Open AccessMaximum Power Point Tracking Using Indirect Adaptive Control Algorithm and Comparison with Other MPPT Technique
Author(s) -
Piyush Bagade
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37501
Subject(s) - maximum power point tracking , photovoltaic system , maximum power principle , computer science , power (physics) , renewable energy , control theory (sociology) , solar irradiance , power optimizer , voltage , engineering , electrical engineering , control (management) , physics , meteorology , inverter , artificial intelligence , quantum mechanics
Solar photovoltaic (PV) systems, which generate electricity regarded to be a renewable energy source, have great potential. Compared with the traditional power resources, they develop increasingly swiftly. However, the issue is that the environment varies depending upon on generation of Solar panels. The fundamental problem with a PV system is that, according to varied conditions (i.e., irradiance, ambient temperature, etc.), the quantity of energy that photovoltaic systems generate varies. The continued monitoring of the maximum power point (MPP) is needed to maximize the output of a PV system. In this paper, the maximum power point tracking technique (MPPTS) for a photovoltaic system to retrieve the maximum power from the solar arrays in adverse conditions, including changes in irradiation and temperature on the Voltage-current and Voltage-power characteristics of the photovoltaic array modulus is proposed. An indirect adaptive control technique and evaluated with various maximum power point tracking techniques is also stated. Keywords: photovoltaic, maximum power point, maximum power point tracking, indirect adaptive control.