Evolutionary Computing Based Multilevel H-bridge Cascaded Inverter with Photovoltaic System

In recent years, the increase of energy demand and the problems of fossil-fuel sources due to their environmental pollution and future shortages, have led to the development of technologies need to use non-polluting alternative energy sources such as solar and wind sources. Growing demand, advancements in semiconductor technology and magnetic materials such as high frequency inductor cores, has a significant impact on PV inverter topologies and their efficiencies, on the improvement of the control circuits on the potential of costs reduction. The user naturally wants to operate the Photovoltaic (PV) array at its highest energy conversion output by continuously utilizing the maximum available solar power of the array. The electrical system PV modules are powered by solar arrays requires special design considerations due to varying nature of the solar power generated resulting from unpredictable and sudden changes in weather conditions which change the solar irradiation level as well as the cell operating temperature. This work proposes on Evolutionary computing Based Multilevel H-Bridge Cascaded Inverter for Photovoltaic System with simple PWM Technique, to have the advantages of low frequency switching and reduced total harmonic distortion (THD).