Výsledky vyhledávání - "Hamidi, Reza"

Report

A Source-Independent Fault Detection Method for Transmission Lines

Autor: Hamidi, Reza Jalilzadeh, Rodriguez, Julio

This article proposes a source-independent method for detecting faults along Transmission Lines (TL) to reduce the protection issues arising from Inverter-Based Resources (IBRs). In the proposed method, high-frequency waves are sent from either end o

Externí odkaz: http://arxiv.org/abs/2409.07439

Zobrazit plný text záznamu

Report

Source-Independent Fault Detection Method for Transmission Lines in IBR-Dominated Grids

Autor: Rodriguez, Julio, Otchere, Isaac Kofi, Hamidi, Reza Jalilzadeh

This paper proposes a source-independent method for the detection and classification of faults along Transmission Lines (TLs). It aims to reduce the protection issues arising from Inverter-Based Resources (IBRs). Inspired by Power Line Communication

Externí odkaz: http://arxiv.org/abs/2407.08611

Zobrazit plný text záznamu

Report

A Modular Measurement Integrity Verification for Transformer Currents with Applications in Hardware in-the-Loop Digital Twin

Autor: Hamidi, Reza Jalilzadeh

This paper proposes a recursive method for integrity verification of measured transformer currents, which is suitable for the modular development of Hardware-In-the-Loop Digital Twins (HIL DTs). The Differential Equations (DEs) describing transformer

Externí odkaz: http://arxiv.org/abs/2407.18944

Zobrazit plný text záznamu

Akademický článek

Improvement of Economic Integration of Renewable Energy Resources through Incentive-Based Demand Response Programs.

Autor: Jalilzadeh Hamidi, Reza¹ (AUTHOR) reza.j.hamidi@gmail.com, Asadinejad, Ailin² (AUTHOR)

Publikováno v: Energies (19961073). Jun2024, Vol. 17 Issue 11, p2545. 16p.

Zobrazit plný text záznamu

Plný text ve formátu HTML

Report

Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning

Autor: Niazazari, Iman, Hamidi, Reza Jalilzadeh, Livani, Hanif, Arghandeh, Reza

This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids. The proposed method is formulated based on the availability of time-synchronized high-freque

Externí odkaz: http://arxiv.org/abs/1903.04486

Zobrazit plný text záznamu