Analysis of Residential Load Components: Case of Tehran Province 1385-1397

In the present study, due to the high cost of smart metering, the electricity load data of Tehran is decomposed to identify the energy consumption pattern and the energy-saving potentials of households. The present study identifies household consumption in times of low, medium and peak load. To identify the household load curve, the aggregated hourly load data is decomposed and its components are estimated using an optimization model. The optimization is performed in such a way that the power data are consistent with the annual billing data for all end-users. The load analysis has been conducted for 1385-1397. Using load decomposition results, the hourly electricity consumption of some end-uses and the consumption pattern of the households are identified. The results show that during the period under study, the power of the refrigerator-freezer as well as the lighting has been significantly decreased. The electricity used for lighting for a household during peak hours (around 9 pm) has decreased from about 300 watts in 2006 to about 130 watts in 2017. As for the refrigerator-freezers, despite the 100 kWh consumption reduction per year during the years under study, the reduction potential of the refrigerator consumption is on average more than 250 kilowatts per year for a household. An examination of the consumption load curve also shows that despite of electricity consuming device penetration in the household sector, householdchr('39')s electricity consumption in the standard load (in spring or autumn) has decreased over time, which is due to improved lighting efficiency.