A Novel Global Maximum Power Point Tracking Method For Pv System Using Jaya Algorithm

This paper develops a Jaya-based maximum power point tracking (MPPT) method for photovoltaic (PV) arrays working under variable partial shading conditions. In practice, the Jaya is deployed in the inverter to obtain the optimal voltage setting for MPPT through an efficient iterative interaction with the PV system. A simulation study is conducted to validate the effectiveness of the proposed method in tracking the global maximum power point (GMPP) of PV arrays exposed to various partial shading patterns. The performance of the proposed method is benchmarked with PSO which is the most frequently utilized optimization algorithm for PV MPPT. Simulation results illustrate that the proposed method requires less iterations to converge to the GMPP and shows higher dynamical tracking efficiency than PSO methods.