شماره ركورد كنفرانس :
5060
عنوان مقاله :
Modelling and Control of Solid oxide Fuel cell With Predective Power Control Method
Author/Authors :
Heydar ، Kanani Department of Electrical Eng K. N. Toosi University of Technology Tehran, Iran , jafar ، gholami Gorji Department of Electrical Eng K. N. Toosi University of Technology Tehran, Iran , K.، Abbaszadeh Department of Electrical Eng K. N. Toosi University of Technology Tehran, Iran
كليدواژه :
SOFC , boost converter , model predictive control(MPC) , DC-DC boost converter
عنوان كنفرانس :
11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC)
چكيده فارسي :
فاقد چكيده فارسي
چكيده لاتين :
Connecting the fuel cell to the power grid is one
of the key issues in the field of renewable energy. Because the
fuel cell has an irregular DC and low output voltage, this voltage
needs to be increased to connect to the power grid. Fuel cells also
have a slow dynamic response due to the slow chemical reaction
in which they occur, so we need a DC-DC converter at the fuel
cell output. In this paper, a 50 kW fuel cell with DC-DC
converter is provided to increase the voltage level, also this DC
voltage converted to AC voltage to connect the system to utility
grid. The model predictive control (MPC) is implemented to
control the active and reactive power output of the fuel cell
connected to utility grid. The control system is based on the
criterion function selects the most optimal switching mode for
the inverter. The response of the system is evaluated and
discussed. The system is simulated by MATLAB software. The
Simulation results show fast tracking the reference without
distortion at the output as well as the high speed of the control
system to power changes.
