Innovative appraisement of smart grid operation considering large-scale integration of electric vehicles enabling V2G and G2V systems

Electric Power Systems Research

Volumn 154, Issue , 2018, Pages 245-256

  Mozafar, Mostafa Rezaei ^a   Amini, M Hadi ^b,c   Moradi, M Hasan ^d  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c SUN YAT SEN UNIVERSITY   (China)

^d BU ALI SINA UNIVERSITY   (Iran)

Author keywords

Battery utilization; Electric range; Electric vehicle; G2V; Reliability; Smart power distribution network; Stability; V2G

Indexed keywords

CHARGING (BATTERIES); CONVERGENCE OF NUMERICAL METHODS; ELECTRIC BATTERIES; ELECTRIC DISCHARGES; ELECTRIC LOAD FLOW; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC VEHICLES; FOSSIL FUELS; INTERNAL COMBUSTION ENGINES; LITHIUM-ION BATTERIES; RELIABILITY; RELIABILITY ANALYSIS; SECONDARY BATTERIES; STOCHASTIC SYSTEMS; SYSTEM STABILITY; VEHICLES;

AVERAGE SERVICE AVAILABILITY INDEX; DISTRIBUTION NETWORK OPERATION; ELECTRIC RANGE; INTERRUPTION FREQUENCY INDEX; SMART POWER; STABILITY AND RELIABILITIES; SYSTEM AVERAGE INTERRUPTION DURATION INDEX; SYSTEM AVERAGE INTERRUPTION FREQUENCY INDICES;

SMART POWER GRIDS;

EID: 85028836050     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2017.08.024     Document Type: Article

References (34)

1. Reisinger, R., Emadi, A., Sensible transportation electrification: get rid of inefficient powertrain designs. IEEE Electr. Mag. 1:2 (2013), 6–12.
2. Office of Integrated Analysis and Forecasting, U.S. Department of Energy, International Energy Outlook 2011: Energy Information Administration (EIA). 2011, Office of Integrated Analysis and Forecasting, U.S. Department of Energy, Washington, DC.
3. Sheldon, Tamara L., Deshazo, J.R., Carson, Richard T., Designing Policy Incentives for Cleaner Technologies: Lessons from California's Plug-In Electric Vehicle Rebate Program. 2016, Luskin School of Public Affairs, University of California, Los Angeles.
4. Harrison, G., Thiel, Ch., An exploratory policy analysis of electrical vehicle sales competition and sensitivity to infrastructure in Europe. Tech. Forecast. Social Change, 2016, 10.1016/j.techfore.2016.08.007.
5. Rezai, Elham Akhavan, Shaabani, M., El-Saadany, E., Karray, F., Online intelligent demand management of plug-in electric vehicles in future smart parking lots. IEEE Syst. J. 10 (2015), 483–494.
6. Leou, R.-C., Optimal charging/discharging control for electric vehicles considering power system constraints and operation costs. IEEE Trans. Power Syst. 31 (2015), 1854–1860.
7. U.S. Department of Transportation, 2009 – National Household Travel Survey. 2009, Federal Highway Administration Available: 〈 http://nhts.ornl.gov〉 [online].
8. Habib, S., Kamran, M., Rashid, U., Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution network—a review. J. Power Sources 277 (2015), 205–214.
9. Florian, Salah, et al. Pricing of demand flexibility: Exploring the impact of Electric Vehicle customer diversity. European Energy Market (EEM), 2016 13th International Conference on the. IEEE, 2016.
10. Amini, M.H., et al. Evaluating the effect of demand response programs and fuel cost on PHEV owners behavior, a mathematical approach. Smart Grids (ICSG), 2012 2nd Iranian Conference on. IEEE, 2012.
11. Amini, M. Hadi, Parsa Moghaddam, Mohsen, Karabasoglu, Orkun, Simultaneous allocation of electric vehicles’ parking lots and distributed renewable resources in smart power distribution networks. Sustainable Cities Soc. 28 (2017), 332–342.
12. Xydas, E., Marmaras, Ch., Cipcigan, L., Jenkins, N., Carroll, S., Barker, M., A data-driven approach for characteristing the charging demand of electric vehicles: a UK case study. Appl. Energy 162 (2016), 763–771.
13. Tortos, J.Q., Ochoa, L.F., Alnaser, S.W., Butler, T., Control of EV charging points for thermal and voltage management pf LV networks. IEEE Trans. Power Syst. 31 (2015), 3028–3039.
14. Rezaei Mozafar, M., Moradi, M.H., Amini, M.H., A simultaneous approach for optimal allocation of renewable energy sources and electric vehicle charging stations in smart grids based on improved GA-PSO algorithm. Sustainable Cities Soc. 32 (2017), 627–637.
15. Amini, M.H., Islam, Arif, Allocation of electric vehicles’ parking lots in distribution network. Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES. IEEE, 2014.
16. Amin, Mohsenzadeh, et al. Optimal siting and sizing of electric vehicle public charging stations considering smart distribution network reliability. North American Power Symposium (NAPS), 2015. IEEE, 2015.
17. Majidpour, M., Qiu, Ch., Chu, P., Pota, H., Gadh, R., Forecasting the EV charging load based on customer profile or station measurement. Appl. Energy 163 (2016), 134–141.
18. Xu, N.Z., Chung, C.Y., Reliability evaluation of distribution systems including vehicle-to-home and vehicle-to-grid. IEEE Trans. Power Syst. 31 (2015), 759–768.
19. Peng, Ch., Zou, J., Lian, L., Li, L., An optimal dispatching strategy for V2G aggregator participating in supplementary frequency regulation considering EV driving demand and aggregator's benefits. Appl. Energy 190 (2017), 591–599.
20. Min Zh, Qiuyu Ch, Jiajia X, Weiwei Y, Shu N, “Study on influence of large-scale electric vehicle charging and discharging load on distribution system,” Electricity Distribution (CICED), China International Conference, September 2016.
21. Amini, M.H., Kargarian, A., Karabasoglu, O., ARIMA-based decoupled time series forecasting of electric charging demand for stochastic power system operation. Electr. Power Syst. Res. 140 (2016), 378–390.
22. Pei, W., Du, Y., Deng, W., Sheng, K., Xiao, H., Qu, H., Optimal bidding strategy and intra-market mechanism of microgrid aggregator in real-time balancing market. IEEE Trans. Ind. Infrom. 12 (2016), 587–596.
23. Petit, M., Prada, E., Sauvant-Moynot, V., Development of an empirical aging model for Li-ion batteries and application to assess the impact of vehicle-to-grid strategies on battery lifetime. Appl. Energy 172 (2016), 398–407.
24. Pasaoglu, G., Fiorello, D., Zani, L., Martino, A., Zurbayeva, A., Thiel, C., Projections for Electric Vehicle Load Profiles in Europe Based on Travel Survey Data. 2013, European Commission, Publications Office of the European Union, Luxemburg.
25. Pasaoglu, G., Fiorello, D., Martino, A., Scarcella, G., Alemanno, A., Zurbayeva, A., Thiel, C., Driving and parking patterns of European car drivers-a mobility survey, JRC scientific and policy reports. Rep. EUR 25627 EN, 2012, European Commission, Petten, Netherlands.
26. Bierau, F., Perlo, P., Muller, B., Gomez, A., Coosemans, T., Meyer, G., Opportunities for European SMEs in global electric vehicle supply chains in Europe and beyond. Adv. Microsyst. Automotive Appl. 1 (2015), 223–235.
27. RWTH Aachen, “WP 1.3: Parameter manual,” Grid for vehicles project. [online]. Available: 〈 http://g4v.eu/download.html〉 Accessed on March 10, 2017.
28. Ehsani, M., Falahi, M., Lotfifard, S., Vehicle to grid services: potential and applications. Energies 5:10 (2012), 4076–4090.
29. Sun, F., Xiong, R., He, H., A systematic state-of-charge estimation framework for multi-cell battery pack in electric vehicles using bias correction technique. Appl. Energy 162 (2016), 1399–1409.
30. Billington, R., Allan, R.N., Reliability Evaluation of Power Systems. Second ed., 1996, Plenum Press, New York, NY.
31. Bodo, Nandor, et al. Efficiency evaluation of fully integrated on-board EV battery chargers with nine-phase machines. IEEE Trans. Energy Conv. 32.1 (2017), 257–266.
32. Independent Electricity System Operator Power Data, Accessed on March 2017, Available Online: http://www.ieso.ca/Pages/Power-Data/default.aspx.
33. Diao, Weiping, Xue, Nan, Bhattacharjee, Vikram, Jiang, Jiuchun, Karabasoglu, Orkun, Pecht, Michael, Active battery cell equalization based on residual available energy maximization. Appl. Energy, 2017, 10.1016/j.apenergy.2017.07.137 ISSN 0306-2619.
34. Diao, Weiping, et al. Flexible grouping for enhanced energy utilization efficiency in battery energy storage systems. Energies, 9.7, 2016, 498.