Improving Load Time Series of Electric Power Systems based on the Temperatures

This paper finds the relationship between electrical load and temperatures to improve the creation of synthetic (”realistic but not realistic”) load. The bus-level impact of temperatures is demonstrated on a synthetic Texas grid with 6717 buses. The proposed strategy can be used to scale each load entity to match the calculated load in each area. The load and temperature correlations are calculated and the curves based on recent data are presented. The curves are used to create temperature-aware load profiles. The results show that if the load curves are partitioned based on the temperatures, there is a higher correlation between load demand and temperatures in areas with higher populations. This is most likely due to higher percentages of residential and commercial load in urban areas, and illustrates the importance of updating synthetic load curves based on the changes in weather.