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

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Опубликовано в::Processes vol. 13, no. 8 (2025), p. 2607-2633
Главный автор: Xu, Jie
Другие авторы: Zhang, He, Wang Shinong
Опубликовано:
MDPI AG
Предметы:
Newton-Raphson method
Radiation distribution
Variables
Monte Carlo simulation
Algorithms
Power supply
Energy storage
Optimization algorithms
Reconfiguration
Power flow
Optimization
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Краткий обзор: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
Источник:Materials Science Database