Space load prediction method

A space load forecasting and load technology, applied in the field of electric power system, to achieve the effect of improving forecasting accuracy and easy acquisition

Inactive Publication Date: 2015-07-01
STATE GRID CORP OF CHINA +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a spatial load forecasting method, which overcomes the problem of obtaining forecasted loads according to the uniform classification load average density of all similar old areas, effectively improves the forecasting accuracy, and the additional data is also easy to obtain

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Embodiment Construction

[0018] Referring to the accompanying drawings, through the description of the embodiments, the specific embodiments of the present invention include the shape, structure, mutual position and connection relationship of each part, the function and working principle of each part, and the manufacturing process of the various components involved. And the method of operation and use, etc., are described in further detail to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention.

[0019] A space load forecasting method. The research and selection of space load forecasting methods are limited by the amount of information required by network planning and the amount of existing and possible basic information collected. Therefore, space load forecasting methods are diverse and complex. and achievability at different levels of difficulty. The specific method steps are as follows, a...

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Abstract

The invention relates to a space load prediction method and belongs to the field of power systems. The method includes the steps of firstly, predicting the land using information of a planning year, and dividing lands of the planning year according to communities to determine the classification load density index of a future year; secondly, calculating the load saturation value of each community in the future year, and calculating the total classification load amount and total load saturation value of the future year at the same time; thirdly, using the data of the second step to predict the load distribution of an old city area; fourthly, using the data of the second step to predict the load distribution of a new city area through space deduction; fifthly, checking the load prediction result of the planning year; sixth, continuing checking if the checking result is unsatisfactory until the checking result is satisfactory. By the method, the problem that the prediction load of all same-classification old city areas is obtained according to unified classification load average density is solved, prediction precision is improved effectively, and additional data can be obtained easily.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a space load forecasting method. Background technique [0002] With the continuous development of modern industry and agriculture and the improvement of people's living standards, the society's demand for power supply is increasing. In order to meet the rapidly developing power demand, the power industry management department, one of the important sectors of the national economy, must continuously expand the scale of the power system. Therefore, it is also facing an increasingly heavy task of power grid development planning. [0003] Urban load forecasting has the following characteristics: (1) urban load is scattered in various load areas, and the proportion of point load is not large; (2) historical load data and load saturation value can be used to predict the development trend of future load, and can Use the urban master plan or urban land use plan as a reference from which to e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
Inventor 林其友侯劲松陈煜田佳陈实黄晟蒯群
Owner STATE GRID CORP OF CHINA
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