To enhance solar energy efficiency, this paper presents an advanced solar tracking system integrated with Maximum Power Point Tracking (MPPT) technology and a backup power feature. The system utilizes Light Dependent Resistors (LDRs) to identify the optimal sunlight levels. A microcontroller processes the data and uses servo motors to reorient the solar panel. The MPPT controller dynamically adjusts voltage and current to optimize power output, guaranteeing optimal system performance under a range of environmental circumstances. A battery backup system also ensures constant power supply, compensating for variations in solar output. Critical metrics including voltage, current, temperature, light intensity, and power are tracked in real time with the use of the Blynk application and a computer interface. This makes data-driven performance analysis and optimization possible, which enhances energy management. This paper improves solar power use by combining real-time monitoring, MPPT control, and solar tracking, guaranteeing dependable power supply and effective energy harvesting.

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Enhanced Solar Tracking and MPPT with Integrated Backup Power for Maximum Efficiency

  • S. Yamuna,
  • S. Ashwanth,
  • D. Krithish,
  • S. Malar,
  • B. Mathili Shri,
  • N. B. Pradeep

摘要

To enhance solar energy efficiency, this paper presents an advanced solar tracking system integrated with Maximum Power Point Tracking (MPPT) technology and a backup power feature. The system utilizes Light Dependent Resistors (LDRs) to identify the optimal sunlight levels. A microcontroller processes the data and uses servo motors to reorient the solar panel. The MPPT controller dynamically adjusts voltage and current to optimize power output, guaranteeing optimal system performance under a range of environmental circumstances. A battery backup system also ensures constant power supply, compensating for variations in solar output. Critical metrics including voltage, current, temperature, light intensity, and power are tracked in real time with the use of the Blynk application and a computer interface. This makes data-driven performance analysis and optimization possible, which enhances energy management. This paper improves solar power use by combining real-time monitoring, MPPT control, and solar tracking, guaranteeing dependable power supply and effective energy harvesting.