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genetic algorithm and newton robson by using matlab

This paper presents a novel two-phase

hybrid optimization algorithm called Real Coded Genetic

Algorithm Initialized Newton Raphson (GAIN) method for

solving the transcendental nonlinear equations

characterizing harmonics in multilevel converters. The

proposed hybrid Real GAIN method is developed in such a

way that Real Coded Genetic Algorithm (RCGA) is the

primary optimizer exploiting its global search capabilities

by directing the search towards the optimal region, and

Newton Raphson method is then employed as a local

search method to fine tune the best solution provided by

RCGA in each evolution. The proposed method is

implemented for the offline computation of the optimum

switching angles in an 11-level inverter so that the required

fundamental voltage is produced while the low order

harmonics specifically the 5th, 7th, 11th and 13th harmonics

which are more harmful and more difficult to remove with

filters are eliminated. Computational and MATLAB

simulation results clearly demonstrate the effectiveness and

high spectral performance of the proposed algorithm

Compétences : Algorithme, Génie Électrique, Ingénierie, Mathématiques, Matlab and Mathematica

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Concernant l'employeur :
( 1 commentaire ) Kuala Lumpur, Malaysia

Nº du projet : #15802971

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