通过调整信道衰减统计混合模型(类图)的统计分布参数用于各自子类的电力线拓扑上的虚拟指示宽带。第3部分:架空输电电网的情况

A. Lazaropoulos
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引用次数: 4

摘要

在文献[1]、[2]中,基于最近提出的初始统计混合模型(iSHM)、修正统计混合模型(mSHM)和类图定义程序,给出了架空和地下中压宽带输电线路(OV和UN MV BPL)拓扑类映射的理论框架和数值结果。本文首先将统计信道建模和类映射的最新研究成果应用于传输BPL网络;例如,OV高压(HV) BPL拓扑。将OV HV BPL网络的数值结果与OV和UN配电网的数值结果进行了比较,发现了显著的异同。最后,研究了在定义过程中考虑最小或最大容量值而不是平均容量值的影响,以及类映射的总仿真时间的行为。引用本文:Lazaropoulos, a.g.(2019)。通过调整信道衰减统计混合模型(类图)的统计分布参数用于各自子类的电力线拓扑上的虚拟指示宽带。第3部分:架空输电电网的情况可再生能源动态,5,282-306。DOI: 10.17737 / tre.2019.5.3.00101
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 3: The Case of Overhead Transmission Power Grids
In [1], [2], the theoretical framework and the numerical results concerning the class mapping of overhead and underground medium voltage broadband over power lines (OV and UN MV BPL) topologies have been presented on the basis of the recently proposed initial statistical hybrid model (iSHM), modified statistical hybrid model (mSHM) and class map definition procedure. In this paper, all the recent findings regarding the statistical channel modeling and class mapping are first applied to transmission BPL networks; say, OV high voltage (HV) BPL topologies. The numerical results of OV HV BPL networks are compared against the respective ones of OV and UN distribution networks revealing significant similarities and differences. Finally, the impact of considering minimum or maximum capacity value instead of the average one during the definition procedure is investigated as well as the behavior of the total simulation time of class mapping. Citation:  Lazaropoulos, A. G. (2019). Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models (Class Maps) – Part 3: The Case of Overhead Transmission Power Grids. Trends in Renewable Energy, 5, 282-306. DOI: 10.17737/tre.2019.5.3.00101
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