Volume 18, Issue 4 (December 2022)                   IJEEE 2022, 18(4): 29-40 | Back to browse issues page

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Tiwari S P, Koley E. A local measurement-based protection scheme for DER integrated DC microgrid using Bagging Tree. IJEEE 2022; 18 (4) :29-40
URL: http://ijeee.iust.ac.ir/article-1-2463-en.html
Abstract:   (874 Views)
In recent years, DC microgrid has attracted considerable attention of the research community because of the wide usage of DC power-based appliances. However, the acceptance of DC microgrid by power utilities is still limited due to the issues associated with the development of a reliable protection scheme. The high magnitude of DC fault current, its rapid rate of rising and absence of zero crossing hinders achieving reliable protection in DC microgrid. Further, the intermittency associated with the non-conventional distributed generators demands adaptiveness under varying weather conditions. In this paper, the above-mentioned issues are addressed by developing a bagging tree-based protection approach for a multi-terminal DC microgrid. The proposed scheme addresses the intermittency associated with renewable sources. It performs the functions of mode detection, fault detection/classification, and faulty section identification using local information of current and voltage signals only. The same avoids the communication network related drawbacks like data loss and latency.
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  1. Development of fast and accurate bagging tree-based protection scheme for DC microgrid.
  2. Performing the task of fault detection, classification, and section identification for DC microgrid under varying operating scenarios and fault conditions.
  3. Validation of the proposed scheme for immunity against varying nature of the fault and microgrid operation including intermittency in non-conventional distributed generators.

Type of Study: Closed - Microgrid Special Issue 2022 | Subject: Line Protections
Received: 2022/03/20 | Revised: 2024/05/13 | Accepted: 2022/12/10

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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.