An Analysis of the Control and Operation of a Solid Oxide Fuel-Cell Power Plant in an Isolated System

Li, Y.H.; Choi, S.S.; Rajakaruna, Sumedha

doi:10.1109/tec.2005.847998

Cited by 148 publications

(97 citation statements)

References 8 publications

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“…It is shown that the response time of the stack terminal voltage and temperature after a step change of the dc output power is very close to what have been reported in [16]. 0-D SOFC models have been widely used for load tracking studies under both stand-alone and grid-connected conditions [21][22][23]. Such a lumped-parameter model can emulate the FC operations with acceptable accuracy only if certain strict assumptions are met, e.g., the fuel utilization factor is constant [11].…”

Section: Introductionsupporting

confidence: 66%

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Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Zhu³

2015

Energies

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Based on the benchmark solid oxide fuel cell (SOFC) dynamic model for power system studies and the analysis of the SOFC operating conditions, the nonlinear programming (NLP) optimization method was used to determine the maximum electrical efficiency of the grid-connected SOFC subject to the constraints of fuel utilization factor, stack temperature and output active power. The optimal operating conditions of the grid-connected SOFC were obtained by solving the NLP problem considering the power consumed by the air compressor. With the optimal operating conditions of the SOFC for the maximum efficiency operation obtained at different active power output levels, a hierarchical load tracking control scheme for the grid-connected SOFC was proposed to realize the maximum electrical efficiency operation with the stack temperature bounded. The hierarchical control scheme consists of a fast active power control and a slower stack temperature control. The active power control was developed by using a decentralized control method. The efficiency of the proposed hierarchical control scheme was demonstrated by case studies using the benchmark SOFC dynamic model.

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Section: Introductionsupporting

confidence: 66%

“…Typically, Tmin = 1173 K, Tmax = 1273 K, Pmin = 0.1 pu and Pmax = 1 pu of the SOFC rated power [1,23].…”

Section: Operating Variables and Constraintsmentioning

confidence: 99%

Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Zhu³

2015

Energies

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“…Usually, hydrogen is as fuel gas and cheap air is as oxidant gas. Based on constant output voltage mode of SOFC, in the practical operation, the outside resistance load demand is met by the use of providing the proper amount of hydrogen and air, meanwhile, it is necessary to keep SOFC constant output voltage [20] and fuel utilization rate within a safe range. The fuel utilization rate is to be the ratio of the amount of hydrogen that generates electrochemical reaction in the SOFC to the amount of hydrogen that is fed into the SOFC, it is an important parameter influencing the performance of SOFC system.…”

Section: Introductionmentioning

confidence: 99%

Multiple Model Predictive Hybrid Feedforward Control of Fuel Cell Power Generation System

Sun

Shen

et al. 2018

Sustainability

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Solid oxide fuel cell (SOFC) is widely considered as an alternative solution among the family of the sustainable distributed generation. Its load flexibility enables it adjusting the power output to meet the requirements from power grid balance. Although promising, its control is challenging when faced with load changes, during which the output voltage is required to be maintained as constant and fuel utilization rate kept within a safe range. Moreover, it makes the control even more intractable because of the multivariable coupling and strong nonlinearity within the wide-range operating conditions. To this end, this paper developed a multiple model predictive control strategy for reliable SOFC operation. The resistance load is regarded as a measurable disturbance, which is an input to the model predictive control as feedforward compensation. The coupling is accommodated by the receding horizon optimization. The nonlinearity is mitigated by the multiple linear models, the weighted sum of which serves as the final control execution. The merits of the proposed control structure are demonstrated by the simulation results.

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“…In recent years, many dynamic models of SOFC have been reported by researchers (Padulles et al, 2000;Zhu & Tomsovic, 2002;Sedghisigarchi & Feliachi, 2004;Li et al, 2005;Goel et al, 2006;Wang & Nehrir, 2007a). Padulles et al presented a basic SOFC dynamic model which considers only ohmic voltage loss.…”

Section: Introductionmentioning

confidence: 99%

“…But, a fuel reformer was not considered in their model. Li et al, (2005) only added a methanol reformer to the model proposed in Padulles et al, (2000). They suggested two control schemes as constant utilization control and constant voltage control for the SOFC model.…”

Section: Introductionmentioning

confidence: 99%

The performance of thermal based modified solid oxide fuel cell (SOFC) model under different DC load conditions

Gelen

Yalçınöz

2015

J Engin Res

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An Analysis of the Control and Operation of a Solid Oxide Fuel-Cell Power Plant in an Isolated System

Cited by 148 publications

References 8 publications

Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Hierarchical Load Tracking Control of a Grid-Connected Solid Oxide Fuel Cell for Maximum Electrical Efficiency Operation

Multiple Model Predictive Hybrid Feedforward Control of Fuel Cell Power Generation System

The performance of thermal based modified solid oxide fuel cell (SOFC) model under different DC load conditions

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