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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
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  4/2020 - 6

Assessment of Neutral Voltages in Distribution Networks via Monte Carlo Simulation and Load Flow Independent Grounding Approximation

CORREA, H. P. See more information about CORREA, H. P. on SCOPUS See more information about CORREA, H. P. on IEEExplore See more information about CORREA, H. P. on Web of Science, VIEIRA, F. H. T. See more information about  VIEIRA, F. H. T. on SCOPUS See more information about  VIEIRA, F. H. T. on SCOPUS See more information about VIEIRA, F. H. T. on Web of Science, NEGRETE, L. P. G. See more information about NEGRETE, L. P. G. on SCOPUS See more information about NEGRETE, L. P. G. on SCOPUS See more information about NEGRETE, L. P. G. on Web of Science
 
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Download PDF pdficon (1,333 KB) | Citation | Downloads: 241 | Views: 476

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
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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.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [SCOPUS Times Cited 73]


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[CrossRef] [Web of Science Times Cited 68] [SCOPUS Times Cited 86]


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[CrossRef] [Web of Science Times Cited 191] [SCOPUS Times Cited 235]


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[CrossRef] [Web of Science Times Cited 133] [SCOPUS Times Cited 190]


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[14] D. Poli, P. Pelacchi, G. Lutzemberger, T.B. Scirocco, F. Bassi and G. Bruno, "The possible impact of weather uncertainty on the dynamic thermal rating of transmission power Llines: A Monte Carlo error-based approach," Electric Power Systems Research, 2019, 170, pp. 338 - 347.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 11]


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[CrossRef] [Web of Science Times Cited 148] [SCOPUS Times Cited 173]




References Weight

Web of Science® Citations for all references: 944 TCR
SCOPUS® Citations for all references: 1,261 TCR

Web of Science® Average Citations per reference: 39 ACR
SCOPUS® Average Citations per reference: 53 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-11-23 11:46 in 426 seconds.




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