With the reformation of electric power system

the expansion of distribution network is an important part of improving the power supply service level and asset utilization of large consumers. Due to the ignorance of load characteristics

the load with the same temporal distribution can be easily connected to the same power supply terminal

which may lead to a series of problems

such as the low utilization

and low voltage of distribution network. For this reason

a load access decision method of large consumers based on load feature library is proposed. Firstly

the load feature library of large consumers is constructed by fuzzy C-means clustering. Then

a decision tree model is used to identify the load pattern of large consumers. At last

a load access optimization model is proposed. The optimization model is aimed at the load balancing of different power supply terminals. The effectiveness of the proposed method is verified by a real project example.