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JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

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


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  1/2015 - 12

Voltage Control of Distribution Grids with Multi-Microgrids Using Reactive Power Management

WLODARCZYK, P. See more information about WLODARCZYK, P. on SCOPUS See more information about WLODARCZYK, P. on IEEExplore See more information about WLODARCZYK, P. on Web of Science, SUMPER, A. See more information about  SUMPER, A. on SCOPUS See more information about  SUMPER, A. on SCOPUS See more information about SUMPER, A. on Web of Science, CRUZ, M. See more information about CRUZ, M. on SCOPUS See more information about CRUZ, M. on SCOPUS See more information about CRUZ, M. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (817 KB) | Citation | Downloads: 553 | Views: 2,462

Author keywords
distributed generation, multi-microgrids, optimal power flow, smart grids, voltage control

References keywords
power(14), distribution(10), voltage(8), systems(8), control(8), distributed(7), generation(6), system(5), smart(4), optimal(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 83 - 88
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01012
Web of Science Accession Number: 000352158600012
SCOPUS ID: 84924810552

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Low-voltage Microgrids can be valuable sources of ancillary services for the Distribution System Operators (DSOs). The aim of this paper was to study if and how multi-microgrids can contribute to Voltage Control (VC) in medium-voltage distribution grids by means of reactive power generation and/or absorption. The hierarchical control strategy was proposed with the main focus on the tertiary control which was defined as optimal power flow problem. The interior-point algorithm was applied to optimise experimental benchmark grid with the presence of Distributed Energy Resources (DERs). Moreover, two primary objectives were formulated: active power losses and amount of reactive power used to reach the voltage profile. As a result the active power losses were minimised to the high extent achieving the savings around 22% during entire day.

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

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[CrossRef] [Web of Science Times Cited 131] [SCOPUS Times Cited 265]

[9] H. Farag and E. El-Saadany, "A novel cooperative protocol for distributed voltage control in active distribution systems," Power Systems, IEEE Transactions on, vol. 28, no. 2, pp. 1645-1656, May 2013.
[CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 80]

[10] G. Valverde and T. Van Cutsem, "Model predictive control of voltages in active distribution networks," Smart Grid, IEEE Transactions on, vol. 4, no. 4, pp. 2152-2161, Dec 2013.
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 105]

[11] Y. Agalgaonkar, B. Pal, and R. Jabr, "Distribution voltage control considering the impact of pv generation on tap changers and autonomous regulators," Power Systems, IEEE Transactions on, vol. 29, no. 1, pp. 182-192, Jan 2014.
[CrossRef] [Web of Science Times Cited 95] [SCOPUS Times Cited 111]

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[CrossRef] [Web of Science Times Cited 76] [SCOPUS Times Cited 85]

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[CrossRef] [Web of Science Times Cited 132] [SCOPUS Times Cited 150]

[15] H. Fakham, A. Ahmidi, F. Colas, and X. Guillaud, "Multi-agent system for distributed voltage regulation of wind generators connected to distribution network," in Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010 IEEE PES, Oct 2010, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 36]

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References Weight

Web of Science® Citations for all references: 3,119 TCR
SCOPUS® Citations for all references: 3,372 TCR

Web of Science® Average Citations per reference: 142 ACR
SCOPUS® Average Citations per reference: 153 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 2019-04-21 21:24 in 115 seconds.

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Faculty of Electrical Engineering and Computer Science
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