Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system
作者： A. Hajizadeh , M.A. Golkar
DOI: 10.1049/IET-RPG.2008.0027
关键词:
摘要: 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 storage auxiliary power source. The overall configuration HDG system given, dynamic models for SOFC plant, bank its electronic interfacing are briefly described, controller design methodologies conditioning units to flow from plant utility grid presented. To distribute between sources, fuzzy switching has been developed. Then, a Lyapunov based-neuro algorithm presented designing controllers DC/DC DC/AC converters; regulate input meet desirable output demand. Simulation results given show performance load-following management system.
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