CN108108517A - A kind of Electric Power Network Planning intelligence aided analysis method based on big data - Google Patents
A kind of Electric Power Network Planning intelligence aided analysis method based on big data Download PDFInfo
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- CN108108517A CN108108517A CN201711185445.1A CN201711185445A CN108108517A CN 108108517 A CN108108517 A CN 108108517A CN 201711185445 A CN201711185445 A CN 201711185445A CN 108108517 A CN108108517 A CN 108108517A
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Abstract
The invention belongs to electric network information and dispatching automation technical fields, disclose a kind of Electric Power Network Planning intelligence aided analysis method based on big data.The present invention for existing Electric Power Network Planning Math data platform construction achievement on, the construction of Electric Power Network Planning Computer Aided Analysis System is studied with big data technology and method, improve systems organization business datum integrate, calculate, analysis, using etc. abilities.The present invention is obtained by comprehensive data source, with reference to high performance data process＆analysis, intelligent means are provided for Electric Power Network Planning practical application, improve the efficiency of Electric Power Network Planning, certain auxiliary reference foundation is provided for Electric Power Network Planning department, the extensive use to promote electric power big data provides theory support and probe into new direction.
Description
Technical field
The invention belongs to electric network information and dispatching automation technical fields, are specifically related to a kind of electricity based on big data
Network planning draws intelligent aided analysis method.
Background technology
As the fast development of a new generation such as the all-round construction of intelligent grid and big data IT technologies and application, electric power are big
The sharp increase of data simultaneously forms certain scale.And the key application of electric power big data is not " big " and " data ", core
Value is that data are regarded as the same electric power enterprise core asset of person property, and assets is allowed to create value.This requires can use
New acquisition, storage and processing technology, realize trans-sectoral business, polymorphic type, real-time, the data relation analysis of flexible customization, expire
Sufficient grid company is in the managerial promotion of power grid production, management, good service etc. and the demand of business innovation.
The important component of " huge construction program " as " the three five big systems of collection " of Guo Wang companies, Electric Power Network Planning is power industry
Development and the primary link built.As modern power network scale quickly becomes larger, electric network composition is increasingly complicated, in addition planning sheet
The uncertain factor of body is big, is related to that department is more, field is wide, and it is under new model, new demand to cause traditional Electric power network planning method
Have been unable to meet the planning demand of modern power network.Therefore, it is necessary to make full use of electric power big data under the leading of big data tide
Key technology and idea of development are to establish the research of information-based, intelligentized power grid aid decision planning system, so as to be power grid
The construction of planning system provides reference and the direction explored.
The content of the invention
The present invention seeks to：In order to improve Electric Power Network Planning business datum integrate, calculate, analysis, using etc. abilities, provide
A kind of Electric Power Network Planning intelligence aided analysis method based on big data.This method can provide intelligence for Electric Power Network Planning practical application
Change means improve the efficiency of Electric Power Network Planning, and certain auxiliary reference foundation is provided for Electric Power Network Planning department.
Specifically, realization that the present invention adopts the following technical solutions, comprise the following steps：
Step 1：Operation of power networks real time data is accessed by Distributed Message Queue, full dose or increment are carried out to relational database
The extraction of data obtains grid model data；
Step 2：Non-relational database is introduced in conventional Electric Power Network Planning system, is realized using non-relational database to electricity
The quick storage of the metric data of network operation and reading, and grid equipment model data is stored with conventional relationship, structure is formed
The mixing storage mode of relational database, non-relational database；
Step 3：Using batch calculating, stream calculation, memory calculates, inquiry calculates, Distributed Calculation meets different timeliness differences
The Electric Power Network Planning business of scene calculates demand；
Step 4：Based on Electric Power Network Planning business model data, by big data analysis modeling and model analyzing, increase big data point
The support that cloth calculates meets the analysis mining demand that Electric Power Network Planning business is real-time, applies offline.
Step 5：It checks statistical graph, shows index distribution according to the classification of planning business, time and model dimension；Check finger
It indicates carefully, classification displaying is carried out from historical data trend, load prediction.
Above-mentioned technical proposal is further characterized by, in the step 1, using Sqoop+Kettle to relational database
Carry out the extraction of full dose or incremental data.
Beneficial effects of the present invention are as follows：The present invention is directed to the construction achievement of existing Electric Power Network Planning Math data platform
On, the construction of Electric Power Network Planning Computer Aided Analysis System is studied with big data technology and method, improves systems organization industry
Be engaged in Data Integration, calculating, analysis, using etc. abilities.It is obtained by comprehensive data source, with reference to high performance data processing with dividing
Analysis, provides intelligent means for Electric Power Network Planning practical application, improves the efficiency of Electric Power Network Planning, provided centainly for Electric Power Network Planning department
Auxiliary reference foundation, for promote electric power big data extensive use provide theory support and probe into new direction.
Description of the drawings
Fig. 1 is the schematic diagram of the method for the present invention.
Specific embodiment
With reference to embodiment and the present invention is described in further detail referring to the drawings.
Embodiment 1：
One embodiment of the present of invention mainly according to the characteristics of power grid big data and requirement that Electric Power Network Planning is new, utilizes big number
According to technology, various forms of data acquisitions are accessed, relevant database, non-relational database, data real time propelling movement are provided
Multi-source data unities are waited, by building relevant database, non-relational database, distributed file system etc., support magnanimity
Isomeric data storage demand is calculated using high amount of traffic, calculated in batches, memory computing technique, provides the data of Multiple Time Scales
Calculating processing ability carries out analysis mining and displaying to mass data.It is most of to be related to following six：Data Integration, data storage,
Data calculating, data analysis, public service, service application.
1）Data Integration
Traditional Data Integration mainly includes real-time data acquisition, relational database ETL extractions, synchronization, file upload etc..This reality
Example is applied by Distributed Message Queue kafka access real-times, full dose is carried out to relational database using Sqoop+Kettle
Or the extraction of incremental data, such as model information realize that file uploads, and substantially increases data access by modes such as FTP
Stability and data transmission reliability.
2）Data store
It is stored using relational data, the data storage method of the mixing such as non-relational data storage, relational database mainly uses
In storage grid equipment model archive information, non-relational database storage operation of power networks real-time data collection（Mainly use HDFS+
HBas）, while uniform memory access interface, the ability extending transversely for improving data storage low cost, raising are in high concurrent condition
Under fast data access responding ability, meet mass data in real time with quasi real time storage demand.
3）Data calculate
Method of service is calculated by data such as batch calculating, stream calculation, memory calculating, inquiry calculating, meets different timeliness not
Electric Power Network Planning business with scene calculates demand.Batch calculates the off-line analysis for supporting high-volume data, such as historical data report
Analysis；Stream calculation supports processing, such as real time data processing in real time；Memory, which calculates, supports Interaction Analysis, as electricity consumption data exists
Line statistics etc..Mainly using the technologies such as Spark streaming, Spark, Mapreduce.
4）Data analysis
Data analysis increases the support of big data Distributed Calculation, meets real by improving the abilities such as analysis modeling, model analyzing
When, the analysis mining demand applied offline.
5）Public service
Unified Public service center is constructed, unified sealed storage service calculates service, Analysis Service, shows service etc. respectively
External service door is realized in class service, and conveniently unified agent clothes are provided for follow-up business application memory, calculating, analysis
Business.
6）Service application：
It is ground based on services, the applications for carrying out the Electric Power Network Planning business based on big data such as big data calculating, analysis, displaying, storages
Study carefully, such as the analysis of network load specificity analysis, customer charge specificity analysis, new energy power producing characteristics is related to Electric Power Network Planning business
Service application.
The specific implementation step of the present embodiment is as shown in Figure 1.
Step 1：Data access.
Operation of power networks real time data is accessed by Distributed Message Queue kafka, using Sqoop+Kettle to relation number
The extraction that full dose or incremental data are carried out according to storehouse obtains grid model data.
Step 2：Data Integration.
Non-relational database is introduced in conventional Electric Power Network Planning system（HDFS+HBas）, utilize non-relational data
The advantage of the fast reading and writing metric data in storehouse, to realize to the fast of the metric data such as the telemetering, remote signalling, protection signal of operation of power networks
Speed storage and reading, and grid equipment model data is stored with conventional relationship, structure forms relational database, non-relation data
The mixing storage mode in storehouse.
Step 3：Data calculate.
Method of service is calculated by data such as batch calculating, stream calculation, memory calculating, inquiry calculating, Distributed Calculations, it is full
The Electric Power Network Planning business of foot difference timeliness different scenes calculates demand.
Step 4：Data analysis.
Based on Electric Power Network Planning business model data, modeled by big data analysis, the abilities such as model analyzing, increase big data
The support of Distributed Calculation meets the analysis mining demand that Electric Power Network Planning business is real-time, applies offline.
Step 5：Data display.
It checks statistical graph, shows index distribution according to the classification of planning business, time and model dimension；Check that index is bright
Carefully, angularly classify displaying from historical data trend, load prediction.
Although the present invention has been described by way of example and in terms of the preferred embodiments, embodiment is not for limiting the present invention's.Not
In the spirit and scope for departing from the present invention, any equivalence changes done or retouching also belong to the protection domain of the present invention.Cause
This protection scope of the present invention should be using the content that claims hereof is defined as standard.
Claims (2)
1. a kind of Electric Power Network Planning intelligence aided analysis method based on big data, it is characterised in that：Comprise the following steps：
Step 1：Operation of power networks real time data is accessed by Distributed Message Queue, full dose or increment are carried out to relational database
The extraction of data obtains grid model data；
Step 2：Non-relational database is introduced in conventional Electric Power Network Planning system, is realized using non-relational database to electricity
The quick storage of the metric data of network operation and reading, and grid equipment model data is stored with conventional relationship, structure is formed
The mixing storage mode of relational database, non-relational database；
Step 3：Using batch calculating, stream calculation, memory calculates, inquiry calculates, Distributed Calculation meets different timeliness differences
The Electric Power Network Planning business of scene calculates demand；
Step 4：Based on Electric Power Network Planning business model data, by big data analysis modeling and model analyzing, increase big data point
The support that cloth calculates meets the analysis mining demand that Electric Power Network Planning business is real-time, applies offline；
Step 5：It checks statistical graph, shows index distribution according to the classification of planning business, time and model dimension；Check that index is bright
Carefully, classification displaying is carried out from historical data trend, load prediction.
2. the Electric Power Network Planning intelligence aided analysis method according to claim 1 based on big data, which is characterized in that described
In step 1, the extraction of full dose or incremental data is carried out to relational database using Sqoop+Kettle.
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| CN108876154A (en) * | 2018-06-22 | 2018-11-23 | 国网辽宁省电力有限公司朝阳供电公司 | A kind of Electric Power Network Planning big data analysis system |
| CN108920810A (en) * | 2018-06-28 | 2018-11-30 | 南方电网科学研究院有限责任公司 | Electric analog method based on big data framework |
| CN109408548A (en) * | 2018-09-19 | 2019-03-01 | 中国电力科学研究院有限公司 | A kind of urban electric power big data application system and method |
| CN109408602A (en) * | 2018-10-16 | 2019-03-01 | 深圳中顺易金融服务有限公司 | A kind of big data integrated conduct method and system |
| CN109657959A (en) * | 2018-12-12 | 2019-04-19 | 国家电网有限公司 | A kind of distribution network planning calculation and analysis methods containing multivariate data |
| CN109873495A (en) * | 2018-11-07 | 2019-06-11 | 国网浙江安吉县供电有限公司 | A kind of power scheduling display systems and method based on big data analysis |
| CN110059138A (en) * | 2019-03-12 | 2019-07-26 | 国网辽宁省电力有限公司信息通信分公司 | One kind being based on big data platform data analysis domain architecting method |
| CN112396294A (en) * | 2020-10-29 | 2021-02-23 | 国网河北省电力有限公司无极县供电分公司 | Power grid planning intelligent auxiliary analysis method based on big data |
| CN117270791A (en) * | 2023-11-20 | 2023-12-22 | 国宁睿能绿色能源科技有限公司 | Power data analysis method and system |
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| CN108876154A (en) * | 2018-06-22 | 2018-11-23 | 国网辽宁省电力有限公司朝阳供电公司 | A kind of Electric Power Network Planning big data analysis system |
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| CN109408548A (en) * | 2018-09-19 | 2019-03-01 | 中国电力科学研究院有限公司 | A kind of urban electric power big data application system and method |
| CN109408602A (en) * | 2018-10-16 | 2019-03-01 | 深圳中顺易金融服务有限公司 | A kind of big data integrated conduct method and system |
| CN109873495A (en) * | 2018-11-07 | 2019-06-11 | 国网浙江安吉县供电有限公司 | A kind of power scheduling display systems and method based on big data analysis |
| CN109657959A (en) * | 2018-12-12 | 2019-04-19 | 国家电网有限公司 | A kind of distribution network planning calculation and analysis methods containing multivariate data |
| CN110059138A (en) * | 2019-03-12 | 2019-07-26 | 国网辽宁省电力有限公司信息通信分公司 | One kind being based on big data platform data analysis domain architecting method |
| CN112396294A (en) * | 2020-10-29 | 2021-02-23 | 国网河北省电力有限公司无极县供电分公司 | Power grid planning intelligent auxiliary analysis method based on big data |
| CN117270791A (en) * | 2023-11-20 | 2023-12-22 | 国宁睿能绿色能源科技有限公司 | Power data analysis method and system |
| CN117270791B (en) * | 2023-11-20 | 2024-04-09 | 国宁睿能绿色能源科技有限公司 | Power data analysis method and system |
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Application publication date: 20180601 |