基于遗传算法和粒子群优化的单相多电平逆变器谐波降频

C. W. Ling
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引用次数: 1

摘要

逆变器在电力系统中发挥着重要的作用,尤其是其在减小系统体积、提高系统效率方面的作用。近年来,电力电子系统的研究趋势主要集中在多电平逆变器的电压输出优化、降低总谐波畸变、调制技术和开关配置等方面。由于世界各国可再生能源政策的兴起,单机多电平逆变器的应用受到高度关注。因此,本研究的重点是确定最佳的多电平逆变器拓扑结构,并在二极管箝位、电容箝位和级联的h桥多电平逆变器中对其进行优化,以提高总谐波失真和升压能力。研究的第一部分是利用正弦脉宽调制技术确定最佳拓扑结构的多电平逆变器。结果表明,级联h桥在总谐波失真(9.27%)和基元电压(240 Vrms)下均具有最佳输出。对基频开关频率法进行了优化,即优化的谐波阶跃波形调制方法。选择性谐波消除计算采用了遗传算法和粒子群算法,提高了计算速度。对两种仿生算法在等源和不等源下的总谐波失真和选择谐波消除进行了比较。结果表明,两种算法在求解非线性方程时均具有较高的精度。然而,遗传算法在选择谐波消除方面显示出更好的输出质量,总体不超过0.4%。在7级联h桥多电平逆变器(m=0.8)中,与遗传算法相比,粒子群算法在寻找最佳总谐波畸变方面表现出较强的优势,仅为6.8%。本研究分别对每个多电平逆变器在不同周长下的3电平、5电平和7电平进行了仿真。结果表明,无滤波器的高效逆变器是可以实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harmonic Reduction of a Single-Phase Multilevel Inverter Using Genetic Algorithm and Particle Swarm Optimization
Inverter play important role in power system especially with it capability on reducing system size and increase efficient. Recent research trend of power electronics system are focusing on multilevel inverter topic in optimization on voltage output, reduce total harmonics distortion, modulation technique and switching configuration. Standalone application multilevel inverter is high focused due to the rise of renewable energy policy all around the world. Hence, this research emphasis on identify best topology of multilevel inverter and optimize it among the diode-clamped, capacitor clamped and cascaded H-bridge multilevel inverter to be used for standalone application in term of total harmonics distortion and voltage boosting capability. The first part of research that is identify best topology multilevel inverter is applying sinusoidal pulse width modulation technique. The result shown cascade H-bridge give the best output in both total harmonics distortion (9.27%) and fundamental component voltage (240 Vrms). The research proceed with optimization with fundamental switching frequency method that is optimized harmonic stepped waveform modulation method. The selective harmonics elimination calculation have adapt with genetic algorithm and particle swarm optimization in order to speed up the calculation. Both bio-inspired algorithm is compared in term of total harmonic distortion and selected harmonics elimination for both equal and unequal sources. In overall result shown both algorithm have high accuracy in solving the non-linear equation. However, genetic algorithm shown better output quality in term of selected harmonics elimination where overall no exceeding 0.4%. Particle swarm optimization shows strength in finding best total harmonics distortion where in 7-level cascaded H-bridge multilevel inverter (m=0.8) show 6.8% only as compared to genetic algorithm. Simulation for 3-level, 5-level and 7-level for each multilevel inverter at different circumferences had been done in this research. The result draw out a conclusion where the possibility of having a filterless high efficient invert can be achieve.
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