Abstract:
To ensure that there is no interruption in the delivery of electricity in remote areas, renewable energy sources play a key role. The notion of a microgrid that is powered by renewable energy sources, such as photovoltaic and wind power, coupled with maximum power point tracking and a cascaded H bridge multilevel inverter system is presented during the course of this study.
The entirety of the system is connected to the grid. Within the context of a 13-level multilevel inverter topology, a modified design is carried out in which the device operates at a high switching frequency in order to reduce both its size and its losses.
There is a connection between an LCL filter and a STATCOM in order to smooth out the voltage on the grid line. For the purpose of enhancing performance, the multilayer inverter gating signals are driven by an Artificial Neural Network approach.
The purpose of this endeavor is to determine the total harmonic distortion of a modified cascaded H bridge multilevel inverter in order to enhance the power quality of systems that are linked to the grid. Simulink®MATLAB is utilized throughout the entire process of putting the model into action. Analysis, presentation, and comparison are performed on the outcomes of the simulation.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.