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Wind Turbines Support Techniques during Frequency Drops — Energy Utilization Comparison

1 Renewable Energies Section, Technical University of Darmstadt, Land-Graf Georg Str. 4, 64283 Darmstadt, Germany.;
2 Renewable Energies Section, Technical University of Darmstadt, Darmstadt, Germany

Special Issues: Wind Power Implementation Challenges

The supportive role of wind turbines during frequency drops is still not clear enough, although there are many proposed algorithms. Most of the offered techniques make the wind turbine deviates from optimum power generation operation to special operation modes, to guarantee the availability of reasonable power support, when the system suffers frequency deviations. This paper summarizes the most dominant support algorithms and derives wind turbine power curves for each one. It also conducts a comparison from the point of view of wasted energy, with respect to optimum power generation. The authors insure the advantage of a frequency support algorithm, they previously presented, as it achieved lower amounts of wasted energy. This analysis is performed in two locations that are promising candidates for hosting wind farms in Egypt. Additionally, two different types of wind turbines from two different manufacturers are integrated. Matlab and Simulink are the implemented simulation environments.
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Keywords wind turbine; wind energy; frequency drop; frequency support; de-loading

Citation: Ayman B. Attya, T. Hartkopf. Wind Turbines Support Techniques during Frequency Drops — Energy Utilization Comparison. AIMS Energy, 2014, 2(3): 260-275. doi: 10.3934/energy.2014.3.260


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This article has been cited by

  • 1. A.B. Attya, J.L. Dominguez-Garcia, O. Anaya-Lara, A review on frequency support provision by wind power plants: Current and future challenges, Renewable and Sustainable Energy Reviews, 2017, 10.1016/j.rser.2017.06.016
  • 2. Ayman Attya, Jose Luis Dominguez-Garcia, , Advances in Modelling and Control of Wind and Hydrogenerators, 2020, Chapter 6, 10.5772/intechopen.90235

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Copyright Info: 2014, Ayman B. Attya, T. Hartkopf, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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