Demand characterization and management in a smart city

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 leve...

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Bibliographic Details
Published in2016 Eighteenth International Middle East Power Systems Conference (MEPCON) pp. 392 - 399
Main Authors Al Wardi, Mohammed Saif Ali, Jayaweera, Dilan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2016
Subjects
Energy consumption
Home appliances
Load flow
Loss measurement
MATLAB
power flow
power system operation
random sampling
Smart cities
Smart grids
Space heating
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Summary: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.
DOI:10.1109/MEPCON.2016.7836921