77572

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Overview of Python Power Flow Solvers

Электронная публикация: 

Да

ISBN/ISSN: 

979-8-3503-8289-1

DOI: 

10.1109/REEPE60449.2024.10479730

Наименование конференции: 

  • 2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

Наименование источника: 

  • Proceedings of the 2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2024

Страницы: 

https://ieeexplore.ieee.org/abstract/document/10479730
Аннотация
The paper is devoted to a comparison of open source power flow solvers: Pandapower, PyPower, PyPSA, GridCal, and a custom-developed solver. The core objective was to evaluate and contrast their performance in solving the power flow problem. The widely-used Newton-Raphson method has been tested as the primary analytical tool across all solvers, focusing on two primary metrics: computation time and the number of iterations required for convergence. The analysis was conducted under standard operating conditions, followed by stress-testing scenarios, where the solvers' resilience was examined under increased load conditions.

Библиографическая ссылка: 

Гришин Е.М., Герасимов Г.В., Грязина Е.Н. Overview of Python Power Flow Solvers / Proceedings of the 2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). Moscow: IEEE, 2024. С. https://ieeexplore.ieee.org/abstract/document/10479730.