A Comprehensive Review Based on Conventional and Artificial Intelligence Strategies for MPPT-Based Solar PV System
摘要
Non-conventional energy sources (NCES) are the ideal alternative for generating clean and sustainable energy in this modern era due to its inherent ability. Solar energy is one of the best choices among this family for delivering power and energy demand to the civilization. Maximum power point tracking (MPPT) is a system to extract maximum power from a PV module and deliver it to the load for increasing system efficiency. In this paper, an exhaustive overview of artificial intelligence (AI)-based MPPT system is encapsulated and scrutinized. A special type of solar PV module from Hyundai has been introduced to understand solar PV module equivalent circuit. Comparison among various MPPT controllers along with different soft computing hybrid technique and their performance also elaborated under copious shading pattern. Notably advantages along with drawbacks of different MPPT methods are compared and studied. Practicable future work regarding MPPT is also framed. Lastly authors tried to emphasize upon MPPT algorithms considering partial shading problem as choosing an efficient technique demands new considerations so as to make confident that they are well organized and show best results in typical environmental conditions.