A Composite Selective Harmonic Elimination Model Predictive Control for Seven-Level Hybrid-Clamped Inverters With Optimal Switching Patterns

This paper presents a hybrid pulse width modulation (HPWM) strategy based on different switching patterns of selective harmonic elimination pulse width modulation (SHEPWM) for the three-level neutral point clamped (3L-NPC) converter. Specific low-order harmonics can be eliminated by SHEPWM at low switching frequency, while the remaining high-order harmonics can be selected to be simply filtered by additional hardware. Large oscillation waveform usually occurs in the transition instant between two diverse modulation situations, therefore switching between distinct switching patterns can be problematic if no effective means is taken, especially when the effect of smooth and fast transition at any time is considerable. A universal and valid control strategy, which maintains the high-quality output voltage and current, is proposed and implemented in this paper to address this issue. Simulation results obtained from MATLAB/SIMULINK are presented to analyze the performance and validate the feasibility and effectiveness of this control scheme.

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Optimal Switching Angle Scheme for a Cascaded H Bridge Inverter using Pigeon Inspired Optimization

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2017-0205 ◽

2019 ◽

Vol 20 (2) ◽

Author(s):

Aeidapu Mahesh ◽

Kanwarjit Singh Sandhu

Keyword(s):

Optimal Combination ◽

Optimal Switching ◽

Swarm Optimization ◽

Harmonic Elimination ◽

Voltage Change ◽

Selective Harmonic Elimination ◽

Input Side ◽

Real Time Applications ◽

Simulation Results ◽

Controller Board

Abstract This paper presents an approach using Pigeon Inspired Optimization (PIO) for selective harmonic elimination in a cascaded H-bridge (CHB) multilevel inverter fed with unequal dc sources. The aim of this work is to find the optimal combination of switching angles, such that the lower order harmonics are eliminated and the output voltage is constant irrespective of voltage change in the input side. This paper the PIO has been used to find the optimal angles for a 7-level inverter and the method can be scaled to any number of levels. To show the effectiveness of PIO the results have been compared with other evolutionary algorithms such as genetic algorithm (GA), particle swarm optimization (PSO). An adaptive switching angle strategy has also been developed using ANN to make the proposed strategy suitable to the real-time applications. In order to verify the results, an experimental prototype of 7 level CHB has been developed in the laboratory using dSPACE ds1104 R&D controller board. The results show that the PIO is the most accurate and fastest evolutionary algorithm for switching angle optimization and the experimental results are in close agreement with the simulation results.

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Novel Scheme to Improve Power Factor of Slip Energy Recovery Drive by Selective Harmonic Elimination

International Journal of Emerging Electric Power Systems ◽

10.1515/ijeeps-2013-0122 ◽

2014 ◽

Vol 15 (4) ◽

pp. 367-375

Author(s):

C. Ismayil ◽

M. Nanda Kumar

Keyword(s):

Power Factor ◽

Energy Recovery ◽

Input Power ◽

Open Loop ◽

Supply Side ◽

Novel Approach ◽

Harmonic Elimination ◽

Switching Patterns ◽

Proposed Model ◽

Selective Harmonic Elimination

Abstract In this paper, the harmonic analysis of inverter voltage of a slip energy recovery drive (SERD) is carried out and proposes a novel approach to improve the supply side power factor of the overall drive system. The proposed model is a self-commutated SERD using IGBT inverter, and a modulation technique called selective harmonic elimination (SHE) is applied to improve the supply side power factor. The complete solutions for switching patterns to eliminate the fifth and seventh harmonics are developed using genetic algorithm. SHE method is simulated in semi-open-loop mode, and the power factor of the drive is compared with conventional line commutated thyristor inverter-based SERD. Simulations have been carried out in Matlab/Simulink environment to predetermine the performance of the drive, and results show a significant improvement in the input power factor of the drive.

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Dynamically Weighted Optimal Switching Vector Model Predictive Control of Power Converters

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2018.2829689 ◽

2019 ◽

Vol 66 (2) ◽

pp. 1235-1245 ◽

Cited By ~ 15

Author(s):

Luis M. A. Caseiro ◽

Andre M. S. Mendes ◽

Sergio M. A. Cruz

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Power Converters ◽

Vector Model ◽

Optimal Switching

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

Sustainability ◽

10.3390/su14010310 ◽

2021 ◽

Vol 14 (1) ◽

pp. 310

Author(s):

Rashid Ahmed Khan ◽

Shoeb Azam Farooqui ◽

Mohammad Irfan Sarwar ◽

Seerin Ahmad ◽

Mohd Tariq ◽

...

Keyword(s):

Optimization Algorithm ◽

Performance Optimization ◽

High Performance ◽

Optimization Technique ◽

Harmonic Distortion ◽

Multilevel Inverter ◽

Optimal Switching ◽

Buoyant Force ◽

Harmonic Elimination ◽

Selective Harmonic Elimination

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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Improved hybrid algorithm based on GA and local search method for asymmetrical 9-level inverter

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v21.i3.pp1309-1316 ◽

2021 ◽

Vol 21 (3) ◽

pp. 1309

Author(s):

Rim Feyrouz Abdelgoui ◽

Rachid Taleb ◽

Abderrahim Bentaallah ◽

Fayçal Chabni

Keyword(s):

Local Search ◽

Hybrid Algorithm ◽

Research Method ◽

New Technology ◽

Hybrid Genetic Algorithm ◽

Search Method ◽

Multilevel Inverter ◽

Optimal Switching ◽

Harmonic Elimination ◽

Selective Harmonic Elimination

Selective Harmonic elimination has emerged as an in-depth research method to replace traditional PWM technology. This study demonstrates the selective harmonic elimination by using a hybrid Genetic algorithm GA and local search (GA-LS) method of a uniform asymmetric multilevel inverter called USAMI That removes the higher-order harmonics defined while maintaining the fundamental voltage needed. This new technology can be implemented at any USAMI level. For example, in this article, we plan to use USAMI at 9 levels and find the optimal switching angle to remove the 5th, 7th, and 11th harmonics.

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