Selective Harmonics Elimination Technique using Particle Swarm Optimization algorithms in Multilevel H_5 Inverter Topology
Keywords:
Cascaded multilevel inverter, selective harmonics elimination techniquesAbstract
In a multilevel inverter, switching angles at fundamental frequency are obtained by solving selective harmonic elimination equations with Fourier analysis to obtain the desired fundamental voltage and eliminating certain lower order harmonics and high order harmonics with high pass filters. Since these equations are nonlinear transcendental, iterative numerical methods can solve them. In selective harmonic elimination methods, the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms have been advised for solving nonlinear algebraic trigonometric equations. Most of these techniques manipulate parameters that must be modified while maximizing fitness functions. These three fitness functions for regulating total harmonic distortion (THD) in multilevel inverters are studied. The study designed and implemented a new topology for a single-phase five-level cascaded H-bridge multilevel inverter using five switches and two DC power sources. This work aims to improve levels with few switches and sources at the output without complicating the power circuit. Lower total harmonic distortion, electromagnetic interference, and high output voltage are the new topology's key benefits. This study calculates the firing angle of switches in a single-phase five-level cascaded H-bridge multilevel inverter architecture using PSO optimization techniques to reduce lower order harmonics by raising level and employing fewer switches. The single-phase five-level cascaded H-bridge multilevel inverter architecture uses IRF 840 mosfets and STM32F407VG microcontroller. The research analyzes lower-order harmonics and THD profiles for each fitness function's modulation index. Analysis of total harmonic distortion patterns determines the best firing angle for simulation and experimentation.
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