2020
DOI: 10.1007/s00521-020-05027-x
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Adaptive fuzzy controlled hybrid shunt active power filter for power quality enhancement

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Cited by 50 publications
(15 citation statements)
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“…Hence, V m , ω, ϕ V , and ϕ I are the voltage and frequency of source, source-voltage phase, and load current. Singlephase prompt reactive and active powers in the form of αβ are discussed in the following equation [24]:…”
Section: Mathematical Modeling Of Single-phase Instantaneousmentioning
confidence: 99%
See 1 more Smart Citation
“…Hence, V m , ω, ϕ V , and ϕ I are the voltage and frequency of source, source-voltage phase, and load current. Singlephase prompt reactive and active powers in the form of αβ are discussed in the following equation [24]:…”
Section: Mathematical Modeling Of Single-phase Instantaneousmentioning
confidence: 99%
“…Hence, distorted load current is compensated by the injection current of the hybrid active power filter to achieve the sinusoidal source current of the system [27], and then, the reference current in terms of the source value is from equation ( 6) that is illustrated in the following equation [24]:…”
Section: Mathematical Modeling Of Single-phase Instantaneousmentioning
confidence: 99%
“…In [45], a fractional-order sliding-mode control scheme based on a two-hidden-layer recurrent neural network (THLRNN) is proposed for a single-phase shunt active power filter. A novel switching pulse generation methodology based on adaptive fuzzy hysteresis current controlled hybrid shunt active power filter (A-F-HCC-HSAPF) is presented in [46]. In [47], a single-phase cascaded H-bridge multilevel active power filter directly accessed to the 27.5-kV traction network is proposed to eliminate the low-frequency oscillation phenomenon in the vehicle-grid system of high-speed railways.…”
Section: Fig 1 Block Diagram Of Sapfmentioning
confidence: 99%
“…For classification, Artificial Neural Networks (ANN) (Agarwal et al, 2018), Support Vector Machine (SVM) (Ozgonenel et al, 2013, Thirumala et al, 2018, Choudhary, 2021, Fuzzy Logic (FL) techniques (Chilukuri et al, 2004, Mishra et al, 2021, Deep Learning (DP) methods (Wang et al, 2019, Sindi et al, 2021 are extensively used.…”
Section: Introductionmentioning
confidence: 99%