P&O and Incremental Conductance MPP Tracking for Solar PV Array: A Comparative Ideal Data and Real-Time Study
Sunita Chahar and Abdul Razzaq
In this research, the MATLAB/Simulink environment is used to show comparison between the circuitry modelling of the solar photovoltaic MPPT lead-acid battery charge controller for the freestanding system using two different algorithms which are Perturb and Observe Algorithm and Incremental conductance algorithm. The implementation of the charge controller makes use of a buck topology for the DC-DC converter component. Both of these algorithms, which have been given the names Incremental Conductance (InC) MPPT and Perturb and Observe (P&O) MPPT, are in charge of ensuring that the solar panel is producing its maximum amount of electricity. A three-step charging process is utilised by the battery charge controller throughout the process of charging the lead-acid battery. It is never simple to extract the greatest amount of electricity that may be generated by solar photovoltaic (SPV) systems when you are dealing with these kinds of systems. In this article, a straightforward architecture of a solar MPPT charge controller has been established by employing two distinct methods: the Incremental Conductance Algorithm (InC MPP) and the Perturbation & observation (P&O MPP) Technique. These are the two approaches that were used in the simulation carried out in Matlab. The comparison is made between real-time overcast weather data from a certain day at the position 25.2138° N, 75.8648° E and modelling in Matlab/Simulink, which makes it simpler to construct and simulate MPPT algorithms. It also provides a user-friendly environment with modular visual simulation that is easily adaptable to the system. Because of this, selecting a suitable method for solar PV MPPT charge controller systems in order to get the maximum feasible power production is made much easier.
Keywords: Solar MPPT charge controller, InC MPPT, P&O MPPT, MPP Tracking, Solar Photovoltaic Algorithm