Load Type Mixture Extraction from Measured Time Series of Hand-Over Point Active Power

M. Wolter (Germany)


Fig.1 to Fig.3 show load profiles of each group in winter (black) and summer (grey) normalized to 4 MWh / a. Load type mixture, mean voltage level, grid condition identification, analytic load profiles, energy management systems 0 50 100 150 0 0.2 0.4 0.6 0.8 1 time / h P / k W


Energy management systems depend on information on grid condition. In low and mean voltage level grids this information is not entirely available and thus has to be assumed at the best. Therefore knowledge about load type mixture is very useful. To simplify estimation of energy consumption of costumers within one year VDEW announced eleven different analytic load profiles merged into groups of domestic, industrial and agricultural type: In this paper a nodal load extraction algorithm is presented. It helps to determine the amount of different load types at a specific node or within a high or mean voltage level grid by only using measured time series of active power flows at hand-over points as input parameter. These time-series are superposed by potentially high variable fed powers of distributed generation sources and influenced by many other unknown variables. • common industry • industry on weekdays 8 am to 6 pm • industry on weekdays (evening) • continuous industry • stores and barbers • bakeries • industry on weekends • common domesticWith this algorithm it is possible to determine load composition of one single node as well as of a whole distribution grid segment. • common agriculture • milk production • miscellaneous agriculture

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