Abstract
Abstract Despite their age, residential standard load profiles (SLPs) are a widely used tool to represent the electric power demand of a household. However, the prospect of a future power system relying mainly on renewable and often intermittent, distributed energy resources (DER) is pushing SLPs to their limit. Determining self consumption rates and the potential of demand response through smart home applications or simulating distribution grids, especially the low voltage (LV) level—all require a realistic replication of residential load patterns. However, data of high temporal resolution for individual households is rare. Therefore, several smart meters were installed at participants’ homes within a research project and the measurements are analyzed. For the first time, complete load profiles for a whole year in a temporal resolution of 15 s are used to derive key characteristics. For example, the level of fluctuation is described by different quantiles of the instantaneous power. It is found that the 99% quantile exceeds mean power values by 5 – 10 times, but pooling of households reduces this factor strongly. Other findings, for example that one third to half of the energy is consumed at low power levels (
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