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Hybrid Storage System Energy Management Based on a Predictive Current Controller


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DOI: https://doi.org/10.15866/irecon.v6i4.15790

Abstract


In this paper a predictive current controller for Hybrid Energy Storage System (HESS) is presented in DC microgrid applications, the HESS system include Oxide Solid Fuel Cell (OSFC) power plant, battery and SuperCapacitor (SC). The classical PI controller can cause occurrence of steady-state errors, slower dynamic response and it is happened when a load step change occur. This paper deals with one possible solution based on incremental modification of the predictive control algorithm. This combinations can ensure not only the consequent change of the control actions and removes the loss effect from the control weighting in the optimization criterion, but also provide an effective and efficient energy storage, increase the lifetimes for the HESS and maintains the stat of charge in operating region.
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Keywords


OSFC; DC-DC Converter; HESS; PI Controller; Predictive Controller (PC)

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References


Alireza, K.; Li, Z. H. Battery, ultracapacitor, fuel cell, and hybrid energy storage systems for electric, hybrid electric, fuel cell, and plug-in hybrid electric vehicles: State of the art. IEEE Trans. Veh. Technol. 2010, 59, 2806–2814.
http://dx.doi.org/10.1109/tvt.2010.2047877

K. Sedghisigarchi, Ali Feliachi, Dynamic and Transient Analysis of power distribution systems with fuel cell- Part I Fuel-cell Dynamic Model, IEEE Transactions on Energy Conversion, Vol, 19, No.2, June 2004.
http://dx.doi.org/10.1109/tec.2004.827039

P. J Hall and E. J Bain. Energy-storage technologies and electricity generation. Energy Policy, 36(12):4352-4355, December 2008.
http://dx.doi.org/10.1016/j.enpol.2008.09.037

H. Elwarfalli, A. Muntaser, J. Kumar and G. Subramanyam, Design and implementation of PI controller for the hybrid energy system, IEEE Conference Proceedings, pp. 170-172, 2016.
http://dx.doi.org/10.1109/naecon.2016.7856793

Junyi Shen, Alireza Khaligh, Design and Real-Time Controller Implementation for a Battery-Ultracapacitor Hybrid Energy Storage System, IEEE Transactions on Industrial Informatics, vol. 12, no. 5, pp. 1910-1918, Oct. 2016.
http://dx.doi.org/10.1109/tii.2016.2575798

M. Michalczuk, B. Ufnalski, G. Lech, Fuzzy logic control of a hybrid battery ultracapacitor energy storage for an urban electric vehicle, In Proceedings of 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER), Monte Carlo, France, 27–30 March 2013; pp. 1–7.
http://dx.doi.org/10.1109/ever.2013.6521580

G. Boukettaya, L. Krichen, A. Ouali, Fuzzy logic supervisor for power control of an isolated hybrid energy production unit", International Journal of Electrical and Power Engineering, vol. 1, no. 3, pp. 279-285, 2007.

J. Shen, A. Khaligh, "A supervisory energy management control strategy in a battery/ultracapacitor hybrid energy storage system", IEEE Transactions on Transportation Electrification, vol. 1, no. 3, pp. 223-231, 2015.
http://dx.doi.org/10.1109/tte.2015.2464690

S. Vazquez, J. Rodriguez, M. Rivera, L. G. Franquelo, and M. Norambuena, Model predictive control for power converters and drives: Advances and trends, IEEE Trans. Ind. Electron., vol. 64, no. 2, pp. 935–947, Feb. 2017.
http://dx.doi.org/10.1109/tie.2016.2625238

M. P. Akter, S. Mekhilef, N. M. L. Tan, and H. Akagi, Modified model predictive control of a bidirectional ac-dc converter based on Lyapunov function for energy storage systems, IEEE Trans. Ind. Electron., vol. 63, no. 2, pp. 704–715, Feb. 2016.
http://dx.doi.org/10.1109/tie.2015.2478752

P. Karamanakos, K. Pavlou, S. Manias, An Enumeration-Based Model Predictive Control Strategy for the Cascaded H-Bridge Multilevel Rectifier, IEEE Transactions on Industrial Electronics, vol. 61, no. 7, July 2014.
http://dx.doi.org/10.1109/tie.2013.2278965

B. Hredzak, V. G. Agelidis, and M. Jang, A model predictive control system for a hybrid battery-ultracapacitor power source, IEEE Trans. Power Electron., vol. 29, no. 3, pp. 1469–1479, Mar, 2014.
http://dx.doi.org/10.1109/tpel.2013.2262003

J Padulles et al., An integrated SOFC plant dynamic model for power systems simulation, J. Power Sources, vol. 86, pp. 495–500, 2000.
http://dx.doi.org/10.1016/s0378-7753(99)00430-9

MY. El-Sharkh, A. Rahman, and MS. Alam, Analysis of Active and Reactive Power Control of Stand-Alone PEM Fuel Cell Power Plant, IEEE Transactions on Power System 2004; 19(4):1020-103.
http://dx.doi.org/10.1109/tpwrs.2004.836191

W. Greenwell and A. Vahidi, Predictive control of voltage and current in a fuel cell-ultracapacitor hybrid, IEEE Trans. Ind. Electron., vol. 57, no. 6, pp. 1954–1963, Jun. 2010.
http://dx.doi.org/10.1109/tie.2009.2031663

Tephiruk, N., Hongesombut, K., Enhancement of Stabilizing Performance of a Microgrid Using Energy Storage System with Under Frequency Relay, (2016) International Review of Electrical Engineering (IREE), 11 (6), pp. 635-643.
http://dx.doi.org/10.15866/iree.v11i6.10342

Elmahni, L., Bouhouch, L., Alaoui, R., Moudden, A., Modeling and Control of a Hybrid Microgrid by Multi-Agent System, (2015) International Review of Electrical Engineering (IREE), 10 (1), pp. 145-153.
http://dx.doi.org/10.15866/iree.v10i1.5176

Abdelhedi, R., Lahyani, A., Ammari, A., Sari, A., Venet, P., Frequency Power Sharing for Battery/Supercapacitors Hybrid Energy Storage System in Electric Vehicles, (2017) International Review on Modelling and Simulations (IREMOS), 10 (6), pp. 399-409.
http://dx.doi.org/10.15866/iremos.v10i6.12364

Sabiri, Z., Machkour, N., El Majdoub, K., Kheddioui, E., Ouoba, D., Ailane, A., An Adaptative Control Management Strategy Applied to a Hybrid Renewable Energy System, (2017) International Review on Modelling and Simulations (IREMOS), 10 (4), pp. 258-267.
http://dx.doi.org/10.15866/iremos.v10i4.12044

R. Arahal, M., Barrero, F., Durán, M., Martín, C., Harmonic Distribution in Finite State Model Predictive Control, (2015) International Review of Electrical Engineering (IREE), 10 (2), pp. 172-179.

http://dx.doi.org/10.15866/iree.v10i2.5609


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