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This paper presents a new idea to solve the selective harmonic elimination (SHE) equations with non equal dc sources using Hybrid Newton Raphson Method (HNRM). This technique is a combination of genetic algorithm (GA) and Newton Raphson Method (NRM). The HNRM technique effectively eliminates the lower order harmonics from the output voltage of the converter. In this paper, it has been also shown that,...
A multilevel Power converter structure is based on the concept of High power and medium voltage situations. Its concept is to use a series of power and medium voltage situations. Its concept is to use a series of power semiconductor switches with several layer voltage dc sources to perform the power conversion by synthesizing a staircase voltage waveform. Multilevel converter operates both in inverter...
In this paper, a comparative study of different harmonic elimination techniques has been adopted to mitigate the undesired dominant lower order harmonics from the output voltage of cascaded multilevel inverter. It has been shown that particle swarm optimization technique gives better result as compared to the mathematical theory of resultant and newton raphson method. Theoretical results are verified...
The important features of modular multilevel inverters(MMLIs) are lower power dissipations in the switches, low harmonic contents, modularity and outputs with lower electromagnetic interference (EMI). The MMLI discussed is based on the half-bridge topology. A comparative study of two level VSI and 3, 5 level MMLI is discussed in the context of their total harmonic distortion in simulink models.
Multidimensional scaling is a technique for exploratory analysis of multidimensional data, whose essential part is optimization of a function possessing many adverse properties including multi objectivities, multimodality, and non differentiability etc.,. In this paper, global optimization algorithms for multi Objective problems are chosen for different kind of problems especially in the power Industry...
Multidimensional scaling is a technique for exploratory analysis of multidimensional data, whose essential part is optimization of a function possessing many adverse properties including multi objectivities, multimodality, and non differentiability etc. In this paper, a new algorithm “Minority Charge Carrier Inspired Algorithm” has been proposed. Attempts have been made to carry out detailed analysis...
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