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Assessment of Neutral Voltages in Distribution Networks via Monte Carlo Simulation and Load Flow Independent Grounding ApproximationCORREA, H. P. , VIEIRA, F. H. T. , NEGRETE, L. P. G. |
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Author keywords
Monte Carlo methods, estimation, grounding, power distribution, distributed power generation
References keywords
power(31), systems(17), distribution(9), phase(7), flow(7), electric(7), tpwrs(5), research(5), quality(5), jepsr(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2020-11-30
Volume 20, Issue 4, Year 2020, On page(s): 45 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.04006
Web of Science Accession Number: 000594393400006
SCOPUS ID: 85098212215
Abstract
The computation of neutral voltages in power systems via load flow algorithms and Monte Carlo simulation is a topic that is receiving increased attention in recent works due to growth in installed distributed generation. In this paper, a novel method is proposed for estimating neutral voltage probability density functions in terms of system grounding impedances and in the presence of stochastic distributed generation. The main advantage of the proposed method is that it does not require solving load flow for each set of possible grounding impedances. Instead, a single load flow is required for the entire set, whose results are then used for estimating neutral voltage as a function of grounding impedance via Y-bus inversion. A case study is carried out via simulation to validate the method. The obtained results suggest that the proposed method provides low estimation error and yields significant reduction in computational complexity with respect to the standard load flow-based method. |
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[1] Three‐phase four‐wire power flow solution for multi‐grounded distribution networks with non‐bolted grounding, Yang, Nien‐Che, Zeng, Song‐Ting, IET Generation, Transmission & Distribution, ISSN 1751-8687, 2024.
Digital Object Identifier: 10.1049/gtd2.13316 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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