A Novel Hybrid MPPT Technique for PSC using Weighted Average Approach

This paper presents a Novel Hybrid Maximum Power Point extraction algorithm for Solar Photovoltaic Systems under practical environmental conditions. Two Maximum Power Point Tracking algorithms, Perturb & Observe and Incremental Conductance are used to obtain Maximum Power Tracking. These algorithms are combined using actuator scheduling theory. The proposed hybridization technique utilizes the theory of the Fibonacci series and the Golden ratio. The proposed algorithm performs better in Partial Shading Conditions and other environmental disturbances than conventional Maximum Power Point Tracking algorithms. The simulation results are included to verify the performance of the algorithm.