The large-scale integration of electric vehicles (EVs) into modern power grid brings both challenges and opportunities to the performance of the systems. This paper presents an optimal static (when EV is stationary) charging scheduling scheme of EVs to minimize the charging cost while complying with the constraints related to the status of the charging station. The proposed systematic charging scheme is based on “Particle Swarm Optimization (PSO)”. It is compared with well-established algorithms such as “Arrival Time-Based priority (ATP) algorithm” and “SOC-Based Priority (SBP) algorithm”. In addition, a microgrid scenario is further considered for reducing the consumption of energy from the grid and also, reducing the charging cost by properly shifting the EV load. Based on the study carried out for a sample test cases considered, it is found that the proposed scheme has better performance compared to the existing schemes.
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OECD/IEA, IRENA (2017) Perspectives for the Energy Transition: Investment Needs for a Low-Carbon Energy System. Int Energy Agency
Boulanger AG, Chu AC, Maxx S, Waltz DL (Jun. 2011) Vehicle electrification: Status and issues. Proc IEEE 99(6):1116–1138. https://doi.org/10.1109/JPROC.2011.2112750
Un-Noor F, Padmanaban S, Mihet-Popa L, Mollah MN, Hossain E (2017) A comprehensive study of key electric vehicle (EV) components technologies challenges impacts and future direction of development. Energies 10(8):12–17. https://doi.org/10.3390/en10081217
Rastegarfar N, Kashanizadeh B, Vakilian M, Barband SA (2013) Optimal placement of fast charging station in a typical microgrid in Iran. International Conference on the European Energy Market EEM. https://doi.org/10.1109/EEM.2013.6607284
Elbasuony GS, Aleem SHEA, Ibrahim AM, Sharaf AM (2018) A unified index for power quality evaluation in distributed generation systems. Energy 149:607–622. https://doi.org/10.1016/j.energy.2018.02.088
Martinenas S, Knezovic K, Marinelli M (2016) Management of power quality issues in low voltage networks using electric vehicles: Experimental validation. IEEE Trans Power Del PP(99):1–9. https://doi.org/10.1109/TPWRD.2016.2614582
Guille C, Gross G (2008) Design of a conceptual framework for the v2g implementation. Proceedings of IEEE Energy 2030:17–18. https://doi.org/10.1109/ENERGY.2008.4781057
Li F, Qiao W, Sun H, Wan H, Wang J, Xia Y, Xu Z, Zhang P (2010) Smart transmission grid: Vision and framework. IEEE Trans SmartGrid 1(2):168–177. https://doi.org/10.1109/TSG.2010.2053726
Shrestha GB, Ang SG (2007) A study of electric vehicle battery charging demand in the context of Singapore. Proc Int Power Eng Conf:64–69
Ma Z, Callaway D, Hiskens I (2013) Decentralized charging control for large populations of plug-in electric vehicles. IEEE Trans Control Syst Technol 21(1):67–78. https://doi.org/10.1109/TCST.2011.2174059
Liu H, Hu Z, Song Y, Wang J, Xie X (2015) Vehicle-to-grid control for supplementary frequency regulation considering charging demands. IEEE Trans Power Syst 30(6):3110–3119. https://doi.org/10.1109/TPWRS.2014.2382979
Vagropoulos SI, Kyriazidis DK, Bakirtzis AG (2016) Realtime charging management framework for electric vehicle aggregator in a market environment. IEEE Trans Smart Grid 7(2):948–957. https://doi.org/10.1109/TSG.2015.2421299
Wang G, Xu Z, Wen F, Wong KP (2013) Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations. IEEE Trans Power Deliv 28:2363–2372. https://doi.org/10.1109/TPWRD.2013.2269142
Yang J, He L, Fu S (2014) An improved PSO-based charging strategy of electric vehicles in electrical distribution grid. Appl Energy 128:82–92. https://doi.org/10.1016/j.apenergy.2014.04.047
Hua L, Wang J, Zhou C (2014) Adaptive Electric Vehicle Charging Coordination on Distribution Network. IEEE Trans Smart Grid 5:2666–2675. https://doi.org/10.1109/TSG.2014.2336623
Kristoffersen TK, Capion K, Meibom P (2011) Optimal charging of electric drive vehicles in a market environment. Appl Energy 88:1940–1948. https://doi.org/10.1016/j.apenergy.2010.12.015
Moeini-Aghtaie M, Abbaspour A, Fotuhi-Firuzabad M (2014) Online Multicriteria Framework for Charging Management of PHEVs. IEEE Trans Veh Technol 63:3028–3037. https://doi.org/10.1109/TVT.2014.2320963
Cao Y, Tang S, Li C, Zhang P, Tan Y, Zhang Z et al (2012) An Optimized EV Charging Model Considering TOU Price and SOC Curve. IEEE Trans Smart Grid 3:388–393. https://doi.org/10.1109/TSG.2011.2159630
Lopes JAP, Soares FJ, Almeida PMR (2011) Integration of Electric Vehicles in the Electric Power System. Proc IEEE 99:168–183. https://doi.org/10.1109/JPROC.2010.2066250
Flemish regulator for the energy and gas markets (VREG). Available: http://www.vreg.be. Accessed 2018, May
Tang Q, Xie M, Yang K et al (2018) A Decision Function Based Smart Charging and Discharging Strategy for Electric Vehicle in Smart Grid. Mobile Networks and Applications:1–10. https://doi.org/10.1007/s11036-018-1049-4
Leemput N, Van Roy J, Geth F, Tant P, Driesen J (2011) Comparativeanalysis of coordination strategies for electric vehicles,” in Proc. IEEE, PES Innovative Smart Grid Technologies (ISGT) Europe, Manchester. 10.1109/ISGTEurope.2011.6162778
Jian L, Xue H, Xu G, Zhu X, Zhao D, Shao Z (2013) Regulated chargingof plug-in hybrid electric vehicles for minimizing load variance in household smart micro-grid. IEEE Trans Ind Electron 60(8):3218–3226. https://doi.org/10.1109/TIE.2012.2198037
Derakhshandeh S, Masoum A, Deilami S, Masoum M, HamedaniGolshan M (2013) Coordination of generation scheduling with PEVs charging in industrial micro grids. IEEE Trans Power Syst 28(3):3451–3461. https://doi.org/10.1109/TPWRS.2013.2257184
Bozchalui M, Sharma R (2012) Analysis of electric vehicles asmobile energy storage in commercial buildings: Economic andenvironmental impacts. Proc. IEEE PES General Meeting, San Diego. https://doi.org/10.1109/PESGM.2012.6345703
Jerram L, Gartner J (2012) Electric vehicle charging equipment. Navigant Research, London, Tech. Rep.
Morrowa K, Karnerb D, Francfort J (2008) Plug-in Hybrid Electric Vehicle Charging Infrastructure Review. U.S. Department of Energy Vehicle Technologies Program, Final Rep
(2013) Plug-In electric vehicle handbook for Public Charging Station Hosts. US Department of Energy, p. 1–20
Electric vehicle Chargers for your business. Available: https://www.evsolutions.com/ev-charging-products-for-business. Accessed: Sept. 13, 2018
Zheng J, Wang X, Men K, Zhu C, Zhu S (2013) Aggregation Model-Based Optimization for Electric Vehicle Charging Strategy. IEEE Trans Smart Grid 4:1058–1066. https://doi.org/10.1109/TSG.2013.2242207
De Schepper E, van Passel S, Lizin S (2015) Economicbenefits of combining clean energy technologies: the case of solar photovoltaic and battery electric vehicles. Int J Energy Res 39(8):1109–1119. https://doi.org/10.1002/er.3315
Zhou W, Wu J, Zhong W et al (2018) Optimal and Elastic Energy Trading for Green Microgrids: a two-Layer Game Approach. Mobile Networks and Applications:1–12. https://doi.org/10.1007/s11036-018-1027-x
Papathanassiou S, Hatziargyriou N, Strunz K (2005) A benchmark LV microgrid for steady state and transient analysis. CIGRE Symp. Power System Dispersed Generation, Athens
Bhuvaneswari R Srivastava SK Edrington CS Cartes DA, Subramanian S (2010) Intelligent agent based auction by economic generation scheduling for microgrid operation. 2010 Innovative Smart Grid Technologies (ISGT) Gaithersburg MD USA pp. 1–6
https://www.epexspot.com/en/extras/download-center/market_data. Accessed: Sept. 13, 2018
Xu H, Nguyen HK, Zhou X et al (2018) Charging Control of Electric Vehicles in Smart Grid: a Stackelberg Differential Game Based Approach. Mobile Network and Applications:1–9. https://doi.org/10.1007/s11036-018-1125-9
del VY, Venayagamoorthy GK, Mohagheghi S, Hernandez J, Harley RG (2008) Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems. IEEE Trans Evol Comput 12:171–195. https://doi.org/10.1109/TEVC.2007.896686
Sharaf AM, Mavalizadeh H, Ahmadi A, Gandoman FH, Homaee O, Shayanfar HA (2018) Chapter 3 - Application of New Fast, Efficient-Self adjusting PSO-Search Algorithms in Power Systems’ Studies. In: Zobaa AF, Abdel Aleem She, Abdelaziz AYBT-C and RA of PSO, editors., Academic Press, p. 33–61. doi: https://doi.org/10.1016/B978-0-12-812441-3.00003-3
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Savari, G.F., Krishnasamy, V., Sugavanam, V. et al. Optimal Charging Scheduling of Electric Vehicles in Micro Grids Using Priority Algorithms and Particle Swarm Optimization. Mobile Netw Appl 24, 1835–1847 (2019). https://doi.org/10.1007/s11036-019-01380-x
- Charging stations
- Electric vehicles
- Priority algorithms