Multi-scale spatial load predicting method balancing spatial heterogeneity

A technology for spatial load forecasting and spatial heterogeneity, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of ignoring spatial heterogeneity, lack of important factors in load forecasting accuracy, and affecting power grid system investment and operation Reasonability and other issues to achieve the effect of improving accuracy

Inactive Publication Date: 2014-01-29
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

However, there are two significant problems in this method: on the one hand, this method ignores the spatial heterogeneity of land use type changes, and the accuracy of load forecasting directly affects the rationality of grid system investment and operation;

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  • Multi-scale spatial load predicting method balancing spatial heterogeneity
  • Multi-scale spatial load predicting method balancing spatial heterogeneity
  • Multi-scale spatial load predicting method balancing spatial heterogeneity

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Embodiment Construction

[0037] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0038] figure 1 It is a flowchart of a multi-scale spatial load forecasting method considering spatial heterogeneity provided by the present invention. figure 1 Among them, a multi-scale spatial load forecasting method that takes into account spatial heterogeneity is characterized in that the method specifically includes the following steps:

[0039] Step 1: Divide the research area irregularly according to the size of the spatial variation coefficient in the research area, so as to obtain irregular partitions under a single scale;

[0040] The steps of dividing the research area irregularly according to the size of the spatial variation coefficient include:

[0041] Step 101: Set N initial central starting points i...

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Abstract

The invention discloses a multi-scale spatial load predicting method balancing spatial heterogeneity, and relates to the field of electric planning and load predicting. According to the technical scheme, the method includes firstly dividing a study region irregularly according to spatial variation coefficients in the study region, performing cluster integration on irregular regions in a single scale according to similarity of the adjacent regions, and obtaining the irregular regions in multiple scales; adopting the C 5.0 decision tree algorithm, and obtaining conversion rules of the irregular regions in each multiple scale so as to drive cellular automata model simulating region land types to change; accordingly obtaining predicted load density of each lank type. The multi-scale spatial load predicting method balancing the spatial heterogeneity is provided on the basis of the spatial heterogeneity of geographical phenomena, distribution of power load in the space can be simulated in more reasonable and realistic manners, and accuracy of spatial load prediction is improved.

Description

technical field [0001] The invention belongs to the field of electric power planning and load forecasting, and in particular relates to a multi-scale spatial load forecasting method considering spatial heterogeneity. Background technique [0002] Spatial Load Forecasting (SLF) is the basis of power grid planning. The land use simulation method is currently the most accurate spatial load forecasting model. It simulates the future development of the community by establishing a land use simulation model, and finally predicts the total load. The results are assigned to the plots. However, there are two significant problems in this method: on the one hand, this method ignores the spatial heterogeneity of land use type changes, and the accuracy of load forecasting directly affects the rationality of grid system investment and operation; on the other hand , the use of a single scale may lead to the loss of some factors that affect the accuracy of load forecasting, even important f...

Claims

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Application Information

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IPC IPC(8): G06F19/00G06F17/50
CPCY02E60/76Y04S40/22Y04S10/50
Inventor 赵强冯建朋李涛靳琳
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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