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Intelligent auxiliary analysis method for power grid planning based on big data

A technology for power grid planning and auxiliary analysis, applied in data processing applications, neural learning methods, structured data retrieval, etc. Improve efficiency and promote the effect of wide application

Pending Publication Date: 2021-02-23
STATE GRID HEBEI ELECTRIC POWER CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the rapid increase of the scale of the modern power grid, the structure of the power grid is becoming more and more complex, coupled with the large uncertainties of the planning work itself, involving many departments and a wide range of fields, the traditional power grid planning methods are new forms and new requirements can no longer meet modern requirements. Grid Planning Requirements

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  • Intelligent auxiliary analysis method for power grid planning based on big data
  • Intelligent auxiliary analysis method for power grid planning based on big data
  • Intelligent auxiliary analysis method for power grid planning based on big data

Examples

Experimental program
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Effect test

Embodiment 1

[0028]The purpose of this embodiment is to be further illustrated for the implementation and attention of the above technical solution, such asfigure 1details as follows:

[0029]A grid planning intelligent auxiliary analysis method based on big data, including the following steps:

[0030]Step 1. Select the multidimensional planning index and analyze the grid planning feature, access the real-time data of the grid operation and obtain data analysis model;

[0031]Step 2. Establish a neural network model and extract the planning feature elements, build a hybrid storage method for relational databases and non-relational databases;

[0032]Step 3. Adopt batch calculation, stream computing, memory calculation, query calculation, distributed calculation meets the calculation requirements of power grid planning business of different time-effective sections;

[0033]Step 4. Based on the grid planning business model data, through large data analysis modeling and model analysis, increase the support of la...

Embodiment 2

[0040]Based on the first embodiment, a further extension of a large data-based grid planning method is further extended, and the algorithm of neural network model in the process is further introduced, and the timeliness and effectiveness of the operation is guaranteed, and the specific process is as follows.figure 1Down:

[0041]A grid planning intelligent auxiliary analysis method based on big data, including the following steps:

[0042]Step 1. Select the multidimensional planning index and analyze the grid planning feature, access the real-time data of the grid operation and obtain data analysis model;

[0043]Step 2. Establish a neural network model and extract the planning feature elements, build a hybrid storage method for relational databases and non-relational databases;

[0044]Step 3. Adopt batch calculation, stream computing, memory calculation, query calculation, distributed calculation meets the calculation requirements of power grid planning business of different time-effective se...

Embodiment 3

[0082]On the basis of Example 2, a large data-based grid planning intelligent auxiliary analysis method is further extended, and the specific process is as follows.figure 1Down:

[0083]A grid planning intelligent auxiliary analysis method based on big data, including the following steps:

[0084]Step 1. Select the multidimensional planning index and analyze the grid planning feature, access the real-time data of the grid operation and obtain data analysis model;

[0085]Step 2. Establish a neural network model and extract the planning feature elements, build a hybrid storage method for relational databases and non-relational databases;

[0086]Step 3. Adopt batch calculation, stream computing, memory calculation, query calculation, distributed calculation meets the calculation requirements of power grid planning business of different time-effective sections;

[0087]Step 4. Based on the grid planning business model data, through large data analysis modeling and model analysis, increase the suppor...

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Abstract

The invention relates to the technical field of power grid informatization and dispatching automation. The invention discloses an intelligent auxiliary analysis method for power grid planning based onbig data. The method comprises the following steps: 1, selecting a multi-dimensional planning index, carrying out the analysis of power grid planning features, accessing the real-time data of a powergrid operation mode, and obtaining a data analysis model; 2, establishing a neural network model, extracting planning feature elements, and constructing a hybrid storage mode of a relational databaseand a non-relational database; 3, adopting batch calculation, flow calculation, memory calculation, query calculation and distributed calculation to meet power grid planning service calculation requirements of different timeliness and different scenes; 4, based on the power grid planning business model data, through big data analysis modeling and model analysis, increasing the support of big datadistributed calculation, and meeting the analysis and mining requirements of real-time and offline application of the power grid planning business; and 5, checking the statistical chart and displaying index distribution.

Description

Technical field[0001]The present invention relates to the field of informationization and scheduling automation technology, in particular, a grid planning intelligent auxiliary analysis method based on large data.Background technique[0002]With the comprehensive construction of smart grids and the rapid development and application of new generation IT technology, power data has grown sharply and form a certain scale. The application key of electricity data is not "big" and "data", and its core value is the core asset of power enterprises as the data regarding the property, so that the asset has created value. This requires the ability to adopt new acquisition, storage and processing technology to achieve cross-service, multi-type, real-time fast, flexible data related analysis, to meet the management and improvement of grid companies in power grid production, management, quality services, etc. Innovation needs.[0003]"Big Plan" as an important part of the "three episodes of the three ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/21G06N3/04G06N3/08
CPCG06Q10/06393G06Q10/0637G06Q50/06G06F16/21G06N3/084G06N3/045Y04S10/50
Inventor 窦玮张宁谷丰杨冲姚生杰李小平卢露朱森茂
Owner STATE GRID HEBEI ELECTRIC POWER CO LTD
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