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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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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
