Distribution transformer typical daily load curve analysis based on the classification with trend of main changing

Typical daily load curves (TDLCs) of distribution transformer (DT), which can reflect the peak and valley changes of the user load, are the important base of demand side management on orderly power consumption and peak cut. After the useres´ daily load curves of distribution transformer are preprocessed with integrity testing and normalization, the main load peak time (MLPT) and main load valley time (MLVT) of the daily load curves (DLCs) are gathered by removing the phenomenon of shaking and fluctuation. On the statistics of the MLPT and MLVT, the trend of main changing is analyzed using Ostu method. DLCs are classified according to the similarity in peak-valley time, and then, the TDLCs are calculated based on the classifications. The experimental results show that our classification method of DLCs based on peak-valley feature avoids the selection of classification number, and enhences the uniformity of the peak-valley changing in the same kind load cuvers. And the obtained TDLCs not only include the routine TDLCs, but also include the special typical daily cuvers like traditional holidays. And there exist relations between the analyzed TDLCs and the influence factors like temperature, which can help the understanding of load characteristic.