Quantification of over-speed risk in wind turbine fleets

Mcmillan, David and Ault, Graham (2011) Quantification of over-speed risk in wind turbine fleets. IEEE Transactions on Sustainable Energy, 2 (4). 487 - 494. ISSN 1949-3029

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      Abstract

      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.

      Creators(s): Mcmillan, David ORCID logoORCID: https://orcid.org/0000-0003-3030-4702 and Ault, Graham ORCID logoORCID: https://orcid.org/0000-0001-6369-4300;
      Item type:Article
      ID code:30554
      Keywords:wind turbine, over speed, risk, Markov Chain, Electrical engineering. Electronics Nuclear engineering, Hydraulic engineering. Ocean engineering, Technology, Renewable Energy, Sustainability and the Environment
      Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
      Technology > Hydraulic engineering. Ocean engineering
      Technology
      Department:Faculty of Engineering > Electronic and Electrical Engineering
      Depositing user: Pure Administrator
      Date deposited:13 Dec 2011 09:50
      Last modified:26 Sep 2020 03:04
      URI:https://strathprints.strath.ac.uk/id/eprint/30554
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