The time-sequence situation picture based on the electrical wiring diagram is designed according to a specific diagram. Its characteristic vector is a high dimensional mapping of the fusion of dynamic power flows such as network structure

operation mode

action of load and other equipment

and measurement data. Through the clustering analysis based on the limited number of core characteristic vectors used to describe the time-sequence situation pictures

the hidden rule and valuable knowledge in situation pictures can be acquired. As a trial

the characteristic vector of voltage contour situation picture of substation-centralized distribution network is defined and its calculating methods are proposed. The characteristic vector based clustering analysis method of time-sequence situation pictures is explored. Several new measurement indices for the clustering classification

including picture similarity and time dispersion of clustered center pictures(typical pictures)

are proposed to help with best picture clustering. By taking the 96 voltage time-sequence situation pictures in a typical day as an example

the effect of the proposed method and the analysis results are described. The preliminary clustering analysis of situation pictures with a long time-sequence of approximately two months has been carried on. This work is supported by National Natural Science Foundation of China(No. 51677047)and Zhejiang Provincial Natural Science Foundation of China(No. LZ12E07001).