Abstract:
Increased energy requirements demands photovoltaic systems to be linked into the grid so as
to contribute to the overall power generation. Maximum Power Point Tracking (MPPT) is a
technique used by variable power source for extracting maximum power. For tracking maxi mum power one of the most trustworthy technique is Incremental conductance (INC) MPPT
method. However conventional INC algorithm is unable to track maximum power with altering
step size. So a novel Incremental Conductance approach using a Fuzzy Logic controller (FLC)
is implemented in which a fuzzy logic algorithm is used to vary the step size. The fuzzy logic
system is developed by location of fuzzy inputs regarding different regions. The fuzzy inputs
are obtained from the slope of power voltage relation. Using the current voltage ratio and its
derivatives membership functions and rules are designed. A solar PV system is implemented
using the INC and FLC methods and is simulated in Matlab. The simulation findings show
that using the FLC approach increases the system’s ability to respond to dynamic changes by
boosting its dc output power and cutting down on the time it takes to reach the steady state when
compared to the conventional INC method.
We use a solar-powered induction cooker to reduce the issue with utility during peak hours.
Due to its high efficiency and gentle switching capabilities, a Full bridge resonant converter is
developed to satisfy the need. Full bridge series resonant circuit is used for the heating purpose
where the circulating magnetic fields induces an eddy current which induces heating. The Mat lab or simulink platform is used to simulate the developed FLC method in conjunction with the
full bridge resonant converter. The outcomes shows that the system is more effective in terms
of output power
