Power grid state similarity quantitative analyzing method based on locality sensitive hashing

A technology of locally sensitive hashing and power grid status, applied in data processing applications, instruments, computing, etc.

Active Publication Date: 2014-01-22
STATE GRID CORP OF CHINA +2
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Compared with the Internet, there is no better big data retrieval method for power grid status information in the field of power system

Method used

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  • Power grid state similarity quantitative analyzing method based on locality sensitive hashing
  • Power grid state similarity quantitative analyzing method based on locality sensitive hashing
  • Power grid state similarity quantitative analyzing method based on locality sensitive hashing

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Embodiment Construction

[0028] In the following, the present invention will be further described in detail in combination with 24-hour state estimation result data of an actual power grid whose period is 5 minutes.

[0029] Such as figure 1 , the present invention provides a similar quantitative analysis method for power grid state based on local sensitive hashing, comprising the following steps:

[0030] Step 1: Read the state information of the power grid, count the key information of the power grid, and form the key information into a signature vector representing the state of the power grid;

[0031] For this embodiment, there are 273 generators, 2046 loads, and 451 lines in the power grid. The active power output of the generators, the active power output of the loads, and the active power at the head end of the line form a vector with a dimension of 2770 in turn.

[0032] Step 2: Calculate the angle between signature vectors;

[0033] According to the method of forming vectors in the previous...

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Abstract

The invention provides a power grid state similarity quantitative analyzing method based on locality sensitive hashing. The method comprises the following steps: power grid state information is read, power grid key information is counted, and key information is formed into signature vectors representing power grid states; angles among the signature vectors are computed; and power grid state similarity is judged. The method is applicable to the locality sensitive hashing (LSH in short) technology of an electrical power system. Power grid original state data are converted into the corresponding signature vectors, and the power grid states of corresponding moments are expressed via the signature vectors. On the aforementioned basis, computation of degree of similarity of the power grid states is realized by utilizing similarity of the signature vectors. Large data of power grid state information are converted into the signature vectors of small data so that analysis of overall data is avoided.

Description

technical field [0001] The invention belongs to the technical field of electric power dispatching automation, and in particular relates to a similar quantitative analysis method for power grid states based on local sensitive hashing. Background technique [0002] With the rapid development of China's economy in the past ten years, the scale of power system has become larger and larger, and the degree of automation has become higher and higher. What follows is the massive real-time status information of the power system brought to the field of dispatch automation. Although the massive amount of data has brought a wealth of required data to the analysis and control of various power grids, how to retrieve and classify the data of the power grid is an urgent problem that needs to be solved at present. [0003] Locality-sensitive hashing is a technique for mapping a large data object to a smaller hash value. With this method, when two data objects are approximate, their corresp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/06
Inventor 韩巍蒲天骄于汀王伟范征
Owner STATE GRID CORP OF CHINA
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