Intelligent Techniques for MPPT Control in Photovoltaic Systems: A Comprehensive Review

Abstract

Photovoltaic (PV) electrical power generation, as one of renewable energy source, is a technique which uses solar energy to produce electric energy. The utilization of such systems is growing because of limited resources and the acute energy crisis. This motivates the research community to investigate these renewable energy sources and maximize their efficiency. This paper presents a literature survey from most recent achievements in maximum power tracking control AI algorithms. Maximum power tracking algorithms are used to match the load resistance to the source input resistance to increase the power delivered from the photovoltaic system. This paper compares between the works done in these algorithms concentrating on the AI algorithms which have proven higher efficiency in this field. The paper also states the most recent contributions in each algorithm. This manuscript should serve as a convenient reference for future work in maximum power tracking control.