Fuel Cell Voltage Control for Load Variations Using Neural Networks

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.