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Sepehrirad, I., Ebrahimi, R., Alibeiki, E., Ranjbar, S.. (1403). Thevenin Impedance Concept for Fast Detection of Microgrid Islanding Scenarios in the Presence of Small Synchronous Generators. سامانه مدیریت نشریات علمی, 12(2), 91-106. doi: 10.22098/joape.2023.12046.1891
I. Sepehrirad; R. Ebrahimi; E. Alibeiki; S. Ranjbar. "Thevenin Impedance Concept for Fast Detection of Microgrid Islanding Scenarios in the Presence of Small Synchronous Generators". سامانه مدیریت نشریات علمی, 12, 2, 1403, 91-106. doi: 10.22098/joape.2023.12046.1891
Sepehrirad, I., Ebrahimi, R., Alibeiki, E., Ranjbar, S.. (1403). 'Thevenin Impedance Concept for Fast Detection of Microgrid Islanding Scenarios in the Presence of Small Synchronous Generators', سامانه مدیریت نشریات علمی, 12(2), pp. 91-106. doi: 10.22098/joape.2023.12046.1891
Sepehrirad, I., Ebrahimi, R., Alibeiki, E., Ranjbar, S.. Thevenin Impedance Concept for Fast Detection of Microgrid Islanding Scenarios in the Presence of Small Synchronous Generators. سامانه مدیریت نشریات علمی, 1403; 12(2): 91-106. doi: 10.22098/joape.2023.12046.1891

Thevenin Impedance Concept for Fast Detection of Microgrid Islanding Scenarios in the Presence of Small Synchronous Generators

Journal of Operation and Automation in Power Engineering
مقاله 1، دوره 12، شماره 2، تیر 2024، صفحه 91-106    اصل مقاله (972.58 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.12046.1891
نویسندگان
I. Sepehrirad1؛ R. Ebrahimi* 1؛ E. Alibeiki2؛ S. Ranjbar3
1Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran
2Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran
3Department of electrical engineering, Velayat University, Iranshahr, Iran
چکیده
Modern power systems deal with different stability concerns due to operation near to their critical margins. Implementing the small energy resources and online islanding schemes perform as a modification scheme for increasing the system overall stability. This paper presents an adaptive approach for online detection of islanding microgirds in the presence of renewable energy resources consisting of diesel generators. For this issue, based on the concept of thevenin impedance, the microgrid impedance matrix is evaluated. In this case, considering the system angular frequency as an online index within different operating conditions, the islanding operating cases are identified. The proposed scheme uses an online non-model-based index which provides high impedance values in the case of grid-connected operating mode. Through continuous time window, the system impedance derivatives-based matrix is provided which islanding operating scenarios are estimated. In this case, considering a set of analytical evaluations, the required adaptive parameters and corresponding online adjustments are provided. The proposed approach is carried out through a modified microgrid test system consisting of synchronous generators which considering different cases studies, the proposed scheme ability is evaluated. It is revealed that through different case studies about 100 ms time duration is required to estimate an islanding operating condition which the proposed MICI index goes lower than criteria. Simulation results dedicate the effectiveness of the proposed approach for online and fast identification of islanding scenarios with respect to other corresponding techniques. 
کلیدواژه‌ها
Islanding identification؛ Microgrid؛ Synchronous generators؛ Thevenin impedance matrix
مراجع
  1. Rezaee, M. S. Moghadam, and S. Ranjbar, “Online estimation of power system separation as controlled islanding scheme in the presence of interarea oscillations,” Sustainable Energy, Grids and Networks, vol. 21, p. 100306, 2020.
  2. H. Fathi-Jowzdani, I. Sadeghkhani, and A. MehriziSani, “Islanding detection for dc microgrids based on episode of care severity index,” IEEE Transactions on Smart Grid, vol. 13, no. 2, pp. 954–961, 2021.
  3. Ranjbar, “Statcom-based intelligent wide-area controller for damping interarea oscillation,” IEEE Systems Journal, 2023.
  4. Blanco, F. Paz, I. G. Zurbriggen, P. Garcia, and M. Ordonez, “Distributed islanding detection in multisource dc microgrids: Pilot signal cancelation,” IEEE Access, vol. 10, pp. 78370–78383, 2022.
  5. Ranjbar, “Adaptive criteria of estimating power system separation times based on inter-area signal,” IET Generation, Transmission & Distribution, vol. 17, no. 3, pp. 573–588, 2023.
  6. Sankar, R. Sunitha, et al., “Synchrophasor data driven islanding detection, localization and prediction for microgrid using energy operator,” IEEE Transactions on Power Systems, vol. 36, no. 5, pp. 4052–4065, 2021.
  7. Ranjbar, M. Aghamohammadi, and F. Haghjoo, “A new scheme of wadc for damping inter-area oscillation based on cart technique and thevenine impedance,” International Journal of Electrical Power & Energy Systems, vol. 94, pp. 339–353, 2018.
  8. W. Altaf, M. T. Arif, S. Saha, S. N. Islam, M. E. Haque, and A. M. Oo, “Effective rocof-based islanding detection technique for different types of microgrid,” IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 1809–1821, 2022.
  9. M. Niaki and S. Afsharnia, “A new passive islanding detection method and its performance evaluation for multi-dg systems,” Electric Power Systems Research, vol. 110, pp. 180–187, 2014.
  10. Dehghanzade Golmaee, A. Koochaki, and Ranjbar, “Variable frequency transformer equippedwith dynamic breaking resistors for controlling low frequency oscillation using hierarchical strategy,” Electrical Engineering, vol. 105, no. 1, pp. 113– 128, 2023.
  11. Bakhshi-Jafarabadi, J. Sadeh, and M. Popov, “Maximum power point tracking injection method for islanding detection of grid-connected photovoltaic systems in microgrid,” IEEE Transactions on Power Delivery, vol. 36, no. 1, pp. 168–179, 2020.
  12. Ranjbar, “Online estimation of controlled islanding time intervals using dynamic state trajectories through cascading failures from wams data,” Electric Power Systems Research, vol. 214, p. 108890, 2023.
  13. F. Zarei, H. Mokhtari, and F. Blaabjerg, “Fault detection and protection strategy for islanded inverterbased microgrids,” IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 9, no. 1, pp. 472–484, 2019.
  14. Roudi, R. Ebrahimi, M. Ghanbari, and S. Ranjbar, “Virtual generator-based damping controller for microgrids with low inertia resources based on energy storage systems,” International Transactions on Electrical Energy Systems, vol. 31, no. 5, p. ete12832, 2021.
  15. Sepehrirad, R. Ebrahimi, E. Alibeiki, and S. Ranjbar, “Intelligent differential protection scheme for controlled islanding of microgrids based on decision tree technique,” Journal of Control, Automation and Electrical Systems, vol. 31, pp. 1233–1250, 2020.
  16. Ranjbar, A. S. Al-Sumaiti, R. Sangrody, Y.-J. Byon, and M. Marzband, “Dynamic clustering-based model reduction scheme for damping control of large power systems using series compensators from wide area signals,” International Journal of Electrical Power & Energy Systems, vol. 131, p. 107082, 2021.
  17. Ranjbar, “Online estimation of controlled islanding time intervals using dynamic state trajectories through cascading failures from wams data,” Electric Power Systems Research, vol. 214, p. 108890, 2023.
  18. Mahdavizadeh, M. Aghamohammadi, and S. Ranjbar, “Frequency stability-based controlled islanding scheme based on clustering algorithm and electrical distance using real-time dynamic criteria from wams data,” Sustainable Energy, Grids and Networks, vol. 30, p. 100560, 2022.
  19. Jalilian, A. Rastgou, S. Kharrati, and S. HosseiniHemati, “Frequency stability of hybrid power system in the presence of superconducting magnetic energy storage and uncertainties,” Journal of Operation and Automation in Power Engineering, vol. 11, no. 4, pp. 230–239, 2023.
  20. Matharani and H. Jariwala, “Stability analysis of microgrid with passive, active, and dynamic load,” Journal of Operation and Automation in Power Engineering, vol. 11, no. 4, pp. 295–306, 2023.
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