A Study and Performance Review of an On-Grid PV Solar Plant Using Artificial Intelligence
Prakash Garia, Amit Mittal, Akhilesh Singh, Nagendra Kumar, Sanjay Oli
Abstract
Artificial intelligence (AI) tools are essential for PV solar plant performance and control modeling, analysis, and prediction. In order to address the issue of climate change, renewable energy sources—most notably solar photovoltaics (PV)—must advance quickly. The goal of this study is to examine how grid-connected photovoltaic (PV) systems negatively impact power networks and to assess how well artificial intelligence (AI) and conventional approaches handle power quality problems. This article's goal is to investigate how artificial intelligence (AI) methods affect a particular photovoltaic (PV) value chain. This study will examine both current AI technologies and possible AI uses in the future.