Improved power quality operation of symmetrical and asymmetrical multilevel inverter using invasive weed optimization technique

被引:15
作者
Ahmad, Salman [1 ]
Iqbal, Atif [2 ]
Ashraf, Imtiaz [3 ]
Meraj, Mohammad [2 ]
机构
[1] Islamic Univ Sci & Technol, Dept Elect Engn, Pulwama 192122, Jammu & Kashmir, India
[2] Qatar Univ, Dept Elect Engn, Doha, Qatar
[3] Aligarh Muslim Univ, Dept Elect Engn, Aligarh, Uttar Pradesh, India
关键词
Multilevel inverter; Low switching frequency; Invasive weed optimization; FPGA; Total harmonics distortion; SELECTIVE HARMONIC ELIMINATION; ALGORITHM; PWM; DESIGN; IMPLEMENTATION; MINIMIZATION;
D O I
10.1016/j.egyr.2022.01.122
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Low switching frequency pulse width modulation (PWM) technique for modulation and control of multilevel inverter in medium voltage high power applications is preferred in order to reduce the switching losses. In this context, a multilevel inverter operated with Selective harmonics minimization PWM technique offers better quality waveform at reduced switching losses. After the Fourier series analysis, the system of non-linear simultaneous transcendental equations is obtained. These equations are then solved to obtain switching angles to have certain low order harmonics at minimum value and regulation in the fundamental voltage magnitude. In this paper, a novel invasive weed optimization (IWO) technique is proposed to compute switching angles. The proposed technique can compute switching angles for both symmetrical and asymmetrical multilevel inverters. Thus it has superiority over well-known optimization techniques such as GA, PSO, DE, and ACO, etc. Moreover, in certain modulation index ranges, it provides faster convergence and accurate results which have been demonstrated in the paper. The computational results have been verified with the experimental result on the prototype developed in the laboratory. The field programming gate arrays (FPGA) based controller is used to implement the proposed technique. The hardware results have been found in close agreement with the computed results. (c) 2022 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:3323 / 3336
页数:14
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