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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
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Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm

机译:利用生物启发AI算法,最小化级联H桥多晶逆变器的总谐波扭曲

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摘要

Minimizing total harmonic distortion (THD) with less system complexity and computation time is a stringent constraint for many power systems. The multilevel inverter can have low THD when switching angles are selected at the fundamental frequency. For low-order harmonic minimization, selective harmonic elimination (SHE) is the most adopted and proficient technique but it involves the non-linear transcendental equations which are very difficult to solve analytically and numerically. This paper proposes a genetic algorithm (GA)-based optimization technique to minimize the THD of cascaded H-bridge multilevel inverter. The GA is the finest approach for solving such complex equations by obtaining optimized switching angles. The switching angles are calculated by the genetic algorithm by solving the nonlinear transcendental equations. This paper has modeled and simulated a five-level inverter in MATLAB Simulink. The THD comparison is carried out between step modulation method and optimization method. The results reveal that THD has been reduced from 17.88 to 16.74% while third and fifth harmonics have been reduced from 3.24%, 3.7% to 0.84% and 3.3%, respectively. The optimization method along with LC filter significantly improves the power quality providing a complete sinusoidal signal for varying load.
机译:最小化系统复杂性较少的总谐波失真(THD),计算时间是许多电力系统的严格约束。当在基频时选择开关角时,多级逆变器可以具有低THD。对于低阶谐波最小化,选择性谐波消除(她)是最常用和精通技术,但它涉及非线性超轮廓方程,非常难以分析和数值求解。本文提出了基于遗传算法(GA)的优化技术,以最大限度地减少级联H桥多级逆变器的THD。 GA是通过获得优化的切换角来求解这种复合方程的最佳方法。通过求解非线性超轮廓方程,通过遗传算法计算开关角。本文在Matlab Simulink中建模并模拟了一个五级逆变器。在步骤调制方法和优化方法之间进行THD比较。结果表明,THD已从17.88降至16.74%,而第三和第五次谐波分别从3.24%降低,分别为3.24%至0.84%和3.3%。优化方法以及LC滤波器显着提高了提供完整的正弦信号的功率质量,以改变负载。

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