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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  1/2018 - 10

 HIGHLY CITED PAPER 

Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method

NAZARLOO, A. See more information about NAZARLOO, A. on SCOPUS See more information about NAZARLOO, A. on IEEExplore See more information about NAZARLOO, A. on Web of Science, FEYZI, M. R. See more information about  FEYZI, M. R. on SCOPUS See more information about  FEYZI, M. R. on SCOPUS See more information about FEYZI, M. R. on Web of Science, SABAHI, M. See more information about  SABAHI, M. on SCOPUS See more information about  SABAHI, M. on SCOPUS See more information about SABAHI, M. on Web of Science, BANNAE SHARIFIAN, M. B. See more information about BANNAE SHARIFIAN, M. B. on SCOPUS See more information about BANNAE SHARIFIAN, M. B. on SCOPUS See more information about BANNAE SHARIFIAN, M. B. on Web of Science
 
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Download PDF pdficon (1,926 KB) | Citation | Downloads: 1,032 | Views: 4,651

Author keywords
discharges (electric), electric vehicles, energy management, optimal scheduling, power grids

References keywords
grid(23), power(14), vehicle(13), electric(10), vehicles(8), energy(7), plug(6), smart(5), hybrid(5), distribution(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 81 - 88
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01010
Web of Science Accession Number: 000426449500010
SCOPUS ID: 85043286801

Abstract
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Full text preview
The electric vehicles (EVs), depending on the charging or discharging modes, can act as flexible loads or as flexible energy sources. Therefore, this paper proposes a method for achieving the following objectives: improvement the voltage profile of the point of common coupling (PCC), control the charging and discharging of EVs in an appropriate scheduling so that at the end of the charging and discharging process all EVs are fully charged, improvement the profiles of active and reactive loads based on the peak shaving and the valley filling, charging rate control and energy management for the economic justification of vehicle to grid (V2G) technology based on the proposed method. Considering that the penetration of EVs and state of charge (SOC) of battery at any time is random, this paper extracts and analyzes the data that is available through national household travel surveys (NHTS). In order to determine the desired parameters, two stochastic algorithms are integrated with Monte Carlo simulations. To prove the performance superiority of the proposed method over conventional methods under high EVs-penetration, an IEEE 14-bus system is used for real-time simulation.


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

[1] Y. Saber and G. K. Venayagamoorthy, "Intelligent unit commitment with vehicle-to-grid-A cost-emission optimization," J. Power Sources, vol. 195, pp. 898-911, 2010.
[CrossRef] [Web of Science Times Cited 230] [SCOPUS Times Cited 318]


[2] Y. Fan, W. Zhu, Z. Xue, L. Zhang, and Z. Zou, "A multi-function conversion technique for vehicle-to-grid applications," Energies, vol. 8, no. 8, pp. 7638-7653, 2015.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]


[3] M. Singh, "Real-Time coordination of electric vehicles to support the grid at the distribution substation level," IEEE Syst. J., vol. 9, no. 3, pp. 1000-1010, Sept. 2015.
[CrossRef] [Web of Science Times Cited 44] [SCOPUS Times Cited 57]


[4] R. Sioshansi and P. Denholm, "Emissions impacts and benefits of plug-in hybrid electric vehicles and vehicle-to-grid services," Environmental Sci. Technol., vol. 43, pp. 1199-1204, 2009.
[CrossRef] [Web of Science Times Cited 193] [SCOPUS Times Cited 228]


[5] W. Kempton and J. Tomic, "Vehicle-to-grid power fundamentals: Calculating capacity and net revenue," J. Power Sources, vol. 144, pp. 268-279, 2005.
[CrossRef] [Web of Science Times Cited 1430] [SCOPUS Times Cited 1893]


[6] S. Han, H. Han, and K. Sezaki, "Development of an optimal vehicle-to-grid aggregator for frequency regulation," IEEE Trans. Smart Grid, vol. 1, no. 1, pp. 65-72, Jun. 2010.
[CrossRef] [Web of Science Times Cited 758] [SCOPUS Times Cited 1008]


[7] J. R. Pillai and B. B. Jensen, "Integration of vehicle-to-grid in the western Danish power system," IEEE Trans. Sustain. Energy, vol. 2, no. 1, pp. 12-19, Jan. 2011.
[CrossRef] [Web of Science Times Cited 276] [SCOPUS Times Cited 372]


[8] A. Hajimiragha, C. A. CaƱizares,M.W. Fowler, and A. Elkamel, "Optimal transition to plug-in hybrid electric vehicles in Ontario, Canada, considering the electricity-grid limitations," IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 690-701, Feb. 2010.
[CrossRef] [Web of Science Times Cited 216] [SCOPUS Times Cited 283]


[9] J. Donadee, and M. D. Ilic, "Stochastic optimization of grid to vehicle frequency-regulation capacity bids," IEEE Trans. on Smart Grid, vol. 5, no. 2, pp. 1061-1069 Mar. 2014.
[CrossRef] [Web of Science Times Cited 116] [SCOPUS Times Cited 126]


[10] E. Sortomme and M. El-Sharkawi, "Optimal combined bidding of vehicleto-grid ancillary services," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 70-79, Mar. 2012.
[CrossRef] [Web of Science Times Cited 160] [SCOPUS Times Cited 199]


[11] A. K. Madawala and D. J. Thrimawithana, "A bidirectional inductive power interface for electric vehicles in V2G systems," IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4789-4796, Oct. 2011,
[CrossRef] [Web of Science Times Cited 553] [SCOPUS Times Cited 699]


[12] S. Wang and Z. Wang, "Grid power peak-shaving and valley-filling using vehicle to grid systems," IEEE Trans. on Power Del., vol. 28, no. 3, pp. 1822-1828, Jul. 2013.
[CrossRef] [Web of Science Times Cited 553] [SCOPUS Times Cited 699]


[13] K. Clement Nyns, J. Driesen, and E. Haesen, "The impact of charging plug in hybrid electric vehicles on a residential distribution grid," IEEE Trans. Power Syst., vol. 25, no. 1, pp. 371-380, Feb. 2010.
[CrossRef] [Web of Science Times Cited 1863] [SCOPUS Times Cited 2527]


[14] Y. Ota, H. Taniguchi, T. Nakajima, K. Liyanage, A. Yokoyama, and J. Baba, "Autonomous distributed V2G (Vehicle to Grid) satisfying scheduled charging," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 559-564, Mar. 2012.
[CrossRef] [Web of Science Times Cited 351] [SCOPUS Times Cited 447]


[15] Y. Ma, T. Houghton, A. Cruden, and D. Infield, "Modeling the benefits of vehicle to grid technology to a power system," IEEE Trans. Power Syst., vol. 27, no. 2, pp. 1012-1020, May 2012.
[CrossRef] [Web of Science Times Cited 197] [SCOPUS Times Cited 266]


[16] M. Singh, P. Kumar, and I. Kar, "Implementation of vehicle to grid infrastructure using fuzzy logic controller," IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 565-577, Mar. 2012.
[CrossRef] [Web of Science Times Cited 156] [SCOPUS Times Cited 201]


[17] M. Singh, P. Kumar, and I. Kar, "Designing a multi charging station for electric vehicles and its utilization for the grid support," IEEE PES General Meeting, pp. 1-8, San Diego, CA, Jul. 2012.
[CrossRef] [Web of Science Times Cited 74] [SCOPUS Times Cited 105]


[18] E. Pashajavid, M. Aliakbar Golkar, "Charging of plug-in electric vehicles: Stochastic modelling of load demand within domestic grids", 20th Iranian Conf. Electrical Engineering (ICEE), Tehran, 2012, pp. 535 - 539.
[CrossRef] [SCOPUS Times Cited 42]


[19] S. Shao, M. Pipattanasomporn, and S. Rahman, "Challenges of PHEV penetration to the residential distribution network," in Proc. IEEE Power Energy Society General Meeting, Calgary, AB, Canada, 2009, pp. 1-8.
[CrossRef] [SCOPUS Times Cited 349]


[20] C. Camus, C. M. Silva, T. L. Farias, and J. Esteves, "Impact of plug-in hybrid electric vehicles in the Portuguese electric utility system," in Proc. IEEE Power Engineering, Energy and Electrical Drives Conf., Lisbon, Portugal, 2009, pp. 285-290.
[CrossRef] [SCOPUS Times Cited 64]


[21] Z. Darabi, and M. Ferdowsi, "Aggregated impact of plug-in hybrid electric vehicle on electricity demand profile," IEEE Trans. Sustainable Energy, vol. 2, no. 4, pp. 501-508, Oct. 2011.
[CrossRef] [Web of Science Times Cited 270] [SCOPUS Times Cited 351]


[22] M. Yilmaz and P.T. Krein, "Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces," IEEE Trans. Power Elec., vol. 28, no. 12, pp. 5673 - 5689, Dec. 2013.
[CrossRef] [Web of Science Times Cited 645] [SCOPUS Times Cited 822]


[23] M. Baran and F.Wu, "Network reconfiguration in distribution systems for loss reduction and load balancing," IEEE Trans. Power Del., vol. 4, no. 2, pp. 1401-1407, Apr. 1989.
[CrossRef] [Web of Science Times Cited 3634] [SCOPUS Times Cited 3387]


[24] J. Barton and D. Infield, "Energy storage and its use with intermittent renewable energy," IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 441-448, Jun. 2004,
[CrossRef] [Web of Science Times Cited 943] [SCOPUS Times Cited 1226]




References Weight

Web of Science® Citations for all references: 12,673 TCR
SCOPUS® Citations for all references: 15,681 TCR

Web of Science® Average Citations per reference: 507 ACR
SCOPUS® Average Citations per reference: 627 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 2024-12-02 00:23 in 165 seconds.




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