Demand characterization and management in a smart city

Mohammed Saif Ali Al Wardi; Dilan Jayaweera

doi:10.1109/MEPCON.2016.7836921

Demand characterization and management in a smart city

Mohammed Saif Ali Al Wardi^*, Dilan Jayaweera

^*Corresponding author for this work

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The growth of electricity demand, increased integration of renewable power generation, and increased uncertainties require a greater investment in the future distribution network sector in order to ensure secure, economic, efficient operation. It is also a prime requirement to see the realistic level of customer electricity consumption in order to manage system demand and to meet said criteria. Taking into account these challenges, the paper investigates an innovative and alternative methodology to characterize the domestic electricity demand of a smart city based on statistically data recorded at half-hourly intervals. The paper also investigates domestic demand side management by smartly shifting the demand peaks to demand valleys as appropriate to consumer and distribution network needs. A set of case studies are performed and the results suggest that the proposed approach can capture strategic smart city locations that benefits the operation of a distribution network.

Original language	English
Title of host publication	2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings
Editors	Omar H. Abdalla
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	392-399
Number of pages	8
ISBN (Electronic)	9781467390637
DOIs	https://doi.org/10.1109/MEPCON.2016.7836921
Publication status	Published - 30 Jan 2017
Event	18th International Middle-East Power Systems Conference, MEPCON 2016 - Cairo, Egypt Duration: 27 Dec 2016 → 29 Dec 2016

Publication series

Name	2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings

Conference

Conference	18th International Middle-East Power Systems Conference, MEPCON 2016
Country/Territory	Egypt
City	Cairo
Period	27/12/16 → 29/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

power flow
power system operation
random sampling
Smart grids

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment
Energy Engineering and Power Technology
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/MEPCON.2016.7836921

Cite this

Al Wardi, M. S. A., & Jayaweera, D. (2017). Demand characterization and management in a smart city. In O. H. Abdalla (Ed.), 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings (pp. 392-399). Article 7836921 (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/MEPCON.2016.7836921

Al Wardi, Mohammed Saif Ali ; Jayaweera, Dilan. / Demand characterization and management in a smart city. 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings. editor / Omar H. Abdalla. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 392-399 (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings).

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Al Wardi, MSA & Jayaweera, D 2017, Demand characterization and management in a smart city. in OH Abdalla (ed.), 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings., 7836921, 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), pp. 392-399, 18th International Middle-East Power Systems Conference, MEPCON 2016, Cairo, Egypt, 27/12/16. https://doi.org/10.1109/MEPCON.2016.7836921

Demand characterization and management in a smart city. / Al Wardi, Mohammed Saif Ali; Jayaweera, Dilan.
2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings. ed. / Omar H. Abdalla. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 392-399 7836921 (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Al Wardi, Mohammed Saif Ali

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N2 - The growth of electricity demand, increased integration of renewable power generation, and increased uncertainties require a greater investment in the future distribution network sector in order to ensure secure, economic, efficient operation. It is also a prime requirement to see the realistic level of customer electricity consumption in order to manage system demand and to meet said criteria. Taking into account these challenges, the paper investigates an innovative and alternative methodology to characterize the domestic electricity demand of a smart city based on statistically data recorded at half-hourly intervals. The paper also investigates domestic demand side management by smartly shifting the demand peaks to demand valleys as appropriate to consumer and distribution network needs. A set of case studies are performed and the results suggest that the proposed approach can capture strategic smart city locations that benefits the operation of a distribution network.

AB - The growth of electricity demand, increased integration of renewable power generation, and increased uncertainties require a greater investment in the future distribution network sector in order to ensure secure, economic, efficient operation. It is also a prime requirement to see the realistic level of customer electricity consumption in order to manage system demand and to meet said criteria. Taking into account these challenges, the paper investigates an innovative and alternative methodology to characterize the domestic electricity demand of a smart city based on statistically data recorded at half-hourly intervals. The paper also investigates domestic demand side management by smartly shifting the demand peaks to demand valleys as appropriate to consumer and distribution network needs. A set of case studies are performed and the results suggest that the proposed approach can capture strategic smart city locations that benefits the operation of a distribution network.

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KW - power system operation

KW - random sampling

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Al Wardi MSA, Jayaweera D. Demand characterization and management in a smart city. In Abdalla OH, editor, 2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 392-399. 7836921. (2016 18th International Middle-East Power Systems Conference, MEPCON 2016 - Proceedings). doi: 10.1109/MEPCON.2016.7836921

Demand characterization and management in a smart city

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this