Residential demand response with power adjustable and unadjustable appliances in smart grid

Guodong Zhao, Liying Li, Jun Zhang, Khaled B. Letaief

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

One major objective in smart grids is to improve the system efficiency by reducing the peak-to-average ratio (PAR) of the power consumption, i.e., to balance the supply and demand in the power system. In this paper, we propose to control the power adjustable appliances to reduce PAR in residential buildings. By considering the indoor temperature control appliances, whose operating power is continuously adjustable, we formulate the power management problem as a convex optimization problem to minimize the electricity cost under a comfortable temperature range. An optimal algorithm is developed, which can reduce the cost by about 25% and the PAR by about 63% given non-causal prior knowledge of the power consumption profile of the unadjustable appliances. A practical sub-optimal algorithm that requires only causal knowledge is also developed, which can reduce the cost by about 10% and the PAR by about 28%.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Communications Workshops, ICC 2013
Pages386-390
Number of pages5
DOIs
Publication statusPublished - 27 Dec 2013
Externally publishedYes
Event2013 IEEE International Conference on Communications Workshops, ICC 2013 - Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013

Publication series

Name2013 IEEE International Conference on Communications Workshops, ICC 2013

Conference

Conference2013 IEEE International Conference on Communications Workshops, ICC 2013
Country/TerritoryHungary
CityBudapest
Period9/06/1313/06/13

ASJC Scopus subject areas

  • Computer Networks and Communications

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