Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11002373 | International Journal of Electrical Power & Energy Systems | 2019 | 8 Pages |
Abstract
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+2â2.4 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Marcos Tostado, Salah Kamel, Francisco Jurado,