Digital twin for advanced optimal coordination scheme of distance and Dual-Stage overcurrent relays

Alasali, Feras; El-Naily, Naser; Mustafa, Haytham Y; Loukil, Hassen; Saad, Saad M; Saidi, Abdelaziz Salah; Holderbaum, William

Abstract

Integrating Distributed Generators (DGs), particularly renewable energy sources such as wind systems, into traditional power network presents significant protection coordination challenges. This study introduces a new optimal coordination scheme for distance and double-Stage Overcurrent (OCR) characteristics relays, utilizing digital twin technology. The proposed dual-stage of OCR protection to enhance the efficacy of the coordination between distance relays and OCRs. By employing advanced digital twin models and Hardware-in-the-Loop (HIL) testing, the proposed scheme aims to enhance fault management and relay coordination for microgrids. The scheme's effectiveness is evaluated using a reference power network (CIGRE radial and mesh network) with and without wind systems under various fault types and locations. The study demonstrates substantial improvements over traditional and modern dynamic distance relays coordination approaches, including a reduction in maximum tripping time from 0.85 s to 0.19 s with the dual-stage scheme. Comparative analysis of digital simulation and physical twin relays further validates the accuracy and robustness of the proposed scheme.

• Journal Article Type: Article
• Acceptance Date: Nov 11, 2024
• Publication Date: 2025-01
• Deposit Date: Jun 3, 2025
• Journal: Ain Shams Engineering Journal
• Print ISSN: 2090-4479
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Issue: 1
• Pages: 103197
• DOI: https://doi.org/10.1016/j.asej.2024.103197
• Additional Information: This article is maintained by: Elsevier; Article Title: Digital twin for advanced optimal coordination scheme of distance and Dual-Stage overcurrent relays; Journal Title: Ain Shams Engineering Journal; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.asej.2024.103197; Content Type: article; Copyright: © 2024 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University.