This paper presents an enhancement of stand-alone solar systems through the integration of embedded systems, specifically leveraging the use of Buck and Boost converters. These converters are controlled by high-frequency Pulse Width Modulation (PWM) technique; enable efficient energy regulation and system stability under varying solar conditions. The Buck converter steps down the voltage for safe battery charging, while the Boost converter ensures consistent power delivery to low-voltage components like microcontrollers. The system design employs real-time data logging to monitor key environmental parameters, such as solar irradiation and temperature, as well as critical photovoltaic metrics like voltage and current. This dynamic approach facilitates optimal energy management and helping to improve the performance and reliability of off-grid solar energy systems. The obtained simulation results show the significant improvements in system efficiency, making this solution scalable and cost-effective, particularly for remote or off-grid applications.

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Enhancing Stand-Alone Solar Systems with Embedded Systems: Integration of Buck and Boost Converters

  • Abdelkader Saidi,
  • Boubakeur Azoui,
  • Saad Mekhilef,
  • Chaouki Ghenai,
  • Nabil Benhadda

摘要

This paper presents an enhancement of stand-alone solar systems through the integration of embedded systems, specifically leveraging the use of Buck and Boost converters. These converters are controlled by high-frequency Pulse Width Modulation (PWM) technique; enable efficient energy regulation and system stability under varying solar conditions. The Buck converter steps down the voltage for safe battery charging, while the Boost converter ensures consistent power delivery to low-voltage components like microcontrollers. The system design employs real-time data logging to monitor key environmental parameters, such as solar irradiation and temperature, as well as critical photovoltaic metrics like voltage and current. This dynamic approach facilitates optimal energy management and helping to improve the performance and reliability of off-grid solar energy systems. The obtained simulation results show the significant improvements in system efficiency, making this solution scalable and cost-effective, particularly for remote or off-grid applications.