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.

中文翻译：

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多电平逆变器最大功率点跟踪光伏系统并网混合技术

本文提出了一种新的太阳能光伏系统并网混合技术，该技术采用改进的增量电导最大功率点跟踪算法与多输出转换器和多电平逆变器。所提出的混合技术是改进的海豚回声定位算法和梯度提升决策树的联合执行，因此所提出的技术被称为IDE-GBDT技术。所提出的工作的新颖之处在于海豚回声定位算法，该算法通过交叉和变异函数进行集成，因此命名为IDE。在所提出的技术中，多输出转换器是升压转换器和开关电容器功能的组合，以产生不同的自平衡输出电压。在提议的系统中使用多电平逆变器提供了更好的输出电压和电流波形质量，从而减小了无源滤波器的尺寸。此外，还消除了对用于电网集成的笨重变压器的要求。多载波单极相位配置脉宽调制技术用于触发多电平逆变器的开关。最大功率点跟踪算法使用估计的发电机有功功率输出作为其输入并生成命令速度，以便将最大功率传输到直流链路。该控制系统还结合了损耗最小化方法，以最大限度地减少发电机中的损耗，从而提高光伏系统的效率。最后，风力和光伏发电方案的最大功率点跟踪控制的性能在Matrix Laboratory/Simulink工作平台上执行，并使用现有技术进行评估。将所提出的技术与现有技术进行比较，在所有情况下观察到的所提出技术的总谐波失真为 0.67%、0.51%、0.58%、0.63%、0.92% 和 1.03%，发现总谐波失真为与现有技术相比要少得多。