Research status and advances in modeling and control of solid oxide fuel cell gas turbine hybrid generation system

Abstract

Solid oxide fuel cell gas turbine (SOFC-GT) hybrid generation system is one of highly-efficient clean generation technologies in the future. Research of modeling, optimization and control of the hybrid system is very meaningful to the system integration and commercialization. By introducing the state-of-the-art achievements including mechanistic and semi-empirical model of single cell, stack model, hybrid system model, system integration and optimization, control-oriental dynamic model and control of distributed generation system, the multi-scale independent research and development strategy are presented. Based on the general mechanistic cell model which is suitable for high fuel utilization and multi-component fuel, more accurate semi-empirical or approximate analytical model can be developed for system-level analysis. Based on building the multi-scale model library with independent intellectual property rights, the platform of design and optimization for steady-state system analysis is provided. In the V-type mode, the advanced control algorithms are developed to form the rapid control prototype based on the analysis of system dynamic characteristics. Meanwhile, the hardware-in-the-loop simulation technology with real-time controller can be used for the pre-integration of SOFC-GT system.