Shunt active power filter with enhanced dynamic performance using novel control strategy

Zhang, Xiao; Deng, Xiangtian; Yuan, Rongxiang; Guo, Pilong; Chen, Qijuan

doi:10.1049/iet-pel.2013.0524

Cited by 31 publications

(27 citation statements)

References 26 publications

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“…The detailed calculations for determining the values of the dc link capacitor, dc/dc boost inductor and filtering inductor was based on [53,54]. Specifically, for the dc link capacitor, a bigger value is needed for minimizing the ripple voltage [52,55]. Two types of nonlinear loads were developed by using a diode H-bridge rectifier with 470 µF capacitor and 50 Ω resistor (capacitive load) connected in parallel as the first one, and meanwhile a 160 mH inductor and 15 Ω resistor (inductive load) connected in series for the second one.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…A synchronizer based on the ANN method, or called as unified ADALINEs-based fundamental voltage extraction algorithm, is used to produce a reference sinusoidal signal [46]. The source of harmonics is from a rectifier-based circuit with nonlinear loads, connected to the grid, which produces current harmonics in electrical power systems [47][48][49][50][51][52].…”

Section: Integration Of Photovoltaic With Shunt Active Power Filtermentioning

confidence: 99%

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Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters

et al. 2016

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This paper presents improvement of a harmonics extraction algorithm, known as the fundamental active current (FAC) adaptive linear element (ADALINE) neural network with the integration of photovoltaic (PV) to shunt active power filters (SAPFs) as active current source. Active PV injection in SAPFs should reduce dependency on grid supply current to supply the system. In addition, with a better and faster harmonics extraction algorithm, the SAPF should perform well, especially under dynamic PV and load conditions. The role of the actual injection current from SAPF after connecting PVs will be evaluated, and the better effect of using FAC ADALINE will be confirmed. The proposed SAPF was simulated and evaluated in MATLAB/Simulink first. Then, an experimental laboratory prototype was also developed to be tested with a PV simulator (CHROMA 62100H-600S), and the algorithm was implemented using a TMS320F28335 Digital Signal Processor (DSP). From simulation and experimental results, significant improvements in terms of total harmonic distortion (THD), time response and reduction of source power from grid have successfully been verified and achieved.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Integration Of Photovoltaic With Shunt Active Power Filtermentioning

confidence: 99%

Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters

et al. 2016

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“…Many filters are designed to infuse the harmonics and reactive current to the supply mains. The Active filter compensates the harmonics and static VAr compensates the reactive power [1][2][3][4][5][6], but both compensation is still under research. The lessening of both issues depends upon the reference current generated by the control algorithm and current controller of the Shunt Active filter (SAF).…”

Section: Introductionmentioning

confidence: 99%

“…Both involved many transformations and mathematical calculation. Many types of reference current generator of APF are proposed in the literature [1][2][3][4][5]. The harmonic current can be extracted from the load current using frequency domain and time domain.…”

Section: Introductionmentioning

confidence: 99%

Adaptive filter based current controller for Shunt Active filter

Sriranjani¹,

Jayalalitha²

2018

IJET

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This paper deals with the harmonic mitigation and reactive power compensation using Shunt Active filter. The performance of the Shunt active filter depends on the design and current control technique for generating a reference current. The design of the filter involves the iterative procedure for choosing the filter components so that it compensates the harmonics and reactive power for maximum load condition. The current controller method adopted for indirect current control technique where the reference signal is similar to the supply current signal. The Adaptive filter used in current controller mitigates harmonics and reactive power and voltage control loop of SAF balancing the active power between the load and supply unit. The learning rate is fixed by repeated simulation. The SAF active filter is tested in four load condition ie., nonlinear load(37% Total Harmonic Distortion(THD)),highly nonlinear load(>100% THD), linear load(<8% THD, power factor(pf) <0.5) and both nonlinear and linear load(37% THD and 0.7 pf). The study is carried out in MATLAB Simulink and the results are presented.

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“…In order to obtain a symmetrical switching frequency, repetitive, predictive, sliding mode and Crisp-PI current controllers are employed. All these controllers are developed using mathematical models [23,24]. Nevertheless, Crisp-PI current controllers exhibit simpler mathematical model than the above-mentioned controllers [25].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Hybrid Fuzzy-Proportional Plus Crisp-Integral Current Control Algorithm for Shunt Active Power Filter Operation

et al. 2016

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An adaptive hybrid fuzzy-proportional plus crisp-integral current control algorithm (CCA) for regulating supply current and enhancing the operation of a shunt active power filter (SAPF) is presented. It introduces a unique integration of fuzzy-proportional (Fuzzy-P) and crisp-integral (Crisp-I) current controllers. The Fuzzy-P current controller is developed to perform gain tuning procedure and proportional control action. This controller inherits the simplest configuration; it is constructed using a single-input single-output fuzzy rule configuration. Thus, an execution of few fuzzy rules is sufficient for the controller's operation. Furthermore, the fuzzy rule is developed using the relationship of currents only. Hence, it simplifies the controller development. Meanwhile, the Crisp-I current controller is developed to perform integral control action using a controllable gain value; to improve the steady-state control mechanism. The gain value is modified and controlled using the Fuzzy-P current controller's output variable. Therefore, the gain value will continuously be adjusted at every sample period (or throughout the SAPF operation). The effectiveness of the proposed CCA in regulating supply current is validated in both simulation and experimental work. All results have proven that the SAPF using the proposed CCA is capable to regulate supply current during steady-state and dynamic-state operations. At the same time, the SAPF is able to enhance its operation in compensating harmonic currents and reactive power. Furthermore, the implementation of the proposed CCA has resulted more stable dc-link voltage waveform.

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Shunt active power filter with enhanced dynamic performance using novel control strategy

Cited by 31 publications

References 26 publications

Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters

Fundamental Active Current Adaptive Linear Neural Networks for Photovoltaic Shunt Active Power Filters

Adaptive filter based current controller for Shunt Active filter

Adaptive Hybrid Fuzzy-Proportional Plus Crisp-Integral Current Control Algorithm for Shunt Active Power Filter Operation

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