Analysis of Active and Reactive Power Control of a Stand-Alone PEM Fuel Cell Power Plant

El-Sharkh, M.Y.; Rahman, Arief; Alam, Mohammad Saad; Sakla, Adel A.; Byrne, P.C.; Thomas, T.R.

doi:10.1109/tpwrs.2004.836191

Cited by 108 publications

(46 citation statements)

References 8 publications

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“…It must be highlighted that, when analyzing the dynamic behavior of the MG, inverters are modeled based only on their control functions so that fast switching transients, harmonics, and inverter losses are neglected. This is the general procedure adopted, as described in [3], [6]- [8], [14], and [15].…”

Section: Inverter Modelingmentioning

confidence: 99%

Defining Control Strategies for MicroGrids Islanded Operation

Lopes

Moreira

Madureira

2006

IEEE Trans. Power Syst.

2,055

1,139

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Abstract-This paper describes and evaluates the feasibility of control strategies to be adopted for the operation of a microgrid when it becomes isolated. Normally, the microgrid operates in interconnected mode with the medium voltage network; however, scheduled or forced isolation can take place. In such conditions, the microgrid must have the ability to operate stably and autonomously. An evaluation of the need of storage devices and load shedding strategies is included in this paper.Index Terms-Dynamic response, energy storage, frequency control, microgrid, power system dynamic stability, voltage control.

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Section: Inverter Modelingmentioning

confidence: 99%

Defining Control Strategies for MicroGrids Islanded Operation

Lopes

Moreira

Madureira

2006

IEEE Trans. Power Syst.

2,055

1,139

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“…In this form of the nonlinear control, a tracking error may exist due to parameter uncertainty. To obtain a more robust control, a PI controller is applied as in [19]:…”

Section: Input/output State Feedback Linearizationmentioning

confidence: 99%

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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“…In this paper the DC/DC converter model is omitted. The electrical model of inverter is based on a model developed by El-Sharkh et al, [9]. The inverter inputs are fuel cell voltage (V FC ), modulation index (m) and phase angle on the AC voltage ( ).…”

Section: Fuel Processormentioning

confidence: 99%

“…PI is used to control modulation index, [9]. Voltage phase angle ( ) is controlled by the input hydrogen flow ( q H 2 in ).…”

Section: Fuel Processormentioning

confidence: 99%

Development of Solid Oxide Fuel Cell Based System in Stand Alone Mode

Vera¹,

Jurado²

2009

TOREJ

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Several technologies are being used in distributed generation applications with variable degree of success. Among those are: wind turbines, small-scale hydropower plants, biomass, microturbines, photovoltaic arrays and fuel cells. In a fuel cell, the chemical energy incorporated in the fuel is converted directly to electricity and heat. Fuel cell technology is one of the most interesting energy conversion systems offering nearly zero emissions, flexibility of operation and high conversion efficiency. Increasing demand for power and the depletion of fossil fuels are providing opportunities for the development of fuel cells as power generating systems. In this paper the modeling of Solid Oxide Fuel Cell (SOFC) based generation system, fuel processor (methane reformer) and power conditioning unit (inverter) are presented. Within acceptable limits, the effects of load variation on output voltage, efficiency and fuel flow demanded are investigated.SOFC based generation system use a stack consisting of 384 fuel cells connected in series, this provides 120-140kW output power in stand-alone mode. The system has been analyzed when a step load is applied. Matlab-Simulink® is used for the modeling and simulation of the fuel processor, fuel cell generator and power conditioning unit.

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Analysis of Active and Reactive Power Control of a Stand-Alone PEM Fuel Cell Power Plant

Cited by 108 publications

References 8 publications

Defining Control Strategies for MicroGrids Islanded Operation

Defining Control Strategies for MicroGrids Islanded Operation

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

Development of Solid Oxide Fuel Cell Based System in Stand Alone Mode

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