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Auteurs principaux: Almomani, Mohammad, Sarwar, Muhammad, Ajjarapu, Venkataramana
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2504.05557
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author Almomani, Mohammad
Sarwar, Muhammad
Ajjarapu, Venkataramana
author_facet Almomani, Mohammad
Sarwar, Muhammad
Ajjarapu, Venkataramana
contents Ensuring accurate violation detection in power systems is paramount for operational reliability. This paper introduces an 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 245k 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.
format Preprint
id arxiv_https___arxiv_org_abs_2504_05557
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Enhanced Entropy-Based Metric for Characterization of Delayed Voltage Recovery
Almomani, Mohammad
Sarwar, Muhammad
Ajjarapu, Venkataramana
Systems and Control
Ensuring accurate violation detection in power systems is paramount for operational reliability. This paper introduces an 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 245k 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.
title Enhanced Entropy-Based Metric for Characterization of Delayed Voltage Recovery
topic Systems and Control
url https://arxiv.org/abs/2504.05557