SlideShare a Scribd company logo
1 of 9
Download to read offline
Indonesian Journal of Electrical Engineering and Computer Science
Vol. 21, No. 2, February 2021, pp. 714~722
ISSN: 2502-4752, DOI: 10.11591/ijeecs.v21.i2.pp714-722  714
Journal homepage: http://ijeecs.iaescore.com
Current model predictive control for three-phase active power
filter using cascaded H-bridge multilevel converter
Abdelkader Yousfi1
, Youcef Bot2
, Fayçal Mehedi3
, Abdelkader Chaker4
1,2
Department of Electrical Engineering, University Khemis Miliana, Algeria
3
Department of Electrical Engineering, Laboratoire LGEER, Hassiba Benbouali University Chlef, Algeria
4
Department of Electrical Engineering, E.N.P Oran, Oran, Algeria
Article Info ABSTRACT
Article history:
Received Apr 29, 2020
Revised Jun 15, 2020
Accepted Jun 27, 2020
Different technologies in particular in the medium and high-power
conversion were implemented and taken into consideration in the last few
years. These inverter topologies have been demonstrated to ensure the
generation of high-quality voltage waveforms based on power half-conductor
switches, which operate on the fundamental frequency. The multilevel
inverter H-bridge is a promising alternative among the available multi-level
inverter topologies. A predictional current control algorithm for multi-level
converters and use on a three-phase cascaded inverter H-bridge. This article
reports on a comparison of two check methods associated with a shunt active
power filter based on the cascaded inverter of the three-Level type. The first
approach is the traditional PI control unit and the second is the predictive
current control unit. The reference current for the shunt active power filter is
provided by the p-q control strategy for reactive power compensation and
current harmonics. The cascade-type three-level inverter has more
advantages over a two-leaved inverter; the simulation output of APF is
checked by MATLAB/Simulink. The predictive controlled the APF
associated with the three-level inverter shows more performances and
efficiency compared to the conventional control algorithms.
Keywords:
Cascaded H-bridge inverter
Harmonic
Model predictive control
Multilevel inverter
Shunt active power filter
This is an open access article under the CC BY-SA license.
Corresponding Author:
Yousfi Abdelkader
Department of Electrical Engineering
University Khemis Miliana
Algeria Street Thniet El Had Khemis Miliana-Ain Defla-Algeria
Email: yousfi_pg@yahoo.fr
1. INTRODUCTION
A lot of power electronics equipment is used in the new electrical power grid. These wide range of
power conversion systems, control electronics and nonlinear loads like adjustable speed driving, domestic
machinery, transformative saturation, etc. are responsible for increasing harmonics in the ac handles. Because
of ongoing technical and electronic equipment advances, the number of nonlinear loads is rising
exponentially, as the power system generates characteristics and non-characteristic harmonics. The invention
of thyristors led to the versatility for approximately two decades, but on the darker side, it brought harmony
to the device too. The development of thyristors has led to versatility over the last two decades, but on the
darker side harmonics have been also added to the device. These loads derive non-sinusoidal current from ac
power and degrade the output of the system [1-3]. The harmonic features can be eliminated by tuned filters,
while harmonics are the main problem to eradicate non-characteristics. The harmonics are non-characteristic
other than harmonics and do not fall within any order or equation. Therefore, filters for these types of
harmonics are often difficult to build. Many, some telephone interference, are adverse effects of these
Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752 
Current model predictive control for three phase active power filter using cascaded… (A.Yousfi)
715
harmonics. Further losses of core and copper and resonance voltage. There are different methods, primarily
active and passive filters, for removing these harmonics. Passive filters can easily be programmed to exclude
certain frequencies; other harmonics, particularly not traditional harmonics, need to be removed by using an
active power filter [4-6]. There are numerous control algorithms used in the Active power filter system to fire
the voltage source inverter. The reliability and efficiency of the APF system mainly depend on its control
algorithm. In modern electrical distribution systems, Shunt active power filter requires an accurate control
algorithm that ensures robust performance under the source and load imbalances [7-9].
This paper introduces a predictive current algorithm for multi-stage conversion and implementation
for a three-stage cascaded inverter H-bridge. This article contrasts the two approaches associated with a shunt
active power filter based on a three-stage cascaded inverter. The first procedure is based on the standard PI
regulator, and the second one is based on the current predictor. The shunt active power filter reference
current is created by using the p-q control strategy for the compensation for reactive power and current
harmonics. The three-stage form cascade inverter has more advantages than the bi-stage inverter, the
simulation results are tested using MATLAB/Simulink.
2. MULTILEVEL INVERTERS
In recent decades, multi-level transformers have been increased because of the advantages in high-quality
waveforms, low switching losses, high voltage capabilities and low electromagnetic compatibility problems they
are taken into consideration in many high voltage and power applications [10-11]. The basic concept of multi-level
converters is to combine many levels of voltage and to generate a sinusoidal voltage. By increasing in numbers, the
synthesized output waveform provides additional steps, generating a series of wave steps that have a minimum
harmonic distortion in the sinusoidal wave [12-13]. For instance, it can move between the n levels in the
generalized n-level inverter as shown in Figure 1(a) and (b). Although there are different types of multilevel
topologies, each of them has a unique topological layout. There are usually four major groups. The four types of
flight condenser, hybrid H-bridge and multilevel hybrid inverters are widely recognized.
(a) (b)
Figure 1. (a) Simplified circuit of a n-level converter, (b) generated output n-level voltage
3. CASCADED H-BRIDGE THREE-LEVEL INVERTER
Several single full-bridge inverter units were included in the H-bridge cascaded multilevel inverter.
Each bridge was fed with its dc source, which includes batteries, PV cells or any dc. Each bridge’s output can
be added to generate near-sine voltage waveform for the nth level of the multi-level inverter H-bridge
Cascade per complete bridge inverter which forms the three-level cascaded H-bridge inverter with separate
dc. Four semi-conductor switches can generate, depending on switching state, three different voltage levels
namely+vdc, 0 and–vdc. Each turn always carries 180 degrees or half a loop, no matter how big the pulse of
the quasi-quadrant wave is so that the current stress in each part can be compensated for by that method [14-
15]. The three-level cascading H-bridge inverter is displayed in Figure 2. At a certain amount of time each
H-bridge was triggered in a different starting angle and because each bridge was supplied with a separate dc
source, the output for all three levels cascading H-bridge inverter output was the sum of three-level cascading
three-level H-bridge inverter inputs of a different dc source [16]. The following is an output (1-3). From the
above equation, the output voltage of the multilevel inverter cascaded H-bridge is the sum of the dc sources
on the multilevel inverter. The Fourier bridge series as shown in 4 can be used to construct multi-level
voltage waveforms as in Figure 3 [17-18].
 ISSN: 2502-4752
Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722
716
Figure 2. Three levels cascaded H-bridge inverter
Figure 3. Staircase voltage waveform for single-phase three-level inverter [16]
(1)
(2)
(3)
( ) ∑ ( ) (4)
4. PREDICTIVE CONTROLLER WITH CASCAD H-BRIDGE THREE-LEVEL INVERTER
Two primary control components of the shunt active power filter (SAPF) system are present here.
The first is the harmonic extraction method based on the standard regulator PI and the second is the current
predictive control. Figure 4 show the overall control strategy block diagram. The output signal of a filter
relative to a reference voltage is used as an input to the predictive control, the resulting signals are given by a
three-level inverter. The predictive output is processed by carrier modules with the aid of a comparator to
produce a switching signal [19-20].
Figure 4. The general block diagram of the predictive control strategy
Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752 
Current model predictive control for three phase active power filter using cascaded… (A.Yousfi)
717
This predictive control strategy is based on the search for the perfect control vector, which requires
first of all the analysis of the variations in the application of each control vector to load absorbed currents,
during a time interval equal to the switching period [21-23]. The equation of APF shunt current, output
voltage and the typical CCP voltage is shown in Figure 5 as [24-25]. In this case, the equation shows:
(5)
If is the interfacing inductance, represents phases or , , the output voltage APF in the
phase and the common point of connection (CCP) phase voltage, and the APF current phase [24-25].
The resistance to the inductor is dismissed. In the discrete form, (5) can be defined as:
( ) (
( ) ( )
) (6)
For those cases where the phase APF current and its expected output voltage referrals are ( )
and ( ), the sampling time is sampled at the sampling moment ( ) and . Using the common
coupling point (CCP) of Kirchhoff's current law:
( ) ( ) ( ) (7)
Where the process load and deliver current are ( ) and ( ) at the sampling instant ( ),
respectively. As there is no instant sampling ( ), ( ) has been replaced with ( ). This results in
a time delay that is decreased as the amount of sampling increases. The shunt APF reference current can be
specified as:
( ) ( ) ( ) (8)
Substituting (7) and (8) into (6) gives:
( ) (
( ) ( )
) ( ) (9)
(9) refers to the predicted output voltage of the inverter in reference and current supply currents. The
block diagram for controlling the shunt APF using predictive control, based on three-level inverter is
simulated using MATLAB/Simulink is shown in Figure 5.
Figure 5. Predictive current control of the APF
 ISSN: 2502-4752
Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722
718
5. SIMULATION RESULTS
The Figure 6, Figure 7, and Figure 8 are indicate the supply and load current voltage before
compensation.
Figure 6. Supply voltages
Figure 7. Load current
Figure 8. Frequency spectrum
5.1. Results and discussion of the APF based on the PI controller
The findings from the previous results show the efficiency of the shunt APF associated with the PI
controller based on three-stage inverters. The gross harmonic distortion of the source current (THD) has been
reduced to 2.67% as shown in Figure 9. The source current is also similar to the sinusoidal shape as shown in
Figure 10, with a balanced network (t=0.15s) measured on the APF. Injected current and reference current as
shown in Figure 11. The instantaneous active energy at the source side is also necessary to remember,
depending on the magnitude of the source stress, and the imaginary power is pushed to zero as shown in
Figure 12. This results in the effective compensation of the reactive force. Since reactive power is not
involved in the transfer of active energy, the phase current may be increased. The reactive power can be
reduced to zero, it is possible to minimize the current flowing at the source side and the power factor is a
unity see Figure 13.
Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752 
Current model predictive control for three phase active power filter using cascaded… (A.Yousfi)
719
Figure 9. Frequency spectrum
Figure 10. Supply current
Figure 11. Injected current and reference current
Figure 12. Active and reactive power
 ISSN: 2502-4752
Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722
720
Figure 13. Supply current and supply voltages
5.2. Results and discussion of the APF based on the predictive controller
These figures show the injected current and its reference; the source current and its frequency
spectrum and finally the active and the reactive power. A THD calculation of the output voltage was carried
out concerning Table 1. Predictive control is a quite common class of controls that have been used in power
converters very recently. The performance of the shunt APF associated with the predictive controller, based
on three-level inverter is illustrated through the previous results as shown in Figure 14-18. To observe further
the performance of this filter, it is necessary to carry out the simulation under balanced network condition.
The THD of the source current is reduced to 1.56%, compared with the conventional PI controller (2.67%).
The active instantaneous force on the source side depends on the source voltage value and the imaginary
force with one uniform power factor (cos phi=1) is a force to zero ( 0 VAR). Simulation tests show that the
APF shunt associated with the current predictor contributes to higher output than the PI transmitter. The tests
obtained from predictive testing verified the positive results.
Table 1. Comparison of controller performance
Controllers THD%
PI 2.67
Predictive 1.56
Figure 14. Supply current
Figure 15. Frequency spectrum
Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752 
Current model predictive control for three phase active power filter using cascaded… (A.Yousfi)
721
Figure 16. Injected current and reference current
Figure 17. Supply current and supply voltages
Figure 18. Active and reactive power
6. CONCLUSION
This paper uses a three-phase three-level H-Bridge inverter to control the load current, using the
current predictive model. Where, in the first place, the ideal set of possible switching states is chos to the
number of users switching indicates the device pressure, based on current redundancies. A comparative
analysis of two control methods, linked to an APF shunt, based on a cascaded inverter form of three-stage.
The first approach is based on the traditional PI control and the second is based on the current predictor.
MATLAB/SIMULINK is deployed for the systems proposed. Modelling of the APF with three cascading
levels and the efficient control design is presented. A robust current predictor is available that shows
excellent dynamic and stable accuracy. The APF performance is tested with MATLAB/Simulink simulation.
Compared to conventional control algorithms, the APF predictive associated with the inverter of three- levels
shows greater efficiency and performance.
 ISSN: 2502-4752
Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722
722
REFERENCES
[1] W. Mack grady, S. Santoso, “Understanding power system harmonics,” IEEE power Eng. Rev. 21(November (11)),
pp. 8-11, 2001.
[2] Garima Sinha, Pankaj kumar Goswami, Sudhir kr. Sharma, “Harmonic Mitigation for Non-Linear Load using TSH
Active Power Filter with PID Controller,” International Journal of Applied Power Engineering (IJAPE), ISSN:
2252-8792, vol. 7, no. 2, pp. 159-165, 2018.
[3] K. G. Firouzjah, A. Sheikholeslam, “A High Performance Technique in Harmonic Omitting Based on Predictive
Current Control of a Shunt Active Power Filter,” International Journal of Electrical and Computer Engineering,
vol. 3, no. 16, 2008.
[4] B. Singh, A. Chandra, and K. Al-Haddad, “Computer-aided modeling and simulation of active power filters,” Elect,
Mach.power Syst., vol. 27, pp. 1227-1241, 1999.
[5] T. Rajesh, S. Aravindhan, M. Sowmiya, S. Thenmozhi, “Design of Shunt Active Filter for Reduction of
Harmonics,” International Journal of Engineering Science and Computing, 2016.
[6] Moh. Jauhari, Dedet Candra Riawan, Mochamad Ashari, “Control Design For Shunt Active Power Filter Based On
p-q Theory In Photovoltaic Grid-Connected System,” International Journal of Power Electronics and Drive System
(IJPEDS), vol. 9, no. 3, pp. 1064-1071, 2018.
[7] Y. Kusuma Latha, Ch. Saibabu, Y. P. Obulesh, “Control Strategy for Three Phase Shunt Active Power Filter with
Minimum Current Measurements,” International Journal of Electrical and Computer Engineering (IJECE), vol. 1,
no. 1, pp. 31-42, 2011.
[8] J. Rodriguez, M. P. Kazmierkowski, J. R. Espinoza, P Zanchetta, H Abu-Rub, H. A. Young, and C. A. Rojas,
“State of the Art of Finite Control Set Model Predictive Control in Power Electronics,” IEEE Transactions on
Industrial Informatics, vol. 9, no. 2, pp. 1003-1016, 2013.
[9] A. Fahmy, M. S. Hamad, A. K. Abdelsalam and A. Lotfy, “Power quality improvement in three-phase four-wire
system using a shunt APF with predictive current control,” IECON 2012-38th Annual Conference on IEEE
Industrial Electronics Society, Montreal, QC, pp. 668-673, 2012. doi: 10.1109/IECON.2012.6388748.
[10] Anjali Krishna R and Dr L Padma Suresh, “A Brief Review on Multi Level Inverter Topologies,” International
Conference on Circuit, Power and Computing Technologies, 2016.
[11] E. Babaei and S. H. Hosseini, “New cascaded multilevel inverter topology with minimum number of switches,” J.
Energy Convers. Manag. vol. 50, no. 11, pp. 2761-2767, 2009.
[12] Sanjeevikumar P., “Analysis and Implementation of Multiphase Multilevel Inverter for OpenWinding Loads,”
University of Bologna, Italy, 2012.
[13] McGrath, Brendan Peter, Donald Grahame Holmes, “Multicarrier PWM strategies for multilevel inverters,”
Industrial Electronics, IEEE Transactions on., vol. 49, no. 4, pp. 858-867, 2002.
[14] Keith C., “Operation and design of multilevel inverters,” Developed for the office of naval research, pp. 1-79, 2003.
[15] Rueger Niklas E., Kuhn H., Mertens A., “Harmonic distortion of multicarrier PWM strategies in cascaded
multilevel converters with unequal DC sources. Power Electronics and Applications,” European Conference on
IEEE, 2007.
[16] Mohd Ruddin Ab Ghani, Nabil Farah, Jurifa Lazi, M.R.Tamjis, Md Nazri Othman, Nur Huda Mohd Amin,
Syariffah Othman, Zanariah Jano, Tole Sutikno, “Investigation Study of Three-Level Cascaded H-bridge Multilevel
Inverter,” TELKOMNIKA, vol.15, no.1, pp. 125-137, 2017.
[17] Parkash Aman, Shimi SL, Chatterji S, “Harmonics Elimination in Cascade Multilevel Inverters Using Newton-
Raphson and Genetic Algorithm,” International Journal for Scientific Research & Development (IJSRD), pp. 236-
239, 2014.
[18] N. A Azli, Member IEEE and Y. C. Choong, “Analysis on the Performance of a Three-phase Cascaded H-Bridge
Multilevel Inverter,” First International Power and Energy Coference, November 28-29, Putrajaya, Malaysia,
2006.
[19] C. A. Rojas, J. Rodriguez, F. Villarroel, J. R. Espinoza, “Predictive torque and control without weighting factors,”
IEEE Transactions on Industrial Electronics, vol. 60, no. 2, pp. 681-690, 2013.
[20] S. Vazquez, J. Leon, L. Franquelo, J. Rodriguez, H. Young, A. Marquez, and P. Zanchetta, “Model predictive
control: A review of its applications in power electronics,” IEEE Industrial Electronics Magazine, vol. 8, no. 1, pp.
1631, 2014.
[21] R. Panigrahi, Bidyadhar Subudhi, Prafulla Chandra Panda, “Model predictive-based shunt active power filter with a
new reference current estimation strategy,” IET Power Electronics, vol. 8, no. 2, pp. 221-233, 2015.
[22] J. Rodriguez, et al., “Commande Prédictive current control of a voltage source inverte,” IEEE transaction on
industrial electronics, vol. 54, no. 1, 2007.
[23] Atif Iqbal, Shaikh Moinoddin, Khaliqur Rahman, “Finite State Predictive Current and Common Mode Voltage
Control of a Seven-phase Voltage Source Inverter,” International Journal of Power Electronics and Drive System
(IJPEDS), vol. 6, no. 3, pp. 459-476, 2015.
[24] S. Vazquez, C. Montero, C. Bordons, and L. Franquelo, “Model predictive control of a VSI with long prediction
horizon,” in IEEE International Symposium on Industrial Electronics (ISIE), pp. 1805-1810, 2011.
[25] S. Kouro, P. Cortés, R. Vargas, U. Ammann, and J. Rodríguez, “Model predictive control-a simple and powerful
method to control power converters,” IEEE Transactions on Industrial Electronics, vol. 56, no. 6, pp. 1826-1838,
2009.

More Related Content

Similar to Current model predictive control for three-phase active power filter using cascaded H-bridge multilevel converter

Power loss analysis of current-modules based multilevel current-source power ...
Power loss analysis of current-modules based multilevel current-source power ...Power loss analysis of current-modules based multilevel current-source power ...
Power loss analysis of current-modules based multilevel current-source power ...TELKOMNIKA JOURNAL
 
Cascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM Strategies
Cascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM StrategiesCascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM Strategies
Cascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM StrategiesIJERA Editor
 
Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...
Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...
Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...IJPEDS-IAES
 
Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...
Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...
Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...IJMER
 
Single-phase transformerless inverter topologies at different levels for a p...
Single-phase transformerless inverter topologies at different  levels for a p...Single-phase transformerless inverter topologies at different  levels for a p...
Single-phase transformerless inverter topologies at different levels for a p...IJECEIAES
 
A comparative study of cascaded h bridge and reversing voltage multilevel inv...
A comparative study of cascaded h bridge and reversing voltage multilevel inv...A comparative study of cascaded h bridge and reversing voltage multilevel inv...
A comparative study of cascaded h bridge and reversing voltage multilevel inv...IAEME Publication
 
An Overview of Different Multi-level Inverters
An Overview of Different Multi-level InvertersAn Overview of Different Multi-level Inverters
An Overview of Different Multi-level Inverterspaperpublications3
 
A New Multilevel Inverter Structure For High-Power Applications using Multi-c...
A New Multilevel Inverter Structure For High-Power Applications using Multi-c...A New Multilevel Inverter Structure For High-Power Applications using Multi-c...
A New Multilevel Inverter Structure For High-Power Applications using Multi-c...IJPEDS-IAES
 
Stand alone regulated single phase five level inverter with coupled inductor
Stand alone regulated single phase five level inverter with coupled inductorStand alone regulated single phase five level inverter with coupled inductor
Stand alone regulated single phase five level inverter with coupled inductorIAEME Publication
 
A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...
A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...
A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...IAES-IJPEDS
 
3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...
3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...
3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...EditorJST
 
Application of Backstepping to the Virtual Flux Direct Power Control of Five-...
Application of Backstepping to the Virtual Flux Direct Power Control of Five-...Application of Backstepping to the Virtual Flux Direct Power Control of Five-...
Application of Backstepping to the Virtual Flux Direct Power Control of Five-...IJPEDS-IAES
 
A photovoltaic integrated unified power quality conditioner with a 27-level i...
A photovoltaic integrated unified power quality conditioner with a 27-level i...A photovoltaic integrated unified power quality conditioner with a 27-level i...
A photovoltaic integrated unified power quality conditioner with a 27-level i...TELKOMNIKA JOURNAL
 
Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...
Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...
Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...IJERA Editor
 

Similar to Current model predictive control for three-phase active power filter using cascaded H-bridge multilevel converter (20)

E010243540
E010243540E010243540
E010243540
 
Power loss analysis of current-modules based multilevel current-source power ...
Power loss analysis of current-modules based multilevel current-source power ...Power loss analysis of current-modules based multilevel current-source power ...
Power loss analysis of current-modules based multilevel current-source power ...
 
Cascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM Strategies
Cascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM StrategiesCascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM Strategies
Cascaded H-Bridge Multilevel Inverter Using SPWM and MSPWM Strategies
 
Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...
Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...
Simulation and dSPACE Based Implementation of Various PWM Strategies for a Ne...
 
X33128132
X33128132X33128132
X33128132
 
A high-performance multilevel inverter with reduced power electronic devices
A high-performance multilevel inverter with reduced power electronic devicesA high-performance multilevel inverter with reduced power electronic devices
A high-performance multilevel inverter with reduced power electronic devices
 
Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...
Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...
Performance Evaluation of Nine Level Modified CHB Multilevel Inverter for Var...
 
Single-phase transformerless inverter topologies at different levels for a p...
Single-phase transformerless inverter topologies at different  levels for a p...Single-phase transformerless inverter topologies at different  levels for a p...
Single-phase transformerless inverter topologies at different levels for a p...
 
A comparative study of cascaded h bridge and reversing voltage multilevel inv...
A comparative study of cascaded h bridge and reversing voltage multilevel inv...A comparative study of cascaded h bridge and reversing voltage multilevel inv...
A comparative study of cascaded h bridge and reversing voltage multilevel inv...
 
An Overview of Different Multi-level Inverters
An Overview of Different Multi-level InvertersAn Overview of Different Multi-level Inverters
An Overview of Different Multi-level Inverters
 
I41045662
I41045662I41045662
I41045662
 
A New Multilevel Inverter Structure For High-Power Applications using Multi-c...
A New Multilevel Inverter Structure For High-Power Applications using Multi-c...A New Multilevel Inverter Structure For High-Power Applications using Multi-c...
A New Multilevel Inverter Structure For High-Power Applications using Multi-c...
 
Stand alone regulated single phase five level inverter with coupled inductor
Stand alone regulated single phase five level inverter with coupled inductorStand alone regulated single phase five level inverter with coupled inductor
Stand alone regulated single phase five level inverter with coupled inductor
 
Comparison of Multicarrier PWM Techniques for Cascaded H-Bridge Multilevel In...
Comparison of Multicarrier PWM Techniques for Cascaded H-Bridge Multilevel In...Comparison of Multicarrier PWM Techniques for Cascaded H-Bridge Multilevel In...
Comparison of Multicarrier PWM Techniques for Cascaded H-Bridge Multilevel In...
 
A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...
A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...
A Simple Strategy of Controlling a Balanced Voltage Capacitor in Single Phase...
 
Implementation on the dSPACE 1104 of VOC-SVM based anti-windup PI Controller ...
Implementation on the dSPACE 1104 of VOC-SVM based anti-windup PI Controller ...Implementation on the dSPACE 1104 of VOC-SVM based anti-windup PI Controller ...
Implementation on the dSPACE 1104 of VOC-SVM based anti-windup PI Controller ...
 
3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...
3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...
3. simulation of 11 level hybrid cascade stack (hcs) inverter with reduced nu...
 
Application of Backstepping to the Virtual Flux Direct Power Control of Five-...
Application of Backstepping to the Virtual Flux Direct Power Control of Five-...Application of Backstepping to the Virtual Flux Direct Power Control of Five-...
Application of Backstepping to the Virtual Flux Direct Power Control of Five-...
 
A photovoltaic integrated unified power quality conditioner with a 27-level i...
A photovoltaic integrated unified power quality conditioner with a 27-level i...A photovoltaic integrated unified power quality conditioner with a 27-level i...
A photovoltaic integrated unified power quality conditioner with a 27-level i...
 
Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...
Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...
Power Quality Improvement Using Cascaded H-Bridge Multilevel Inverter Based D...
 

More from nooriasukmaningtyas

A deep learning approach based on stochastic gradient descent and least absol...
A deep learning approach based on stochastic gradient descent and least absol...A deep learning approach based on stochastic gradient descent and least absol...
A deep learning approach based on stochastic gradient descent and least absol...nooriasukmaningtyas
 
Automated breast cancer detection system from breast mammogram using deep neu...
Automated breast cancer detection system from breast mammogram using deep neu...Automated breast cancer detection system from breast mammogram using deep neu...
Automated breast cancer detection system from breast mammogram using deep neu...nooriasukmaningtyas
 
Max stable set problem to found the initial centroids in clustering problem
Max stable set problem to found the initial centroids in clustering problemMax stable set problem to found the initial centroids in clustering problem
Max stable set problem to found the initial centroids in clustering problemnooriasukmaningtyas
 
Intelligent aquaculture system for pisciculture simulation using deep learnin...
Intelligent aquaculture system for pisciculture simulation using deep learnin...Intelligent aquaculture system for pisciculture simulation using deep learnin...
Intelligent aquaculture system for pisciculture simulation using deep learnin...nooriasukmaningtyas
 
Effective task scheduling algorithm in cloud computing with quality of servic...
Effective task scheduling algorithm in cloud computing with quality of servic...Effective task scheduling algorithm in cloud computing with quality of servic...
Effective task scheduling algorithm in cloud computing with quality of servic...nooriasukmaningtyas
 
Fixed point theorem between cone metric space and quasi-cone metric space
Fixed point theorem between cone metric space and quasi-cone metric spaceFixed point theorem between cone metric space and quasi-cone metric space
Fixed point theorem between cone metric space and quasi-cone metric spacenooriasukmaningtyas
 
Design of an environmental management information system for the Universidad ...
Design of an environmental management information system for the Universidad ...Design of an environmental management information system for the Universidad ...
Design of an environmental management information system for the Universidad ...nooriasukmaningtyas
 
K-NN supervised learning algorithm in the predictive analysis of the quality ...
K-NN supervised learning algorithm in the predictive analysis of the quality ...K-NN supervised learning algorithm in the predictive analysis of the quality ...
K-NN supervised learning algorithm in the predictive analysis of the quality ...nooriasukmaningtyas
 
Systematic literature review on university website quality
Systematic literature review on university website qualitySystematic literature review on university website quality
Systematic literature review on university website qualitynooriasukmaningtyas
 
An intelligent irrigation system based on internet of things (IoT) to minimiz...
An intelligent irrigation system based on internet of things (IoT) to minimiz...An intelligent irrigation system based on internet of things (IoT) to minimiz...
An intelligent irrigation system based on internet of things (IoT) to minimiz...nooriasukmaningtyas
 
Enhancement of observability using Kubernetes operator
Enhancement of observability using Kubernetes operatorEnhancement of observability using Kubernetes operator
Enhancement of observability using Kubernetes operatornooriasukmaningtyas
 
Customer churn analysis using XGBoosted decision trees
Customer churn analysis using XGBoosted decision treesCustomer churn analysis using XGBoosted decision trees
Customer churn analysis using XGBoosted decision treesnooriasukmaningtyas
 
Smart solution for reducing COVID-19 risk using internet of things
Smart solution for reducing COVID-19 risk using internet of thingsSmart solution for reducing COVID-19 risk using internet of things
Smart solution for reducing COVID-19 risk using internet of thingsnooriasukmaningtyas
 
Development of computer-based learning system for learning behavior analytics
Development of computer-based learning system for learning behavior analyticsDevelopment of computer-based learning system for learning behavior analytics
Development of computer-based learning system for learning behavior analyticsnooriasukmaningtyas
 
Efficiency of hybrid algorithm for COVID-19 online screening test based on it...
Efficiency of hybrid algorithm for COVID-19 online screening test based on it...Efficiency of hybrid algorithm for COVID-19 online screening test based on it...
Efficiency of hybrid algorithm for COVID-19 online screening test based on it...nooriasukmaningtyas
 
Comparative study of low power wide area network based on internet of things ...
Comparative study of low power wide area network based on internet of things ...Comparative study of low power wide area network based on internet of things ...
Comparative study of low power wide area network based on internet of things ...nooriasukmaningtyas
 
Fog attenuation penalty analysis in terrestrial optical wireless communicatio...
Fog attenuation penalty analysis in terrestrial optical wireless communicatio...Fog attenuation penalty analysis in terrestrial optical wireless communicatio...
Fog attenuation penalty analysis in terrestrial optical wireless communicatio...nooriasukmaningtyas
 
An approach for slow distributed denial of service attack detection and allev...
An approach for slow distributed denial of service attack detection and allev...An approach for slow distributed denial of service attack detection and allev...
An approach for slow distributed denial of service attack detection and allev...nooriasukmaningtyas
 
Design and simulation double Ku-band Vivaldi antenna
Design and simulation double Ku-band Vivaldi antennaDesign and simulation double Ku-band Vivaldi antenna
Design and simulation double Ku-band Vivaldi antennanooriasukmaningtyas
 
Coverage enhancements of vehicles users using mobile stations at 5G cellular ...
Coverage enhancements of vehicles users using mobile stations at 5G cellular ...Coverage enhancements of vehicles users using mobile stations at 5G cellular ...
Coverage enhancements of vehicles users using mobile stations at 5G cellular ...nooriasukmaningtyas
 

More from nooriasukmaningtyas (20)

A deep learning approach based on stochastic gradient descent and least absol...
A deep learning approach based on stochastic gradient descent and least absol...A deep learning approach based on stochastic gradient descent and least absol...
A deep learning approach based on stochastic gradient descent and least absol...
 
Automated breast cancer detection system from breast mammogram using deep neu...
Automated breast cancer detection system from breast mammogram using deep neu...Automated breast cancer detection system from breast mammogram using deep neu...
Automated breast cancer detection system from breast mammogram using deep neu...
 
Max stable set problem to found the initial centroids in clustering problem
Max stable set problem to found the initial centroids in clustering problemMax stable set problem to found the initial centroids in clustering problem
Max stable set problem to found the initial centroids in clustering problem
 
Intelligent aquaculture system for pisciculture simulation using deep learnin...
Intelligent aquaculture system for pisciculture simulation using deep learnin...Intelligent aquaculture system for pisciculture simulation using deep learnin...
Intelligent aquaculture system for pisciculture simulation using deep learnin...
 
Effective task scheduling algorithm in cloud computing with quality of servic...
Effective task scheduling algorithm in cloud computing with quality of servic...Effective task scheduling algorithm in cloud computing with quality of servic...
Effective task scheduling algorithm in cloud computing with quality of servic...
 
Fixed point theorem between cone metric space and quasi-cone metric space
Fixed point theorem between cone metric space and quasi-cone metric spaceFixed point theorem between cone metric space and quasi-cone metric space
Fixed point theorem between cone metric space and quasi-cone metric space
 
Design of an environmental management information system for the Universidad ...
Design of an environmental management information system for the Universidad ...Design of an environmental management information system for the Universidad ...
Design of an environmental management information system for the Universidad ...
 
K-NN supervised learning algorithm in the predictive analysis of the quality ...
K-NN supervised learning algorithm in the predictive analysis of the quality ...K-NN supervised learning algorithm in the predictive analysis of the quality ...
K-NN supervised learning algorithm in the predictive analysis of the quality ...
 
Systematic literature review on university website quality
Systematic literature review on university website qualitySystematic literature review on university website quality
Systematic literature review on university website quality
 
An intelligent irrigation system based on internet of things (IoT) to minimiz...
An intelligent irrigation system based on internet of things (IoT) to minimiz...An intelligent irrigation system based on internet of things (IoT) to minimiz...
An intelligent irrigation system based on internet of things (IoT) to minimiz...
 
Enhancement of observability using Kubernetes operator
Enhancement of observability using Kubernetes operatorEnhancement of observability using Kubernetes operator
Enhancement of observability using Kubernetes operator
 
Customer churn analysis using XGBoosted decision trees
Customer churn analysis using XGBoosted decision treesCustomer churn analysis using XGBoosted decision trees
Customer churn analysis using XGBoosted decision trees
 
Smart solution for reducing COVID-19 risk using internet of things
Smart solution for reducing COVID-19 risk using internet of thingsSmart solution for reducing COVID-19 risk using internet of things
Smart solution for reducing COVID-19 risk using internet of things
 
Development of computer-based learning system for learning behavior analytics
Development of computer-based learning system for learning behavior analyticsDevelopment of computer-based learning system for learning behavior analytics
Development of computer-based learning system for learning behavior analytics
 
Efficiency of hybrid algorithm for COVID-19 online screening test based on it...
Efficiency of hybrid algorithm for COVID-19 online screening test based on it...Efficiency of hybrid algorithm for COVID-19 online screening test based on it...
Efficiency of hybrid algorithm for COVID-19 online screening test based on it...
 
Comparative study of low power wide area network based on internet of things ...
Comparative study of low power wide area network based on internet of things ...Comparative study of low power wide area network based on internet of things ...
Comparative study of low power wide area network based on internet of things ...
 
Fog attenuation penalty analysis in terrestrial optical wireless communicatio...
Fog attenuation penalty analysis in terrestrial optical wireless communicatio...Fog attenuation penalty analysis in terrestrial optical wireless communicatio...
Fog attenuation penalty analysis in terrestrial optical wireless communicatio...
 
An approach for slow distributed denial of service attack detection and allev...
An approach for slow distributed denial of service attack detection and allev...An approach for slow distributed denial of service attack detection and allev...
An approach for slow distributed denial of service attack detection and allev...
 
Design and simulation double Ku-band Vivaldi antenna
Design and simulation double Ku-band Vivaldi antennaDesign and simulation double Ku-band Vivaldi antenna
Design and simulation double Ku-band Vivaldi antenna
 
Coverage enhancements of vehicles users using mobile stations at 5G cellular ...
Coverage enhancements of vehicles users using mobile stations at 5G cellular ...Coverage enhancements of vehicles users using mobile stations at 5G cellular ...
Coverage enhancements of vehicles users using mobile stations at 5G cellular ...
 

Recently uploaded

Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
Electronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfElectronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfme23b1001
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
pipeline in computer architecture design
pipeline in computer architecture  designpipeline in computer architecture  design
pipeline in computer architecture designssuser87fa0c1
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHC Sai Kiran
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
Study on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube ExchangerAnamika Sarkar
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoĂŁo Esperancinha
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
EduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIEduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIkoyaldeepu123
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfROCENODodongVILLACER
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 

Recently uploaded (20)

POWER SYSTEMS-1 Complete notes examples
POWER SYSTEMS-1 Complete notes  examplesPOWER SYSTEMS-1 Complete notes  examples
POWER SYSTEMS-1 Complete notes examples
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
Electronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdfElectronically Controlled suspensions system .pdf
Electronically Controlled suspensions system .pdf
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
pipeline in computer architecture design
pipeline in computer architecture  designpipeline in computer architecture  design
pipeline in computer architecture design
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
Introduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECHIntroduction to Machine Learning Unit-3 for II MECH
Introduction to Machine Learning Unit-3 for II MECH
 
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
VICTOR MAESTRE RAMIREZ - Planetary Defender on NASA's Double Asteroid Redirec...
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
Study on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube ExchangerStudy on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube Exchanger
Study on Air-Water & Water-Water Heat Exchange in a Finned ďťżTube Exchanger
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
EduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AIEduAI - E learning Platform integrated with AI
EduAI - E learning Platform integrated with AI
 
Risk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdfRisk Assessment For Installation of Drainage Pipes.pdf
Risk Assessment For Installation of Drainage Pipes.pdf
 
Design and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdfDesign and analysis of solar grass cutter.pdf
Design and analysis of solar grass cutter.pdf
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 

Current model predictive control for three-phase active power filter using cascaded H-bridge multilevel converter

  • 1. Indonesian Journal of Electrical Engineering and Computer Science Vol. 21, No. 2, February 2021, pp. 714~722 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v21.i2.pp714-722  714 Journal homepage: http://ijeecs.iaescore.com Current model predictive control for three-phase active power filter using cascaded H-bridge multilevel converter Abdelkader Yousfi1 , Youcef Bot2 , Fayçal Mehedi3 , Abdelkader Chaker4 1,2 Department of Electrical Engineering, University Khemis Miliana, Algeria 3 Department of Electrical Engineering, Laboratoire LGEER, Hassiba Benbouali University Chlef, Algeria 4 Department of Electrical Engineering, E.N.P Oran, Oran, Algeria Article Info ABSTRACT Article history: Received Apr 29, 2020 Revised Jun 15, 2020 Accepted Jun 27, 2020 Different technologies in particular in the medium and high-power conversion were implemented and taken into consideration in the last few years. These inverter topologies have been demonstrated to ensure the generation of high-quality voltage waveforms based on power half-conductor switches, which operate on the fundamental frequency. The multilevel inverter H-bridge is a promising alternative among the available multi-level inverter topologies. A predictional current control algorithm for multi-level converters and use on a three-phase cascaded inverter H-bridge. This article reports on a comparison of two check methods associated with a shunt active power filter based on the cascaded inverter of the three-Level type. The first approach is the traditional PI control unit and the second is the predictive current control unit. The reference current for the shunt active power filter is provided by the p-q control strategy for reactive power compensation and current harmonics. The cascade-type three-level inverter has more advantages over a two-leaved inverter; the simulation output of APF is checked by MATLAB/Simulink. The predictive controlled the APF associated with the three-level inverter shows more performances and efficiency compared to the conventional control algorithms. Keywords: Cascaded H-bridge inverter Harmonic Model predictive control Multilevel inverter Shunt active power filter This is an open access article under the CC BY-SA license. Corresponding Author: Yousfi Abdelkader Department of Electrical Engineering University Khemis Miliana Algeria Street Thniet El Had Khemis Miliana-Ain Defla-Algeria Email: yousfi_pg@yahoo.fr 1. INTRODUCTION A lot of power electronics equipment is used in the new electrical power grid. These wide range of power conversion systems, control electronics and nonlinear loads like adjustable speed driving, domestic machinery, transformative saturation, etc. are responsible for increasing harmonics in the ac handles. Because of ongoing technical and electronic equipment advances, the number of nonlinear loads is rising exponentially, as the power system generates characteristics and non-characteristic harmonics. The invention of thyristors led to the versatility for approximately two decades, but on the darker side, it brought harmony to the device too. The development of thyristors has led to versatility over the last two decades, but on the darker side harmonics have been also added to the device. These loads derive non-sinusoidal current from ac power and degrade the output of the system [1-3]. The harmonic features can be eliminated by tuned filters, while harmonics are the main problem to eradicate non-characteristics. The harmonics are non-characteristic other than harmonics and do not fall within any order or equation. Therefore, filters for these types of harmonics are often difficult to build. Many, some telephone interference, are adverse effects of these
  • 2. Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  Current model predictive control for three phase active power filter using cascaded… (A.Yousfi) 715 harmonics. Further losses of core and copper and resonance voltage. There are different methods, primarily active and passive filters, for removing these harmonics. Passive filters can easily be programmed to exclude certain frequencies; other harmonics, particularly not traditional harmonics, need to be removed by using an active power filter [4-6]. There are numerous control algorithms used in the Active power filter system to fire the voltage source inverter. The reliability and efficiency of the APF system mainly depend on its control algorithm. In modern electrical distribution systems, Shunt active power filter requires an accurate control algorithm that ensures robust performance under the source and load imbalances [7-9]. This paper introduces a predictive current algorithm for multi-stage conversion and implementation for a three-stage cascaded inverter H-bridge. This article contrasts the two approaches associated with a shunt active power filter based on a three-stage cascaded inverter. The first procedure is based on the standard PI regulator, and the second one is based on the current predictor. The shunt active power filter reference current is created by using the p-q control strategy for the compensation for reactive power and current harmonics. The three-stage form cascade inverter has more advantages than the bi-stage inverter, the simulation results are tested using MATLAB/Simulink. 2. MULTILEVEL INVERTERS In recent decades, multi-level transformers have been increased because of the advantages in high-quality waveforms, low switching losses, high voltage capabilities and low electromagnetic compatibility problems they are taken into consideration in many high voltage and power applications [10-11]. The basic concept of multi-level converters is to combine many levels of voltage and to generate a sinusoidal voltage. By increasing in numbers, the synthesized output waveform provides additional steps, generating a series of wave steps that have a minimum harmonic distortion in the sinusoidal wave [12-13]. For instance, it can move between the n levels in the generalized n-level inverter as shown in Figure 1(a) and (b). Although there are different types of multilevel topologies, each of them has a unique topological layout. There are usually four major groups. The four types of flight condenser, hybrid H-bridge and multilevel hybrid inverters are widely recognized. (a) (b) Figure 1. (a) Simplified circuit of a n-level converter, (b) generated output n-level voltage 3. CASCADED H-BRIDGE THREE-LEVEL INVERTER Several single full-bridge inverter units were included in the H-bridge cascaded multilevel inverter. Each bridge was fed with its dc source, which includes batteries, PV cells or any dc. Each bridge’s output can be added to generate near-sine voltage waveform for the nth level of the multi-level inverter H-bridge Cascade per complete bridge inverter which forms the three-level cascaded H-bridge inverter with separate dc. Four semi-conductor switches can generate, depending on switching state, three different voltage levels namely+vdc, 0 and–vdc. Each turn always carries 180 degrees or half a loop, no matter how big the pulse of the quasi-quadrant wave is so that the current stress in each part can be compensated for by that method [14- 15]. The three-level cascading H-bridge inverter is displayed in Figure 2. At a certain amount of time each H-bridge was triggered in a different starting angle and because each bridge was supplied with a separate dc source, the output for all three levels cascading H-bridge inverter output was the sum of three-level cascading three-level H-bridge inverter inputs of a different dc source [16]. The following is an output (1-3). From the above equation, the output voltage of the multilevel inverter cascaded H-bridge is the sum of the dc sources on the multilevel inverter. The Fourier bridge series as shown in 4 can be used to construct multi-level voltage waveforms as in Figure 3 [17-18].
  • 3.  ISSN: 2502-4752 Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722 716 Figure 2. Three levels cascaded H-bridge inverter Figure 3. Staircase voltage waveform for single-phase three-level inverter [16] (1) (2) (3) ( ) ∑ ( ) (4) 4. PREDICTIVE CONTROLLER WITH CASCAD H-BRIDGE THREE-LEVEL INVERTER Two primary control components of the shunt active power filter (SAPF) system are present here. The first is the harmonic extraction method based on the standard regulator PI and the second is the current predictive control. Figure 4 show the overall control strategy block diagram. The output signal of a filter relative to a reference voltage is used as an input to the predictive control, the resulting signals are given by a three-level inverter. The predictive output is processed by carrier modules with the aid of a comparator to produce a switching signal [19-20]. Figure 4. The general block diagram of the predictive control strategy
  • 4. Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  Current model predictive control for three phase active power filter using cascaded… (A.Yousfi) 717 This predictive control strategy is based on the search for the perfect control vector, which requires first of all the analysis of the variations in the application of each control vector to load absorbed currents, during a time interval equal to the switching period [21-23]. The equation of APF shunt current, output voltage and the typical CCP voltage is shown in Figure 5 as [24-25]. In this case, the equation shows: (5) If is the interfacing inductance, represents phases or , , the output voltage APF in the phase and the common point of connection (CCP) phase voltage, and the APF current phase [24-25]. The resistance to the inductor is dismissed. In the discrete form, (5) can be defined as: ( ) ( ( ) ( ) ) (6) For those cases where the phase APF current and its expected output voltage referrals are ( ) and ( ), the sampling time is sampled at the sampling moment ( ) and . Using the common coupling point (CCP) of Kirchhoff's current law: ( ) ( ) ( ) (7) Where the process load and deliver current are ( ) and ( ) at the sampling instant ( ), respectively. As there is no instant sampling ( ), ( ) has been replaced with ( ). This results in a time delay that is decreased as the amount of sampling increases. The shunt APF reference current can be specified as: ( ) ( ) ( ) (8) Substituting (7) and (8) into (6) gives: ( ) ( ( ) ( ) ) ( ) (9) (9) refers to the predicted output voltage of the inverter in reference and current supply currents. The block diagram for controlling the shunt APF using predictive control, based on three-level inverter is simulated using MATLAB/Simulink is shown in Figure 5. Figure 5. Predictive current control of the APF
  • 5.  ISSN: 2502-4752 Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722 718 5. SIMULATION RESULTS The Figure 6, Figure 7, and Figure 8 are indicate the supply and load current voltage before compensation. Figure 6. Supply voltages Figure 7. Load current Figure 8. Frequency spectrum 5.1. Results and discussion of the APF based on the PI controller The findings from the previous results show the efficiency of the shunt APF associated with the PI controller based on three-stage inverters. The gross harmonic distortion of the source current (THD) has been reduced to 2.67% as shown in Figure 9. The source current is also similar to the sinusoidal shape as shown in Figure 10, with a balanced network (t=0.15s) measured on the APF. Injected current and reference current as shown in Figure 11. The instantaneous active energy at the source side is also necessary to remember, depending on the magnitude of the source stress, and the imaginary power is pushed to zero as shown in Figure 12. This results in the effective compensation of the reactive force. Since reactive power is not involved in the transfer of active energy, the phase current may be increased. The reactive power can be reduced to zero, it is possible to minimize the current flowing at the source side and the power factor is a unity see Figure 13.
  • 6. Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  Current model predictive control for three phase active power filter using cascaded… (A.Yousfi) 719 Figure 9. Frequency spectrum Figure 10. Supply current Figure 11. Injected current and reference current Figure 12. Active and reactive power
  • 7.  ISSN: 2502-4752 Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722 720 Figure 13. Supply current and supply voltages 5.2. Results and discussion of the APF based on the predictive controller These figures show the injected current and its reference; the source current and its frequency spectrum and finally the active and the reactive power. A THD calculation of the output voltage was carried out concerning Table 1. Predictive control is a quite common class of controls that have been used in power converters very recently. The performance of the shunt APF associated with the predictive controller, based on three-level inverter is illustrated through the previous results as shown in Figure 14-18. To observe further the performance of this filter, it is necessary to carry out the simulation under balanced network condition. The THD of the source current is reduced to 1.56%, compared with the conventional PI controller (2.67%). The active instantaneous force on the source side depends on the source voltage value and the imaginary force with one uniform power factor (cos phi=1) is a force to zero ( 0 VAR). Simulation tests show that the APF shunt associated with the current predictor contributes to higher output than the PI transmitter. The tests obtained from predictive testing verified the positive results. Table 1. Comparison of controller performance Controllers THD% PI 2.67 Predictive 1.56 Figure 14. Supply current Figure 15. Frequency spectrum
  • 8. Indonesian J Elec Eng & Comp Sci ISSN: 2502-4752  Current model predictive control for three phase active power filter using cascaded… (A.Yousfi) 721 Figure 16. Injected current and reference current Figure 17. Supply current and supply voltages Figure 18. Active and reactive power 6. CONCLUSION This paper uses a three-phase three-level H-Bridge inverter to control the load current, using the current predictive model. Where, in the first place, the ideal set of possible switching states is chos to the number of users switching indicates the device pressure, based on current redundancies. A comparative analysis of two control methods, linked to an APF shunt, based on a cascaded inverter form of three-stage. The first approach is based on the traditional PI control and the second is based on the current predictor. MATLAB/SIMULINK is deployed for the systems proposed. Modelling of the APF with three cascading levels and the efficient control design is presented. A robust current predictor is available that shows excellent dynamic and stable accuracy. The APF performance is tested with MATLAB/Simulink simulation. Compared to conventional control algorithms, the APF predictive associated with the inverter of three- levels shows greater efficiency and performance.
  • 9.  ISSN: 2502-4752 Indonesian J Elec Eng & Comp Sci, Vol. 21, No. 2, February 2021 : 714 - 722 722 REFERENCES [1] W. Mack grady, S. Santoso, “Understanding power system harmonics,” IEEE power Eng. Rev. 21(November (11)), pp. 8-11, 2001. [2] Garima Sinha, Pankaj kumar Goswami, Sudhir kr. Sharma, “Harmonic Mitigation for Non-Linear Load using TSH Active Power Filter with PID Controller,” International Journal of Applied Power Engineering (IJAPE), ISSN: 2252-8792, vol. 7, no. 2, pp. 159-165, 2018. [3] K. G. Firouzjah, A. Sheikholeslam, “A High Performance Technique in Harmonic Omitting Based on Predictive Current Control of a Shunt Active Power Filter,” International Journal of Electrical and Computer Engineering, vol. 3, no. 16, 2008. [4] B. Singh, A. Chandra, and K. Al-Haddad, “Computer-aided modeling and simulation of active power filters,” Elect, Mach.power Syst., vol. 27, pp. 1227-1241, 1999. [5] T. Rajesh, S. Aravindhan, M. Sowmiya, S. Thenmozhi, “Design of Shunt Active Filter for Reduction of Harmonics,” International Journal of Engineering Science and Computing, 2016. [6] Moh. Jauhari, Dedet Candra Riawan, Mochamad Ashari, “Control Design For Shunt Active Power Filter Based On p-q Theory In Photovoltaic Grid-Connected System,” International Journal of Power Electronics and Drive System (IJPEDS), vol. 9, no. 3, pp. 1064-1071, 2018. [7] Y. Kusuma Latha, Ch. Saibabu, Y. P. Obulesh, “Control Strategy for Three Phase Shunt Active Power Filter with Minimum Current Measurements,” International Journal of Electrical and Computer Engineering (IJECE), vol. 1, no. 1, pp. 31-42, 2011. [8] J. Rodriguez, M. P. Kazmierkowski, J. R. Espinoza, P Zanchetta, H Abu-Rub, H. A. Young, and C. A. Rojas, “State of the Art of Finite Control Set Model Predictive Control in Power Electronics,” IEEE Transactions on Industrial Informatics, vol. 9, no. 2, pp. 1003-1016, 2013. [9] A. Fahmy, M. S. Hamad, A. K. Abdelsalam and A. Lotfy, “Power quality improvement in three-phase four-wire system using a shunt APF with predictive current control,” IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, Montreal, QC, pp. 668-673, 2012. doi: 10.1109/IECON.2012.6388748. [10] Anjali Krishna R and Dr L Padma Suresh, “A Brief Review on Multi Level Inverter Topologies,” International Conference on Circuit, Power and Computing Technologies, 2016. [11] E. Babaei and S. H. Hosseini, “New cascaded multilevel inverter topology with minimum number of switches,” J. Energy Convers. Manag. vol. 50, no. 11, pp. 2761-2767, 2009. [12] Sanjeevikumar P., “Analysis and Implementation of Multiphase Multilevel Inverter for OpenWinding Loads,” University of Bologna, Italy, 2012. [13] McGrath, Brendan Peter, Donald Grahame Holmes, “Multicarrier PWM strategies for multilevel inverters,” Industrial Electronics, IEEE Transactions on., vol. 49, no. 4, pp. 858-867, 2002. [14] Keith C., “Operation and design of multilevel inverters,” Developed for the office of naval research, pp. 1-79, 2003. [15] Rueger Niklas E., Kuhn H., Mertens A., “Harmonic distortion of multicarrier PWM strategies in cascaded multilevel converters with unequal DC sources. Power Electronics and Applications,” European Conference on IEEE, 2007. [16] Mohd Ruddin Ab Ghani, Nabil Farah, Jurifa Lazi, M.R.Tamjis, Md Nazri Othman, Nur Huda Mohd Amin, Syariffah Othman, Zanariah Jano, Tole Sutikno, “Investigation Study of Three-Level Cascaded H-bridge Multilevel Inverter,” TELKOMNIKA, vol.15, no.1, pp. 125-137, 2017. [17] Parkash Aman, Shimi SL, Chatterji S, “Harmonics Elimination in Cascade Multilevel Inverters Using Newton- Raphson and Genetic Algorithm,” International Journal for Scientific Research & Development (IJSRD), pp. 236- 239, 2014. [18] N. A Azli, Member IEEE and Y. C. Choong, “Analysis on the Performance of a Three-phase Cascaded H-Bridge Multilevel Inverter,” First International Power and Energy Coference, November 28-29, Putrajaya, Malaysia, 2006. [19] C. A. Rojas, J. Rodriguez, F. Villarroel, J. R. Espinoza, “Predictive torque and control without weighting factors,” IEEE Transactions on Industrial Electronics, vol. 60, no. 2, pp. 681-690, 2013. [20] S. Vazquez, J. Leon, L. Franquelo, J. Rodriguez, H. Young, A. Marquez, and P. Zanchetta, “Model predictive control: A review of its applications in power electronics,” IEEE Industrial Electronics Magazine, vol. 8, no. 1, pp. 1631, 2014. [21] R. Panigrahi, Bidyadhar Subudhi, Prafulla Chandra Panda, “Model predictive-based shunt active power filter with a new reference current estimation strategy,” IET Power Electronics, vol. 8, no. 2, pp. 221-233, 2015. [22] J. Rodriguez, et al., “Commande PrĂŠdictive current control of a voltage source inverte,” IEEE transaction on industrial electronics, vol. 54, no. 1, 2007. [23] Atif Iqbal, Shaikh Moinoddin, Khaliqur Rahman, “Finite State Predictive Current and Common Mode Voltage Control of a Seven-phase Voltage Source Inverter,” International Journal of Power Electronics and Drive System (IJPEDS), vol. 6, no. 3, pp. 459-476, 2015. [24] S. Vazquez, C. Montero, C. Bordons, and L. Franquelo, “Model predictive control of a VSI with long prediction horizon,” in IEEE International Symposium on Industrial Electronics (ISIE), pp. 1805-1810, 2011. [25] S. Kouro, P. CortĂŠs, R. Vargas, U. Ammann, and J. RodrĂ­guez, “Model predictive control-a simple and powerful method to control power converters,” IEEE Transactions on Industrial Electronics, vol. 56, no. 6, pp. 1826-1838, 2009.