Power Flow in Unbalanced Three-Phase Power Distribution Networks Using Matlab: Theory, analysis, and quasi-dynamic simulation

被引:9
作者
Garces-Ruiz, Alejandro [1 ]
机构
[1] Univ Tecnol Pereira, Dept Elect Power Engn, Pereira, Colombia
来源
INGENIERIA | 2022年 / 27卷 / 03期
关键词
load flow; Newton?s method; Backward-forward algorithm; power flow; quasi-dynamic simulation; LOAD FLOW; OPTIMIZATION;
D O I
10.14483/23448393.19252
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Context: The power flow is a classical problem for analyzing and operating power distribution net-works. It is a challenging problem due to a large number of nodes, the high r/x ratio-typical in low voltage networks-and the unbalanced nature of the load.Method: This paper review four methods for power flow analysis, namely: the conventional Newton's method, Newton's method in a complex domain, the fixed-point algorithm using Ybus representation, and the backward-forward sweep algorithm. It is well-known that Newton's method has quadratic convergence, whereas the backward-forward sweep algorithm has linear convergence. However, the formal analysis of this convergence rate is less known in the engineering literature. Thus, the convergence of these methods is presented in theory and practice.Results: A set of simulations in the IEEE 900 node test system is presented. This system is large enough to demonstrate the performance of each algorithm. In addition, a Matlab toolbox is presented for making numerical simulations both for the static case and for quasi-dynamic simulations.Conclusions: Fixed point algorithms were faster than Newton's methods. However, the latter required less number of iterations.
引用
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页数:25
相关论文
共 31 条
[1]  
Akiyoshi R, 2017, IEEE PES INNOV SMART
[2]   Exploiting the Radial Distribution Structure in Developing a Fast and Flexible Radial Power Flow for Unbalanced Three-Phase Networks [J].
AlHajri, M. F. ;
El-Hawary, M. E. .
IEEE TRANSACTIONS ON POWER DELIVERY, 2010, 25 (01) :378-389
[3]  
[Anonymous], IEEE PES DISTRIBUTIO
[4]   Unbalanced Power Flow in Distribution Systems With Embedded Transformers Using the Complex Theory in αβ0 Stationary Reference Frame [J].
Arboleya, Pablo ;
Gonzalez-Moran, Cristina ;
Coto, Manuel .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (03) :1012-1022
[5]   Direct Backward/Forward Sweep Algorithm for Solving Load Power Flows in AC Droop-Regulated Microgrids [J].
Diaz, Guzman ;
Gomez-Aleixandre, Javier ;
Coto, Jose .
IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (05) :2208-2217
[6]   Neural networks for power flow: Graph neural solver [J].
Donon, Balthazar ;
Clement, Remy ;
Donnot, Benjamin ;
Marot, Antoine ;
Guyon, Isabelle ;
Schoenauer, Marc .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 189 (189)
[7]   PowerModelsDistribution.jl: An open-source framework for exploring distribution power flow formulations [J].
Fobes, David M. ;
Claeys, Sander ;
Geth, Frederik ;
Coffrin, Carleton .
ELECTRIC POWER SYSTEMS RESEARCH, 2020, 189
[8]  
Garces A, 2022, MATH PROGRAMMING POW, P171, DOI [10.1002/9781119747291.ch103, DOI 10.1002/9781119747291.CH103]
[9]  
Garces A, MATLAB CENTRAL FILE
[10]   On the Convergence of Newton's Method in Power Flow Studies for DC Microgrids [J].
Garces, Alejandro .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (05) :5770-5777