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Discrete Time Modeling And Control Of DC/DC Switching Converter For Solar Energy SystemsPowerPoint Presentation

Discrete Time Modeling And Control Of DC/DC Switching Converter For Solar Energy Systems

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### Discrete Time Modeling And Control Of DC/DC Switching Converter For Solar Energy Systems

### Grid-connected Renewable System

### Converter Discrete-Time Model

### Converter Discrete-time Control Design

### Simulation Results

ShaghayeghKazemlou

Advisor: Dr. ShahabMehraeen

Louisiana State University

Advanced Mechanical Design

December 2008

Outline Converter For Solar Energy Systems

- Part I: Grid-connected Renewable System
- Part II: Converter Discrete-Time Model
- Part III: Converter Discrete-time Control Design
- Part IV: Simulation Results
- Part V: Summary and Future Works

Part Converter For Solar Energy SystemsI

Advanced Mechanical Design

December 2008

Solar Converter For Solar Energy SystemsSystem Model

- Solar panels
- DC-DC buck converter
- Grid-tie inverter (GTI)

Solar power generation system

- stabilizing the inverter DC-link capacitor
- Omitting solar power oscillations

Objective

Grid-Tie Converter For Solar Energy SystemsInverter

Solar power generation system

controller

dynamics

Synchronous Generator (SG)

Grid-Tie Converter For Solar Energy SystemsInverter Model/Observer

SG dynamical equations

Inverter dynamical equations

( )

- Inverter gain ( ) and ac voltage angle ( ) are the control inputs

Part Converter For Solar Energy SystemsII

Advanced Mechanical Design

December 2008

DC-DC Buck Converter Converter For Solar Energy Systems

dc-dc buck converter control system

- Objective: Maintaining the solar power constant by adjusting duty cycle d

Converter Converter For Solar Energy SystemsDiscrete-Time Model

- Converter discrete-time equations

- Photovoltaic array output current is a nonlinear function of

Part Converter For Solar Energy SystemsIII

Advanced Mechanical Design

December 2008

Neural Network Converter For Solar Energy Systemsfunction approximation

: activation function

- Weight estimation error :

- NN weight update law :

: positive design constant

Part Converter For Solar Energy SystemsIV

Advanced Mechanical Design

December 2008

Simulation Results Converter For Solar Energy Systems

- System parameters

- AVR+PSS mechanism for inverter
- operational frequency of the converter : 10 kHz
- three-phase resistive load with on each phase
- Disturbance : load change from to at
- solar module maximum power :
- solar module maximum power point voltage :

Simulation Results Converter For Solar Energy Systems

- Solar Voltage Less than MPP Voltage:

Converter input power

Converter input voltage

- Disturbance between t=1.4s to t=1.6s

Simulation Results Converter For Solar Energy Systems

- Solar Voltage Less than MPP Voltage:

Converter output voltage

Converter inductance current

Converter input current

Simulation Results Converter For Solar Energy Systems

- Solar Voltage higher than MPP Voltage:

Converter input power

Converter input voltage

Converter output voltage

Simulation Results Converter For Solar Energy Systems

- Input Voltage Adjustment to Load Change:

Converter input power

Converter input voltage

Converter output voltage

Summary Converter For Solar Energy Systems

- The inverter is controlled bya novel stabilizer similar to power system stabilizer (PSS).
- The interaction of the solar array dc-dc converter with the GTI is addressed.
- A nonlinear discrete-time model of a photovoltaic-connected buck converter was presented.
- Adaptive neural network (NN) controller is employed to enhance stability of dc-dc converter connected to grid-tie inverter (GTI) in the presence of power system disturbances.
- Simulation results of the controller imply that the converter input voltage and power as well as the inductor current are stabilized which verifies the accuracy of the converter discrete-time model and the effectiveness of the proposed discrete-time controller.

Recommendations for Future Works Converter For Solar Energy Systems

- Improve the efficiency and effectiveness of discrete-time adaptive neural network in the power system stability and control
- The system model can be developed to a more general distributed generation system where other renewable generators or synchronous generators all are interconnected. In this case each system is influenced by other subsystem’s states and a more general control method is necessary.
- The solar system connected dc-dc converter can be modeled in a dc distribution system with interconnected subsystems working in high penetration of renewable generation.

Thank Converter For Solar Energy SystemsYou for Your Attention

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