Failure of any sensor involved in the operation of shunt active power filter (SAPF) not only degrades its performance but also deteriorates power quality. The purpose of the proposed technique is to eliminate load current, dc voltage, and filter current sensors, thus reducing the hardware cost of SAPF. In addition to the load and filter current sensor reduction, this article proposes a new dc voltage estimation technique, which will be used to eliminate the dc voltage sensor present in conventional SAPF. The proposed dc voltage estimation technique is based on model reference adaptive system (MRAS). A comparative analysis of the conventional SAPF (i.e., including all sensors) is performed with the proposed sensor reduction method to verify the effectiveness of the proposed method. Stability and sensitivity analysis of the estimation technique is performed in detail. The proposed work is simulated on the MATLAB/SIMULINK platform under various load conditions and disturbances. Further, it is validated on OPAL-RT 5700 platform.

中文翻译：

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基于MRAS的直流电压估计和负载电流传感器降低的并联有源电力滤波器的改进控制策略

并联有源电力滤波器（SAPF）运行中涉及的任何传感器的故障不仅会降低其性能，而且还会降低电源质量。拟议技术的目的是消除负载电流，直流电压和滤波器电流传感器，从而降低SAPF的硬件成本。除了减少负载和滤波器电流传感器之外，本文还提出了一种新的直流电压估算技术，该技术将用于消除常规SAPF中存在的直流电压传感器。所提出的直流电压估计技术基于模型参考自适应系统（MRAS）。使用所提出的传感器减少方法对常规SAPF（即包括所有传感器）进行了比较分析，以验证所提出方法的有效性。详细地进行了估计技术的稳定性和敏感性分析。在各种负载条件和干扰下，在MATLAB / SIMULINK平台上对提出的工作进行了仿真。此外，它在OPAL-RT 5700平台上得到了验证。