A comprehensive review on the application of recently introduced optimization techniques obtaining maximum power in the solar PV System

PVs (photo Voltaics) are the leading player in distributed power systems. Despite all the developments and evolution, the affordability of the solar system is still challenging. The issue of its economy has led to the development of Maximum PowerPoint Tracking (MPPT). The role of maximum power extraction under partial shading is a crucial feature of energy harvesting. This paper has reviewed various conventional, soft computing, and hybrid techniques for MPPT under partial shading conditions. It is observed that conventional methods fail to extract maximum power under partial shading conditions due to multiple peaks. Therefore, different soft computing, hybrid techniques, algorithms and modern PV topologies are discussed to track global maxima from multiple local maxima. The strengths and weaknesses of various methods' tracking speed, transient and steady-state oscillation, cost, computational complexity, etc., are taken as independent quantities and various MPPT techniques as dependent quantity to prepare a user-friendly table. Also, three different meta-heuristic algorithms (Cuckoo Search, JAYA and PSO) performance have been compared for the PSC based on tracking time and efficiency by using a Hardware-in-the-loop (HIL) simulation platform.