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Emerging: Smart Grid & Energy Management

A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand

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Authors:
Fatih Erden, Nuh Erdogan
Submitted On:
9 December 2016 - 12:06pm
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Kisacikoglu_presentation.pdf

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[1] Fatih Erden, Nuh Erdogan, "A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1432. Accessed: May. 30, 2020.
@article{1432-16,
url = {http://sigport.org/1432},
author = {Fatih Erden; Nuh Erdogan },
publisher = {IEEE SigPort},
title = {A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand},
year = {2016} }
TY - EJOUR
T1 - A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand
AU - Fatih Erden; Nuh Erdogan
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1432
ER -
Fatih Erden, Nuh Erdogan. (2016). A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand. IEEE SigPort. http://sigport.org/1432
Fatih Erden, Nuh Erdogan, 2016. A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand. Available at: http://sigport.org/1432.
Fatih Erden, Nuh Erdogan. (2016). "A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand." Web.
1. Fatih Erden, Nuh Erdogan. A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1432

Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs


This paper presents a new methodology to detect low-frequency
oscillations in power grids by use of time-synchronized data
from phasor measurement unit (PMU). Principal component analysis
(PCA) is first applied to the massive PMU data to extract the
low-dimensional features, i.e., the principal components (PCs). Then
based on persistent homology, a \emph{cyclicity response function}
is proposed to detect low-frequency oscillations through the use of
PCs. Whenever the cyclicity response exceeds a numerically robust

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Authors:
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar
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7 December 2016 - 5:28pm
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Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs

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[1] Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar, "Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1416. Accessed: May. 30, 2020.
@article{1416-16,
url = {http://sigport.org/1416},
author = {Yang Chen; Harish Chintakunta; Le Xie; Yuliy Baryshnikov; P.R. Kumar },
publisher = {IEEE SigPort},
title = {Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs},
year = {2016} }
TY - EJOUR
T1 - Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs
AU - Yang Chen; Harish Chintakunta; Le Xie; Yuliy Baryshnikov; P.R. Kumar
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1416
ER -
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar. (2016). Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs. IEEE SigPort. http://sigport.org/1416
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar, 2016. Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs. Available at: http://sigport.org/1416.
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar. (2016). "Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs." Web.
1. Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar. Persistent-Homology-based Detection of Power System Low-frequency Oscillations using PMUs [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1416

Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull


Optimal power flow (OPF) is one of the key electric power system optimization problems. "Moment" relaxations from the Lasserre hierarchy for polynomial optimization globally solve many OPF problems. Previous work illustrates the ability of higher-order moment relaxations to approach the convex hulls of OPF problems' non-convex feasible spaces.

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Authors:
Daniel K. Molzahn, Cedric Josz, Ian A. Hiskens
Submitted On:
6 December 2016 - 10:41pm
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Molzahn - GlobalSIP 2016.pdf

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[1] Daniel K. Molzahn, Cedric Josz, Ian A. Hiskens, "Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1391. Accessed: May. 30, 2020.
@article{1391-16,
url = {http://sigport.org/1391},
author = {Daniel K. Molzahn; Cedric Josz; Ian A. Hiskens },
publisher = {IEEE SigPort},
title = {Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull},
year = {2016} }
TY - EJOUR
T1 - Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull
AU - Daniel K. Molzahn; Cedric Josz; Ian A. Hiskens
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1391
ER -
Daniel K. Molzahn, Cedric Josz, Ian A. Hiskens. (2016). Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull. IEEE SigPort. http://sigport.org/1391
Daniel K. Molzahn, Cedric Josz, Ian A. Hiskens, 2016. Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull. Available at: http://sigport.org/1391.
Daniel K. Molzahn, Cedric Josz, Ian A. Hiskens. (2016). "Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull." Web.
1. Daniel K. Molzahn, Cedric Josz, Ian A. Hiskens. Moment Relaxations of Optimal Power Flow Problems: Beyond the Convex Hull [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1391

MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID


Wide-area-measurement systems (WAMSs) are used in smart grid systems to enable the efficient monitoring of grid dynamics. However, the overwhelming amount of data and the severe contamination from noise often impede the effective and efficient data analysis and storage of WAMS generated measurements. To solve this problem, we propose a novel framework that takes advantage of Multivariate Empirical Mode Decomposition (MEMD), a fully data-driven approach to analyzing non-stationary signals, dubbed MEMD based Signal Analysis (MSA).

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Authors:
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu
Submitted On:
5 December 2016 - 5:21pm
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globalsip16_liuliu.pdf

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[1] Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu, "MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1352. Accessed: May. 30, 2020.
@article{1352-16,
url = {http://sigport.org/1352},
author = {Liu Liu;Austin Albright;Alireza Rahimpour;Jiahui Guo;Hairong Qi;Yilu Liu },
publisher = {IEEE SigPort},
title = {MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID},
year = {2016} }
TY - EJOUR
T1 - MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID
AU - Liu Liu;Austin Albright;Alireza Rahimpour;Jiahui Guo;Hairong Qi;Yilu Liu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1352
ER -
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu. (2016). MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID. IEEE SigPort. http://sigport.org/1352
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu, 2016. MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID. Available at: http://sigport.org/1352.
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu. (2016). "MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID." Web.
1. Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu. MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1352

Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach

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Submitted On:
5 December 2016 - 8:31am
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GlobalSIP-16-2.pdf

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[1] , "Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1346. Accessed: May. 30, 2020.
@article{1346-16,
url = {http://sigport.org/1346},
author = { },
publisher = {IEEE SigPort},
title = {Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach},
year = {2016} }
TY - EJOUR
T1 - Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1346
ER -
. (2016). Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach. IEEE SigPort. http://sigport.org/1346
, 2016. Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach. Available at: http://sigport.org/1346.
. (2016). "Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach." Web.
1. . Distributed Cooperative Charging for Plug-in Electric Vehicles: A Consensus+Innovations Approach [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1346

Demand response aggregators in microgrid energy trading

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Authors:
Maria Gregori, Javier Matamoros, David Gregoratti
Submitted On:
30 November 2016 - 10:43am
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poster_Globalsip_Final.pdf

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[1] Maria Gregori, Javier Matamoros, David Gregoratti, "Demand response aggregators in microgrid energy trading", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1324. Accessed: May. 30, 2020.
@article{1324-16,
url = {http://sigport.org/1324},
author = {Maria Gregori; Javier Matamoros; David Gregoratti },
publisher = {IEEE SigPort},
title = {Demand response aggregators in microgrid energy trading},
year = {2016} }
TY - EJOUR
T1 - Demand response aggregators in microgrid energy trading
AU - Maria Gregori; Javier Matamoros; David Gregoratti
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1324
ER -
Maria Gregori, Javier Matamoros, David Gregoratti. (2016). Demand response aggregators in microgrid energy trading. IEEE SigPort. http://sigport.org/1324
Maria Gregori, Javier Matamoros, David Gregoratti, 2016. Demand response aggregators in microgrid energy trading. Available at: http://sigport.org/1324.
Maria Gregori, Javier Matamoros, David Gregoratti. (2016). "Demand response aggregators in microgrid energy trading." Web.
1. Maria Gregori, Javier Matamoros, David Gregoratti. Demand response aggregators in microgrid energy trading [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1324

Decentralized Coordination of Energy Resources in Electricity Distribution Networks

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Authors:
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud
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24 March 2016 - 7:39pm
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[1] Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud, "Decentralized Coordination of Energy Resources in Electricity Distribution Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1014. Accessed: May. 30, 2020.
@article{1014-16,
url = {http://sigport.org/1014},
author = {Nikolaos Gatsis; Likhitha Yalamanchili; Mohammadhafez Bazrafshan; Paresh Risbud },
publisher = {IEEE SigPort},
title = {Decentralized Coordination of Energy Resources in Electricity Distribution Networks},
year = {2016} }
TY - EJOUR
T1 - Decentralized Coordination of Energy Resources in Electricity Distribution Networks
AU - Nikolaos Gatsis; Likhitha Yalamanchili; Mohammadhafez Bazrafshan; Paresh Risbud
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1014
ER -
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud. (2016). Decentralized Coordination of Energy Resources in Electricity Distribution Networks. IEEE SigPort. http://sigport.org/1014
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud, 2016. Decentralized Coordination of Energy Resources in Electricity Distribution Networks. Available at: http://sigport.org/1014.
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud. (2016). "Decentralized Coordination of Energy Resources in Electricity Distribution Networks." Web.
1. Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud. Decentralized Coordination of Energy Resources in Electricity Distribution Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1014

Privacy-Preserving Energy Flow Control in Smart Grids

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Authors:
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund
Submitted On:
23 March 2016 - 11:03am
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Zuxing Li.pdf

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[1] Zuxing Li, Tobias J. Oechtering, Mikael Skoglund, "Privacy-Preserving Energy Flow Control in Smart Grids", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/995. Accessed: May. 30, 2020.
@article{995-16,
url = {http://sigport.org/995},
author = {Zuxing Li; Tobias J. Oechtering; Mikael Skoglund },
publisher = {IEEE SigPort},
title = {Privacy-Preserving Energy Flow Control in Smart Grids},
year = {2016} }
TY - EJOUR
T1 - Privacy-Preserving Energy Flow Control in Smart Grids
AU - Zuxing Li; Tobias J. Oechtering; Mikael Skoglund
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/995
ER -
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund. (2016). Privacy-Preserving Energy Flow Control in Smart Grids. IEEE SigPort. http://sigport.org/995
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund, 2016. Privacy-Preserving Energy Flow Control in Smart Grids. Available at: http://sigport.org/995.
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund. (2016). "Privacy-Preserving Energy Flow Control in Smart Grids." Web.
1. Zuxing Li, Tobias J. Oechtering, Mikael Skoglund. Privacy-Preserving Energy Flow Control in Smart Grids [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/995

Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring

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Authors:
Lutz Lampe
Submitted On:
23 February 2016 - 1:44pm
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v3.pdf

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[1] Lutz Lampe, "Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/563. Accessed: May. 30, 2020.
@article{563-15,
url = {http://sigport.org/563},
author = {Lutz Lampe },
publisher = {IEEE SigPort},
title = {Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring},
year = {2015} }
TY - EJOUR
T1 - Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring
AU - Lutz Lampe
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/563
ER -
Lutz Lampe. (2015). Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring. IEEE SigPort. http://sigport.org/563
Lutz Lampe, 2015. Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring. Available at: http://sigport.org/563.
Lutz Lampe. (2015). "Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring." Web.
1. Lutz Lampe. Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/563

Detection of False Data Injection Attacks in Smart Grid Communication Systems


The transformation of traditional energy networks to smart grids can assist in revolutionizing the energy industry
in terms of reliability, performance and manageability. However, increased connectivity of power grid assets for bidirectional communications presents severe security vulnerabilities. In this paper, we investigate Chi-square detector and cosine similarity matching approaches for attack detection in smart grids where Kalman filter estimation is used to measure any deviation from actual measurements. The cosine similarity matching approach is

Paper Details

Authors:
Chandra Bajracharya
Submitted On:
23 February 2016 - 1:44pm
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Attack Detection in Smart Grid @ GlobalSIP 2015.pdf

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[1] Chandra Bajracharya, "Detection of False Data Injection Attacks in Smart Grid Communication Systems", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/538. Accessed: May. 30, 2020.
@article{538-15,
url = {http://sigport.org/538},
author = {Chandra Bajracharya },
publisher = {IEEE SigPort},
title = {Detection of False Data Injection Attacks in Smart Grid Communication Systems},
year = {2015} }
TY - EJOUR
T1 - Detection of False Data Injection Attacks in Smart Grid Communication Systems
AU - Chandra Bajracharya
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/538
ER -
Chandra Bajracharya. (2015). Detection of False Data Injection Attacks in Smart Grid Communication Systems. IEEE SigPort. http://sigport.org/538
Chandra Bajracharya, 2015. Detection of False Data Injection Attacks in Smart Grid Communication Systems. Available at: http://sigport.org/538.
Chandra Bajracharya. (2015). "Detection of False Data Injection Attacks in Smart Grid Communication Systems." Web.
1. Chandra Bajracharya. Detection of False Data Injection Attacks in Smart Grid Communication Systems [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/538

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