CN113033996A - Electric power system information processing system based on electric power big data - Google Patents
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Abstract
The invention discloses an electric power system information processing system based on electric power big data, which comprises a big data processing platform, wherein the data input end of the big data processing platform is connected with an electric power equipment monitoring module, an environmental data monitoring module, an electric power personnel management module and a user demand acquisition module, the data output end of the big data processing platform is connected with a remote information management center, and the big data processing platform is used for acquiring and summarizing various electric power data in an electric power system, calculating and analyzing the various electric power data, mining data information and feeding back the data information to the remote information management center. According to the invention, various electric power data in the electric power system are collected and summarized through the big data processing platform, calculation analysis is carried out on the various electric power data, data information is mined, the data information is fed back to the remote information management center and is butted with an electric power company, and power grid monitoring data are transmitted in time and power grid personnel are arranged to adjust the electric power system.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a power system information processing system based on power big data.
Background
The big data of electric power is a revolution, which not only changes the development of power grids and manufacturers, but also changes the future operation mode of an electric power system. Many believe that the primary role of big data is to help power vendors learn about enterprise trends more accurately. In fact, big data serves far more than this, and will largely influence the decisions and solutions of the power industry. In addition, the demand of the power industry for big data greatly surpasses other basic energy industries.
According to the Chinese white paper for the development of big data of electric power, firstly, in the electric power production link, the large access of new energy resources such as wind, light and storage and the like breaks through the traditional relatively static electric power production, so that the measurement and management of the electric power production become increasingly complex.
For example, the information contained in the big data can make better prediction for power generation and power grid enterprises, and specific data such as the influence of each rise of air temperature on power demand, the accuracy of electricity utilization peak time to minutes and the like can be obtained through big data analysis.
The electric power system is an electric energy production and consumption system which consists of links such as power generation, power transformation, power transmission, power distribution, power utilization and the like. The system has the function of converting primary energy in the nature into electric energy through a power generation power device (mainly comprising a boiler, a steam turbine, a generator, a power plant auxiliary production system and the like), and then supplying the electric energy to each load center through a power transmission system, a power transformation system and a power distribution system.
Because the power supply point and the load center are mostly in different areas and cannot be stored in large quantities, the electric energy production must be constantly kept in balance with consumption. Therefore, the centralized development and the distributed use of the electric energy, as well as the continuous supply of the electric energy and the random variation of the load, restrict the structure and the operation of the electric power system.
With the comprehensive promotion of ultrahigh voltage power grid construction, new energy centralized access and electric power market reform in China, new situations and challenges are faced in power grid regulation and control operation, the service range of the intelligent power grid dispatching control system is rapidly expanded, the data sources are increased, the data types are various, the data scale is rapidly increased, and the big data characteristic of the regulation and control system data is increasingly obvious. Big data in the field of power grid regulation and control not only has the characteristics of high speed, multiple types and large quantity, but also is compact in association and strong in instantaneity.
The electric energy production and consumption system is composed of links of power generation, power transformation, power transmission, power distribution, power utilization and the like. The energy conversion device has the functions of converting primary energy in the nature into electric energy through a power generation power device (mainly comprising a boiler, a steam turbine, a generator, a power plant auxiliary production system and the like), supplying the electric energy to each load center through a power transmission system, a power transformation system and a power distribution system, and converting the electric energy into energy in different forms of power, heat, light and the like through various devices, thereby serving regional economy and people life.
Because the power supply points and the load centers are mostly in different regions and cannot be stored in large quantities, the production, the transportation, the distribution and the consumption of the power supply points and the load centers are all finished in the same time and organically form a whole in the same region, and the electric energy production must be constantly kept in balance with the consumption. Therefore, the centralized development and the distributed use of the electric energy, as well as the continuous supply of the electric energy and the random variation of the load, restrict the structure and the operation of the electric power system.
Accordingly, in order to realize the functions of the power system, corresponding information and control systems need to be arranged in each link and different levels so as to measure, adjust, control, protect, communicate and dispatch the production and transportation processes of the electric energy, and ensure that users obtain safe, economic and high-quality electric energy.
Therefore, the big data technology in the IT industry cannot be directly applied to the field of power grid regulation, the research on the big data acquisition supporting technology based on the cloud platform needs to be developed urgently, the application of the big data technology to the regulation and control business of the smart power grid is promoted, the application requirements of various businesses in the regulation and control system I, II and III on the big data are supported, the data service capability of the power grid dispatching control system is improved, and the technical supporting level of the power grid operation is further improved.
Therefore, in view of the above situation, there is an urgent need to develop an electric power system information processing system based on electric power big data to overcome the shortcomings in the current practical application.
Disclosure of Invention
The present invention is directed to a power system information processing system based on power big data, so as to solve the problems mentioned in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a power system information processing system based on power big data comprises a big data processing platform, wherein a data input end of the big data processing platform is connected with a power equipment monitoring module, an environmental data monitoring module, a power personnel management module and a user demand acquisition module, and a data output end of the big data processing platform is connected with a remote information management center;
the big data processing platform is used for collecting and summarizing various electric power data in the electric power system, calculating and analyzing the various electric power data, mining data information and feeding back the data information to the remote information management center.
As a further scheme of the invention: the big data processing platform comprises a data receiving unit, a data type identification unit, a data mining unit, a big data analysis unit and a data visualization unit, wherein the data receiving unit, the data type identification unit and the data mining unit are sequentially connected.
As a further scheme of the invention: the data mining unit is respectively connected with the big data analysis unit and the data visualization unit.
As a further scheme of the invention: the data type identification unit is used for identifying the data types of various acquired data and converting the data types into uniform data types, so that subsequent data processing is facilitated, the data mining unit is used for analyzing a large amount of acquired data and searching the power grid rule from the large amount of data, and the big data analysis unit and the data visualization unit are used for analyzing the reason of the power grid rule generation, providing a power distribution scheme for reasonably applying the power grid rule and visually displaying the power distribution scheme through the data visualization unit.
As a further scheme of the invention: the power equipment monitoring module comprises an equipment current detection unit, an equipment voltage detection unit, a power factor calculation unit, a power consumption duration recording unit and a power consumption recording unit.
As a further scheme of the invention: the equipment current detection unit and the equipment voltage detection unit are both connected with the power factor calculation unit, and the power factor calculation unit and the electricity consumption duration recording unit are both connected with the electricity consumption recording unit.
As a further scheme of the invention: the big data processing platform is further connected with the power company docking module through the user feedback module respectively, the user feedback module is used for receiving feedback suggestions of power grid users on power grid operation and assisting power grid workers in adjusting power grid frameworks and equipment in time, and the power company docking module is used for docking power companies, transmitting power grid monitoring data in time and arranging the power grid workers to adjust a power system.
As a further scheme of the invention: the remote information management center is connected with the cloud database and the mobile terminal respectively.
As a further scheme of the invention: the cloud database is used for storing and backing up various acquired electric power data and power grid operation data, and the mobile terminal is used for receiving the information data sent by the remote information management center and carrying out remote control command.
As a further scheme of the invention: the remote information management center comprises a data receiving unit, a data operation end, a display end and an overhaul scheduling unit, wherein the data receiving unit, the data operation end, the display end and the overhaul scheduling unit are sequentially connected.
Compared with the prior art, the invention has the beneficial effects that:
1. the data input end of the big data processing platform is connected with the power equipment monitoring module, the environmental data monitoring module, the power personnel management module and the user demand acquisition module, and the data output end of the big data processing platform is connected with the remote information management center;
2. the method comprises the steps of collecting and summarizing various electric power data in an electric power system through a big data processing platform, calculating and analyzing the various electric power data, mining data information, feeding back the data information to a remote information management center, butting the data information with an electric power company, transmitting power grid monitoring data in time and arranging power grid personnel to adjust the electric power system.
Drawings
Fig. 1 is a block diagram of a power system information processing system based on power big data.
Fig. 2 is a block diagram of a big data processing platform in an electric power system information processing system based on electric power big data.
Fig. 3 is a block diagram of a power equipment monitoring module in a power system information processing system based on power big data.
Fig. 4 is a block diagram of a remote information management center in an electric power system information processing system based on electric power big data.
In the figure: 1-a big data processing platform, 11-a data receiving unit, 12-a data type identification unit, 13-a data mining unit, 14-a big data analysis unit and 15-a data visualization unit;
2-electric power equipment monitoring module, 21-equipment current detection unit, 22-equipment voltage detection unit, 23-power factor calculation unit, 24-electricity consumption duration recording unit and 25-electricity consumption recording unit;
3-an environmental data monitoring module;
4-electric power personnel management module;
5-a user demand acquisition module;
6-a remote information management center, 61-a data receiving end, 62-a data operating end, 63-a display end and 64-a maintenance scheduling unit;
7-cloud database;
8-a mobile terminal;
9-a user feedback module;
10-electric company docking module.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
Example 1
Referring to fig. 1 to 3, in the embodiment of the present invention, an electric power system information processing system based on electric power big data includes a big data processing platform 1, a data input end of the big data processing platform 1 is connected to an electric power equipment monitoring module 2, an environmental data monitoring module 3, an electric power personnel management module 4 and a user demand acquisition module 5, and a data output end of the big data processing platform 1 is connected to a remote information management center 6;
the big data processing platform 1 is used for collecting and summarizing various electric power data in the electric power system, calculating and analyzing the various electric power data, mining data information and feeding the data information back to the remote information management center 6;
the power equipment monitoring module 2 is used for detecting the running state of each power equipment in the power grid, the environment data monitoring module 3 is used for detecting the environment data of the installation position of the power equipment, the power personnel management module 4 is used for collecting the information data of power grid workers, and the user demand collection module 5 is used for collecting the demand data of power grid users;
specifically, in this embodiment, the big data processing platform 1 includes a data receiving unit 11, a data type identifying unit 12, a data mining unit 13, a big data analyzing unit 14 and a data visualization unit 15, the data receiving unit 11, the data type identifying unit 12 and the data mining unit 13 are sequentially connected, and the data mining unit 13 is respectively connected with the big data analyzing unit 14 and the data visualization unit 15;
further, in this embodiment, the data type identification unit 12 is configured to identify data types of the acquired data items, and convert the data types into uniform data types, so as to facilitate subsequent data processing; the data mining unit 13 is used for analyzing the acquired mass data and searching the power grid rule from the mass data; the big data analysis unit 14 and the data visualization unit 15 are used for analyzing the reasons for generating the power grid rules, providing a power distribution scheme for reasonably utilizing the power grid rules, and performing visual display through the data visualization unit 15;
specifically, in this embodiment, the big data processing platform 1 is further connected to a user feedback module 9 and an electric power company docking module 10, the user feedback module 9 is configured to receive a feedback suggestion of a power grid user on operation of a power grid and assist a power grid worker in timely adjusting a power grid framework and equipment, and the electric power company docking module 10 is configured to dock a power company, transmit power grid monitoring data in time, and arrange the power grid worker in adjustment of an electric power system.
Example 2
Referring to fig. 1 to 3, in the embodiment of the present invention, an electric power system information processing system based on electric power big data includes a big data processing platform 1, a data input end of the big data processing platform 1 is connected to an electric power equipment monitoring module 2, an environmental data monitoring module 3, an electric power personnel management module 4 and a user demand acquisition module 5, and a data output end of the big data processing platform 1 is connected to a remote information management center 6;
the big data processing platform 1 is used for collecting and summarizing various electric power data in the electric power system, calculating and analyzing the various electric power data, mining data information and feeding the data information back to the remote information management center 6;
the power equipment monitoring module 2 is used for detecting the running state of each power equipment in the power grid, the environment data monitoring module 3 is used for detecting the environment data of the installation position of the power equipment, the power personnel management module 4 is used for collecting the information data of power grid workers, and the user demand collection module 5 is used for collecting the demand data of power grid users;
specifically, in this embodiment, the big data processing platform 1 includes a data receiving unit 11, a data type identifying unit 12, a data mining unit 13, a big data analyzing unit 14 and a data visualization unit 15, the data receiving unit 11, the data type identifying unit 12 and the data mining unit 13 are sequentially connected, and the data mining unit 13 is respectively connected with the big data analyzing unit 14 and the data visualization unit 15;
further, in this embodiment, the data type identification unit 12 is configured to identify data types of the acquired data items, and convert the data types into uniform data types, so as to facilitate subsequent data processing; the data mining unit 13 is used for analyzing the acquired mass data and searching the power grid rule from the mass data; the big data analysis unit 14 and the data visualization unit 15 are used for analyzing the reasons for generating the power grid rules, providing a power distribution scheme for reasonably utilizing the power grid rules, and performing visual display through the data visualization unit 15;
specifically, in this embodiment, the big data processing platform 1 is further connected to a user feedback module 9 and an electric power company docking module 10, the user feedback module 9 is configured to receive a feedback suggestion of a power grid user on operation of a power grid and assist a power grid worker in timely adjusting a power grid framework and equipment, and the electric power company docking module 10 is configured to dock a power company, transmit power grid monitoring data in time, and arrange the power grid worker in adjustment of an electric power system.
Referring to fig. 1 and 4, the present embodiment is different from embodiment 1 in that:
the remote information management system is characterized by further comprising a cloud database 7 and a mobile terminal 8, wherein the remote information management center 6 is respectively connected with the cloud database 7 and the mobile terminal 8, the cloud database 7 is used for storing and backing up various collected electric power data and power grid operation data, and the mobile terminal 8 is used for receiving information data sent by the remote information management center 6 and conducting remote control command;
example 3
Referring to fig. 1 to 3, in the embodiment of the present invention, an electric power system information processing system based on electric power big data includes a big data processing platform 1, a data input end of the big data processing platform 1 is connected to an electric power equipment monitoring module 2, an environmental data monitoring module 3, an electric power personnel management module 4 and a user demand acquisition module 5, and a data output end of the big data processing platform 1 is connected to a remote information management center 6;
the big data processing platform 1 is used for collecting and summarizing various electric power data in the electric power system, calculating and analyzing the various electric power data, mining data information and feeding the data information back to the remote information management center 6;
the power equipment monitoring module 2 is used for detecting the running state of each power equipment in the power grid, the environment data monitoring module 3 is used for detecting the environment data of the installation position of the power equipment, the power personnel management module 4 is used for collecting the information data of power grid workers, and the user demand collection module 5 is used for collecting the demand data of power grid users;
specifically, in this embodiment, the big data processing platform 1 includes a data receiving unit 11, a data type identifying unit 12, a data mining unit 13, a big data analyzing unit 14 and a data visualization unit 15, the data receiving unit 11, the data type identifying unit 12 and the data mining unit 13 are sequentially connected, and the data mining unit 13 is respectively connected with the big data analyzing unit 14 and the data visualization unit 15;
further, in this embodiment, the data type identification unit 12 is configured to identify data types of the acquired data items, and convert the data types into uniform data types, so as to facilitate subsequent data processing; the data mining unit 13 is used for analyzing the acquired mass data and searching the power grid rule from the mass data; the big data analysis unit 14 and the data visualization unit 15 are used for analyzing the reasons for generating the power grid rules, providing a power distribution scheme for reasonably utilizing the power grid rules, and performing visual display through the data visualization unit 15;
specifically, in this embodiment, the big data processing platform 1 is further connected to a user feedback module 9 and an electric power company docking module 10, the user feedback module 9 is configured to receive a feedback suggestion of a power grid user on operation of a power grid and assist a power grid worker in timely adjusting a power grid framework and equipment, and the electric power company docking module 10 is configured to dock a power company, transmit power grid monitoring data in time, and arrange the power grid worker in adjustment of an electric power system.
Referring to fig. 1 and 4, the present embodiment is different from embodiment 1 in that:
the remote information management system is characterized by further comprising a cloud database 7 and a mobile terminal 8, wherein the remote information management center 6 is respectively connected with the cloud database 7 and the mobile terminal 8, the cloud database 7 is used for storing and backing up various collected electric power data and power grid operation data, and the mobile terminal 8 is used for receiving information data sent by the remote information management center 6 and conducting remote control command;
specifically, in this embodiment, the remote information management center 6 includes a data receiving unit 61, a data operating end 62, a display end 63, and an overhaul scheduling unit 64, where the data receiving unit 61, the data operating end 62, the display end 63, and the overhaul scheduling unit 64 are sequentially connected.
Example 4
Referring to fig. 1 to 3, in the embodiment of the present invention, an electric power system information processing system based on electric power big data includes a big data processing platform 1, a data input end of the big data processing platform 1 is connected to an electric power equipment monitoring module 2, an environmental data monitoring module 3, an electric power personnel management module 4 and a user demand acquisition module 5, and a data output end of the big data processing platform 1 is connected to a remote information management center 6;
the big data processing platform 1 is used for collecting and summarizing various electric power data in the electric power system, calculating and analyzing the various electric power data, mining data information and feeding the data information back to the remote information management center 6;
the power equipment monitoring module 2 is used for detecting the running state of each power equipment in the power grid, the environment data monitoring module 3 is used for detecting the environment data of the installation position of the power equipment, the power personnel management module 4 is used for collecting the information data of power grid workers, and the user demand collection module 5 is used for collecting the demand data of power grid users;
specifically, in this embodiment, the big data processing platform 1 includes a data receiving unit 11, a data type identifying unit 12, a data mining unit 13, a big data analyzing unit 14 and a data visualization unit 15, the data receiving unit 11, the data type identifying unit 12 and the data mining unit 13 are sequentially connected, and the data mining unit 13 is respectively connected with the big data analyzing unit 14 and the data visualization unit 15;
further, in this embodiment, the data type identification unit 12 is configured to identify data types of the acquired data items, and convert the data types into uniform data types, so as to facilitate subsequent data processing; the data mining unit 13 is used for analyzing the acquired mass data and searching the power grid rule from the mass data; the big data analysis unit 14 and the data visualization unit 15 are used for analyzing the reasons for generating the power grid rules, providing a power distribution scheme for reasonably utilizing the power grid rules, and performing visual display through the data visualization unit 15;
specifically, in this embodiment, the big data processing platform 1 is further connected to a user feedback module 9 and an electric power company docking module 10, the user feedback module 9 is configured to receive a feedback suggestion of a power grid user on operation of a power grid and assist a power grid worker in timely adjusting a power grid framework and equipment, and the electric power company docking module 10 is configured to dock a power company, transmit power grid monitoring data in time, and arrange the power grid worker in adjustment of an electric power system.
Referring to fig. 1 and 4, the present embodiment is different from embodiment 1 in that:
the remote information management system is characterized by further comprising a cloud database 7 and a mobile terminal 8, wherein the remote information management center 6 is respectively connected with the cloud database 7 and the mobile terminal 8, the cloud database 7 is used for storing and backing up various collected electric power data and power grid operation data, and the mobile terminal 8 is used for receiving information data sent by the remote information management center 6 and conducting remote control command;
specifically, in this embodiment, the remote information management center 6 includes a data receiving unit 61, a data operating end 62, a display end 63, and an overhaul scheduling unit 64, where the data receiving unit 61, the data operating end 62, the display end 63, and the overhaul scheduling unit 64 are sequentially connected.
This example differs from examples 1-3 in that:
in this embodiment, the power equipment monitoring module 2 includes an equipment current detection unit 21, an equipment voltage detection unit 22, a power factor calculation unit 23, an electricity consumption duration recording unit 24 and an electricity consumption recording unit 25, where the equipment current detection unit 21 and the equipment voltage detection unit 22 are both connected to the power factor calculation unit 23, and the power factor calculation unit 23 and the electricity consumption duration recording unit 24 are both connected to the electricity consumption recording unit 25.
1. The data input end of the big data processing platform is connected with the power equipment monitoring module, the environmental data monitoring module, the power personnel management module and the user demand acquisition module, and the data output end of the big data processing platform is connected with the remote information management center;
2. the method comprises the steps of collecting and summarizing various electric power data in an electric power system through a big data processing platform, calculating and analyzing the various electric power data, mining data information, feeding back the data information to a remote information management center, butting the data information with an electric power company, transmitting power grid monitoring data in time and arranging power grid personnel to adjust the electric power system.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (10)
1. The utility model provides an electric power system information processing system based on electric power big data, a serial communication port, including big data processing platform (1), the data input end and power equipment monitoring module (2), environmental data monitoring module (3), electric power personnel management module (4) and user's demand collection module (5) of big data processing platform (1) are connected, the data output end and the remote information management center (6) of big data processing platform (1) are connected, big data processing platform (1) are arranged in gathering each item electric power data among the electric power system, carry out computational analysis, excavate data information to each item electric power data, and feed back to remote information management center (6).
2. The electric power big data-based electric power system information processing system according to claim 1, wherein the big data processing platform (1) comprises a data receiving unit (11), a data type identifying unit (12), a data mining unit (13), a big data analyzing unit (14) and a data visualizing unit (15), and the data receiving unit (11), the data type identifying unit (12) and the data mining unit (13) are connected in sequence.
3. The power system information processing system based on power big data according to claim 1, characterized in that the data mining unit (13) is connected with the big data analysis unit (14) and the data visualization unit (15), respectively.
4. The electric power big data-based electric power system information processing system according to claim 3, characterized in that the data type recognition unit (12) is used for recognizing the data type of each item of collected data and converting the data type into a unified data type for facilitating subsequent data processing, the data mining unit (13) is used for analyzing a large amount of collected data and searching for the power grid rule from the large amount of data, and the big data analysis unit (14) and the data visualization unit (15) are used for analyzing the reason for generating the power grid rule, providing a power distribution scheme for reasonably utilizing the power grid rule, and visually displaying the power distribution scheme through the data visualization unit (15).
5. The electric power big data-based electric power system information processing system according to claim 1, wherein the electric power equipment monitoring module (2) comprises an equipment current detection unit (21), an equipment voltage detection unit (22), a power factor calculation unit (23), a power utilization duration recording unit (24) and a power utilization amount recording unit (25).
6. The electric power big data-based electric power system information processing system according to claim 5, characterized in that the equipment current detection unit (21) and the equipment voltage detection unit (22) are both connected with the power factor calculation unit (23), and the power factor calculation unit (23) and the electricity consumption duration recording unit (24) are both connected with the electricity consumption recording unit (25).
7. The electric power big data-based electric power system information processing system according to claim 1, wherein the big data processing platform (1) is further connected to a user feedback module (9) and an electric power company docking module (10), respectively, the user feedback module (9) is used for receiving feedback suggestions of grid users on grid operation, and assisting grid workers in timely adjusting grid frameworks and equipment, and the electric power company docking module (10) is used for docking an electric power company, timely transmitting grid monitoring data and arranging grid workers to adjust an electric power system.
8. The electric power big data-based electric power system information processing system according to any one of claims 1 to 7, further comprising a cloud database (7) and a mobile terminal (8), wherein the remote information management center (6) is connected with the cloud database (7) and the mobile terminal (8), respectively.
9. The electric power big data-based electric power system information processing system according to claim 8, wherein the cloud database (7) is used for storing and backing up various collected electric power data and power grid operation data, and the mobile terminal (8) is used for receiving information data sent by the remote information management center (6) and performing remote control command.
10. The electric power big data-based electric power system information processing system according to claim 9, wherein the remote information management center (6) comprises a data receiving unit (61), a data operating terminal (62), a display terminal (63) and a maintenance scheduling unit (64), and the data receiving unit (61), the data operating terminal (62), the display terminal (63) and the maintenance scheduling unit (64) are sequentially connected.
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