CN116054403A - Power grid dispatching measurement and monitoring method based on national network big data platform - Google Patents
Power grid dispatching measurement and monitoring method based on national network big data platform Download PDFInfo
- Publication number
- CN116054403A CN116054403A CN202310031371.5A CN202310031371A CN116054403A CN 116054403 A CN116054403 A CN 116054403A CN 202310031371 A CN202310031371 A CN 202310031371A CN 116054403 A CN116054403 A CN 116054403A
- Authority
- CN
- China
- Prior art keywords
- power grid
- data
- service system
- abnormal
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a power grid dispatching measurement and monitoring method based on a national network big data platform, which comprises the following steps: firstly, acquiring power grid data, and transmitting the local power distribution data to an area service system by a local power distribution system; the early warning system and the monitoring system are adopted to perform dual monitoring on the electric energy power grid data, once abnormality is found, a corresponding solution is generated by immediately generating a solution to the fault, the position of a specific area where the fault occurs is traced, the specific area is sent to the fault position of the abnormal area in an information mode, and scheduling staff are timely driven to the site for maintenance and overhaul. The invention shortens the time from fault occurrence to repair to the shortest as much as possible, ensures that the power supply system of each area can be timely solved after abnormality occurs, reduces the occurrence rate of potential safety hazards, repairs the faults in the shortest time, and reduces the economic loss influence caused by power failure in large factories and commercial places.
Description
Technical Field
The invention relates to the technical field of power grid monitoring, in particular to a power grid dispatching measurement monitoring method based on a national network big data platform.
Background
The power system is a unified whole formed by secondary facilities such as power generation, power supply (power transmission, power transformation and power distribution), power utilization facilities, regulation control, relay protection and safety automatic devices, metering devices, dispatching automation, power communication and the like which are required for guaranteeing the normal operation of the power system; the power system is an electric energy production and consumption system which is composed of links such as a power plant, a power transmission and transformation circuit, a power supply and distribution station, electricity consumption and the like. The system has the functions of converting primary energy in nature into electric energy through a power generation device, and supplying the electric energy to each user through power transmission, transformation and distribution. In order to realize the function, the power system is also provided with corresponding information and control systems in various links and different levels, and the production process of the electric energy is measured, regulated, controlled, protected, communicated and scheduled so as to ensure that a user obtains safe and high-quality electric energy, and the power grid scheduling measurement monitoring system ensures that the monitoring in the whole operation process of the electric energy is recorded in real time for the use condition of the electric energy in each region.
However, the existing power grid dispatching measurement and monitoring method of the national grid big data platform only has the advantages that the use condition of electric energy is recorded and stored in real time, the defect exists, abnormal early warning can not be carried out on abnormal electric energy grid data in the process of electric energy grid data each time, when abnormal faults exist in each power distribution system, people cannot be timely found and cannot be timely dispatched, once the power distribution system breaks down, potential safety hazards such as fire disasters and the like are caused, the power supply of the whole area is stopped, and the economy of large factories and commercial places is influenced.
Therefore, the power grid dispatching measurement and monitoring method based on the national network big data platform is provided to solve the problems.
Disclosure of Invention
In order to solve the problems that the existing power grid dispatching measurement monitoring method based on the national network big data platform cannot perform abnormal early warning, and when abnormal faults exist in each power distribution system, personnel dispatching cannot be timely found out, the invention aims to provide the power grid dispatching measurement monitoring method based on the national network big data platform, which ensures that power supply systems of all areas can be timely solved after the occurrence of the abnormality, reduces the occurrence rate of potential safety hazards, repairs the faults in the shortest time and reduces the influence of economic losses caused by power failure.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a power grid dispatching measurement and monitoring method based on a national network big data platform comprises the following steps:
step 1: acquiring power grid data: the local power distribution system sends local power distribution data to the regional service system, the regional service system carries out abnormal monitoring on the data through the power grid monitoring system after obtaining the data, the data is normally and continuously sent upwards to the total service system, and the total service system obtains local and regional real-time power grid information;
step 2: abnormality detection: when the power grid monitoring system finds that the regional service transmission output has abnormal conditions, abnormal data are transmitted to the early warning system, and the early warning system performs analysis and calculation;
step 3: early warning system: the early warning system inputs stable power grid data in advance, the power grid data comprise voltage, current, frequency and load, the up-down floating ratio of the voltage, the current, the frequency and the load is not more than 5%, the power grid value exceeds the stable power grid data, and the data abnormality is immediately determined;
step 4: personnel scheduling: the method comprises the steps that abnormal data are determined to exist, an early warning system sends the abnormal data to a total service system, the total service system sends abnormal information to a scheduling system, the scheduling system obtains the abnormal data and sends the abnormal data to a subarea service system, the subarea service system determines abnormal data sources and sends specific abnormal data to a local power distribution system in an information mode, the local power distribution system forwards information to a local power grid platform, and the local power grid platform informs personnel to drive to a power distribution system site for maintenance.
Preferably, in step 1, the total service system, the regional service system and the local distribution system are specifically provinces, cities and counties, the counties include towns, and the provinces, the cities and the counties are all provided with power grid service platforms, and maintenance personnel are configured.
Preferably, in step 1, the total service system, the regional service system and the local power distribution system are responsible for issuing commands and receiving and storing real-time power grid data, the regional service system is responsible for receiving daily power grid data transmitted by the lower regional service system, and the local power distribution system is responsible for receiving real-time power grid data in counties and towns.
Preferably, in step 1, the grid data received by the regional service system is compared with the grid data received by the total service system through the early warning system and the grid monitoring system, and the double-layer comparison accuracy is higher.
Preferably, in step 2, the early warning system includes solutions for different power grid abnormal data, and the solutions are issued according to specific directions of abnormal behaviors after the abnormal data are determined, where the solutions include tools that maintenance personnel need to carry, maintenance personnel need to notice matters, and maintenance personnel need to operate the power distribution system.
Preferably, in step 2, the grid monitoring system also has stable data of grid data, which is the same as the early warning system, and the real-time grid data transmitted by the lower stage is compared.
Preferably, in step 2, the task release of the early warning system and the task release of the scheduling system are sent to the total service system, and the total service system stores the abnormal data and simultaneously generates and sends the response scheme.
Preferably, in step 3, there is a problem of potential hazards due to abnormality of voltage, current, frequency and load, and after abnormality of voltage, current, frequency and load, abnormality of power supply system equipment is caused, so that overall paralysis of the power supply line system is extremely liable to be caused.
Preferably, in step 3, the early warning system must monitor the up-down floating data of voltage, current, frequency and load in real time.
Preferably, in step 4, maintenance personnel are guaranteed to be on duty for 24 hours, guaranteeing the quick positioning of maintenance work.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts the early warning system and the monitoring system to perform dual monitoring on the electric energy power grid data, once the abnormality is found, the coping scheme of the fault is immediately generated, the corresponding solution is timely generated, the position of the specific area where the fault occurs is immediately traced back, the specific area where the fault occurs is sent to the fault position of the abnormal area in an information mode, and the personnel are timely scheduled to the site for maintenance and overhaul, so that the time from the fault occurrence to the repair is shortened to the shortest as much as possible, the power supply system of each area can be timely solved after the abnormality occurs, the effect of reducing the occurrence of potential safety hazards is achieved, the fault occurrence is repaired in the shortest time, and the economic loss influence caused by the power failure of large factories and commercial places is reduced.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The invention will now be described in more detail by way of examples which are illustrative only and are not intended to limit the scope of the invention in any way.
As shown in fig. 1, a power grid dispatching measurement and monitoring method based on a national network big data platform comprises the following steps:
step 1: acquiring power grid data: the local power distribution system sends local power distribution data to the regional service system, the regional service system carries out abnormal monitoring on the data through the power grid monitoring system after obtaining the data, the data is normally and continuously sent upwards to the total service system, and the total service system obtains local and regional real-time power grid information;
step 2: abnormality detection: when the power grid monitoring system finds that the regional service transmission output has abnormal conditions, abnormal data are transmitted to the early warning system, and the early warning system performs analysis and calculation;
step 3: early warning system: the early warning system inputs stable power grid data in advance, the power grid data comprise voltage, current, frequency and load, the up-down floating ratio of the voltage, the current, the frequency and the load is not more than 5%, the power grid value exceeds the stable power grid data, and the data abnormality is immediately determined;
step 4: personnel scheduling: the method comprises the steps that abnormal data are determined to exist, an early warning system sends the abnormal data to a total service system, the total service system sends abnormal information to a scheduling system, the scheduling system obtains the abnormal data and sends the abnormal data to a subarea service system, the subarea service system determines abnormal data sources and sends specific abnormal data to a local power distribution system in an information mode, the local power distribution system forwards information to a local power grid platform, and the local power grid platform informs personnel to drive to a power distribution system site for maintenance.
Embodiment one:
firstly acquiring power grid data, transmitting the local power distribution data to a regional service system by a local power distribution system, after the regional service system acquires the data, carrying out abnormal monitoring on the data through a power grid monitoring system, normally continuing to transmit the data to the total service system, acquiring local and regional real-time power grid information by the total service system, then carrying out abnormal detection, when the power grid monitoring system finds that the regional service transmission output has abnormal conditions, transmitting the abnormal data to an early warning system, carrying out analysis and calculation by the early warning system, carrying out early warning by the early warning system, inputting stable power grid data in advance, wherein the power grid data comprises voltage, current, frequency and load, the upper and lower floating ratio of the voltage, the current, the frequency and the load is not more than 5%, the power grid value exceeds the stable power grid data, immediately determining that the data is abnormal, finally carrying out personnel scheduling, determining that the data is abnormal, transmitting the abnormal data to the total service system by the early warning system, transmitting the abnormal information to a scheduling system by the total service system, obtaining the abnormal data to a subarea service system, determining the source of the abnormal data by the subarea service system, transmitting the local power distribution system in an information mode, transmitting the local power distribution system to a local power grid platform, and notifying the local power grid platform to the local power grid platform, and carrying out on site maintenance personnel to the power grid system.
Embodiment two:
in the first embodiment, the following steps are added:
in step 1, the total service system, the regional service system and the local power distribution system are specifically provinces, cities and counties, the counties comprise towns, the provinces, the cities and the counties, the towns of the sum of the counties are all provided with power grid service platforms, maintenance personnel are configured, the total service system, the regional service system and the local power distribution system are responsible for issuing commands and receiving and storing real-time power grid data, the regional service system is responsible for receiving and transmitting the power grid data daily by the lower regional service system, the local power distribution system is responsible for receiving the real-time power grid data in the counties and the towns, the power grid data received by the regional service system is compared with the power grid monitoring system through the early warning system and the power grid monitoring system, and the double-layer comparison accuracy is higher.
Firstly, acquiring power grid data, transmitting the local power distribution data to a regional service system by a local power distribution system, after the regional service system acquires the data, carrying out abnormal monitoring on the data by a power grid monitoring system, normally continuing to transmit the data to a total service system, acquiring real-time power grid information of the local and regional by the total service system, wherein the total service system, the regional service system and the local power distribution system are particularly provinces, cities and counties, the counties comprise towns, the provinces, the cities and the counties, the towns of the counties are all provided with power grid service platforms, maintenance personnel are configured, the total service system, the regional service system and the local power distribution system are responsible for issuing commands and receiving and storing the real-time power grid data, the regional service system is responsible for receiving the daily transmission power grid data of a lower regional service system, the local power distribution system is responsible for receiving the county and the real-time power grid data, the power grid data received by the regional service system is firstly compared with the power grid monitoring system and is input into the total service system, the double-layer comparison accuracy is higher, then abnormality detection is carried out, when the power grid monitoring system finds that the regional service transmission output has abnormal conditions, the abnormal data is transmitted to the early warning system, the early warning system carries out analysis and calculation, then the early warning system carries out early warning, the early warning system inputs stable power grid data in advance, the power grid data comprises voltage, current, frequency and load, the upper and lower floating ratio of the voltage, the current, the frequency and the load is not more than 5%, the power grid value exceeds the stable power grid data, the data abnormality is immediately determined, finally personnel scheduling is carried out, the abnormality of the data is determined, the early warning system transmits the abnormal data to the total service system, the total service system transmits the abnormal information to the scheduling system, the scheduling system obtains the abnormal data and transmits the abnormal data to the regional service system, the regional service system determines the source of the abnormal data, and sends the specific abnormal data to the local power distribution system in an information mode, the local power distribution system forwards information to a local power grid platform, and the local power grid platform informs personnel to drive to the power distribution system to be maintained on site.
Embodiment III:
in the second embodiment, the following steps are added:
in step 2, the pre-warning system includes solutions for different power grid abnormal data, and after the abnormal data is determined, the solutions are issued according to specific directions of abnormal behaviors, where the solutions include tools that maintenance personnel need to carry, maintenance personnel need to notice, maintenance personnel need to operate the power distribution system, the power grid monitoring system also includes stable data of the power grid data, and the power grid monitoring system is the same as the pre-warning system, and needs to compare real-time power grid data transmitted by the lower stage, and task issues of the pre-warning system and the scheduling system are sent to the total service system first, the total service system stores the abnormal data, and meanwhile generates and sends the solutions.
Firstly acquiring power grid data, transmitting the local power distribution data to a regional service system by a local power distribution system, carrying out abnormal monitoring on the data through a power grid monitoring system after the regional service system acquires the data, normally continuing to transmit the data to a total service system, acquiring local and regional real-time power grid information by the total service system, wherein the total service system, the regional service system and the local power distribution system are particularly provinces, cities and counties, the provinces and the counties are included in the counties, the power grid service platforms are arranged in the provinces, maintenance personnel are arranged in the counties, the total service system, the regional service system and the local power distribution system are responsible for issuing commands and receiving and storing the real-time power grid data, the regional power distribution system is responsible for receiving and storing the lower-level regional power grid data daily, the local power distribution system is responsible for receiving and storing the real-time power grid data in the county, the power grid data received by the regional service system is firstly compared with the power grid monitoring system and input into the total service system, the double-layer comparison accuracy is higher, then carrying out abnormal detection when the regional service transmission output is found to be provided with an early warning system, the early warning system is calculated, the early warning system is required to analyze the abnormal data, the abnormal data is included in the power grid monitoring system is required to be stably carried by the power grid monitoring system, the power grid data is required to be stably carried by the same power grid monitoring system, and has a specific maintenance plan corresponding to the power grid data, and needs to be stably carried by the maintenance personnel in the real-level has the maintenance plan is required to be carried by the real-time to be corresponding to the power grid data, the method comprises the steps that firstly, task release of an early warning system and task release of a dispatching system are transmitted to a total service system, the total service system stores abnormal data, meanwhile, generation and transmission of a response scheme are carried out, then the early warning system carries out early warning, the early warning system inputs stable power grid data in advance, the power grid data comprise voltage, current, frequency and load, the voltage, current, frequency and load up-down floating ratio are not more than 5%, the power grid value exceeds the stable power grid data, data abnormality is immediately determined, finally, personnel dispatching is carried out, the abnormal data are determined, the early warning system transmits the abnormal data to the total service system, the total service system transmits abnormal information to the dispatching system, the dispatching system obtains the abnormal data and transmits the abnormal data to a subarea service system, the subarea service system determines abnormal data sources, and transmits specific abnormal data to a local power distribution system in an information mode, the local power distribution system forwards information to a local power grid platform, and the local power grid platform notifies personnel to the power distribution system to the scene for maintenance.
Embodiment four:
in example three, the following procedure was added:
in step 3, potential hazards exist in the abnormality of voltage, current, frequency and load, and after the abnormality of voltage, current, frequency and load occurs, the abnormality of power supply system equipment can be caused, so that the whole power supply line system is easy to break down, and the early warning system is required to monitor up-and-down floating data of the voltage, current, frequency and load in real time.
In step 4, maintenance personnel are guaranteed to be on duty for 24 hours, and the maintenance work is guaranteed to be in place quickly.
Firstly acquiring power grid data, transmitting the local power distribution data to a regional service system by a local power distribution system, carrying out abnormal monitoring on the data through a power grid monitoring system after the regional service system acquires the data, normally continuing to transmit the data to a total service system, acquiring local and regional real-time power grid information by the total service system, wherein the total service system, the regional service system and the local power distribution system are particularly provinces, cities and counties, the provinces and the counties are included in the counties, the power grid service platforms are arranged in the provinces, maintenance personnel are arranged in the counties, the total service system, the regional service system and the local power distribution system are responsible for issuing commands and receiving and storing the real-time power grid data, the regional power distribution system is responsible for receiving and storing the lower-level regional power grid data daily, the local power distribution system is responsible for receiving and storing the real-time power grid data in the county, the power grid data received by the regional service system is firstly compared with the power grid monitoring system and input into the total service system, the double-layer comparison accuracy is higher, then carrying out abnormal detection when the regional service transmission output is found to be provided with an early warning system, the early warning system is calculated, the early warning system is required to analyze the abnormal data, the abnormal data is included in the power grid monitoring system is required to be stably carried by the power grid monitoring system, the power grid data is required to be stably carried by the same power grid monitoring system, and has a specific maintenance plan corresponding to the power grid data, and needs to be stably carried by the maintenance personnel in the real-level has the maintenance plan is required to be carried by the real-time to be corresponding to the power grid data, the task release of the early warning system and the dispatching system is firstly transmitted to the total service system, the total service system stores abnormal data, meanwhile, the generation and the transmission of a coping scheme are simultaneously carried out, then the early warning system carries out early warning, the early warning system inputs stable power grid data in advance, the power grid data comprises voltage, current, frequency and load, the up-down floating ratio of the voltage, the current, the frequency and the load is not more than 5%, the power grid value exceeds the stable power grid data, the problem that the data is abnormal is immediately confirmed, the problem that the abnormality of the voltage, the current, the frequency and the load has hidden trouble exists is solved, after the abnormality occurs to the voltage, the current, the frequency and the load, the abnormality of power supply system equipment is caused, the integral paralysis of the power supply system is extremely easy to cause, finally, personnel dispatching is carried out, the abnormality of the data is confirmed, the early warning system transmits the abnormality data to the total service system, the system transmits abnormality information to the dispatching system, the dispatching system obtains the abnormality data to the regional service system, the regional service system confirms the source of the abnormality data, the local abnormality data is transmitted to the power distribution system in an information mode, the local power distribution system forwards information to the local power grid platform, and the local maintenance platform is guaranteed to be in a small place and the power distribution system is guaranteed to be in place and a small place maintenance platform is carried out at a site when the power distribution system is in place, and the power distribution system is kept in position at 24 is guaranteed.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A power grid dispatching measurement and monitoring method based on a national network big data platform is characterized in that: the method comprises the following steps:
step 1: acquiring power grid data: the local power distribution system sends local power distribution data to the regional service system, the regional service system carries out abnormal monitoring on the data through the power grid monitoring system after obtaining the data, the data is normally and continuously sent upwards to the total service system, and the total service system obtains local and regional real-time power grid information;
step 2: abnormality detection: when the power grid monitoring system finds that the regional service transmission output has abnormal conditions, abnormal data are transmitted to the early warning system, and the early warning system performs analysis and calculation;
step 3: early warning system: the early warning system inputs stable power grid data in advance, the power grid data comprise voltage, current, frequency and load, the up-down floating ratio of the voltage, the current, the frequency and the load is not more than 5%, the power grid value exceeds the stable power grid data, and the data abnormality is immediately determined;
step 4: personnel scheduling: the method comprises the steps that abnormal data are determined to exist, an early warning system sends the abnormal data to a total service system, the total service system sends abnormal information to a scheduling system, the scheduling system obtains the abnormal data and sends the abnormal data to a subarea service system, the subarea service system determines abnormal data sources and sends specific abnormal data to a local power distribution system in an information mode, the local power distribution system forwards information to a local power grid platform, and the local power grid platform informs personnel to drive to a power distribution system site for maintenance.
2. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 1, the total service system, the regional service system and the local power distribution system are specifically provinces, cities and counties, and the counties include towns; the provinces, the cities and the counties and the towns are all provided with power grid service platforms, and maintenance personnel are configured.
3. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 1, the total service system, the regional service system and the local power distribution system are responsible for issuing commands and receiving and storing real-time power grid data, the regional service system is responsible for receiving daily power grid data of a lower regional service system, and the local power distribution system is responsible for receiving real-time power grid data in counties and towns.
4. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 1, the grid data received by the regional service system is compared with the grid monitoring system through the early warning system, and then is input into the total service system, so that the accuracy is improved through double-layer comparison.
5. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 2, the pre-warning system includes solutions for different power grid abnormal data, and after the abnormal data is determined, the solutions are issued according to specific directions of abnormal behaviors, where the solutions include: tools that maintenance personnel need to carry, maintenance personnel need to pay attention to, and maintenance personnel need to be on the operating range of the power distribution system.
6. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 2, the power grid monitoring system has stable data of power grid data, and the stable data are the same as the early warning system, and the real-time power grid data transmitted by the lower stage are compared.
7. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 2, task release of the early warning system and the dispatching system is firstly sent to the total service system, and the total service system stores abnormal data and simultaneously generates and sends a response scheme.
8. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 3, voltage, current, frequency and load are abnormal, resulting in abnormality of power supply system equipment and thus overall paralysis of the power supply line system.
9. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 3, the early warning system monitors up-and-down floating data of voltage, current, frequency and load in real time.
10. The method for monitoring power grid dispatching in a large data platform based on national network according to claim 1, wherein the method comprises the following steps: in step 4, maintenance personnel are on duty for 24 hours, ensuring that maintenance work is quickly in place.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310031371.5A CN116054403A (en) | 2023-01-10 | 2023-01-10 | Power grid dispatching measurement and monitoring method based on national network big data platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310031371.5A CN116054403A (en) | 2023-01-10 | 2023-01-10 | Power grid dispatching measurement and monitoring method based on national network big data platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116054403A true CN116054403A (en) | 2023-05-02 |
Family
ID=86130939
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310031371.5A Pending CN116054403A (en) | 2023-01-10 | 2023-01-10 | Power grid dispatching measurement and monitoring method based on national network big data platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116054403A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117013701A (en) * | 2023-08-08 | 2023-11-07 | 国网安徽省电力有限公司 | Power quality monitoring method and system for power management |
-
2023
- 2023-01-10 CN CN202310031371.5A patent/CN116054403A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117013701A (en) * | 2023-08-08 | 2023-11-07 | 国网安徽省电力有限公司 | Power quality monitoring method and system for power management |
| CN117013701B (en) * | 2023-08-08 | 2024-04-02 | 国网安徽省电力有限公司 | Power quality monitoring method and system for power management |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102707178B (en) | Method for prewarning and monitoring failures of secondary equipment of power system | |
| CN102737287B (en) | Regional power grid on-line power supply risk assessment system | |
| CN110752674B (en) | Electric power disaster monitoring and simulating system | |
| CN201522790U (en) | Simulation training system for monitoring staff of power grid | |
| CN102737286A (en) | Online risk analysis system and method for regional power grid | |
| CN102708411A (en) | Method for evaluating risk of regional grid on line | |
| CN107658985A (en) | Transformer station's Centralized Monitoring visualization system and its application method | |
| CN106451412B (en) | Important load based on power supply backward protects electric decision-making technic and visual display method | |
| CN116054403A (en) | Power grid dispatching measurement and monitoring method based on national network big data platform | |
| CN108629526A (en) | A kind of accident presentation method based on automation system for the power network dispatching | |
| CN104237735A (en) | Modeling and fault analysis method combining fault indicator and power distribution terminal | |
| CN108539856A (en) | Power distribution network complete perception operation monitoring power distribution rush-repair system | |
| CN109560608B (en) | Intelligent management and control system of distributed photovoltaic access power distribution network | |
| CN114139742A (en) | Power distribution network management and control system and management and control method | |
| CN113162233A (en) | Auxiliary equipment monitoring system for third-generation intelligent substation | |
| CN115441581A (en) | Large-scale power grid safety and intelligent scheduling system based on big data | |
| CN106655127A (en) | Urgent repair command system for distribution network | |
| CN108303956B (en) | Automatic on-duty centralized monitoring system for power grid dispatching | |
| Ramaswamy et al. | Analysis of Distribution Line in Link with Substation using GSM Technology | |
| CN110829449A (en) | AVC operation fault analysis method | |
| CN206517145U (en) | Distribution box electric power system with storage function | |
| CN104578431A (en) | Emergency dispatching automation system based on EMS system | |
| Li et al. | Study of Situation Assessment Model and Perceptual Prediction of Smart Grid Network Using Situation Awareness Technology | |
| CN220872907U (en) | Butterfly valve control system of circulating water pump | |
| CN204615363U (en) | The intelligent differential controller of a kind of box type transformer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |