Abstract
As an important part of renewable energy utilization and smart distribution, the increasing penetration of electric vehicles for the rapid growth in load demand and especially electric vehicle can be a smart solution for the islanded nanogrid or in an emergency outage case. The electric vehicle is not a new concept and has been conceptually and practically available for the last century and will change the financial as well as environmental attractiveness of on-site generation (e.g. PV, or fuel cells). In islanded mode, based on the power balance between renewable electric sources and loads, the energy management and dispatch of EVs and PV are optimized to minimize the operational cost and maximize the benefit of islanded microgrid. This paper present an efficient power management based on mobile power stored in electrical vehicle and power produced by solar panel in a residential distribution and focuses on the analysis of the optimal interaction of electric vehicles with householders network, which may include photovoltaic (PV) for an efficiency energy management system. The effectiveness of the proposed strategies for the optimized operation of EVs is validated by case studies and performances analysis.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Farhangi, H.: The path of the smart grid. IEEE Power Energ. Mag. 8(1), 18–28 (2010)
Haque, M.E., Negnevitsky, M., Muttaqi, K.M.: A novel control strategy for a variable-speed wind turbine with a permanent-magnet synchronous generator. IEEE Trans. Ind. Appl. 46(1), 331–339 (2010)
Horowitz, S., Phadke, A., Renz, B.: The future of power transmission. IEEE Power Energy 8(2), 34–40 (2010)
Kock, B.: Why EVs are so important to the future of the smart grid. Smart Grid News (2013)
Kiviluoma, J., Meibom, P.: Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a system with either smart or dumb electric vehicles. Energy 36(3), 1758–1767 (2011)
Rotering, N., Ilic, M.: Optimal charge control of plug-in hybrid electric vehicles in deregulated electricity markets. IEEE Trans. Power Syst. 26(3), 1021–1029 (2011)
Wu, D., Aliprantis, D.C., Ying, L.: Load scheduling and dispatch for aggregators of plug-in electric vehicles. IEEE Trans. Smart Grid 3(1), 368–376 (2012)
Cao, Y., Tang, S., Li, C., Zhang, P., Tan, Y., Zhang, Z., Li, J.: An optimized EV charging model considering TOU price and SOC curve. IEEE Trans. Smart Grid 3(1), 388–393 (2012)
Suand, W., Chow, M.: Performance evaluation of an EDA-based largescale plug-in hybrid electric vehicle charging algorithm. IEEE Trans. Smart Grid 3(1), 308–315 (2012)
Hamdaoui, Y., Maach, A.: A smart approach for intentional islanding based on dynamic selection algorithm in microgrid with distributed generation. In: International Conference on Big Data Cloud and Applications (BDCA) (2017). https://doi.org/10.1145/3090354.3090410
Hamdaoui, Y., Maach, A.: Energy efficiency approach for smart building in islanding mode based on distributed energy resources. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds.) AIT2S 2017. LNNS, vol. 25, pp. 36–49. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-69137-4_4
Hamdaoui, Y., Maach, A., El Hadri, A.: Autonomous power distribution system through smart dynamic selection model using islanded micro grid context parameters and based on renewable resources. Int. J. Mech. Eng. Technol. (IJMET) 9(11), 1755–1780 (2018)
Ding, L., Gonzalez-Longatt, F.M.: Two-step spectral clustering controlled islanding algorithm. IEEE Trans. Power Syst. 28, 75–84 (2013)
Zhuan, Y., Liu, T., Jiang, D.: A new searching method for intentional islanding of distribution network. In: Proceedings of the Asia-Pacific Power and Energy Engineering Conference (APPEEC), Shanghai, China, 1–4 March 2012
Hamdaoui, Y., Maach, A.: Smart islanding in smart grids. In: 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 175–180 (2016). https://doi.org/10.1109/SEGE.2016.7589521
Sortomme, E., El-Sharkawi, M.A.: Optimal scheduling of vehicle-to-grid energy and ancillary services. IEEE Trans. Smart Grid 3(1), 351–359 (2012)
Bessa, R.J., Matos, M.A., Soares, F.J., Lopes, J.A.P.: Optimized bidding of a EV aggregation agent in the electricity market. IEEE Trans. Smart Grid 3(1), 443–452 (2012)
Su, W., Rahimi-Eichi, H., Zeng, W., Chow, M.: A survey on the electrification of transportation in a smart grid environment. IEEE Trans. Ind. Inf. 8(1), 1–10 (2012)
Ma, Y., Houghton, T., Cruden, A., Infield, D.: Modeling the benefits of vehicle-to-grid technology to a power system. IEEE Trans. Power Syst. 27(2), 1012–1020 (2012)
Teoh, W.Y., Tan, C.W.: An overview of islanding detection methods in photovoltaic systems. In: 58 International Conference of World Axademy of Science, Engineering and Technology, WASET 2011, Bali (INDONESIA), 26–28 October 2011, pp. 674–682 (2011)
Hamdaoui, Y., Maach, A.: An intelligent islanding selection algorithm for optimizing the distribution network based on emergency classification. In: 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), pp. 1–7 (2017). https://doi.org/10.1109/WITS.2017.7934627
Ranjbar, A.H., Banaei, A., Khoobroo, A., Fahimi, B.: Online estimation of state of charge in Li-Ion batteries using impulse response concept. IEEE Trans. Smart Grid 3(1), 360–367 (2012)
Sanchez-Martin, P., Sanchez, G., Morales-Espana, G.: Direct load control decision model for aggregated EV charging points. IEEE Trans. Power Syst. 27(3), 1577–1584 (2012)
Stadler, M., Marnay, C., Sharma, R., Mendes, G., Kloess, M., Cardoso, G., Mégel, O., Siddiqui, A.: Modeling electric vehicle benefits connected to smart grids
Chen, S.X., Gooi, H.B., Wang, M.Q.: Sizing of energy storage for microgrids. IEEE Trans. Smart Grid 3(1), 142–151 (2012)
Sandels, C., Franke, U., Ingvar, N., Nordstrom, L., Hamren, R.: Vehicle to grid-Monte Carlo simulations for optimal aggregator strategies. Presented at the Power System Technology Conference, Hangzhou, China (2010)
Hamdaoui, Y., Maach, A.: Dynamic balancing of powers in islanded microgrid using distributed energy resources and prosumers for efficient energy management. In: 2017 IEEE Smart Energy Grid Engineering (SEGE), IEEE (2017). https://doi.org/10.1109/SEGE.2017.8052792
Hamdaoui, Y., Maach, A.: A novel smart distribution system for an islanded region. In: Ezziyyani, M., Bahaj, M., Khoukhi, F. (eds.) AIT2S 2017. LNNS, vol. 25, pp. 269–279. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-69137-4_24
Hamdaoui, Y., Maach, A.: A cyber-physical power distribution management system for smart buildings. In: Ben Ahmed, M., Boudhir, A.A. (eds.) SCAMS 2017. LNNS, vol. 37, pp. 538–550. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74500-8_50
Hamdaoui, Y., Maach, A.: Prosumers integration and the hybrid communication in smart grid context. In: Networked Systems. LNCS, vol. 9466. Springer, Cham (2015)
Hamdaoui, Y., Maach, A.: Ontology-based context agent for building energy management systems. In: Ezziyyani, M. (ed.) AI2SD 2018, vol. 912, pp. 131–140. Springer, Cham (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Hamdaoui, Y., Maach, A. (2019). Optimized Energy Management of Electric Vehicles Connected to Microgrid. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2018). AI2SD 2018. Advances in Intelligent Systems and Computing, vol 912. Springer, Cham. https://doi.org/10.1007/978-3-030-12065-8_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-12065-8_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12064-1
Online ISBN: 978-3-030-12065-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)