TY - GEN
T1 - Residential demand response with power adjustable and unadjustable appliances in smart grid
AU - Zhao, Guodong
AU - Li, Liying
AU - Zhang, Jun
AU - Letaief, Khaled B.
PY - 2013/12/27
Y1 - 2013/12/27
N2 - 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%.
AB - 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%.
UR - http://www.scopus.com/inward/record.url?scp=84890882364&partnerID=8YFLogxK
U2 - 10.1109/ICCW.2013.6649264
DO - 10.1109/ICCW.2013.6649264
M3 - Conference article published in proceeding or book
AN - SCOPUS:84890882364
SN - 9781467357531
T3 - 2013 IEEE International Conference on Communications Workshops, ICC 2013
SP - 386
EP - 390
BT - 2013 IEEE International Conference on Communications Workshops, ICC 2013
T2 - 2013 IEEE International Conference on Communications Workshops, ICC 2013
Y2 - 9 June 2013 through 13 June 2013
ER -
