|
Vivek Bhojak
Praveen K. Jain
Keywords:
Fuzzy rationale regulator; maximum power point tracking (MPPT); dc-dc converter; photovoltaic system, Fuzzy Inference System.
Abstract:
The output power of a photovoltaic (PV) module relies upon the solar irradiance and the operating atmospheric temperature; hence, it is important to execute maximum power point tracking regulators (MPPT) to acquire the maximum power for the PV system.The customary conventional technique for MPPT regulators is the perturb and observe (P&O) based calculation. The perturb and observe and incremental conductance method suffers from serious drawbacks of oscillatory response and early convergence on first peak of PV and IV characteristics where ever the case of multiple peak is present. India is working hard to use renewable energy to generate 175 GW (GW) by 2022, with solar energy predominant, with a target of 100GW, followed by wind power. India has 450,000 KW of hydropower, has an installed wind power capacity of 230,000 KW, but has almost no great level for renewable power. Solar energy represents a large proportion of the government's expansion strategy. Photovoltaic energy must be converted from DC to AC to supply the grid or AC load. When using an IGBT inverter, the applied DC voltage on the DC link is converted to a single-phase AC voltage.. In this research, a diode based circuit model of solar photovoltaic system has been developed under MATLAB. . The simulation work is exhibited on matlab exhibited the prevalence of the fuzzy regulator regarding settling time, power loses and stable output at the maximum power point. The given research utilizes the application of fuzzy logic based maximum power point method for detection and operation of PV module system at maximum power point.
|
|
International Journal of Recent Research and Review
ISSN: 2277-8322
Vol. XVI, Issue 4
December 2023
|
PDF View
PUBLISHED
December 2023
ISSUE
Vol. XVI, Issue 4
SECTION
Articles
|
