Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System

Theis Bo Rasmussen, Guangya Yang, Arne Hejde Nielsen, Zhao Yang Dong

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    Abstract

    The transition towards a cyber-physical energy system (CPES) entails an increased dependency on valid data. Simultaneously, an increasing implementation of renewable generation leads to possible control actions at individual distributed energy resources (DERs). A state estimation covering the whole system, including individual DER, is time consuming and numerically challenging. This paper presents the approach and results of implementing a simplified state estimator onto an embedded system for improving DER monitoring. The implemented state estimator is based on numerically robust orthogonal factorization and used on a set of state equations of a generic wind turbine generator (WTG). The simplified state estimator is tested by simulating a generic WTG model and evaluated based on its execution time and estimation accuracy. Results show its fast execution time, its accuracy in handling normal measurement error and its ability to provide reliable data in the case of gross errors in the set of measurements.
    Original languageEnglish
    Title of host publicationProceedings of 2017 Federated Conference on Computer Science and Information Systems
    PublisherIEEE
    Publication date2017
    Pages1167-1175
    ISBN (Print)9788394625382
    DOIs
    Publication statusPublished - 2017
    EventFederated Conference on Computer Science and Information Systems 2017 - Czech Technical University , Prague, Czech Republic
    Duration: 4 Sept 20177 Sept 2017

    Conference

    ConferenceFederated Conference on Computer Science and Information Systems 2017
    LocationCzech Technical University
    Country/TerritoryCzech Republic
    CityPrague
    Period04/09/201707/09/2017

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    • Academic Research Grant 2017

      Rasmussen, Theis Bo (Recipient), 2017

      Prize: Prizes, scholarships, distinctions

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