Recycling Newton-Krylov algorithm for efficient solution of large scale power systems

dc.authoridYetkin, E. Fatih/0000-0003-1115-4454
dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorYetkin, Emrullah Fatih
dc.date.accessioned2023-10-19T15:11:42Z
dc.date.available2023-10-19T15:11:42Z
dc.date.issued2023
dc.department-temp[Yetkin, E. Fatih] Kadir Has Univ, Management Informat Syst Dept, Istanbul, Turkiye; [Ceylan, Oguzhan] Marmara Univ, Dept Elect & Elect Engn, Istanbul, Turkiyeen_US
dc.description.abstractPower flow calculations are crucial for the study of power systems, as they can be used to calculate bus voltage magnitudes and phase angles, as well as active and reactive power flows on lines. In this paper, a new approach, the Recycling Newton-Krylov (ReNK) algorithm, is proposed to solve the linear systems of equations in Newton-Raphson iterations. The proposed method uses the Generalized Conjugate Residuals with inner orthogonalization and deflated restarting (GCRO-DR) method within the Newton-Raphson algorithm and reuses the Krylov subspace information generated in previous Newton runs. We evaluate the performance of the proposed method over the traditional direct solver (LU) and iterative solvers (Generalized Minimal Residual Method (GMRES), the Biconjugate Gradient Stabilized Method (Bi-CGSTAB) and Quasi-Minimal Residual Method (QMR)) as the inner linear solver of the Newton-Raphson method. We use different test systems with a number of busses ranging from 300 to 70000 and compare the number of iterations of the inner linear solver (for iterative solvers) and the CPU times (for both direct and iterative solvers). We also test the performance of the ReNK algorithm for contingency analysis and for different load conditions to simulate optimization problems and observe possible performance gains.en_US
dc.identifier.citation2
dc.identifier.doi10.1016/j.ijepes.2022.108559en_US
dc.identifier.issn0142-0615
dc.identifier.issn1879-3517
dc.identifier.scopus2-s2.0-85137545786en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.ijepes.2022.108559
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5175
dc.identifier.volume144en_US
dc.identifier.wosWOS:000860492500007en_US
dc.identifier.wosqualityQ1
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofInternational Journal of Electrical Power & Energy Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIterative SolverEn_Us
dc.subjectFlow ProblemEn_Us
dc.subjectConvergenceEn_Us
dc.subjectSubspacesEn_Us
dc.subjectFamilyEn_Us
dc.subjectIterative Solver
dc.subjectFlow Problem
dc.subjectPower systemsen_US
dc.subjectConvergence
dc.subjectPower flowen_US
dc.subjectSubspaces
dc.subjectIterative methodsen_US
dc.subjectFamily
dc.subjectKrylov subspacesen_US
dc.titleRecycling Newton-Krylov algorithm for efficient solution of large scale power systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb80c3194-906c-4e78-a54c-e3cd1effc970
relation.isAuthorOfPublication81114204-31da-4513-a19f-b5446f8a3a08
relation.isAuthorOfPublication.latestForDiscoveryb80c3194-906c-4e78-a54c-e3cd1effc970

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