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http://dx.doi.org/10.5207/JIEIE.2009.23.12.154

An Intelligent Control Method for Optimal Operation of a Fuel Cell Power System  

Hwang, Jin-Kwon (우석대학교 소방안전학과)
Choi, Tae-Il (한국전력 스마트 그리드 추진실 기술개발팀)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.23, no.12, 2009 , pp. 154-161 More about this Journal
Abstract
A fuel cell power plant is a very complex system which has various control loops with some non-linearity. For control of a fuel cell power plant, dynamic models of fuel cell stacks have been developed and simplified process flow diagrams of a fuel cell power plant has been presented. Using such a model of a Molten Carbonate Fuel Cell (MCFC) power plant, this paper deals with development of an intelligent setpoint reference governor (I-SRG) to find the optimal setpoints and feed forward control inputs for the plant power demand. The I-SRG is implemented with neural network by using Particle Swarm Optimization (PSO) algorithm based on system constraints and performance objectives. The feasibility of the I-SRG is shown through simulation of an MCFC power plant for tracking control of its power demand.
Keywords
MCFC Power Plant; Setpoint Reference Governor; Feed Forward Control; Load Tracking; Plant Efficiency;
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