Three-Phase Shunt Active Power Filter for Power Improvement Quality using Sliding Mode Controller

ABSTRACT:

In this paper, experimental study of Sliding Mode Controller (SMC) DC bus voltage of three phase shunt active power filter (APF), to improve power quality by compensating harmonics and reactive power required by nonlinear load is proposed. The algorithm used to identify the reference currents is based on the Self Tuning Filter (STF). For generation of the pulse switching of the IGBTs inverter the hysteresis current controller is used, implemented into an analogue card. Finally, various experimental results are presented under steady state and transient conditions.

KEYWORDS:

  1. Shunt Active Power Filter (APF)
  2. Total Harmonic Distortion (THD)
  3. Sliding Mode Controller (SMC)
  4. Self Tuning Filter (STF)

 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

 

Fig. 1: The basic compensation principle of the shunt APF.

 EXPECTED SIMULATION RESULTS:

 

 

Fig. 2. Experimental APF results: load current iL (A), filter current iF (A)

and source current iS (A). Ch1 to Ch4 scale: 5 A/div. Time scale: 20 ms/div.

 

Fig. 3. Experimental APF results: load current iL (A), filter current iF (A),

source current iS (A) and source voltage Vs (V). Ch1 and Ch3 scale: 5 A/div;

Ch2 scale: 100 V/div;Ch4 scale: 80 V/div; Time scale: 10 ms/div.

Figure 4. Experimental APF results : load current iL(A), filter current iF(A) ,

source current iS(A) and DC voltage Vdc(V). Ch1,Ch3 and Ch4 scale: 10

A/div. Ch2 scale: 100 V/div. Time scale: 20 ms/div.

Figure 5. Experimental APF results: DC voltage Vdc (V) and DC reference

voltage V*dc (V). Ch1 and Ch2 scale: 100 V/div. Time scale: 1s/div

CONCLUSION:

The control of the shunt Active Power Filter was divided in three parts, the first one realized by the dSPACE system to generate the reference currents, the second one achieved by an analogue card for the switching pattern generation, implementing a hysteresis current controller and the third party use a sliding mode controller SMC. A SMC controlled shunt active power filter has been studied to improve the power quality by compensating both harmonics and reactive power requirement of the nonlinear load. The performance of the SMC controller has been developed in real time process and successfully tested in the laboratory The results of experiment study of APF control technique presented in this paper are found quite satisfactory to eliminate harmonics and reactive power components from utility current. The shunt APF presented in this paper for the compensation of harmonic current components in non-linear load was effective for harmonic isolation and keeping the utility supply line current sinusoidal. The validity of this technique was proved on the basis of experiment results. The APF is found effective to meet IEEE- 519-1992 standard recommendations on harmonics levels.

REFERENCES:

[1] Chaoui; J.P.Gaubert; F.Krim; G.Champenois, “PI Controlled Threephase Shunt Active Power Filter for Power Quality Improvement” A. “Electric Power Components and Systems, 1532-5016, Volume 35, Issue 12, 2007, Pages 1331 – 1344.

[2] D. Benatous, R. Abdessemed, “Digital voltage control of AC/DC PWM Converter with improved power factor and supply current ”, Journal of electric machines and power systems, Taylor and francis, 2000.

[3] G. A. Capolino, A. Golea, H. Henao, “Système de réduction des perturbations réseau pour commande vectorielle ”, Proc. Colloque SEE Perturbations Réciproques des Convertisseurs et des Réseaux, Nantes, 6 juillet 1992.

[4] M. Abdusalam, P. Poure and S. Saadate,’’ A New control scheme of hybrid active filter using Self-Tuning Filter,’’ POWERENG, International Conference on Power Engineering , Energy and Electrical Drives, Setubal Portugal,12-14 April (2007).

[5] M. Abdusalam, P. Poure and S. Saadate, « Study and experimental +6validation of harmonic isolation based on Self-Tuning-Filter for threephase active filter ». ISIE, IEEE International Symposium on Industrial Electronics, Cambridge, UK, (2008).

 

Application of Artificial Neural Networks for Shunt Active Power Filter Control

 ABSTRACT:

 Artificial neural network (ANN) is becoming an attractive guess and reversion method in many control use due to its parallel computing nature and high learning capability. There has been a lot of effort in employing the ANN in shunt active power filter (APF) control use.

ADALINE

Adaptive Linear Neuron (ADALINE) and feed-forward multilayer neural network (MNN) are the most commonly used ANN method to extract fundamental and/or harmonic components present in the nonlinear currents. This paper aims to provide an in-depth understanding on manage ADALINE and feed-forward MNN-based control algorithms for shunt APF.

ANN

A step-by-step process to implement these ANN-based method in MATLAB/Simulink situation is supply. Furthermore, a detailed analysis on the work, limitation, and advantages of both methods is presented in the paper. The study is supported by conducting both simulation and experimental validations.

 

KEYWORDS:

  1. Adaptive Linear Neuron (ADALINE)
  2. Artificial neural network (ANN)
  3. Feed-forward multilayer neural network (MNN)
  4. Shunt active power filter (APF)

SOFTWARE: MATLAB/SIMULINK

CIRCUIT DIAGRAM:

image001

Fig. 1. Shunt APF system configuration.

CONTROL SYSTEM:

image002

Fig. 2. ADALINE used to extract the fundamental active load current amplitude.

image003

Fig. 3. Shunt APF control template using either MNN or ADALINE structures

SIMULATION RESULTS:

image004

Fig. 4. Dynamic performance of the feed-forward MNN shunt APF for a trained load scenario.

image005

Fig. 5. Dynamic performance of the feed-forwardMNNshunt APF for untrained load scenario.

image006

Fig. 6. Dynamic performance of the ADALINE shunt APF.

CONCLUSION:

In this paper, two broadly used ANN-based shunt APF control method are investigated: 1) the ADALINE; and 2) the feed forward MNN. A simple step-by-step process is provided to implement each method in MATLAB/Simulink situation.

LMS

The ADALINE is trained online by the LMS algorithm, while the MNN is trained offline using the SCG back procreation algorithm to extract the fundamental load active current magnitude. The work of these ANN-based shunt APF controllers is decide through detailed simulation and experimental studies.

MNN

Based on the study manage in this paper, it is noticed that the ADALINE-based control technique performs better than the feed-forward MNN. For untrained load scenario, the feed forward MNN fails to extract the fundamental component

PI

resulting in recompense from the dc-link PI regulator. On contrary, the online adaptiveness of ADALINE makes it applicable to any load condition.

 REFERENCES

[1] P. Kanjiya, V. Khadkikar, and H. H. Zeineldin, “A noniterative optimized algorithm for shunt active power filter under distorted and unbalanced supply voltages,” IEEE Trans. Ind. Electron., vol. 60, no. 12, pp.5376–5390, Dec. 2013.

[2] B. Singh, K. Al-Haddad, and A. Chandra, “A review of active filters for power quality improvement,” IEEE Trans. Ind. Electron., vol. 46, no. 5, pp. 960–971, Oct. 1999.

[3] M. Popescu, A. Bitoleanu, and V. Suru, “A DSP-based implementation of the p–q theory in active power filtering under nonideal voltage conditions,” IEEE Trans. Ind. Informat., vol. 9, no. 2, pp. 880–889, May 2013.

[4] V. Silva, J. G. Pinto, J. Cabral, J. L. Afonso, and A. Tavares, “Real time digital control system for a single-phase shunt active power filter,” in Proc. Conf. Rec. INDIN, 2012, pp. 869–874.

[5] A. Hamadi, S. Rahmani, and K. Al-Haddad, “Digital control of a shunt hybrid power filter adopting a nonlinear control approach,” IEEE Trans. Ind. Informat., vol. 9, no. 4, pp. 2092–2104, Nov. 2013.