Optimal residential load scheduling based on time varying pricing scheme

Haider Tarish Haider, Hang See Ong, W. Elmenreich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Demand response (DR) has been getting widespread attention for smart grids to manage the required power demand with the available power supply resources. The recent integration of information and communication technology (ICT) systems 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, an optimal residential load scheduling system (ORLS) is proposed for dynamic scheduling of household appliances on the basis of a time of use (TOU) pricing scheme using iterative optimization method. The proposed load scheduling system encourages customers to manage their energy consumption to achieve lower energy bills and balance load consumption. Simulation results show that employing the proposed ORLS system benefits the customers by reducing their energy bill and the utility companies by decreasing the peak load of required customer load demand. The proposed residential load scheduling system based on TOU allows customers to reduce their energy bills by up to 31% and to decrease the peak load by up to 35%.

Original languageEnglish
Title of host publication2015 IEEE Student Conference on Research and Development, SCOReD 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages210-214
Number of pages5
ISBN (Electronic)9781467395724
DOIs
Publication statusPublished - 07 Apr 2016
EventIEEE Student Conference on Research and Development, SCOReD 2015 - Kuala Lumpur, Malaysia
Duration: 13 Dec 201514 Dec 2015

Other

OtherIEEE Student Conference on Research and Development, SCOReD 2015
CountryMalaysia
CityKuala Lumpur
Period13/12/1514/12/15

Fingerprint

Scheduling
Costs
Energy utilization
Domestic appliances
Communication
Industry

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Haider, H. T., Ong, H. S., & Elmenreich, W. (2016). Optimal residential load scheduling based on time varying pricing scheme. In 2015 IEEE Student Conference on Research and Development, SCOReD 2015 (pp. 210-214). [7449326] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2015.7449326
Haider, Haider Tarish ; Ong, Hang See ; Elmenreich, W. / Optimal residential load scheduling based on time varying pricing scheme. 2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 210-214
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Haider, HT, Ong, HS & Elmenreich, W 2016, Optimal residential load scheduling based on time varying pricing scheme. in 2015 IEEE Student Conference on Research and Development, SCOReD 2015., 7449326, Institute of Electrical and Electronics Engineers Inc., pp. 210-214, IEEE Student Conference on Research and Development, SCOReD 2015, Kuala Lumpur, Malaysia, 13/12/15. https://doi.org/10.1109/SCORED.2015.7449326

Optimal residential load scheduling based on time varying pricing scheme. / Haider, Haider Tarish; Ong, Hang See; Elmenreich, W.

2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 210-214 7449326.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Haider HT, Ong HS, Elmenreich W. Optimal residential load scheduling based on time varying pricing scheme. In 2015 IEEE Student Conference on Research and Development, SCOReD 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 210-214. 7449326 https://doi.org/10.1109/SCORED.2015.7449326