利用遗传算法和模拟退火对27级光伏逆变器的THD进行最小化

A. A. K. Arani, H. Zaferani, M. Sanjari, G. Gharehpetian
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引用次数: 11

摘要

多电平逆变器具有成本低、效率好等优点,在光伏板、燃料电池等领域有一定的应用。级联h桥MLI就是其中一种MLI。到目前为止,已经提出了不同的交换算法获取方法。本文通过调节开关的开关次数来实现27电平逆变器的THD最小化。为此,首先将THD定义为这些切换角的函数,然后使用两种优化算法:1-遗传算法2-模拟退火。在获得这些角度后,分别模拟了理想直流电压源和详细PV电池作为直流电压源的27电平逆变器,并进行了FFT分析。
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Using genetic algorithm and simulated annealing for 27-level PV inverter THD minimization
Multilevel inverters have many advantages such as low cost, good efficiency and etc, and some application such as PV panels and fuel cells. Cascaded H-bridge MLI is one type of these MLIs. Up to now, different methods for acquiring switching algorithm have been proposed. In this paper, minimization of THD by adjusting switching times of switches is used for a 27-level inverter. For this purpose first THD is defined as a function of these switching angles and then for minimization of this function, two optimization algorithm is used: 1-Genetic Algorithms 2- Simulated Annealing. After achieving these angles, a 27-level inverter one time with ideal DC voltage sources and one time with detailed PV cells as DC voltage sources is simulated and a FFT analyses is done.
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