The invention discloses an active power distribution network
planning method based on a
big data technology, and belongs to the field of intelligent
power grid planning. The method comprises the following steps: fusing an initial
database and power distribution network detection data, planning data fusion
modes in different scenes, and planning node positions and scales in an active power distribution network by using the initial
database; fusing various indexes with an
electronic map by adopting a mature technical framework according to service index data,
geographic space data and
network topology data of the active power distribution network, and integrating the fused active power distribution
network data; establishing the fused model, and solving the fused model; scheduling and configuring the known data, and establishing a
data analysis library; establishing an effective
index system, and carrying out comprehensive detection and abnormal
motion detection. According to the invention, the active power distribution network is combined with
big data to acquire sound
data information, and the information is located at the same
latitude; and an established effective
index system isused for realizing comprehensive detection and abnormal
change detection.