References
- “Climate Change: Global Temperature NOAA Climate.gov”. https://www.climate.gov/news-features/understanding-climate/climate-change-global-temperature (accessed Jul. 17, 2020).
- Höök M, Tang X. Depletion of fossil fuels and anthropogenic climate change-A review. Energy Policy. 2013;52:797–809. doi:https://doi.org/10.1016/j.enpol.2012.10.046.
- Eia. Transportation sector energy consumption Figure 8-1. Delivered transportation energy consumption by country grouping, 2012-40 (quadrillion Btu), 2018. Accessed: Jul. 07, 2020. [Online]. Available: https://www.eia.gov/outlooks/ieo/pdf/transportation.pdf.
- WHO. Transport, Environment and Health. World Health Organization. Regional Office for Europe. 2008;2008(2):1–87. Accessed: Aug. 05, 2020. [Online]. Available: www.euro.who.int.
- Leach F, Kalghatgi G, Stone R, et al. The scope for improving the efficiency and environmental impact of internal combustion engines. Transp. Eng. 2020;1:100005. doi:https://doi.org/10.1016/j.treng.2020.100005.
- Nazaripouya H, Wang B, Black D. Electric vehicles and climate change: additional contribution and improved Economic justification. IEEE Electrif. Mag. 2019;7(2):33–39. doi:https://doi.org/10.1109/MELE.2019.2908792.
- Yilmaz M, Krein PT. Review of the impact of vehicle-to-grid technologies on distribution systems and utility interfaces. IEEE Trans. Power Electron. 2013;28(12):5673–5689. doi:https://doi.org/10.1109/TPEL.2012.2227500.
- Richardson DB. Electric vehicles and the electric grid: A review of modeling approaches, impacts, and renewable energy integration. Renew. Sustain. Energy Rev. 2013;19:247–254. doi:https://doi.org/10.1016/j.rser.2012.11.042.
- Liu H, Qi J, Wang J, et al. EV Dispatch Control for supplementary frequency regulation considering the expectation of EV owners. IEEE Trans Smart Grid. 2018;9(4):3763–3772. doi:https://doi.org/10.1109/TSG.2016.2641481.
- Saiteja K, Krishnarayalu MS. Load frequency Control of Two-area smart grid. Int. J. Comput. Appl. 2015;117(14):1–9. doi:https://doi.org/10.5120/20619-3323.
- Lin J, Leung KC, Li VOK. Optimal scheduling with vehicle-to-grid regulation service. IEEE Internet Things J. 2014;1(6):556–569. doi:https://doi.org/10.1109/JIOT.2014.2361911.
- Wang X, He ZY, Yang JW. Unified strategy for electric vehicles participate in voltage and frequency regulation with active power in city grid. IET Gener. Transm. Distrib. 2019;13(15):3281–3291. doi:https://doi.org/10.1049/iet-gtd.2018.7016.
- Huang Q, Wang X, Fan J, et al. V2g optimal scheduling of multiple EV aggregator based on TOU electricity price. Proc. - 2019 IEEE Int. Conf. Environ. Electr. Eng. 2019 IEEE Ind. Commer. Power Syst. Eur. EEEIC/I CPS Eur. 2019;2019(1):1–6. doi:https://doi.org/10.1109/EEEIC.2019.8783654.
- Zhang W, Spence K, Shao R, et al. Optimal scheduling of spinning reserve and user cost in vehicle-to-grid (V2G) systems. 2018 IEEE Energy Convers. Congr. Expo. ECCE. 2018;2018:1058–1064. doi:https://doi.org/10.1109/ECCE.2018.8558391.
- He Y, Venkatesh B, Guan L. Optimal scheduling for charging and discharging of electric vehicles. IEEE Trans Smart Grid. 2012;3(3):1095–1105. doi:https://doi.org/10.1109/TSG.2011.2173507.
- Wang B, Hu Y, Xiao Y, et al. An EV charging scheduling mechanism based on price negotiation. Futur. Internet. 2018;10(5). doi:https://doi.org/10.3390/fi10050040.
- Jian L, Zheng Y, Shao Z. High efficient valley-filling strategy for centralized coordinated charging of large-scale electric vehicles. Appl Energy. 2017;186:46–55. doi:https://doi.org/10.1016/j.apenergy.2016.10.117.
- Liang H, Liu Y, Li F, et al. Dynamic economic/emission Dispatch including PEVs for peak shaving and valley filling. IEEE Trans. Ind. Electron. 2019;66(4):2880–2890. doi:https://doi.org/10.1109/TIE.2018.2850030.
- Alam MJE, Muttaqi KM, Sutanto D. A controllable local peak-shaving strategy for effective utilization of PEV battery capacity for distribution network support. IEEE Trans. Ind. Appl. 2015;51(3):2030–2037. doi:https://doi.org/10.1109/TIA.2014.2369823.
- Erden F, Kisacikoglu MC, Erdogan N. Adaptive V2G peak shaving and smart charging Control for grid integration of PEVs. Electr. Power Components Syst. 2018;46(13):1494–1508. doi:https://doi.org/10.1080/15325008.2018.1489435.
- Tan KM, Ramachandaramurthy VK, Yong JY, et al. Minimization of load variance in power grids-investigation on optimal vehicle-to-grid scheduling. Energies. 2017;10(11):1–21. doi:https://doi.org/10.3390/en10111880.
- Ioakimidis CS, Thomas D, Rycerski P, et al. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot. Energy. 2018;148:148–158. doi:https://doi.org/10.1016/j.energy.2018.01.128.
- Jian L, Xue H, Xu G, et al. Regulated charging of plug-in hybrid electric vehicles for minimizing load variance in household smart microgrid. IEEE Trans. Ind. Electron. 2013;60(8):3218–3226. doi:https://doi.org/10.1109/TIE.2012.2198037.
- Jian L, Zheng Y, Xiao X, et al. Optimal scheduling for vehicle-to-grid operation with stochastic connection of plug-in electric vehicles to smart grid. Appl Energy. 2015;146:150–161. doi:https://doi.org/10.1016/j.apenergy.2015.02.030.
- Liu BC, Ieee M, Chau KT, et al. Opportunities and challenges of vehicle-to-home, vehicle-to-grid technologies. Proceedings of the IEEE. 2013;101:2409–2427. doi:https://doi.org/10.1109/JPROC.2013.2271951.
- Gough R, Dickerson C, Rowley P, et al. Vehicle-to-grid feasibility: A techno-economic analysis of EV-based energy storage. Appl Energy. 2017;192:12–23. doi:https://doi.org/10.1016/j.apenergy.2017.01.102.
- Sovacool B, Axsen J, Kempton W. Tempering the promise of electric mobility? A sociotechnical review and research agenda for vehicle-grid-integration (VGI) and vehicle-to-grid (V2G). Annu. Rev. Environ. Resour. 2017;42(August):16.1–16.30. doi:https://doi.org/10.1146/annurev-environ-030117-020220.
- Sarabi S, Davigny A, Courtecuisse V, et al. Potential of vehicle-to-grid ancillary services considering the uncertainties in plug-in electric vehicle availability and service/localization limitations in distribution grids. Appl Energy. 2016;171:523–540. doi:https://doi.org/10.1016/j.apenergy.2016.03.064.
- Tan KM, Ramachandaramurthy VK, Yong JY. Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques. Renew. Sustain. Energy Rev. 2016;53:720–732. doi:https://doi.org/10.1016/j.rser.2015.09.012.
- Senjyu T, Mandal P, Uezato K, et al. Using hybrid correction method. Power. 2005;20(1):102–109.
- Cho H, Goude Y, Brossat X, et al. Modeling and forecasting daily electricity load curves: A hybrid approach. J. Am. Stat. Assoc. 2013;108(501):7–21. doi:https://doi.org/10.1080/01621459.2012.722900.
- Higgs B, Abbas M. Segmentation and clustering of car-following behavior: recognition of driving patterns. IEEE Trans. Intell. Transp. Syst. 2015;16(1):81–90. doi:https://doi.org/10.1109/TITS.2014.2326082.
- The International Council on Clean Transportation. Global and U.S. electric vehicle trends. Int. Counc. Clean Transp. 2019: 1–22.
- “Tesla Model 3 - Wikipedia.”. https://en.m.wikipedia.org/wiki/Tesla_Model_3 (accessed Aug. 01, 2020).
- “Chevrolet Bolt - Wikipedia.”. https://en.m.wikipedia.org/wiki/Chevrolet_Bolt#Specifications (accessed Aug. 01, 2020).
- “Nissan Leaf - Wikipedia.”. https://en.m.wikipedia.org/wiki/Nissan_Leaf (accessed Aug. 01, 2020).
- “Volkswagen e-Golf price and specifications - EV Database.”. https://ev-database.org/car/1087/Volkswagen-e-Golf (accessed Aug. 01, 2020).
- Kim HT, Jin YG, Yoon YT. An Economic Analysis of Load Leveling with Battery Energy Storage Systems (BESS) in an Electricity Market Environment: The Korean Case. 2019.