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Grid Connected PV system with Zeta Converter in MATLAB

Grid Connected PV system with Zeta Converter in MATLAB

Introduction

In this discussion, we explore the integration of a Zeta converter in a grid-connected solar photovoltaic (PV) system. The Zeta converter plays a crucial role in boosting the voltage from the PV panels and extracting maximum power, optimizing the energy transfer to the grid. This innovative approach ensures efficient power generation and delivery, even under varying irradiation conditions.


Zeta Converter in Solar PV Systems

The Zeta converter is strategically positioned between the solar PV panels and the grid inverter. Its primary function is to elevate the voltage generated by the PV array from 290 volts to the required 600 volts for seamless integration with the 400-volt, 50-hertz grid. This process involves careful design and implementation to meet the specific requirements of the PV system.

PV Panel Configuration

The PV array consists of 47 parallel strings, each comprising 10 series modules. Each panel has a maximum power output of 213.15 Watts, with a voltage at the maximum power point of 29 volts and a current of 7.35 amps. The total system can supply up to 100.2 kilowatts.

Zeta Converter Design

Designing the Zeta converter involves intricate calculations for inductance (L1, L2) and capacitance (C1). The values are determined through equations tailored for Zeta converters, ensuring optimal performance. These calculations are essential for achieving the desired voltage boost from the PV array.

Maximum Power Point Tracking (MPPT)

To extract the maximum power from the PV panels, an Incremental Conductance MPPT algorithm is employed. This algorithm continually adjusts the duty cycle of the Zeta converter based on the changing environmental conditions, maximizing power output. The MPPT process involves measuring PV voltage and current and utilizing incremental conductance calculations.

DC-DC and DC-AC Conversion

The Zeta converter represents the first stage of conversion in the system, transitioning from DC to DC. Subsequently, a second conversion takes place, where a three-phase inverter facilitates the DC-AC transition. This inverter is controlled using voltage and current control concepts, ensuring a smooth transfer of power to the grid.

Feedforward Decoupling Control

To enhance control efficiency, a feedforward decoupling control concept is applied. This approach involves transforming the ABC quantities of grid voltage and inverter current into DQ quantities. Park transformation is utilized, with the phase angle (Omega T) obtained through a Phase-Locked Loop (PLL).

Voltage and Current Control

The voltage control method is employed to regulate the dieseling voltage at approximately 600 volts. This is achieved through a Proportional-Integral (PI) controller, which generates a reference current (ID). Simultaneously, a current controller is used to control the inverter current, ensuring it aligns with the reference current.

Harmonic Elimination

Considering the potential presence of harmonics in the inverter current, an LCL filter is implemented to eliminate harmonic distortions. This filter enhances the overall quality of the power delivered to the grid.

Simulation and Results

The system's performance is evaluated under varying irradiation conditions, ranging from 1000 to 500 Watts per square meter. The simulation results demonstrate the ability of the Zeta converter and associated control mechanisms to adapt and maintain efficient power generation. Grid current remains sinusoidal, even with changing irradiation levels.

Harmonic Analysis

Harmonic analysis of the grid current reveals low Total Harmonic Distortion (THD) levels, well below the acceptable limit of 5%. This emphasizes the effectiveness of the LCL filter in reducing harmonic content, ensuring the power delivered to the grid is of high quality.

Conclusion

The integration of a Zeta converter in a grid-connected solar PV system showcases a sophisticated approach to power optimization. Through meticulous design, MPPT algorithms, and advanced control concepts, the system efficiently adapts to varying environmental conditions, maximizing power extraction and minimizing harmonic distortions. This model serves as a promising solution for enhancing the reliability and performance of grid-connected solar power systems.

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