Improved DFIG DFTC by using a fractional-order super twisting algorithms in wind power applications
- Авторы: Almakki А.1, Mazalov A.А.2
-
Учреждения:
- Kazan National Research Technical University named after A. N. Tupolev
- South Federal University
- Раздел: Оригинальные статьи
- URL: https://journals.eco-vector.com/transsyst/article/view/71921
- DOI: https://doi.org/10.17816/transsyst202173%25p
- ID: 71921
Цитировать
Полный текст
Аннотация
Background: The direct flux and torque control are a robust, simple, and alternative approach control formulation that does not require decomposition into symmetrical components; the direct flux and torque control schemes have been proved to be preponderant for doubly-fed induction generators due to the simple implementation.
Aim: This work presents the minimization of electromagnetic torque and rotor flux undulations of doubly-fed induction generators using fractional-order super twisting algorithms and modified space vector modulation techniques.
Methods: The main role of direct flux and torque control is to regulate and control the electromagnetic torque and rotor flux of doubly-fed induction generators for wind turbine systems. The direct flux and torque control is a traditional control algorithm and robust technique. Fractional-order super twisting algorithms are a new and proposed nonlinear controller; characterized by a robust controller and a simpler algorithm, which gives a good harmonic distortion of current compared to other methods.
Novelty: The A fractional-order super twisting algorithm is proposed. Proposed nonlinear controller construction is based on the traditional super twisting algorithm and fractional calculus to obtain a robust controller and reduces the electromagnetic torque and rotor flux undulations of doubly-fed induction generators. We use in our study a 1.5 MW doubly-fed induction generator integrated into a single-rotor wind turbine system to minimizes the electromagnetic torque, stator current, rotor flux undulations. As shown in the results figures using fractional-order super twisting algorithms ameliorate effectiveness especially minimizes the electromagnetic torque and rotor flux, and minimizes harmonic distortion of stator current (0.16 %) compared to the traditional control scheme.
Results: As shown in the results figures using fractional-order super twisting algorithms ameliorate effectiveness especially minimizes the electromagnetic torque and rotor flux, and minimizes harmonic distortion of stator current (0.16 %) compared to the traditional control scheme.
Conclusion: The direct flux and torque control are a robust, simple, and alternative approach control formulation that does not require decomposition into symmetrical components; the direct flux and torque control schemes have been proved to be preponderant for doubly-fed induction generators due to the simple implementation.
Об авторах
Али Надхим Джбарах Almakki
Kazan National Research Technical University named after A. N. Tupolev
Автор, ответственный за переписку.
Email: alinadhimj@gmail.com
ORCID iD: 0000-0002-0061-6425
Ирак, 420111, Российская Федерация, г. Казань, ул. К. Маркса, 10
Andrey Андреевич Mazalov
South Federal University
Email: anmaz8@list.ru
ORCID iD: 0000-0003-3761-0059
SPIN-код: 6534-7455
Scopus Author ID: 55927486000
PhD, Аssociate Рrofessor, Academy of Engineering and Technology, Institute of Radio Engineering Systems and Control, Department of Electrical Engineering and Mechatronics
Россия, Rostov-On-Don, RussiaСписок литературы
- Liu D, Polinder H, Abrahamsen AB, Ferreira JA. Effects of armature winding segmentation with multiple converters on the short circuit torque of 10-MW superconducting wind turbine generators. IEEE Transactions on Applied Superconductivity. 2017; 27(4):1-5. doi: 10.1109/TASC.2016.2639029
- Djeriri Y. Lyapunov-based robust power controllers for a doubly fed induction generator. Iranian Journal of Electrical and Electronic Engineering. 2020; 16(4):551-558. doi: 10.22068/IJEEE.16.4.551
- Prasad R, Padhy NP. Synergistic frequency regulation control mechanism for DFIG wind turbines with optimal pitch dynamics. IEEE Transactions on Power Systems. 2020; 35(4):3181-3191. doi: 10.1109/TPWRS.2020.2967468
- Mondal S, Kastha D. Input reactive power controller with a novel active damping strategy for a matrix converter fed direct torque controlled DFIG for wind power generation. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2020; 8(4):3700-3711. doi: 10.1109/JESTPE.2019.2938012
- Yu SS, Zhang G, Fernando T, Iu HH. A DSE-Based SMC method of sensorless DFIG wind turbines connected to power grids for energy extraction and power quality enhancement. IEEE Access, 2018;6:76596-76605. doi: 10.1109/ACCESS.2018.2883591
- Benbouhenni H, Boudjema Z, Belaidi A. DPC based on ANFIS super-twisting sliding mode algorithm of a doubly-fed induction generator for wind energy system. Journal Européen des Systèmes Automatisés, 2020;53(1):69-80.
- Prasad RM, Mulla MA. A novel position-sensorless algorithm for field-oriented control of DFIG with reduced current sensors. IEEE Transactions on Sustainable Energy. 2019;10(3):1098-1108. doi: 10.1109/TSTE.2018.2860993
- Mondal S, Kastha D. Improved direct torque and reactive power control of a matrix-converter-fed grid-connected doubly fed induction generator. IEEE Transactions on Industrial Electronics, 2015;62(12):7590-7598. doi: 10.1109/TIE.2015.2459056
- Zhang Z, Tang R, Bai B, Xie D. Novel direct torque control based on space vector modulation with adaptive stator flux observer for induction motors. IEEE Transactions on Magnetics. 2010;46(8):3133-3136. doi: 10.1109/TMAG.2010.2051142
- Benbouhenni H. Four-level direct torque control of permanent magnet synchronous motor based on neural networks with regulation speed using neural PI controller. Majlesi Journal of Mechatronic Systems, 2019;8(4):1-10.
- Benbouhenni H, Boudjema Z. Two-level DTC based on ANN controller of DFIG using 7-level hysteresis command to reduce flux ripple comparing with traditional command. 2018 International Conference on Applied Smart Systems (ICASS). November 24-25. Medea, Algeria. 2018. doi: 10.1109/ICASS.2018.8652013
- Zhang Z, Zhao Y, Qiao W, Qu L. A discrete-time direct torque control for direct-drive PMSG-based wind energy conversion systems. IEEE Transactions on Industry Applications. 2015;51(4):3504-3514. doi: 10.1109/TIA.2015.2413760
- El Ouanjli N, Motahhir S, Derouich A, El Ghzizal A, Chebabhi A, Taoussi M. Improved DTC strategy of doubly fed induction motor using fuzzy logic controller. Energy Reports. 2019;5:271-279. doi: 10.1016/j.egyr.2019.02.001
- Benbouhenni H. Torque ripple reduction of DTC DFIG drive using neural PI regulators. Majlesi Journal of Energy Management. 2019;8(2):21-26.
- Arbi J, Ghorbal MJ, Slama-Belkhodja I, Charaabi L. Direct virtual torque control for doubly fed induction generator grid connection. IEEE Transactions on Industrial Electronics. 2009;56(10):4163-4173. doi: 10.1109/TIE.2009.2021590
- Giribabu D, Kumar A. Comparative study of control strategies for the induction generators in wind energy conversion system. Wind and Structures.2016;22(6):635-662. doi: 10.12989/was.2016.22.6-.635
- Boudjema Z, Taleb R, Djerriri Y, Yahdou A. A novel direct torque control using second order continuous sliding mode of a doubly fed induction generator for a wind energy conversion system. Turkish Journal of Electrical Engineering & Computer Sciences. 2017;25(2): 965-975.
- Farid B, Tarek B, Sebti B. Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine. International Journal of Electrical and Computer Engineering. 2021;11(5). doi: 10.11591/ijece.v11i5.pp%25p
- Benbouhenni H. Utilization of an ANFIS-STSM algorithm to minimize total harmonic distortion. International Journal of Smart Grid. 2020;4(2):56-67.
- Benbouhenni H. Stator current and rotor flux ripples reduction of DTC DFIG drive using FSTSMC algorithm. International Journal of Smart Grid. 2019;3(4).
- Benbouhenni H. Rotor flux and torque ripples minimization for direct torque control of DFIG by NSTSM algorithm. Majlesi Journal of Energy Management. 2018;7(3).
- Amrane F, Chaiba A. A novel direct power control for grid-connected doubly fed induction generator based on hybrid artificial intelligent control with space vector modulation. Rev. Sci. Techni.-Electrotechn. Et Energ. 2016;61(3):263-268.
- Tavakoli SM, Pourmina MA, Zolghadri MR. Comparison between different DPC methods applied to DFIG wind turbines. International Journal of Renewable Energy Research. 2013;3(2):446-452.
- Listwan J. Application of super-twisting sliding mode controllers in direct field-oriented control system of six-phase induction motor: experimental studies. Power Electronics and Drives. 2018;3(1):23-34. doi: 10.2478/pead-2018-0013.
- Nieto JJ. Maximum principles for fractional differential equations derived from mittag-leffler functions. Applied Mathematics Letters. 2010;23(10):1248-1251. doi: 10.1016/j.aml.2010.06.007
- Chen H, Wei X, Chen X, Jingang H, Aït-Ahmed N, Zhibin Z, Tianhao T, Mohamed B. Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine. J. Mar. Sci. Eng. 2020;8(5)1-23. doi: 10.-3390/jmse8050309
- Ebrahimkhani S. Robust fractional order sliding mode control of doubly-fed induction generator (DFIG)-based wind turbines. ISA Transactions, 2016;63:343-354. doi: 10.1016/j.isatra.2016.0-3.003
- Xiong L, Wang J, Mi X, Khan MW. Fractional order sliding mode based direct power control of grid-connected DFIG. IEEE Transactions on Power Systems. 2018;33(3):3087-3096. doi: 10.1109/TPWRS.201-7.2761815
- Azza A, Kherfane H. Robust control of doubly fed induction generator using fractional order control. International Journal of Power Electronics and Drive System. 2018;9(3):1072-1080. doi: 10.11591/ij-peds.v9.i3.pp1072-1080
- Kashkooli MRA, Madani SM, Lipo TA. Improved Direct Torque Control for a DFIG under Symmetrical Voltage Dip With Transient Flux Damping. IEEE Transactions on Industrial Electronics. 2020;67(1):28-37. doi: 10.1109/TIE.2019.2893856
- Cherifi D. Improvement technique of direct torque control of DFIG based in wind energy conversion system. Global Journal of Information Technology: Emerging Technologies. 2020;10(1):22-34. doi: 10.18844/gjit.v10i1.4630
- Benbouhenni H, Boudjema Z, Belaidi A. Power Control of DFIG in WECS Using DPC and NDPC-NPWM Methods. Mathematical Modelling of Engineering Problems. 2020;7(2):223-236.
- Benbouhenni H, Boudjema Z, Belaidi A. Direct power control with NSTSM algorithm for DFIG using SVPWM technique. Iranian Journal of Electrical & Electronic Engineering. 2021;17(1):1-11.