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A stationary frame current control for inverter-based distributed generation with sensorless active damped LCL filter using Kalman filter

机译:使用卡尔曼滤波器的无传感器有源阻尼LCL滤波器,用于基于逆变器的分布式发电的固定框架电流控制

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Due to the large variety of renewable power sources, power electronics play an important role in energy conversion. Different power converter topologies are used to interface distributed power generation systems (DPGS) with the utility network. Introduction of power electronics for DPGS provide several advantages such as energy optimal operation by employing a control algorithm to extract the maximum available power. In addition, load control, reduced noise, controllable active and reactive power and improved power quality. Using a LCL filter to ensure that high quality power is delivered comes at the expense of degraded stability unless mitigation procedures are followed. In this paper, a stationary frame current control for inverter-based distributed generation (IBDG) with sensorless active damped LCL filter is proposed. The Kalman filter sensorless-based technique not only mitigates the stability problem regarding the resonance of the LCL filter, but it improves the overall stability margins. The concluded assumptions were simulated through Matlab/Simulink and verified experimentally with a laboratory prototype.
机译:由于可再生能源种类繁多,电力电子在能量转换中起着重要作用。不同的电源转换器拓扑用于将分布式发电系统(DPGS)与公用网络连接。用于DPGS的功率电子器件的引入提供了许多优势,例如通过采用控制算法提取最大可用功率来实现能源最佳运行。此外,负载控制,降低的噪声,可控的有功和无功功率以及改善的电能质量。除非遵循缓解程序,否则使用LCL滤波器来确保提供高质量电源的代价是稳定性下降。本文提出了一种具有无传感器有源阻尼LCL滤波器的基于逆变器的分布式发电(IBDG)的固定框架电流控制。基于卡尔曼滤波器的无传感器技术不仅减轻了与LCL滤波器共振有关的稳定性问题,而且还提高了整体稳定性裕度。得出的假设通过Matlab / Simulink进行了仿真,并通过实验室原型进行了实验验证。

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