A comprehensive review on application of ai algorithms for GRID connected solar photovoltaic systems

Abstract

The preponderance significant renewable energy is solar energy and corporations and governments are investing more in it every year. The most significant issues with PV systems are resolved with Artificial Intelligence (AI). Due to increased processing power, tools, and data collection, artificial intelligence (AI) is becoming more and more prevalent in diverse photovoltaic (PV) system applications. It has been discovered that the methodologies now in use for designing, forecasting, control and maintenance aspects for the solar Photovoltaic business provide findings that are somewhat erroneous. Additionally, applying AI to complete these activities has increased in accuracy and precision and is currently a very intriguing issue. Similar to this, proportional-integral-derivative controllers have unparalleled acceptance and reputation in control systems. PID tuning is still an important area of study, due to its simple structures, robustness to model errors, and easy operations, PID controllers are widely employed in engineering practices. In this context, this paper aims to review the accord among artificial intelligence (AI) applications for photovoltaic (PV) systems and Tunning of PID controllers. This Review paper analyses the appropriate application of AI for designing, maintenance and control of Grid-connected solar Photovoltaic systems as well as advanced control strategies and control algorithms for Tuning PID controller.