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用于不平衡配电系统中电能质量优化改善的FACT装置的比较分析。

Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems.

作者信息

Elkholy Ahmed M, Panfilov Dmitry I, ELGebaly Ahmed E

机构信息

Electrical Power and Machines Department, Faculty of Engineering-Tanta University, Tanta, Egypt.

Industrial Electronics Department, Moscow Power Engineering Institute, 111250, Moscow, Russia.

出版信息

Sci Rep. 2025 Jan 21;15(1):2672. doi: 10.1038/s41598-024-57331-4.

Abstract

This study examines the performance of asymmetric three-phase distribution systems under the influence of FACT deives such as a static VAR compensator (SVC) and a unified power controller (UPC). Each suggested device's operating principle is developed in this paper in order to provide the best model to be used in the power flow analysis. The performance of the IEEE-13 bus imbalanced distribution model is investigated using the Newton-Raphson method. To improve network asymmetry, an optimization analysis is carried out to ascertain how each proposed device will work. In this paper, the mode of operation of each device is determined every hour to flow the changing in loads according to their daily load curve. The genetic algorithm (GA) is utilized to determine the contribution of the unified flow controller to balance the loads between phases. The multi-objective function is constructed to combine the total system losses and the average voltage unbalance coefficient. The paper provides an optimal dynamic technique to optimally operate the unified power flow controller installed in the unbalanced three-phase distribution system.

摘要

本研究考察了诸如静止无功补偿器(SVC)和统一功率控制器(UPC)等灵活交流输电系统(FACT)装置影响下的不对称三相配电系统的性能。本文阐述了每种所建议装置的工作原理,以便提供可用于潮流分析的最佳模型。采用牛顿-拉夫逊法研究了IEEE - 13节点不平衡配电模型的性能。为改善网络不对称性,进行了优化分析,以确定每种所建议装置的工作方式。本文根据每日负荷曲线,每小时确定一次各装置的运行模式,以适应负荷变化。利用遗传算法(GA)确定统一潮流控制器在平衡各相负荷方面的作用。构建了多目标函数,将系统总损耗和平均电压不平衡系数结合起来。本文提供了一种优化动态技术,以最优方式运行安装在不平衡三相配电系统中的统一潮流控制器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ca8/11751159/eff9fa89b099/41598_2024_57331_Fig1_HTML.jpg

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