Dynamic residential load scheduling based on adaptive consumption level pricing scheme

Haider Tarish Haider, Hang See Ong, Wilfried Elmenreich

Research output: Contribution to journalArticle

17 Citations (Scopus)

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%.

Original languageEnglish
Pages (from-to)27-35
Number of pages9
JournalElectric Power Systems Research
Volume133
DOIs
Publication statusPublished - 01 Apr 2016

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Dynamic loads
Scheduling
Costs
Energy utilization
Domestic appliances
Electricity
Industry

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

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Dynamic residential load scheduling based on adaptive consumption level pricing scheme. / Haider, Haider Tarish; Ong, Hang See; Elmenreich, Wilfried.

In: Electric Power Systems Research, Vol. 133, 01.04.2016, p. 27-35.

Research output: Contribution to journalArticle

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AU - Ong, Hang See

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