Particle swarm optimization technique for multilevel inverters in solar harvesting micro grid system
In on grid solar generation system the irradiance causes voltage mismatch as a result of this the nonlinearities increase in the output voltage of the multilevel inverter. The sunlight is not uniform at all places, variation in irradiance is inevitable when it comes to solar power. The Solar power is not similarly circulated there is a change in sun orientation with respect to geometrical positions. The un symmetrical voltage results in unbalancing and introduces more harmonics. The article proposed here analyses a topology where a DC-DC converter is utilized ahead of the multilevel inverter so as to overcome the voltage varieties, thereby reducing the harmonics in the system. Particle swarm optimization is carried out in minimizing the Harmonics. Different observation and studies working stages their simulations and results for both are studied and recorded. Since solar energy is an essential, a complete analysis of this is done. A variety of initial calculations in designing the converter are also carried out. Similar calculations are also carried out informing the solar panel and harvesting the energy. By facilitating MATLAB simulation of particle swarm optimization for firing angles employed in multilevel inverter along with the converter. The measure of total harmonic distortion THD obtained is taken as a measure of evaluation for the performance of this combined system.
Microprocessors and Microsystems
Multilevel inverter,Particle swarm optimization,Solar generation,MATLAB-matrix laboratory,Total harmonic distortion