Steady-State Analysis of Electrical Networks in Pandapower Software: Computational Performances of Newton-Raphson, Newton-Raphson with Iwamoto Multiplier, and Gauss-Seidel Methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10249570" target="_blank" >RIV/61989100:27740/22:10249570 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27730/22:10249570

Výsledek na webu

<a href="https://www.mdpi.com/2071-1050/14/4/2002" target="_blank" >https://www.mdpi.com/2071-1050/14/4/2002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su14042002" target="_blank" >10.3390/su14042002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Steady-State Analysis of Electrical Networks in Pandapower Software: Computational Performances of Newton-Raphson, Newton-Raphson with Iwamoto Multiplier, and Gauss-Seidel Methods

Popis výsledku v původním jazyce

At the core of every system for the efficient control of the network steady-state operation is the AC-power-flow problem solver. For local distribution networks to continue to operate effectively, it is necessary to use the most powerful and numerically stable AC-power-flow problem solvers within the software that controls the power flows in these networks. This communication presents the results of analyses of the computational performance and stability of three methods for solving the AC-power-flow problem. Specifically, this communication compares the robustness and speed of execution of the Gauss-Seidel (G-S), Newton-Raphson (N-R), and Newton-Raphson method with Iwamoto multipliers (N-R-I), which were tested in open-source pandapower software using a meshed electrical network model of various topologies. The test results show that the pandapower implementations of the N-R method and the N-R-I method are significantly more robust and faster than the G-S method, regardless of the network topology. In addition, a generalized Python interface between the pandapower and the SciPy package was implemented and tested, and results show that the hybrid Powell, Levenberg-Marquardt, and Krylov methods, a quasilinearization algorithm, and the continuous Newton method can sometimes achieve better results than the classical N-R method.

Název v anglickém jazyce

Steady-State Analysis of Electrical Networks in Pandapower Software: Computational Performances of Newton-Raphson, Newton-Raphson with Iwamoto Multiplier, and Gauss-Seidel Methods

Popis výsledku anglicky

At the core of every system for the efficient control of the network steady-state operation is the AC-power-flow problem solver. For local distribution networks to continue to operate effectively, it is necessary to use the most powerful and numerically stable AC-power-flow problem solvers within the software that controls the power flows in these networks. This communication presents the results of analyses of the computational performance and stability of three methods for solving the AC-power-flow problem. Specifically, this communication compares the robustness and speed of execution of the Gauss-Seidel (G-S), Newton-Raphson (N-R), and Newton-Raphson method with Iwamoto multipliers (N-R-I), which were tested in open-source pandapower software using a meshed electrical network model of various topologies. The test results show that the pandapower implementations of the N-R method and the N-R-I method are significantly more robust and faster than the G-S method, regardless of the network topology. In addition, a generalized Python interface between the pandapower and the SciPy package was implemented and tested, and results show that the hybrid Powell, Levenberg-Marquardt, and Krylov methods, a quasilinearization algorithm, and the continuous Newton method can sometimes achieve better results than the classical N-R method.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Sustainability

ISSN

2071-1050

e-ISSN

2071-1050

Svazek periodika

14

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

12

Strana od-do

nestrankovano

Kód UT WoS článku

000764429100001

EID výsledku v databázi Scopus

2-s2.0-85124725961