MODELLING OF LOSSLESS CONTACTLESS POWER TRANSFORMER USING IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

The contactless power transmission is applicable recently for various real time applications like electric vehicle charging, in space travelling, and other distribution systems. The transformer winding has magnetic coupling with each phases; it analyze the primary and secondary winding for core structure of transformer. The conventional Loosely coupled transformer with mixed winding and electromagnetic shielding for contactless power transmission method used various traditional Genetic algorithm and Particle Swarm Optimization algorithms for power loss reduction. This increases the transmission time and it reduces the efficiency. In proposed methodology, the optimal model of contactless power transformer approach uses improved particle swarm optimization algorithm for reducing the power loss in grid connected PV module. The maximum power of solar panel is tracked by using MPPT algorithm and it is fed with the switching controller for reducing the overlap. Here in the IPSO, the frequency dependent scale selection algorithm selects the fitness frequency for optimizing the swarm particle positions to reduce the losses. From this, the impedance matching approach is used for eliminating the frequency scale splitting because it may cause over-coupled signal and the fixed mutual inductance also helps to transfer maximum power. This proposed approach improves the result of power transfer efficiency. Various analytical calculations, numerical simulations and experimental results are taken to address the loss diminution in contactless power transfer approach with better efficiency of power transmission than other existing approaches. Overall the proposed design model is done by MATLAB 2018a/Simulink. Keywords: Contactless power transfer: Frequency dependent; improved particle swarm optimization; optimal frequency scale selection; swarm position updates; PV module; MPPT; Charging station