  Demand response (DR) for smart grids, which intends to balance the required
power demand with the available supply resources, has been gaining widespread
attention. The growing demand for electricity has presented new opportunities
for residential load scheduling systems to improve energy consumption by
shifting or curtailing the demand required with respect to price change or
emergency cases. In this paper, a dynamic residential load scheduling system
(DRLS) is proposed for optimal scheduling of household appliances on the basis
of an adaptive consumption level (CL) pricing scheme (ACLPS). The proposed load
scheduling system encourages customers to manage their energy consumption
within the allowable consumption allowance (CA) of the proposed DR pricing
scheme to achieve lower energy bills. Simulation results show that employing
the proposed DRLS system benefits the customers by reducing their energy bill
and the utility companies by decreasing the peak load of the aggregated load
demand. For a given case study, the proposed residential load scheduling system
based on ACLPS allows customers to reduce their energy bills by up to 53% and
to decrease the peak load by up to 35%.
