AI-Driven Solar MPPT Tracker: A Power Etx Digital Twin

An interactive MATLAB App designed to demonstrate real-world DC-DC Boost Chopper applications in renewable energy.

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Description: > This application serves as a comprehensive educational tool for studying the non-linear characteristics of Solar PV systems. It features a dynamic simulation engine that models the Negative Temperature Coefficient of solar cells and demonstrates the transition between Continuous (CCM) and Discontinuous (DCM) conduction modes.
Key Engineering Lessons:* Irradiance Impact: Visualize how solar current scales directly with light intensity. * Thermal Shift: Observe the "Aha!" moment where heat reduces voltage capacity, forcing the MPPT logic to increase the Duty Cycle $(\delta)$. * System Efficiency: Understand the mathematical relationship V{bat} = V{pv} / (1 - delta) through real-time gauges. * Heuristic AI: An intelligent "Efficiency Lamp" provides instant status reporting on system performance.

Citation pour cette source

Nitin Phadkule (2026). AI-Driven Solar MPPT Tracker: A Power Etx Digital Twin (https://fr.mathworks.com/matlabcentral/fileexchange/183858-ai-driven-solar-mppt-tracker-a-power-etx-digital-twin), MATLAB Central File Exchange. Extrait(e) le .

Informations générales

Compatibilité avec les versions de MATLAB

  • Compatible avec les versions R2014b et ultérieures

Plateformes compatibles

  • Windows
  • macOS
  • Linux
Version Publié le Notes de version Action
1.0