Study on load classification of power distribution transformer based on data stream management
Yinghui Kong, Jinsha Yuan, Tiefeng Zhang, Yulin Qi, Lei Wu · 2006
Traditional load classification of power distribution transformer can not reflect to the characteristics of power utilization according the fact, consideration on the characteristics of time-varying can make related work be fair. Using k-mean clustering algorithm, we classify the load of actual power distribution transformer customers according to similarity of trend in a period of time, and put forward a method of dynamic load classification based on sliding window model and DFT synopsis data structure in data stream management techniques. Experiment results show that this method is effective. (6 pages)