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http://dx.doi.org/10.5370/JEET.2017.12.5.1872

Subsection Synchronous Current Harmonic Minimum Pulse Width Modulation for ANPC-5L Inverter  

Feng, Jiuyi (School of Mechatronic Engineering and Automation, Shanghai University)
Song, Wenxiang (School of Mechatronic Engineering and Automation, Shanghai University)
Xu, Yuan (School of Mechatronic Engineering and Automation, Shanghai University)
Wang, Fei (School of Mechatronic Engineering and Automation, Shanghai University)
Publication Information
Journal of Electrical Engineering and Technology / v.12, no.5, 2017 , pp. 1872-1882 More about this Journal
Abstract
Medium voltage drive systems driven by high-power multi-level inverters operating at low switching frequency can reduce the switching losses of the power device and increase the output power. Employing subsection synchronous current harmonic minimum pulse width modulation (CHMPWM) technique can maintain the total harmonic distortion of current at a very low level. It can also reduce the losses of the system, improve the system control performance and increase the efficiency of DC-link voltage accordingly. This paper proposes a subsection synchronous CHMPWM approach of active neutral point clamped five-level (ANPC-5L) inverter under low switching frequency operation. The subsection synchronous scheme is obtained by theoretical calculation based on the allowed maximum switching frequency. The genetic algorithm (GA) is adopted to get the high-precision initial values. So the expected switching angles can be achieved with the help of sequential quadratic programming (SQP) algorithm. The selection principle of multiple sets of the switching angles is also presented. Finally, the validity of the theoretical analysis and the superiority of the CHMPWM are verified through both the simulation results and experimental results.
Keywords
Active neutral point clamped five-level inverter; Current harmonic minimum; Low switching frequency; Genetic algorithm; Sequential quadratic programming;
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Times Cited By KSCI : 2  (Citation Analysis)
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