Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system

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Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system

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An innovative control strategy is proposed of hybrid distributed generation (HDG) systems, including solid oxide fuel cell (SOFC) as the main energy source and battery energy storage as the auxiliary power source. The overall configuration of the HDG system is given, and dynamic models for the SOFC power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between power sources, the fuzzy switching controller has been developed. Then, a Lyapunov based-neuro fuzzy algorithm is presented for designing the controllers of fuel cell power plant, DC/DC and DC/AC converters; to regulate the input fuel flow and meet a desirable output power demand. Simulation results are given to show the overall system performance including load-following and power management of the system.

Inspec keywords: distributed power generation; fuel cell power plants; fuzzy control; Lyapunov matrix equations; power generation control; hybrid power systems

Other keywords: fuzzy neural control; power management; fuel cell-battery distributed power generation system; hybrid distributed generation; fuel cell power plant; battery bank

Subjects: Fuzzy control; Fuel cell power plants; Distribution networks; Neurocontrol; Control of electric power systems

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