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BEST CONTROL STRATEGY FOR UNIFIED POWER QUALITY CONDITIONER (UPQC) BASED ON SIMULATION

机译:基于仿真的统一电能质量调节器(UPQC)的最佳控制策略

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This paper presents best control strategy for Unified Power Quality Conditioner (UPQC). In this paper three different and new control strategies for Unified Power Quality Conditioner is presented and their operation is investigated and compared via MATLAB Simulink. In the first case, the control strategy of Parallel Active Filter (PAF) and Series Active Filter (SAF) are based on Fourier transform theory. In the second case, the control strategy of Parallel Active Filter is based on PQ theory and control strategy of Series Active Filter is based on Fourier theory, too. In the third case, the control strategy of Parallel Active Filter is based on Fourier transform theory and control strategy of Series Active Filter is based on positive sequence detection. Operating of PAF using these methods compensate for reactive power and current harmonics, while operation of SAF compensates for imbalances, voltage harmonics and positive and zero sequences of utility voltages. Compensation resolution and speed of three new mentioned control strategies are explained using MATLAB software and via simulation. From results it is known that third control strategy between these three control approaches has best compensation speed and resolution.
机译:本文提出了统一电能质量调节器(UPQC)的最佳控制策略。本文提出了三种不同的和新的统一电能质量调节器控制策略,并通过MATLAB Simulink对它们的操作进行了研究和比较。在第一种情况下,并联有源滤波器(PAF)和串联有源滤波器(SAF)的控制策略基于傅立叶变换理论。在第二种情况下,并联有源滤波器的控制策略基于PQ理论,而串联有源滤波器的控制策略也基于傅立叶理论。在第三种情况下,并联有源滤波器的控制策略基于傅立叶变换理论,而串联有源滤波器的控制策略则基于正序检测。使用这些方法对PAF进行操作可补偿无功功率和电流谐波,而对SAF进行操作可补偿不平衡,电压谐波以及市电电压的正序和零序。使用MATLAB软件并通过仿真说明了三种新提到的控制策略的补偿分辨率和速度。从结果可知,这三种控制方法之间的第三种控制策略具有最佳的补偿速度和分辨率。

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