Design and analysis of trans Z-source inverter for electric vehicle applications using neural network-clustering

The presented paper analyzes the detailed design of a trans Z-source inverter (ZSI) with an input from solar photovoltaic (SPV) system. Increase in SPV uses requires highly efficient enabled inverters under varying weather parameters are high demand modern smart grid applications. SPV-trans ZSI has conversion efficiency because single-stage voltage boost capability. In contradiction, conventional source (VSI) additional step-up transformer to output inverter. This reduces by increasing volume set up and also increase cost proposed system it provides better against VSI. is shoot through time period present ZSI. It stress harmonics content as compared model been validated MATLAB simulation.