Distribution grid planning enhancement using profiling estimation technic

CIRED Workshop 2016(2016)

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Abstract
In this study, the load profile estimation is done using the profiling technic, and its performance is enhanced using the real consumption values of the consumers. The results of estimation are evaluated using the measured data at the level of HV/MV (High Voltage/Low Voltage) substation and also MV feeders containing industrial and residential consumers and wind power productions. Based on the gap between actual measured data and estimated profiles, a correction factor is introduced that is applicable at the level of single MV/LV substations. These factors will be used for grid simulation and planning studies where the results will be more reliable compared to the previous estimation technics.
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Key words
Distribution grid,Profiling estimation,HV/MV substation,MV/LV substation,Artificial neural networks
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