Optimal Scheduling of Micro Grid for Plug-In Electrical Vehicle

  • Authors

    • K Vijay Kumar
    • T Bharath Kumar
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10882
  • Charging and Discharging, Convex optimization, Plug-in Electric Vehicle (PEV), Vehicle-To-Grid (V2G).
  • Abstract

    Owing to several advantages of Plug-in Electric Vehicles (PEVs) like less noise, emission less, good efficiency and the reduced cost has attention to the governments, researchers and manufactures in recent time. The Plug-in Electric Vehicle (PEV) plays a vital role in    replacement of conventional vehicles in future, because of penetration of renewable energy resources in conventional generation. The modernized of micro grid is happening due to usage of clean energy for EV charging. The cost of electric vehicle charging is challenging issue in the development of plug-in electric vehicle. The coordination between renewable generation and conventional generation is very much needed in near future. The dynamic nature of renewable energy resources causes frequent interrupts in electric vehicle charging. The problem of nonlinear power generation with renewable resources is overcome by electric vehicle battery storage system which   enables the EV battery to charge during low demand period and gets discharged into the micro grid during high demand periods. This paper developed an optimal schedule for stationary Plug-in Electric Vehicle charging in operation with micro grid. The obtained optimal schedule provides balance between active and reactive power in generation and load as well. The integration of renewable energy resources is achieved through solar, wind in Vehicle-2-Grid (V2G) approach which is used to safeguard to renewable energy resources by store additional energy produced during peak load period and feeding back to the micro grid during low load period. As a result the stable operation of the micro grid and EV charging with low cost is achieved in this paper.

     

  • References

    1. [1] “The Next Generation of Hybrid cars: plug-in Hybrids can help reduce global warming and slash oil dependency,†N.R.D. council, Ed., ed, pp.4, July 2007.

      [2] Mehdi Etezadi-Amoli, K choma, and J. Stefani, “Rapid charge electric vehicle stations,†IEEE Transactions on power delivery, Vol. 25, pp. 1883-1887, 2010.

      [3] International Energy Agency (IEA) and the Electric Vehicles Initiative of the clean energy ministerial (EVI), “global ev outlook: Understanding the Electric Vehicle landscape to 2020,†April 2013.

      [4] C. H. Stephan and J. Sullivan, “Environmental and energy implications of plug-in electric vehicles,†Environmental science and technology, Vol.42, pp.1185-1190, 2008.

      [5] K. Young, C. Wang and K. Strunz, “Electric vehicle battery technologies,†in electric vehicle integration into modern power networks, ed: Springer, 2013, pp. 15-56.

      [6] A. Maitra, J. Taylor, D. Brooks, M. Alexander and M. Duvall, “Integrating plug-in electric vehicles with the distribution system,†in 20th International Conference and Exhibition on Electricity Distribution, CIRED 2009, June 8, 2009- June 11, 2009, prague, Czech republic, 2009.

      [7] C. Liu, K. T. Chau, D. Wu, and S. Gao, “Opportunities and challenges of vehicle-to-home, vehicle-to-vehicle and vehicle-to-grid technologies,†Proc. of IEEE, Vol. 101, No. 11, pp. 2409–2427, November 2013.

      [8] B. Lunza, Z. Yana, J.B. Gerschlerb and D. Sauera, “Review of the impact of vehicle-to-grid technologies on distribution systems and utility interfaces,†Energy Policy Journal, Vol. 46, pp. 511-519, July 2012.

      [9] Yifeng He, Bala Venkatesh, and Ling Guan, “Optimal scheduling for charging and discharging of electric vehiclesâ€, IEEE Transactions on Smart Grid, Vol. 3, No. 3, pp. 1095–1105, Sep. 2012.

      [10] J. H. Chow, F. F. Wu, and J. A. Momoh, “Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligenceâ€, 1st ed. New York: Springer, Nov. 2004.

      [11] S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge Univ. Press, 2004.

      [12] M. Grant and S. Boyd, “Graph implementations for nonsmooth convex programs,†in Recent Advances in Learning and Control. NewYork: Springer, pp. 95–110, 2008.

      [13] Tohid Shekari, Sajjad Golshannavaz, Farrokh Aminifar, “Techno-economic collaboration of PEV fleets in energy management of microgridsâ€, IEEE Transactions on power system, Vol. 32,No. 5, pp. 3833-3841, Sep 2017.

      [14] Norberto Fueyo, YosuneSanz, Marcos Rodrigues, Carlos Montanes, Cesar Dopazo, “The use of cost-generation curves for the analysis of wind electricity costs in Spainâ€, ELSEVIER, Applied Energy.

      [15] P. S.Moses, S. Deilami, A. S.Masoum, andM. A. S. Masoum, “Power quality of smart grids with plug-in electric vehicles considering battery charging profile,†in Proc. 2010 IEEE PES Innov. Smart Grid Technol. Conf. Eur., pp. 1–7, Oct. 2010.

      [16] W. Shi, X. Xie, C.-C. Chu, and R. Gadh, “Distributed optimal energy management in microgrids,†IEEE Transactions on Smart Grid, Vol. 6, No. 3, pp. 1137–1146, May 2015.

      [17] X. Luo, S. W. Xia, and K. W. Chan, “A simple decentralized charging control scheme of plug-in electric vehicles for alleviating wind farm intermittency,†Energy Procedia, Vol. 61, pp. 1789–1792, Dec. 2014.

      [18] L. Deng, B. F. Hobbs and P. Renson, “What is the cost of negative bidding by wind? A unit commitment analysis of cost and emissions,†IEEE Trans. Power Syst., Vol. 30, No. 4, pp. 1805–1814, Jul. 2015.

      [19] P. Vithayasrichareon and I. F. MacGill, “Impacts of generation-cycling costs on future electricity generation portfolio investment,†in Proc. EEE PES General Meeting, National Harbor, MD, USA, 2014, pp. 1–5.

      [20] C. Guille and G. Gross, “A conceptual framework for the vehicle- to- grid (V2G) implementation,†Energy Policy, Vol. 37, No. 11, pp. 4379–4390, Nov. 2009.

      [21] T. Bharath Kumar, O. Chandra Sekhar, M. Ramamoorty, S.V. N.L. Lalitha, "Evaluation of power capacity availability at load bus in a composite power system", IEEE J. Emerg. Sel. Top. Power Electron. 4 (4) (2016) 1324–1331.

      [22] T. Bharath Kumar, O. Chandra Sekhar, M. Ramamoorty, "Composite power system reliability evaluation using modified minimal cut set approach", Alexandria Engineering Journal - Elsevier, 2017 (Accepted- Early access). https://doi.org/10.1016/j.aej.2017.09.008

      [23] J. García-Villalobos, I. Zamora, J. I. San Martín, F. J. Asensio, and V. Aperribay, “Plug-in electric vehicles in electric distribution networks: A review of smart charging approaches,†Renewable and Sustainable Energy Reviews, Vol. 38, pp. 717-731, Oct. 2014.

      [24] F. R. Islam and H. R. Pota, “Integrating smart PHEVs in future smart grid,†in Renewable Energy Integration, pp. 239-258, Springer Singapore, 2014.

      [25] P. Sadeghi-Barzani, A. Rajabi-Ghananieh, and H. Kazemi-Karegar, “Optimal fast charging station placing and sizing,†Appl. Energy, Vol. 125, pp. 289–299, Jul. 2014.

      [26] Y. Zheng, Z. Y. Dong, Y. Xu, K. Meng, J. H. Zhao, and J. Qiu, “Electric vehicle battery charging swap stations in distribution systems: comparison study and optimal planning,†IEEE Trans. Power Syst., Vol. 29, No. 1, pp. 221–229, Jan. 2014.

      [27] M.F. Shaaban, M. Ismail, E.F. El-Saadany, W. Zhuang, “Real time PEV charging/discharging coordination in smart distribution systemsâ€, IEEE Transactions on Smart Grid, Vol.5, No.4, pp.1797-1807, July 2014

      [28] The Clean-tech Market Authority. (May 2013, July 2013).Plug-In Vehicle Sales Hit 100,000 in Past Two Years available. http://www.cleanedge.com/Resources/news/Plug-In- Vehicle-Sales-Hit-100%2C000-in-Past-Two-Years.

      [29] http://www.livemint.com/Opinion/77tJwKaGstCLLjP9etjTFJ/Global-electric-vehicle-revolution-by 2020.html.

      [30] Website for Toronto Hydro-Electric System [Online]. Available: http://www.torontohydro.com/

      [31] Chevy Volt Website [Online]. Available: http://www.chevyvolt. Net/chevrolet-volt-specs.html.

      [32] M. Grant and S. Boyd, CVX: Matlab Software for Disciplined Convex Programming [Online]. Available: http://cvxr.com/cvx Dec. 2010, version 1.21.

      [33] Ramkiran, D.S., Madhav, B.T.P., Prasanth, A.M., Harsha, N.S., Vardhan, V., Avinash, K., Chaitanya, M.N. And Nagasai, U.S., 2015. Novel Compact Asymmetrical Fractal Aperture Notch Band Antenna. Leonardo Electronic Journal Of Practices And Technologies, 14(27), Pp. 1-12.

      [34] Jawahar, A. And Koteswara Rao, S., 2015. Recursive Multistage Estimator For Bearings Only Passive Target Tracking In Esm Ew Systems. Indian Journal Of Science And Technology, 8(26),.

      [35] Kishore, P.V.V., Sastry, A.S.C.S. And Kartheek, A., 2014. Visual-Verbal Machine Interpreter For Sign Language Recognition Under Versatile Video Backgrounds, 1st International Conference On Networks And Soft Computing, Icnsc 2014 - Proceedings 2014, Pp. 135-140.

      [36] Sarma, G.S., Asadi, S.S. And Narayana, S.L., 2016. Creation Of Web Based Decision Support Information System For Evaluation Of Topographic Characteristics Using Remote Sensing & Gis And Visual Basic Programe. International Journal Of Civil Engineering And Technology, 7(6), Pp. 621-634.

      [37] Aditya Varma, K.V., Manideep, T. And Asadi, S.S., 2016. A Critical Comparison Of Quantity Estimation For Gated Community Construction Project Using Traditional Method Vs Plan Swift Software: A Case Study. International Journal Of Civil Engineering And Technology, 7(6), Pp. 707-713.

      [38] Karthik, G.V.S., Fathima, S.Y., Rahman, M.Z.U., Ahamed, S.R. And Lay-Ekuakille, A., 2013. Efficient Signal Conditioning Techniques For Brain Activity In Remote Health Monitoring Network. Ieee Sensors Journal, 13(9), Pp. 3273-3283.

  • Downloads

  • How to Cite

    Vijay Kumar, K., & Bharath Kumar, T. (2018). Optimal Scheduling of Micro Grid for Plug-In Electrical Vehicle. International Journal of Engineering & Technology, 7(2.7), 558-564. https://doi.org/10.14419/ijet.v7i2.7.10882

    Received date: 2018-04-01

    Accepted date: 2018-04-01

    Published date: 2018-03-18