CN110928855A - Method and system for establishing power grid measurement database - Google Patents
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Abstract
The invention provides a method and a system for establishing a power grid measurement database, wherein the method comprises the following steps: determining a multi-source measurement data index based on at least one grid measurement data dimension; wherein the at least one grid metrology data dimension comprises: a time dimension, a space dimension, an application dimension, an attribute dimension, and a physical dimension; performing data recombination on the power grid measurement data in the power grid measurement database based on the multi-source measurement data index; searching the input service demand in the power grid measurement database to obtain corresponding service demand data; wherein the service requirement comprises: a field value or field range corresponding to a specified dimension field in the multi-source metrology data index. According to the invention, the power grid measurement database is established, so that data can be retrieved at high speed from different dimensions of time, space, application and equipment, the requirements of different application scenes on differentiated data are met, and multi-source heterogeneous data can be accurately and quickly stored and accessed.
Description
Technical Field
The invention relates to the field of data access, in particular to a method and a system for establishing a power grid measurement database.
Background
With the rapid construction and development of smart grids, the power industry has stepped into the big data era. Under the background of intelligent power grid construction, a regulation and control center puts higher requirements on the intellectualization of power grid monitoring, a scheduling data bottom layer data model is objectively needed to be further improved, a power grid operation big data model suitable for big data analysis is established, and the power grid operation big data analysis based on monitoring data is supported, so that the power grid regulation and control operation analysis decision-making capability is improved.
The running state of the complex alternating current and direct current power grid is in a rapid dynamic change process, higher requirements are objectively put forward on-line analysis, and the data quality of the power grid is urgently required to be improved. The power grid data has the characteristics of large scale, various types, time delay difference, cross-service platform and the like. The multi-source measurement data of the dispatching system comprises power grid operation data, power grid fault signals and equipment monitoring signals based on an SCADA system, PMU data based on a WAMS system, fault recording data based on a fault recording management system and electric energy data based on an electric energy management system, so that the power grid measurement data required by various applications of the dispatching system comprises a large amount of redundancy and error information. Due to the problems of low quality, poor synchronism and the like of the power grid measurement data, the actual operation state of the power grid cannot be accurately mapped. Meanwhile, the power grid measurement data are of various types, and the heterogeneity of the acquisition system is large, so that the cross-system data matching degree is low, the relevance is poor, and the multi-scale information fusion analysis and the online application of various applications cannot be supported.
Therefore, there is a need to provide a solution to overcome the deficiencies of the prior art.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a method and a system for establishing a power grid measurement database. The technical scheme of the invention is as follows.
A method of building a grid metrics database, comprising: determining a multi-source measurement data index based on at least one grid measurement data dimension; wherein the at least one grid metrology data dimension comprises: a time dimension, a space dimension, an application dimension, an attribute dimension, and a physical dimension;
performing data recombination on the power grid measurement data in the power grid measurement database based on the multi-source measurement data index;
searching the input service demand in the power grid measurement database to obtain corresponding service demand data;
wherein the service requirement comprises: a field value or field range corresponding to a specified dimension field in the multi-source metrology data index.
Based on the power grid measurement data dimension, determining a multi-source measurement data index, comprising:
performing time correlation and space mapping on the power grid measurement data of the same power grid equipment in different power grid systems based on the time dimension and the space dimension;
marking the power grid measurement number subjected to time correlation and space mapping by using a global uniqueness identifier;
and determining the multi-source measurement data index based on the time characteristics, the space characteristics, the application characteristics, the attribute characteristics and the physical characteristics of the power grid measurement data corresponding to the global uniqueness identifier.
The physical dimension index includes: the system comprises a bus, an alternating current terminal, a generator, a transformer, a capacitor, a reactor, a current converter, a direct current circuit, a switch and a disconnecting link of the power grid equipment;
the attribute dimension index includes: active power of the power grid equipment,
Reactive power, three-phase voltage amplitude, three-phase voltage phase angle, three-phase current amplitude, three-phase current phase angle, remote signaling state and quality code;
the spatial dimension index includes: the area where the power grid equipment is located;
the applying the dimension index comprises: determining a data acquisition and monitoring control System (SCADA), a wide area phasor measurement System (WAMS) and a Fault Recording System (FRS) of the power grid measurement data;
the time dimension index includes: different time scales of the grid equipment.
The method further comprises the following steps: and retrieving data required for access from the power grid measurement database based on a preset strategy driving mode.
The preset strategy driving mode comprises the following steps: and (4) measuring point query: measuring data in preset time of the power grid equipment are obtained, time characteristics and attribute characteristics of multi-source measuring data indexes are determined, and corresponding business demand data are obtained according to the incidence relation of the measuring data;
section query: the method comprises the steps of obtaining measurement data of all power grid equipment in a specific area of a set time point, determining time characteristics and space characteristics of multi-source measurement data indexes, and combining and outputting corresponding service demand data according to the relevance of the measurement data.
A system for building a grid metrics database, comprising: the determining module is used for determining a multi-source measuring data index based on at least one power grid measuring data dimension; wherein the at least one grid metrology data dimension comprises: a time dimension, a space dimension, an application dimension, an attribute dimension, and a physical dimension;
the recombination module is used for carrying out data recombination on the power grid measurement data in the power grid measurement database based on the multi-source measurement data index;
the acquisition module is used for retrieving the input service requirements in the power grid measurement database and acquiring corresponding service requirement data;
wherein the service requirement comprises: a field value or field range corresponding to a specified dimension field in the multi-source metrology data index.
The determining module includes:
the association mapping unit is used for performing time association and space mapping on the power grid measurement data of the same power grid equipment in different power grid systems based on the time dimension and the space dimension;
the identification unit is used for identifying the power grid measurement number subjected to time correlation and space mapping by using the global uniqueness identifier;
and the determining unit is used for determining the multi-source measuring data index based on the time characteristic, the space characteristic, the application characteristic, the attribute characteristic and the physical characteristic of the power grid measuring data corresponding to the global uniqueness identifier.
The physical dimension index includes: the system comprises a bus, an alternating current terminal, a generator, a transformer, a capacitor, a reactor, a current converter, a direct current circuit, a switch and a disconnecting link of the power grid equipment;
the attribute dimension index includes: active power, reactive power, three-phase voltage amplitude, three-phase voltage phase angle, three-phase current amplitude, three-phase current phase angle, remote signaling state and quality code of the power grid equipment;
the spatial dimension index includes: the area where the power grid equipment is located;
the applying the dimension index comprises: determining a data acquisition and monitoring control System (SCADA), a wide area phasor measurement System (WAMS) and a Fault Recording System (FRS) of the power grid measurement data;
the time dimension index includes: different time scales of the grid equipment.
The system further comprises: and the retrieval module is used for retrieving and accessing the corresponding service demand data from the power grid measurement database based on a preset strategy driving mode.
The preset strategy driving mode comprises the following steps:
and (4) measuring point query: measuring data in a preset time of appointed power grid equipment are obtained, time characteristics and attribute characteristics of multi-source measuring data indexes are determined, and corresponding business demand data are obtained according to the incidence relation of the measuring data;
section query: the method comprises the steps of obtaining measurement data of all power grid equipment in a specific area of a set time point, determining time characteristics and space characteristics of multi-source measurement data indexes, and combining and outputting corresponding service demand data according to the relevance of the measurement data.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
according to the method for constructing the multi-dimensional index, the data are retrieved at high speed from different dimensions of time, space, application and equipment by establishing the power grid measurement database, the requirement of differentiated data of different application scenes is met, the multi-source heterogeneous data can be accurately and quickly stored and accessed, and the utilization rate of the power grid measurement data is improved, so that the quality of the power grid basic measurement data is improved, effective support is provided for accurate data analysis and evaluation of a power grid, the multi-source heterogeneous data can be quickly stored and accessed through the multi-dimensional index, all the measurement data of the same section or a plurality of section data of one measuring point can be called by each application of a scheduling system through the multi-dimensional index, and the utilization rate of the data is improved. In addition, the multidimensional index constructed by the invention has adaptability, secondary indexes can be defined according to business requirements, the storage and access speed of multi-source heterogeneous data is further increased, and the data retrieval efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of a dimension structure of a grid measurement data according to the present invention;
FIG. 2 is a schematic diagram of a multi-dimensional index structure of multi-source metrology data according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, the grid measurement data dimension of the present invention includes:
1) physical dimensions: a corresponding specific apparatus, comprising: the device comprises a bus, an alternating current terminal, a generator, a transformer, a capacitor, a reactor, a current converter, a direct current circuit, a switch and a disconnecting link.
2) Attribute dimension: for distinguishing the type of metrology data, comprising: active power, reactive power, three-phase voltage amplitude, three-phase voltage phase angle, three-phase current amplitude, three-phase current phase angle, remote signaling state and quality code.
3) And (3) space dimension: corresponding to the area where the equipment is located.
4) Application dimension: to clarify a data source, comprising: a data acquisition and monitoring control System (SCADA), a wide area phasor measurement System (WAMS), and a Fault Recording System (FRS).
5) And (3) time dimension: corresponding to different time scales of measurement.
6) The method comprises the steps of carrying out consistency description on measured data of the multi-dimensional power grid, associating data sets of the same data object with a data object ID with a global unique identifier, wherein the data object is power grid equipment, the power grid equipment is identified by the same ID in different systems, and all data of one data object are associated in time and space.
7) Establishing a multi-dimensional index of multi-source data of a power grid, which mainly comprises the following 5 parts:
① the physical characteristics represent data objects, measured in EnglishName indicates, and is written as Type ═ Tm1,2, …, M }, where T ismThe M-th physical characteristic is shown, and the total number of the M physical characteristics is M.
② the attribute features are mainly descriptions of the data objects themselves, denoted as Field ═ Fn1,2, …, N, where FnAnd representing the nth attribute feature, wherein the total number of the attribute features is N. The attribute characteristic values are separated by using a filling bit mode, and then are spliced into a character string as an index attribute characteristic part.
③ the spatial feature represents the location of the area where the multi-source metrology data object is located, and is denoted by KeyID ═ Kl1,2, …, L, where K islThe L spatial features are represented, and the total number is L spatial features. The area and the equipment serial number are included;
④ application features represent sources of multi-source metrology data, denoted as App { A }j1,2, …, J, wherein ajThe jth application feature is shown, and the total J application features are shown. The application characteristic value App is used as an application characteristic part of the multidimensional index, and comprises the following steps: SCADA, PMU, FRS;
⑤ the Time characteristic represents the generation Time of the multi-source measurement data, denoted as Time ═ Tk1,2, …, K, where T iskThe kth time characteristic is represented, and the green time is described according to the String character String form by K time characteristic values in total, so that the retrieval time can be effectively shortened;
the final generated multidimensional index is: app, Time, KeyID, Type, Field.
Fig. 2 is a schematic diagram of a multidimensional indexing architecture of the present invention, which recombines and stores power grid measurement data in each heterogeneous system according to a multidimensional indexing format. According to the data utilization scene, the required data can be quickly retrieved and accessed from the database in a strategy driving mode, the reorganization and storage are carried out because the data formats of each measurement are different, and the data formats are a CIME format and a CSV format.
The strategy driving mode of the invention mainly comprises the following two modes:
1) and (4) measuring point query: and acquiring related measurement data of the specified equipment within a period of time. And determining the time characteristic value and the attribute characteristic value of the multidimensional index, and acquiring target data according to the incidence relation of the measured data.
2) Section query: and acquiring related measurement data of all equipment in a specific area at a set time point. And determining the time characteristic value and the space characteristic value of the multidimensional index, and merging and outputting the target data according to the relevance of the measured data.
Further, under the SCADA application, all the LOAD measurement data at 16:32:56:020 are driven by a measuring point query strategy, the multidimensional index characteristic value App is determined as SCADA, Properties is determined as { LOAD, P _ Q }, namely, the multidimensional index and the corresponding target data are rapidly output, and the requirements of different application scenes on differentiated data are met.
Based on the method of the present invention, the present invention further includes a system for establishing a grid measurement database, including: the determining module is used for determining a multi-source measuring data index based on at least one power grid measuring data dimension; wherein the at least one grid metrology data dimension comprises: a time dimension, a space dimension, an application dimension, an attribute dimension, and a physical dimension;
the recombination module is used for carrying out data recombination on the power grid measurement data in the power grid measurement database based on the multi-source measurement data index;
the acquisition module is used for retrieving the input service requirements in the power grid measurement database and acquiring corresponding service requirement data;
wherein the service requirement comprises: a field value or field range corresponding to a specified dimension field in the multi-source metrology data index.
The determining module includes:
the association mapping unit is used for performing time association and space mapping on the power grid measurement data of the same power grid equipment in different power grid systems based on the time dimension and the space dimension;
the identification unit is used for identifying the power grid measurement number subjected to time correlation and space mapping by using the global uniqueness identifier;
and the determining unit is used for determining the multi-source measuring data index based on the time characteristic, the space characteristic, the application characteristic, the attribute characteristic and the physical characteristic of the power grid measuring data corresponding to the global uniqueness identifier.
The physical dimension index includes: the system comprises a bus, an alternating current terminal, a generator, a transformer, a capacitor, a reactor, a current converter, a direct current circuit, a switch and a disconnecting link of the power grid equipment;
the attribute dimension index includes: active power, reactive power, three-phase voltage amplitude, three-phase voltage phase angle, three-phase current amplitude, three-phase current phase angle, remote signaling state and quality code of the power grid equipment;
the spatial dimension index includes: the area where the power grid equipment is located;
the applying the dimension index comprises: determining a data acquisition and monitoring control System (SCADA), a wide area phasor measurement System (WAMS) and a Fault Recording System (FRS) of the power grid measurement data;
the time dimension index includes: different time scales of the grid equipment.
The system further comprises: and the retrieval module is used for retrieving and accessing the corresponding service demand data from the power grid measurement database based on a preset strategy driving mode.
The preset strategy driving mode comprises the following steps:
and (4) measuring point query: measuring data in a preset time of appointed power grid equipment are obtained, time characteristics and attribute characteristics of multi-source measuring data indexes are determined, and corresponding business demand data are obtained according to the incidence relation of the measuring data;
section query: the method comprises the steps of obtaining measurement data of all power grid equipment in a specific area of a set time point, determining time characteristics and space characteristics of multi-source measurement data indexes, and combining and outputting corresponding service demand data according to the relevance of the measurement data.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus.
Finally, it should be noted that: the above embodiments are only intended to illustrate the technical solution of the present invention and not to limit the same, and a person of ordinary skill in the art can make modifications or equivalents to the specific embodiments of the present invention with reference to the above embodiments, and such modifications or equivalents without departing from the spirit and scope of the present invention are within the scope of the claims of the present invention as set forth in the claims.
Claims (10)
1. A method of building a grid measurement database, comprising:
determining a multi-source measurement data index based on at least one grid measurement data dimension; wherein the at least one grid metrology data dimension comprises: a time dimension, a space dimension, an application dimension, an attribute dimension, and a physical dimension;
performing data recombination on the power grid measurement data in the power grid measurement database based on the multi-source measurement data index;
searching the input service demand in the power grid measurement database to obtain corresponding service demand data;
wherein the service requirement comprises: a field value or field range corresponding to a specified dimension field in the multi-source metrology data index.
2. The method of claim 1, wherein determining a multi-source metrology data index based on the grid metrology data dimension comprises:
performing time correlation and space mapping on the power grid measurement data of the same power grid equipment in different power grid systems based on the time dimension and the space dimension;
marking the power grid measurement number subjected to time correlation and space mapping by using a global uniqueness identifier;
and determining the multi-source measurement data index based on the time characteristics, the space characteristics, the application characteristics, the attribute characteristics and the physical characteristics of the power grid measurement data corresponding to the global uniqueness identifier.
3. The method of claim 2, wherein the physical dimension index comprises: the system comprises a bus, an alternating current terminal, a generator, a transformer, a capacitor, a reactor, a current converter, a direct current circuit, a switch and a disconnecting link of the power grid equipment;
the attribute dimension index includes: active power, reactive power, three-phase voltage amplitude, three-phase voltage phase angle, three-phase current amplitude, three-phase current phase angle, remote signaling state and quality code of the power grid equipment;
the spatial dimension index includes: the area where the power grid equipment is located;
the applying the dimension index comprises: a data acquisition and monitoring control system for determining the power grid measurement data,
A wide-area phasor measurement system and a fault recording system;
the time dimension index includes: different time scales of the grid equipment.
4. The method of claim 3, further comprising: and retrieving data required for access from the power grid measurement database based on a preset strategy driving mode.
5. The method of claim 4, wherein the predetermined policy-driven manner comprises:
and (4) measuring point query: measuring data in preset time of the power grid equipment are obtained, time characteristics and attribute characteristics of multi-source measuring data indexes are determined, and corresponding business demand data are obtained according to the incidence relation of the measuring data;
section query: the method comprises the steps of obtaining measurement data of all power grid equipment in a specific area of a set time point, determining time characteristics and space characteristics of multi-source measurement data indexes, and combining and outputting corresponding service demand data according to the relevance of the measurement data.
6. A system for building a grid metrics database, comprising:
the determining module is used for determining a multi-source measuring data index based on at least one power grid measuring data dimension; wherein the at least one grid metrology data dimension comprises: a time dimension, a space dimension, an application dimension, an attribute dimension, and a physical dimension;
the recombination module is used for carrying out data recombination on the power grid measurement data in the power grid measurement database based on the multi-source measurement data index;
the acquisition module is used for retrieving the input service requirements in the power grid measurement database and acquiring corresponding service requirement data;
wherein the service requirement comprises: a field value or field range corresponding to a specified dimension field in the multi-source metrology data index.
7. The system of claim 6, wherein the determining module comprises:
the association mapping unit is used for performing time association and space mapping on the power grid measurement data of the same power grid equipment in different power grid systems based on the time dimension and the space dimension;
the identification unit is used for identifying the power grid measurement number subjected to time correlation and space mapping by using the global uniqueness identifier;
and the determining unit is used for determining the multi-source measuring data index based on the time characteristic, the space characteristic, the application characteristic, the attribute characteristic and the physical characteristic of the power grid measuring data corresponding to the global uniqueness identifier.
8. The system of claim 7, wherein the physical dimension index comprises: the system comprises a bus, an alternating current terminal, a generator, a transformer, a capacitor, a reactor, a current converter, a direct current circuit, a switch and a disconnecting link of the power grid equipment;
the attribute dimension index includes: active power, reactive power, three-phase voltage amplitude, three-phase voltage phase angle, three-phase current amplitude, three-phase current phase angle, remote signaling state and quality code of the power grid equipment;
the spatial dimension index includes: the area where the power grid equipment is located;
the applying the dimension index comprises: determining a data acquisition and monitoring control system, a wide-area phasor measurement system and a fault recording system of the power grid measurement data;
the time dimension index includes: different time scales of the grid equipment.
9. The system of claim 8, further comprising: and the retrieval module is used for retrieving and accessing the corresponding service demand data from the power grid measurement database based on a preset strategy driving mode.
10. The system of claim 9, wherein the predetermined policy-driven manner comprises:
and (4) measuring point query: measuring data in a preset time of appointed power grid equipment are obtained, time characteristics and attribute characteristics of multi-source measuring data indexes are determined, and corresponding business demand data are obtained according to the incidence relation of the measuring data;
section query: the method comprises the steps of obtaining measurement data of all power grid equipment in a specific area of a set time point, determining time characteristics and space characteristics of multi-source measurement data indexes, and combining and outputting corresponding service demand data according to the relevance of the measurement data.
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