Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (4): 1490-1495.doi: 10.13229/j.cnki.jdxbgxb20200367

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Real-time optimal power allocation inside electric-vehicle charging stations

Cong WANG1(),Yan MA1,Guo-guang WANG2   

  1. 1.College of Communication Engineering，Jilin University，Changchun 130022，China
    2.College of Physics，Jilin University，Changchun 130012，China
  • Received:2020-05-24 Online:2021-07-01 Published:2021-07-14

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Abstract:

In recent years, the number of electric vehicles has been drastically increasing. This situation gives rise to an urgent demand for designing a real-time optimal power allocation inside electric-vehicle charging stations. The goal of this paper is to present one possibility that addresses the aforementioned demand. First, the paper formulates the power-allocation problem as a linearly constrained non-linear optimization where the objective function is constructed via logarithm utility functions. Second, the paper mathematically shows that the optimal solution to the formulated power-allocation problem is user-friendly. Third, the paper presents an efficient algorithm that is able to obtain the optimal solution in real time. Finally, the paper validates the performance of the proposed power allocation through numerical simulations.

Key words: optimization and control, electric-vehicle charging station, real-time algorithm, optimization theory

CLC Number: 

  • TP13

Fig.1

Passive and active distribution networks"

Fig.2

Powers related to charging station"

Fig.3

Steps for computing the solution to OPT"

Fig.4

Illustration for computing OPT solution"

Table 1

Real-time performance evaluation"

小型充电站中型充电站大型充电站
小型车1.123.6214.58
中型车1.534.7920.28
大型车1.867.8325.53
小、中型车2.4514.47104.43
小、大型车2.7618.11191.37
中、大型车2.3816.64142.75
全部类型车2.4925.25310.08
1 Cheng M, Tong M. Development status and trend of electric vehicles in China[J]. Chinese Journal of Electrical Engineering, 2017, 3(2): 1-13.
2 Chowdhury S, Chowdhury S P, Crossley P. Microgrids and active distribution networks[M]. Herts, UK: The Institution of Engineering and Technology, 2009.
3 Yang Q, Yang T, Li W. Smart Power Distribution Systems: Control, Communication, and Optimization[M]. London: Academic Press, 2018.
4 Al Kaabi S S, Zeineldin H H, Khadkikar V. Planning active distribution networks considering multi-DG configurations[J]. IEEE Transactions on Power Systems, 2014, 29(2): 785-793.
5 Wu D, Tang F, Dragicevic T, et al. Autonomous active power control for islanded AC microgrids with photovoltaic generation and energy storage system[J]. IEEE Transactions on Energy Conversion, 2014, 29(4): 882-892.
6 Meliopoulos A P S, Cokkinides G, Huang R, et al. Smart grid technologies for autonomous operation and control[J]. IEEE Transactions on Smart Grid, 2011, 2(1): 1-10.
7 Lopes J A P, Soares F J, Almeida P M R. Integration of electric vehicles in the electric power system[J]. Proceedings of IEEE, 2011, 99(1): 169-183.
8 Jeong S, Jang Y J, Kum D. Economic analysis of the dynamic charging electric vehicle[J]. IEEE Transactions on Power Electronics, 2015, 30(11): 6368-6377.
9 Veldman E, Verzijlbergh R A. Distribution grid impacts of smart electric vehicle charging from different perspectives[J]. IEEE Transactions on Smart Grid, 2015, 6(1): 333-342.
10 Li Z, Guo Q, Sun H, et al. A new real-time smart-charging method considering expected electric vehicle fleet connections[J]. IEEE Transactions on Power Systems, 2014, 29(6): 3114-3115.
11 Mohsenian-Rad H, Ghamkhari M. Optimal charging of electric vehicles with uncertain departure times: a closed-form solution[J]. IEEE Transactions on Smart Grid, 2015, 6(2): 940-942.
12 Clement K, Haesen E, Driesen J. Coordinated charging of multiple plug-in hybrid electric vehicles in residential distribution grids[C]∥Proceeding of IEEE/PES Power Systems Conference and Exposition, Seattle, USA, 2009: 1-7.
13 Murphey Y L, Park J, Chen Z, et al. Intelligent hybrid vehicle power control-part I: machine learning of optimal vehicle power[J]. IEEE Transactions on Vehicular Technology, 2012, 61(8): 3519-3530.
14 Abousleiman R, Scholer R. Smart charging: system design and implementation for interaction between plug-in electric vehicles and the power grid[J]. IEEE Transactions on Transportation Electrification, 2015, 1(1): 18-25.
15 Salmasi F R. Control strategies for hybrid electric vehicles: evolution, classification, comparison, and future trends[J]. IEEE Transactions on Vehicular Technology, 2007, 56(5): 2393-2404.
16 Boche H, Naik S. Revisiting proportional fairness: anonymity among users in interference coupled wireless systems[J]. IEEE Transactions on Communications, 2010, 58(10): 2995-3000.
17 Tassiulas L, Sarkar S. Maxmin fair scheduling in wireless ad hoc networks[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(1): 163-173.
18 Boyd S, Vandenberghe L. Convex Optimization[M]. Cambridge: Cambridge University Press, 2004.
19 Murty K G. Linear Complementarity, Linear and Nonlinear Programming[M]. Berlin: Heldermann, 1988.
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