Fuel Cell Voltage Control for Load Variations Using Neural Networks
محورهای موضوعی : journal of Artificial Intelligence in Electrical Engineering
Zolekh Teadadi
1
()
Hassan Changiziyan
2
()
کلید واژه: Hydrogen, Neural Networks, fuel cell, Dynamic Behavior, Neural network controller,
چکیده مقاله :
In the near future the use of distributed generation systems will play a big role in the production ofelectrical energy. One of the most common types of DG technologies , fuel cells , which can be connectedto the national grid by power electronic converters or work alone Studies the dynamic behavior andstability of the power grid is of crucial importance. These studies need to know the exact model of dynamicelements. In this paper, a new method based on a neural network algorithm for controlling the fuel cellvoltage is provided. The effects of load change the output voltage characteristic of the fuel cell unit ischecked Simulations in MATLAB / SIMULINK. The results show that the prosecution is conducted in anappropriate manner Voltage Stabilization time.
[1]M.R. Ashraf Khorasani, M.Zamani, S.
Asghari, B.fageh emani, Winter 1388,
"Design 5 kW fuel cell system," Journal of
Energy
[2]M. Samavati, et al, 1388," report on the
conceptual design of the project design and
fuel cell CHP systems 5 KW", fuel cell
groups, Research Center of Engineering
Esfahan
[3]N.Frkhzadarshad,S.A.Purmusavy,."Simulatio
n and modeling of dynamic fuel cell systems
for distributed generation applications", the
sixth conference on energy, F-PRE-272-98
[4] C. Tabatabai, 1385 "fuel cell technology and
its application in the car", Futures
Conference, technology eyes expansion
[5]H. Dilafruz, 1385, "Estimation of sediment
Intelligent Artificial Neural Networks",
Thesis, Faculty of Engineering, University of
Tabriz
[6]J.Arkart,M. Ghazanfari,1383, "Neural
Networks (functional principle)" University
of Science and Technology Iran
[7] V.R, V.Paul,"Neural Network Based Control
for PEM Fuel Cells"IOSR Journal of
Electronics & Communication Engineering
(IOSR-JECE) ISSN (e): 2278-1684 ISSN
(P):2320-334x, pp47-52
[8]M.Hatti,M.Tioursi,"Dynamic Neural Network
Controller Model of PEM Fuel Cell System",
International Journal of Hydrogen Energy,
34(2009)5015-5021
