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Optimal harmonic mitigation strategy based on multiobjective whale optimization algorithm for asymmetrical half-cascaded multilevel inverter
Electrical Engineering ( IF 1.6 ) Pub Date : 2020-03-31 , DOI: 10.1007/s00202-020-00983-y
Ali Darvish Falehi

One of the most significant issues related to the innovational multilevel inverters is the creation of high-step staircase quasi-sinusoidal voltage even with low number of semiconductors. In this paper, an innovational asymmetrical half-cascaded multilevel inverter (AHCMLI) is essentially proposed to solve this problem. The half-cascaded part of AHCMLI has operated as zero-positive level creator, and then, H-bridge part renders the perfect staircase quasi-sinusoidal voltage. The values of DC power sources of proposed AHCMLI have been defined based on an ingenious mathematical formula. On the other hand, due to the presence of high-order harmonics in output voltage of AHCMLI, they must be optimally mitigated. In this regard, an effectual and optimal rectangular notch–selective harmonic elimination–pulse width modulation (RN-SHEPWM) based on propagation proportion is suggested to simultaneously mitigate the twenty-ninth, thirty-first and thirty-fifth harmonics. Due to the multiobjective nature of the understudy problem and its special importance, it has been formulated based on multiobjective whale optimization algorithm (MOWOA). Finally, both the simulation and experimental results have decisively validated the level creation capability of proposed AHCMLI as compared to other structures. The values of twenty-ninth, thirty-first and thirty-fifth harmonics have been, respectively, mitigated to 0.0002857, 0.0003402 and 0.00029 using optimal RN-SHEPWM based on MOWOA.



中文翻译:

基于多目标鲸鱼优化算法的非对称半级联多电平逆变器最优谐波抑制策略

与创新型多电平逆变器相关的最重要问题之一是即使在半导体数量较少的情况下,也要创建高阶阶梯准正弦电压。本文提出了一种创新的非对称半级联多电平逆变器(AHCMLI)来解决该问题。AHCMLI的半级联部分用作零正电平创建器,然后,H桥部分提供了理想的阶梯准正弦电压。拟议的AHCMLI的直流电源值已基于巧妙的数学公式进行了定义。另一方面,由于AHCMLI的输出电压中存在高次谐波,因此必须对其进行最佳缓解。在这方面,提出了一种有效且最佳的基于传播比例的矩形陷波-选择性谐波消除-脉冲宽度调制(RN-SHEPWM),以同时缓解第二十九,第三十一和第三十五谐波。由于研究不足问题的多目标性质及其特殊重要性,因此基于多目标鲸鱼优化算法(MOWOA)制定了该问题。最后,与其他结构相比,仿真和实验结果都已确定性地验证了所提出的AHCMLI的水平创建能力。使用基于MOWOA的最佳RN-SHEPWM,已将第二十九次谐波,第三十一次谐波和第三十五次谐波的值分别减小为0.0002857、0.0003402和0.00029。第三十一和第三十五谐波。由于研究不足问题的多目标性质及其特殊重要性,因此基于多目标鲸鱼优化算法(MOWOA)制定了该问题。最后,与其他结构相比,仿真和实验结果都已确定性地验证了所提出的AHCMLI的水平创建能力。使用基于MOWOA的最佳RN-SHEPWM,已将第二十九次谐波,第三十一次谐波和第三十五次谐波的值分别减小为0.0002857、0.0003402和0.00029。第三十一和第三十五谐波。由于研究不足问题的多目标性质及其特殊重要性,因此基于多目标鲸鱼优化算法(MOWOA)制定了该问题。最后,与其他结构相比,仿真和实验结果都已确定性地验证了所提出的AHCMLI的水平创建能力。使用基于MOWOA的最佳RN-SHEPWM,已将第二十九次谐波,第三十一次谐波和第三十五次谐波的值分别减小为0.0002857、0.0003402和0.00029。与其他结构相比,仿真和实验结果都已决定性地验证了所提出的AHCMLI的水平创建能力。使用基于MOWOA的最佳RN-SHEPWM,已将第二十九次谐波,第三十一次谐波和第三十五次谐波的值分别减小为0.0002857、0.0003402和0.00029。与其他结构相比,仿真和实验结果都已决定性地验证了所提出的AHCMLI的水平创建能力。使用基于MOWOA的最佳RN-SHEPWM,已将第二十九次谐波,第三十一次谐波和第三十五次谐波的值分别减小为0.0002857、0.0003402和0.00029。

更新日期:2020-04-23
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