Abstract:

Aiming at the heavy and over load issue in operation of distribution network,a heavy overload forecasting model to achieve short-term forecast of heavy and overload events was established.Using the actual data of the business system,the proposed method was validated.The results show that the proposed method can describe the heavy and overload events more systematically and comprehensively,and the heavy overload forecasting model based on association rules performs well in the hit rate and accuracy rate.This method provides a new technical means that has certain practical value to enhance the distribution network management which could be seen as important experience of attempts in grid big data as well.

Key words: distribution transformer heavy and overload, relevance analyze, machine learning