Comparison of performances of hysteresis and dead beat controllers in active power filtering

Panigrahi, Rakhee; Panda, P. C.; Subudhi, Bidyadhar

doi:10.1109/icset.2012.6357413

Cited by 7 publications

(5 citation statements)

References 21 publications

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“…. There are many methods to design inner loop's controller as PI control, known as fixed frequency control or hysteric current control [13]; the control engineering SFX-ADF [14,15]; Delta modulation technic [16][17][18] or Dead-Bead [19,20]. The control problem of inner control loop is most interesting research topics and this topic has attracted a great deal of attention from scholars to improve the dynamic characteristic, compensate completely the harmonics, reduce the THD, minimize the oscillation of power networks caused by nonlinear loads etc.…”

Section: S L Cmentioning

confidence: 99%

Control shunt active filter based on dq frame using current model prediction

Van¹,

Danh²

2019

IJRA

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The nonlinear loads present more in the power systems in the practice today by developing of electronic technology and using the small distributed power sources (solar power, wind power etc.), this causes the increasing the high frequency switch devices etc. in the power network. Nonlinear loads cause non-sinusoidal currents and voltages with harmonic components, increasing the reactive power, overload of power lines and electrical devices, low power factor and affecting badly to the networks. Shunt active filters (SAF) with current controlled voltage source inverters (CCVSI) are used effectively to reduce the harmonics and to balance the phases sinusoidal source currents by generating the currents to compensate the harmonic currents caused by the nonlinear loads. In this paper we suppose a control strategy to generate the compensation currents of SAF by using the current model predictive engineering. This method is better than the control strategy using PI controller in term of transient time. The desired compensation currents can track exactly the reference compensation currents on the dq frame. The simulation results implemented on the nonlinear load, a full bridge rectifier and 3 phase unbalance load, show that the transient period decrease from 0.1s to 0.02s in comparing with PI controller. The experimental results proof that the THD of source currents decrease from 24.8% to 5.4% when using the proposed method.

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Section: S L Cmentioning

confidence: 99%

Control shunt active filter based on dq frame using current model prediction

Van¹,

Danh²

2019

IJRA

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“…This parametric methods offer higher resolution and better accuracy than the non-parametric methods [62]. Kalman filter (KF) estimator is one of the methods that fall into the parametric method category which have been widely studied and used for different applications [62][63][64][65][66][67][68][69].…”

Section: State Of the Artmentioning

confidence: 99%

Kalman Filters for Reference Current Generation in Shunt Active Power Filter (APF)

Hasim¹,

MohdDardin²,

Ibrahim³

2018

Kalman Filters - Theory for Advanced Applications

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Shunt active power filter (APF) method have been used by many researchers as a solution in reducing the harmonics creating by the non-liner loads. Therefore, this research is targeted to design and implement a three-phase shunt APF employing Kalman filter estimator. Conventionally, low-pass filter (LPF) is used to filter out the unwanted DC component of the non-linear load to produce the sinusoidal waveform called the reference current. However, when applying LPF it contributes with the phase shift and high transient at the supply current. Therefore, to reduce these problems, the digital Kalman filter estimator is used to replace the LPF for generating the reference current. Details on the investigation between conventional and proposed methods under simulation based on Matlab Simulink platform and experimental that are made for two types of load, namely, three-phase rectifier with RC-load and three-phase induction motor, are presented. The performance criteria of the shunt APF are determined by the supply current waveform, total harmonic distortion (THD), harmonic spectrum and power quality measurements, which were also obtained by simulation and experimental. In conclusion, by employing Kalman filter estimator for generating the reference current, it reduces the time delay and high transient current at the power supply and, thus, improved the overall THD from 0.1 to 0.42% compared to the LPF.

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“…The inner loop' role is to control IGBT of SAF to generate the compensation currents injected to the power network such that it can track quickly the currents , c r c r ii ab . There are many method to design inner loop's controller as PI control, known as fixed frequency control or hysteric current control [2], [3] the control engineering SFX-ADF [4], [5]; Delta modulation technic or Dead-Bead [9], [10]. The control problem of inner control loop is most interesting research topics and this topic has attracted a great deal of attention from scholars to improve the dynamic characteristic, compensate completely the harmonics, reduce the THD, minimize the oscillation of power networks caused by nonlinear loads etc.…”

Section: Introductionmentioning

confidence: 99%

“…coupling term between d and q axis. Assuming a three phase balanced power source, the removed, so the equation(9) becomes The current predictive model of the SAF at the time 1 k + can be obtained by solving equation(10) using the replacing 1 kk =+ .When modeling the predictive controller, the feedback signal should take into account the drift in the predictive model equations due to the nonlinear nature of SAF, we consider the error between real output currents of SAF need to be added to the output predictive currents to correct, we have the corrected output predictive currents at next discrete instance as where l is the correction coefficient. Next, use the objective function as:where ,xg are the weighting coefficient of the predictive error and the predictive control variable, respectively.…”

mentioning

confidence: 99%

Control Shunt Active Filter Based on dq Frame using Current Model Prediction

Danh¹,

Van²

2019

IJEEE

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The nonlinear loads present more in the power systems in the practice today by developing of electronic technology and using the small distributed power sources (solar power, wind power etc.…), this causes the increasing the high frequency switch devices etc. in the power network. Nonlinear loads cause non-sinusoidal currents and voltages with harmonic components, increasing the reactive power, overload of power lines and electrical devices, low power factor and affecting badly to the networks. Shunt active filters (SAF) with current controlled voltage source inverters (CCVSI) are used effectively to reduce the harmonics and to balance the phases sinusoidal source currents by generating the currents to compensate the harmonic currents caused by the nonlinear loads. In this paper we suppose a control strategy to generate the compensation currents of SAF by using the current model predictive engineering. This method is better than the control strategy using PI controller in term of transient time. The desired compensation currents can track exactly the reference compensation currents on the dq frame. The simulation results implemented on the nonlinear load, a full bridge rectifier and 3 phase unbalance load, show that the transient period decrease from 0.1s to 0.02s in comparing with PI controller. The experimental results proof that the THD of source currents decrease from 24.8% to 5.4% when using the proposed method.

show abstract

Comparison of performances of hysteresis and dead beat controllers in active power filtering

Cited by 7 publications

References 21 publications

Control shunt active filter based on dq frame using current model prediction

Control shunt active filter based on dq frame using current model prediction

Kalman Filters for Reference Current Generation in Shunt Active Power Filter (APF)

Control Shunt Active Filter Based on dq Frame using Current Model Prediction

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