Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system

Khan, Mohammad Junaid; Iqbal, M. Tariq

doi:10.1016/j.renene.2004.05.013

Cited by 215 publications

(107 citation statements)

References 14 publications

(13 reference statements)

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“…As put forward in [18], the amounts of gases consumed in the cathode/anode depend on the fuel supply, input flow rate, the cell output current and the electrode volumes. Given the input and output flow rates, the anode and cathode gas pressures are derived respectively as:…”

Section: Pressure On the Anode And Cathode Modelmentioning

confidence: 99%

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Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells

Chang

Chen

2014

Energies

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This paper presents a nonlinear control strategy utilizing the linearization and input-output decoupling approach for a nonlinear dynamic model of proton exchange membrane fuel cells (PEMFCs). The multiple-input single-output (MISO) nonlinear model of the PEMFC is derived first. The dynamic model is then transformed into a multiple-input multiple-output (MIMO) square system by adding additional states and outputs so that the linearization and input-output decoupling approach can be directly applied. A PI tracking control is also introduced to the state feedback control law in order to reduce the steady-state errors due to parameter uncertainty. This paper also proposes an adaptive genetic algorithm (AGA) for the multi-objective optimization design of the tracking controller. The comprehensive results of simulation demonstrate that the PEMFC with nonlinear control has better transient and steady-state performance compared to conventional linear techniques.

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Section: Pressure On the Anode And Cathode Modelmentioning

confidence: 99%

“…The addition of two extra states x 3 and x 4 and two extra outputs y 2 and y 3 converts the MISO nonlinear system, Equation (18), into a MIMO system with a non-singular decoupling matrix. Such system is extended as: …”

Section: Mimo Nonlinear Dynamic Modeling Of a Pemfcmentioning

confidence: 99%

Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells

Chang

Chen

2014

Energies

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“…In spite of their relatively high cost, there has been very remarkable growth in installed Photovoltaic systems. However the sizing and the optimization of photovoltaic system is a difficult stage for the engineer because of the huge influence of meteorological conditions on the characteristics and performance of a photovoltaic module [5]. A number of studies have been made to determine how the efficiency varies for different PV technologies [6][7].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Predictive Models for Photovoltaic Module Performance under Tropical Climate

2012

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“…The change of this resistance is expressed empirically and the development of the temperature is also solved by the empirical way in [7]. Therefore, the temperature change of the fuel cell stack is considered and it can be estimated according to [2,8].…”

mentioning

confidence: 99%

“…Therefore, the aerodynamic, mechanical, electrical and control blocks are required for the wind subsystem modelling. The turbine model is represented by the mechanical power of the wind turbine extracted from the wind [10]:…”

mentioning

confidence: 99%

The definition of input parameters for modelling of energetic subsystems

Ptacek

2013

EPJ Web of Conferences

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Summary. -This paper is a short review and a basic description of mathematical models of renewable energy sources which present individual investigated subsystems of a system created in Matlab/Simulink. It solves the physical and mathematical relationships of photovoltaic and wind energy sources that are often connected to the distribution networks. The fuel cell technology is much less connected to the distribution networks but it could be promising in the near future. Therefore, the paper informs about a new dynamic model of the low-temperature fuel cell subsystem, and the main input parameters are defined as well. Finally, the main evaluated and achieved graphic results for the suggested parameters and for all the individual subsystems mentioned above are shown.

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Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system

Cited by 215 publications

References 14 publications

Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells

Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells

Comparison of Predictive Models for Photovoltaic Module Performance under Tropical Climate

The definition of input parameters for modelling of energetic subsystems

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