Dynamic residential load scheduling based on an adaptive consumption level pricing scheme

TL;DR

This paper introduces a dynamic residential load scheduling system that uses an adaptive consumption level pricing scheme to reduce energy bills and peak load, benefiting both consumers and utilities.

Contribution

It proposes a novel adaptive consumption level pricing scheme integrated with a load scheduling system for residential energy management.

Findings

Customers can reduce energy bills by up to 53%.

Peak load can be decreased by up to 35%.

System improves energy efficiency and cost savings.

Abstract

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%.