Proceedings ArticleDOI
An integrated multi-task control system for fuel-cell power plants
Wenli Yang,Kwang Y. Lee +1 more
- pp 2988-2993
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TLDR
An integrated multi-task control system using artificial intelligence technologies is proposed to improve the efficiency and reliability of a hybrid fuel-cell with gas turbine power plant.Abstract:
Development of Smart Grid requires power plants to be more intelligent, efficient, and reliable, which raises new challenges of the control system design for modern power plants. Regarding these requirements, an integrated multi-task control system using artificial intelligence technologies is proposed to improve the efficiency and reliability of a hybrid fuel-cell with gas turbine power plant. The integrated control system consists of a hybrid Neural Network plant model with online learning ability, an Optimal Reference Governor generating optimal setpoints as local control references, and a Fault Diagnosis and Accommodation system to detect internal plant faults and to regulate the plant during plant failures. The three subsystems are integrated to provide compressive management for the power plant. The hybrid fuel-cell power plant is introduced; the structure and strategies of the control system are discussed, and simulation results are presented.read more
Citations
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References
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Journal ArticleDOI
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Particle swarm optimization for various types of economic dispatch problems
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Journal ArticleDOI
Development of a stack simulation model for control study on direct reforming molten carbonate fuel cell power plant
TL;DR: In this paper, a nonlinear mathematical model of an internal reforming molten carbonate fuel cell stack is developed for control system applications to fuel cell power plants based on principles of energy and mass component balances and thermochemical properties.