Data‐driven online distributed disturbance location for large‐scale power grids

Author:

Yang Zekun1,Chen Yu1,Zhou Ning1,Polunchenko Aleksey2,Liu Yilu3

Affiliation:

1. Department of Electrical and Computer EngineeringBinghamton UniversityBinghamtonNY13902USA

2. Department of Mathematical SciencesBinghamton UniversityBinghamtonNY13902USA

3. Department of Electrical Engineering and Computer ScienceUniversity of TennesseeKnoxvilleTN37996USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference27 articles.

1. Models for architectural power and power grid noise analysis on data bus;Gao L.;J. VLSI Signal Process.Syst. Signal, Image Video Technol.,2006

2. Smart Fault Location for Smart Grids

3. GroupN.S.: ‘Technical analysis of the August 14 2003 blackout: what happened why and what did we learn’ report to the NERC Board of Trustees 2004

4. Power System Frequency Monitoring Network (FNET) Implementation

5. Wide-Area Frequency Monitoring Network (FNET) Architecture and Applications

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2. Non-parametric method for identification and prediction of events in the power system based on digital signal processing device;RUDENKO INTERNATIONAL CONFERENCE “METHODOLOGICAL PROBLEMS IN RELIABILITY STUDY OF LARGE ENERGY SYSTEMS” (RSES 2021);2023

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4. An Analytical Method for Disturbance Propagation Investigation Based on the Electromechanical Wave Approach;IEEE Transactions on Power Systems;2021-03

5. Algebraic Method of Nonparametric Identification of Abnormal Modes of the Power System as a Dynamic MIMO System;Journal of Computer and Systems Sciences International;2020-11

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