Selective harmonic elimination of cascaded H-bridge multilevel inverter using genetic algorithm

Chatterjee, Aniruddho; Rastogi, Adarsh; Rastogi, Rajat; Saini, Ajay; Sahoo, Sarat Kumar

doi:10.1109/ipact.2017.8245005

Cited by 21 publications

(12 citation statements)

References 14 publications

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“…netic Algorithm (GA) is applied on the pulse pattern optimization of five and seven-level inverters. The use of GA is also reported in Zhang et al (2014), Dahidah and Rao (2007), Omara et al (2018), Chatterjee et al (2017), Kumar et al (2017), de Almeida et al (2016 and Bindu et al (2011).…”

Section: Introductionmentioning

confidence: 94%

Pulse Pattern Optimization for Selective Harmonic Elimination in Multilevel Inverters using Genetic Algorithms

Cabral

Salati

Flores

et al. 2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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This paper presents the application of genetic algorithm to determine optimized pulse patterns in multilevel inverters aiming to mitigate harmonics generated at the inverter output voltage while maintaining a desired modulation index. A new real representation based on a relative position approach is applied to the chromosome encoding in order to avoid the existence of infeasible solutions and a systematic diversity control of initial population is proposed based on the euclidean distance between individuals. A local search mechanism combined with an elitist selection is also considered. Fitness value frequency distribution, waveform patterns and its corresponding harmonic components are presented to illustrate the effectiveness of the proposed algorithm.

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Section: Introductionmentioning

confidence: 94%

Pulse Pattern Optimization for Selective Harmonic Elimination in Multilevel Inverters using Genetic Algorithms

Cabral

Salati

Flores

et al. 2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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“…These methods can achieve SHE targets for all values of modulation indices (M i ) for which a solution is available; they can also find an optimal solution for M i which has no solution. Many optimization algorithms are present in the literature, such as genetic algorithm (GA) [19], particle swarm optimization (PSO) [20], bee algorithm [21], whale optimization algorithm [22], teaching-learning-based Optimization (TLBO), and flower pollination algorithm (FPA) [23].…”

Section: Introductionmentioning

confidence: 99%

Three-Phase Multilevel Inverter Using Selective Harmonic Elimination with Marine Predator Algorithm

et al. 2021

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In this paper, the marine predator algorithm (MPA) is proposed for solving transcendental nonlinear equations in a selective harmonic elimination technique using a multilevel inverter (MLI). It proved its suitability and supremacy over the other selective harmonic (SHE) techniques used in recent research as it has good precision, high probability of convergence, and improving quality of output voltage. The optimum values of switching angles from MPA are applied to control a three-phase 11-level MLI using cascaded H-bridge (CHB) topology to control the fundamental component and cancel the low order harmonics for all values of modulation index from 0 to 1. Analytical and simulation results demonstrate the robustness and consistency of the technique through the MATLAB simulation platform. The results obtained from simulation show that the MPA algorithm is more efficient and accurate than other algorithms such as teaching-learning-based optimization (TLBO), flower pollination algorithm (FPA), and hybrid particle swarm optimization with gray wolf optimization (PSOGWO). A prototype for a three-phase seven-level cascaded H-bridge inverter (7L-MLI-CHB) experimental setup is carried out. The output of this experimental test validated and supported the results obtained from the simulation analysis. The model of power loss of three-phase 7L-MLI-CHB using the silicon metal-oxide-semiconductor field-effect transistor (MOSFET) is obtained according to the modulation technique. Conduction and switching losses are calculated based on the experimental manufacturer data from the Si-MOSFET using the thermal model of Piecewise Linear Electrical Circuit Simulation (PLECS). Losses and output power are measured at different modulation index values based on the MPA algorithm. Finally, a design of heatsink volume is presented for this design at different temperatures.

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“…However, this generated power cannot be directly utilized for application in industry because it is very low. To overcome these problems, multilevel inverters are used for high power applications such as electric drives, active filters, frequency link systems, utility interfaces for renewable energy resources, induction motor control, voltage regulation, reactive power compensation, high-voltage system interconnections and variable speed motor drives [1]. Multi-Level Inverters (MLIs) can produce staircase sinusoidal-like output.…”

Section: Introductionmentioning

confidence: 99%

Archimedes Optimization Algorithm Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

et al. 2021

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This paper presents the Archimedes optimization algorithm to eliminate selective harmonics in a cascaded H-bridge (CHB) multilevel inverter (MLI). The foremost objective of the selective harmonic elimination (SHE) is to eliminate lower order harmonics by finding the optimal switching angle combination which minimizes the objective function containing Total Harmonic Distortion (THD) and other specific harmonic terms. Consequently, the THD is also reduced. In this study, a recently proposed metaheuristic technique named the Archimedes optimization algorithm (AOA) is used to determine the optimal angles corresponding to the 5, 7 and 9 level CHB-MLI. AOA involves equations related to a physical law, the Archimedes Principle. It is based on the idea of a buoyant force acting upward on a body or object that is partially or completely submerged in a fluid, and the upward force is related to the weight of the fluid displaced. This optimization technique has been implemented on CHB-MLI to generate various level outputs, simulated on MATLAB™ R2021a version environment software. The simulation results reveal that AOA is a high-performance optimization technique in terms of convergence speed and exploitation-exploration balance and is well-suited to the solution of the SHE problem. Furthermore, the laboratory validated the simulation result on a hardware setup using DSP-TMS320F28379D.

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Selective harmonic elimination of cascaded H-bridge multilevel inverter using genetic algorithm

Cited by 21 publications

References 14 publications

Pulse Pattern Optimization for Selective Harmonic Elimination in Multilevel Inverters using Genetic Algorithms

Pulse Pattern Optimization for Selective Harmonic Elimination in Multilevel Inverters using Genetic Algorithms

Three-Phase Multilevel Inverter Using Selective Harmonic Elimination with Marine Predator Algorithm

Archimedes Optimization Algorithm Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

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