Classification and Evaluation Review of Maximum Power Point Tracking Methods
Photovoltaic (PV) systems have witnessed a rapid increment, the yield mainly relies on the working condition. In most cases, it is hard to obtain the optimal yield. Therefore, Maximum Power Point Tracking (MPPT) controllers witness much attention as an important optimization field of PV systems. These controllers employ different algorithms and they vary in their efficiency, performance, modernity, complexity, and tracking speed. MPPT controllers have witnessed a rapid improvement, they can be
... enerally classified as conventional and advanced methods. Conventional methods are relatively simple but they can't distinguish between the local and global peaks if partial shading occurs, therefore, their efficiency is relatively low. Advanced tracking methods are widely used due to their superior efficiency. Due to the limitation of the singular conventional and advanced methods, hybrid methods find their way to solve these limitations. Selecting the finest MPPT method is still an open issue, this issue can be solved by implementing a survey of the applied methods. This study gives a concise classification and evaluation review of all the applied MPPT methods. This study also provides an accessible reference to undertake mass research works in MPPT in the near future. (A.O. Baba). MPPT algorithm usually has fast speed and less oscillation about the PPP and follow the rapid change in output power. There are large numbers of the applied MPPT control techniques available to date  . These controllers either applied to track the MPP under uniform irradiance for a unique MPP or applied to track a PV system with multiple maximum power points (MMPP). MPP of any PV system should be unique which does not require a complex algorithm to track it. In most cases, some abnormal phenomena can occur. Partial shading (PS) is one of the most effective factors that sterically effects the power that can be extracted from any PV system  . PS is one of the most causes of multi-peak points that generates multi-maximum peak powerpoint (MMPPP)    and global maximum power point (GMPP)  . Under PS the efficiency of traditional MPPT algorithms is low  . In literature, there are several classifications have been proposed to index MPPT controllers. Generally, MPPT classified as conventional methods and advanced (soft computing) methods [ 20 , 21 ]. Conventional MPPT methods were proposed a long time ago; thus, they are very popular. The main advantages of these are simplicity and easy implementation. These methods are only able to track the single MPP under uniform irradiance  . Advanced MPPT methods are known as soft computing, Bio-inspired (BI) or artificial intelligence methods (AI) [ 23 , 24 ]. These methods are relatively complex and have superior tracking performance over the conventional methods.