Topology-Aware Fault Diagnosis in Distributed Energy Substations Using Graph-Based Protection Modeling

Authors

  • Li Kaiyun Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China
  • Wang Xiqiong Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China
  • Chen Wei Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China
  • Zeng Kaizhi Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China

DOI:

https://doi.org/10.13052/dgaej2156-3306.4038

Keywords:

Topology-aware protection, graph-based modeling, fault diagnosis, distributed energy resources (DER), distribution substations, dynamic similarity matrix, breadth-first search, SVG visualization

Abstract

With the growing penetration of distributed energy resources (DERs), modern substations face new challenges in fault detection and protection coordination under bidirectional power flow conditions. Traditional relay protection schemes often lack adaptability to rapidly changing topologies and may suffer from misoperations due to the dynamic behavior of inverter-based sources. This paper proposes a topology-aware intelligent fault diagnosis framework for distribution substations integrating DERs. The approach leverages a unified graph-based protection model, combining traditional devices and renewable entry points into a dynamic substation topology graph. By incorporating real-time topology recognition, dynamic similarity matrix analysis, and breadth-first search (BFS)-based fault path tracing, the proposed system enhances fault propagation analysis and misoperation tracking. Furthermore, the system integrates SVG-based visualization tools to provide operators with intuitive fault evolution maps and actionable insights. Experimental validation on a high-DER simulation platform demonstrates improved diagnostic accuracy, reduced protection misoperation, and enhanced fault localization capabilities. The system achieved a 62% reduction in detection time and an 83% decrease in misoperation rate across 150 simulated DER-rich fault cases. This work supports the development of next-generation smart substation diagnostic systems, reinforcing the safe and intelligent operation of distribution-level smart grids and microgrids.

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Author Biographies

Li Kaiyun, Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China

Li Kaiyun, a native of Fengqing, Yunnan Province, studied at the School of Electrical Engineering of Kunming University of Science and Technology from 2013 to 2017 and obtained a bachelor’s degree. I have been working at Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd. since August 2017, and have been working in the substation repair and testing Institute for 8 years. As a team member, team leader and deputy manager, I have successively participated in and completed multiple large-scale projects such as the 500kV Boshang integrated automation transformation, series compensation transformation, and the construction of the 220kV Fengshan intelligent Station, and have also taken on the review work of many projects.

Wang Xiqiong, Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China

Wang Xiqiong, a native of Xiangyun, Yunnan Province, studied at the School of Electrical and Information Engineering of Southwest Minzu University from 2012 to 2016 and obtained a bachelor’s degree. I have been working at Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd. since July 2016, and have been working in the substation repair and testing Institute for 9 years. Senior secondary on-site operation and maintenance worker, has successively participated in and completed multiple large-scale projects such as the infrastructure project of 220kV Dengke Substation, regular inspection of 500kV Boshang Substation, and construction of Baoxin sub-station of 35kV substation, and has also undertaken the review work of many projects.

Chen Wei, Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China

Chen Wei, a native of Meishan, Sichuan Province, studied at Chongqing Electric Power College from 2006 to 2009. In July 2009, he joined Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd. and has been working there ever since. He has been working in the substation repair and testing Institute for 16 years. As a team member and team leader, I have successively participated in and completed multiple large-scale projects such as the 500kV Boshang integrated automation transformation, the series compensation transformation, and the construction of the 220kV Dengke substation, and have also taken on the review work of many projects.

Zeng Kaizhi, Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd, Yunnan, China

Zeng Kaizhi, a native of Fengqing, Yunnan Province, studied at the School of Electrical Engineering of Kunming University of Science and Technology from 2015 to 2019 and obtained a bachelor’s degree. I have been working at Lincang Power Supply Bureau of Yunnan Power Grid Co., Ltd. since June 2019. I have been working in the Substation Repair and Testing Institute for six years. As a team member and deputy team leader, I have successively participated in and completed multiple large-scale projects, including the construction of 220kV Xiben Substation, the integrated automation transformation of 500kV Boshang Substation, the intelligent station construction of 220kV Fengshan Substation, the series compensation transformation of 500kV, and the installation of 500kV new energy control sub-stations. I have also taken on the review work of many projects.

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Published

2025-07-31

How to Cite

Kaiyun, L. ., Xiqiong, W. ., Wei, C. ., & Kaizhi, Z. . (2025). Topology-Aware Fault Diagnosis in Distributed Energy Substations Using Graph-Based Protection Modeling. Distributed Generation &Amp; Alternative Energy Journal, 40(03), 615–636. https://doi.org/10.13052/dgaej2156-3306.4038

Issue

Section

Renewable Power & Energy Systems