Significant insights into the operation of DC-link voltage control of a shunt active power filter using different control algorithms: a comparative study

Significant insights into the operation of DC-link voltage control of a shunt active power filter using different control algorithms: a comparative study

A comparative study between a conventional DC-link voltage control algorithm (CDVCA) and a self-charging DC-link voltage control algorithm (SDVCA) is presented. It focuses on the principle operation of both algorithms and their impacts on the performance of a shunt active power filter (SAPF) operation. All analyses are based on the step response of DC-link voltages under different start-up times of the SAPF and different initial DC-link voltage values. Other considered parameters are the ripple factor (RP) of DC-link voltages, estimated and measured DC-link charging currents, and total harmonic distortion (THD) value of supply currents. Thus, this study provides new insights into the operation of DC-link voltage control using different control algorithms. According to the simulation results, the SAPF using the SDVCA has shown better performance than using the CDVCA. By using the SDVCA, the charging process of a DC-link capacitor starts almost instantaneously. Additionally, the overshoot, settling time, and RF of DC-link voltages are reduced. Other than that, THD values of supply currents are improved, by generating low ripple of estimated DC-link charging currents. Experimental validation of the SAPF using the SDVCA is also presented.

___

  • [1] Ponpandi R, Durairaj D. A novel fuzzy-adaptive hysteresis controller based three phase four wire-four leg shunt active filter for harmonic and reactive power compensation. Energ Power Eng 2011; 3: 422-435.
  • [2] Mikkili S, Panda AK. Types -1 and -2 fuzzy logic controllers-based shunt active filter id-iq control strategy with different fuzzy membership functions for power quality improvement using RTDS hardware. IET Power Electron 2013; 6: 818-833.
  • [3] Singh R, Singh AK, Arya RK. Approximated fuzzy logic controlled shunt active power filter for improved power quality. Expert Syst 2013; 30: 152-161.
  • [4] Patnaik SS, Panda AK. Real-time performance analysis and comparison of various control schemes for particle swarm optimization-based shunt active power filters. Int J Elec Power 2013; 52: 185-197.
  • [5] Qasim M, Kanjiya P, Khadkikar V. Artificial-neural-network-based phase-locking scheme for active power filters. IEEE T Ind Electron 2014; 61: 3857-3866.
  • [6] Dehini R, Bassou A, Ferdi B. Artificial neural networks application to improve shunt active power filter. Int J Comp Info Eng 2009; 3: 247-254.
  • [7] Chauhan SK, Shah MC, Tiwari RR, Tekwani PN. Analysis, design and digital implementation of a shunt active power filter with different schemes of reference current generation. IET Power Electron 2014; 7: 627-639.
  • [8] Mahanty R. Indirect current controlled shunt active power filter for power quality improvement. Int J Elec Power 2014; 62: 441-449.
  • [9] Boukadoum A, Bahi T. Fuzzy logic controlled shunt active power filter for harmonic compensation and power quality improvement. J Eng Sci Tech Review 2014; 7: 143-149.
  • [10] Mikkili S, Panda AK. Real-time implementation of shunt active filter p-q control strategy for mitigation of harmonics with different fuzzy MFs. J Power Electron 2012; 12: 821-829.
  • [11] Tsang KM, Chan WL, Tang X. Multi-level shunt active power filter using modular cascade H-bridge and delay firing. Electr Pow Compo Sys 2013; 41: 605-618.
  • [12] Vijayakumar M, Vijayan S. A comparative study and implementation of controller for UPQC in single-phase to three-phase system. Int J Eng Tech 2013; 5: 3846-3857.
  • [13] Patnaik SS, Panda AK. Three-level H-bridge and three H-bridges-based three-phase four-wire shunt active power filter topologies for high voltage applications. Int J Electric Power 2013; 51: 298-306.
  • [14] Lu W, Li C, Xu C. Sliding mode control of a shunt hybrid active power filter based on the inverse system method. Int J Electric Power 2014; 57: 39-48.
  • [15] Ponnusamy T, Narri Y. Control of shunt active power filter using soft computing technique. J Vib Control 2012; 20: 713-723.
  • [16] Tey LH, So PL, Chu YC. Improvement of power quality using adaptive shunt active filter. IEEE T Power Delivery 2005; 20: 1558-1568.
  • [17] Aziz MMA, Zobaa AF, Hosni AA. Neural network controlled shunt active filter for non linear loads. In: Eleventh International Middle East Power Systems Conference; 19–21 Dec 2006; El-Minia Univrsity, El-Minia, Egypt: IEEE. pp. 180-188.
  • [18] Mehta G, Patidar RD, Singh SP. Design, analysis and implementation of DSP based single-phase shunt active filter controller. In: 2011 International Conference on Emerging Trends in Electrical and Computer Technology; 23–24 Mar 2011; St. Xaviers Catholic College of Engineering Nagercoil, India: IEEE. pp. 166-173.
  • [19] Zanchetta P, Degano M, Junyi L, Mattavelli P. Iterative learning control with variable sampling frequency for current control of grid-connected converters in aircraft power systems. IEEE T Ind Appl 2013; 49: 1548-1555.
  • [20] Karuppanan P, Kamala KM. PI and fuzzy logic controllers for shunt active power filter - a report. ISA T 2012; 51: 163-169.