Intelligent maximum power point tracking for photovoltaic system using meta-heuristic optimization algorithms: A holistic review

It is difficult for a photovoltaic system to execute at maximum power since ambient temperature and solar irradiation are not constant. The performance of a photovoltaic (PV) array is nonlinear. since the features of a solar array under partial shading (PS) includes various local maximum power point (MPPs) and one global. Hereafter, it's a difficult task to follow the global maximum power point (GMPP) under partial shading conditions (PSC). To reach an optimal point should use MPPT (maximum power point tracking) controller as well as, to overcome all these issues researchers proposed different methods to capture Globel peak (GP) these strategies are classified as follows: traditional strategy; intelligent methods and hybrid, Each algorithm has advantages and disadvantages. This paper presents significant work classifying MPPT controller methods. It summarizes many MPPT techniques and their operating principles, mathematical representations, and comparison between them. Furthermore, the tables in this paper provide excellent information on the critical aspects of algorithms.