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Data-driven estimation of the inertia moment of wind turbines: A new ice-detection algorithm

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Title: Data-driven estimation of the inertia moment of wind turbines: A new ice-detection algorithm
Authors: Stotsky, Alexander, 1960, Egardt, Bo, 1950
Source: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering. 227(6):552-555
Subject Terms: Wind turbine, estimation of the inertia moment, data-driven algorithm, icing and shedding events
Description: Turbine blades accumulate ice under certain atmospheric conditions, such as low temperature and high humidity. This implies additional loads that might damage the turbine. A reliable ice-detection algorithm is required to shut down the turbine and prevent damages. A simple sensorless technique is proposed in this article for detection of both icing and ice shedding events. The technique is based on the estimation of the turbine inertia moment using generator speed measurements, turbine model and robust and fast convergent data-driven algorithms. Estimated inertia moment can be used for both ice detection and adaptation of the parameters of the control system. Implementation of this technique allows a stable turbine operation during hazardous ice conditions via adjustment of the control system parameters or turbine shut down in the extreme icing conditions.
File Description: electronic
Access URL: https://research.chalmers.se/publication/181531
http://dx.doi.org/10.1177/0959651813489279
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  Data: Data-driven estimation of the inertia moment of wind turbines: A new ice-detection algorithm
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  Data: <searchLink fieldCode="AR" term="%22Stotsky%2C+Alexander%22">Stotsky, Alexander</searchLink>, 1960<br /><searchLink fieldCode="AR" term="%22Egardt%2C+Bo%22">Egardt, Bo</searchLink>, 1950
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  Data: <i>Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering</i>. 227(6):552-555
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  Data: <searchLink fieldCode="DE" term="%22Wind+turbine%22">Wind turbine</searchLink><br /><searchLink fieldCode="DE" term="%22estimation+of+the+inertia+moment%22">estimation of the inertia moment</searchLink><br /><searchLink fieldCode="DE" term="%22data-driven+algorithm%22">data-driven algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22icing+and+shedding+events%22">icing and shedding events</searchLink>
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  Label: Description
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  Data: Turbine blades accumulate ice under certain atmospheric conditions, such as low temperature and high humidity. This implies additional loads that might damage the turbine. A reliable ice-detection algorithm is required to shut down the turbine and prevent damages. A simple sensorless technique is proposed in this article for detection of both icing and ice shedding events. The technique is based on the estimation of the turbine inertia moment using generator speed measurements, turbine model and robust and fast convergent data-driven algorithms. Estimated inertia moment can be used for both ice detection and adaptation of the parameters of the control system. Implementation of this technique allows a stable turbine operation during hazardous ice conditions via adjustment of the control system parameters or turbine shut down in the extreme icing conditions.
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        PageCount: 4
        StartPage: 552
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      – SubjectFull: Wind turbine
        Type: general
      – SubjectFull: estimation of the inertia moment
        Type: general
      – SubjectFull: data-driven algorithm
        Type: general
      – SubjectFull: icing and shedding events
        Type: general
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      – TitleFull: Data-driven estimation of the inertia moment of wind turbines: A new ice-detection algorithm
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            NameFull: Stotsky, Alexander
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            NameFull: Egardt, Bo
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
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            – TitleFull: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
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