基于归一化Sigmoid函数LMS自适应滤波的并联混合型有源电力滤波器

Pavankumar Daramukkala, K. Mohanty, Markala Karthik, S. D. Swain, Bhanu Pratap Behera, V. N
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引用次数: 0

摘要

提出了一种基于归一化s型函数最小均方(NSF-LMS)的并联型混合有源电力滤波器(SHAPF)自适应滤波方法,以提高配电级电能质量。所提出的自适应滤波器是为参考电流产生和缓解源中的电流谐波而设计的,并将%THD降低到IEEE-519标准值。利用所提出的NSF-LMS方法分析了SHAPF系统在稳态和瞬态条件下的性能。无源电力滤波器(PPF)设计用于5次和7次谐波。利用MATLAB/Simulink软件进行了仿真,并对仿真结果进行了分析。利用OPAL-RT数字仿真器进行实时仿真,并对仿真结果进行了报道。
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Normalized Sigmoid Function LMS Adaptive Filter based Shunt Hybrid Active Power Filter for Power Quality Improvement
This paper presents a normalized sigmoid function least mean square (NSF-LMS) based adaptive filtering method for shunt hybrid active power filter (SHAPF) for enhancement of power quality at the distribution level. The proposed adaptive filter is designed for the reference current generation and mitigation of current harmonics in the source, and for reducing the %THD to the IEEE-519 standard value. The performance of the SHAPF system with proposed NSF-LMS method is analyzed for steady-state as well as transient conditions. The passive power filter (PPF) is designed for 5th and 7th harmonic order. The simulations are performed using MATLAB/Simulink software, and the results are analyzed. The OPAL-RT digital simulator was used to run the simulations in real time, and the results were reported.
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