Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Analysis and experimental evaluation of shunt active power filter for power quality improvement based on predictive direct power control


This paper discusses the use of the concept of classical and predictive direct power control for shunt active power filter function. These strategies are used to improve the active power filter performance by compensation of the reactive power and the elimination of the harmonic currents drawn by non-linear loads. A theoretical analysis followed by a simulation using MATLAB/Simulink software for the studied techniques has been established. Moreover, two test benches have been carried out using the dSPACE card 1104 for the classic and predictive DPC control to evaluate the studied methods in real time. Obtained results are presented and compared in this paper to confirm the superiority of the predictive technique. To overcome the pollution problems caused by the consumption of fossil fuels, renewable energies are the alternatives recommended to ensure green energy. In the same context, the tested predictive filter can easily be supplied by a renewable energy source that will give its impact to enhance the power quality.

This is a preview of subscription content, log in to check access.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11


  1. Aboudrar I, Soumia EH, Hamza M, Najib B, Amina E (2017) Hybrid algorithm and active filtering dedicated to the optimization and the improvement of photovoltaic system connected to grid energy quality. Int J Renew Energy Res 07(02):894–900

  2. Adam G, Alina GS, Gheorghe L (2012) An adaptive hysteresis band current control for three phase shunt active power filter using fuzzy logic. IEEE 16th Int Conf Expo Electr Power Eng:324–329. https://doi.org/10.1109/ICEPE.2012.6463910

  3. Aissa O, Moulahoum S, Ilhami C, Nadir K, Badreddine B (2016) Improved performance and power quality of direct torque control of asynchronous motor by using intelligent controllers. Electr Power Components Syst 44(04):343–358. https://doi.org/10.1080/15325008.2015.1117541

  4. Aissa O, Moulahoum S, Nadir K, Hamza H (2014a) Improved power quality PWM rectifier based on fuzzy logic direct power controller. IEEE 16th Int Conf Harmonics Qual Power:219–223. https://doi.org/10.1109/ICHQP.2014.6842910

  5. Aissa O, Moulahoum S, Nadir K, Hamza H (2014b) Fuzzy logic based direct power control for PWM three-phase rectifier. IEEE 22nd Mediterr Conf Control Autom:79–84. https://doi.org/10.1109/MED.2014.6961330

  6. Ajabi-Farshbaf R, Reza AM, Sirvan S, Ataollah M (2016) Modeling of a new configuration for DFIGs using T-type converters and a predictive control strategy in wind energy conversion systems. Int J Renew Energy Res 06(03):975–986

  7. Badoni M, Singh A, Singh B (2016) Adaptive recursive inverse-based control algorithm for shunt active power filter. IET Power Electron 09(05):1053–1064. https://doi.org/10.1049/iet-pel.2015.0170

  8. Benchouia MT, Ghadbane I, Golea A, Srairi K, Benbouzid MEH (2015) Implementation of adaptive fuzzy logic and pi controllers to regulate the dc bus voltage of shunt active power filter. Appl Soft Comput 28(01):125–131. https://doi.org/10.1016/j.asoc.2014.10.043

  9. Benysek G, Pasko M (2012) Power theories for improved power quality, Ed edn. Springer

  10. Biricik S, Redif S, Ozerdem Ozgür C, Khadem Shafiuzzaman K, Malabika B (2014) Real-time control of shunt active power filter under distorted grid voltage and unbalanced load condition using self-tuning filter. IET Power Electron 07(07):1895–1905. https://doi.org/10.1049/iet-pel.2013.0924

  11. Boukezata B, Chaoui A, Gaubert J-P, Hachemi M (2016) Power quality improvement by an active power filter in grid-connected photovoltaic systems with optimized direct power control strategy. Electr Power Components Syst 44(18):2036–2047. https://doi.org/10.1080/15325008.2016.1210698

  12. Chattopadhyay S, Madhuchhanda M, Samarjit S (2011) Electric power quality, Ed edn. Springer

  13. Chauhan SK, Shah Mihir C, Ratan TR, Tekwani PN (2014) Analysis, design and digital implementation of a shunt active power filter with different schemes of reference current generation. IET Power Electron 07(03):627–639. https://doi.org/10.1049/iet-pel.2013.0113

  14. Das JC (2004) Passive filters—potentialities and limitations. IEEE Trans Ind Appl 40(01):232–241. https://doi.org/10.1109/TIA.2003.821666

  15. Dey P, Mekhilef S (2016) Shunt hybrid active power filter under non ideal voltage based on fuzzy logic controller. Int J Electron 103(09):1580–1592. https://doi.org/10.1080/00207217.2016.1138515

  16. Djerioui A, Aliouane K, Bouchafaa F (2012) Sliding mode observer of a power quality in grid connected renewable energy systems. Int J Renew Energy Res 02(04):541–528

  17. Elgammal A, Ali D (2017) Self-regulating active power filter compensation scheme for hybrid photovoltaic-fuel cell renewable energy system for smart grid applications. Int J Renew Energy Res 07(02):513–524

  18. Formentini A, Trentin A, Marchesoni M, Zanchetta P, Wheeler P (2015) Speed finite control set model predictive control of a PMSM fed by matrix converter. IEEE Trans Ind Electron 61(11):6786–6796. https://doi.org/10.1109/TIE.2015.2442526

  19. Ghanes M, Trabelsi M, Abu-Rub H, Ben-Brahim L (2016) Robust adaptive observer based model predictive control for multilevel flying capacitors inverter. IEEE Trans Ind Electron 63(12):7876–7886. https://doi.org/10.1109/TIE.2016.2606359

  20. Huang J, Zhang A, Zhang H, Ren Z, Wang J, Zhang L, Zhang C (2014) Improved direct power control for rectifier based on fuzzy sliding mode. IEEE Trans Control Syst Technol 22(03):1174–1180. https://doi.org/10.1109/TCST.2013.2273368

  21. Karuppasamy I, Manitha PV, Nair Manjula G (2012) Modified IcosФ controller for shunt active filter interfacing renewable energy source and grid. Int Conf Power Energy Syst:62–68. https://doi.org/10.1016/j.aasri.2012.09.015

  22. Lim S, Choi J (2015) LCL filter design for grid connected NPC type three-level inverter. Int J Renew Energy Res 05(01):45–53

  23. Mesbahia N, Ouari A, Djaffar OA, Tounsia D, Amar O (2014) Direct power control of shunt active filter using high selectivity filter (HSF) under distorted or unbalanced conditions. Electr Power Syst Res 108:113–123. https://doi.org/10.1016/j.epsr.2013.11.006

  24. Moulahoum S, Houassine H, Kabache N (2013a) Parallel active filter to eliminate harmonics generated by compact fluorescent lamps. IEEE 21nd Mediterr Conf Control Autom:143–148. https://doi.org/10.1109/MED.2013.6608712

  25. Moulahoum S, Houassine H, Kabache N (2013b) Shunt active power filter to mitigate harmonics generated by compact fluorescent lights. IEEE 18th Int Conf Methods Autom Robot:496–501. https://doi.org/10.1109/MMAR.2013.6669960

  26. Noroozian R, Gharehpetian Gevorg B (2013) An investigation on combined operation of active power filter with photovoltaic arrays. Electr Power Energy Syst 46:392–399. https://doi.org/10.1016/j.ijepes.2012.10.033

  27. Panigrahi R, Panda Prafulla C, Subudhi B (2014) A robust extended complex kalman filter and sliding-mode control based shunt active power filter. Electr Power Components Syst 52(05):520–532. https://doi.org/10.1080/15325008.2013.871609

  28. Panigrahi R, Subudhi B, Panda Prafulla C (2015) Model predictive- based shunt active power filter with a new reference current estimation strategy. IET Power Electron 08(02):221–233. https://doi.org/10.1049/iet-pel.2014.0276

  29. Pitchaivijaya K, Mahapatra KK (2012) PI and fuzzy logic controllers for shunt active power filter: a report. ISA Trans 51(01):163–169. https://doi.org/10.1016/j.isatra.2011.09.004

  30. Preindl M, Bolognani S (2013) Model predictive direct speed control with finite control set of PMSM drive systems. IEEE Trans Power Electron 28(02):1007–1015. https://doi.org/10.1109/TPEL.2012.2204277

  31. Qasim M, Kanjiya P, Khadkikar V (2014) Artificial neural network based phase locking scheme for active power filters. IEEE Trans Ind Electron 61(08):3857–3866. https://doi.org/10.1109/TIE.2013.2284132

  32. Rivera M, Tarisciotti L, Wheeler P, Pericle Z (2015) Predictive control of an indirect matrix converter operating at fixed switching frequency and without weighting factors. IEEE 24th Int Symp Ind Electron:1027–1033. https://doi.org/10.1109/ISIE.2015.7281613

  33. Song Z, Chen W, Xia C (2014) Predictive direct power control for three-phase grid-connected converters without sector information and voltage vector selection. IEEE Trans Power Electron 29(10):5518–5531. https://doi.org/10.1109/TPEL.2013.2289982

  34. Tao Y, Wu Q, Wang L, Tang W (2016) Voltage sensorless predictive direct power control of three-phase PWM converters. IET Power Electron 09(05):1009–1018. https://doi.org/10.1049/iet-pel.2014.0713

  35. Tarisciotti L, Zanchetta P, Watson A, Clare J, Degano M, Bifaretti S (2015) Modulated model predictive control (M2PC) for a three-phase active rectifier. IEEE Trans Ind Appl 51(02):1610–1620. https://doi.org/10.1109/TIA.2014.2339397

  36. Trabelsi M, Bayhan S, Ghazi K, Abu-Rub H, Ben-Brahim L (2016) Finite control set model predictive control for grid connected packed u-cells multilevel inverter. IEEE Trans Ind Electron 63(11):7286–7295. https://doi.org/10.1109/TIE.2016.2558142

  37. Yahaya J, Mansor M (2016) Model predictive control for current balancing in a four-phase buck converter. Int J Renew Energy Res 06(02):528–534

  38. Zeng Z, Yang H, Zhao R, Chen C (2013) Topologies and control strategies of multi-functional grid-connected inverters for power quality enhancement: a comprehensive review. Renew Sust Energ Rev 24:223–270. https://doi.org/10.1016/j.rser.2013.03.033

  39. Zhang Y, Li Z, Zhang Y, Xie W, Zhengguo P, Changbin H (2013a) Performance improvement of direct power control of PWM rectifier with simple calculation. IEEE Trans Power Electron 28(7):3428–3437. https://doi.org/10.1109/TPEL.2012.2222050

  40. Zhang Y, Peng Y, Qu C (2016) Model predictive control and direct power control for PWM rectifiers with active power ripple minimization. IEEE Trans Ind Appl 52(06):4909–4918. https://doi.org/10.1109/TIA.2016.2596240

  41. Zhang Y, Wei X, Li Z, Yingchao Z (2013b) Model predictive direct power control of a PWM rectifier with duty cycle optimization. IEEE Trans Power Electron 28(11):5343–5351. https://doi.org/10.1109/TPEL.2013.2243846

Download references

Author information

Correspondence to Samir Moulahoum.

Additional information

Responsible editor: Philippe Garrigues


Appendix 1.

Table 2 Simulation parameters used for the SAPF

Appendix 2.

Table 3 SAPF test bench parameters

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Aissa, O., Moulahoum, S., Colak, I. et al. Analysis and experimental evaluation of shunt active power filter for power quality improvement based on predictive direct power control. Environ Sci Pollut Res 25, 24548–24560 (2018). https://doi.org/10.1007/s11356-017-0396-1

Download citation


  • Harmonic pollution
  • Power quality
  • Direct power control
  • Predictive direct power control
  • Shunt active filter
  • Renewable energy source
  • Power factor