Power grid infrastructure project investment balance control method and system

A control method and balance technology, which are applied in the field of investment balance control methods and systems for power grid infrastructure projects, can solve problems such as low prediction accuracy and poor stability, and achieve the effects of improving accuracy and rationality, and improving prediction accuracy and stability.

Pending Publication Date: 2022-02-11
ECONOMIC & TECH RES INST OF HUBEI ELECTRIC POWER COMPANY SGCC
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the defects and problems of low prediction accuracy and poor stability in the prior art, and provide a method and system for controlling the investment balance of power grid infrastructure projects with high prediction accuracy and good stability

Method used

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  • Power grid infrastructure project investment balance control method and system
  • Power grid infrastructure project investment balance control method and system
  • Power grid infrastructure project investment balance control method and system

Examples

Experimental program
Comparison scheme
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Embodiment

[0106] See figure 1 , A grid infrastructure project investment balance control method, including the following steps:

[0107] S1, through the measurement of the gray correlation between the investment balance rate of the grid infrastructure project investment balance, construct investment balance influence factor

[0108] The gray correlation value is more than 0.7 is an important factor, and it is important factor between 0.5 ~ 0.7, the greater the correlation factor, the stronger the importance;

[0109] Influencing factors in the investment balance, including the influencing factors of the investment balance of the substation of the investment of substation projects and overhead lines;

[0110] The factor of the substation of the substation engineering investment, including the construction of the main, the total capacity, the high-voltage side outlet, the middle-pressure side outline, the low-voltage side outline return, low voltage capacitor, land acquisition area, main cont...

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Abstract

The invention discloses a power grid infrastructure project investment balance control method and system. The method comprises the following steps: S1, building an investment balance influence factor library by measuring and calculating gray correlation degree between factors influencing power grid infrastructure project investment balance and a power grid infrastructure project investment balance rate; S2, combining principal component analysis and a random forest to construct a power grid infrastructure project investment balance key influence factor screening model so as to screen out key influence factors from an investment balance influence factor library; S3, building power grid infrastructure project investment balance GA-ELM prediction models in combination with a genetic algorithm and an extreme learning machine, and building a combined prediction model through two GA-ELM prediction models; S4, calculating an investment balance rate prediction value through the key influence factors and the combined prediction model so as to carry out intelligent analysis and control on a power grid infrastructure project. The design of the invention not only improves the precision and stability of investment balance prediction, but also improves the accuracy and rationality of investment balance analysis.

Description

Technical field [0001] The present invention relates to the field of power systems, in particular, to a grid infrastructure project investment balance control method and system. Background technique [0002] Existing grid infrastructure project cost analysis In the process of system data entry, there is an inconsistency between data granules, data missing, incomplete, etc., it is difficult to excavate information with potential value from accumulated large number of historical data. At present, State Grid Co., Ltd. is the price increase rate and cost analysis of the project. The quality of the sample data is not high, the error rate is large, the effective sample is small, and the analysis work is artificial, analyzed, calculated, and time consuming. Analysis of the conclusions, the value of the project data resources is not high, so that the forecasting accuracy of the investment balance is low, the stability is poor, so that the analysis accuracy of the investment balance level...

Claims

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Application Information

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IPC IPC(8): G06Q40/06G06Q50/06G06Q10/10G06N3/12G06K9/62
CPCG06Q40/06G06N3/126G06Q50/06G06Q10/103G06F18/2135G06F18/24323Y04S10/50
Inventor 马莉周蠡张雪霏贺兰菲熊川羽熊一王巍高晓晶李智威张赵阳王琪鑫陈然明月邹雨馨廖爽郭婷孙利平廖晓红柯方超周秋鹏唐学军周明
Owner ECONOMIC & TECH RES INST OF HUBEI ELECTRIC POWER COMPANY SGCC
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