P-I Controlled Transformerless Inverter for Solar PV Systems: A Python-Based Simulation

This project presents the design and implementation of a Buck-Boost Transformer-less Inverter (BBTI) for grid-connected solar photovoltaic systems. Building upon existing research, this study introduces a novel control strategy utilizing a Proportional-Integral (PI) controller to enhance the inverter's performance. The PI controller effectively regulates output voltage and current, improving system stability and minimizing steady-state errors. Implemented in Python, this project leverages extensive libraries for numerical computation and visualization, enabling real-time monitoring and adjustments. The simulation results demonstrate significant improvements in the dynamic response of the inverter, allowing it to adapt quickly to varying load conditions and optimize power delivery to the grid. The enhanced control mechanism leads to a reduction in Total Harmonic Distortion (THD) and improved efficiency, validating the effectiveness of the proposed modifications. Overall, this project contributes to advancing the reliability and performance of transformer-less inverter technology in renewable energy applications.

Publication Details

Published
2025-04-16
DOI
https://doi.org/10.38124/ijisrt/25apr618
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.00
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article

P-I Controlled Transformerless Inverter for Solar PV Systems: A Python-Based Simulation

Multilevel Inverters and Converters
article

P-I Controlled Transformerless Inverter for Solar PV Systems: A Python-Based Simulation

article en

Abstract

This project presents the design and implementation of a Buck-Boost Transformer-less Inverter (BBTI) for grid-connected solar photovoltaic systems. Building upon existing research, this study introduces a novel control strategy utilizing a Proportional-Integral (PI) controller to enhance the inverter's performance. The PI controller effectively regulates output voltage and current, improving system stability and minimizing steady-state errors. Implemented in Python, this project leverages extensive libraries for numerical computation and visualization, enabling real-time monitoring and adjustments. The simulation results demonstrate significant improvements in the dynamic response of the inverter, allowing it to adapt quickly to varying load conditions and optimize power delivery to the grid. The enhanced control mechanism leads to a reduction in Total Harmonic Distortion (THD) and improved efficiency, validating the effectiveness of the proposed modifications. Overall, this project contributes to advancing the reliability and performance of transformer-less inverter technology in renewable energy applications.

Openalex Percentile: Top 94%
Multilevel Inverters and Converters
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P-I Controlled Transformerless Inverter for Solar PV Systems: A Python-Based Simulation · (2025) | TGRS Research Map | TGRS