Live Digital Map Driven Distribution Network Planning Scheme Intelligent Evaluation Method and System

A live digital map driven distribution network planning scheme intelligent evaluation method, comprising:

• acquiring live map data and plot type information in a map as original data set, establishing a U-Net convolutional neural network by means of using a stacked auto-encoder, and taking the original data set as the input of convolutional neural network training;
• training the convolutional neural network by means of using an awakening-sleep mechanism;
• inputting live map data of a region to be planned into the convolutional neural network by means of using convolutional neural network parameters obtained through training of the awakening-sleep mechanism, so as to obtain area data of each plot type;
• multiplying a typical load curve and a load density of each plot acquired in advance with the obtained plot area, so as to obtain the load curve of each plot;
• calculating, based on the load curve of each plot, four indexes of rate of equipment utilization, power supply radius, installed capacity of renewable energy and peak-valley difference for each alternative planning scheme;
• and
• calculating weights of four indexes by means of using a data driven information entropy weight calculating method, and calculating the final score of an alternative planning scheme, thereby completing evaluation.