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Integration of Electrical Vehicles in Demands Response Program

Atif Pervez Khan, Shivani Verma, Poorvi Omer, Adarsh Singh, Rachit Srivasatava

Abstract


Demand Response (DR) schemes can benefit greatly from the assistance that Electric Vehicles can offer (EVs). Electric vehicles (EVs) can operate as a burden on the grid, a source of electricity for the grid, or a form of energy storage. Utilities are able to regulate EV charging time and tariffs, collect EVs-specific metre data, and conduct DR programmes as a result of the smart grid enabling technology. In order to coordinate the charging of electric vehicles (EVs) and provide space for DR programmes in the parking garage, a real-time charging method is suggested in this study. Because the on-off technique is used to increase EV charging speed, the scheduling of charging is presented as a binary optimization issue. A convex relaxation method is proposed as an alternative to compute the near-optimal charging schedules because exhaustive search is computationally expensive when determining the ideal solution of the binary optimization issue. Numerous simulation results demonstrate that the proposed workcan support both types of DR programmes at the parking facility while meeting the demand for EV charging. The suggested solution also has the ability to maximise the number of EVs that can be charged while lowering the associated costs.


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Qian, K., Zhou, C., Allan, M. and Yuan, Y., 2010. Modeling of load demand due to EV battery charging in distribution systems. IEEE transactions on power systems, 26(2), :802–810.

Wi, Y.M., Lee, J.U. and Joo, S.K., 2013. Electric vehicle charging method for smart homes/buildings with a photovoltaic system. IEEE Transactions on Consumer Electronics, 59(2), :323–328.I. S. Jacobs and C. P. Bean, “Fine particles, thin films and exchange anisotropy,” in Magnetism, vol. III, G. T. Rado and H. Suhl, Eds. New York: Academic, 1963, : 271–350.

Sechilariu, M., Wang, B. and Locment, F., 2012. Building integrated photovoltaic system with energy storage and smart grid communication. IEEE Transactions on Industrial Electronics, 60(4), :1607–1618.

Marra, F., Yang, G.Y., Træholt, C., Larsen, E., Østergaard, J., Blažič, and Deprez, W., 2013. EV charging facilities and their application in LV feeders with photovoltaics. IEEE Transactions on Smart Grid, 4(3), :1533–1540.

Vivekananthan, C., Mishra, Y., Ledwich, G. and Li, F., 2014. Demand response for residential appliances via customer reward scheme. IEEE transactions on smart grid, 5(2), :809–820.

Wang, F., Xu, H., Xu, T., Li, K., Shafie-Khah, M. and Catalão, J.P., 2017. The values of market-based demand response on improving power system reliability under extreme circumstances. Applied energy, 193, :220–231.

Borenstein, S., Jaske, M. and Rosenfeld, A., 2002. Dynamic pricing, advanced metering, and demand response in electricity markets.

Siano, P., Cecati, C., Yu, H. and Kolbusz, J., 2012. Real time operation of smart grids via FCN networks and optimal power flow. IEEE Transactions on Industrial Informatics, 8(4), :944–952.

Zakariazadeh, A., Jadid, S. and Siano, P., 2014. Economic- environmental energy and reserve scheduling of smart distribution systems: A multiobjective mathematical programming approach. Energy Conversion and Management, 78, :151–164.

Zakariazadeh, A., Jadid, S. and Siano, P., 2014. Multi-objective scheduling of electric vehicles in smart distribution system. Energy Conversion and Management, 79, :43–53.

Zakariazadeh, A., Homaee, O., Jadid, S. and Siano, P., 2014. A new approach for real time voltage control using demand response in an automated distribution system. Applied Energy, 117, :157–166.

Falvo, M.C., Graditi, G. and Siano, P., 2014, June. Electric vehicles integration in demand response programs. In 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (: 548–553). IEEE.

A. Di Giorgio, F. Liberati, and S. Canale. "IEC 61851 compliant electric vehicle charging control in Smartgrids". Proc. IEEE MED13, 21st Mediterranean Conference on Control and Automation, Chania, GR, June 2013.

Fernandez, L.P., San Román, T.G., Cossent, R., Domingo, C.M. and Frias, P., 2010. Assessment of the impact of plug-in electric vehicles on distribution networks. IEEE transactions on power systems, 26(1), :206–213.

Di Silvestre, M.L., Riva Sanseverino, E., Zizzo, G. and Graditi, G., 2013. An optimization approach for efficient management of EV parking lots with batteries recharging facilities. Journal of Ambient Intelligence and Humanized Computing, 4(6), :641–649.

Hu, J., You, S., Lind, M. and Østergaard, J., 2013. Coordinated charging of electric vehicles for congestion prevention in the distribution grid. IEEE Transactions on Smart Grid, 5(2), :703–711.

Yilmaz, M. and Krein, P., 2012, March. Review of charging power levels and infrastructure for plug-in electric and hybrid vehicles and commentary on unidirectional charging. In IEEE international electrical vehicle conference.

Falvo, M.C., Martirano, L., Sbordone, D. and Bocci, E., 2013, May. Technologies for smart grids: A brief review. In 2013 12th International Conference on Environment and Electrical Engineering (: 369–375). IEEE.

Di Giorgio, A., Liberati, F. and Canale, S., 2012, July. Optimal electric vehicles to grid power control for active demand services in distribution grids. In 2012 20th Mediterranean Conference on Control & Automation (MED) (: 1309–1315). IEEE.

Hajimiragha, A., Canizares, C.A., Fowler, M.W. and Elkamel, A., 2009. Optimal transition to plug-in hybrid electric vehicles in Ontario, Canada, considering the electricity-grid limitations. IEEE Transactions on Industrial Electronics, 57(2), :690–701.

Heydt, G.T., 1983. The impact of electric vehicle deployment on load management straregies. IEEE transactions on power apparatus and systems, (5), :1253–1259.

Bosovic, A., Music, M. and Sadovic, S., 2015, June. Analysis of the impacts of plug-in electric vehicle charging on the part of a real low voltage distribution network. In 2015 IEEE Eindhoven PowerTech (: 1–5). IEEE.

Heydt, G.T., 1983. The impact of electric vehicle deployment on load management straregies. IEEE transactions on power apparatus and systems, (5), :1253–1259.

Gong, Q., Midlam-Mohler, S., Serra, E., Marano, V. and Rizzoni, G., 2014. PEV charging control considering transformer life and experimental validation of a 25 kVA distribution transformer. IEEE Transactions on Smart Grid, 6(2), :648–656.

Clement-Nyns, K., Haesen, E. and Driesen, J., 2009. The impact of charging plug-in hybrid electric vehicles on a residential distribution grid. IEEE Transactions on power systems, 25(1), :371–380.

Sortomme, E., Hindi, M.M., MacPherson, S.J. and Venkata, S.S., 2010. Coordinated charging of plug-in hybrid electric vehicles tominimize distribution system losses. IEEE transactions on smart grid, 2(1), :198–205.

Murrant, D. and Radcliffe, J., 2018. Assessing energy storage technology options using a multi-criteria decision analysis-based framework. Applied Energy, 231, :788–802.

Ofgem, H.M.G., 2017. Upgrading Our Energy System: Smart Systems and Flexibility Plan.

BEIS, U., 2017. The clean growth strategy: leading the way to a low carbon future.

Ofgem, H.M.G., 2017. Upgrading Our Energy System: Smart Systems and Flexibility Plan.

BEIS, 2016. Smart meter roll-out cost benefit analysis.

Su, W., Eichi, H., Zeng, W. and Chow, M.Y., 2011. A survey on the electrification of transportation in a smart grid environment. IEEE Transactions on Industrial Informatics, 8(1), :1–10.

Mukherjee, J.C. and Gupta, A., 2014. A review of charge scheduling of electric vehicles in smart grid. IEEE Systems Journal, 9(4), :1541– 1553.

Floudas, C.A., 2013. Deterministic global optimization: theory, methods and applications (Vol. 37). Springer Science & Business Media.

Xu, Z., Hu, Z., Song, Y., Zhao, W. and Zhang, Y., 2014.Coordination of PEVs charging across multiple aggregators. Applied energy, 136, :582–589.

Jin, C., Tang, J. and Ghosh, P., 2013. Optimizing electric vehicle charging with energy storage in the electricity market. IEEE Transactions on Smart Grid, 4(1), :311–320.

Ansari, M., Al-Awami, A.T., Sortomme, E. and Abido, M.A., 2014. Coordinated bidding of ancillary services for vehicle-to-grid using fuzzy optimization. IEEE Transactions on Smart Grid, 6(1), :261– 270.

Kuran, M.Ş., Viana, A.C., Iannone, L., Kofman, D., Mermoud, G. and Vasseur, J.P., 2015. A smart parking lot management system for scheduling the recharging of electric vehicles. IEEE Transactions on Smart Grid, 6(6), :2942–2953.

He, Y., Venkatesh, B. and Guan, L., 2012. Optimal scheduling for charging and discharging of electric vehicles. IEEE transactions on smart grid, 3(3), :1095–1105.

Jian, L., Zhu, X., Shao, Z., Niu, S. and Chan, C.C., 2014. A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within regional smart grids. Energy conversion and management, 78, :508–517.

Han, S., Han, S. and Sezaki, K., 2010. Development of an optimal vehicle-to-grid aggregator for frequency regulation. IEEE Transactions on smart grid, 1(1), :65–72.

Škugor, B. and Deur, J., 2015. Dynamic programming-based optimisation of charging an electric vehicle fleet system represented by an aggregate battery model. Energy, 92, :456–465.

Shao, S., Pipattanasomporn, M. and Rahman, S., 2012. Grid integration of electric vehicles and demand response with customer choice. IEEE transactions on smart grid, 3(1), :543–550.

Pipattanasomporn, M., Kuzlu, M. and Rahman, S., 2012. An algorithm for intelligent home energy management and demand response analysis. IEEE Transactions on Smart Grid, 3(4), :2166– 2173.

W. Lausenhammer, D. Engel, and R. Green, "Utilizing capability of plug in electric vehicles with a new demand response optimization software framework: Okeanos," Int. J. Elec. Power, vol. 75, : 1–7, Feb. 2016.

Rassaei, F., Soh, W.S. and Chua, K.C., 2015. Demand response for residential electric vehicles with random usage patterns in smart grids. IEEE Transactions on Sustainable Energy, 6(4), :1367–1376.

Tan, Z., Yang, P. and Nehorai, A., 2014. An optimal and distributed demand response strategy with electric vehicles in the smart grid. IEEE Transactions on Smart Grid, 5(2), :861–869.


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