Real-Time Opportunistic Scheduling for Residential Demand Response

Demand response is a key feature of the smart grid. The addition of bidirectional communication to today's power grid can provide real-time pricing (RTP) to customers via smart meters. A growing number of appliance companies have started to design and produce smart appliances which embed intell...

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Published inIEEE transactions on smart grid Vol. 4; no. 1; pp. 227 - 234
Main Authors Peizhong Yi, Xihua Dong, Iwayemi, A., Chi Zhou, Shufang Li
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.03.2013
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Demand response
Electric utilities
Electricity
Electricity distribution
Home appliances
Optimal scheduling
optimal stopping rule
Power demand
Pricing
real-time pricing (RTP)
Real-time systems
Scheduling
Scheduling algorithms
smart appliance
smart grid
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Abstract Demand response is a key feature of the smart grid. The addition of bidirectional communication to today's power grid can provide real-time pricing (RTP) to customers via smart meters. A growing number of appliance companies have started to design and produce smart appliances which embed intelligent control modules to implement residential demand response based on RTP. However, most of the current residential load scheduling schemes are centralized and based on either day-ahead pricing (DAP) or predicted price, which can deviate significantly from the RTP. In this paper, we propose an opportunistic scheduling scheme based on the optimal stopping rule as a real-time distributed scheduling algorithm for smart appliances' automation control. It determines the best time for appliances' operation to balance electricity bill reduction and inconvenience resulting from the operation delay. It is shown that our scheme is a distributed threshold policy when no constraint is considered. When a total power constraint exists, the proposed scheduling algorithm can be implemented in either a centralized or distributed fashion. Our scheme has low complexity and can be easily implemented. Simulation results validate proposed scheduling scheme shifts the operation to off-peak times and consequently leads to significant electricity bill saving with reasonable waiting time.
AbstractList Demand response is a key feature of the smart grid. The addition of bidirectional communication to today's power grid can provide real-time pricing (RTP) to customers via smart meters. A growing number of appliance companies have started to design and produce smart appliances which embed intelligent control modules to implement residential demand response based on RTP. However, most of the current residential load scheduling schemes are centralized and based on either day-ahead pricing (DAP) or predicted price, which can deviate significantly from the RTP. In this paper, we propose an opportunistic scheduling scheme based on the optimal stopping rule as a real-time distributed scheduling algorithm for smart appliances' automation control. It determines the best time for appliances' operation to balance electricity bill reduction and inconvenience resulting from the operation delay. It is shown that our scheme is a distributed threshold policy when no constraint is considered. When a total power constraint exists, the proposed scheduling algorithm can be implemented in either a centralized or distributed fashion. Our scheme has low complexity and can be easily implemented. Simulation results validate proposed scheduling scheme shifts the operation to off-peak times and consequently leads to significant electricity bill saving with reasonable waiting time.
Author Chi Zhou
Peizhong Yi
Iwayemi, A.
Xihua Dong
Shufang Li
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  surname: Xihua Dong
  fullname: Xihua Dong
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  surname: Iwayemi
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  surname: Chi Zhou
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  surname: Shufang Li
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  organization: Telecommun. Eng. Inst., Beijing Univ. of Posts & Telecommun., Beijing, China
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Cites_doi 10.1109/TPWRS.2005.852147
10.1016/j.epsr.2008.04.002
10.1109/TSG.2010.2055903
10.1109/TDC.2008.4517059
10.1109/59.32577
10.1109/TPWRS.2003.810692
10.1109/59.207366
10.1109/MPE.2010.936353
10.1109/TPWRS.2002.804945
10.1109/ISIE.1998.711553
10.1511/2009.77.126
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References derin (ref12) 0
ref23
ref14
ferguson (ref20) 0
braithwait (ref6) 2002
ref11
ref22
ref10
shiryaev (ref16) 2007
ref2
(ref1) 2005
(ref21) 2008; 15
ref19
kamper (ref15) 2006; 2006
ref18
bloustein (ref9) 2005
ref8
ref7
yi (ref17) 0; 18
ref3
ref5
(ref4) 2006
(ref13) 2011
References_xml – year: 0
  ident: ref20
  publication-title: Optimal Stopping and Applications
– ident: ref3
  doi: 10.1109/TPWRS.2005.852147
– ident: ref2
  doi: 10.1016/j.epsr.2008.04.002
– ident: ref14
  doi: 10.1109/TSG.2010.2055903
– year: 2005
  ident: ref1
  publication-title: U S household electricity report
– year: 2005
  ident: ref9
  publication-title: Assessment of Customer Response to Real Time Pricing
– ident: ref7
  doi: 10.1109/TDC.2008.4517059
– ident: ref19
  doi: 10.1109/59.32577
– ident: ref5
  doi: 10.1109/TPWRS.2003.810692
– volume: 18
  start-page: 3690
  year: 0
  ident: ref17
  article-title: Distributed opportunistic scheduling in power systems-An optimal stopping approach
  publication-title: Proc 18th IFAC World Congr 2011
– ident: ref8
  doi: 10.1109/59.207366
– volume: 2006
  start-page: 253
  year: 2006
  ident: ref15
  article-title: Scheduling of electrical household appliances with price signals
  publication-title: Oper Res Proc
– year: 2006
  ident: ref4
  publication-title: Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them
– year: 2002
  ident: ref6
  publication-title: The Role of Demand Response in Electric Power Market Design
– ident: ref23
  doi: 10.1109/MPE.2010.936353
– year: 2007
  ident: ref16
  publication-title: Optimal Stopping Rules
– volume: 15
  year: 2008
  ident: ref21
  publication-title: Zigbee smart energy profile specification
– ident: ref22
  doi: 10.1109/TSG.2010.2055903
– year: 2011
  ident: ref13
  publication-title: Ameren Illinois Real Time Prices
– ident: ref10
  doi: 10.1109/TPWRS.2002.804945
– ident: ref11
  doi: 10.1109/ISIE.1998.711553
– year: 0
  ident: ref12
  article-title: Scheduling energy consumption with local renewable micro-generation and dynamic electricity prices
  publication-title: Proc 1st Workshop Green Smart Embedded Syst Technol Infrastruct Methods Tools (CPSWEEK/GREEMBED 2010)
– ident: ref18
  doi: 10.1511/2009.77.126
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SubjectTerms Demand response
Electric utilities
Electricity
Electricity distribution
Home appliances
Optimal scheduling
optimal stopping rule
Power demand
Pricing
real-time pricing (RTP)
Real-time systems
Scheduling
Scheduling algorithms
smart appliance
smart grid
Title Real-Time Opportunistic Scheduling for Residential Demand Response
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