can used as a decision making aid. For example if the operator is a utility, it may want to avoid purchasing high risk sites in the future, or may need to develop mitigation strategies for turbines at high risk of over speed.
Original languageEnglish
Pages (from-to)487 - 494
Number of pages8
JournalIEEE Transactions on Sustainable Energy
Issue number4
Early online date21 Apr 2011
Publication statusPublished - Oct 2011


  • wind turbine
  • over speed
  • risk
  • Markov Chain


Dive into the research topics of 'Quantification of over-speed risk in wind turbine fleets'. Together they form a unique fingerprint.

Cite this