Optimizing Distance Zone Settings in Adaptive Protection Systems

This paper addresses the challenges in setting distance protection relays within the context of adaptive protection systems. Conventional methods for setting distance zones fail to adapt to complex configurations with varying feeder lengths. These methods result in overly conservative zone settings, in-adequate backup protection reach, and potentially coordination issues. To address these limitations, we propose a linear optimization model tailored for adaptive protection systems. This model systematically determines distance protection relay zone settings, incorporating a fourth zone when required to ensure full backup protection. Using a reference high-voltage grid with 18 relays, the study compares the results determined by solving the linear optimization problem against a conventional method. The results show that the optimization model enhances backup protection zone reach, while ensuring selecticity and coordination. Furthermore, the model’s design allows for the integration of additional constraints from operational conditions, such as heavy-load, or other protection systems, such as transformer protection, underscoring its suitability for adaptive protection schemes.

Authors

Institutions

Publication Details

Published
2025-06-29
DOI
https://doi.org/10.1109/powertech59965.2025.11180237
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Distance Zone Settings in Adaptive Protection Systems

Antigona Selimaj, Immanuel Hacker, Andreas Ulbig, Ahmet Ozan Köktas
Network Security and Intrusion Detection
article

Optimizing Distance Zone Settings in Adaptive Protection Systems

Antigona Selimaj, Immanuel Hacker, Andreas Ulbig, Ahmet Ozan Köktas
article en

Abstract

This paper addresses the challenges in setting distance protection relays within the context of adaptive protection systems. Conventional methods for setting distance zones fail to adapt to complex configurations with varying feeder lengths. These methods result in overly conservative zone settings, in-adequate backup protection reach, and potentially coordination issues. To address these limitations, we propose a linear optimization model tailored for adaptive protection systems. This model systematically determines distance protection relay zone settings, incorporating a fourth zone when required to ensure full backup protection. Using a reference high-voltage grid with 18 relays, the study compares the results determined by solving the linear optimization problem against a conventional method. The results show that the optimization model enhances backup protection zone reach, while ensuring selecticity and coordination. Furthermore, the model’s design allows for the integration of additional constraints from operational conditions, such as heavy-load, or other protection systems, such as transformer protection, underscoring its suitability for adaptive protection schemes.

RWTH Aachen University (DE)
Openalex Percentile: Top 67%
Network Security and Intrusion 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.

Optimizing Distance Zone Settings in Adaptive Protection Systems — Antigona Selimaj, Immanuel Hacker, et al. · (2025) | TGRS Research Map | TGRS