Abstract: Multilevel Inverters (MLI) play an important role in medium / high voltage and high power applications due to its capability to convert DC input voltage to AC output voltage with reduced Total Harmonics Distortion (THD) and low Electromagnetic Interference (EMI). Multilevel inverters generate sinusoidal voltages from discrete voltage levels, and Pulse Width Modulation (PWM) strategies accomplish this task of generating sinusoids of variable voltage and frequency. Modulation methods for Hybrid Multilevel Inverter can be classified according to the switching frequency methods. Many different PWM methods have been developed to achieve the following: Wide linear modulation range, less switching loss, reduced Total Harmonic Distortion (THD) in the spectrum of switching waveform Differential Evolution (DE) algorithm is a new heuristic approach mainly having three advantages; finding the true global minimum regardless of the initial parameter values, fast convergence, and using few control parameters. DE algorithm is a population based algorithm like genetic algorithms using similar operators; crossover, mutation and selection. In this work, we have compared the performance of DE algorithm to that of some other well-known versions of genetic algorithms. The three-dimensional space vector modulation schemes are supersets of, and thus are compatible with, conventional two-dimensional space vector modulation schemes. An LC Filter is used to eliminate the output voltage harmonics. A conventional Proportional Integral (PI) controller is used to control the output load voltage.
Keywords: Genetic Algorithm, Differential Evolution, Multilevel Inverter
| DOI: 10.17148/IJIREEICE.2019.7201