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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

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


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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: 782 | Views: 3,479

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 208] [SCOPUS Times Cited 291]


[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 10] [SCOPUS Times Cited 11]


[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 37] [SCOPUS Times Cited 47]


[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 179] [SCOPUS Times Cited 204]


[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 1315] [SCOPUS Times Cited 1736]


[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 694] [SCOPUS Times Cited 923]


[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 254] [SCOPUS Times Cited 334]


[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 205] [SCOPUS Times Cited 256]


[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 104] [SCOPUS Times Cited 115]


[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 145] [SCOPUS Times Cited 176]


[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 481] [SCOPUS Times Cited 590]


[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 481] [SCOPUS Times Cited 590]


[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 1694] [SCOPUS Times Cited 2261]


[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 303] [SCOPUS Times Cited 381]


[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 175] [SCOPUS Times Cited 233]


[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 138] [SCOPUS Times Cited 176]


[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 62] [SCOPUS Times Cited 81]


[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 36]


[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 329]


[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 61]


[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 249] [SCOPUS Times Cited 328]


[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 541] [SCOPUS Times Cited 657]


[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 2973] [SCOPUS Times Cited 2590]


[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 860] [SCOPUS Times Cited 1102]




References Weight

Web of Science® Citations for all references: 11,108 TCR
SCOPUS® Citations for all references: 13,508 TCR

Web of Science® Average Citations per reference: 444 ACR
SCOPUS® Average Citations per reference: 540 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 2023-01-26 00:13 in 154 seconds.




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