Predictive current control of FL-shunt active power filter for dynamic and heterogeneous load compensation


In this paper, a predictive current control technique is utilized to generate switching pulses for four-leg-shunt active power filter (FL-shunt active power filter). The d-q theory technique is executed for removing the reactive and harmonic components of load current. MATLAB-based simulation and FPGA-controlled experimentation have been carried out to evaluate the behavior of predictive current control technique under dynamic and heterogeneous loading conditions. The 3-phase induction machine is considered as a dynamic load, and the capability of FL-shunt active power filter is assessed for compensating the reactive power. The compensation behavior of FL-shunt active power filter is observed with heterogeneous load, which is an amalgamation of dynamic and unstable static loads. Under steady-state and transient conditions, the simulation and experimentation results demonstrate that the proposed technique makes the supply current sinusoidal as well as balanced; compensates the reactive power; maintains near to unity power factor at the point of common coupling (PCC); and annuls the current flow in neutral conductor.

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  1. 1.

    Singh B, Chandra A, Al-Haddad K (2015) Power quality: problems and mitigation techniques. West Sussex, U.K., Wiley

    Google Scholar 

  2. 2.

    Chen H, Cramer AM, Liu X (2016) Average-value modeling of hysteresis current controlled three-phase inverters. Electr Power Compon Syst 44(6):93–700

    Article  Google Scholar 

  3. 3.

    Venkatraman K, Selvan MP, Moorthi S (2016) Predictive current control of distribution static compensator for load compensation in distribution system. IET Gener Transm Distrib 10(10):2410–2423

    Article  Google Scholar 

  4. 4.

    Yaramasu V, Rivera M, Wu B, Rodriguez J (2013) Model predictive current control of two-level four-leg inverters-Part I: Concept, algorithm, and simulation analysis. IEEE Trans Power Electron 28(7):3459–3468

    Article  Google Scholar 

  5. 5.

    Golwala H, Chudamani R (2016) New three-dimensional space vector-based switching signal generation technique without null vectors and with reduced switching losses for a grid-connected four-leg inverter. IEEE Trans Power Electron 31(2):1026–1035

    Article  Google Scholar 

  6. 6.

    Chen H, Xu F, Xi Y (2012) Field programmable gate array/system on a programmable chip-based implementation of model predictive controller. IET Control Theory and Appl 6(8):1055–1063

    MathSciNet  Article  Google Scholar 

  7. 7.

    Karami A, Mahmoodi Galougahi K (2019) Improvement in power system transient stability by using STATCOM and neural networks. Electr Eng 101:19–33

    Article  Google Scholar 

  8. 8.

    Bharadwaj A, Maiti S, Dhal N, Chakraborty S (2019) Control and sizing of modular multilevel converter-based STATCOM with hybrid energy storage system for large-scale integration of wind farms with the grid. Electr Eng 101:743–757

    Article  Google Scholar 

  9. 9.

    Cristian AS, Munoz JA, Espinoza JR, Figueroa ME, Melin PE (2013) All-on-chip-frame based D-STATCOM control implementation in a low-cost FPGA. IEEE Trans Ind Electron 60(2):659–669

    Article  Google Scholar 

  10. 10.

    Azazi HZ, El-Kholy EE, Mahmoud SA, Shokralla SS (2014) Power factor correction using predictive current control for three-phase induction motor drive system. Electr Power Compon Syst 42(2):190–202

    Article  Google Scholar 

  11. 11.

    Arab Markadeh G, Soltani J (2006) Robust direct torque and flux control of adjustable speed sensorless induction machine drive based on space vector modulation using a PI predictive controller. Electr Eng 88:485–496

    Article  Google Scholar 

  12. 12.

    Kumar C, Mishra MK (2015) Predictive Voltage control of transformer less dynamic Voltage restorer. IEEE Trans Ind Electron 62(5):2693–2697

    Article  Google Scholar 

  13. 13.

    Abdelrahem M, Hackl CM, Kennel R (2017) Simplified model predictive current control without mechanical sensors for variable-speed wind energy conversion systems. Electr Eng 99:367–377

    Article  Google Scholar 

  14. 14.

    Sepulveda CA, Munoz JA, Espinoza JR, Figueroa ME, Baier CR (2013) FPGA v/s DSP Performance comparison for a VSC-based STATCOM control application. IEEE Trans Ind Inform 9(3):1351–1360

    Article  Google Scholar 

  15. 15.

    Urkovic MC, Jezernik K, Horvat R (2013) FPGA-based predictive sliding mode controller of a three-phase inverter. IEEE Trans Ind Electron 60(2):637–644

    Article  Google Scholar 

  16. 16.

    Venkatraman K, Moorthi S, Selvan MP, Raja P, Deepa K (2015) Performance evaluation of FPGA controlled DSTATCOM for load compensation. Arab J Sci Eng 41(9):3355–3367

    MathSciNet  MATH  Google Scholar 

  17. 17.

    Sanchez PM, Machado O, Pena EJB, Rodriguez FJ, Meca FJ (2013) FPGA-based implementation of a predictive current controller for power converters. IEEE Trans Ind Inform 9(3):1312–1321

    Article  Google Scholar 

  18. 18.

    Vyncke T, Thielemans S, Melkebeek J (2013) Finite-set model based predictive control for flying capacitor converters: cost function design and efficient FPGA implementation. IEEE Trans Ind Inform 9(2):1113–1121

    Article  Google Scholar 

  19. 19.

    Morales-Caporal M, Rangel-Magdaleno J, Peregrina-Barreto H, Morales-Caporal R (2018) FPGA-in-the-loop simulation of a grid-connected photovoltaic system by using a predictive control. Electr Eng 100:1327–1337

    Article  Google Scholar 

  20. 20.

    Latran MB, Teke A, Yoldas Y (2015) Mitigation of power quality problems using distribution static synchronous compensator: a comprehensive review. IET Power Electron 8(7):1312–1328

    Article  Google Scholar 

  21. 21.

    George V, Mishra MK (2010) DSTATCOM topologies for three-phase high power Applications. Int J Power Electron 2(2):107–124

    Article  Google Scholar 

  22. 22.

    Dheepanchakkravarthy A, Venkatraman K, Selvan MP, Moorthi S, Venkatakirthiga M (2016) Capability Evaluation of Four-leg DSTATCOM for Compensating Multifarious Loads. Aust J Electr Electron Eng 13(4):229–243

    Article  Google Scholar 

  23. 23.

    Singh B, Arya SR, Jain C, Goel S (2014) Implementation of four-leg distribution static compensator. IET Gener Transm Distrib 8(6):1127–1139

    Article  Google Scholar 

  24. 24.

    Hemeida MG, Rezk H, Hamada MM (2018) A comprehensive comparison of STATCOM versus SVC-based fuzzy controller for stability improvement of wind farm connected to multi-machine power system. Electr Eng 100:935–951

    Article  Google Scholar 

  25. 25.

    Dheepanchakkravarthy A, Akhil S, Venkatraman K, Selvan MP, Moorthi S (2018) Performance analysis of FPGA controlled four-leg DSTATCOM for multifarious load compensation in electric distribution system. J Eng Sci tech 21:692–703

    Google Scholar 

  26. 26.

    Carrasco G, Silva CA, Pena R, Cardenas R (2015) Control of a four-leg converter for the operation of a DFIG feeding stand-alone unbalanced loads. IEEE Trans Ind Electron 62(7):4630–4640

    Article  Google Scholar 

  27. 27.

    Badoni M, Singh A, Singh B (2015) Design and implementation of adaptive neuro –fuzzy inference system based control algorithm for distribution static compensator. Electr Power Compon Syst 43(15):1741–1751

    Article  Google Scholar 

  28. 28.

    Mustafa I, Kamil CB, Mehmet T (2016) Improved synchronous reference frame based controller method for multifunctional compensation. Electr Power Syst Res 141:500–509

    Article  Google Scholar 

  29. 29.

    Venkatraman K, Selvan MP, Moorthi S (2017) Predictive current control of DSTATCOM for VAR compensation of grid connected wind farms. J Renewable Sustain Energy 9:023301

    Article  Google Scholar 

  30. 30.

    Dionisio Barros J, Fernando A, Silva J, Jesus EGA (2013) Fast-Predictive Optimal Control of NPC Multilevel Converters. IEEE Trans Ind Electron 60(2):619–627

    Article  Google Scholar 

  31. 31.

    Chaves M, Margato E, Silva JF, Pinto SF, Santana J (2011) HVDC transmission systems: bipolar back-to-back diode clamped multilevel converter with fast optimum-predictive control and capacitor balancing strategy. Electr Power Syst Res 81(7):1436–1445

    Article  Google Scholar 

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Correspondence to Dheepanchakkravarthy Azhagesan.

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Azhagesan, D., Periyasamy, M., Manickavasagam Parvathy, S. et al. Predictive current control of FL-shunt active power filter for dynamic and heterogeneous load compensation. Electr Eng (2021).

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  • Predictive current control
  • FL-shunt active power filter
  • FPGA
  • Heterogeneous load