CN103325074B - Power system real-time data processing method - Google Patents
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Abstract
The invention discloses a kind of power system real-time data processing method, including: according to several default type of theme, the real time data in power system is classified；According to the described real time data of classification, generate the data file corresponding respectively to several type of theme described, and described data file is stored；Receive the data access request that data access request end sends；The data file of corresponding type of theme is back to described data access request end.The when that the present invention producing real-time data service requirements for access inside power system, it is not necessary to open data access interface specially, significantly reduce the access burden of Database Management System in Electrical Power System, enhance the stability of Operation of Electric Systems.The present invention substantially increases the power system enabling capabilities to real-time data access, is easily achieved simultaneously, reduces system development costs.
Description
Technical Field
The invention relates to the technical field of data processing of power systems, in particular to a real-time data processing method of a power system.
Background
With the gradual promotion of informatization of an electric power system and intellectualization of an electric network, particularly the test and popularization of projects such as on-line monitoring, metering automation and distribution network automation of electric transmission and transformation equipment, a large amount of real-time data can be generated together with data such as an electric network operation mode, gateway electric quantity, protection, thunder and lightning collected by a scheduling production control large area. Over time, this real-time data is saved as a huge amount of historical data. The massive real-time/historical data is the basis of intelligent construction of a power grid and is also the foundation of informatization of a power system.
In consideration of safety, the real-time/historical data of the power system cannot be directly shared and used, the adopted collection, processing, storage and access modes are not unified, the performance of the power system is gradually reduced, and the requirement of the whole service application of the power system cannot be met. Under such a background, it is urgently needed to establish a real-time data management platform to meet the requirements of storing, integrating, sharing and unifying and standard accessing real-time data by each business application.
At present, when a real-time data service requirement exists in an electric power system, a data access interface specially developed by the electric power system is needed to meet the access requirement of a data access request terminal, such as each service system, on real-time data. When large data volume access is generated, the performance of the power system is seriously affected. Moreover, a situation often exists in which different service systems need to access the database for multiple times when requesting the same real-time data, which greatly increases the access burden of the database of the power system and is not favorable for the stability of the operation of the power system.
Disclosure of Invention
Based on the method, the invention provides a real-time data processing method for the power system.
A real-time data processing method for a power system comprises the following steps:
classifying real-time data in the power system according to a plurality of preset theme types;
generating data files respectively corresponding to the plurality of theme types according to the classified real-time data, and storing the data files;
receiving a data access request sent by a data access request terminal; the data access request comprises a theme type of data to be accessed;
and returning the data file of the corresponding theme type to the data access request terminal.
Compared with the general technology, the real-time data processing method of the power system carries out relevant classification on the real-time data of the power system according to the subject type, the power system stores the real-time data of different subjects, and the data file of the corresponding subject type is returned to the data access request end according to the received data access request. When a real-time data service access requirement is generated in the power system, a special data access interface is not required to be opened, and particularly when large data volume access exists, multiple accesses of different service systems to the same real-time data request can be avoided, so that the access burden of a power system database is greatly reduced, and the running stability of the power system is enhanced. The invention greatly improves the supporting capability of the power system to the real-time data access, is easy to realize and reduces the system development cost.
Drawings
FIG. 1 is a schematic flow chart of a real-time data processing method for an electric power system according to the present invention;
FIG. 2 is a functional architecture diagram of an embodiment real-time data management platform;
FIG. 3 is a data architecture diagram of an embodiment real-time data management platform;
FIG. 4 is a schematic diagram of a service architecture of the real-time data management platform according to an embodiment.
Detailed Description
In order to further explain the technical means and effects of the present invention, the following description of the present invention with reference to the accompanying drawings and preferred embodiments will be made for clarity and completeness.
Fig. 1 is a schematic flow chart of a real-time data processing method of an electrical power system according to the present invention.
The invention discloses a real-time data processing method of a power system, which comprises the following steps:
s101, classifying real-time data in the power system according to a plurality of preset theme types;
s102, generating data files respectively corresponding to the plurality of theme types according to the classified real-time data, and storing the data files;
s103, receiving a data access request sent by a data access request terminal; the data access request comprises a theme type of data to be accessed;
s104, returning the data file of the corresponding theme type to the data access request terminal.
In step S101, as an embodiment, in the step of classifying the real-time data in the power system, the preset theme types include a plant station theme, a line theme, a feeder theme, a transformer theme, a special transformer theme, a distribution transformer theme, and/or a negative control theme.
The theme type can be set according to the actual situation, and the flexibility of applying the invention is increased.
As one embodiment, the step of classifying the real-time data in the power system includes the following steps:
and classifying the real-time data in the power system once every preset time length.
The preset time length can be one day, one week or one month and the like, and can be set according to the actual situation, so that the flexibility of applying the invention is increased. In addition, the real-time data of the power system can be reclassified regularly or irregularly according to the preset time length, so that the arrangement of the real-time data is facilitated, and the chaos and redundancy caused by long-time data accumulation are avoided.
As a preferred embodiment, the real-time data processing method of the power system can be used for establishing a real-time data management platform.
The embodiment is a powerful support platform for unified management of data resources and real-time data management, and is a place for storing, concentrating, integrating, sharing and analyzing real-time historical data formed by various business applications in a production and operation process, and simultaneously provides a standard unified access mode, in particular to an information infrastructure for providing technical support for cross-professional and cross-department comprehensive business applications on the real-time historical data level. The real-time data are collected by each business application in real time and can accurately reflect the current power production operation state, and the historical data are production data with time marks and continuously precipitated along with the lapse of time.
In step S102, as an embodiment, the step of storing the data file includes the following steps:
and storing the generated data file into a file server in the power system.
The data files can be stored in the file server, so that the power system can manage and store the internal files in a unified manner, and the efficiency is improved. And later inquiry and access are facilitated.
In the embodiment of the real-time data management platform, in order to achieve the above purpose, the following technical solutions are adopted:
the IEC standard-based mass real-time data management platform is divided into three layers from bottom to top: storage layer, processing layer, service layer.
Referring to fig. 2, fig. 2 is a functional architecture diagram of a real-time data management platform according to an embodiment.
A storage layer: the method mainly realizes the data storage function, is responsible for compression setting, compression processing and compression storage of data and dump on demand between a real-time/historical database and a relational database, and is also responsible for storage management of data such as alarm data, logs, configuration and the like.
Referring to fig. 3, fig. 3 is a schematic diagram of a data architecture of a real-time data management platform according to an embodiment.
The mass real-time data management platform data model based on the IEC standard mainly comprises a measuring point model, a configuration model and a power grid model; the storage carrier comprises a real-time/historical database and a relational database, and the real-time/historical database supports a cluster deployment mode.
The data of the IEC standard-based mass real-time data management platform comprise seven types of equipment static data, power grid operation data, electric quantity metering data, equipment state monitoring data, event data, environmental data, other data and the like, and form an organic whole which is related to each other.
The method comprises the following steps that a massive real-time data management platform based on IEC standard organizes real-time historical data in a measuring point model and a relation model mode, the real-time historical data need to have the functions of a real-time database and a historical database at the same time, the real-time historical data based on the measuring point model are stored in a cluster database, and the historical data based on the relation model are stored in a relation database; in addition, including model data, configuration data, etc., need to be stored in a relational database.
A real-time database of a mass real-time data management platform based on IEC standard adopts a cluster database, and the cluster database comprises a data storage access service and a cluster database server. By cluster deployment of the real-time database, the problems of insufficient capacity of a single database, continuous expansion of measuring points and the like are solved.
The storage carriers of clustered databases are mainly real-time/historical databases and relational databases.
The real-time historical database logically comprises a real-time database, a historical database and a measuring point database; the real-time database maintains real-time data, and the real-time data is the maximum measurement value (namely the current value) of the timestamp of each measurement point; the historical database maintains historical data, the historical data is generated after real-time data is continuously filed and deposited, and the real-time data and the historical data are stored in the real-time/historical database in a compression mode; the measuring point database maintains various information of all measuring points.
The relational database organizes data by using a relational model and processes the data by using a set theory and a relational algebra as theoretical bases, and a storage carrier of the data is a plurality of two-dimensional tables with relational relations. The relational model-based historical data, configuration data, and graph-model data are stored in a relational database.
In step S103, as one embodiment, in the step of receiving the data access request sent by the data access request terminal, the data access request terminal includes each service subsystem in the power system.
The data access request end is not limited to each service subsystem in the power system, and all local ends having access rights to the database of the power system can access the data files of the corresponding theme types through the data access method and the data access system, so that the utilization rate of real-time data of the power system can be realized to the maximum extent.
In the embodiment of the real-time data management platform, the processing layer is mainly responsible for data processing and data processing.
Data processing: the system is mainly responsible for integration and standardized standardization processing of access real-time data, meanwhile, the quality and the reasonability of the data are verified, an alarm is generated on unreasonable data and important change data, and in addition, the change of source service application historical data is synchronously processed to ensure the consistency between a real-time data platform and service application source data. The method specifically comprises modules of quality code processing, data checking, alarm events, multi-data source processing, synchronous processing and the like.
Data processing: the method is mainly used for secondary processing of source data, and more valuable information is generated on the platform according to specific requirements and is used for other business applications and analysis aid decision-making applications. The system specifically comprises a calculation rule base, a calculation engine, an analysis and statistics service module and the like.
In step S104, in the above embodiment of the real-time data management platform, the service layer mainly includes: data interfacing, management and support.
Referring to fig. 4, fig. 4 is a schematic diagram of a service architecture of a real-time data management platform according to an embodiment.
The data interface of the service layer provides data access and data access service for the outside. Real-time/historical data access is realized by various service applications through an interface machine, and real-time/historical data stored by the mass real-time data management platform based on the IEC standard is accessed by an external support tool through a standard and uniform access interface.
The data access method mainly adopts UAPI, and business application can directly write data into the real-time data platform by using UAPI, thereby completing the access of real-time/historical data.
Meanwhile, the support of the E format and the protocol is realized by adding an access server, and the access server is responsible for receiving the data of the E format or the protocol format, analyzing the data and finally calling the UAPI to realize the writing of the data to the real-time data service platform.
The data access mainly comprises two methods of UAPI and SQL data access.
Meanwhile, a CIS interface service layer is added to the mass real-time data management platform based on the IEC standard, and support for a CIS access interface is achieved. The CIS interface service layer and the IEC standard-based massive real-time data management platform realize specific real-time/historical data access through two methods, namely UAPI and SQL.
The service layer management function mainly comprises platform management and metadata management.
And the platform management is responsible for ensuring various management functions required by the normal operation of the mass real-time data management platform based on the IEC standard. The method specifically comprises the contents of cluster management, resource monitoring, authority management, configuration management, backup recovery, main-standby redundancy switching, migration expansion and the like.
And the metadata management is responsible for manual and automatic maintenance of real-time data measuring points and management and maintenance of real-time data models. The method specifically comprises the functions of global measuring point management, measuring point maintenance, real-time data model management and the like.
The service layer supporting function is mainly the supporting function of the related supporting tool.
The invention provides a method for evaluating storage space and network flow of a real-time database. And a corresponding technical means is provided for the construction of a mass real-time data management platform based on the IEC standard.
The storage space evaluation method is as follows:
assuming a certain real-time database product, the analog quantity of the real-time database product adopts Float (4 bytes), the state quantity of the real-time database product adopts Int (2 bytes), the timestamp of the real-time database product adopts 4 bytes, the quality code of the real-time database product adopts 1 byte, and a single event is calculated by taking the timestamp + the numerical value + the quality code as the storage requirement of the single event, so that the analog quantity storage occupies 9 bytes of space, and the state quantity occupies 7 bytes of storage space.
Taking 100,000 data measurement points as an example, the data measurement points comprise 40,000 analog quantity points, the frequency is 5 seconds/time, the frequency is 60,000 state quantity points, and the frequency is 300 seconds/time:
analog quantity: 40,000 × 86400 sec/day ÷ 5 sec/times × 9 bytes/times =5.8 GB/day
State quantity: 60,000 × 86400 sec/day ÷ 300 sec/times × 7 bytes/value =115.4 MB/day
The storage compression ratio of the analog quantity is assumed to be 20: 1, the storage compression ratio of the state quantity is assumed to be 40: 1, then:
analog quantity: 365 days/year × 5.8 GB/day ÷ 20=105.8 GB/year
State quantity: 365 days/year × 115.4 MB/day ÷ 40=1.03 GB/year
The space occupied by 1 year storage is about 106.83GB as calculated above.
The real-time data access is based on the network bandwidth required by the IEC standard massive real-time data management platform, and a weighted average method can be used for estimation. Factors that determine network bandwidth traffic include the number of points measured, the frequency of acquisition, and the size of the single data item.
A certain service system of an X province company is accessed to a massive real-time data management platform based on IEC standard, an analog measurement point is Ps, frequency is fs, a state measurement point is Pd, and frequency is fd. It is assumed that the analog quantity data items (8 bytes of timestamp, 4 bytes of value, 1 byte of quality code) of the real-time database product used occupy 13 bytes, and the state quantity data items (8 bytes of timestamp, 2 bytes of value, 1 byte of quality code) occupy 11 bytes. The service system accesses an average bandwidth calculation formula of the network occupied by the IEC standard-based massive real-time data management platform (the unit of the network bandwidth in the calculation formula is bps):
assuming that the application has 100,000 data points, 40,000 analog points, 5 seconds/time frequency, 60,000 state quantity points, and 300 seconds/time frequency, the substitution equation is as follows:
from this, the average network bandwidth can be calculated as: 4.9Mbps
The real-time data management platform has the advantages that:
establishing advanced, safe, efficient, expandable and highly available public service support platforms for accessing, storing, accessing and the like mass real-time data.
And establishing an efficient and reliable mass real-time data storage center.
The system is organically formed as a data resource management platform, an information transmission channel for converting real-time data into non-real-time data is established, and the value of the assistance data is increased. Complete assistant decision support can be provided through standard access services and various tools provided by the platform, comprehensive application of cross-professional and cross-department analysis assistant decision classes is supported, and specific business application is not realized through the platform.
Through the construction of a massive real-time data management platform based on the IEC standard, technical support is provided for comprehensively improving the lean management level.
A massive real-time data management and service standard system is established, and comprises management and application standards such as a data access standard, a data model standard, a data storage standard, a measuring point mapping standard, an access interface standard, a data exchange standard, a platform extension standard and a data safety standard.
Compared with the general technology, the real-time data processing method of the power system carries out relevant classification on the real-time data of the power system according to the subject type, the power system stores the real-time data of different subjects, and the data file of the corresponding subject type is returned to the data access request end according to the received data access request. When a real-time data service access requirement is generated in the power system, a special data access interface is not required to be opened, and particularly when large data volume access exists, multiple accesses of different service systems to the same real-time data request can be avoided, so that the access burden of a power system database is greatly reduced, and the running stability of the power system is enhanced. The invention greatly improves the supporting capability of the power system to the real-time data access, is easy to realize and reduces the system development cost.
And developing a unified real-time data access service which can meet the reading function of each business system on real-time data. Before service development, when a business system has a real-time data reading requirement each time, the system needs to specially develop a data access service for each business requirement to meet the access requirement of the business system on real-time data, and after the development of the uniform access service is completed, the system does not need to develop other data access services any more, so that the development amount of the system is reduced, and the expense of a data access interface of a client is reduced.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (4)
1. A real-time data processing method for an electric power system is characterized by comprising the following steps:
classifying real-time data in the power system according to a plurality of preset theme types;
generating data files respectively corresponding to the plurality of theme types according to the classified real-time data, and storing the generated data files into a file server in the power system;
receiving a data access request sent by a data access request terminal; the data access request comprises a theme type of data to be accessed;
returning the data files of the corresponding theme types to the data access request terminal, and establishing a real-time data management platform, wherein the real-time data management platform comprises a storage layer, a processing layer and a service layer;
wherein,
the storage layer is used for realizing the storage function of data, compression setting, compression processing and compression storage of the data, on-demand dump between the real-time/historical database and the relational database, and storage management of alarm data, logs and configuration data;
the processing layer is used for realizing data processing and data processing, the data processing comprises real-time data integration and standardized processing, meanwhile, the quality and the reasonability of the data are verified, an alarm is generated on unreasonable data and important changed data, and in addition, the change of source service application historical data is synchronously processed to ensure the consistency between a real-time data platform and service application source data; the data processing comprises secondary processing of source data, and information used by other business applications and analysis aid decision-making applications is generated on the platform according to specific requirements;
the service layer is used for realizing data interface, management and support; the service layer data interface provides data access and data access services to the outside, the service layer management functions comprise platform management and metadata management, the platform management is used for ensuring various management functions required by the normal operation of a massive real-time data management platform based on the IEC standard, the metadata management is used for manual and automatic maintenance of real-time data measuring points and management and maintenance of real-time data models, and the service layer support is used for realizing the support function of related support tools.
2. The method according to claim 1, wherein in the step of classifying the real-time data in the power system, the preset theme types include a plant theme, a line theme, a feeder theme, a transformer theme, a special change theme, a distribution change theme and/or a load control theme.
3. The power system real-time data processing method according to claim 1, wherein the step of classifying the real-time data in the power system comprises the steps of:
and classifying the real-time data in the power system once every preset time length.
4. The real-time data processing method for the power system according to claim 1, wherein in the step of receiving the data access request sent by the data access request terminal, the data access request terminal includes each service subsystem in the power system.
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| CN106330474A (en) * | 2015-06-15 | 2017-01-11 | 国核（北京）科学技术研究院有限公司 | Nuclear power plant reactor core monitoring and managing device and monitoring and managing method thereof |
| CN105278373A (en) * | 2015-10-16 | 2016-01-27 | 中国南方电网有限责任公司电网技术研究中心 | Method for realizing comprehensive information processing system of transformer substation |
| CN106527990B (en) * | 2016-11-09 | 2019-08-30 | 浪潮天元通信信息系统有限公司 | A kind of network management information processing server, method and system |
| CN106597225B (en) * | 2016-12-21 | 2019-07-12 | 安徽中鑫继远信息技术股份有限公司 | A kind of power distribution network on-line condition monitoring system and its on-line monitoring method |
| CN107908678A (en) * | 2017-10-27 | 2018-04-13 | 周燕红 | A kind of Real Time Data of Substation processing method, device, equipment and storage medium |
| CN108153837A (en) * | 2017-12-15 | 2018-06-12 | 北京航天测控技术有限公司 | A kind of real-time data acquisition and storage method and its system for EMU debugging |
| CN108183869B (en) * | 2017-12-29 | 2021-07-02 | 国电南瑞科技股份有限公司 | Electric quantity data acquisition system based on distributed message queue |
| CN108537407A (en) * | 2018-03-12 | 2018-09-14 | 广东电网有限责任公司中山供电局 | A kind of multisystem data integration processing system |
| US11266370B2 (en) * | 2020-01-28 | 2022-03-08 | GE Precision Healthcare LLC | Methods and systems for operating an electronic system |
| CN112596826B (en) * | 2020-12-01 | 2024-05-14 | 国网浙江省电力有限公司绍兴供电公司 | Power distribution network system graph model import optimization method and system |
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