Incremental conductance MPPT algorithm implementation in a photovoltaic system using CUK converter for battery charging

In today’s power scenario, the increasing power demand is a prevailing concern. The electrical power generated by non-renewable energy sources falls short in meeting this escalating demand. Utilizing renewable sources in conjunction with non-renewable energy becomes imperative. Among various renewab...

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Hauptverfasser: Jadhav, Sachin P., Chavan, Shankar D., Kanase, Digvijay B., Kumar, Pankaj, Bhokare, Rajashree
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:In today’s power scenario, the increasing power demand is a prevailing concern. The electrical power generated by non-renewable energy sources falls short in meeting this escalating demand. Utilizing renewable sources in conjunction with non-renewable energy becomes imperative. Among various renewable energy sources like wind, tidal, biomass, and solar, the latter is especially advantageous due to its widespread availability and environmentally friendly nature. However, the power generated by solar cells is influenced by atmospheric conditions, and its delivery hinges on connected loads. Achieving maximum solar cell power output is challenging due to atmospheric variations, necessitating the use of various Maximum Power Point Tracking (MPPT) methods. This paper introduces the application of the Incremental Conductance (INC) method for MPPT, which, in comparison to the Perturb and Observe (P & O) method, is better suited for tackling oscillations arising from diverse atmospheric conditions. The selection of a DC-DC CUK converter holds significance for maximizing power, offering low ripple levels at both input and output stages. The paper comprehensively covers converter design, simulation outcomes for a battery-connected standalone PV system employing the INC MPPT method
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0216078