Refined load predication method based on space subdivision

Abstract

The invention discloses a refined load predication method based on space subdivision. The method comprises the following steps of S1, collecting basic data and power distribution network planning target data; S2, performing city space, historical load and city development target subdivision analysis on the basic data and the power distribution network planning target data, and obtaining a subdivided plot load; S3, performing refined load prediction on the plot load after subdivision of the city space, the historical load and the city development target obtained in the S2 through a space subdivision refined prediction model; and S4, outputting a refined load prediction result. The refined load predication method can improve load prediction accuracy. Load predication is refined to the specific plot and is closely combined with factors such as city planning, plot construction scale and user power consumption level, thereby improving scientificalness in load predication.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a refined load forecasting method based on space subdivision. Background technique [0002] Load forecasting is the basic work of power grid planning and the core basis for judging the construction demand of power supply facilities. It determines the construction scale and distribution of substations, distribution stations, and lines in distribution network planning. Load forecasting can generally be divided into total load forecasting and space load forecasting. At present, space load forecasting in some cities has been divided into regional functional blocks. [0003] From the analysis of the practicability of load forecasting, for the total load forecast, only the total load of the regional target year can be obtained, which is the overall trend forecast of the load, and different methods can be used to carry out the forecast work according to factors such as urban GDP, population...

AI Technical Summary

Problems solved by technology

In the functional block, the mature land and the land to be transformed are mixed, and the development stage and the grid structure are not unified, which also makes it difficult to decompose and accurately locate the load forecast results, and it is difficult to accurately guide the planning of the medium and low voltage distribution network

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