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Distributing Load Flow Computations Across System Operators Boundaries Using the Newton–Krylov–Schwarz Algorithm Implemented in PETSc

Author

Listed:
  • Stefano Guido Rinaldo

    (European Commission, Directorate General Joint Research Centre, Directorate C—Energy Transport and Climate, Unit 3—Energy Security, Distribution and Markets, 20127 Ispra, Italy
    These authors contributed equally to this work.)

  • Andrea Ceresoli

    (European Commission, Directorate General Joint Research Centre, Directorate C—Energy Transport and Climate, Unit 3—Energy Security, Distribution and Markets, 20127 Ispra, Italy
    These authors contributed equally to this work.)

  • Domenico J. P. Lahaye

    (Faculty of Electrical Engineering, Mathematics, and Computer Science, TU Delft, 2628 XE Delft, The Netherlands)

  • Marco Merlo

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Miloš Cvetković

    (Faculty of Electrical Engineering, Mathematics, and Computer Science, TU Delft, 2628 XE Delft, The Netherlands)

  • Silvia Vitiello

    (European Commission, Directorate General Joint Research Centre, Directorate C—Energy Transport and Climate, Unit 3—Energy Security, Distribution and Markets, 20127 Ispra, Italy)

  • Gianluca Fulli

    (European Commission, Directorate General Joint Research Centre, Directorate C—Energy Transport and Climate, Unit 3—Energy Security, Distribution and Markets, 20127 Ispra, Italy)

Abstract

The upward trends in renewable energy penetration, cross-border flow volatility and electricity actors’ proliferation pose new challenges in the power system management. Electricity and market operators need to increase collaboration, also in terms of more frequent and detailed system analyses, so as to ensure adequate levels of quality and security of supply. This work proposes a novel distributed load flow solver enabling for better cross border flow analysis and fulfilling possible data ownership and confidentiality arrangements in place among the actors. The model exploits an Inexact Newton Method, the Newton–Krylov–Schwarz method, available in the portable, extensible toolkit for scientific computation (PETSc) libraries. A case-study illustrates a real application of the model for the TSO–TSO (transmission system operator) cross-border operation, analyzing the specific policy context and proposing a test case for a coordinated power flow simulation. The results show the feasibility of performing the distributed calculation remotely, keeping the overall simulation times only a few times slower than locally.

Suggested Citation

  • Stefano Guido Rinaldo & Andrea Ceresoli & Domenico J. P. Lahaye & Marco Merlo & Miloš Cvetković & Silvia Vitiello & Gianluca Fulli, 2018. "Distributing Load Flow Computations Across System Operators Boundaries Using the Newton–Krylov–Schwarz Algorithm Implemented in PETSc," Energies, MDPI, vol. 11(11), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:2910-:d:178314
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    References listed on IDEAS

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    1. Gerard, Helena & Rivero Puente, Enrique Israel & Six, Daan, 2018. "Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework," Utilities Policy, Elsevier, vol. 50(C), pages 40-48.
    2. Hadush, Samson Yemane & Meeus, Leonardo, 2018. "DSO-TSO cooperation issues and solutions for distribution grid congestion management," Energy Policy, Elsevier, vol. 120(C), pages 610-621.
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    Cited by:

    1. Maria Eliza Kootte & Cornelis Vuik, 2021. "Steady-State Stand-Alone Power Flow Solvers for Integrated Transmission-Distribution Networks: A Comparison Study and Numerical Assessment," Energies, MDPI, vol. 14(18), pages 1-19, September.

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