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

  • Special Issue Paper
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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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References

  1. Bundesnetzagentur, EEG-Statistikbericht (2011) Bonn

  2. Gödde M, Potratz F, Matrose C, Schnettler A, Brandl S, Draxler R, Ortner M (2012) Statistische Analyse der Implikationen dezentraler Energiewandlungseinheiten auf Verteilungsnetze mit Hilfe probabilistischer Lastflussrechnung. In: VDE Kongress 2012, VDE, Berlin

  3. Smolka T, Dederichs T, Gödde M, Schnettler A (2011) Potentiale und Rahmenbedingungen für einen flächendeckenden Einsatz von Smart Metering für Stadtwerke. In: Internationaler ETG-Kongress 2011, VDE, Berlin

  4. Pollok T, Sowa T, Koopmann S, Raths S, Elstermann K, Schnettler A (2012) Evaluation of business cases for renewable generation under consideration of virtual power plants. In: 7th International Renewable Energy Storage Conference and Exhibition (IRES 2012), Berlin

  5. Box GEP, Jenkins GM, Reinsel GC (1994) Time series analysis: forecasting and control. Prentice Hall, Englewoof Cliffs

    MATH  Google Scholar 

  6. Sander J, Ester M, Kriegel H-P, Xu X (1998) Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications. In: Data mining and knowledge discovery. 2nd edn, Springer, Berlin

  7. Dows R, Gough E (1995) PVUSA procurement, acceptance, and rating practices for photovoltaic power plants. Pacific Gas and Electric Company, Technical Report, San Ramon, CA

  8. Myers D (2009) Evaluation of the performance of the PVUSA rating methodology applied to DUAL junction PV technology. In: American Solar Energy Society Annual Conference, Buffalo, NY

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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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