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Information Journal Paper

Title

FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS

Pages

  20-23

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.

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    APA: Copy

    TEADADI, ZOLEKH, & CHANGIZIYAN, HASSAN. (2014). FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 3(10), 20-23. SID. https://sid.ir/paper/333828/en

    Vancouver: Copy

    TEADADI ZOLEKH, CHANGIZIYAN HASSAN. FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING[Internet]. 2014;3(10):20-23. Available from: https://sid.ir/paper/333828/en

    IEEE: Copy

    ZOLEKH TEADADI, and HASSAN CHANGIZIYAN, “FUEL CELL VOLTAGE CONTROL FOR LOAD VARIATIONS USING NEURAL NETWORKS,” JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, vol. 3, no. 10, pp. 20–23, 2014, [Online]. Available: https://sid.ir/paper/333828/en

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