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

机译:智能电流控制器对电网交互式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饱和了在网格交互式太阳能系统的应用中提出的研究。通过使用具有稳健和灵活的控制设计,通过使用高效的逆变器控制操作来生产来自太阳系的功率质量。本文的目的是对用于逆变器操作的两个自适应电流控制器的全面分析,并基于系统动态下的网格注入电流的THD进行比较它们的性能。这些人工智能自适应控制器由神经网络概念驱动,然后是改革的权重更新过程,其完全有助于最小化由于应用逆变器单元的应用而产生的电流谐波,非线性载荷或扭曲网格。在MATLAB / SIMULINK平台中模拟所提出的电源和控制模型,其有用性在功率质量方面测量。

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