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A hybrid technique used in grid integration of photovoltaic system for maximum power point tracking with multilevel inverter

机译:一种混合技术,用于光伏系统的电网集成,用多级逆变器跟踪最大功率点跟踪

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摘要

A new hybrid technique for grid integration of solar photovoltaic system using modified incremental conductance maximum power point tracking algorithm with multi-output converter and multilevel inverter is proposed in the paper. The proposed hybrid technique is the joint execution of improved dolphin echolocation algorithm and gradient boosting decision trees and this way the proposed technique is named as IDE-GBDT technique. The novelty of the proposed work is the dolphin echolocation algorithm, which is integrated by the crossover and the mutation function so it is named as IDE. In the proposed technique, the multi-output converter is the combination of boost converter and switched capacitor function to generate different self-balanced output voltages. The utilization of multilevel inverter in the proposed system provides better quality of output voltage and current waveform thereby reducing the size of passive filters. Also, eliminates the requirement of bulky transformers for grid integration. Multicarrier unipolar phase disposition pulse width modulation technique is employed for triggering the switches of the multilevel inverter. The maximum power point tracking algorithm uses the estimated active power output of the generator as its input and generates command speed so that maximum power is transferred to the dc link. This control system also incorporates a loss minimization approach to minimize the losses in the generator and hence to improve the efficiency of the photovoltaic system. Finally, the performance of the proposed maximum power point tracking control of wind and photovoltaic power generation schemes is executed in Matrix Laboratory/Simulink working platform and the execution is assessed with the existing techniques. The proposed technique is compared with the existing techniques and the observed total harmonic distortion of the proposed technique in all the cases is 0.67%, 0.51%, 0.58%, 0.63%, 0.92%, and 1.03% and the total harmonic distortion is found to be very less compared with existing techniques.
机译:本文提出了一种基于多输出变流器和多电平逆变器的改进增量电导最大功率点跟踪算法的太阳能光伏并网新技术。所提出的混合技术是改进的dolphin回声定位算法和梯度增强决策树的联合执行,这种方法被称为IDE-GBDT技术。这项工作的新颖之处在于海豚回声定位算法,该算法由交叉和变异函数集成,因此被称为IDE。在所提出的技术中,多输出变换器是boost变换器和开关电容功能的组合,以产生不同的自平衡输出电压。在该系统中使用多电平逆变器可以提供更好的输出电压和电流波形质量,从而减小无源滤波器的尺寸。此外,消除了电网集成对大型变压器的要求。采用多载波单极性相位配置脉宽调制技术触发多电平逆变器的开关。最大功率点跟踪算法使用发电机的估计有功功率输出作为输入,并生成指令速度,以便将最大功率传输到直流链路。该控制系统还采用了损耗最小化方法,以最小化发电机中的损耗,从而提高光伏系统的效率。最后,在Matrix Laboratory/Simulink工作平台上对所提出的风力发电和光伏发电方案的最大功率点跟踪控制进行了性能测试,并使用现有技术对其执行情况进行了评估。将所提出的技术与现有技术进行了比较,在所有情况下,所提出技术的观测总谐波失真分别为0.67%、0.51%、0.58%、0.63%、0.92%和1.03%,并且发现总谐波失真与现有技术相比非常小。

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