Dynamic Behavior and Management Strategy of Hybrid Wind/Fuel Cell System
DOI:
https://doi.org/10.6000/1929-6002.2013.02.01.3Keywords:
Dynamic, Management, Wind power, Fuel cell, Ultra-capacitor, Hybrid power generation, ANFISAbstract
hybrid generation system is considered as a solution for the uncontrolled energy production from such dispersed sources as wind generation. In this paper, modeling and control of wind/FC system is proposed. Dynamics models for the main system components, namely, wind energy conversion system (WECS), fuel cell, electrolyses, power electronic interfacing circuits, hydrogen storage tank and ultra-capacitor are developed. Also, a variable speed wind generation maximum power point tracking (MPPT) based on Adaptative Neuro-Fuzzy Inference system (ANFIS) is presented. Based on the dynamic component model, a simulation model for the proposed hybrid energy system has been developed using Matlab/Simulink and the power flows management strategy are proposed. The result shows that this system can tolerate the rapid changes in wind speed and/or power demand. This results shows also that, the overall power management strategy is effective and the power flows among the different energy sources and the load demand is balanced successfully.
References
Khan MJ, Iqbal MT. Dynamic modeling and simulation of a small wind fuel cell hybrid energy system. J Renewable Energy 2005; 30(3): 421-39. http://dx.doi.org/10.1016/j.renene.2004.05.013 DOI: https://doi.org/10.1016/j.renene.2004.05.013
De Battista H, Mantz RJ, Garelli F. Power conditioning for a wind hydrogen energy system. J Power Sources 2006; 155(2): 478-86. http://dx.doi.org/10.1016/j.jpowsour.2005.05.005 DOI: https://doi.org/10.1016/j.jpowsour.2005.05.005
Karaki HS, Chedid RB, Ramadhan R. Probabilistic performance assessment of autonomous solar-wind energy conversion system. IEEE Trans Energy Conver 1999; 14(3): 766-72. http://dx.doi.org/10.1109/60.790949 DOI: https://doi.org/10.1109/60.790949
Deshmukh MK, Deshmukh SS. Modeling of hybrid renewable energy systems. J Renewable Sustainable Energy Rev 2008; 12: 235-49. http://dx.doi.org/10.1016/j.rser.2006.07.011 DOI: https://doi.org/10.1016/j.rser.2006.07.011
Eminoglu U. Modelling and Application of Wind Turbine Generating Systems (WTGS) to. Distribution Systems. In J Renewable Energy 2009; 34: 2474-83. http://dx.doi.org/10.1016/j.renene.2009.03.026 DOI: https://doi.org/10.1016/j.renene.2009.03.026
Meharrar A, Tioursi M, Hatti M, Stambouli AB. A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system. J Expert Systems Appl 2011; 38: 7659-64. http://dx.doi.org/10.1016/j.eswa.2010.12.163 DOI: https://doi.org/10.1016/j.eswa.2010.12.163
El-Sharkh MY, Rahman A, Alam MS. Neural Networks Based Control of Active and Reactive Power of a Stand- alone PEM Fuel Cell Power Plant. Int J Power Sources 2004; (135): 88-94. http://dx.doi.org/10.1016/j.jpowsour.2004.03.071 DOI: https://doi.org/10.1016/j.jpowsour.2004.03.071
High Efficiency fossil power plants (HEFPP) conceptualization Program, Final Report, DE-97FT 34164, Fuel Cell Energy Inc. CT March 1999.
Meharrar A. Modélisation, Optimisation et Contrôle des Systèmes Hybrides: Eolienne/Pile à combustible. Ph.D. dissertation. Faculty of Electrical Engineering, University of Sciences and Technology of Oran, Algeria 2012.
Sakhare A, Davari A, Feliachi A. Fuzzy logic control of fuel cell for stand-alone and grid connection. J Power Sources 2004; 135: 165-76. http://dx.doi.org/10.1016/j.jpowsour.2004.04.013 DOI: https://doi.org/10.1016/j.jpowsour.2004.04.013
Hatti M, Meharrar A, Tioursi M. Power management strategy in the alternative energy photovoltaic/PEM Fuel Cell hybrid system. Renewable Sustainable Energy Rev 2011; 15: 5104- 10. http://dx.doi.org/10.1016/j.rser.2011.07.046 DOI: https://doi.org/10.1016/j.rser.2011.07.046
Hofmann Ph, Panopoulos KD. Detailed dynamic Solid Oxide Fuel Cell modeling for electrochemical impedance spectra simulation. J Power Sources 2010; 195: 5320-39. http://dx.doi.org/10.1016/j.jpowsour.2010.02.046 DOI: https://doi.org/10.1016/j.jpowsour.2010.02.046
Sedghisigarchi K, Feliachi A. Dynamic and Transient Analysis of Power Distribution Systems with Fuel Cells Fuel. IEEE Trans Energy Conversion 2004; 19(Pt 1): 423-28. DOI: https://doi.org/10.1109/TEC.2004.827039
Padulles J, Ault GW. McDonald JR. An integrated SOFC plant dynamic model for power systems simulation. J Power Sources 2000; 86: 495-500. http://dx.doi.org/10.1016/S0378-7753(99)00430-9 DOI: https://doi.org/10.1016/S0378-7753(99)00430-9
Xiao W, Xin-Jian Z, Guang-Yi C, Heng-Yong Tu. Predictive control of SOFC based on a GA-RBF neural network model. J Power Sources 2008; 179: 232-39. http://dx.doi.org/10.1016/j.jpowsour.2007.12.036 DOI: https://doi.org/10.1016/j.jpowsour.2007.12.036
Uzunoglua M, Alama MS. Load sharing using fuzzy logic control in a fuel cell/ultracapacitor hybrid vehicle M.C. Kisacikoglua. Int J Hydrogen Energy 2009; 4: 1497-507.
Hauer K-H. Analysis tool for fuel cell vehicle hardware and software (controls) with an application to fuel economy comparisons of alternative system designs. Ph.D. dissertation, Dept. Transportation Technology and Policy, Univ. California, Davis 2001.
El-Sharkh MY, Rahman A, Alam MS, Byrne PC, Sakla AA, Thomas T. A dynamic model for a stand-alone PEM fuel cell power plant for residential applications. J Power Sources 2004; 138(1-2): 199-204. http://dx.doi.org/10.1016/j.jpowsour.2004.06.037 DOI: https://doi.org/10.1016/j.jpowsour.2004.06.037
Kirubakaran A, Jain S, Nema RK. The PEM Fuel Cell System with DC/DC Boost Converter: Design, Modeling and Simulation. Int J Recent Trends Eng 2009; 1(3).
Mohan N, Undeland TM, Robbins WP. Power Electronics Converters, Applications and Design. J Wiley & Sons 2001.
Wang YM, Taha MS, Elhag. An adaptive neuro- fuzzy inference system for bridge risk assessment. Int J Expert Systems Appl 2008; 34(3): 3099-106. http://dx.doi.org/10.1016/j.eswa.2007.06.026 DOI: https://doi.org/10.1016/j.eswa.2007.06.026
Candusso D, Rulličre EE, Toutain E. A Fuel Cell Hybrid Power Source for a Small Electric Vehicle. Energy Renewable: Power Eng 2001; 85-92.
Kisacikoglu MC, Uzunoglu MC, Alam M. Load sharing usingfuzzy logic control in a fuel cell/ultracapacitor hybrid vehicle. Int J Hydrogen Energy 2009; 34: 497-507. http://dx.doi.org/10.1016/j.ijhydene.2008.11.035 DOI: https://doi.org/10.1016/j.ijhydene.2008.11.035
Zhang X, Mi C, Masrur A, Daniszewski D. Wavelet based power management of hybrid electric vehicles with multiple onboard power sources. J Power Sources 2008; 185: 1533-43. http://dx.doi.org/10.1016/j.jpowsour.2008.08.046 DOI: https://doi.org/10.1016/j.jpowsour.2008.08.046
Spyker RL, Nelms RM. Analysis of double-layer capacitors supplying constant power loads. IEEE Trans Aerosp Electron Syst 2000; 36(4): 1439-43. http://dx.doi.org/10.1109/7.892696 DOI: https://doi.org/10.1109/7.892696
Spyker RL, Nelms RM. Classical equivalent circuit Parameters for a Double-Layer Capacitor. IEEE Trans Aerospace Electr Syst 2000; 36(3): 829-36. DOI: https://doi.org/10.1109/7.869502
Kotsopoulos A, Duarte JL, Hendrix M. A converter to interface ultra-capacitor energy storage to a fuel cell system. Proceedings 2004 IEEE Int Symposium Indust Electron 2004; 2: 827-32. http://dx.doi.org/10.1109/ISIE.2004.1571920 DOI: https://doi.org/10.1109/ISIE.2004.1571920
Wenzhong G. IEEE Trans Veh Technol 2000; 54(3): 846-55.
Haluk G. Dynamic Modeling of a Proton Exchange Membrane (PEM) Electrolyser. Int J Hydrogen Energy 2006; 31: 29-38. http://dx.doi.org/10.1016/j.ijhydene.2005.04.001 DOI: https://doi.org/10.1016/j.ijhydene.2005.04.001
Onar OC, Uzunoglu M, Alam MS. Dynamic modeling, design and simulation of a wind/fuel cell / ultracapacitor based hybrid power generation system. J Power Sources 2006; 161(1): 707-22. http://dx.doi.org/10.1016/j.jpowsour.2006.03.055 DOI: https://doi.org/10.1016/j.jpowsour.2006.03.055
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2013 Journal of Technology Innovations in Renewable Energy
This work is licensed under a Creative Commons Attribution 4.0 International License.
Policy for Journals/Articles with Open Access
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
Policy for Journals / Manuscript with Paid Access
Authors who publish with this journal agree to the following terms:
- Publisher retain copyright .
- Authors are permitted and encouraged to post links to their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work .
