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A Comparative Study of Techniques Utilized in Analysis of Wind Turbine Data
KTH, School of Electrical Engineering (EES), Electric power and energy systems.ORCID iD: 0000-0002-0396-3326
China Electric Power Research Institute.
Comillas Pontifical University.
2016 (English)Conference paper, Poster (Refereed)
Abstract [en]

Power produced by a wind turbine is dependent on many factors with different importance degrees. Knowing the main factors can be found by a thorough analysis of all the factors and their correlation and impact on the main output, active power produced by the wind turbine. Therefore, it is important to monitor the performance of the wind turbines in order to minimize the operation and maintenance costs by pointing out abnormalities. This paper analyzes the main factors affecting active output power of a wind turbine which are Gearbox Temperature, Pitch Angle, Rotor Speed and Wind Speed. The data monitored and measured is for over a 12-month period. Several techniques, Kohonen Maps, Multilayer Perceptron, Decision Trees and Rough Sets, are applied to these data. The objective is to show a comparison of different techniques, their positive and negative points and give the reader the ability to choose the best technique for the study based on the their advantages and disadvantages. For the assessment of data, MATLAB and WEKA software are utilized. Each study presents its accuracy based on the output error.

Place, publisher, year, edition, pages
Keyword [en]
Classification, Decision Tree, Kohonen Maps, Multilayer Perceptron, Rough Sets, Wind turbine data
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Energy Technology; Electrical Engineering
URN: urn:nbn:se:kth:diva-191113OAI: diva2:954860
7th China International Conference on Electricity Distribution (CICED 2016)

QC 20160923

Available from: 2016-08-23 Created: 2016-08-23 Last updated: 2016-09-23Bibliographically approved

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