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Multi-Year High-Voltage Power System Planning Considering Active Power Curtailment

Author

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  • Florian Schäfer

    (Department of Energy Management and Power System Operation, University of Kassel, 34121 Kassel, Germany
    Current address: University of Kassel, Willhelmshoeher Allee 73, 34121 Kassel, Germany.)

  • Martin Braun

    (Department of Energy Management and Power System Operation, University of Kassel, 34121 Kassel, Germany
    Department of Grid Planning and Grid Operation, Fraunhofer IEE, 34121 Kassel, Germany)

Abstract

Integrating active power curtailment (APC) of renewable energy sources (RES) in power system planning reduces necessary investments in the power system infrastructure. In current target grid planning methods, APC is considered by fixed curtailment factors without considering the provided flexibility to its full extent. Time-series-based planning methods allow the integration of the time dependency of RES and loads in power system planning, leading to substantial cost savings compared to the worst-case method. In this paper, we present a multi-year planning strategy for high-voltage power system planning, considering APC as an alternative investment option to conventional planning measures. A decomposed approach is chosen to consider APC and conventional measures in a long-term planning horizon of several years. The optimal investment path is obtained with the discounted cash flow method. A case study is conducted for the SimBench high-voltage urban benchmark system. Results show that the time-series-based method allows for reducing investments by up to 84% in comparison to the worst-case method. Furthermore, a sensitivity analysis shows the variation in total expenditures with changing cost assumptions.

Suggested Citation

  • Florian Schäfer & Martin Braun, 2020. "Multi-Year High-Voltage Power System Planning Considering Active Power Curtailment," Energies, MDPI, vol. 13(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4920-:d:416073
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    References listed on IDEAS

    as
    1. Steffen Meinecke & Džanan Sarajlić & Simon Ruben Drauz & Annika Klettke & Lars-Peter Lauven & Christian Rehtanz & Albert Moser & Martin Braun, 2020. "SimBench—A Benchmark Dataset of Electric Power Systems to Compare Innovative Solutions Based on Power Flow Analysis," Energies, MDPI, vol. 13(12), pages 1-19, June.
    2. Mateusz Andrychowicz, 2020. "Comparison of the Use of Energy Storages and Energy Curtailment as an Addition to the Allocation of Renewable Energy in the Distribution System in Order to Minimize Development Costs," Energies, MDPI, vol. 13(14), pages 1-20, July.
    3. Ulf Philipp Müller & Birgit Schachler & Malte Scharf & Wolf-Dieter Bunke & Stephan Günther & Julian Bartels & Guido Pleßmann, 2019. "Integrated Techno-Economic Power System Planning of Transmission and Distribution Grids," Energies, MDPI, vol. 12(11), pages 1-30, May.
    4. Hansen, Kenneth & Mathiesen, Brian Vad & Skov, Iva Ridjan, 2019. "Full energy system transition towards 100% renewable energy in Germany in 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 1-13.
    5. Ingo Liere-Netheler & Frank Schuldt & Karsten von Maydell & Carsten Agert, 2020. "Simulation of Incidental Distributed Generation Curtailment to Maximize the Integration of Renewable Energy Generation in Power Systems," Energies, MDPI, vol. 13(16), pages 1-22, August.
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