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Real Time Implementation and Analysis of Enhanced Artificial Bee Colony Algorithm Optimized PI Control algorithm for Single Phase Shunt Active Power Filter

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Abstract

This paper proposes a new hybrid novel optimization approach, called Enhanced Artificial Bee Colony Algorithm (EABC) for designing an optimal PI controller for single-phase Shunt Active Power Filter (SAPF). The proposed EABC algorithm optimizes the gain values of the PI controller to improve the dynamic performance of SAPF. In this EABC, the adaptive real coded genetic algorithm (ARGA) is integrated with the Artificial Bee Colony (ABC) algorithm and this integration improves the exploration and exploitation ABC and speed up the convergence rate. The minimization of integral square error (ISE) is considered as an objective function to manipulate the gain values of the PI controller. The system tested with MATLAB simulation results are implemented in the hardware circuit with the same set of parameters. The proposed hardware system is designed with the Cyclone-IV EP4CE30F484 FPGA controller and the gain value for this proposed controller is fed from the simulation results tested with ABC and EABC algorithm. The results obtained from the hardware setup is compared with simulation results. The experimental result enhanced the performance of THD of source current, settling time and percentage peak overshoot of DC Link voltage.

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source current

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Source current waveform b THD of source current

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Source current waveform b THD of source current

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Source current waveform b THD of source current

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References

  1. Ataide MV, Pomilio JA (1997) Single-phase shunt active filter: a design procedure considering harmonics and EMI standards’ in industrial electronics. Proc IEEE Int Symp 2:422–427

    Google Scholar 

  2. Qazi SH, Mustafa MW (2016) Review on active filters and its performance with grid connected fixed and variable speed wind turbine generator. Renew Sustain Energy Rev 1(57):420–438

    Article  Google Scholar 

  3. Chatterjee K, Fernandes BG, Dubey GK (2019) An instantaneous reactive volt-ampere compensator and harmonic suppressor system. IEEE Trans Power Electron 14(2):381–392

    Article  Google Scholar 

  4. Sasaki H, Machida T (2019) A new method to eliminate AC harmonic currents by magnetic flux compensation-considerations on basic design. IEEE Trans Power Apparatus Syst 5:2009–2019

    Google Scholar 

  5. Mahela OP, Shaik AG (2016) Topological aspects of power quality improvement techniques: a comprehensive overview. Renew Sustain Energy Rev 1(28):1129–1142

    Article  Google Scholar 

  6. Singh B, Chandra A, Al-Haddad K (2014) Power quality: problems and mitigation techniques. Wiley, Hoboken

    Google Scholar 

  7. Kumar P, Mahajan A (2009) Soft computing techniques for the control of an active power filter. IEEE Trans Power Delivery 24(1):452–461

    Article  Google Scholar 

  8. Gupta R (2012) Generalized frequency domain formulation of the switching frequency for hysteresis current controlled VSI used for load compensation. IEEE Trans Power Electron 27(5):2526–2535

    Article  Google Scholar 

  9. Mahanty R (2014) Indirect current controlled shunt active power filter for power quality improvement. Electr Power Energy Syst 62:441–449

    Article  Google Scholar 

  10. Zainuri MA, Radzi MA, Soh AC, Mariun N, Rahim NA (2016) DC-link capacitor voltage control for single-phase shunt active power filter with step size error cancellation in self-charging algorithm. IET Power Electron 9(2):323–335

    Article  Google Scholar 

  11. Berbaoui B, Ferdi B, Benachaiba C, Dehini R (2010) Control improvement of shunt active power filter using an optimized-PI controller based on ant colony algorithm and swarm optimization. J Autom Mobile Robot Intell Syst 4:19–25

    Google Scholar 

  12. Sakthivel A, Vijayakumar P, Senthilkumar A, Lakshminarasimman L, Paramasivam S (2015) Experimental investigations on ant colony optimized PI control algorithm for shunt active power filter to improve power quality. Control Eng Practice 42:153–169

    Article  Google Scholar 

  13. Berbaoui B, Chellali B, Mustapha R, Hamza T (2011) An efficient algorithm to tuning PI-controller parameters for shunt active power filter using ant colony optimization. Przeglad Elektrotechniczny (Electr Rev) 6:140–145

    Google Scholar 

  14. Patnaik SS, Anup KP (2013) Real-time performance analysis and comparison of various control schemes for particle swarm optimization-based shunt active power filters. Int J Electr Power Energy Syst 52:185–197

    Article  Google Scholar 

  15. Patnaik SS, Anup KP (2013) Three-level H-bridge and three H-bridges-based three-phase four-wire shunt active power filter topologies for high voltage applications. Int J Electr Power Energy Syst 51:298–306

    Article  Google Scholar 

  16. Patnaik SS, Anup KP (2012) Particle swarm optimization and bacterial foraging optimization techniques for optimal current harmonic mitigation by employing active power filter. Appl Comput Intell Soft Comput 2012:1

    Article  Google Scholar 

  17. Karaboga D (2005) An idea based on honey bee swarm for numerical optimization, vol. 200. In: Technical Report-tr06, Erciyes University, Engineering Faculty, Computer Engineering Department

  18. Karaboga D, Celal O (2011) A novel clustering approach: artificial Bee Colony (ABC) algorithm. Appl Soft Comput 11(1):652–657

    Article  Google Scholar 

  19. Karthika R, Kumar VS (2018) Artificial bee colony algorithm-based shunt active filter for sinusoidal supply and trapezoidal supply. J Circ Syst Comput 27(1):1850016

    Article  Google Scholar 

  20. Ebrahim EA (2015) Power-quality enhancer using an artificial bee colony-based optimal-controlled shunt active-power filter. Transformation (RDFT) 13:14

    Google Scholar 

  21. Yamarthi RB, Rao RS, Reddy PL (2016) Optimal load compensation by shunt active power filter employing artificial bee colony optimization. In: 2016 International conference on electrical, electronics, and optimization techniques (ICEEOT), pp 2197–2201

  22. Mishra S, Bhende CN (2006) Bacterial foraging technique-based optimized active power filter for load compensation. IEEE Trans Power Delivery 22(1):457–465

    Article  Google Scholar 

  23. El-Saady G, El-Sayed A-H, Essamudin AE, Abdul-Ghaffar HI (2015) Harmonic compensation using on-line bacterial foraging optimization based three-phase active power filter. WSEAS Trans Power Syst 10:2015

    Google Scholar 

  24. Singh B, Varun S (2007) Improved control of three phase active filters using genetic algorithms. In: 2007 7th international conference on power electronics and drive systems, IEEE

  25. Agrawal S, Brijesh KS, DK Palwalia (2017) Performance analysis of shunt active power filter based on GSA tuned PI controller. In: 2017 International conference on information, communication, instrumentation and control (ICICIC), IEEE

  26. Khalid S (2017) Performance evaluation of Adaptive Tabu search and Genetic Algorithm optimized shunt active power filter using neural network control for aircraft power utility of 400 Hz. J Electr Syst Inf Technol 2017:5

    Google Scholar 

  27. Patnaik SS, Anup KP (2014) Optimizing current harmonics compensation in three-phase power systems with an Enhanced Bacterial foraging approach. Int J Electr Power Energy Syst 61:386–398

    Article  Google Scholar 

  28. Rameshkumar K, Indragandhi V, Palanisamy K, Arunkumari T (2017) Model predictive current control of single phase shunt active power filter. Energy Procedia 117:658–665

    Article  Google Scholar 

  29. Szczepanski R, Tomasz T, Lech MG (2019) Adaptive state feedback speed controller for PMSM based on Artificial Bee Colony algorithm. Appl Soft Comput 83:105644

    Article  Google Scholar 

  30. Ettappan M et al (2020) Optimal reactive power dispatch for real power loss minimization and voltage stability enhancement using artificial bee colony algorithm. Microprocess Microsyst 2020:103085

    Article  Google Scholar 

  31. Kaliappan V, Manigandan T (2015) Enhanced ABC based PID controller for nonlinear control systems. Indian J Sci Technol 8:48

    Article  Google Scholar 

  32. Shanmugasundaram V (2017) Artificial bee colony algorithm based automatic generation control in two-area non-reheat thermal power system using SMES. In: 2017 IEEE International conference on power, control, signals and instrumentation engineering (ICPCSI), IEEE

  33. Chang W-D (2013) Nonlinear CSTR control system design using an artificial bee colony algorithm. Simul Model Pract Theory 31:1–9

    Article  Google Scholar 

  34. Bagis A, Halit S (2017) ABC algorithm based PID controller design for higher order oscillatory systems. Elektron Elektrotech 23(6):3–9

    Article  Google Scholar 

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  1. School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India

    Kanagavel Rameshkumar & Vairavasundaram Indragandhi

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  1. Kanagavel Rameshkumar
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  2. Vairavasundaram Indragandhi
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Correspondence to Vairavasundaram Indragandhi.

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Rameshkumar, K., Indragandhi, V. Real Time Implementation and Analysis of Enhanced Artificial Bee Colony Algorithm Optimized PI Control algorithm for Single Phase Shunt Active Power Filter. J. Electr. Eng. Technol. 15, 1541–1554 (2020). https://doi.org/10.1007/s42835-020-00437-2

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