An Initial Solution Based Selective Harmonic Elimination Method for Multilevel Inverter

Peeyush Kala;Abhinav Sharma;Vibhu Jately;Jyoti Joshi;Yongheng Yang
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Abstract

This article presents an initial solution based selective harmonic elimination (SHE) method for multilevel inverter (MLI) that aims to solve SHE problem with high accuracy while significantly reducing the number of iterations. Initial SHE solution is defined as a set of initial switching angles that has less accuracy as compared to the final SHE solution. To find initial SHE solution, tunicate swarm algorithm (TSA), grey wolf optimization (GWO) and whale optimization (WO) are used to solve five-dimensional SHE problem. A comparative analysis demonstrates that TSA achieved the desired initial SHE solution within lesser iterations as compared to GWO and WO for a wide range of modulation indices. The initial switching angles found using TSA are further optimized using Newton-Raphson (NR) method being the proposed TSANR method, which exploits the SHE search space with quadratic rate of convergence to find final SHE solution. The proposed TSANR method significantly minimizes the computational time and further improves the accuracy of the SHE solution as compared to the state-of-the-art SHE methods. Detailed simulations, experimental and harmonic analysis under dynamic change in modulation index are presented to show the efficacy of the proposed SHE method in terms of control over fundamental and detrimental harmonics.
基于初始解的多电平逆变器选择性谐波消除方法
本文提出了一种基于初始解的多电平逆变器(MLI)选择性谐波消除(SHE)方法,旨在高精度地解决 SHE 问题,同时显著减少迭代次数。初始 SHE 解被定义为一组初始开关角度,其精度低于最终 SHE 解。为了找到初始 SHE 解,我们采用了调谐蜂群算法(TSA)、灰狼优化算法(GWO)和鲸鱼优化算法(WO)来解决五维 SHE 问题。对比分析表明,与灰狼优化算法和鲸鱼优化算法相比,TSA 算法在较宽的调制指数范围内以较少的迭代次数获得了所需的初始 SHE 解决方案。使用 TSA 找到的初始切换角通过牛顿-拉斐森(NR)方法进一步优化,即所提出的 TSANR 方法,该方法利用 SHE 搜索空间,以二次收敛率找到最终 SHE 解决方案。与最先进的 SHE 方法相比,所提出的 TSANR 方法大大减少了计算时间,并进一步提高了 SHE 解法的精度。详细的模拟、实验和调制指数动态变化下的谐波分析表明了所提出的 SHE 方法在控制基波和有害谐波方面的功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.80
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