Works (5)
Updated: July 5th, 2023 15:40
2015 journal article
A Real-Time Attack Localization Algorithm for Large Power System Networks Using Graph-Theoretic Techniques
IEEE TRANSACTIONS ON SMART GRID, 6(5), 2551–2559.
author keywords: Algebraic graph theory; attack localization; identification; nodal domains; power system
TL;DR:
A graph-theoretic algorithm for localizing the physical manifestation of attacks or disturbances in large power system networks using real-time synchrophasor measurements and validated using a detailed case study of the two-area Kundur model and the IEEE 39-bus power system.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2015 journal article
Graph-Theoretic Methods for Measurement-Based Input Localization in Large Networked Dynamic Systems
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 60(8), 2114–2128.
author keywords: Algebraic graph theory; consensus networks; fault localization; identification; nodal domains
TL;DR:
It is proved that for systems defined over a specific class of graphs, referred to as p-area complete graphs, the localization is unique, and the extension of this result for second-order synchronization networks is state.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 6, 2018
2015 conference paper
On aggregate control of clustered consensus networks
2015 american control conference (acc), 5527–5532.
TL;DR:
This paper decomposes the actual network model into an approximate model, and defines the controller at every node as the sum of two independent state-feedback controls, one for the fast dynamics and another for the slow, indicating that only a single aggregate slow controller needs to be designed per area.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2014 conference paper
A graph-theoretic algorithm for localization of forced harmonic oscillation inputs in power system networks
2014 american control conference (acc), 1334–1340.
TL;DR:
A graph-theoretic algorithm based on the magnitude as well as the sign of these residues that detects the location of the forced oscillation input in swing dynamic models of large power system networks in the form of forced oscillations with unknown amplitude and frequency is developed.
(via Semantic Scholar)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018
2013 conference paper
A graph-theoretic algorithm for disturbance localization in large power grids using residue estimation
2013 american control conference (acc), 3467–3472.
Source: NC State University Libraries
Added: August 6, 2018
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