Abstract
This paper used an artificial jellyfish search (AJFS) optimizer suitable for selective harmonic elimination-based modulation for multilevel inverter (MLI) voltage control application. The main objective was to remove the undesired lower-order harmonics in the output voltage waveform of an MLI. This algorithm was motivated by the behavior of jellyfish in the ocean. Jellyfish have the ability to find the global best position where a large quantity of nutritious food is available. The paper applied AJFS algorithm on five, seven, and nine levels of CHB-MLI. The optimum switching angle was calculated for the entire modulation range for the desired lower-order harmonics elimination. The problem formulated to achieve the objective was solved in a MATLAB environment. The total harmonic distortion (THD) values of five-, seven-, and nine-level inverters for various modulation indexes were computed using AJFS and compared with the powerful differential evolution (DE) algorithm. The comparison of THD results clearly demonstrated superior THD in the output of CHB-MLI of the AJFS algorithm over DE and GA algorithm for low and medium values of modulation index. The experimental results further validated the better performance of the AJFS algorithm.
Highlights
The breakneck growth of industry and advancement in technology leads to extensive utilization of renewable energy
It has led to a phenomenal development in power electronics converter topology, especially the multilevel inverters (MLI)
The main reason behind the popularity of MLI is that, as compared to the traditional converter, the MLI provides high efficiency, very high power quality, and has the ability to be used in high-voltage operations
Summary
The breakneck growth of industry and advancement in technology leads to extensive utilization of renewable energy. The calculation of optimized switching angle using the polynomial equation in AMs [2] utilizes Groebner bases and resultant theory These methods are independent of initial guesses, they are not used in real time and in cascade MLI because they have high complexity due to large calculations. In [14,15,16,17], the particle swarm optimization (PSO) algorithm is suggested, in which a lower number of active switches are used in MLI It requires less driver circuit for calculating the best solution. In [19], the modified particle swarm optimization (MPSO) algorithm is used for harmonic reduction in three-phase hybrid cascaded multilevel inverter This algorithm takes a large amount of time for computing results due to its high complexity. The goal is to eliminate fifth and seventh harmonics and to acquire the desired fundamental voltage
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