An analysis the G2V scheduling of EVA in context of grid stability & EV Owners’ Perception
Keywords:
Electric Vehicles, EV Owners', Perspectives, G2V SchedulingAbstract
There are advantages and disadvantages to incorporating electric vehicles (EVs) into power networks, particularly for Grid-to-Vehicle (G2V) charging. Examining the effects on grid stability and EV owners' perspectives, this study examines the scheduling tactics of EVAs for G2V operations. Economic and technical aspects of EVA's V2G scheduling will be covered extensively in the article. Focussing on grid stability via regulating services and the perspective of EV owners on charging cost reduction, this will be used to design an EVA static G2V scheduling algorithm. This is the static G2V charge scheduling case where EVA already knows the EV owners' charging profiles. Traditional, unregulated G2V charge scheduling is contrasted with the suggested method. Briefly discussing G2V scheduling approaches and related work in this area helps to keep things moving forward. In order to assess EVA's performance metrics, a comprehensive outline of the system architecture is given.
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References
1. A. Hernández-Arauzo, J. Puente, R. Varela, and J. Sedano, “Electric vehicle charging under power and balance constraints as dynamic scheduling”, Computers & Industrial Engineering, vol. 85, pp. 306-15, 1 Jul. 2015.
2. B. Han, S. Lu, F. Xue, and L. Jiang, “Day-ahead electric vehicle aggregator bidding strategy using stochastic programming in an uncertain reserve market”, IET Generation, Transmission & Distribution, vol. 13, no. 12, pp. 2517-25, Apr. 2019.
3. Charging infrastructure for electric vehicles: Guidelines and standards, https://powermin.nic.in/sites/default/files/webform/notices/scan0016%20%281 %29.pdf.
4. D.B. Richardson, “Encouraging vehicle-to-grid (V2G) participation through premium tariff rates”, Journal of power sources, vol. 243, pp. 219-24, 1 Dec. 2013.
5. Frade I, Ribeiro A, Gonçalves G, Antunes AP. Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal. Transportation Research Record. 2011;2252(1):91-98. doi:10.3141/2252-12.
6. G.V. Kumar, R.K. Sarojini, K. Palanisamy, S. Padmanaban, and J.B. HolmNielsen, “Large Scale Renewable Energy Integration: Issues and Solutions”, Energies, vol. 12, no. 10, pp.1996, Jan. 2019.
7. H. Hashemi-Dezaki, M. Hamzeh, H. Askarian-Abyaneh, and Haeri-Khiavi, “Risk management of smart grids based on managed charging of PHEVs and vehicle-to-grid strategy using Monte Carlo simulation”, Energy Conversion and Management, vol. 100, pp. 262-76, Aug. 2015.
8. H.M. Chung, W.T. Li, C. Yuen, C.K. Wen, N. Crespi, “Electric vehicle charge scheduling mechanism to maximize cost efficiency and user convenience”, IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 3020-30, Mar. 2018.
9. M. Esmaili, and M. Rajabi, “Optimal charging of plug-in electric vehicles observing power grid constraints”, IET Generation, Transmission & Distribution, vol. 8, no. 4, pp. 583-90, 2 Dec. 2013.
10. N.I. Nimalsiri, C.P. Mediwaththe, E.L. Ratnam, M. Shaw, D.B. Smith, S.K. Halgamuge, “A survey of algorithms for distributed charging control of electric vehicles in smart grid”, IEEE Transactions on Intelligent Transportation Systems, 2 Oct. 2019
