Comprehensive harmonic optimization in cascaded h-bridge multilevel inverters using variable DC sources

Khamooshi, Reza; Moghani, Javad Shokrollahi

doi:10.1109/pedstc.2014.6799380

Cited by 4 publications

(3 citation statements)

References 11 publications

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“…ant colony [77], water flow, and an ensemble of musicians [78]. Some illustrations of the metaheuristic techniques in addition to genetic algorithm (GA) [79,80], harmony search (HS) [81], firefly algorithm (FA) [82], Tabu search (TS) [83], artificial bee colony (ABC) [84], teaching-learning-based optimization (TLBO) [85], particle swarm optimization (PSO) [86], bat algorithm (BA) [87], cuckoo search (CS) [79], and many others. To characterize metaheuristic algorithms, taxonomies founded on specific features of algorithms are created [88], Nature-inspired vs. non-nature-provoked objective functions, population-based vs. trajectory-based objective functions, and dynamic vs. static objective functions are only a few examples.…”

Section: Optimization Techniques and Methodsmentioning

confidence: 99%

Literature review of bridge structure's optimization and it's development over time

Zaheer

Tan

Qamar

2022

Int. J. Simul. Multidisci. Des. Optim.

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The structural development in bridge engineering along with efficiency have got much attention in few decades. Leading to the development, Optimization of structure established on mathematical analysis emerged mostly employed strategies for productive and sustainable design in the bridge engineering. Despite the widespread knowledge, there has yet to be a rigorous examination of recent structural optimization exploration development. Thus, the primary objectives of this paper are to critically review previous structural optimization research, provide a detailed examination of optimization goals and outline recent research field limitations and provide guidelines for future research proposal in the field of bridge engineering structural optimization. This article begins by outlining the relevance of efficiency and sustainability in the bridge construction, as well as the work done required for this review. Suitable papers are gathered and followed by a statistical analysis of the selected publications. Following that, the selected papers are evaluated in terms of the optimization targets as well as their spatial patterns. Structure's optimization four key steps, including modeling, optimization techniques, formulation of optimization concerns and computational tools, are also researched and examined in depth. Finally, research gaps in contemporary works are identified, as well as suggested guidance for future works.

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Section: Optimization Techniques and Methodsmentioning

confidence: 99%

Literature review of bridge structure's optimization and it's development over time

Zaheer

Tan

Qamar

2022

Int. J. Simul. Multidisci. Des. Optim.

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“…When making a three-phase inverter with the topology, the number of needed components is multiplied by 3 for all components since there is no common DC bus to share. CHB-MLI are suitable to be implemented in the photovoltaic cells, battery cells, or fuel cells [3,16,17]. The consideration of the number of levels for CHB-MLI is different from other.…”

Section: Cascaded H-bridge Multilevel Invertermentioning

confidence: 99%

“…Hence, various calculation approaches have been tested to optimize the overall performance. The calculation method includes Newton-Raphson, Fourier transform, and even bioinspired algorithm approach such as bee, ant, particle swarm, genetic, bat, and others [16][17][18][19][20][21]. The overview for this chapter is to introduce genetic algorithm and particle swarm optimization in resolving the SHE which eliminates the low order of undesired harmonics.…”

Section: Introductionmentioning

confidence: 99%

Harmonic Reduction of a Single-Phase Multilevel Inverter Using Genetic Algorithm and Particle Swarm Optimization

Goh¹,

Ling²,

Goh³

et al. 2018

Compendium of New Techniques in Harmonic Analysis

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Power inverter play an important role in power system especially with its capability on reducing system size and increase efficiently. The recent research trends of power electronic system are focusing on multilevel inverter topics in optimization on voltage output, reducing the total harmonics distortion, modulation technique, and switching configuration. The research emphasizes the optimization with a fundamental switching frequency method that is the optimized harmonic stepped waveform (OHSW) modulation method. The selective harmonic elimination (SHE) calculation has adapted with genetic algorithm (GA) and particle swarm optimization (PSO) in order to speed up the calculation. Both bioinspired algorithms are compared in terms of total harmonic distortion (THD) and selective harmonic elimination for both equal and unequal sources. The overall result showed that both algorithms have high accuracy in solving the nonlinear equation. However, the genetic algorithm showed better output quality in terms of selective harmonic elimination which overall no exceeding 0.4%. Particle swarm optimization shows strength in finding the best total harmonic distortion where in seven-level cascaded H-bridge multilevel inverter (m=0.8) shows 6.8% only as compared to genetic algorithm. Simulation for three-level, five-level, and seven-level for each multilevel inverter at different circumferences had been done in this research. The result draws out a conclusion where the possibility of having a filterless high-efficient inverter can be achieved.

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Optimized level in 1-phase and 3-phase cascaded multilevel inverter using simplified technique

Kumar¹,

Panigrahi²,

Panda

2015

2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE)

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Comprehensive harmonic optimization in cascaded h-bridge multilevel inverters using variable DC sources

Cited by 4 publications

References 11 publications

Literature review of bridge structure's optimization and it's development over time

Literature review of bridge structure's optimization and it's development over time

Harmonic Reduction of a Single-Phase Multilevel Inverter Using Genetic Algorithm and Particle Swarm Optimization

Optimized level in 1-phase and 3-phase cascaded multilevel inverter using simplified technique

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