Multi-Stage Reconfiguration Method for Resilience Enhancement of Distribution Systems Considering Line and RCS Faults

Under the dual challenges of global climate change and energy transition, the stable operation of distribution systems is crucial. However, traditional distribution systems have limitations in addressing extreme climate events and remote control switch (RCS) faults. In this context, a dynamic multi-stage recovery framework is proposed in this paper, with the objective of systematically enhancing the operational resilience of electrical distribution systems. The framework considers RCS faults and their transition to manual operation procedures, improving disturbance resistance, adaptability, and self-healing capabilities through preventive reconfiguration and adaptive recovery strategies. Preventive reconfiguration optimizes network topology to create disaster-resistant power supply paths, while adaptive recovery employs a four-stage operation sequence to optimize recovery objectives and resource allocation dynamically. Case studies demonstrate that the proposed method effectively reduces the risk of critical load exposure to compound faults and ensures efficient resource utilization.

Authors

Institutions

Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/ieeeconf65522.2025.11137107
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Stage Reconfiguration Method for Resilience Enhancement of Distribution Systems Considering Line and RCS Faults

Xiangyu Kong, Jiancun Liu, Jiangbei Li, Mai Zhang et al.
Power Systems Fault Detection
article

Multi-Stage Reconfiguration Method for Resilience Enhancement of Distribution Systems Considering Line and RCS Faults

Xiangyu Kong, Jiancun Liu, Jiangbei Li, Mai Zhang, Xiaopei Zhang, Hao Zheng
article en

Abstract

Under the dual challenges of global climate change and energy transition, the stable operation of distribution systems is crucial. However, traditional distribution systems have limitations in addressing extreme climate events and remote control switch (RCS) faults. In this context, a dynamic multi-stage recovery framework is proposed in this paper, with the objective of systematically enhancing the operational resilience of electrical distribution systems. The framework considers RCS faults and their transition to manual operation procedures, improving disturbance resistance, adaptability, and self-healing capabilities through preventive reconfiguration and adaptive recovery strategies. Preventive reconfiguration optimizes network topology to create disaster-resistant power supply paths, while adaptive recovery employs a four-stage operation sequence to optimize recovery objectives and resource allocation dynamically. Case studies demonstrate that the proposed method effectively reduces the risk of critical load exposure to compound faults and ensures efficient resource utilization.

Tianjin University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Power Systems Fault Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.