Abstract
This paper presents a robust control scheme for shunt active power filter based on predictive direct power control with space vector modulation. The proposed control strategy solves the problem of variable switching frequency of predictive control strategy, and it offers simple and robust hardware implementation. It uses a discrete model of the system based on time domain to generate the average voltage vector, at each sampling period, with the aim of canceling the errors between the estimated active and reactive power values and their references. Concerning the DC-side voltage of the inverter, anti-windup PI controller is tuned offline using particle swarm optimization algorithm to deliver an optimal performance in DC bus voltage regulation. The overall system has been designed, simulated and validated experimentally; the obtained results in different phases demonstrate the higher performance and the better efficiency of the proposed system in terms of power quality enhancement.
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References
Emadi, A.; Abdolhosein, N.; Bekiarov, S.: Uninterruptible Power Supplies and Active Filters. CRC Press, Boca Raton (2005)
Bouzidi, M.; Benaissa, A.; Barkat, S.: Hybrid direct power/current control using feedback linearization of three-level four-leg voltage source shunt active power filter. Int. J. Electr. Power Energy Syst. 61, 629–646 (2014). https://doi.org/10.1016/j.ijepes.2014.03.071
Mahajan, V.; Agarwal, P.; Gupta, H.O.: Implementation of high-voltage multilevel harmonic filter based on rotated carrier modulation and artificial intelligence-based controllers. Arab. J. Sci. Eng. 39, 7127–7143 (2014). https://doi.org/10.1007/s13369-014-1280-7
Saidi, S.; Abbassi, R.; Chebbi, S.: Quality improvement of shunt active power filter with direct instantaneous power estimator based on Virtual Flux. Int. J. Control. Autom. Syst. 14, 1309–1321 (2016). https://doi.org/10.1007/s12555-014-0264-4
Chebabhi, A.; Fellah, M.K.; Kessal, A.; Benkhoris, M.F.: Comparative study of reference currents and DC bus voltage control for three-phase four-wire four-leg SAPF to compensate harmonics and reactive power with 3D SVM. ISA Trans. 57, 360–372 (2015). https://doi.org/10.1016/j.isatra.2015.01.011
Sasaki, H.; Machida, T.: A new method to eliminate AC harmonic currents by magnetic compensation–consideration on basic design. IEEE Trans. Power Appl. Syst. 90, 2009–2019 (1971)
Shankar, V.K.A.; Kumar, N.S.: Implementation of shunt active filter for harmonic compensation in a 3 phase 3 wire distribution network. Energy Procedia 117, 172–179 (2017). https://doi.org/10.1016/j.egypro.2017.05.120
Abdul Rahman, N.F.; Mohd Radzi, M.A.; Che Soh, A.; Mariun, N.; Abd Rahim, N.: Significant insights into the operation of DC-link voltage control of a shunt active power filter using different control algorithms: a comparative study. Turk. J. Electr. Eng. Comput. Sci. 25, 2033–2043 (2017). https://doi.org/10.3906/elk-1504-17
Prakash Mahela, O.; Gafoor Shaik, A.: Topological aspects of power quality improvement techniques: a comprehensive overview. Renew. Sustain. Energy Rev. 58, 1129–1142 (2016). https://doi.org/10.1016/j.rser.2015.12.251
Benaissa, A.; Rabhi, B.; Benkhoris, M.F.; Zellouma, L.: An investigation on combined operation of five-level shunt active power filter with PEM fuel cell. Electr. Eng. 99, 649–663 (2017). https://doi.org/10.1007/s00202-016-0394-1
Saad, S.; Zellouma, L.: Fuzzy logic controller for three-phase shunt active filter compensating harmonics and reactive power simultaneously. Electr. Power Syst. Res. 79, 1337–1341 (2009). https://doi.org/10.1016/j.epsr.2009.04.003
Zellouma, L.; Rabhi, B.; Krama, A.; Benaissa, A.; Benkhoris, M.F.: Simulation and real time implementation of three phase four wire shunt active power filter based on sliding mode controller. Rev. Roum. Des Sci. Tech. Ser. Electrotech. Energ. 63, 77–82 (2018)
Benchouia, M.T.; Ghadbane, I.; Golea, A.; Srairi, K.; Benbouzid, M.E.H.: Implementation of adaptive fuzzy logic and PI controllers to regulate the DC bus voltage of shunt active power filter. Appl. Soft Comput. J. 28, 125–131 (2015). https://doi.org/10.1016/j.asoc.2014.10.043
Pigazo, A.; Moreno, V.M.; Estébanez, E.J.: A recursive park transformation to improve the performance of synchronous reference frame controllers in shunt active power filters. IEEE Trans. Power Electron. 24, 2065–2075 (2009). https://doi.org/10.1109/TPEL.2009.2025335
Chaoui, A.; Gaubert, J.-P.; Krim, F.: Power quality improvement using DPC controlled three-phase shunt active filter. Electr. Power Syst. Res. 80, 657–666 (2010). https://doi.org/10.1016/j.epsr.2009.10.020
Krama, A.; Laid, Z.; Boualaga, R.: Anti-windup proportional integral strategy for shunt active power filter interfaced by photovoltaic system using technique of direct power control. Rev. Roum. Sci. Techn. Electrotechn. Energ. 62, 252–257 (2017)
Aissa, O.; Moulahoum, S.; Colak, I.; Babes, B.; Kabache, N.: Analysis and experimental evaluation of shunt active power filter for power quality improvement based on predictive direct power control. Environ. Sci. Pollut. Res. (2017). https://doi.org/10.1007/s11356-017-0396-1
Ouchen, S.; Betka, A.; Gaubert, J.; Abdeddaim, S.: Simulation and real time implementation of predictive direct power control for three phase shunt active power filter using robust phase-locked loop. Simul. Model. Pract. Theory 78, 1–17 (2017). https://doi.org/10.1016/j.simpat.2017.08.003
Subudhi, B.; Panda, P.C.; Panigrahi, R.: Model predictive-based shunt active power filter with a new reference current estimation strategy. IET Power Electron. 8, 221–233 (2015). https://doi.org/10.1049/iet-pel.2014.0276
Boukezata, B.; Gaubert, J.P.; Chaoui, A.; Hachemi, M.: Predictive current control in multifunctional grid connected inverter interfaced by PV system. Sol. Energy 139, 130–141 (2016). https://doi.org/10.1016/j.solener.2016.09.029
Bouafia, A.; Gaubert, J.-P.; Krim, F.: Predictive direct power control of three-phase pulsewidth modulation (PWM) rectifier using space-vector modulation (SVM). IEEE Trans. Power Electron. 25, 228–236 (2010). https://doi.org/10.1109/TPEL.2009.2028731
Tarisciotti, L.; Formentini, A.; Gaeta, A.; Degano, M.; Zanchetta, P.; Rabbeni, R.; Pucci, M.: Model predictive control for shunt active filters with fixed switching frequency. IEEE Trans. Ind. Appl. (2016). https://doi.org/10.1109/TIA.2016.2606364
van der Lee, J.H.; Svrcek, W.Y.; Young, B.R.: A tuning algorithm for model predictive controllers based on genetic algorithms and fuzzy decision making. ISA Trans. 47, 53–59 (2008). https://doi.org/10.1016/j.isatra.2007.06.003
Sakthivel, A.; Vijayakumar, P.; Senthilkumar, A.; Lakshminarasimman, L.; Paramasivam, S.: Experimental investigations on ant colony optimized PI control algorithm for shunt active power filter to improve power quality. Control Eng. Pract. 42, 153–169 (2015). https://doi.org/10.1016/j.conengprac.2015.04.013
Kabalci, Y.; Kockanat, S.; Kabalci, E.: A modified ABC algorithm approach for power system harmonic estimation problems. Electr. Power Syst. Res. 154, 160–173 (2018). https://doi.org/10.1016/j.epsr.2017.08.019
Sun, J.; Lai, C.; Wu, X.: Particle Swarm Optimization: Classical and Quantum Perspectives. CRC Press, Boca Raton (2012)
Eberhart, R.; Kennedy, J.: A new optimizer using particle swarm theory. In: Proceedings of Sixth International Symposium on Micro Machine and Human Science, pp. 39–43 (1995). https://doi.org/10.1109/MHS.1995.494215
Sadollah, A.; Bahreininejad, A.; Eskandar, H.; Hamdi, M.: Mine blast algorithm: a new population based algorithm for solving constrained engineering optimization problems. Appl. Soft Comput. J. 13, 2592–2612 (2013). https://doi.org/10.1016/j.asoc.2012.11.026
Abido, M.A.: Optimal design of power-system stabilizers using particle swarm optimization. IEEE Trans. Energy Convers. 17, 406–413 (2002). https://doi.org/10.1109/TEC.2002.801992
Ghadimi, N.; Afkousi-Paqaleh, A.; Emamhosseini, A.: A PSO-based fuzzy long-term multi-objective optimization approach for placement and parameter setting of UPFC. Arab. J. Sci. Eng. 39, 2953–2963 (2014). https://doi.org/10.1007/s13369-013-0884-7
vandenBergh, F.; Engelbrecht, A.P.: A cooperative approach to particle swarm optimization. IEEE Trans. Evol. Comput. 8, 225–239 (2004). https://doi.org/10.1109/TEVC.2004.826069
Pati, S.; Sahu, B.K.; Panda, S.: Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system. IET Gener. Transm. Distrib. 8, 1789–1800 (2014). https://doi.org/10.1049/iet-gtd.2014.0097
Benhabib, M.C.; Saadate, S.: A new robust experimentally validated phase-locked loop for power electronic control. EPE J. 15, 36–48 (2005). https://doi.org/10.1080/09398368.2005.11463595
Rodriguez, J.; Cortés, P.: Predictive Control of Power Converters and Electrical Drives. Wiley, New York (2012)
Ohr, J.: Signals and Systems Anti-windup and Control of Systems with Multiple Input Saturations Tools, Solutions and Case Studies (2003)
Krama, A.; Zellouma, L.; Rabhi, B.: Improved control of shunt active power filter connected to a photovoltaic system using technique of direct power control. In: Proceedings of 2016 8th International Conference on Modelling, Identification and Control, ICMIC 2016 (2017)
Shi, Y.; Eberhart, R.: A modified particle swarm optimizer. In: 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence. (Cat. No.98TH8360), pp. 69–73 (1998). https://doi.org/10.1109/ICEC.1998.699146
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The authors gratefully acknowledge the Algerian General Direction of Research for providing the facilities to accomplish this project.
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Krama, A., Zellouma, L., Benaissa, A. et al. Design and Experimental Investigation of Predictive Direct Power Control of Three-Phase Shunt Active Filter with Space Vector Modulation using Anti-windup PI Controller Optimized by PSO. Arab J Sci Eng 44, 6741–6755 (2019). https://doi.org/10.1007/s13369-018-3611-6
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DOI: https://doi.org/10.1007/s13369-018-3611-6