Modeling and simulation of local flexibilities and their effect to the entire power system

Abstract

The transformation of the energy system requires new methods for its modeling and simulation, as established methods are facing problems in representing the increasing complexity and flexibility. We present the modeling and simulation framework MOCES that is based on the modeling language Modelica. The novelty of MOCES is the explicit modeling of the processes that ensure the balancing of production and consumption and which link the physical system with the energy markets. In this contribution, we show how MOCES can be used to model and simulate the German power system with detailed spatial representation by adapting and extending the ELMOD-DE model. The adapted model is modified to investigate the effect of local storage systems that aim at minimizing the exchange of electricity with the upstream grid. We provide findings on their effect to the grid usage, the grid stability, and the economic performance of the storage systems. In addition, we examine the influence of an increasing number of local storage systems on their economic performance.

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Notes

  1. 1.

    http://www.tiny.cc/moces.

  2. 2.

    http://www.gridlabd.org.

  3. 3.

    https://mosaik.offis.de.

  4. 4.

    In this context, domain addresses different modeling domains, such as the hydraulic, thermal or electric power domain.

  5. 5.

    These actual feed-in values are itself calculated by means of models that use the measurement values of a subset of all plants. Unfortunately, no detailed information about the models are publicly available.

  6. 6.

    The ELMOD-DE adaption has some obvious limitations, such as ignoring must-run restrictions of Combined Heat and Power (CHP) plants caused by local heat demand. In addition, several model parts could not be validated due to missing data, e.g. the grid model. Therefore, further steps are needed to give reliable statements.

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Acknowledgements

The work was partially supported by the SINTEG project DESIGNETZ funded by the German Federal Ministry of Economic Affairs and Energy (BMWi) under grant 03SIN224. We thank Jonas Egerer from DIW for providing validation data for the grid model of ELMOD-DE.

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Correspondence to Lukas Exel.

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Exel, L., Frey, G. Modeling and simulation of local flexibilities and their effect to the entire power system. Comput Sci Res Dev 33, 49–60 (2018). https://doi.org/10.1007/s00450-017-0346-7

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Keywords

  • Energy system modeling
  • Flexible energy systems
  • Modelica
  • Energy markets