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首页> 外文期刊>Science, Measurement & Technology, IET >Declining multi inverter-based total harmonic distortion with the aid of hybrid optimisation technique
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Declining multi inverter-based total harmonic distortion with the aid of hybrid optimisation technique

机译：借助混合优化技术，降低基于多逆变器的总谐波失真

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摘要

Multilevel inverter has arrived on the scene as an attractive and unique tool which is extensively employed for adapting dc (direct current) voltage to ac (alternating current) voltage. These appliances have recently taken shape as reliable sources of elevated power and found themselves well-utilised more often than not in industrial applications, by employing sine or adapted sine waves. The sine wave form generated in the multilevel inverter output has huge harmonics which should be minimised by appropriate steps. With a view to minimise the harmonics at the output signal, it is necessary to cut short the related total harmonic deformation (THD) of switching angles. Genetic algorithm is widely employed for the function of harmonic optimisation. However a hurdle appears as the cost function tends to invite further intricacy for the optimisation, entailing an added number of iterations. Therefore, with an eye on scaling down the number of iterations, the intention of genetic and particle swarm optimisation algorithms is to optimise the switching angles to the utmost. This method also leads to the decline of the related THD values. The innovative method is executed in the MATLAB/Simulink working platform.
机译：多电平逆变器已经作为一种有吸引力的独特工具出现在了现场，该工具已广泛用于将直流（直流）电压调整为交流（交流）电压。这些设备最近已成为可靠的高功率来源，并且通过使用正弦波或自适应正弦波，发现它们在工业应用中得到了很好的利用，而在工业应用中却没有得到更多利用。多电平逆变器输出中生成的正弦波形具有巨大的谐波，应通过适当的步骤将其最小化。为了使输出信号处的谐波最小化，有必要缩短开关角度的相关总谐波变形（THD）。遗传算法被广泛用于谐波优化功能。然而，由于成本函数趋向于为优化带来更多复杂性，因此出现了障碍，需要增加迭代次数。因此，着眼于减少迭代次数，遗传和粒子群优化算法的目的是最大程度地优化切换角度。该方法还导致相关THD值下降。该创新方法在MATLAB / Simulink工作平台中执行。

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