© The Institution of Engineering and Technology
An innovative control strategy is proposed of hybrid distributed generation (HDG) systems, including solid oxide fuel cell (SOFC) as the main energy source and battery energy storage as the auxiliary power source. The overall configuration of the HDG system is given, and dynamic models for the SOFC power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between power sources, the fuzzy switching controller has been developed. Then, a Lyapunov based-neuro fuzzy algorithm is presented for designing the controllers of fuel cell power plant, DC/DC and DC/AC converters; to regulate the input fuel flow and meet a desirable output power demand. Simulation results are given to show the overall system performance including load-following and power management of the system.
References
-
-
1)
-
Rahman, S.: `Fuel cell as a distributed generation technology', Proc. IEEE Power Engineering Society Summer Meeting, 2001, p. 551–552.
-
2)
-
J. Padullés ,
G.W. Ault ,
J.R. McDonald
.
An integrated SOFC plant dynamic model for power system simulation.
J. Power Sources
,
495 -
500
-
3)
-
L. Gao ,
Z. Jiang ,
R.A. Dougal
.
An actively controlled fuel cell/battery hybrid to meet pulsed power demands.
J. Power Sources
,
202 -
207
-
4)
-
Key, T.S., Sitzlar, H.E., Geist, T.D.: `Fast response, load-matching hybrid fuel cell', TN NREL/SR-560-32743, Final Tech. Prog. Rep., EPRI PEAC Corp., Knoxville, June 2003.
-
5)
-
M. Uzunoglu ,
M.S. Alam
.
Dynamic modeling, design, and simulation of a combined PEM fuel cell and ultracapacitor system for stand-alone residential applications.
IEEE Trans. Energy Convers.
,
3 ,
767 -
775
-
6)
-
Z. Jiang ,
L. Gao ,
R.A. Dougal
.
Flexible multiobjective control of power converter in active hybrid fuel cell/battery power sources.
IEEE Trans. Power Electron.
,
1 ,
244 -
253
-
7)
-
Gao, J., Yel, Y., Shi, T., Jiang, Q., Jia, L..: `Intelligent switching system methodology and its application in complex process control system', Proc. 2002 IEEE Int. Conf. Artificial Intelligence Systems (ICAIS'02), 2002.
-
8)
-
Powell, B.K., Pilutti, T.E.: `A range extender hybrid electric vehicle dynamic model', Proc. 33rd IEEE Conf. Decision and Control, 15 December 1994, Lake Buena Vista, Fla..
-
9)
-
O.C. Onar ,
M. Uzunoglu ,
M.S. Alam
.
Dynamic modeling, design and simulation of a wind/fuel cell/ultra-capacitor-based hybrid power generation system.
J. Power Sources
,
707 -
722
-
10)
-
Y. Zhu ,
K. Tomsovic
.
Development of models for analyzing the load-following performance of microturbines and fuel cells.
Electr. Power Syst. Res.
,
1 -
11
-
11)
-
Z. Jiang ,
L. Gao ,
R.A. Dougal
.
Adaptive control strategy for active power sharing in hybrid fuel cell/battery power sources.
IEEE Trans. Energy Convers.
,
507 -
515
-
12)
-
C.-H. Lee ,
C.-C. Teng
.
Identification and control of dynamic systems using recurrent fuzzy neural networks.
IEEE Trans. Fuzzy Syst.
,
4 ,
349 -
366
-
13)
-
A. Hajizadeh ,
M.A. Golkar
.
Intelligent power management strategy of hybrid distributed generation system.
Int. J. Electri. Power Energy Syst.
,
783 -
795
-
14)
-
Hajizadeh, A., Golkar, M.A.: `Intelligent control of fuel cell distributed generation systems', The 14th Int. Conf. Intelligent System Applications to Power Systems, ISAP 2007, 4–8 November 2007, Kaohsiung, Taiwan.
-
15)
-
Wang, L.X.: `Back-propagation of fuzzy systems as nonlinear dynamic system identifiers', Proc. IEEE Int. Conf. Fuzzy Systems, 1992, San Diego, CA, p. 1409–1418.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2008.0027
Related content
content/journals/10.1049/iet-rpg.2008.0027
pub_keyword,iet_inspecKeyword,pub_concept
6
6