Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate

In this paper, a new methodology called Newton-Raphson-Predictor-Corrector (NR-PC) is applied to solve the load-flow (LF) problem of well and ill-conditioned power systems. In the proposed LF method, the Predictor-Corrector mechanism is developed to achieve convergence rate of order 1 + sqrt(2) = 2....

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Authors: Tostado-Véliz, Marcos, Kamel, Salah, Jurado-Melguizo, Francisco
Format: article
Status:Versión aceptada para publicación
Publication Date:2019
Country:España
Institution:Universidad de Jaén
Repository:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/2849
Online Access:https://www.sciencedirect.com/science/article/pii/S0142061518301674?via%3Dihub
https://hdl.handle.net/10953/2849
Access Level:Open access
Keyword:Power flow
Convergence rate
Newton Raphson
Ill-conditioned power systems
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spelling Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rateTostado-Véliz, MarcosKamel, SalahJurado-Melguizo, FranciscoPower flowConvergence rateNewton RaphsonIll-conditioned power systemsIn this paper, a new methodology called Newton-Raphson-Predictor-Corrector (NR-PC) is applied to solve the load-flow (LF) problem of well and ill-conditioned power systems. In the proposed LF method, the Predictor-Corrector mechanism is developed to achieve convergence rate of order 1 + sqrt(2) = 2.4 instead of 2 for the standard Newton Raphson (NR). The proposed NR-PC LF method is validated on different test systems; IEEE 30-bus, 57-bus, 118-bus and 300-bus systems as well-conditioned test cases, 13-bus and 20-bus systems as naturally ill-conditioned test systems, 1354-bus, 2869-bus and 9241-bus systems as realistic very large-scale test systems. The sensitivity of the proposed method with different R/X transmission line ratios and loading conditions is validated and compared with well-known methods. The simulation results show that the proposed LF method has better convergence characteristics and low computation time compared with benchmark methods.Elsevier202420242019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://www.sciencedirect.com/science/article/pii/S0142061518301674?via%3Dihubhttps://hdl.handle.net/10953/2849reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésInternational Journal of Electrical Power & Energy Systems [2019]; [105]: [785-792]info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/28492026-06-24T12:41:07Z
dc.title.none.fl_str_mv Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
title Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
spellingShingle Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
Tostado-Véliz, Marcos
Power flow
Convergence rate
Newton Raphson
Ill-conditioned power systems
title_short Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
title_full Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
title_fullStr Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
title_full_unstemmed Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
title_sort Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate
dc.creator.none.fl_str_mv Tostado-Véliz, Marcos
Kamel, Salah
Jurado-Melguizo, Francisco
author Tostado-Véliz, Marcos
author_facet Tostado-Véliz, Marcos
Kamel, Salah
Jurado-Melguizo, Francisco
author_role author
author2 Kamel, Salah
Jurado-Melguizo, Francisco
author2_role author
author
dc.subject.none.fl_str_mv Power flow
Convergence rate
Newton Raphson
Ill-conditioned power systems
topic Power flow
Convergence rate
Newton Raphson
Ill-conditioned power systems
description In this paper, a new methodology called Newton-Raphson-Predictor-Corrector (NR-PC) is applied to solve the load-flow (LF) problem of well and ill-conditioned power systems. In the proposed LF method, the Predictor-Corrector mechanism is developed to achieve convergence rate of order 1 + sqrt(2) = 2.4 instead of 2 for the standard Newton Raphson (NR). The proposed NR-PC LF method is validated on different test systems; IEEE 30-bus, 57-bus, 118-bus and 300-bus systems as well-conditioned test cases, 13-bus and 20-bus systems as naturally ill-conditioned test systems, 1354-bus, 2869-bus and 9241-bus systems as realistic very large-scale test systems. The sensitivity of the proposed method with different R/X transmission line ratios and loading conditions is validated and compared with well-known methods. The simulation results show that the proposed LF method has better convergence characteristics and low computation time compared with benchmark methods.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S0142061518301674?via%3Dihub
https://hdl.handle.net/10953/2849
url https://www.sciencedirect.com/science/article/pii/S0142061518301674?via%3Dihub
https://hdl.handle.net/10953/2849
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Electrical Power & Energy Systems [2019]; [105]: [785-792]
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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