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

Stefano Guido Rinaldo, Andrea Ceresoli, Domenico J. P. Lahaye, Marco Merlo, Miloš Cvetković, Silvia Vitiello and Gianluca Fulli
Additional contact information
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
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
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

Energies, 2018, vol. 11, issue 11, 1-17

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.

Keywords: cross-border flows; distributed computing; inexact Newton methods; load flow analysis; PETSc; grid operators cooperation; smart grids (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/11/2910/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/11/2910/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:2910-:d:178314

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().