• صفحه اصلی
  • ارائه ساختار بهبود یافته و استراتژی کنترلی تطبیقی برای سیستم خورشیدی با قابلیت بهبود کیفیت توان در ریزشبکه جزیره ای

اشتراک گذاری

آدرس مقاله


کد مقاله : TEEGES-2305-1073 (R1) بازدید : 398 صفحه: 18 - 37

10.30486/teeges.2023.1986388.1073

نوع مقاله: پژوهشی

ارائه ساختار بهبود یافته و استراتژی کنترلی تطبیقی برای سیستم خورشیدی با قابلیت بهبود کیفیت توان در ریزشبکه جزیره ای

محورهای موضوعی : مهندسی برق قدرت

رضا قبادی نژاد 1 , غضنفر شاهقلیان 2

1 - دانشکده مهندسی برق، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ایران|مرکز تحقیقات ریزشبکه های هوشمند، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
2 - دانشکده مهندسی برق، واحد نجف‌آباد، دانشگاه آزاد اسلامی، نجف‌آباد، ایران|مرکز تحقیقات ریزشبکه های هوشمند، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران

تاریخ دریافت : 1402/02/27 تاریخ پذیرش : 1402/05/17 تاریخ انتشار : 1402/12/01

کلید واژه: کیفیت توان, کنترل‌کننده تطبیقی, ریزشبکه جزیره‌ای, محدودسازی جریان,

چکیده مقاله :

امروزه با توجه به افزایش روز افزون قیمت سوخت‌های فسیلی و همچنین افزایش نگرانی در زمینه آلودگی محیط زیست، استفاده از منابع تجدیدپذیر مانند سیستم‌های فتوولتائیک (PV) افزایش یافته ‌است. با این وجود نبود یک ساختار و استراتژی کنترلی بهینه برای سیستم‌های PV، یک چالش مهم در زمینه استفاده حداکثری از قابلیت‌های بلقوه این منابع محسوب می‌شود. در این مقاله یک ساختار مناسب و همچنین یک استراتژی کنترلی تطبیقی برای سیستم‌های PV پیشنهاد شده که امکان استفاده حداکثری از قابلیت‌های سیستم‌ PV در ریزشبکه‌های جزیره‌ای را فراهم می‌سازد. ساختار و استراتژی کنترلی پیشنهادی مبتنی بر مبدل دو مرحله‌ای است که امکان ردیابی نقطه حداکثر توان PV، تزریق توان تولیدی PV به ریزشبکه با حداقل سطح هارمونیک و همچنین بهبود کیفیت توان ریزشبکه از طریق جبران‌سازی مولفه‌های هارمونیکی را فراهم می‌سازد. در این روش، وظایف مبدل DC/AC شامل تزریق توان اکتیو PV به ریزشبکه، تامین توان راکتیو و جبران‌سازی هارمونیکی با در نظر گرفتن محدود‌سازی پیک جریان اولویت‌بندی و مدیریت می‌شود تا از اضافه جریان شدن اینورتر جلوگیری گردد. همچنین یک کنترل‌کننده تطبیقی طراحی شده که باعث بهبود دقت و سرعت کنترل توان می‌گردد. ساختار و استراتژی پیشنهادی با شبیه‌سازی یک ریزشبکه نمونه در سیمولینک متلب مورد ارزیابی قرار گرفته ‌است. نتایج شبیه‌سازی نشان می‌دهد که روش پیشنهادی امکان بهره‌برداری از سیستم خورشیدی در حداکثر توان و با حداقل سطح هارمونیک را فراهم ساخته و باعث بهبود قابل توجه در سرعت و دقت سیستم کنترلی و همچنین بهبود کیفیت توان ریزشبکه جزیره‌ای می‌شود.

چکیده انگلیسی:

Due to the ever-increasing price of fossil fuels and growing concerns about environmental pollution, the utilization of renewable resources, such as photovoltaic (PV) systems, has witnessed significant growth. However, the lack of an optimal structure and control strategy for PV systems poses a crucial challenge in fully exploiting their potential capabilities. This article proposes a suitable structure and adaptive control strategy for PV systems, enabling the maximum utilization of PV system capabilities in island microgrids. The proposed control structure and strategy are based on a two-stage converter, facilitating maximum power point tracking in PV, injecting the generated PV power into the microgrid with minimal harmonic levels, and improving the power quality of the microgrid by compensating for harmonic components. In this method, the tasks of the DC/AC converter, including the injection of PV active power into the microgrid, provision of reactive power, and harmonic compensation, are prioritized and managed by considering the current peak limitation to prevent inverter overcurrent. Additionally, an adaptive controller is designed to enhance the accuracy and speed of power control. The proposed structure and strategy have been evaluated by simulating a sample microgrid in MATLAB/Simulink. The simulation results demonstrate that the proposed method enables the PV system to operate at maximum power with minimum harmonic levels, leading to a significant improvement in the speed and accuracy of the control system and enhancing the power quality of the islanded microgrid.

منابع و مأخذ:


  1. P. Roy, J. He, T. Zhao and Y.V. Singh, "Recent advances of wind-solar hybrid renewable energy systems for power generation: A review", IEEE Open Journal of the Industrial Electronics Society, vol. 3, pp. 81-104, Jan. 2022, doi: 10.1109/OJIES.2022.3144093.
    2.
  2. A.A. Zamani, S.M. Kargar and A. Reisi, “Load frequency control in a hybrid power system considering renewable energy sources and electric vehicles using fractional order PID controller based on wavelet neural network”, Journal of Intelligent Procedures in Electrical Technology, vol. 15, no. 58, pp. 45-66, Sept. 2024, dor: 20.1001.1.2322‌387-1.1403.15.58.4.5.
    3.
  3. A.K. Behura, A. Kumar, D.K. Rajak, C.I. Pruncu and L. Lamberti, "Towards better performances for a novel rooftop solar PV system", Solar Energy, vol. 216, pp. 518-529, March 2021, doi: 10.1016/j.solener.2021.01.045 
    4.
  4. S. Semeskandeh, M. Hojjat, M. Hosseini-Abardeh, "Improving the efficiency of floating photovoltaic system in the northern part of Iran using a two-stage multi-string inverter", Journal of Intelligent Procedures in Electrical Technology, vol. 15, no. 57, pp. 85-98, June 2024, dor: 20.1001.1.23223871.1403.15.57.6.5.
    5.
  5. D. Kolantla, S. Mikkili, S.R. Pendem and A.A. Desai, "Critical review on various inverter topologies for PV system architectures", IET Renewable Power Generation, vol. 14, no. 17, pp. 3418-3438, Dec. 2020, doi: 10.1049/iet-rpg.2020.0317.
    6.
  6. O. Sharifiyana, M. Dehghani, G. Shahgholian, S.M.M. Mirtalaei, M. Jabbari, "Non-isolated boost converter with new active snubber structure and energy recovery capability", Journal of Circuits, Systems and Computers, vol. 32, no. 5, Article Number: 2350084, March 2023, doi: 10.1142/S0218126623500846.
    7.
  7. T. Mistry, J. Gupta and B. Singh, "A transformerless power conve‌rsion unit for grid connected solar PV system", Proceeding of the IEEE/PIICON, New Delhi, India, pp. 1-6, Nov. 2022, doi: 10.1109/PIICON56320.2-022.10045105. 
    8.
  8. M. Abbasi, M. Nafar and M. Simab, "Management and control of microgrids connected to three-phase network with the approach of activating current limitation under unbalanced errors using fuzzy intelligent method with the presence of battery, wind, photovoltaic and diesel sources", Journal of Intelligent Procedures in Electrical Technology, vol. 13, no. 49, pp. 55-66, June 2022, dor: 20.1001.1.23223871.1401.13.49.4.3.
    9.
  9. D. Taheri, G. Shahgholian and M.M. Mirtalaei, “Analysis, design and implementation of a high step-up multi-port non-isolated converter with coupled inductor and soft switching for photovoltaic applications”, IET Generation, Transmission and Distribution, vol. 16, no. 17, pp. 3473-3497, Sept. 2022, doi: 10.1049/gtd2.12537.
    10.
  10. M. Rahimi, B. Fani, M. Moazzami, M. Dehghani and G. Shahgholian, “An online free penetration multi-stage fuse saving protection scheme in distribution systems with photovoltaic sources”, Iranian Electric Industry Journal of Quality and Productivity, vol. 9, no. 2, pp. 24-35, 2020, doi:  10.29252/ieijqp.9.2.24.
    11.
  11. K. Guo, L. Cui, M. Mao, L. Zhou and Q. Zhang, "An improved gray wolf optimizer MPPT algorithm for PV system with BFBIC converter under partial shading", IEEE Access, vol. 8, pp. 103476-103490, June 2020, doi: 10.1109/ACCESS.2020.2999311. 
    12.
  12. M. Zand, M.A. Nasab, H.R. Hanif, M.R. Ghahri, S. Padmanaban and Baseem Khan, "A hybrid scheme for optimal performance of photovoltaic system converters with multilayer structure", The Journal of Engineering, vol. 2023, no. 1, Article Number: e12218, Jan. 2023, doi: 10.1049/tje2.12218. 
    13.
  13. P. García-Triviño, R. Sarrias-Mena, C.A. García-Vázquez, S. Leva and L.M. Fern "Optimal online battery power control of grid-connected energy-stored quasi-impedance source inverter with PV system", Applied Energy, vol. 329, pp. 120286-120296, Jan. 2023, doi: 10.101‌6/j.apenergy.2022.120286. 
    14.
  14. G. Yu, J. Dong, T. B. Soeiro, G. Zhu, Y. Yao and P. Bauer, "Three-mode variable-frequency zvs modulation for four-switch buck+boost converters with ultra-high efficiency", IEEE Transactions on Power Electronics, vol. 38, no. 4, pp. 4805-4819, April 2023, doi: 10.1109/TPEL.2022.3231969.
    15.
  15. K. Bandara, T. Sweet and J. Ekanayake, "Photovoltaic applications for off-grid electrification using novel multi-level inverter technology with energy storage", Renewable Energy, vol. 37, no. 1, pp. 82-88, Jan. 2012, doi: 10.1016/j.renene.2011.05.033. 
    16.
  16. A. Taghvaie, M. Zand, S. Padmanaban, M.A. Nasab and B. Khan, "A new step-up switched-capacitor voltage balancing converter for NPC multilevel inverter-based solar PV system", IEEE Access, vol. 8, pp. 83940-83952, May. 2020, doi: 10.1109/ACCESS.2020.2992161.
    17.
  17. J. Faiz, G. Shahgholian, M. Ehsan, "Modeling and simulation of the single phase voltage source UPS inverter with fourth order output filter", Journal of Intelligent Procedures in Electrical Technology, vol. 1, no. 4, pp. 63-58, Feb. 2011, dor: 20.1001.1.23223871.1389.1.4.8.3.
    18.
  18. M. Mohammadzamani, M. Moazzami, I. Sadeghkhani, "Voltage THD minimization in multilevel cascade inverters using repetitive quadratic programming", Journal of Intelligent Procedures in Electrical Technology, vol. 12, no. 48, pp. 31-42, March 2022, dor: 20.1001.1.23223871.1400.12.48.1.1.
    19.
  19. H. Moradmand-Jazi, E. Adib and B. Fani, “Investigation and improvement of high step- up converters for pv module applications”, Journal of Intelligent Procedures in Electrical Technology, vol. 7, no. 28, pp. 35-44, March 2017, dor: 20.1001.1.23223871.1395.7.28.4.9.
    20.
  20. S. Souri, H. Mohammadnezhad-Shourkaei, S. Soleymani and B. Mozafari, "Reactive power management in low voltage distribution networks using capability and oversizing of PV smart inverters", Journal of Intelligent Procedures in Electrical Technology, vol. 14, no. 56, pp. 21-42, March 2024, dor: 20.1001.1.232238‌71.14-02.14.56.2.2.
    21.
  21. R. Shahedi, K. Sabahi, M. Tayana, A. Hajizadeh, “Self-tuning fuzzy PID controller for load frequency control in ac micro-grid with considering of input delay”, Journal of Intelligent Procedures in Electrical Technology, vol. 9, no. 35, pp. 19-26, Dec. 2019, dor: 20.1001.1.23223871.1397.9.35.3.6.
    22.
  22. N. Taheri, H. Orojlo and F. Ebrahimi, "Damping controller design in offshore wind power plants to improve power system stability using fractional order PID controllers based on optimized exchange market algorithm", Journal of Intelligent Procedures in Electrical Technology, vol. 13, no. 51, pp. 89-108, Dec. 2022, dor: 20.1001.1.23223-871.1401.13.51.6.9.
    23.
  23. J. Hu, J. Zhu and D.G. Dorrell, "Model predictive control of grid-connected inverters for pv systems with flexible power regulation and switching frequency reduction", IEEE Transactions on Industrial Applications, vol. 51, no. 1, pp. 587-594, Jan./Feb. 2015, doi: 10.1109/TIA.2014.2349493. 
    24.
  24. O.P. Pahari and B. Subudhi, "Integral sliding mode-improved adaptive mppt control scheme for suppressing grid current harmonics for pv system", IET Renewable Power Gener., vol. 12, no. 16, pp. 1904–1914, Dec. 2018, doi: 10.1049/iet-rpg.2018.5215.
    25.
  25. M. Dhanalakshmi and V. Sankaranarayanan, "A novel nonlinear sliding mode controller for a single stage grid-connected photovoltaic system", ISA Transactions, vol. 107, pp. 329-339, Nov. 2020, doi: 10.1016/j.isat-ra.2020.08.016. 
    26.
  26. M. said Adouairi, B. Bossoufi, S. Motahhir and I. Saady, "Application of fuzzy sliding mode control on a single-stage grid-connected PV system based on the voltage-oriented control strategy", Results in Engineering, vol. 17, Article Number: 100822, Mar. 2023, doi: 10.1016/j.rineng.2020.100822. 
    27.
  27. N. Mahdian-Dehkordi, M. Namvar, H. Karimi, P. Piya and M Karimi-Ghartemani, "Nonlinear adaptive control of grid-connected three-phase inverters for renewable energy applications", International Journal of Control, vol. 90, no. 1, pp. 53-67, Jan. 2017, doi: 10.1080/00207179.2016.1151954. 
    28.
  28. A. Ghanem, M. Rashed, M. Sumner, M. A. Elsayes and I.I. Mansy, "Grid impedance estimation for islanding detection and adaptive control of converters", IET Power Electronics, vol. 10, no. 11, pp. 1279-1288, Sept. 2017, doi: 10.1049/iet-pel.2016.0794. 
    29.
  29. V.R. Chowdhury and J.W. Kimball, "Control of a three-phase grid-connected inverter under non-ideal grid conditions with online parameter update", IEEE Transactions on Energy Conversion, vol. 34, no. 3, pp. 1613-1622, Sept. 2019, doi: 10.1109/TEC.2019.2899471. 
    30.
  30. M. Bhunia and B. Subudhi, "A Self-Tuning Adaptive Control Scheme for a Grid-Connected Three-Phase PV System", IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 5, pp. 5709-5716, Mar. 2022, doi: 10.1109/JESTPE.2021.3069550. 
    31.
  31. F.J. Lin, K.H. Tan, Y.K. Lai and W.C. Luo, "Intelligent PV power system with unbalanced current compensation using CFNN-AMF", IEEE Trans. Power Electronics, vol. 34, no. 9, pp. 8588–8598, Sept. 2019, doi: 10.1109/TP-EL.201‌8.2889664.
    32.
  32. S. Heidari, A. Hatami and M. Eskandari, "An intelligent capacity management system for interface converter in AC-DC hybrid microgrids", Applied Energy, vol. 316, p. 119112, Jan. 2022, doi: 10.1016/j.apenergy.2022.119112.
    33.
  33. AQ. Al-Shetwi, WK. Issa, RF. Aqeil, TS. Ustun, HM. Al-Masri, K. Alzaareer, MG. Abdolrasol and MA. Abdullah, "Active power control to mitigate frequency deviations in large-scale grid-connected PV system using grid-forming single-stage inverters", Energies, vol. 15, no. 6, p. 2035, Mar. 2022, doi: 10.3390/en15062035.
    34.
  34. C. Zhong, Y. Zhou and G. Yan, "Power reserve control with real-time iterative estimation for PV system participation in frequency regulation", International Journal of Electrical Power & Energy Systems, vol. 124, p. 106367, Jan. 2021, doi: 10.1016/j.ijepes.2020.106367.
    35.
  35. M.K. Mishra, A. Mishra and V.N. Lal, "An advanced PLL-less control scheme for LVRT capability with harmonics current mitigations in grid-tied PV system under weak and distorted grid", IEEE Applied Power Electronics Conference and Exposition (APEC), pp. 1298–1304, Mar. 2022, doi: 10.1109/APEC43599.2022.9773716.
    36.
  36. S.S. Puhan and R. Sharma, "A modified FOGI-FLL feature-based control algorithm for single-stage grid-interfaced solar PV system", International Journal of Energy and Environmental Engineering, vol. 13, pp. 1–7, Mar. 2022, doi: 10.1007/s40095-022-00433-6.
    37.
  37. J.S.A. Rahavi, T. Kanagapriya and R. Seyezhai, "Design and analysis of interleaved boost converter for renewable energy source", International Conference on Computing, Electronics and Electrical Technologies (ICCEET), Kumaracoil, India, pp. 447–451, May. 2012, doi: 10.1109/ICCEET.2012.6203850.
    38.
  38. J. Yuan, F. Blaabjerg, Y. Yongheng, A. Sangwongwanich and Y. Shen, "An overview of photovoltaic microinverters: Topology, efficiency, and reliability", IEEE 13th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), pp. 1-6, Oct. 2019, doi: 10.1109/CPE.2019.8862334.
    39.
  39. L. Piegari and R. Rizzo, "Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking", IET Renew. Power Gener, vol. 4, no. 4, pp. 317–328, July 2010, doi: 10.1049/iet-rpg.2009.0035.
    40.
  40. R.K. Mudi and N.R. Pal, "A self-tuning fuzzy PI controller", Fuzzy Sets Systems, vol. 115, no. 2, pp. 327–338, Dec. 2000, doi: 10.1016/S0165-0114(98)00147-X.
    41.
  41. N. Pogaku, M. Prodanovic and T.C. Green, "Modeling, analysis and testing of autonomous operation of an inverter-based microgrid", IEEE Trans. Power Electronics, vol. 22, no. 2, pp. 613–625, Mar. 2007, doi: 10.1109/TPEL.-2006.890003.
    42.
  42. IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems, IEEE Power and Energy Society, Piscataway, NJ, USA, Standard 519-2014, 2014.
    43.
_||_

مقالات مرتبط

حقوق این وب‌سایت متعلق به سامانه مدیریت نشریات دانشگاه آزاد اسلامی است.
حق نشر © 1403-1400

صفحه اصلی| عضویت/ ورود| درباره سند| تماس با ما|
[English] [العربية] [en] [ar]