A Simplified Dynamic Model of Grid-Connected Fuel-Cell Generators

Hatziadoniu, Constantine J.; Lobo, A.A.; Pourboghrat, Farzad; Daneshdoost, M.

doi:10.1109/mper.2001.4311183

Cited by 63 publications

(25 citation statements)

References 9 publications

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“…Control and stability enhancement of fuel cells systems [25], [26] is considered by several researchers; in particular investigation of the effect of fuel cells on stability of distribution system is a major research topic in these studies. Reference in [27] describe a simplified fuel-cell model and explains the effect of the mix between fuel cell and gas turbine generation on system stability.…”

Section: Controller Designmentioning

confidence: 99%

Model Based Controller Design for Hydrogen Fuel Cell Systems

Thanapalan¹,

Premier²,

Guwy³

2024

RE&PQJ

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In this paper, fuel cell system modelling alongside controller development for performance improvements, are investigated. Essentially and in general terms there are two approaches to modelling; black box modelling and detailed dynamic modelling. This work addresses both modelling approaches. These models are then used for hydrogen fuel cell (FC) controller development for improved system performance. A fuzzy-PID hybrid controller has been designed and tested and the results indicate that the fuzzy-PID hybrid control strategy can improve the system's performance significantly.

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Section: Controller Designmentioning

confidence: 99%

Model Based Controller Design for Hydrogen Fuel Cell Systems

Thanapalan¹,

Premier²,

Guwy³

2024

RE&PQJ

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“…The partial pressure of water can be calculated using the same expression for partial pressure of hydrogen and oxygen [6]. Using equations (10) -(15), the dynamic model of FC is simulated using MATLAB and the block diagram is shown in Fig.5.…”

Section: Dynamic Model Of Pemfcmentioning

confidence: 99%

Mathematical Modeling of Proton Exchange Membrane Fuel Cell

Seyezhai¹,

Mathur²

2011

IJCA

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“…Several researches has been done, for obtaining the PEMFC model, ranging from stationary and dynamic models [1], [2], [3], [4], [5], [6] to the control design applied to a fuel cell vehicle and a distributed generation system [7], [8].…”

Section: Introductionmentioning

confidence: 99%

A New Feedback Linearization-NSGA-II based Control Design for PEM Fuel Cell

Abaspour¹,

Parsa²,

Sadeghi³

2014

IJCA

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This paper presents a new method to design nonlinear feedback linearization controller for polymer electrolyte membrane fuel cells (PEMFCs). A nonlinear controller is designed based on nonlinear model to prolong the stack life of PEM fuel cells. Since it is known that large deviations between hydrogen and oxygen partial pressures can cause severe membrane damage in the fuel cell, feedback linearization is applied to the PEM fuel cell system, thus the deviation can be kept as small as possible during disturbances or load variations. To obtain an accurate feedback linearization controller, tuning the linear parameters are always important. So in proposed study NSGA_II method was used to tune the designed controller in aim to decrease the controller tracking error. The simulation result showed that the proposed method tuned the controller efficiently.

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A Simplified Dynamic Model of Grid-Connected Fuel-Cell Generators

Cited by 63 publications

References 9 publications

Model Based Controller Design for Hydrogen Fuel Cell Systems

Model Based Controller Design for Hydrogen Fuel Cell Systems

Mathematical Modeling of Proton Exchange Membrane Fuel Cell

A New Feedback Linearization-NSGA-II based Control Design for PEM Fuel Cell

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