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

Result code in 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>

Alternative codes found

RIV/61989100:27730/22:10249570

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2022

Confidentiality

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

Name of the periodical

Sustainability

ISSN

2071-1050

e-ISSN

2071-1050

Volume of the periodical

14

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

12

Pages from-to

nestrankovano

UT code for WoS article

000764429100001

EID of the result in the Scopus database

2-s2.0-85124725961