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Emerging: Smart Grid & Energy Management

Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure


This poster presents a real-time decentralized temperature control scheme via Heating Ventilation and Air Conditioning (HVAC) systems for energy efficient buildings, which balances user comfort and energy saving. Firstly, we introduce a thermal dynamic model of building systems and its approximation. Then a steady-state optimization problem is formulated, which aims to minimize the aggregate deviation between zone temperatures and their set points, as well as the building energy consumption.

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Authors:
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li
Submitted On:
21 January 2017 - 11:11am
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PosterGlobalSIP16rere.pdf

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[1] Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li, "Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1442. Accessed: Feb. 25, 2017.
@article{1442-17,
url = {http://sigport.org/1442},
author = {Wenbo Shi; Xiwang Li; Bin Yan; Ali Malkawi; Na Li },
publisher = {IEEE SigPort},
title = {Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure},
year = {2017} }
TY - EJOUR
T1 - Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure
AU - Wenbo Shi; Xiwang Li; Bin Yan; Ali Malkawi; Na Li
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1442
ER -
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li. (2017). Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure. IEEE SigPort. http://sigport.org/1442
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li, 2017. Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure. Available at: http://sigport.org/1442.
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li. (2017). "Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure." Web.
1. Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li. Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1442

Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow

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15 December 2016 - 10:02pm
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globalsip.pdf

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[1] , "Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1439. Accessed: Feb. 25, 2017.
@article{1439-16,
url = {http://sigport.org/1439},
author = { },
publisher = {IEEE SigPort},
title = {Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow},
year = {2016} }
TY - EJOUR
T1 - Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1439
ER -
. (2016). Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow. IEEE SigPort. http://sigport.org/1439
, 2016. Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow. Available at: http://sigport.org/1439.
. (2016). "Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow." Web.
1. . Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1439

Real-Time Operation of Heterogeneous Energy Storage Units


Energy storage systems are becoming a key component in smart grids with increasing renewable penetration. Storage technologies feature diverse capacity, charging, and response specifications. Investment and degradation costs may require charging batteries at multiple timescales, potentially matching the control periods at which grids are dispatched. To this end, a microgrid equipped with slow- and fast-responding batteries is considered here. Energy management decisions are taken at two stages.

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Authors:
Sarthak Gupta, Vassilis Kekatos
Submitted On:
9 December 2016 - 2:13pm
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presentation.pdf

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[1] Sarthak Gupta, Vassilis Kekatos, "Real-Time Operation of Heterogeneous Energy Storage Units", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1433. Accessed: Feb. 25, 2017.
@article{1433-16,
url = {http://sigport.org/1433},
author = {Sarthak Gupta; Vassilis Kekatos },
publisher = {IEEE SigPort},
title = {Real-Time Operation of Heterogeneous Energy Storage Units},
year = {2016} }
TY - EJOUR
T1 - Real-Time Operation of Heterogeneous Energy Storage Units
AU - Sarthak Gupta; Vassilis Kekatos
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1433
ER -
Sarthak Gupta, Vassilis Kekatos. (2016). Real-Time Operation of Heterogeneous Energy Storage Units. IEEE SigPort. http://sigport.org/1433
Sarthak Gupta, Vassilis Kekatos, 2016. Real-Time Operation of Heterogeneous Energy Storage Units. Available at: http://sigport.org/1433.
Sarthak Gupta, Vassilis Kekatos. (2016). "Real-Time Operation of Heterogeneous Energy Storage Units." Web.
1. Sarthak Gupta, Vassilis Kekatos. Real-Time Operation of Heterogeneous Energy Storage Units [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1433

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: Feb. 25, 2017.
@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

Paper Details

Authors:
Yang Chen, Harish Chintakunta, Le Xie, Yuliy Baryshnikov, P.R. Kumar
Submitted On:
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: Feb. 25, 2017.
@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: Feb. 25, 2017.
@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: Feb. 25, 2017.
@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: Feb. 25, 2017.
@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: Feb. 25, 2017.
@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
Submitted On:
24 March 2016 - 7:39pm
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05_talk_ICASSP_DecentrCoordDERs.pdf

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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: Feb. 25, 2017.
@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

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