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Strategies for Power/Energy Saving in Distribution NetworksGRIGORAS, G.   , CARTINA, G. , BOBRIC, E. C. |
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Author keywords
power/energy saving, voltage levels, distribution networks, fuzzy techniques
References keywords
energy(12), distribution(8), link(6), transformers(5), techniques(5), grigoras(5), fuzzy(5), clustering(5), cartina(5), efficient(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 61 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02010
Web of Science Accession Number: 000280312600010
SCOPUS ID: 77954634862
Abstract
The power/energy losses reduction in distribution systems is an important issue during planning and operation, with important technical and economical implications. Thus, the energy losses minimization implies not only the technical improvement of the network, through its renewal with the introduction of the technological innovations in the equipment and circuit components as well as the optimal planning of the design and development of the network, but also requires the use of the methods and software tools to facilitate the operation process. The paper presents a strategy for power/energy saving which replacement of the 6 kV voltage level with 20 kV voltage level in correlation with the extent of using efficient transformers. In this line, different urban distribution networks were analyzed using fuzzy techniques. |
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[2] A Modified Optimization Model for the Location Selection of Distribution Transformer Used in Rural Power Network, Tang, Chao, Zhu, Shiping, Li, Jiao, Zhang, Daojun, Yang, Jun, Journal of Computers, ISSN 1796-203X, Issue 4, Volume 9, 2014.
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[10] Analysis of energy saving solutions based on replacement of distribution transformers, Grigoras, Gheorghe, Scarlatache, Florina, Neagu, Bogdan-Constantin, 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP), ISBN 978-1-5090-4489-4, 2017.
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[11] A New Technical and Economic Prediction Algorithm for Transformers in Distribution Networks Based on Data Mining Algorithms, Xu, Dan, Gao, He, Li, Weiwei, Huang, Ping, 2024 International Conference on Power Electronics and Artificial Intelligence, ISBN 9798400716638, 2024.
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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.
