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Open AccessArticle

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

1
European Commission, Directorate General Joint Research Centre, Directorate C—Energy Transport and Climate, Unit 3—Energy Security, Distribution and Markets, 20127 Ispra, Italy
2
Faculty of Electrical Engineering, Mathematics, and Computer Science, TU Delft, 2628 XE Delft, The Netherlands
3
Department of Energy, Politecnico di Milano, 20156 Milan, Italy
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Energies 2018, 11(11), 2910; https://doi.org/10.3390/en11112910
Received: 2 August 2018 / Revised: 9 October 2018 / Accepted: 17 October 2018 / Published: 25 October 2018
(This article belongs to the Section Electrical Power and Energy System)
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. View Full-Text
Keywords: cross-border flows; distributed computing; inexact Newton methods; load flow analysis; PETSc; grid operators cooperation; smart grids cross-border flows; distributed computing; inexact Newton methods; load flow analysis; PETSc; grid operators cooperation; smart grids
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Rinaldo, S.G.; Ceresoli, A.; Lahaye, D.J.P.; Merlo, M.; Cvetković, M.; Vitiello, S.; Fulli, G. Distributing Load Flow Computations Across System Operators Boundaries Using the Newton–Krylov–Schwarz Algorithm Implemented in PETSc. Energies 2018, 11, 2910.

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