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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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  3/2017 - 6

A New V2G Control Strategy for Load Factor Improvement Using Smoothing Technique

CHANHOM, P. See more information about CHANHOM, P. on SCOPUS See more information about CHANHOM, P. on IEEExplore See more information about CHANHOM, P. on Web of Science, NUILERS, S. See more information about  NUILERS, S. on SCOPUS See more information about  NUILERS, S. on SCOPUS See more information about NUILERS, S. on Web of Science, HATTI, N. See more information about HATTI, N. on SCOPUS See more information about HATTI, N. on SCOPUS See more information about HATTI, N. on Web of Science
 
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Download PDF pdficon (2,168 KB) | Citation | Downloads: 725 | Views: 2,556

Author keywords
electric vehicles, energy storage, finite impulse response filters, power smoothing, smart grids

References keywords
grid(20), power(19), vehicle(13), energy(12), smart(10), electric(10), vehicles(9), systems(7), system(5), capacity(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2017-08-31
Volume 17, Issue 3, Year 2017, On page(s): 43 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2017.03006
Web of Science Accession Number: 000410369500006
SCOPUS ID: 85028564493

Abstract
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This paper proposes a new vehicle-to-grid (V2G) control strategy for improving the load factor in the power network. To operate the proposed strategy, the available storage capacity of the PEVs batteries is considered as a battery energy storage system (BESS) for charging and discharging an amount of power corresponding to the V2G power command. Due to the remarkable advantages of the technique so-called simple moving average, it is selected for applying in the proposed V2G control strategy. In this research, for investigating the load factor improvement, the essential data including the daily-load profiles with 7-day and 14-day periods are used for the 3 studied cases. These 3 studied cases present the power network with variation of the PEVs locations for describing the PEVs usage and charging or discharging behavior. The performance of the proposed strategy is simulated and verified by the MATPOWER software. The simulation results show that the load factors of the 3 studied cases are improved. Moreover, the encouragement of energy arbitrage for the PEVs owners is also discussed in this paper.


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

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References Weight

Web of Science® Citations for all references: 10,613 TCR
SCOPUS® Citations for all references: 13,392 TCR

Web of Science® Average Citations per reference: 322 ACR
SCOPUS® Average Citations per reference: 406 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 2024-04-24 23:46 in 153 seconds.




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