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Relative Influence of Intelligent Current Controllers on Power Quality in Grid-Interactive Solar Inverter System

机译:智能电流控制器对并网太阳能逆变器系统电能质量的相对影响

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The solar inverter based control technologies have almost saturated the research filed in an application of grid-interactive solar systems. It is mandatory to produce quality of power from solar systems by using efficient inverter control operation with robust and flexible control design. The objective of this paper is to present a comprehensive analysis on two adaptive current controllers used for inverter operation and compare their performances based on THD for the grid injected currents under system dynamics. These artificial intelligent adaptive controllers are driven by neural network concepts followed by reformed weight updation process which entirely helps in minimizing current harmonics generated due to the application of inverter units, non-linear loads or distorted grid. The proposed power and control models are simulated in MATLAB/Simulink platform and their usefulness are measured in terms of power quality.
机译:基于太阳能逆变器的控制技术几乎已经饱和了在电网互动式太阳能系统的应用领域中进行的研究。必须通过高效的逆变器控制操作以及稳健而灵活的控制设计来产生太阳能系统的电能质量。本文的目的是对两个用于逆变器运行的自适应电流控制器进行全面的分析,并比较基于THD的系统动态下电网注入电流的性能。这些人工智能自适应控制器由神经网络概念驱动,随后进行了改进的权重更新过程,这完全有助于最大程度地减少由于应用逆变器单元,非线性负载或电网畸变而产生的电流谐波。在MATLAB / Simulink平台上对提出的电源和控制模型进行了仿真,并根据电源质量测量了它们的有用性。

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