Using the Time Coordination of Definite-Time Overcurrent Protection for the Classification of Grid Topologies in Adaptive Protection Systems

This paper introduces an adaptive protection strategy designed to address the challenges posed by varying grid topologies. The strategy is composed of two main stages: an offline stage, where Setting Groups for different grid configurations are predetermined, and an online stage, where protection settings are dynamically adjusted according to the current grid topology. A key contribution of this work is the development of a novel classification method for grid topologies that explicitly incorporates time coordination requirements for the offline stage. This classification is achieved through an optimization model inspired by the bin-packing problem, which organizes grid topologies into distinct classes, allowing for optimized protection settings within each class to ensure time coordination. The effectiveness of the proposed method is demonstrated through simulations on a medium-voltage grid. The results show that the proposed strategy allows for the determination of protection settings for different grid topologies.

Authors

Institutions

Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863472
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using the Time Coordination of Definite-Time Overcurrent Protection for the Classification of Grid Topologies in Adaptive Protection Systems

Antigona Selimaj, Immanuel Hacker, Andreas Ulbig
Smart Grid Security and Resilience
article

Using the Time Coordination of Definite-Time Overcurrent Protection for the Classification of Grid Topologies in Adaptive Protection Systems

Antigona Selimaj, Immanuel Hacker, Andreas Ulbig
article en

Abstract

This paper introduces an adaptive protection strategy designed to address the challenges posed by varying grid topologies. The strategy is composed of two main stages: an offline stage, where Setting Groups for different grid configurations are predetermined, and an online stage, where protection settings are dynamically adjusted according to the current grid topology. A key contribution of this work is the development of a novel classification method for grid topologies that explicitly incorporates time coordination requirements for the offline stage. This classification is achieved through an optimization model inspired by the bin-packing problem, which organizes grid topologies into distinct classes, allowing for optimized protection settings within each class to ensure time coordination. The effectiveness of the proposed method is demonstrated through simulations on a medium-voltage grid. The results show that the proposed strategy allows for the determination of protection settings for different grid topologies.

RWTH Aachen University (DE)
Openalex Percentile: Top 67%
Smart Grid Security and Resilience
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.

Using the Time Coordination of Definite-Time Overcurrent Protection for the Classification of Grid Topologies in Adaptive Protection Systems — Antigona Selimaj, Immanuel Hacker, et al. · (2024) | TGRS Research Map | TGRS