Works (10)
Updated: July 5th, 2023 15:40
2015 journal article
A Graph-Theoretic Condition for Global Identifiability of Weighted Consensus Networks
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 61(2), 497–502.
author keywords: Global identifiability; graph Laplacian matrix; Markov parameters
TL;DR:
A sensor placement algorithm is proposed that guarantees identifiability of the edge-weights of a class of linear network dynamic systems exhibiting continuous-time weighted consensus protocols.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
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, NC State University Libraries
Added: August 6, 2018
2015 conference paper
A global identifiability condition for consensus networks on tree graphs
2015 american control conference (acc), 1830–1835.
TL;DR:
A sensor placement algorithm is proposed that guarantees identifiability of the edge weights of linear network dynamic systems exhibiting continuous-time weighted consensus protocols with acyclic structure.
(via Semantic Scholar)
open access via arxiv.org (repository)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2015 conference paper
An intrusion-resilient distributed optimization algorithm for modal estimation in power systems
2015 54th IEEE conference on decision and control (CDC), 39–44.
TL;DR:
An intrusion-resilient distributed algorithmic approach to estimate the electro-mechanical oscillation modes of a large power system using Synchrophasor measurements and shows the resiliency of this algorithm against the cyber-attacks that may happen in the form of data manipulation.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2015 conference paper
Convergence analysis of ADMM-based power system mode estimation under asynchronous wide-area communication delays
2015 ieee power & energy society general meeting.
TL;DR:
A probability model is imposed for the communication delays between the central PDC and the local PDCs, and two strategies of averaging are implemented based on a chosen delay threshold to show possible instabilities and sensitivities of the ADMM convergence on delay distribution parameters under these two averaging strategies.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2015 journal article
Distributed Optimization Algorithms for Wide-Area Oscillation Monitoring in Power Systems Using Interregional PMU-PDC Architectures
IEEE TRANSACTIONS ON SMART GRID, 6(5), 2529–2538.
author keywords: Alternating direction method of multipliers (ADMM); distributed optimization; phasor measurement units (PMUs); Prony; wide area oscillation monitoring
TL;DR:
A set of distributed algorithms for estimating the electro-mechanical oscillation modes of large power system networks using synchrophasors is presented and three different communication and computational architectures by which estimators located at the control centers of various utility companies can run local optimization algorithms using local PMU data, and thereafter communicate with other estimators to reach a global solution.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018
2014 conference paper
A real-time distributed prony-based algorithm for modal estimation of power system oscillations
2014 american control conference (acc), 729–734.
TL;DR:
This paper presents a set of distributed algorithms to estimate the oscillatory electro-mechanical eigenvalues of large power system networks using real-time measurements of phase angles and frequencies, and integrates the centralized Prony method for modal extraction with two commonly-used distributed optimization algorithms.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2014 conference paper
Distributed estimation of inter-area oscillation modes in large power systems using alternating direction multiplier method
2014 ieee pes general meeting - conference & exposition.
TL;DR:
This paper integrates the centralized Prony method with a commonly used distributed optimization algorithm, namely, alternating direction method of multipliers (ADMM), and shows how the resulting approach can utilize PMU data to identify the modes of interest asymptotically.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2013 conference paper
Topology identification for dynamic equivalent models of large power system networks
2013 american control conference (acc), 1138–1143.
TL;DR:
Two algorithms to identify the equivalent topology of reduced-order models of power systems using measurements of phase angles and frequencies available from Phasor Measurement Units (PMUs) are proposed.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2012 conference paper
A novel cost function for parameters estimation in oscillatory biochemical systems
2012 Proceedings of IEEE Southeastcon.
TL;DR:
A cost function is proposed to address issues with estimating kinetic parameters in oscillatory systems by integrating temporal information with periodic information embedded in the measurements, which results in an increased ability to estimate accurate kinetic parameters as compared to the traditional LS cost function.
(via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
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