Intelligent Control of a Fuel Cell Power Plant
نویسندگان
چکیده
Fuel cells will become more attractive to mainstream electricity users as they improve in capability and decrease in cost. Molten Carbonate Fuel Cell (MCFC) stack dynamic model was developed to analyze a spectrum of dynamic responses, and a simplified process flow diagram of a fuel cell power plant is presented. The neural network (NN) computing architectures suggest that they may be good candidates for implementing real-time controllers for complicated, nonlinear dynamic systems. A new concept of intelligent setpoint reference governor (I-SRG) using heuristic algorithm will be developed to find the optimal setpoints based on system constraints and performance objectives.
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