In the era of Renewable Energy, Solar power is considered as one among the prominent and emerging energy source. But the output of a solar PV varies drastically due to varying atmospheric conditions like temperature and solar insolation. The Maximum Power Point Tracking (MPPT) method is an inevitable part which must be present for the efficient utilization of solar energy tapped using solar PV units. The conventional methods fail to trail the maximum available power efficiently and economically, and can even fail during partial shading conditions. This paper proposes an advanced hybrid algorithm that blends the advantages of both Fractional Open-Circuit Voltage (FOCV) MPPT and Perturb and Observe (P&O) algorithm, thereby overcoming their inherited flaws. To validate the proposed algorithm's potency, the technique is simulated using Simulink environment on MATLAB and simulation results show a clear improvement in achieving the MPPT under varying atmospheric conditions.
K. M. M. and Bharath K. R., “A Novel Sensorless Hybrid MPPT Method Based on FOCV Measurement and P O MPPT Technique for Solar PV Applications”, in 2019 International Conference on Advances in Computing and Communication Engineering (ICACCE), Sathyamangalam, Tamil Nadu, India, 2019.