DOI:
https://doi.org/10.14483/23448393.22697Published:
2024-09-19Issue:
Vol. 29 No. 3 (2024): September-DecemberSection:
EditorialSolving the Power Flow Problem in Transmission Networks Using Nonlinear complex-domain Modeling Via Julia Software
Keywords:
Complex-variable (en).Downloads
Abstract (en)
Solving the power flow problem for transmission grids is crucial for ensuring the reliable and efficient operation of electrical power systems. Power flow analysis allows engineers to determine the voltage, current, and power flow of a network, which is essential for maintaining system stability and avoiding overloads.
References
O. D. Montoya, C. A. Ramírez-Vanegas, and J. R. González-Granada, “Dynamic active and reactive power compensation in distribution networks using pv-statcoms: A tutorial using the julia software,” Res. Eng., vol. 21, p. 101876, Mar. 2024. https://doi.org/10.1016/j.rineng.2024.101876
X. Bai, H. Wei, K. Fujisawa, and Y. Wang, “Semidefinite programming for optimal power flow problems,” Int. J. Elec. Power Energy Sys., vol. 30, no. 6–7, pp. 383–392, Jul. 2008. https://doi.org/10.1016/j.ijepes.2007.12.003
A. Garcés-Ruiz, W. J. Gil-González, and O. D. Montoya-Giraldo, Introducción a la estabilidad de sistemas eléctricos de potencia. Pereira, Colombia: Universidad Tecnológica de Pereira, 2023. https://doi.org/10.22517/9789587228960
P. Anderson and A. Fouad, Power system control and stability. Piscataway, NJ: Wiley-Interscience, 2003. https://ieeexplore.ieee.org/servlet/opac?bknumber=5264012
J. Bezanson, A. Edelman, S. Karpinski, and V. B. Shah, “Julia: A fresh approach to numerical computing,” SIAM Rev., vol. 59, no. 1, pp. 65–98, 2017. https://doi.org/10.1137/141000671
How to Cite
APA
ACM
ACS
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver
Download Citation
License
Copyright (c) 2024 Oscar Danilo Montoya, Edwin Rivas-Trujillo, Walter Gil-Gonz´alez
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
From the edition of the V23N3 of year 2018 forward, the Creative Commons License "Attribution-Non-Commercial - No Derivative Works " is changed to the following:
Attribution - Non-Commercial - Share the same: this license allows others to distribute, remix, retouch, and create from your work in a non-commercial way, as long as they give you credit and license their new creations under the same conditions.
2.jpg)
