表紙画像

An Extended Model Approach to Study the Power Flow Analysis of Complex Power Systems

保存先:
出版年:Processes vol. 13, no. 8 (2025), p. 2607-2633
第一著者: Xu, Jie
その他の著者: Zhang, He, Wang Shinong
出版事項:
MDPI AG
主題:
Newton-Raphson method
Radiation distribution
Variables
Monte Carlo simulation
Algorithms
Power supply
Energy storage
Optimization algorithms
Reconfiguration
Power flow
Optimization
オンライン･アクセス:Citation/Abstract
Full Text + Graphics
Full Text - PDF
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
抄録:This paper focuses on the reconfigurability of power system extension models and improves the adaptability of radiation distribution network schemes to complex power networks. The existing Newton–Raphson based solutions face difficulties in reconstructing dynamics, often failing to converge or requiring high initial condition settings in extended systems. For the IEEE 30-bus system, based on node-provided data, we optimized the Newton–Raphson algorithm model for practical complex power systems. The novel optimization algorithm leverages multi-radiation power grid reconfiguration, significantly reducing dependencies on optimization time and initial state reconstruction. The results verify the effectiveness of the model and algorithm.
ISSN:2227-9717
DOI:10.3390/pr13082607
ソース:Materials Science Database