Abstract
In the present paper, adaptive fuzzy maximum power point tracking is employed as a means to generate the corresponding gating signals of an interleaved soft-switching boost converter (ISSBC) connected to a photovoltaic system. It is common knowledge that the output characteristics of a photovoltaic cell are nonlinear and its output power fluctuates largely with variations in radiation and temperature; thus, effectively its efficiency is very low, i.e., below 50%. The efficiency is improved by using ISSBC, and simultaneously, losses due to switching are minimized by the adoption of a resonant (soft) switching technique. The next concern lies with this being a tracking MPP, which has been efficiently achieved by incorporating adaptive fuzzy MPPT which is better as compared to the published articles. The proposed MPPT increases the system efficiency as well as drastically reduces the cost of fabrication. A 1.2 kW prototype of the above-defined model is considered for analysis. Determination of the viability of each mode of operation of the aforementioned photovoltaic power generation system is assessed meticulously in the MATLAB 2017 software. In addition to simulation, digital simulation in real time (Opal-RT) is performed in the laboratory to measure the accuracy and potentiality of the respective model verifying the results.
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