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Application of memetic algorithm for selective harmonic elimination in multi-level inverters

机译：模因算法在多电平逆变器中选择性谐波消除的应用

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摘要

Multi-level inverter (MLI) is a promising technology, able to generate high-quality power with lower switching frequency. Therefore it leads to high conversion efficiency and low switching losses. Selective harmonic elimination is a fundamental frequency switching strategy that theoretically provides desirable output waveform for MLIs by elimination of low order harmonics. Unfortunately, complexity, non-linearity and solvability features attached to this method have limited its industrial application. In this study, a particle swarm optimisation (PSO)-based memetic algorithm (MA) guided by mesh adaptive direct search is introduced as a suitable choice for the harmonic optimisation problem. This algorithm is precise and applicable to any MLI. The results show that MA converges to the exact solution for feasible modulation index. When the problem has no exact solution, the algorithm finds a relatively proper solution to regulate the fundamental component of the voltage. Furthermore, the comparison between MA and other methods shows that the probability of convergence of MA is higher than others. For 48% of the analysed data MA reaches to a fitness value lower than 10 whereas this probability is 5% for PSO and almost zero for genetic algorithm and bee algorithm. The proposed method has been implemented on a cascade seven-level inverter.
机译：多电平逆变器（MLI）是一项很有前途的技术，能够以较低的开关频率生成高质量的电源。因此，它导致高转换效率和低开关损耗。选择性谐波消除是一种基本的频率切换策略，理论上通过消除低阶谐波为MLI提供了理想的输出波形。不幸的是，这种方法所具有的复杂性，非线性和可溶解性特征限制了其工业应用。在这项研究中，引入了基于网格自适应直接搜索的基于粒子群优化（PSO）的模因算法（MA）作为谐波优化问题的合适选择。该算法精确且适用于任何MLI。结果表明，MA收敛到可行调制指数的精确解。当问题没有确切的解决方案时，算法会找到一个相对合适的解决方案来调节电压的基本分量。此外，MA与其他方法的比较表明，MA收敛的可能性高于其他方法。对于48％的分析数据，MA的适应度值低于10，而PSO的概率为5％，而遗传算法和蜂算法的概率为零。所提出的方法已经在级联七电平逆变器上实现。

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