Open AccessRecent Nature Inspired Techniques for Solar Power Point Tracking Application
Author(s) -
Dr.Shaik Rafi Kiran,
Gurijala Hanumantha Reddy
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4768.119119
Subject(s) - maximum power point tracking , maximum power principle , photovoltaic system , computer science , power (physics) , point (geometry) , settling time , control theory (sociology) , tracking (education) , convergence (economics) , maximum power transfer theorem , electronic engineering , engineering , control engineering , mathematics , step response , electrical engineering , artificial intelligence , physics , psychology , pedagogy , geometry , control (management) , quantum mechanics , inverter , economic growth , economics
Photovoltaic (PV) array generates non-linear I-V and P-V characteristics. As a result, it is difficult to transfer the maximum power from source to load. The Maximum Power Point Tracking (MPPT) is used to track the Maximum Power Point (MPP) and extract the maximum power of solar PV. The disadvantages of conventional MPPT techniques are less MPP tracking speed, high MPP settling time and less accuracy. In order to overcome the disadvantages of conventional techniques, in this article different types of recent nature inspired optimization techniques are reviewed to track the MPP. In addition, the application of optimization technique based Maximum Power Point Tracking (MPPT) technique for standalone and grid connected application is explained in detail. The advantages of optimization techniques are highly reliable, better accuracy, less time to convergence and fast response.