CN116361524A - Power grid data processing method and system - Google Patents

Power grid data processing method and system Download PDF

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Publication number
CN116361524A
CN116361524A CN202310125711.0A CN202310125711A CN116361524A CN 116361524 A CN116361524 A CN 116361524A CN 202310125711 A CN202310125711 A CN 202310125711A CN 116361524 A CN116361524 A CN 116361524A
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grid data
power grid
processing
data
correlation
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Inventor
唐利涛
陈俊
周政雷
杨舟
张智勇
徐植
李刚
蒋雯倩
潘俊涛
李捷
李金谨
陈珏羽
王磊
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Guangxi Power Grid Co Ltd
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Guangxi Power Grid Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/904—Browsing; Visualisation therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/906—Clustering; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/60—Arrangements in telecontrol or telemetry systems for transmitting utility meters data, i.e. transmission of data from the reader of the utility meter
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/70—Arrangements in the main station, i.e. central controller
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2209/00—Arrangements in telecontrol or telemetry systems
    • H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention belongs to the field of electric power, and particularly relates to a power grid data processing method and a system, wherein the method comprises the steps of carding a service flow of acquired power grid data to obtain an ordered process; carrying out correlation processing and marking on the power grid data; combining the ordered process with the marked power grid data; the data processing application is configured to perform the collection and processing of grid data. The collected power grid data is subjected to service flow combing to obtain an ordered process, discrete data can be arranged according to the service flow related to electric power, so that the data is ordered, and analysis and application are facilitated; the correlation processing and marking are carried out on the power grid data, so that the relation between the data can be clarified, and the specific analysis and application are convenient; the sequential process and the marked power grid data are combined, so that the subsequent data processing can be improved; and a data processing application program is set to execute the collection and processing of the power grid data, so that the efficient collection and processing of the data can be realized.

Description

Power grid data processing method and system
Technical Field
The invention belongs to the field of electric power, and particularly relates to a power grid data processing method and system.
Background
The metering automation system integrates various advanced technologies, can collect and analyze the operation data of the power system, for example, a power company can collect data, calculate data and the like to develop a series of data monitoring, application, management and assessment requirements, and the data monitoring, application, management and assessment requirements face extremely high pressure along with the comprehensive access of new power.
The daily data acquisition index core service of the metering automation system supports work, and the important statistical services such as automatic meter reading rate, acquisition integrity rate, terminal online rate, electric quantity calculation, line loss calculation, load rate, terminal alarm and the like are all acquired based on the metering automation terminal. With the rapid development of information technology, core business is continuously updated in an iterative manner, the statistics and monitoring of core business data still exist in the existing metering automation system, so that when the business is abnormal, a business person cannot find problems in time or does not know how to process the problems after finding the problems, the overall correction degree cannot be obtained after the problems are processed, and the problems still cannot be solved after a large amount of labor is input.
Scattered data needs to be reasonably processed through big data to improve the management capability of an electric company.
Disclosure of Invention
In order to solve or improve the problems, the invention provides a power grid data processing method and system, and the specific technical scheme is as follows:
the invention provides a power grid data processing method, which comprises the following steps: carding the service flow of the collected power grid data to obtain an ordered process; carrying out correlation processing and marking on the power grid data; combining the ordered process with the marked grid data; a data processing application is set up to perform the collection and processing of the grid data.
Preferably, the correlation processing and marking of the grid data includes: processing the power grid data of different types or sources based on a product-difference correlation method to determine correlation coefficients between the different power grid data; and marking the corresponding power grid data according to at least one of the correlation coefficient, the type and the source.
Preferably, said combining said ordered process with said marked grid data comprises: setting a corresponding index system based on the ordered process; and classifying the power grid data into corresponding indexes in the index system according to the marks of the power grid data.
Preferably, the data processing application is configured to: the system has the functions of regularly collecting indexes, displaying historical index curve data, classifying, screening, displaying details and exporting; instant query, report monitoring, analysis and classification; classifying and displaying indexes; guiding business personnel to check and correct, and monitoring the trend of index correction.
Preferably, the grid data includes: online rate, coverage rate, meter reading rate and acquisition integrity rate.
The invention provides a power grid data processing system, comprising: the first module is used for carding the service flow of the acquired power grid data to obtain an ordered process; the second module is used for carrying out correlation processing and marking on the power grid data; a third module for combining the ordered process and the marked grid data; and the fourth module is used for setting a data processing application program to execute the collection and processing of the power grid data.
Preferably, the correlation processing and marking of the grid data includes: processing the power grid data of different types or sources based on a product-difference correlation method to determine correlation coefficients between the different power grid data; and marking the corresponding power grid data according to at least one of the correlation coefficient, the type and the source.
Preferably, said combining said ordered process with said marked grid data comprises: setting a corresponding index system based on the ordered process; and classifying the power grid data into corresponding fingers in the index system according to the marks of the power grid data.
Preferably, the data processing application is configured to: the system has the functions of regularly collecting indexes, displaying historical index curve data, classifying, screening, displaying details and exporting; instant query, report monitoring, analysis and classification; classifying and displaying indexes; guiding business personnel to check and correct, and monitoring the trend of index correction.
Preferably, the grid data includes: online rate, coverage rate, meter reading rate and acquisition integrity rate.
The beneficial effects of the invention are as follows: the collected power grid data is subjected to service flow combing to obtain an ordered process, discrete data can be arranged according to the service flow related to electric power, so that the data is ordered, and analysis and application are facilitated; the correlation processing and marking are carried out on the power grid data, so that the relation between the data can be clarified, and the specific analysis and application are convenient; by combining the ordered process with the marked power grid data, the subsequent data processing can be improved; and setting a data processing application program to execute the collection and processing of the power grid data, so that the efficient collection and processing of the data can be realized.
Drawings
FIG. 1 is a schematic illustration of a grid data processing method according to the present invention;
fig. 2 is a schematic diagram of a grid data processing system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In order to solve or improve the problems set forth in the background, the present invention provides a power grid data processing method as shown in fig. 1, including: s1, carding the acquired power grid data in a business process to obtain an ordered process; s2, carrying out correlation processing and marking on the power grid data; s3, combining the ordered process with the marked power grid data; and S4, setting a data processing application program to execute the collection and processing of the power grid data.
Examples
In order to optimize and solve the problem that the existing data are too scattered to be effectively utilized, the data value is realized by utilizing a big data statistical analysis method through data management, scattered data are changed into data with standard format and uniform structure through a series of standardized processes such as acquisition, transmission, storage and the like, a strict standard comprehensive management and control mechanism is formed, and the data are classified and analyzed to form a service monitoring report form and a service monitoring model with guiding significance. And the business decision processing is effectively simplified.
Step 1: and (5) combing the business process and planning the data resource. The process of the process is carried out by carrying out flow carding on cores such as the online rate, the coverage rate, the meter reading rate, the collection integrity rate and the like, and planning the process of changing the business from disorder to order. And convenience is provided for subsequent management and use. The final purpose of the data is to assist the business party in decision making, and the data is used as a bedding for inquiring, analyzing and monitoring. And carrying out instant query, establishment of an index system and a report system and business problem analysis by using the carded business flow data.
Step 2: the data is analyzed and calculated using a scientific calculation method.
1. Correlation analysis:
the correlation coefficient is a statistical index for reflecting the degree of closeness of the correlation between the variables. The correlation coefficient is calculated according to a product difference method, and the degree of correlation between two variables is reflected by multiplying the two dispersions on the basis of the dispersion of the two variables and the average value of the two variables. The correlation degree between indexes can be obtained through correlation analysis, such as: the trend of the index of the automatic meter reading rate rises, the line loss rate synchronously rises, and the topology rate of the file falls.
The analysis method is as follows:
Figure BDA0004082111370000051
.....
Figure BDA0004082111370000052
Figure BDA0004082111370000053
Figure BDA0004082111370000054
Figure BDA0004082111370000055
Figure BDA0004082111370000057
wherein x is i As the i-th observation of the index x,
Figure BDA0004082111370000058
is the mean value of index x, y i Is the i-th observation of index y, < ->
Figure BDA0004082111370000059
The mean value of the index y is obtained, the sample capacity is n, r is the correlation, and x=x day index result.
Is generally defined as: 0.8< r.ltoreq.1.0 is extremely strong correlation, 0.6< r.ltoreq.0.8 is strong correlation, 0.4< r.ltoreq.0.6 is medium correlation, 0.2< r.ltoreq.0.4 is weak correlation, 0.0.ltoreq.r.ltoreq.0.2 is extremely weak correlation or no correlation.
The correlation verification is carried out through the index types of each index corresponding to extremely strong correlation, medium degree correlation, weak correlation, extremely weak correlation and no correlation, so that the correlation degree of various indexes can be accurately obtained, and the service can comprehensively and timely master the index abnormal pain point.
The correlation verification is performed by means of analog data,
Figure BDA0004082111370000061
Figure BDA0004082111370000071
Figure BDA0004082111370000081
the following steps are obtained:
Figure BDA0004082111370000082
Figure BDA0004082111370000091
correspondingly, each assessment index associates with the analysis matrix:
Figure BDA0004082111370000092
Figure BDA0004082111370000101
Figure BDA0004082111370000102
Figure BDA0004082111370000111
finally, according to the correlation analysis matrix of each examination index, the correlation coefficient of x1 and x11 is 0.906, the correlation coefficient of x6 and x12 is 0.998, and the correlation coefficient of x15 and x29 is 0.925, which indicates that strong linear positive correlation exists between x1 and x11, between x6 and x12, and between x15 and x 29. (note: the presence of a strong linear correlation does not necessarily indicate that there is a relationship of interaction between the two indicators, but only that the linear trends are consistent between them, and specifically what is the indicator variable in practice), while there is a weak or no correlation between the remaining performance assessment indicators. (data is randomly generated, so most will be uncorrelated, but in practice there will be multiple index-by-index correlations, or moderate, strong correlations, between the indices).
Step 3: and forming an index report by combining the index system in the step 1 and the algorithm in the step 2, and developing an application program to perform various index calculations. The program has the function of regularly collecting indexes and the functions of displaying historical index curve data, classifying, screening, displaying details and exporting. The method can be used for inquiring and monitoring the report in real time, and can be used for intelligent analysis and classification. And the specification clearly carries out index classification and display. Effectively guiding business personnel to check and correct and monitor the trend of index correction.
The correlation processing and marking of the power grid data comprise the following steps: processing the power grid data of different types or sources based on a product-difference correlation method to determine correlation coefficients between the different power grid data; and marking the corresponding power grid data according to at least one of the correlation coefficient, the type and the source.
The combining the ordered process and the marked grid data includes: setting a corresponding index system based on the ordered process; and classifying the power grid data into corresponding indexes in the index system according to the marks of the power grid data.
The data processing application program is used for: the system has the functions of regularly collecting indexes, displaying historical index curve data, classifying, screening, displaying details and exporting; instant query, report monitoring, analysis and classification; classifying and displaying indexes; guiding business personnel to check and correct, and monitoring the trend of index correction.
The grid data includes: online rate, coverage rate, meter reading rate and acquisition integrity rate.
The present invention provides a grid data processing system as shown in fig. 2, comprising: the first module 1 is used for carding the acquired power grid data in a business process to obtain an ordered process; the second module 2 is used for carrying out correlation processing and marking on the power grid data; a third module 3 for combining the ordered process and the marked grid data; and a fourth module 4, configured to set a data processing application program to perform collection and processing of the grid data.
The correlation processing and marking of the power grid data comprise the following steps: processing the power grid data of different types or sources based on a product-difference correlation method to determine correlation coefficients between the different power grid data; and marking the corresponding power grid data according to at least one of the correlation coefficient, the type and the source.
The combining the ordered process and the marked grid data includes: setting a corresponding index system based on the ordered process; and classifying the power grid data into corresponding fingers in the index system according to the marks of the power grid data.
The data processing application program is used for: the system has the functions of regularly collecting indexes, displaying historical index curve data, classifying, screening, displaying details and exporting; instant query, report monitoring, analysis and classification; classifying and displaying indexes; guiding business personnel to check and correct, and monitoring the trend of index correction.
The grid data includes: online rate, coverage rate, meter reading rate and acquisition integrity rate.
Those of ordinary skill in the art will appreciate that the elements of the examples described in connection with the embodiments disclosed herein can be implemented as electronic hardware, computer software, or combinations of both, and that the elements of the examples have been described generally in terms of functionality in the foregoing description to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in this application, it should be understood that the division of units is merely a logic function division, and there may be other manners of division in practical implementation, for example, multiple units may be combined into one unit, one unit may be split into multiple units, or some features may be omitted.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (10)

1. A method for processing grid data, comprising:
carding the service flow of the collected power grid data to obtain an ordered process;
carrying out correlation processing and marking on the power grid data;
combining the ordered process with the marked grid data;
a data processing application is set up to perform the collection and processing of the grid data.
2. The method for processing the power grid data according to claim 1, wherein the step of performing correlation processing and marking on the power grid data comprises the steps of:
processing the power grid data of different types or sources based on a product-difference correlation method to determine correlation coefficients between the different power grid data;
and marking the corresponding power grid data according to at least one of the correlation coefficient, the type and the source.
3. The grid data processing method according to claim 2, wherein the combining the ordered process and the marked grid data comprises:
setting a corresponding index system based on the ordered process;
and classifying the power grid data into corresponding indexes in the index system according to the marks of the power grid data.
4. A method of grid data processing according to claim 3, wherein the data processing application is configured to:
the system has the functions of regularly collecting indexes, displaying historical index curve data, classifying, screening, displaying details and exporting;
instant query, report monitoring, analysis and classification;
classifying and displaying indexes;
guiding business personnel to check and correct, and monitoring the trend of index correction.
5. The grid data processing method of claim 4, wherein the grid data comprises:
online rate, coverage rate, meter reading rate and acquisition integrity rate.
6. A power grid data processing system, comprising:
the first module is used for carding the service flow of the acquired power grid data to obtain an ordered process;
the second module is used for carrying out correlation processing and marking on the power grid data;
a third module for combining the ordered process and the marked grid data;
and the fourth module is used for setting a data processing application program to execute the collection and processing of the power grid data.
7. The grid data processing system of claim 6, wherein said correlating and marking the grid data comprises:
processing the power grid data of different types or sources based on a product-difference correlation method to determine correlation coefficients between the different power grid data;
and marking the corresponding power grid data according to at least one of the correlation coefficient, the type and the source.
8. The grid data processing system of claim 7, wherein the combining the ordered process and the marked grid data comprises:
setting a corresponding index system based on the ordered process;
and classifying the power grid data into corresponding fingers in the index system according to the marks of the power grid data.
9. The grid data processing system of claim 8, wherein the data processing application is configured to:
the system has the functions of regularly collecting indexes, displaying historical index curve data, classifying, screening, displaying details and exporting;
instant query, report monitoring, analysis and classification;
classifying and displaying indexes;
guiding business personnel to check and correct, and monitoring the trend of index correction.
10. The grid data processing system of claim 9, wherein the grid data comprises:
online rate, coverage rate, meter reading rate and acquisition integrity rate.
CN202310125711.0A 2023-02-16 2023-02-16 Power grid data processing method and system Pending CN116361524A (en)

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