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An interdisciplinary approach to long-term modelling for power system expansion

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  • Aleksandar Dimitrovski
  • Andrew Ford
  • Kevin Tomsovic

Abstract

This article describes an interdisciplinary approach to computer modelling of large-scale power systems over a long-term horizon. The goal is to simulate the interplay between the economic, technical and environmental factors in the system. Our approach is illustrated with a model based on data from the Western Electric Coordination Council (WECC). We present simulations to show the change in the WECC system over 20 years. We explain the challenge of simulating short-term behaviour such as hourly wholesale electricity prices within the longer-term model. The usefulness of the model is illustrated by showing simulated impacts on the WECC system due to a market for carbon allowances. This research demonstrates the importance of simulation models that are designed for interactive use by policymakers, engineers and researchers.

Suggested Citation

  • Aleksandar Dimitrovski & Andrew Ford & Kevin Tomsovic, 2007. "An interdisciplinary approach to long-term modelling for power system expansion," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 3(1/2), pages 235-264.
    • Handle: RePEc:ids:ijcist:v:3:y:2007:i:1/2:p:235-264
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    Citations

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    Cited by:

    1. Ford, Andrew, 2008. "Simulation scenarios for rapid reduction in carbon dioxide emissions in the western electricity system," Energy Policy, Elsevier, vol. 36(1), pages 443-455, January.
    2. Armin Leopold, 2016. "Energy related system dynamic models: a literature review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 231-261, March.
    3. Hartvigsson, Elias & Stadler, Michael & Cardoso, Gonçalo, 2018. "Rural electrification and capacity expansion with an integrated modeling approach," Renewable Energy, Elsevier, vol. 115(C), pages 509-520.
    4. Assili, Mohsen & Javidi D.B., M. Hossein & Ghazi, Reza, 2008. "An improved mechanism for capacity payment based on system dynamics modeling for investment planning in competitive electricity environment," Energy Policy, Elsevier, vol. 36(10), pages 3703-3713, October.
    5. Teufel, Felix & Miller, Michael & Genoese, Massimo & Fichtner, Wolf, 2013. "Review of System Dynamics models for electricity market simulations," Working Paper Series in Production and Energy 2, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    6. Ahmad, Salman & Mat Tahar, Razman & Muhammad-Sukki, Firdaus & Munir, Abu Bakar & Abdul Rahim, Ruzairi, 2016. "Application of system dynamics approach in electricity sector modelling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 29-37.

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