Space-time load prediction method based on graph neural network and regional gridding

Abstract

A space-time load prediction method based on a graph neural network and regional gridding relates to the technical field of power system power distribution network planning, and comprises the following steps: step 1, feature engineering: selecting data features; 2, constructing a network topology, and fusing the feature information in the step 1; 3, transmitting the feature information of each power supply unit based on the topological graph in the step 2; 4, predicting the load of the power supply unit based on the network topological graph obtained in the step 2 and the power supply unit information obtained in the step 3; and step 5, based on the previous steps, dividing grids, and carrying out unit load power supply grid load prediction. According to the method, a to-be-predicted region is divided into a plurality of grids, and a neural network load prediction model is used for a load structure to obtain load prediction results of the whole city at different time and regions; a load prediction model is established through a gridding technology, a graph neural network, regression prediction and other methods, power grid topological structure information is fused, and more accurate prediction is provided for a power distribution network planning load prediction task of a power system.

Description

technical field [0001] The invention relates to the technical field of power system distribution network planning, in particular to a space-time load forecasting method based on graph neural network and regional grid. Background technique [0002] With the gradual acceleration of industrialization and urbanization in our country, limited by urban land resources and environmental capacity factors, the coordination problem between urban power grid development and urban development has become more and more prominent, and the influence of space-time load forecasting on distribution network planning is crucial. important. Space-time load forecasting is the premise and foundation of distribution network planning, which reveals the geographical location, quantity and generation time of power users and load distribution. The conventional load forecasting idea is to uniformly forecast the substations and point loads in the city, especially the growth rate suitable for the urban econ...

AI Technical Summary

Problems solved by technology

The above method does not make full use of the information contained in the historical load data, and there is room for improvement in the accuracy of the prediction results obtained

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