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A user load trend predicting method based on random index

A technology for electricity load and trend forecasting, applied in forecasting, data processing applications, instruments, etc., can solve problems that cannot meet the needs of power business development, and achieve accurate prediction of future load trends, refined management, and management effects

Inactive Publication Date: 2018-12-11
STATE GRID ZHEJIANG ELECTRIC POWER +2
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Problems solved by technology

At the same time, with the opening of the electricity sales side market leading to fierce competition, and the gradual increase in the requirements for lean management within the power industry, the previous extensive management can no longer meet the development needs of the power business under the new situation, and the power load It is related to the core business of various power departments such as production, dispatching, and marketing, and it is especially necessary to predict the trend of power consumption of large power customers to achieve refined management

Method used

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  • A user load trend predicting method based on random index
  • A user load trend predicting method based on random index
  • A user load trend predicting method based on random index

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Embodiment Construction

[0032] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] Such as figure 1 Shown, the present invention comprises the following steps:

[0034] 1) Obtain the maximum load, minimum load, and average load, and calculate the random index of load data;

[0035] 2) Calculate the immature random value of the day; set M days as a cycle, and calculate the immature random value RSV of the day according to the maximum load, minimum load and average load on the M day within a cycle 当日 ;

[0036]

[0037] In the formula, C m is the average load of the day; L m is the minimum load within M days; H m is the highest load in M ​​days; RSV 当日 The value range is between 0 and 100;

[0038] 3) Judging whether there is a K value of the previous day, and the value range of K is between 0 and 100; when there is a K value of the previous day, enter step 301) to calculate the K value; when there i...

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Abstract

The utility model relates to a user load trend predicting method based on random indexes, which relates to a user load trend predicting method. Previous extensive management can not meet the needs ofthe development of power business under the new situation, so predicting of the load trend of power customers is especially need to achieve refined management. The method comprises the following steps: obtaining the maximum load, the minimum load and the average load, and calculating the random index of the load data; calculating an immature random value RSV; calculating K value; calculating D value; calculating J value; forming a KDJ index, displaying a KDJ index curve and an average load curve through graphs, and predicting the load trend of power customers. The technical scheme displays themoving average line of users in a visual and graphic manner, intuitively reflects the future load trend through graphics, and realizes the judgment of the load fluctuation trend of large electric power customers; Predicting the future load trend is accurate and intuitive, and meticulous management is realized.

Description

technical field [0001] The invention relates to a method for predicting the trend of user electricity load, in particular to a method for predicting the trend of user electricity load based on random indicators. Background technique [0002] With the construction of a new generation of intelligent power systems in full swing, the rapid development of smart grids has enabled information and communication technologies to rapidly integrate with grid production and enterprise management in an unprecedented breadth and depth. Information and communication systems have become the "central nerve" of smart grids , to support the development of a new generation of power grid production and management. At the same time, with the opening of the electricity sales side market leading to fierce competition, and the gradual increase in the requirements for lean management within the power industry, the previous extensive management can no longer meet the development needs of the power busi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 吴国诚王伟峰俞成彪胡若云侯素颖孔历波韩力孙国恩芦明德
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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