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Paper Information

Journal:   JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING   SEPTEMBER 2014 , Volume 3 , Number 10; Page(s) 20 To 23.
 
Paper: 

FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS

 
 
Author(s):  TEADADI ZOLEKH*, CHANGIZIYAN HASSAN
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, AHAR BRANCH, ISLAMIC AZAD UNIVERSITY, AHAR, IRAN
 
Abstract: 

In the near future the use of distributed generation systems will play a big role in the production of electrical energy. One of the most common types of DG technologies, fuel cells, which can be connected to the national grid by power electronic converters or work alone Studies the dynamic behavior and stability of the power grid is of crucial importance. These studies need to know the exact model of dynamic elements. In this paper, a new method based on a neural network algorithm for controlling the fuel cell voltage is provided. The effects of load change the output voltage characteristic of the fuel cell unit is checked Simulations in MATLAB / SIMULINK. The results show that the prosecution is conducted in an appropriate manner Voltage Stabilization time.

 
Keyword(s): FUEL CELL, DYNAMIC BEHAVIOR, NEURAL NETWORKS, HYDROGEN, NEURAL NETWORK CONTROLLER
 
 
References: 
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Citations: 
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APA: Copy

TEADADI, Z., & CHANGIZIYAN, H. (2014). FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 3(10), 20-23. https://www.sid.ir/en/journal/ViewPaper.aspx?id=509949



Vancouver: Copy

TEADADI ZOLEKH, CHANGIZIYAN HASSAN. FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING. 2014 [cited 2021July25];3(10):20-23. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509949



IEEE: Copy

TEADADI, Z., CHANGIZIYAN, H., 2014. FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, [online] 3(10), pp.20-23. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=509949.



 
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