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dc.contributor.authorRINALDO STEFANOen_GB
dc.contributor.authorCERESOLI ANDREAen_GB
dc.contributor.authorLAHAYE DOMENICOen_GB
dc.contributor.authorMERLO MARCOen_GB
dc.contributor.authorCVETKOVIC MILOSen_GB
dc.contributor.authorVITIELLO SILVIAen_GB
dc.contributor.authorFULLI GIANLUCAen_GB
dc.date.accessioned2019-01-09T01:25:56Z-
dc.date.available2019-01-08en_GB
dc.date.available2019-01-09T01:25:56Z-
dc.date.created2018-12-09en_GB
dc.date.issued2018en_GB
dc.date.submitted2018-05-28en_GB
dc.identifier.citationENERGIES vol. 11 no. 11en_GB
dc.identifier.issn1996-1073 (online)en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC112098-
dc.description.abstractThe 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.en_GB
dc.description.sponsorshipJRC.C.3-Energy Security, Distribution and Marketsen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherMDPI AGen_GB
dc.relation.ispartofseriesJRC112098en_GB
dc.titleDistributing Load Flow Computations Across System Operators Boundaries Using the Newton–Krylov–Schwarz Algorithm Implemented in PETScen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.3390/en11112910 (online)en_GB
JRC Directorate:Energy, Transport and Climate

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