Hybrid PSO-Incremental Conductance MPPT for Induction Motor based Solar Water Pumping System under Partial Shading Conditions

Abstract

The solar water pumping systems (SWPS) is useful in remote or village areas where there is no electricity. In India, SWPS are revolutionizing agriculture by giving farmers access to power for everything, from harvesting crops to pumping water. As the government is working to make solar pumping systems affordable for the agricultural sector, induction motors (IM) are found to be the most appropriate motor type for this application because of its low cost, durability and ruggedness. In this work, the SWPS is powered by an inverter driven three-phase IM with V/f control technique. Various MPPT techniques have been proposed to track maximum power from PV system under partial shading condition. This paper mainly focuses on a hybrid Particle Swarm Optimization-Incremental Conductance (PSO-INC) algorithm to capture the peak power efficiently when IM based SWPS is subjected to partial shading. The results are compared with PSO algorithm, a hybrid PSO-PO method and a modified 0.8 Voc approach. The MATLAB/Simulink environment is used to simulate and test these algorithms on the SWPS system with partial shading. The motor's performance in terms of torque ripple and speed settling time is analyzed