Open AccessA Comparative analysis of Maximum Power Point Tracking Techniques for Battery Operated PV Systems at Different Temperatures
Author(s) -
Pankaj Sahu,
Ashish Kumar Sharma,
Rajiv Dey
Publication year - 2020
Publication title -
american journal of science and engineering
Language(s) - English
Resource type - Journals
eISSN - 2687-9581
pISSN - 2687-9530
DOI - 10.15864/ajse.1404
Subject(s) - maximum power point tracking , photovoltaic system , maximum power principle , control theory (sociology) , ripple , battery (electricity) , power (physics) , tracking (education) , computer science , control (management) , engineering , physics , electrical engineering , psychology , pedagogy , inverter , artificial intelligence , quantum mechanics
This paper presents a comparative analysis of Ripple Correlation Control (RCC) with conventional Maximum Power Point Tracking (MPPT) methods such as Perturb & Observe (P&O) and Incremental Conductance (IC). Photovoltaic (PV) array along with the buck converter and its MPPT control have been simulated for all three MPPT methods at different solar radiation levels at 25°C and 70°C and results have been compared. From the simulation results, it can be observed that P&O is much affected with slow tracking and oscillations, and IC MPPT performs better than P&O in terms of tracking, but not for ripples. Simulation results verifies that RCC MPPT is capable of solving both these problems effectively and RCC performance is better than both P&O and IC MPPT methods.