Hybrid Fuzzy-PI Control of DFIG Power Associated With a Variable Speed Wind Energy Conversion System
محورهای موضوعی : Electrical Engineering
Hedayat Akhbari
1
(Department of Electrical Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran.)
Javad Mashayekhifard
2
(Department of Electrical Engineering, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran.)
کلید واژه: PID Controller, WECS, DFIG, Wind power generarion, Hybrid Fuzzy-PI controller,
چکیده مقاله :
The rotor side converter (RSC) controls active and receptive powers at the stator side of DFIG. The turbine current in axis d (id) is modeled utilizing the parameters of a 660 kW wind turbine. The appraised wind speed within the specified wind turbine is 15 (m/s) and the wind cut-in and cut-out speed is 4 (m/s) and 25 (m/s) individually. In this paper, we utilized tuning the hybrid fuzzy PI controller based on the Mamdani inference system and selecting the triangular membership functions, and compare with three strategies. The proposed strategy is way better than a conventional PID controller, fuzzy logic, and hybrid fuzzy-PI controllers with Gaussian membership functions for active and reactivepower control. Simulation and comparison think about are utilized to appear the effectiveness of the proposed hybrid fuzzy-PI controllers with triangular membership functions and fewer errors, ripple, and overshoot have been gotten.
[1] “Global Statistics Gwec,” Gwec, 2022. [Online]. Available: http://gwec.net/global-figures/graphs/%0A.
[2] “Detailed statistics of Iran’s power industry, power generation in 1390,” in Detailed statistics of Iran’s power industry, power generation in 1390, Tavanir Specialist Company, 2012.
[3] “Energy balance sheet of 1392,” in Energy balance sheet of 1392, Tehran: Office of Planning for Electricity and Energy, Deputy of Electricity and Energy Affairs, Ministry of Energy, 2013.
[4] “Detailed statistics of Iran’s power industry for strategic management in 1396,” in Detailed statistics of Iran’s power industry for strategic management in 1396, Tavanir Specialist Company, 2018.
[5] S. Demirbas, “Self-tuning fuzzy-PI-based current control algorithm for doubly fed induction generator,” IET Renew. Power Gener., vol. 11, no. 13, pp. 1714–1722, 2017.
[6] R. Pena, R. Cardenas, G. Asher, and Salvador Alepuz, “Overview of control systems for the operation of DFIGs in wind energy applications,” IECON Proc. Industrial Electron. Conf., vol. 60, no. 7, pp. 88–95, 2013.
[7] S. K. Raju and G. N. Pillai, “Design and Implementation of Type-2 Fuzzy Logic Controller for DFIG-Based Wind Energy Systems in Distribution Networks,” Sustain. Energy, IEEE vol. 7, no. 1, pp. 345–353, 2016.
[8] E. Hosseini, N. Behzadfar,M. Hashemi, M. Moazzami, and M. Dehghani, "Control of pitch angle in wind turbine based on doubly fed induction generator using fuzzy logic method", Journal of Renewable Energy and Environment (JREE), Vol. 9, No. 2, (2022), 1-7.
[9] A. Dida and D. Benattous, “Multilevel Converters using Fuzzy Logic Controller,” J. Control. Autom. Electr. Syst., vol. 26, no. 5, pp. 506–520, 2015.
[10] A.A. Chhipą, P. Chakrabarti, V. Bolshev, T. Chakrabarti, G. Samarin, A.N. Vasilyev, S. Ghosh, " Modeling and Control Strategy of Wind Energy Conversion System with Grid-Connected Doubly-Fed Induction Generator," Energies, vol. 15, 2022.
[11]S.M.H. Hosseini, A. Rezvani, "Modeling and Simulation to Optimize Direct Power Control of DFIG in Variable-Speed Pumped-Storage Power Plant Using Teaching–learning-Based OptimizationTechnique," Soft Comput. vol. 24, pp. 16895–16915, 2020.
[12] A.A Chhipa, V. Kumar, S. Vyas, R.R. Joshi, "MPPT Optimisation Techniques and Power Electronics for Renewable Energy Systems: Wind and Solar Energy Systems. " Int. J. Swarm Intell. 2021, vol 1, no.1.
[13] H. Nian, Y. Xu, L. Chen and M. Zhu, "Modeling and Analysis of DC-Link Dynamics in DFIG System With an Indicator Function," in IEEE Access, vol. 7, pp. 125401-125412, 2019.
[14] S. Mishra, S. Shukla, N. Verma, and Ritu, “Comprehensive review on Maximum Power Point Tracking techniques: Wind Energy,” 2015 Commun. Control Intell. Syst., pp. 464–469, 2015.
[15] A. Acakpovi and E. Ben Hagan, “A Wind Turbine System Model using a Doubly-Fed Induction Generator (DFIG),” Int. J. Comput. Appl., vol. 90, no. 15, pp. 6–11, 2014.
[16] DNV/Riso, Guidelines for Design of Wind Turbines, vol. 29, no. 2. 2002.
[17] E. Kulunk, Aerodynamics of Wind Turbines. 2011.
[18] T. Ackermann, Wind Power in Power Systems, vol. 140, no. February. 2005.
[19] J. Gambhir and T. Tilak, “Modeling and control of large wind farm based on DFIG using classical PI and Fuzzy Logic Controller (FLC),” in International conference on Smart Technology for Smart Nation, 2017, pp. 454–459.
[20] Vestas Wind Systems, “V47–660 kW with OptiTip and OptiSlip. [Online],” 2011. [Online]. Available: https://sti2d.ecolelamache.org/ressources/EE/premiere/TP/serie 2/Vestas_V47.pdf.
[21] O. Rahat, “Enhancing Transient Stability in Limited Variable Speed Induction Generator ( Optislip ) Based Wind Turbine ( Case study : Binalood Wind Farm ),” Eng. Technol. Appied Sci. Reseearch, vol. 6, no. 6, pp. 1280–1287, 2016.
[22] F. Sastrowijoyo, K. Yim, and J. Choi, “Comparative study of PI and fuzzy controller for rotor side converter of DFIG,” in Conference Proceedings - 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012, 2012.
[23] A. Ashouri-Zadeh, M. Toulabi, S. Bahrami, and A. M. Ranjbar, “Modification of DFIG’s Active Power Control Loop for Speed Control Enhancement and Inertial Frequency Response,” IEEE Trans. Sustain. Energy, vol. 8, no. 4, pp. 1772–1782, 2017.
[24] M. Hilal, Y. Errami, M. Benchagra, and M. Maaroufi, “Fuzzy Power Control for Doubly,” J. Theor. Appl. Inf. Technol., vol. 43, no. 2, 2012.
[25] S. Muralidharan, T. Balasubramaniyam , K.S. Prethesh Kumar , C. Aswin, Performance analysis of controllers in BLDC motor, International Conference on Smart Engineering for Renewable Energy Technologies, Tamil Nadu, India , march 2023.
