Fault Diagnosis of Data-Driven Photovoltaic Power Generation System Based on Deep Reinforcement Learning

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Fault ID</td><td class="align_center">Fault type</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">Photovoltaic panel aging</td></tr><tr><td class="align_left">2</td><td class="align_center">Photovoltaic panel shielding and dust coverage</td></tr><tr><td class="align_left">3</td><td class="align_center">Inverter open circuit</td></tr><tr><td class="align_left">4</td><td class="align_center">Inverter short circuit</td></tr><tr><td class="align_left">5</td><td class="align_center">Inverter DC protection</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Common fault types of the photovoltaic power generation system.</div>

Mathematical Problems in Engineering

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Table 2

Table 2: Fault Diagnosis of Data-Driven Photovoltaic Power Generation System Based on Deep Reinforcement Learning 