Optimal Intelligent Control of Plug-in Fuel Cell Electric Vehicles in Smart Electric Grids

Document Type : Research Paper

Authors

1 University of Shahrood

2 Department of Electrical Engineering Department, K.N.Toosi University of Technology, Tehran, Iran

Abstract

In this paper, Plug-in Fuel Cell Electric Vehicle (PFCEV) is considered with dual power sources including Fuel Cell (FC) and battery Energy Storage. In order to respond to a transient power demand, usually supercapacitor energy storage device is combined with fuel cell to create a hybrid system with high energy density of fuel cell and the high power density of battery. In order to simulate the PEV model, dynamic state space models of bidirectional DCDCconverter and grid connected voltage source converter are considered to connect the PFCEVto the main grid. In order to stabilize the DC-link power and distribute the power between dualenergy storage sources in PEV during normal and disturbance conditions on the grid voltage, afuzzy control strategy has been developed. For tuning the parameters of fuzzy logic controller, the PSO (particle swarm optimization) algorithm has been used. This controller determines the super capacitor and fuel cell powers that should be generated according to the amount of available energy in DC-link. Moreover, a robust sliding mode control strategy for three phase power electronic converter based on positive and negative symmetrical components is presented to investigate the voltage disturbance ride-through capability.

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Main Subjects

References

[1]      S. Han, K. Sezaki, “Development of an optimal vehicle-to grid aggregator for frequency regulation,” IEEE Trans. Smart Grid, vol. 1, no. 1, pp. 65–72, Jun. 2010.
[2]     C. Guille, G.Gross, “A conceptual framework for the vehicle-to-grid (V2G) implementation,” Energy Policy, vol. 37, no. 11, pp. 4379–4390, 2009.
[3]     S. Han, K. Sezaki, “ Design of an Optimal Aggregator for Vehicle to Grid Regulation Service” 978-4244-6266-7/10, 2010 IEEE
[4]     Z. Amjadi, S.S. Williamson, “Power-Electronics-Based Solutions for Plug-in Hybrid Electric Vehicle Energy Storage and Management Systems”, IEEE Transactions On Industrial Electronics, Vol. 57, No. 2, February 2010.
[5]     K.C.Nyns, E. Haesen, J. Driesen, “The impact of charging plug-in hybrid electric vehicles on a residential distribution grid,” IEEE Trans. Power Syst., vol. 25, no. 1, pp. 371–380, Feb. 2010.
[6]     M.C.Kisacikoglu, B. Ozpineci, L.M. Tolbert, "Examination of a PHEV bidirectional charger system for V2G reactive power compensation," in Proc. of Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC), 2010, 21-25 Feb.2010, pp.458-465.
[7]     Y.J.Lee, A. Khaligh, A. Emadi, “Advanced Integrated Bidirectional AC/DC and DC/DC Converter for Plug-In Hybrid Electric Vehicles,” IEEE Trans. on Vehicular Tech.vol. 58, no. 8, pp. 3970-3980, Oct, 2009.
[8]     J.Barton, D.Infield, “Energy storage and its use with intermittent renewable energy,” IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 441–448, Jun. 2004.
[9]     A. Hajizadeh, M.A.Golkar, A. Feliachi, “Voltage Control and Active Power Management of Hybrid Fuel-Cell/Energy-Storage Power Conversion System Under Unbalanced Voltage Sag Conditions”, IEEE Transactions On Energy Conversion, Vol. 25, No. 4, pp.1195-1208, December 2010.
[10]  M.H.Bollen, “Understanding power quality problems: voltage sags and interruptions”, New York, IEEE Press,1999.
[11]  A. Hajizadeh, M.A.Golkar, “Intelligent Power Management Strategy of hybrid Distributed Generation System”, International Journal of Electrical Power and Energy Systems 29 (2007) 783–795.
[12]  A. Hajizadeh, M.A.Golkar, “Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system”, IET Renew. Power Gener., 2009, vol. 3, pp. 402–414.
[13]  J. Kennedy, R.C. Eberhart, Particle swarm optimization, in: Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948, 1995.
[14]  S. Doctor, V. K. Venayagamoorthy, “Navigation of mobile sensors using PSO and embedded PSO in a fuzzy logic controller”, IEEE Industry Applications Conference, vol. 2, pp. 1200-1206, Oct. 2004.
Hydrogen, Fuel Cell & Energy Storage
Volume 1, Issue 1 - Serial Number 1
January 2014
Pages 55-64

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