Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: May 2024
Next issue: Aug 2024
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


PUBLISHER

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


TRAFFIC STATS

2,688,636 unique visits
1,062,334 downloads
Since November 1, 2009



Robots online now
Baiduspider
Googlebot
DotBot
SiteExplorer
bingbot


SCOPUS CiteScore

SCOPUS CiteScore


SJR SCImago RANK

SCImago Journal & Country Rank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 24 (2024)
 
     »   Issue 2 / 2024
 
     »   Issue 1 / 2024
 
 
 Volume 23 (2023)
 
     »   Issue 4 / 2023
 
     »   Issue 3 / 2023
 
     »   Issue 2 / 2023
 
     »   Issue 1 / 2023
 
 
 Volume 22 (2022)
 
     »   Issue 4 / 2022
 
     »   Issue 3 / 2022
 
     »   Issue 2 / 2022
 
     »   Issue 1 / 2022
 
 
 Volume 21 (2021)
 
     »   Issue 4 / 2021
 
     »   Issue 3 / 2021
 
     »   Issue 2 / 2021
 
     »   Issue 1 / 2021
 
 
  View all issues  


FEATURED ARTICLE

Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
Issue 2/2022

AbstractPlus






LATEST NEWS

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.

Read More »


    
 

  4/2021 - 3

Intelligent Charging Control of Power Aggregator for Electric Vehicles Using Optimal Control

ALKAWAZ, A. N. See more information about ALKAWAZ, A. N. on SCOPUS See more information about ALKAWAZ, A. N. on IEEExplore See more information about ALKAWAZ, A. N. on Web of Science, KANESAN, J. See more information about  KANESAN, J. on SCOPUS See more information about  KANESAN, J. on SCOPUS See more information about KANESAN, J. on Web of Science, MOHD KHAIRUDDIN, A. S. See more information about  MOHD KHAIRUDDIN, A. S. on SCOPUS See more information about  MOHD KHAIRUDDIN, A. S. on SCOPUS See more information about MOHD KHAIRUDDIN, A. S. on Web of Science, CHOW, C. O. See more information about  CHOW, C. O. on SCOPUS See more information about  CHOW, C. O. on SCOPUS See more information about CHOW, C. O. on Web of Science, SINGH, M. See more information about SINGH, M. on SCOPUS See more information about SINGH, M. on SCOPUS See more information about SINGH, M. on Web of Science
 
View the paper record and citations in View the paper record and citations in Google Scholar
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 (1,684 KB) | Citation | Downloads: 886 | Views: 1,596

Author keywords
battery chargers, electric vehicle, energy consumption, lithium batteries, optimal control

References keywords
electric(18), vehicles(13), charging(11), control(9), vehicle(8), plug(8), optimal(8), smart(7), grid(7), energy(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-11-30
Volume 21, Issue 4, Year 2021, On page(s): 21 - 30
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.04003
Web of Science Accession Number: 000725107100003
SCOPUS ID: 85122254802

Abstract
Quick view
Full text preview
Electric Vehicles (EVs) have been shown to be better for the environment since they emit lesser air pollutants compared to fuel-based vehicles. High penetration of EVs in the distribution network contributes to the increment of capital investment in smart grid technologies. This is because EVs' charging operation involves a considerably high level of electricity due to the size of EVs' battery charging period. Poor scheduling of EVs charging operation will lead to an increment in electricity consumption. This will then lead to overloading of distribution network, voltage quality degradation, power loss increment, and dispatch of uneconomical energy sources. Hence, coordinated, and smart charging schemes are vital in order to reduce charging costs. This paper proposes an optimized EV battery charging and discharging scheduling model using an ordinary differential equation (ODE) based on three charging scenarios. The daily charging and discharging schedule of EVs are optimized using optimal control. The result shows that the proposed optimized charging and discharging scheduling model reduces the charging cost up to approximately 50%.


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

[1] F. Perera, "Pollution from fossil-fuel combustion is the leading environmental threat to global pediatric health and equity: solutions exist," International journal of environmental research and public health, vol. 15, no. 1, p. 16, 2018.
[CrossRef] [Web of Science Times Cited 549] [SCOPUS Times Cited 697]


[2] J. A. P. Lopes, F. J. Soares, and P. M. R. Almeida, "Integration of electric vehicles in the electric power system," Proceedings of the IEEE, vol. 99, no. 1, pp. 168-183, 2010
[CrossRef] [Web of Science Times Cited 930] [SCOPUS Times Cited 1218]


[3] J. J. A. Saldanha, E. M. Dos Santos, A. P. C. De Mello, and D. P. Bernardon, "Control strategies for smart charging and discharging of plug-in electric vehicles," Smart Cities Technologies, vol. 1, 2016.
[CrossRef] [Web of Science Times Cited 6]


[4] G. Liu, L. Kang, Z. Luan, J. Qiu, and F. Zheng, "Charging station and power network planning for integrated electric vehicles (EVs)," Energies, vol. 12, no. 13, p. 2595, 2019.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 39]


[5] C. Jin, J. Tang, and P. Ghosh, "Optimizing electric vehicle charging: A customer's perspective," IEEE Transactions on Vehicular Technology, vol. 62, no. 7, pp. 2919-2927, 2013.
[CrossRef] [Web of Science Times Cited 180] [SCOPUS Times Cited 225]


[6] Y. Cao, L. Huang, Y. Li, K. Jermsittiparsert, H. Ahmadi-Nezamabad, and S. Nojavan, "Optimal scheduling of electric vehicles aggregator under market price uncertainty using robust optimization technique," International Journal of Electrical Power & Energy Systems, vol. 117, p. 105628, 2020.
[CrossRef] [Web of Science Times Cited 92] [SCOPUS Times Cited 145]


[7] S. Tabatabaee, S. S. Mortazavi, and T. Niknam, "Stochastic scheduling of local distribution systems considering high penetration of plug-in electric vehicles and renewable energy sources," Energy, vol. 121, pp. 480-490, 2017.
[CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 107]


[8] M. Mazidi, A. Abbaspour, M. Fotuhi-Firuzabad, and M. Rastegar, "Optimal allocation of PHEV parking lots to minimize distribution system losses," in 2015 IEEE Eindhoven PowerTech, 2015: IEEE, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 11]


[9] A. Dogan, S. Bahceci, F. Daldaban, and M. Alci, "Optimization of charge/discharge coordination to satisfy network requirements using heuristic algorithms in vehicle-to-grid concept," Advances in Electrical and Computer Engineering, vol. 18, no. 1, pp. 121-130, 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 10] [SCOPUS Times Cited 15]


[10] B. Geng, J. K. Mills, and D. Sun, "Two-stage charging strategy for plug-in electric vehicles at the residential transformer level," IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 1442-1452, 2013.
[CrossRef] [Web of Science Times Cited 68] [SCOPUS Times Cited 82]


[11] P. Chanhom, S. Nuilers, and N. Hatti, "A new V2G control strategy for load factor improvement using smoothing technique," Advances in Electrical and Computer Engineering, vol. 17, no. 3, pp. 43-50, 2017.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[12] W. Yao, J. Zhao, F. Wen, Y. Xue, and G. Ledwich, "A hierarchical decomposition approach for coordinated dispatch of plug-in electric vehicles," IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2768-2778, 2013.
[CrossRef] [Web of Science Times Cited 166] [SCOPUS Times Cited 230]


[13] W. Qi, Z. Xu, Z.-J. M. Shen, Z. Hu, and Y. Song, "Hierarchical coordinated control of plug-in electric vehicles charging in multifamily dwellings," IEEE Transactions on Smart Grid, vol. 5, no. 3, pp. 1465-1474, 2014.
[CrossRef] [Web of Science Times Cited 77] [SCOPUS Times Cited 108]


[14] R. Khatami, M. Parvania, and K. Oikonomou, "Continuous-time optimal charging control of plug-in electric vehicles," in 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2018: IEEE, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 16]


[15] H. M. Y. Naeem, A. I. Bhatti, Y. A. Butt, and Q. Ahmed, "Velocity Profile optimization of an Electric Vehicle (EV) with Battery Constraint Using Pontryagin's Minimum Principle (PMP)," in 2019 IEEE Conference on Control Technology and Applications (CCTA), 2019: IEEE, pp. 750-755.
[CrossRef] [SCOPUS Times Cited 6]


[16] Q. Li, J. Zou, and L. Li, "Optimum operation on electric vehicles considering battery degradation in V2G system," in 2017 36th Chinese Control Conference (CCC), 2017: IEEE, pp. 2835-2840.
[CrossRef] [SCOPUS Times Cited 4]


[17] 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, no. 1, pp. 65-72, 2010.
[CrossRef] [Web of Science Times Cited 749] [SCOPUS Times Cited 992]


[18] G. K. Venayagamoorthy, P. Mitra, K. Corzine, and C. Huston, "Real-time modeling of distributed plug-in vehicles for V2G transactions," in 2009 IEEE Energy Conversion Congress and Exposition, 2009: IEEE, pp. 3937-3941.
[CrossRef] [SCOPUS Times Cited 69]


[19] Z. Li, M. Chowdhury, P. Bhavsar, and Y. He, "Optimizing the performance of vehicle-to-grid (V2G) enabled battery electric vehicles through a smart charge scheduling model," International Journal of Automotive Technology, vol. 16, no. 5, pp. 827-837, 2015.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 41]


[20] Z. Miljanic, V. Radulovic, and B. Lutovac, "Efficient placement of electric vehicles charging stations using integer linear programming," Advances in Electrical and Computer Engineering, vol. 18, no. 2, pp. 11-16, 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]


[21] Y. Parvini and A. Vahidi, "Optimal charging of ultracapacitors during regenerative braking," in 2012 IEEE International Electric Vehicle Conference, 2012: IEEE, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 25]


[22] S. Bashash, S. J. Moura, J. C. Forman, and H. K. Fathy, "Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity," Journal of power sources, vol. 196, no. 1, pp. 541-549, 2011.
[CrossRef] [Web of Science Times Cited 266] [SCOPUS Times Cited 320]


[23] B. Suthar, V. Ramadesigan, S. De, R. D. Braatz, and V. R. Subramanian, "Optimal charging profiles for mechanically constrained lithium-ion batteries," Physical Chemistry Chemical Physics, vol. 16, no. 1, pp. 277-287, 2014.
[CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 55]


[24] T. Lan, J. Hu, Q. Kang, C. Si, L. Wang, and Q. Wu, "Optimal control of an electric vehicle's charging schedule under electricity markets," Neural Computing and Applications, vol. 23, no. 7, pp. 1865-1872, 2013.
[CrossRef] [Web of Science Times Cited 19] [SCOPUS Times Cited 25]


[25] Y. Parvini and A. Vahidi, "Maximizing charging efficiency of lithium-ion and lead-acid batteries using optimal control theory," in 2015 American Control Conference (ACC), 2015: IEEE, pp. 317-322.
[CrossRef] [SCOPUS Times Cited 46]


[26] "High energy lithium-ion cell " in "VL 45 E cell" PACIFIC & CO., Saft Communication Department 2015. [Online] Available: Temporary on-line reference link removed - see the PDF document

[27] Nord pool Spot Market area [Online] Available: Temporary on-line reference link removed - see the PDF document



References Weight

Web of Science® Citations for all references: 3,314 TCR
SCOPUS® Citations for all references: 4,497 TCR

Web of Science® Average Citations per reference: 118 ACR
SCOPUS® Average Citations per reference: 161 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 2024-07-14 08:26 in 170 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: 


DNS Made Easy