Enhanced Entropy-Based Metric for Characterization of Delayed Voltage Recovery
preprint
OA: closed
Abstract
Ensuring accurate violation detection in power sys- amount for operational reliability. This paper intro- tems is par duces the Enhanced Voltage recovery Violation Index (EVRVI), a comprehensive index designed to quantify Fault-Induced Delayed Voltage Recovery (FIDVR). EVRVI enhances traditional entropy- based methods by leveraging Empirical Mode Decomposition (EMD) to extract key features from the voltage signal, which are then used to quantify over-voltage (OV) and under-voltage (UV) events. Our simulations on the Nordic system, involving over 245,000 scenarios, demonstrate EVRVI’s superior ability to identify and categorize voltage recovery issues compared to the traditional entropy based measure. EVRVI not only significantly reduces false negatives in violation detection but also provides a reliable framework for over-voltage detection, making it an invaluable tool for modern power system studies.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
Source provenance
- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00