An Overview on Reinforcement Learning Based Maximum Power Point Tracking Techniques for Solar Photovoltaic Systems

Engineered Science 2026 Open access

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Authors: V. S. Kirthika Devi, S Syama, Seyedali Mirjalili
DOI: 10.30919/es2099
Cited by: 0

Abstract

An essential part of solar photovoltaic (PV) systems is maximum power point tracking (MPPT), which allows for the best possible energy extraction in a variety of environmental circumstances.In dynamic settings, traditional MPPT methods like perturb and observe (P&O) and incremental conductance (INC) frequently fail, especially when there is partial shade or quickly varying irradiance.

Fields of Study & Subjects

Photovoltaic System Optimization Techniques Power Systems and Renewable Energy Advanced DC-DC Converters

Publication details

Journal / source
Engineered Science
Publication date
1 January 2026
Language
EN