The new edged and multi-source integrated electric power systems (EPSs) with increasing
complexity necessitate advanced protection mechanisms to meet the demand for reliability …

Anomaly detection in power systems is crucial for operational reliability and safety, often
addressed through binary classification in existing research. However, a research gap exists …

As a pivotal integral component within electronic systems, analog circuits are of paramount
importance for the timely detection and precise diagnosis of their faults. However, the …

Effective islanding detection is mandatory for distributed generations (DGs) to avoid
equipment damage and ensure the safety of network personnel. This paper proposes a fast …

This paper presents a novel Ensemble Kalman Filter (EnKF)-based passive anti-islanding
method designed to enhance the reliability and stability of AC microgrids amid increasing …

Machine learning models have been widely extended in island detection for microgrid with
renewable energy sources (RESs) and have become the most promising extension in data …

This paper designs a multi-variable hybrid islanding-detection method (HIDM) using signal-
processing techniques. The signals of current captured on a test system where the …

The significant prevalence of distributed energy resources in microgrids due to their unique
characteristics and activities creates protection issues. This paper introduces fault detection …

This chapter designed a voltage-actuated islanding detection scheme (VAIDS) to detect and
discriminate islanding events from the operational events with the generation available from …

Abstract The adoption of Distributed Generation (DG) technology has seen a substantial
level of advancement in recent years. This has created potential protection issues in …