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Transmission and Generation Expansion Planning Considering Virtual Power Lines/Plants, Distributed Energy Injection and Demand Response Flexibility from TSO-DSO Interface

Author

Listed:
  • Flávio Arthur Leal Ferreira

    (UFPR—Department of Electrical Engineering, Universidade Federal do Paraná, Curitiba 81531-980, Brazil)

  • Clodomiro Unsihuay-Vila

    (UFPR—Department of Electrical Engineering, Universidade Federal do Paraná, Curitiba 81531-980, Brazil)

  • Rafael A. Núñez-Rodríguez

    (School Electronic Engineering, Unidades Tecnológicas de Santander, Bucaramanga 680005, Colombia)

Abstract

This article presents a computational model for transmission and generation expansion planning considering the impact of virtual power lines, which consists of the investment in energy storage in the transmission system as well as being able to determine the reduction and postponement of investments in transmission lines. The flexibility from the TSO-DSO interconnection is also modeled, analyzing its impact on system expansion investments. Flexibility is provided to the AC power flow transmission network model by distribution systems connected at the transmission system nodes. The transmission system flexibility requirements are provided by expansion planning performed by the connected DSOs. The objective of the model is to minimize the overall cost of system operation and investments in transmission, generation and flexibility requirements. A data-driven distributionally robust optimization-DDDRO approach is proposed to consider uncertainties of demand and variable renewable energy generation. The column and constraint generation algorithm and duality-free decomposition method are adopted. Case studies using a Garver 6-node system and the IEEE RTS-GMLC were carried out to validate the model and evaluate the values and impacts of local flexibility on transmission system expansion. The results obtained demonstrate a reduction in total costs, an improvement in the efficient use of the transmission system and an improvement in the locational marginal price indicator of the transmission system.

Suggested Citation

  • Flávio Arthur Leal Ferreira & Clodomiro Unsihuay-Vila & Rafael A. Núñez-Rodríguez, 2025. "Transmission and Generation Expansion Planning Considering Virtual Power Lines/Plants, Distributed Energy Injection and Demand Response Flexibility from TSO-DSO Interface," Energies, MDPI, vol. 18(7), pages 1-33, March.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:7:p:1602-:d:1618652
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    References listed on IDEAS

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    1. Liang, Z. & Chen, H. & Chen, S. & Lin, Z. & Kang, C., 2019. "Probability-driven transmission expansion planning with high-penetration renewable power generation: A case study in northwestern China," Applied Energy, Elsevier, vol. 255(C).
    2. Ali Toolabi Moghadam & Bahram Bahramian & Farid Shahbaazy & Ali Paeizi & Tomonobu Senjyu, 2023. "Stochastic Flexible Power System Expansion Planning, Based on the Demand Response Considering Consumption and Generation Uncertainties," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    3. Ruiz, C. & Conejo, A.J., 2015. "Robust transmission expansion planning," European Journal of Operational Research, Elsevier, vol. 242(2), pages 390-401.
    4. Backe, Stian & Ahang, Mohammadreza & Tomasgard, Asgeir, 2021. "Stable stochastic capacity expansion with variable renewables: Comparing moment matching and stratified scenario generation sampling," Applied Energy, Elsevier, vol. 302(C).
    5. Ghaddar, Bissan & Jabr, Rabih A., 2019. "Power transmission network expansion planning: A semidefinite programming branch-and-bound approach," European Journal of Operational Research, Elsevier, vol. 274(3), pages 837-844.
    6. Yin, Xin & Chen, Haoyong & Liang, Zipeng & Zhu, Yanjin, 2023. "A Flexibility-oriented robust transmission expansion planning approach under high renewable energy resource penetration," Applied Energy, Elsevier, vol. 351(C).
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