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Reduction method for planning cross-energy carrier networks in the cellular approach applicable for stability assessment in low-voltage networks

  • CIGRE 2020
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Abstract

Stability assessment for electrical networks is an essential research topic for sustainable energy generation and, therefore, future electrical networks. Renewable energy sources implemented in the grid in order to substitute fossil fuels as energy sources present a challenge for current network infrastructures since renewable energy sources are highly volatile and, therefore, not always predictable. Especially in low-voltage networks with high shares of PV penetration and extended network branches that supply customers with high consumption, power quality issues arise since these infrastructures were historically built to transport and distribute electrical energy from local substations to the consumers. Due to further developments and new consumer groups connected to the grid as well as generation in PV units, load flows may be reversed or enlarged leading to challenges in terms of overloads and voltage problems. In this work, a method for reducing electrical networks at the low-voltage level by applying the cellular approach is presented with special regard to power quality issues that may arise in low-voltage networks. Network reduction, in general, enables faster calculations of expanded networks with fine temporal resolution and can, therefore, be applied when handling large amounts of grid data. This methodology for network reduction within the cellular approach is implemented into a hybrid load flow calculation framework developed at the Chair of Energy Network Technology. The results obtained from the hybrid load flow calculation can then be used to show how hybrid flexibility options as well as storage units can help increase network stability (in this case regarding voltage stability).

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References

  1. Kriechbaum, L., Scheiber, G., Kienberger, T. (2018): Grid-based multi-energy systems – modelling, assessement, open source modelling framework and challenges. Energy Sustain. Soc., 8(1), 244. https://doi.org/10.1186/s13705-018-0176-x.

    Article  Google Scholar 

  2. Appelrath, H. J., Lehnhoff, S., Rohjans, S., König, A. (2012): Hybridnetze für die Energiewende – Forschungsfragen aus der Sicht der IKT. In acatech. Deutsche Akademie Der Technikwissenschaften.

    Google Scholar 

  3. Böckl, B., Greiml, M., Leitner, L., Pichler, P., Kriechbaum, L., Kienberger, T. (2019): HyFlow – a hybrid load flow-modelling framework to evaluate the effects of energy storage and sector coupling on the electrical load flows. Energies, 12(5), 956. https://doi.org/10.3390/en12050956.

    Article  Google Scholar 

  4. Böckl, B., Kriechbaum, L., Kienberger, T. (2016): Analysemethode für kommunale Energiesysteme unter Anwendung des zellularen Ansatzes. In: 14. Symposium energieinnovation, EnInnov2016.

    Google Scholar 

  5. Vopava, J., Koczwara, C., Traupmann, A., Kienberger, T. (2020): Investigating the impact of E-mobility on the electrical power grid using a simplified grid modelling approach. Energies, 13(1), 39. https://doi.org/10.3390/en13010039.

    Article  Google Scholar 

  6. Papaemanouil, A., Andersen, G. On the reduction of large power system models for power market simulations. 17th Power Systems Computation Conference Stockholm. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.723.5598&rep=rep1&type=pdf.

  7. Gavrilas, M., Ivanov, O., Gavrilas, G. (2008): REI equivalent design for electric power systems with genetic algorithms. WSEAS Trans. Circuits Syst., 7(10), 911–921.

    Google Scholar 

  8. Deckmann, S., Pizzolante, A., Monticelli, A., Scott, B., Alsac, O. (1980): Studies on power system load flow equivalencing. IEEE Trans. Power Appar. Syst., PAS-99(6), 2301–2310.

    Article  Google Scholar 

  9. ISO EN 50160 (2011): Voltage characteristics in public distribution systems.

  10. Taljan, G., Krasnitzer, M., Strempfl, F., Jarz, A. (2012): Spannungsniveau im 30-kV Netz UW Judenburg/West - Lösungsansätze mit Smart Grids. In 12. Symposium Energieinnovation, EnInnov2012.

    Google Scholar 

  11. Kaufmann, T., Bothe, D., Gawlik, W., Ponweiser, K. (2015): Optimierung der Lastflüsse in urbanen Hybridnetzen. In 9. Internationale Energiewirtschaftstagung, IEWT 2015.

    Google Scholar 

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Acknowledgement

This work was carried out as part of the NEFI_Lab project. NEFI_Lab is a subproject of NEFI – New Energy for Industry, a flagship region funded by the Climate and Energy Funds Austria.

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Correspondence to A. Traupmann.

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Paper submitted for the CIGRE Session 2020, SC-C6, August 27, 2020, online.

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Traupmann, A., Greiml, M. & Kienberger, T. Reduction method for planning cross-energy carrier networks in the cellular approach applicable for stability assessment in low-voltage networks. Elektrotech. Inftech. 137, 509–514 (2020). https://doi.org/10.1007/s00502-020-00851-4

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