The significant expense of PV panel and its change over efficiency are downsides of PV Plants. Due to varying weather conditions the PV energy generation system fails to operate reliably and efficiently. Maximum Power Point Tracker can support yield of PV Panel. Regardless of irradiance condition, temperature and load, these techniques give maximum power. Perturb and Observe (P & O) method is a traditional method which is simple and effective with easy implementation. But this technique fails to operate under dynamic conditions. In this paper the later modifications and add on are discussed which are done to P&O technique to improve its stability, performance and fast convergence. Review shows that Artificial Intelligence with P&O gives promising improvement in Efficiency. Extensive researches have been carried out on modifying and improving the Perturb & Observe method most of them are discussed in this paper with a sight to other electronic parameters.
Archimedes optimization algorithm based maximum power point tracker for wind energy generation system