Open AccessA Fuzzy Logic Control Method for MPPT to Improve Solar System Efficiency
Author(s) -
Anurag A. Sutar,
M.C. Butale
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a9401.109119
Subject(s) - maximum power point tracking , photovoltaic system , renewable energy , maximum power principle , engineering , solar micro inverter , computer science , automotive engineering , electrical engineering , control theory (sociology) , electronic engineering , voltage , control (management) , inverter , artificial intelligence
Solar energy is act clean as well as renewable source of energy. Hence the use of PV systems has used in many applications. Big-spread use has resulted in decreased solar panel production expenses. But the low effectiveness of a solar panel owing to variables such as solar insulation, clouds and shading impact continues one of the greatest issues. Due to variable concentrations of isolation, the panel output remains variable during cloudy weather. To increase the solar panel's efficiency, the maximum algorithm for power point tracking needed as it was discovered only a small percentage of the energy incident is transformed into electricity. DC-DC Converter (Boost Converter) design helps to increase the panel output, thereby improving effectiveness and output voltage using reasonable control technique. This article discusses the development of the fluctuating MPPT logic control to track the maximum output point and also to compensate for fluctuating power during cloudy weather. The suggested primary circuit block diagram. The simulation study is carried out and the proposed circuit is implemented by hardware. MATLAB Simulink is used for simulating the circuit.