Verification of electrical disturbance measurement data to be used for wind turbine model validation

Sanna Uski

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

In order to verify that a simulation model operation corresponds to the real-life system operation, the models are validated against measurement data of a real system or system component. The procedure naturally presumes that the used measurement data is accurate and correct. This paper discusses the possible problems in the data interpretation and errors concealed in the measurement data of three-phase electrical quantities. Also a check-list is suggested for the measurement data verification. The emphasis is especially on disturbance measurement data of wind turbines to be used for a wind turbine model validation. Use of erroneous data could lead into a false conclusion of a wind turbine behavior or incorrect validation of a wind turbine model. Potential problems and errors in the measurement data are illustrated through actual experiences of measurement data that initially seemed feasible but in fact contained errors. These experiences also demonstrate the usability of the presented check-list for data verification. Discovering the errors enables the correction of the data and increases the data reliability.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2014
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages6
ISBN (Electronic)978-1-4799-7537-2
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2014 - Hong Kong, China
Duration: 7 Dec 201410 Dec 2014

Conference

ConferenceIEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2014
Abbreviated titleAPPEEC 2014
CountryChina
CityHong Kong
Period7/12/1410/12/14

Keywords

  • disturbance
  • data verification
  • measurement data

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