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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]( "Wind Energy Technology Institute") (WETI) at the [Flensburg University of Applied Sciences]( "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 Publications ------------ The measurement campaign started in 2016 and is still in operation. Since the beginning of the measurement campaign, data recordings have been used research projects at WETI and lead to various publications. ### Journal Publications: H. Thiesen, C. Jauch, and A. Gloe, “Design of a System Substituting Today’s Inherent Inertia in the European Continental Synchronous Area,” Energies, vol. 9, no. 8, p. 582, Jul. 2016. doi: 10.3390/en9080582. C. Jauch, A. Gloe, S. Hippel, and H. Thiesen, “Increased Wind Energy Yield and Grid Utilisation with Continuous Feed-In Management,” Energies, vol. 10, no. 7, pp. 870–893, Jun. 2017, issn: 1996-1073. doi: 10.3390/en10070870. C. Jauch and A. Gloe, “Simultaneous inertia contribution and optimal grid utilization with wind turbines,” Energies, vol. 12, no. 15, 2019, issn: 1996-1073. doi: 10.3390/en12153013. H. Thiesen and C. Jauch, “Determining the load inertia contribution from different power consumer groups,” Energies, vol. 13, no. 7, 2020, issn: 1996-1073. doi: 10. 3390/en13071588. A. Gloe, C. Jauch, and T. Räther, “Grid support with wind turbines: The case of the 2019 blackout in flensburg,” Energies, vol. 14, no. 6, 2021, issn: 1996-1073. doi: 10.3390/en14061697. F. Guo and D. Schlipf, “A spectral model of grid frequency for assessing the impact of inertia response on wind turbine dynamics,” Energies, vol. 14, no. 9, 2021, issn: 1996-1073. doi: 10.3390/en14092492. ### Conference Publications: A. Gloe, H. Thiesen, and C. Jauch, “Grid Frequency Analysis for Assessing the Stress on Wind Turbines,” in 15th Wind Integration Workshop, Vienna, Austria: Energynautics GmbH, Nov. 2016, pp. 747–752. H. Thiesen, A. Gloe, C. Jauch, and J. Viebeg, “The Provision of Synthetic Inertia by Wind Turbine Generators: An Analysis of the Energy Yield and Costs,” in 16th Wind Integration Workshop, Berlin, Germany: Energynautics GmbH, Oct. 2017, pp. 603–606. H. Thiesen and C. Jauch, “Identifying electromagnetic illusions in grid frequency measurements for synthetic inertia provision,” in 13th International Conference on Compatibility, Power Electronics and Power Engineering, Sonderborg, Denmark: IEEE-CPE-POWERENG 2019, Apr. 2019. ---------------------------------- When using this data, please use the following citation: H. Thiesen, A. Gloe, and C. Jauch. “Grid Frequency Data – WETI.” Dec. 2021. doi: 10.17605/OSF.IO/JBK82