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Method for modelling fluctuating energy generation plants for the assessment of their impact on medium and low voltage grids

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Computer Science - Research and Development

Abstract

This paper describes a method for taking the forecasting uncertainty into account when assessing the impact of volatile generation on power grids. To this end the generation of feed-in scenarios for generation plants that include the uncertainty of the weather forecast is described. With a three-step model that firstly forecasts local weather parameters and, secondly, generates scenarios for these parameters, thirdly, a reduced number of resulting feed-in profile scenarios for each plant is computed. With these scenarios the assessment of the grid-impact of the plants can be calculated taking into account the uncertainty of the prognosis. In a case study, feed-in profiles for the plants in an exemplary region are generated which can be used for an assessment of the grid impact in this region using probabilistic load flow calculation.

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Acknowledgments

The research described in this paper has been carried out within the scope of the Project “Integration regenerativer Energien und Elektromobilität – IRENE” supported by the Federal Ministry for Economic Affairs and Energy. The authors would like to thank Christoph Blödorn for his work aiding in the creation of this paper.

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Authors and Affiliations

  1. Institute for High Voltage Technology, RWTH Aachen University, Aachen, Germany

    Ann-Kathrin Meinerzhagen, Torsten Sowa, Simon Koopmann & Armin Schnettler

  2. Allgäuer Überlandwerke GmbH, Kempten, Germany

    Eduard Gutschmidt

Authors
  1. Ann-Kathrin Meinerzhagen
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  2. Torsten Sowa
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  3. Simon Koopmann
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  4. Armin Schnettler
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  5. Eduard Gutschmidt
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Correspondence to Ann-Kathrin Meinerzhagen.

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Meinerzhagen, AK., Sowa, T., Koopmann, S. et al. Method for modelling fluctuating energy generation plants for the assessment of their impact on medium and low voltage grids. Comput Sci Res Dev 31, 3–7 (2016). https://doi.org/10.1007/s00450-014-0275-7

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  • DOI: https://doi.org/10.1007/s00450-014-0275-7

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