Volume 17, Issue 3 (September 2021)                   IJEEE 2021, 17(3): 1945-1945 | Back to browse issues page


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Mohiti M, Sabzevari S, Siano P. Two-Stage Islanding Detection Method via High Frequency Impedance and Harmonic Distortion Evaluation in Multi-DG Networks. IJEEE 2021; 17 (3) :1945-1945
URL: http://ijeee.iust.ac.ir/article-1-1945-en.html
Abstract:   (2119 Views)
Islanding detection is essential for reliable and safe operation of systems with distributed generations (DG). In systems with multiple DGs, the interaction between DGs can make the islanding detection process more challenging. To address this concern, this paper proposes a two-stage islanding detection method for power systems equipped with multiple-DGs through estimation of high frequency impedance (Zf) and determination of the total harmonic distortion (THD). The impedances of the DGs are estimated at distinct frequencies to avoid interval overlaps. The concept of different frequency bands makes the proposed method applicable to multiple DG systems. To evaluate the effectiveness of the proposed method, a test system with multiple DGs is simulated through several case studies in PSCAD/EMTDC. The simulation results demonstrate the accuracy of the proposed islanding detection method in both single and multi-DG systems. It is also shown that the proposed method remains robust under different operating conditions and events.
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  • Proposing proposes a two-stage islanding detection method for power systems equipped with multiple-DGs through estimation of high frequency impedance and determination of the total harmonic distortion;
  • Estimating impedances of the DGs at distinct frequencies to avoid interval overlaps;
  • Applying decentralized injections with separate frequency bands;
  • Distinguishing islanding from other power system ordinary transient events.

Type of Study: Research Paper | Subject: Intentional Islanding
Received: 2020/07/30 | Revised: 2021/01/15 | Accepted: 2021/01/18

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.