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Raspberry Pi based photovoltaic I-V curve tracer.

P Casado1, J M Blanes1, C Torres1

  • 1Industrial Electronics Group, University Miguel Hernández of Elche, Spain.

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Summary
This summary is machine-generated.

A new photovoltaic current-voltage (I-V) tracer was developed using a Raspberry Pi for efficient testing of solar panels. This system verifies solar panel specifications and detects failures quickly.

Keywords:
Analog Discovery 2I-V CurvesPhotovoltaicPythonRaspberry PiSolar Panels

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Instrumentation and Measurement

Background:

  • Photovoltaic (PV) systems require accurate performance monitoring.
  • Existing methods for PV performance testing can be complex or costly.
  • Rapid verification of PV installations is crucial for reliable energy generation.

Purpose of the Study:

  • To design and implement a cost-effective and user-friendly photovoltaic current-voltage (I-V) tracer.
  • To create a system capable of immediate verification of solar panel specifications.
  • To enable prompt detection of potential failures in photovoltaic installations.

Main Methods:

  • Development of an I-V tracer utilizing a capacitive load controlled by a Raspberry Pi 4B.
  • Integration of safety protections, power electronics for capacitor management, and comprehensive sensor arrays (current, voltage, irradiance, temperature).
  • Implementation of custom software with a graphical user interface (GUI) for system control and data visualization.

Main Results:

  • The system successfully measures key photovoltaic parameters including maximum power point (MPP), open-circuit voltage (Voc), and short-circuit current (Isc).
  • Accurate calculation and display of module efficiency are achieved.
  • Results are presented on an integrated LCD touch display for ease of use.

Conclusions:

  • The designed photovoltaic I-V tracer provides a valuable tool for on-site testing of solar installations.
  • The system facilitates immediate performance verification against manufacturer specifications.
  • It offers a practical solution for identifying and diagnosing potential issues in photovoltaic panels.