Extensive performance investigation of Luo converter‐based modified firefly maximum point tracking algorithm for permanent magnet synchronous motor‐driven photovoltaic pumping system

This research paper deals the practical performance analysis of Permanent Magnet Synchronous Motor (PMSM) drives‐based photovoltaic (PV) pumping applications. A modified firefly algorithm (MFA) based maximum power point tracker (MPPT) with Luo converter is employed. In this research work, equated to classical Firefly algorithm, the degree of attractiveness (α) has been updated in each iteration number with rejection of coefficients of absorption (β) as well as random movement factor (γ) to achieve faster PV tracked efficiency with rapid convergence velocity. Vector‐oriented inverter control strategy depending on solar irradiance has been used for controlling the rate of converter/water flow. The proposed standalone PV pumping system has been tested under highly weather fluctuating conditions which provide efficient, accurate and feasible option for water pumping in remote areas. Experimental results have been justified using dSPACE (DS1104) practical environment.