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Optimal power flow analysis of a Switzerland׳s transmission system for long-term capacity planning

Author

Listed:
  • Singh, Antriksh
  • Willi, David
  • Chokani, Ndaona
  • Abhari, Reza S.

Abstract

Optimal power flow modelling of large and complex power transmission networks is an essential tool for investors and policy makers for the development of energy technologies, security, trade, and policy-making. However, an analysis of a country׳s power system can be impeded by scarcity of operational information. This paper presents an integrated approach of geographically indexed production, demand and grid modelling for large-area power systems. This approach is validated through the accurate identification of transmission lines in Switzerland that have been earmarked for improvement. Furthermore, methods are developed to account for variance in the loading of transmission lines, and physical models are used to accurately model wind-generated electricity. A scenario for the development of wind power in Switzerland is analyzed and it is shown that in prospective regions of wind power development Switzerland׳s grid is capable in its current state of providing congestion-free dispatch.

Suggested Citation

  • Singh, Antriksh & Willi, David & Chokani, Ndaona & Abhari, Reza S., 2014. "Optimal power flow analysis of a Switzerland׳s transmission system for long-term capacity planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 596-607.
    • Handle: RePEc:eee:rensus:v:34:y:2014:i:c:p:596-607
    DOI: 10.1016/j.rser.2014.03.044
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    Citations

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    Cited by:

    1. Gideon Ude Nnachi & Yskandar Hamam & Coneth Graham Richards, 2022. "Appraising the Optimal Power Flow and Generation Capacity in Existing Power Grid Topology with Increase in Energy Demand," Energies, MDPI, vol. 15(7), pages 1-23, March.
    2. Pattupara, Rajesh & Kannan, Ramachandran, 2016. "Alternative low-carbon electricity pathways in Switzerland and it’s neighbouring countries under a nuclear phase-out scenario," Applied Energy, Elsevier, vol. 172(C), pages 152-168.
    3. Eser, Patrick & Singh, Antriksh & Chokani, Ndaona & Abhari, Reza S., 2016. "Effect of increased renewables generation on operation of thermal power plants," Applied Energy, Elsevier, vol. 164(C), pages 723-732.
    4. Wang, Beibei & Chen, Li & Wang, Jiale & Zhao, Shengnan, 2022. "Microgrid distributed energy resources planning based on a long-term dynamic microsimulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 236-253.
    5. Antriksh Singh & Patrick Eser & Ndaona Chokani & Reza Abhari, 2015. "High Resolution Modeling of the Impacts of Exogenous Factors on Power Systems—Case Study of Germany," Energies, MDPI, vol. 8(12), pages 1-14, December.

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