OPTIMAL LOCATION OF EV CHARGING STATIONS IN THE DISTRIBUTION SYSTEM CONSIDERING PSO OPTIMAL TECHNIQUES

Sai Goutham Golive Research Scholar, Department of Electrical & Electronics Engineering, Annamalai University, Annamalai nagar, India, saigoutham248@gmail.com
B Paramasivam Associate Professor, Department of Electrical & Electronics Engineering, Annamalai University, Annamalai nagar, India
J Ravindra Assistant Professor, Department of Electrical & Electronics Engineering, Bapatla Engineering College, Andhra Pradesh, India

Abstract

Infrastructure for EV Charging stations and its electrification in congested cities take steps in this direction, as shown by the proliferation of metro stations, electric trams, BRT EV corridors, and general promotion of EV adoption in many countries. This is expected to lead in future to more traditional charging stations in suburban areas. The best PSO based optimal location in the IEEE-33 distribution system was proposed in this article for Electric vehicles (EV's) charging station. At provided interconnection nodes a 24-hour load demand is varied and the resulting sensitivity indexes are determined for the correct location. These indexes are derived from the Jacobian reverse matrix of the power flow test Newton-Raphson and help to determine the best charge location. The paper then used PSO optimal algorithm calculate the charging station's size. Electric cars are paid at a certain node utilizing the pricing information in real time.

 

 

 

Keywords:

EV, Charging Station, Distribution System, IEEE 33 bus.

 

 

 


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References



[1] N. Neyestani, M. Yazdani Damavandi, M. Shafie-Khah, J. Contreras, and J. Catalão, “Allocation of plug-in vehicles’ parking lots in distribution systems considering network-constrained objectives,” IEEE Trans. Power Syst., vol. PP, no. 99, pp. 1-14,Oct. 2014.
[2] S. Deilami, A. S. Masoum, P. S. Moses, and M. A. S. Masoum, “Realtime coordination of plug-in electric vehicle charging in smart grids to minimize power losses and improve voltage profile,” IEEE Trans. Smart Grid, vol. 2, no. 3, pp. 456–467, Sep. 2011.
[3] National Grid USA. (2012). National Grid Residential Load Data [Online]. Available: http://www.nationalgridus.com/energysupply.
[4] Kejun Qian, Chengke Zhou, Malcolm Allan, Yue Yuan, “Modeling of Load Demand Due to EV Battery Charging in Distribution System,” IEEE Trans. Power Systems, vol. 26, no. 2, pp. 802-810, 2011.
[5] S. Babaei, D. Steen, T. A. Le, O. Carlson, and L. Bertling, “Effects of plug-in electric vehicles on distribution systems: A real case of Gothenburg,” in Proc. IEEE Innov. Smart Grid Technol. Conf.Eur. (ISGT), Gothenburg, Sweden, Oct. 2010, pp. 1–8.
[6] M. Pipattanasomporn, S. Rahman, and S. Shao, “Grid integration of electric vehicles and demand response with customer choice,” IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 543–550, Mar. 2012.
[7] W. Kempton and J. Tomi, “Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy,” J. Power Sources, vol. 144, no. 1, pp. 280–294, Jun. 2005.
[8] E. Sortomme and M. A. El-Sharkawi, “Optimal charging strategies for unidirectional vehicle-to-grid,” IEEE Trans. Smart Grid, vol. 2, no. 1, pp. 131–138, Mar. 2011.
[9] K. C. Nyns, E. Haesen, and J. Driesen, “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.
[10] L. P. Fernandez, T. G. S. Roman, R. Cossent, C. M. Domingo, and P. Frias, “Assessment of the impact of plug-in electric vehicles on distribution networks,” IEEE Trans. Power Syst., vol. 26, no. 1, pp. 206–213,Feb. 2011.
[11] T. Kristoffersen, K. Capion, and P. Meibom, “Optimal charging of electric drive vehicles in a market environment,” Appl. Energy, vol. 88, no. 5, pp. 1940–1948, 2011.
[12] E. Sortomme and M. A. El-Sharkawi, “Optimal combined bidding of vehicle-to-grid ancillary services,” IEEE Trans. Smart Grid, vol. 3, no. 1, pp. 70–79, Mar. 2012.
[13] R. C. Green, II, L. Wang, and M. Alam, “The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook,” Renew. Sustain. Energy Rev., vol. 15, no. 1, pp. 544–553, 2011.
[14] D. B. Richardson, “Electric vehicles and the electric grid: A review of modeling approaches, impacts, and renewable energy integration,” Renew. Sustain. Energy Rev., vol. 19, pp. 247–254, Mar. 2013.
[15] Z. Hu, and Y, Song, “Distribution network expansion planning with optimal siting and sizing of electric vehicle charging stations,” Universities Power Engineering Conference (UPEC), 2012 47th International, pp. 1-6, 2012.
[16] L. Jia, Z. Hu, Y, Song, and Z. Luo “Optimal siting and sizing of electric vehicle charging stations,” IEEE International Electric Vehicle Conference, 2012, pp. 1-6, 2012.
[17] Z. Liu, F. Wen, and G. Ledwich, “Optimal Planning of Electric-Vehicle Charging Stations in Distribution Systems,” IEEE Trans. Power Delivery, vol. 28, no. 1, pp. 102-110, 2013.
[18] Y. Zheng, Z. Y. Dong, Y. Xu, K. Meng, J. H. Zhao, and J. Qiu, “Electric Vehicle Battery Charging - Swap Stations in Distribution Systems - Comparison Study and Optimal Planning,” IEEE Trans. Power System., vol. 29, no. 1, pp. 221-229, 2014.
[19] H. Zhang, Z. Hu, Z. Xu, and Y. Song, “An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area,” IEEE Trans. Smart Grid, In Press, 2015.
[20] IEEE 34 Node Test Feeder—IEEE Distribution System Analysis Subcommittee[Online].Available:http://www.ewh.ieee.org/soc/pes/dsaco m/testfeeders.html
[21] ComEd. (2012). Comed Real Time Saving [Online]. Available: https://www.thewattspot.com/rtsavings.php.
[22] Olle Suudstrom, Carl Binding, “Flexible Charging Optimization for EV Considering Distribution Grid Constraints,” IEEE Tran. Smart Grid, vol. 3, no. 1, pp. 26-37, 2012

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