An Improved Problem Formulation for THD Minimization of Multilevel Inverters

Khan, Noman Mujeeb; Abbas, Tanveer; Awais, Muhammad; Ahmed, Shakeel; Hussain, Babar; Tufail, Muhammad

doi:10.1007/s13369-023-07867-w

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…Harmonics are defined as sine components of a periodic wave called the fundamental that have a frequency corresponding to an integer multiple of the fundamental frequency wave (Reddy & Narayana, 2020). Measuring the harmonic content of the voltage waveform synthesised by inverters is a fundamental part of determining their performance (Aguila-León et al, 2023) (Khan et al, 2023). Nowadays, norms and standards limit the harmonic content of the voltage and current synthesised by inverters, so ensuring the lowest possible harmonic content is necessary.…”

Section: Harmonic Distortionmentioning

confidence: 99%

Total harmonic distortion optimization in a seven level multilevel inverter by the random search heuristic algorithm

Gómez-Rosas,

Torres-Cruz,

Joers-Delgado

et al. 2023

EJT

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In this article, the random search heuristic optimization algorithm is proposed to guarantee that the voltage synthesized by a seven-level multilevel inverter contains the lowest possible total harmonic distortion. The algorithm in this work is presented as an alternative, simple, and easy-to-implement method for solving a set of transcendental mathematical equations of multilevel inverters. The obtained results demonstrate the algorithm's capability to solve the mathematical formulation that minimizes the total harmonic distortion. It is important to highlight that the algorithm was implemented in Matlab®, and the obtained results were validated in a simulation conducted in Simulink®. Equally and not less important, the results were physically implemented in a laboratory prototype of three integrated circuits with H-bridges containing insulated gate bipolar transistors.

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Section: Harmonic Distortionmentioning

confidence: 99%

Total harmonic distortion optimization in a seven level multilevel inverter by the random search heuristic algorithm

Gómez-Rosas,

Torres-Cruz,

Joers-Delgado

et al. 2023

EJT

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show abstract

“…The rapid adoption of Renewable Energy Sources (RESs) in Low-Voltage (LV) networks has extremely motivated considerable research interest in developing more efficient, compact, dependable, and easily expandable energy conversion devices 1 . Among the various concepts of DC-AC conversion, Multi-Level Inverters (MLIs) have emerged as a promising solution 2 .…”

Section: Introductionmentioning

confidence: 99%

A grey wolf optimization-based modified SPWM control scheme for a three-phase half bridge cascaded multilevel inverter

Nasser,

Refky,

Shatla

et al. 2024

Sci Rep

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The Multilevel inverter (MLI) plays a pivotal role in Renewable Energy (RE) systems by offering a cost-effective and highly efficient solution for converting DC from Photovoltaic (PV) sources into AC at high voltages. In addition, an innovative technology holds immense significance as it not only enables the seamless integration of PV systems into the grid but also ensures optimal power generation, thereby contributing to the widespread adoption of RE and fostering a sustainable future. This paper presents a modified sinusoidal pulse width modulation (SPWM) control scheme for a three-phase half-bridge cascaded MLI-powered PV sources. The selection of the MLI configuration is motivated by its reduced number of switching components, which enhances system reliability and simplifies experimental implementation. Compared to the SPWM schemes which require (m−1) carriers that make the generation of the pulse circuit very complex, the proposed control scheme requires only three signals: a carrier signal, a triangular waveform, and a modulating signal. This approach significantly reduces the complexity of control and facilitates practical implementation. The proposed control scheme simulation is verified using MATLAB/SIMULINK Software. The grey wolf optimization (GWO) algorithm is implemented to determine the optimal switching angles of the proposed control scheme. The Total Harmonic Distortion (THD) objective is selected to be the fitness function to be minimized for improving the quality of the output waveforms. For verification, the results of the proposed GWO-based modified SPWM control scheme are compared with those obtained using both the Particle swarm Optimization (PSO) and Genetic algorithm (GA) used in the literature. Simulation results declared that the proposed control scheme improves performance, especially THD which is minimized to 6.8%. Experimental validation has been conducted by building a laboratory prototype of the proposed system. The experimental and simulation results gave acceptable and limited convergent results considering the experimental difficulties.

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