Tostado-Véliz, MarcosKamel, SalahJurado-Melguizo, Francisco2024-06-032024-06-032019-02Marcos Tostado, Salah Kamel, Francisco Jurado, Developed Newton-Raphson based Predictor-Corrector load flow approach with high convergence rate, International Journal of Electrical Power & Energy Systems, Volume 105, 2019, Pages 785-792, ISSN 0142-0615, https://doi.org/10.1016/j.ijepes.2018.09.021.1879-351710.1016/j.ijepes.2018.09.021https://www.sciencedirect.com/science/article/pii/S0142061518301674?via%3Dihubhttps://hdl.handle.net/10953/2849In 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.engPower flowConvergence rateNewton RaphsonIll-conditioned power systemsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess