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JCR Impact Factor: 0.595
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Issues per year: 4
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Avg review time: 105 days


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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
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2017-Feb-16
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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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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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
 
Click to see author's profile on 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 (2,168 KB) | Citation | Downloads: 108 | Views: 148

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

[1] C. J. Cleveland and C. Morris, "Dictionary of Energy", pp. 473, The Energy and Resources Institute (TERI) Press, 2006.

[2] J. Zhu, "Operation of Smart Grid", ch. 14, Optimization of Power System Operation, Wiley-IEEE Press. 2015.

[3] E. Sortomme and M. A. El-Sharkawi, "Optimal Scheduling of Vehicle-to-Grid Energy and Ancillary Services," IEEE Transactions on Smart Grid, vol. 3, iss. 1, pp. 351-359, 2012.
[CrossRef] [Web of Science Times Cited 170] [SCOPUS Times Cited 234]


[4] C. Liu; K. T. Chau, D. Wu; and S. Gao, "Opportunities and Challenges of Vehicle-to-Home, Vehicle-to-Vehicle, and Vehicle-to-Grid Technologies," Proceedings of the IEEE, vol. 101, iss. 11, pp. 2409-2427, 2013.
[CrossRef] [Web of Science Times Cited 90] [SCOPUS Times Cited 104]


[5] L. Cheng, Y. Chang, and R. Huang, "Mitigating Voltage Problem in Distribution System with Distributed Solar Generation Using Electric Vehicles," IEEE Transactions on Sustainable Energy, vol. 6, iss. 4, pp. 1475-1484, 2015.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 12]


[6] S. Han, S. Han, and K. Sezaki, "Estimation of Achievable Power Capacity From Plug-in Electric Vehicles for V2G Frequency Regulation: Case Studies for Market Participation," IEEE Transactions on Smart Grid, vol. 2, iss. 4, pp. 632-641, 2011.
[CrossRef] [Web of Science Times Cited 85] [SCOPUS Times Cited 113]


[7] S. Han; S. Han; and K. Sezaki, "Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation," IEEE Transactions on Smart Grid, vol. 1, iss. 1, pp. 65-72, 2010.
[CrossRef] [Web of Science Times Cited 389] [SCOPUS Times Cited 558]


[8] M. Yilmaz and P. T. Krein, "Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces," IEEE Transactions on Power Electronics, vol. 28, iss. 12, pp.5673-5689, 2013.
[CrossRef] [Web of Science Times Cited 176] [SCOPUS Times Cited 229]


[9] M. Falahi, H. M. Chou, M. Ehsani, L. Xie, and K. L. Butler-Purry, "Potential Power Quality Benefits of Electric Vehicles," IEEE Transactions on Sustainable Energy, vol. 4, iss. 4, pp. 1016-1023, 2013.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 36]


[10] Z. Wang and S. Wang, "Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems," IEEE Transactions on Power Delivery, vol. 28, iss. 3, pp. 1822-1829, 2013.
[CrossRef] [Web of Science Times Cited 55] [SCOPUS Times Cited 72]


[11] M. Singh, P. Kumar, and I. Kar, "A Multi Charging Station for Electric Vehicles and Its Utilization for Load Management and the Grid Support," IEEE Transactions on Smart Grid, vol. 4, iss. 2, pp. 1026-1037, 2013.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 29]


[12] A. Sharma, D. Srinivasan, and A. Trivedi, "A Decentralized Multiagent System Approach for Service Restoration Using DG Islanding," IEEE Transactions on Smart Grid, vol.6, iss. 6, pp. 2784-2793, 2015.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]


[13] X. Wang and Q. Liang, "Energy Management Strategy for Plug-In Hybrid Electric Vehicles via Bidirectional Vehicle-to-Grid," IEEE Systems Journal, Early Access Articles, iss. 99, pp. 1-10, 2015.
[CrossRef] [SCOPUS Record]


[14] F. Rassaei, W. S. Soh, and K. C. Chua, "Demand Response for Residential Electric Vehicles With Random Usage Patterns in Smart Grids," IEEE Transactions on Sustainable Energy, pp. 1367-1376, vol. 6, iss. 4, 2015.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 22]


[15] Hongcai Zhang; Zechun Hu; Zhiwei Xu; Yonghua Song, "Evaluation of Achievable Vehicle-to-Grid Capacity Using Aggregate PEV Model," IEEE Transactions on Power Systems, vol. 32, iss 1, pp. 784-794, 2017.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 6]


[16] M. Singh, P. Kumar, and I. Kar, "Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller," IEEE Transactions on Smart Grid, vol. 3, iss. 1, pp. 565 – 577, 2012.
[CrossRef] [Web of Science Times Cited 64] [SCOPUS Times Cited 82]


[17] J. H. Yoon, R. Baldick, and A. Novoselac, "Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings," IEEE Transactions on Smart Grid, vol. 5, iss. 1, pp. 121-129, 2014.
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 88]


[18] Murat Yilmaz; Philip T. Krein, "Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles," IEEE Transactions on Power Electronics, vol. 28, iss. 5, pp. 2151-2169, 2013.
[CrossRef] [Web of Science Times Cited 441] [SCOPUS Times Cited 542]


[19] E. S. Dehaghani and S. S. Williamson, "On The Inefficiency of Vehicle-to-Grid (V2G) Power Flow: Potential Barriers and Possible Research Directions," IEEE Transportation Electrification Conference and Expo (ITEC), pp. 1-5, 2012.
[CrossRef] [SCOPUS Times Cited 10]


[20] R. D. Zimmerman, C. E. Murillo-S´anchez, and R. J. Thomas, "Matpower: SteadyState Operations, Planning and Analysis Tools for Power Systems Research and Education," Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12–19, 2011.
[CrossRef] [Web of Science Times Cited 1181] [SCOPUS Times Cited 1451]


[21] Clean Energy Ministerial, and Electric Vehicles Initiative (EVI), "Global EV Outlook 2013 – Understanding the Electric Vehicle Landscape to 2020," International Energy Agency (IEA), 2013.

[22] P. Y. Kong, and G. K. Karagiannidis, "Charging Schemes for Plug-In Hybrid Electric Vehicles in Smart Grid: A Survey," IEEE Access, vol. 4, pp. 6846 – 6875, 2016.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]


[23] G. P. Watkins, "A Third Factor in the Variation of Productivity: The Load Factor," The American Economic Review, vol. 5, no. 4, pp. 753-786, 1915.

[24] Y. L. Chou, "Statistical Analysis," Holt, Rinehart and Winston, 1975.

[25] M. R. I. Sheikh, M. A. Motin, M. A. Hossain, and M. Shahed, "Reference Power Selection for Smoothing Wind Power fluctuation with Reduced Energy Capacity," 7th International Conference on Electrical & Computer Engineering, pp. 746-749, 2012.
[CrossRef] [SCOPUS Times Cited 6]


[26] M. R. I. Sheikh, S. M. Muyeen, R. Takahashi, T. Murata and J. Tamura, "Minimization of Fluctuations of Output Power and Terminal Voltage of Wind Generator by Using STATCOM/SMES," IEEE Bucharest PowerTech, pp. 1-6, Bucharest Romania, 2009.
[CrossRef] [SCOPUS Times Cited 20]


[27] M. Akatsuka, R. Hara, H. Kita, T. Ito, T.Ueda, and Y. Saito, "Estimation of Battery Capacity for Suppression of A PV Power Plant Output Fluctuation," 35th IEEE Photovoltaic Specialists Conference, pp. 540-543, 2010.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 21]


[28] P. Chanhom, S. Sirisukprasert, and N. Hatti, "A New Mitigation Strategy for Photovoltaic Power Fluctuation Using The Hierarchical Simple Moving Average," IEEE International Workshop on Intelligent Energy Systems, pp. 28-33, 2013.
[CrossRef] [SCOPUS Times Cited 10]


[29] P. Chanhom, S. Sirisukprasert, and N. Hatti, "Enhanced Linear Exponential Smoothing Technique with Minimum Energy Storage Capacity for PV Distributed Generations," International Review of Electrical Engineering (I.R.E.E.), vol. 9, no. 6, 2014.
[CrossRef]


[30] J. J. Grainger and W. D. Stevenson, "Power System Analysis," ch. 9, New York: McGraw-Hill, 1994.

[31] R. Drath and A. Horch, "Industrie 4.0: Hit or Hype? [Industry Forum]," IEEE Industrial Electronics Magazine, vol. 8, iss. 2, pp. 56-58, 2014.
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 108]


[32] M. Yu, M. Zhu, G. Chen, J. Li, and Z. Zhou, "A Cyber-Physical Architecture for Industry 4.0-Based Power Equipments Detection System," 2016 International Conference on Condition Monitoring and Diagnosis (CMD), 2016.
[CrossRef] [SCOPUS Times Cited 2]




References Weight

Web of Science® Citations for all references: 2,911 TCR
SCOPUS® Citations for all references: 3,768 TCR

Web of Science® Average Citations per reference: 88 ACR
SCOPUS® Average Citations per reference: 114 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 2017-12-09 06:00 in 169 seconds.




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


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