INTEGRATION OF ELECTRIC VEHICLES TO EXISTING NETWORKS AND THEIR IMPACTS

Amar Saraswat; Ajay Kumar; Praveen M

INTEGRATION OF ELECTRIC VEHICLES TO EXISTING NETWORKS AND THEIR IMPACTS

Authors

Amar Saraswat K.R. Mangalam University, Gurugram, Haryana, INDIA
Ajay Kumar Sandip University (Sijoul)
Praveen M Sri Siddhartha Academy of Higher Education

Keywords:

Engineering, Vehicle to Grid, Load flow, Vehicles Scheduling

Abstract

The current transportation network was pressured to migrate from gasoline-powered cars to Electric Vehicles (EVs) to reduce emissions due to the environment. Hence, electronic cars will dominate future transportation networks. (EVs). Yet, unrestricted EV use in key infrastructure is disrupting power system operation. Electric vehicles can help fix the infrastructure's energy storage problem (EVs). Vehicles may help the grid by transferring energy or altering battery charge rates. Vehicle-to-grid (V2G) technology refers to this. V2G requires a large vehicle inventory and a dependable communication network. Management and monitoring require a lot of processing power for optimal strategic functioning. V2G is restricted in emerging nations since it uses smart grids. The electricity-producing enterprise is dominated by thermal power plants. Hence, transitioning from internal combustion engines to electric cars will put more strain on conventional generation units, shifting pollutants from tailpipes to terminals. The electricity grid has to improve production to power more cars connected to it.

References

R. K. Pachauri and L. Meyer, “Climate change 2014 synthesis report,” Intergovernmental Panel on Climate Change (IPCC), Tech. Rep., 2014.

International Energy Agency, “Energy and Air Pollution,” World Energy Outlook - Spec. Rep., p. 266, 2016.

S. T. Chen, H. I. Kuo, and C. C. Chen, “The relationship between GDP and electricity consumption in 10 Asian countries,” Energy Policy, vol. 35, no. 4, pp. 2611–2621, 2007.

S. H. Yoo, “The causal relationship between electricity consumption and economic growth in the ASEAN countries,” Energy Policy, vol. 34, no. 18, pp. 3573–3582, 2006.

IEA, “World energy outlook 2014 factsheet,” International Energy Agency(iea), International Energy Agency d’z˝ 9 rue de la Fd’ ˙ z˝dd’ ˙ z˝ration d’ ˙ z˝ 75739 Pa ˙ ris Cedex 15, France d’z˝ www.iea.org, Tech. Rep., 2014. [Online]. Available: ˙ www.iea.org

Labatt and R. R. White, Carbon finance: the financial implications of climate change. John Wiley & Sons, 2011, vol. 362.

U.S. Energy Information Adinistration, “Electric Power Monthly with Data for October 2015,” Tech. Rep. January, 2015. [Online]. Available: http://www.eia.gov/electricity/monthly/pdf/epm.pdf

W. Kempton and J. Tomic, “Vehicle-to-grid power fundamentals: Calculating ´ capacity and net revenue,” Journal of Power Sources, vol. 144, no. 1, pp. 268–279, Jun. 2005. [Online]. Available: http://linkinghub.elsevier.com/retrieve/ pii/S0378775305000352

M. Zeng, S. Leng, S. Maharjan, S. Gjessing, and J. He, “An incentivized auctionbased group-selling approach for demand response management in v2g systems,” IEEE Transactions on Industrial Informatics, vol. 11, no. 6, pp. 1554–1563, 2015.

A. Hajimiragha, C. Caizares, M. Fowler, and A. Elkamel, “Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the ElectricityGrid Limitations,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 690–701, 2010.

INTEGRATION OF ELECTRIC VEHICLES TO EXISTING NETWORKS AND THEIR IMPACTS