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

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 70

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شناسه ملی سند علمی:

JR_JOAPE-12-2_001

تاریخ نمایه سازی: 13 آبان 1402

چکیده مقاله:

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 ۱۰۰ 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.

نویسندگان

I. Sepehrirad

Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran

R. Ebrahimi

Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran

E. Alibeiki

Department of Electrical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran

S. Ranjbar

Department of electrical engineering, Velayat University, Iranshahr, Iran

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  • H. Fathi-Jowzdani, I. Sadeghkhani, and A. MehriziSani, “Islanding detection for ...
  • Ranjbar, “Statcom-based intelligent wide-area controller for damping interarea oscillation,” IEEE ...
  • Blanco, F. Paz, I. G. Zurbriggen, P. Garcia, and M. ...
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  • Sankar, R. Sunitha, et al., “Synchrophasor data driven islanding detection, ...
  • Ranjbar, M. Aghamohammadi, and F. Haghjoo, “A new scheme of ...
  • W. Altaf, M. T. Arif, S. Saha, S. N. Islam, ...
  • M. Niaki and S. Afsharnia, “A new passive islanding detection ...
  • Dehghanzade Golmaee, A. Koochaki, and Ranjbar, “Variable frequency transformer equippedwith ...
  • Bakhshi-Jafarabadi, J. Sadeh, and M. Popov, “Maximum power point tracking ...
  • Ranjbar, “Online estimation of controlled islanding time intervals using dynamic ...
  • F. Zarei, H. Mokhtari, and F. Blaabjerg, “Fault detection and ...
  • Roudi, R. Ebrahimi, M. Ghanbari, and S. Ranjbar, “Virtual generator-based ...
  • Sepehrirad, R. Ebrahimi, E. Alibeiki, and S. Ranjbar, “Intelligent differential ...
  • Ranjbar, A. S. Al-Sumaiti, R. Sangrody, Y.-J. Byon, and M. ...
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  • Mahdavizadeh, M. Aghamohammadi, and S. Ranjbar, “Frequency stability-based controlled islanding ...
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  • Matharani and H. Jariwala, “Stability analysis of microgrid with passive, ...
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