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Due to its multiple advantages in industrial and grid-connected applications, Multi-Level Inverters (MLIs) have increased in popularity in recent years. To improve the efficiency of a grid-connected PV system's integrated multi-level inverter fractional order PI (FOPI) controllers are used to describe the control process. The control system is made up of three control loops based on FOPI controllers: one for controlling the intermediate circuit voltage (Vdc) and the other two for controlling the direct and quadratic currents (Id, Iq) supplied by the multilevel inverter. The proposed controller parameters (Kp, KI, λ) must be selected in order to increase the efficiency of the multi-level inverter while decreasing the total harmonic distortion (THD) of the output current of the inverter as well as voltage. For this we used three meta-heuristic algorithms (PSO, ABC, GWO). The performance of the three controllers PSO-FOPI, ABC-FOPI and GWO-FOPI controller is compared. The findings showed that GWO-FOPI performs better than the other PSO-FOPI and ABC-FOPI in accuracy and total harmonic distortion THD term. The simulation will be conducted using Matlab/Simulink.
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Tom
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art. no. 2023311
Opis fizyczny
Bibliogr. 36 poz., rys., tab.
Twórcy
autor
- Electrical engineering department, LARHYSS Laboratory, University of Biskra, B.P.145, Algeria
autor
- Electrical engineering department, LARHYSS Laboratory, University of Biskra, B.P.145, Algeria
autor
- Laboratoire de Génie Electrique (LGE), Université de M’sila, M’sila, Algérie
Bibliografia
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- 2. Katir H, Abouloifa A, Lachkar I, Noussi K, Giri F, Guerrero JM. Advanced nonlinear control of a gridconnected photovoltaic power system using ncascaded h-bridge multilevel inverters. IFAC-Papers On Line 2020; 53(2): 12859-12864. https://doi.org/10.1016/j.ifacol.2020.12.2095.
- 3. Choi U-M, Ryu T. Comparative evaluation of efficiency and reliability of single-phase five-level NPC inverters for photovoltaic systems. IEEE Access 2021; 9: 120638-120651. https://doi.org/10.1109/ACCESS.2021.3108188.
- 4. Dehghani Tafti H, Maswood AI, Ukil A, Gabriel OHP, Ziyou L. NPC photovoltaic grid-connected inverter using proportional-resonant controller. IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) 2014: 1-6. https://doi.org/10.1109/APPEEC.2014.7066201.
- 5. Kumar S, Pal Y. A three-phase asymmetric multilevel inverter for standalone PV systems. 6th International Conference on Signal Processing and Integrated Networks (SPIN) 2019; 357-361. https://doi.org/10.1109/SPIN.2019.8711605.
- 6. Mehta S, Puri V. A review of different multi-level inverter topologies for grid integration of solar photovoltaic system. Renewable energy focus 2022 43: 263-276. https://doi.org/10.1016/j.ref.2022.10.002.
- 7. Ravi A, Manoharan PS, Vijay Anand J. Modeling and simulation of three phase multilevel inverter for grid connected photovoltaic systems. Solar Energy 2011; 85(11): 2811-2818. https://doi.org/10.1016/j.solener.2011.08.020.
- 8. Ahmad ME, Numan AH, Mahmood DY. Enhancing performance of grid-connected photovoltaic systems based on three-phase five-level cascaded inverter. International Journal of Power Electronics and Drive Systems (IJPEDS) 2021; 12(4): 2295-2304. http://doi.org/10.11591/ijpeds.v12.i4.pp2295-2304.
- 9. Gouda EA, Kotb MF, Elalfy DA. Modelling and performance analysis for a PV system based MPPT using advanced techniques. European Journal of Electrical Engineering and Computer Science 2019; 3(1). https://doi.org/10.24018/ejece.2019.3.1.47.
- 10. Mukherjee D, Mallick S. A reduced switch multilevel inverter connecting PV system with power grid through an islanding switch. IFAC-PapersOnLine 2022; 55(1): 955-960. https://doi.org/10.1016/j.ifacol.2022.04.157.
- 11. Boucheriette W, Moussi A, Mechgoug R, Benguesmia H. A multilevel inverter for gridconnected photovoltaic systems optimized by genetic algorithm. Engineering, Technology and Applied Science Research (ETASR) 2023; 13(2): 10249- 10254. https://doi.org/10.48084/etasr.5558.
- 12. Lakshmi M, Hemamalini S. Decoupled control of grid connected photovoltaic system using fractional order controller. Ain Shams Engineering Journal 2018; 9(4): 927-937. https://doi.org/10.1016/j.asej.2016.06.002.
- 13. Ghobashy RH, Ismail Ali MM, Moustafa Hassan MA. Voltage regulation of PV system connected to grid based on FOPID controllers using evolutionary computational techniques. Twentieth International Middle East Power Systems Conference (MEPCON) 2018 33-38. https://doi.org/10.1109/MEPCON.2018.8635121.
- 14. Kumar A, Kumar V. Hybridized ABC-GA optimized fractional order fuzzy pre-compensated FOPID control design for 2-DOF robot manipulator. AEUinternational journal of electronics and communications 2017; 79: 219-233. https://doi.org/10.1016/j.aeue.2017.06.008.
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- 17. Osman MH, Elseify MA, Ahmed MK, Korovkin NV, Refaat A. Maximum power point tracking for grid-tied PV system using adaptive neuro-fuzzy inference system. International Conference on Electrotechnical Complexes and Systems (ICOECS) 2021; 534-540. http://doi.org/10.1109/ICOECS52783.2021.9657445.
- 18. Al-Dhaifallah M. Fuzzy fractional-order PID control for heat exchanger. Alexandria Engineering Journal 2023; 63: 11-16. https://doi.org/10.1016/j.aej.2022.07.066.
- 19. Busquets-Monge S, Rocabert J, Rodriguez P, Alepuz S, Bordonau J. Multilevel diode-clamped converter for photovoltaic generators with independent voltage control of each solar array. IEEE Transactions on Industrial Electronics 2008; 55(7): 2713-2723. https://doi.org/10.1109/TIE.2008.924011.
- 20. Blaabjerg F, Chen Z, Kjaer SB. Power electronics as efficient interface in dispersed power generation systems. IEEE Transactions on Power Electronics 2004 19(5): 1184-1194. https://doi.org/10.1109/TPEL.2004.833453.
- 21. Saoudi M, Benguesmia H, Chouder A. Processor-inthe-loop validation of an observer current-based deadbeat control for a single-phase UPS inverter. Engineering, Technology and Applied Science Research (ETASR) 2023; 13(1): 10158-10164. https://doi.org/10.48084/etasr.5516.
- 22. Mechgoug R, Boucheritte W, Benguesmia H. Fuzzy fractional order PI controller for a multilevel inverter for grid-connected photovoltaic systems (PV). Przegląd Elektrotechniczny 2023; 8: 146-153. Https://doi.org/10.15199/48.2023.08.26.
- 23. Abu-Rub H, Holtz J, Rodriguez J, Baoming G. Medium-voltage multilevel converters-state of the art, challenges, and requirements in industrial applications. IEEE Transactions on Industrial Electronics 2010; 57(8): 2581-2596. https://doi.org/10.1109/TIE.2010.2043039.
- 24. Sebaaly F, Kanaan HY, Moubayed N. Three-level neutral-point-clamped inverters in transformer less PV systems-state of the art. MELECON 17th IEEE Mediterranean Electrotechnical Conference 2014; 1-7. https://doi.org/10.1109/MELCON.2014.6820496.
- 25. Kalyan K, sir AO, sir RS. Applications of multilevel inverter for grid integration of renewable energy sources. 7th International Conference on Electrical Energy Systems (ICEES) 2021; 206-211. https://doi.org/10.1109/ICEES51510.2021.9383731.
- 26. Mehra V, Srivastava S, Varshney P. Fractional-order PID controller design for speed control of DC motor. 3rd International Conference on Emerging Trends in Engineering and Technology 2010; 422-425. https://doi.org/10.1109/ICETET.2010.123.
- 27. Sundaravadivu K, Arun B, Saravanan K. Design of fractional order PID controller for liquid level control of spherical tank. IEEE International Conference on Control System, Computing and Engineering 2011; 291-295. https://doi.org/10.1109/ICCSCE.2011.6190539.
- 28. Yang XS. Nature-inspired metaheuristic algorithms. second ed. Luniver Press 2010. https://www.researchgate.net/publication/235979455.
- 29. Vo S, Martello S, Osman IH, Roucairol C. Metaheuristics-advances and trends in local search paradigms for optimization. Springer 1999th ed. ISBN-13 :978-1461376460.
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- 31. Karakoyun M, Baykan NA, Hacibeyoglu M. Multilevel thresholding for image segmentation with swarm optimization algorithms. International Research Journal of Electronics & Computer Engineering 2017; 3(3): 1-6. https://doi.org/10.24178/irjece.2017.3.3.01.
- 32. Karaboga D, Akay B. A modified artificial bee colony (ABC) algorithm for constrained optimization problems. Applied Soft Computing 2011; 11(3): 3021- 3031. https://doi.org/10.1016/j.asoc.2010.12.001.
- 33. Ozger ZB, Bolat B, Diri B. A probabilistic multiobjective artificial bee colony algorithm for gene selection. JUCS - Journal of Universal Computer Science 2019; 25(4): 418-443. https://doi.org/10.3217/jucs-025-04-0418.
- 34. Tuncer A. 15-puzzle problem solving with the artificial bee colony algorithm based on pattern database. JUCS - Journal of Universal Computer Science 2021; 27(6): 635-645. https://doi.org/10.3897/jucs.65202.
- 35. Karaboğa D. An idea based on honey bee swarm for numerical optimization. In proceedings Karaboa ANIB 2005. https://api.semanticscholar.org/CorpusID:8215393.
- 36. Mirjalili S, Mirjalili SM, Lewis A. Grey wolf optimizer. Advances in Engineering Software 2014; 69: 46-61. http://dx.doi.org/10.1016/j.advengsoft.2013.12.007.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-47102632-31f6-4e50-b073-289015732a1d