Publikationen | Hochschule Flensburg

2021

Grid Frequency Data – WETI

Thiesen, H. ., Gloe, A. ., & Jauch, C. . (2021). Grid Frequency Data – WETI. http://doi.org/doi.org/10.17605/OSF.IO/JBK82

Abstract

The presented grid frequency data is part of research activities at the Wind Energy Technology Instiute (WETI) at the Flensburg University of Applied Sciences. The measurement campaign is conducted in Flensburg, Germany. Hence, the grid frequency of the synchronous area of Continental Europe is tracked. A Dewetron 2010 measurement system is used to record and compute the data. The measurement system computes the grid frequency by tracking the grid voltage with a high sampling rate of 50 kHz. Every 164 ms the software fits a sinusoidal curve into the recorded voltage measurement points using the least-square-sums approach. The period of the resulting sinusoidal function is used as a measure for grid frequency.

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Grid Frequency Data - WETI

Thiesen, H. ., Gloe, A. ., & Jauch, C. . (2021). Grid Frequency Data - WETI. https://osf.io/jbk82/: Open Science Framework. http://doi.org/10.17605/OSF.IO/JBK82

Abstract

Grid Frequency Data - WETI Overview Data type: grid frequency data File type: CSV Location of measurement: Flensburg, Germany Resolution: ~ 6.1Hz Measurement precision: 3 decimal Decription The presented grid frequency data is part of research activities at the Wind Energy Technology Instiute (WETI) at the Flensburg University of Applied Sciences. The measurement campaign is conducted in Flensburg, Germany. Hence, the grid frequency of the synchronous area of Continental Europe is tracked. A Dewetron 2010 measurement system is used to record and compute the data. The measurement system computes the grid frequency by tracking the grid voltage with a high sampling rate of 50 kHz. Every 164 ms the software fits a sinusoidal curve into the recorded voltage measurement points using the least-square-sums approach. The period of the resulting sinusoidal function is used as a measure for grid frequency. Data Structure Each csv-file provides data for one month of the year. Data is structured as follows: Column 1: Year of type integer Column 2: Month of type integer Column 3: Day of type integer Column 4: Hour of type integer Column 5: Minute of type integer Column 6: Second and Milliseconds of type float Column 7: Deviation of the nominal grid frequency in Hz of type float