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Model experiments in operational energy system analysis: Power grid focused scenario comparisons

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  • Beck, J.-P.
  • Reinhard, J.
  • Kamps, K.
  • Kupka, J.
  • Derksen, C.

Abstract

Models of the operational energy system analysis map partial aspects of the energy system in high temporal and spatial resolution. In this contribution different power grid focused scenarios are considered and results from four different models are compared for an exemplary, rural low voltage grid. These scenarios include the expansion of photovoltaic (PV) power generation and measures to address resulting grid limit violations with conventional grid expansion and the installation of a voltage regulating distribution transformer (VRDT). The model comparison should provide the optimization potentials and recommendations for the use of the models. The models ZuBer (University of Wuppertal), Pandapower Pro (University of Kassel), Energy Agents (University of Duisburg-Essen), and GridSim (FfE) are represented in these scenarios. After description of the scenario definition, data basis and the individual methodological approaches of the models, the results of the power flow calculation and further calculation results are compared. Finally, the optimization potential for the individual models is derived and a recommendation is made for each model as to which scenario it is particularly suitable for.

Suggested Citation

  • Beck, J.-P. & Reinhard, J. & Kamps, K. & Kupka, J. & Derksen, C., 2022. "Model experiments in operational energy system analysis: Power grid focused scenario comparisons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:rensus:v:164:y:2022:i:c:s136403212200449x
    DOI: 10.1016/j.rser.2022.112550
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    1. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    2. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
    3. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    4. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    5. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    6. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Mahmud, Khizir & Town, Graham E., 2016. "A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks," Applied Energy, Elsevier, vol. 172(C), pages 337-359.
    8. Mathias Müller & Florian Biedenbach & Janis Reinhard, 2020. "Development of an Integrated Simulation Model for Load and Mobility Profiles of Private Households," Energies, MDPI, vol. 13(15), pages 1-33, July.
    9. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    10. Tobias Junne & Karl-Kiên Cao & Kim Kira Miskiw & Heidi Hottenroth & Tobias Naegler, 2021. "Considering Life Cycle Greenhouse Gas Emissions in Power System Expansion Planning for Europe and North Africa Using Multi-Objective Optimization," Energies, MDPI, vol. 14(5), pages 1-26, February.
    11. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    12. Lund, Henrik & Duić, Neven & Krajac˘ić, Goran & Graça Carvalho, Maria da, 2007. "Two energy system analysis models: A comparison of methodologies and results," Energy, Elsevier, vol. 32(6), pages 948-954.
    13. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    14. Daniel Johansson & Paul Lucas & Matthias Weitzel & Erik Ahlgren & A. Bazaz & Wenying Chen & Michel Elzen & Joydeep Ghosh & Maria Grahn & Qiao-Mei Liang & Sonja Peterson & Basanta Pradhan & Bas Ruijven, 2015. "Multi-model comparison of the economic and energy implications for China and India in an international climate regime," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(8), pages 1335-1359, December.
    15. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    Full references (including those not matched with items on IDEAS)

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