CN114019299A - Special transformer user power failure information fault active study, judgment and reporting method and system - Google Patents
Special transformer user power failure information fault active study, judgment and reporting method and system Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/063—Details of electronic electricity meters related to remote communication
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- 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
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention discloses a special transformer user power failure information fault active study judgment and reporting method and system, which are based on the power failure data acquisition of a special transformer user of a 5G module, and are used for efficiently uploading structured and unstructured data of the special transformer user acquired by an Internet of things sensing terminal, realizing power failure information characteristic analysis, efficient fault judgment and accurate positioning through a multi-source data fusion technology and an edge calculation module, finally reporting power failure fault information of the 5G technology, realizing second-level fault information transmission, and quickly performing emergency repair after a master station personnel receives the power failure fault information.
Description
Technical Field
The invention relates to the technical field of power marketing, in particular to a method and a system for researching, judging and reporting power failure information faults of a special transformer user.
Background
With the advance of intelligent power grid construction, the requirement on power supply reliability is continuously improved, and after a power failure event occurs, the power failure of the power distribution network is efficiently and uniformly managed, so that the method has important significance for improving the power supply reliability and improving the customer service level. At present, a fault power failure research and judgment technology is mature, but research on comprehensive research and judgment of a power failure event of a special transformer user is less, a mainstream technical means is to research and judge power failure data and artificial subjectivity of a power utilization information acquisition system, and the method is insufficient in timeliness and accuracy and causes great trouble for practical use.
Disclosure of Invention
The invention aims to provide a method and a system for actively studying, judging and reporting power failure information faults of a special transformer user, aiming at the current situation that power failure information of the special transformer user is insufficient in timeliness and accuracy, and the method and the system can be used for carrying out fault positioning on different fault information based on multi-source data.
In order to realize the purpose of the invention, the technical scheme provided by the invention is as follows:
first aspect
A method for actively researching, judging and reporting power failure information faults of a special transformer user comprises the following steps:
step 1: the method comprises the steps of special transformer user power failure data acquisition based on a 5G module and power failure information acquisition based on marketing and distribution communication;
step 2: aiming at the collected power failure data and power failure information of the special transformer user, performing power failure data characteristic analysis on the special transformer user based on a multi-source data fusion technology;
and step 3: judging power failure fault information based on the edge calculation module;
and 4, step 4: and (4) reporting the power failure fault information of the judgment result in the step (3) based on a 5G communication technology.
Wherein, in step 1, specially become user's power failure data acquisition based on 5G module specifically includes:
(1) power failure information perception based on the power internet of things technology; the method comprises the steps that a low-power-consumption sensing module of the power internet of things is deployed at a special transformer user side, structured and unstructured data of a transformer substation are collected, and when a power failure event occurs, data are uploaded through an LORA gateway and a protocol;
(2) uploading power failure data based on a 5G slicing technology; and deploying a 5G communication module, and uploading structured data and unstructured data acquired by the terminal based on the 5G slice.
Wherein the 5G slice comprises the following structure: 1) moving the broadband enhancement slice; 2) slicing mass machine type communication; 3) ultra-reliable low-latency communication slices.
Wherein, in step 1, the power failure information acquisition based on marketing and distribution link-up specifically includes:
(1) collecting high-voltage power failure information;
(2) collecting low-voltage power failure information;
(3) and data acquisition based on the marketing and distribution fusion terminal.
In step 3, the power failure fault information based on the edge calculation module is determined as deploying the edge calculation module on the special transformer user side, and the multisource power failure information characteristics are subjected to key monitoring analysis to realize power failure fault positioning, which specifically includes:
(1) power failure state monitoring
The edge computing module system monitors the running state of the special transformer outgoing line switch, the running state of the branch switch, the station area master meter and the running state of the customer electric energy meter in real time;
(2) power failure fault location
The edge calculation module can automatically judge the switch-off position of the switch causing power failure, and accurately position a fault area by using a line topological relation, so that the fault line inspection range is reduced, and the first-aid repair time is shortened.
In the step 4, reporting the power failure fault information based on the 5G technology, specifically, after the edge calculation module accurately positions the power failure fault point, the 5G module is used for realizing second-level transmission of the fault information.
Second aspect of the invention
Correspondingly to the method, the special transformer user power failure information fault active study, judgment and reporting system comprises an acquisition module, a characteristic analysis module, a fault information judgment module and a reporting module;
the acquisition module is used for acquiring power failure data of a special transformer user based on the 5G module and acquiring power failure information based on marketing and distribution communication;
the characteristic analysis module is used for carrying out characteristic analysis on the power failure data of the special transformer user based on a multi-source data fusion technology aiming at the collected power failure data and power failure information of the special transformer user;
the fault information judgment module is used for judging power failure fault information based on the edge calculation module;
and the reporting module is used for reporting the power failure fault information according to the judgment result of the fault information judging module based on a 5G communication technology.
Compared with the prior art, the invention has the beneficial effects that:
1. and the data of the special transformer user is efficiently collected. By the 5G slicing technology, the state and the environment information of the special transformer user equipment are uploaded with high bandwidth, high reliability and low time delay, and the fault information perception efficiency of the special transformer user is greatly improved;
2. and fusing fault study and judgment of multi-source data. The invention provides an analysis method based on multi-source data such as equipment state environment, marketing and distribution fusion and the like, and the power failure fault analysis has more dimensionality and higher analysis accuracy;
3. a fault positioning and reporting method based on edge calculation is provided. The edge autonomy can be realized, the pressure of the main station is effectively relieved, the fault location and reporting can be quickly realized, and emergency repair personnel can quickly receive the task work order. Is convenient for popularization and use in industry.
Drawings
Fig. 1 is a schematic flow chart of the method provided in the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The invention is described in further detail below with reference to the figures and specific examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when used in this specification the singular forms "a", "an" and/or "the" include "specify the presence of stated features, steps, operations, elements, or modules, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It will be understood that when an element is referred to herein as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1, a specific embodiment of a method for actively studying, determining and reporting power failure information of a dedicated transformer user is provided. Specifically, the following are included:
1. special transformer user power failure data acquisition based on 5G module
(1) Power failure information perception based on power internet of things technology
The power internet of things low-power consumption sensing module is deployed at a special transformer user side, structured and unstructured data such as a storage battery state of a transformer substation, a main transformer short circuit impact, a switch cabinet state, a lightning arrester state and a main transformer core current are collected, and after a power failure event occurs, data uploading is carried out through an LORA gateway and a protocol.
(2) Power failure data uploading based on 5G slicing technology
And deploying a 5G communication module, and uploading structured data and unstructured data acquired by the terminal based on the 5G slice. Wherein, 5G section includes following structure:
1) the wideband enhancement slice is moved. Triggering a large-bandwidth mobile access slice aiming at services with high bandwidth requirements such as pictures and videos;
2) and slicing mass machine type communication. Triggering an Internet of things access slice aiming at massive transformer substation auxiliary monitoring, line sensing detection data, electricity utilization information acquisition service and other data of a special transformer user, and realizing large-scale static Internet of things terminal information uploading;
3) ultra-reliable low-latency communication slices. And aiming at information such as power failure and the like, the requirement of 5ms ultra-low time delay and industrial-grade reliability guaranteed data uploading can be met.
2. Power failure information acquisition based on marketing and distribution communication
(1) High voltage power failure information acquisition
1) And (6) actively and thoroughly copying. The method comprises the steps that through a master station transparent reading mode of the electricity information acquisition system, all electric energy meters of a special transformer user are subjected to electric energy meter stop and go and event reading in real time;
2) and actively reporting, reporting the state information and the important logs to the master station based on the electric energy meter concentrator, and reporting the data to the master station at regular time according to the set of the regular sending task.
(2) Low voltage power failure information acquisition
And reporting the power loss information, the heavy overload information of the transformer area, the serious three-phase unbalance information of the low-voltage power grid, the voltage abnormity and other information of the low-voltage side of the special transformer user through the intelligent electric energy meter.
(3) Data acquisition based on marketing and distribution fusion terminal
Based on the marketing and distribution integration terminal, the data acquisition and integration of the high-voltage side and the low-voltage side are realized, information flow and business flow between marketing and production specialties are communicated comprehensively, professional barriers are broken, business data are shared, and updating is carried out synchronously.
3. Special transformer user power failure data characteristic analysis based on multi-source data fusion technology
(1) Multi-source fused data preprocessing
The time series is converted to a steady state by the difference data and the normalized input variables. The supervised learning problem is constructed to predict electricity consumption data at a current point in time based on given historical electricity consumption data and weather and calendar information at a previous corresponding point in time. The device status and environment description attributes are subjected to one-hot code (one-hot code), non-numeric value (NaN) mean filling, and all input attributes are normalized.
(2) Power failure data characteristic analysis based on multi-dimensional characteristic model
And (3) obtaining a final characteristic result based on model fusion calculation of the multi-dimensional characteristics, and classifying the power failure characteristics, including planned power failure, equipment failure, bus power failure, current and voltage abnormity, environment abnormity and the like.
The model formula is as follows:
where pi is the probability of abnormal power failure due to various power failure causes, wiThe weight of the corresponding power failure abnormal reason.
4. Power failure fault information judgment based on edge calculation module
And deploying an edge calculation module at the side of a special transformer user, and performing key monitoring analysis on the multi-source power failure information characteristics to realize power failure fault positioning.
(1) Power failure state monitoring
The edge computing module system monitors the running state (data such as switch position, current, voltage and the like) of the special transformer outgoing line switch, the running state (data such as switch position, current, voltage and the like) of the branch switch, the station area general meter and the running state (data such as power-off events, current, voltage and the like) of the customer electric energy meter in real time.
(2) Power failure fault location
The module can automatically judge the switch-off position of the switch causing power failure, and accurately position a fault area by utilizing the line topological relation, thereby reducing the fault line-checking range and shortening the first-aid repair time.
5. Power failure fault information reporting based on 5G technology
After the edge calculation module accurately positions the power failure fault point, the second-level transmission of the fault information is realized through the 5G module. And the personnel of the main station can quickly implement emergency repair after receiving the power failure fault information.
The technical means not described in detail in the present application are known techniques.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (7)
1. A method for actively researching, judging and reporting power failure information faults of a special transformer user is characterized by comprising the following steps:
step 1: the method comprises the steps of special transformer user power failure data acquisition based on a 5G module and power failure information acquisition based on marketing and distribution communication;
step 2: aiming at the collected power failure data and power failure information of the special transformer user, performing power failure data characteristic analysis on the special transformer user based on a multi-source data fusion technology;
and step 3: judging power failure fault information based on the edge calculation module;
and 4, step 4: and (4) reporting the power failure fault information of the judgment result in the step (3) based on a 5G communication technology.
2. The active study, judgment and reporting method for the power failure information fault of the special transformer user according to claim 1, wherein in the step 1, the power failure data acquisition of the special transformer user based on the 5G module specifically comprises:
(1) power failure information perception based on the power internet of things technology; the method comprises the steps that a low-power-consumption sensing module of the power internet of things is deployed at a special transformer user side, structured and unstructured data of a transformer substation are collected, and when a power failure event occurs, data are uploaded through an LORA gateway and a protocol;
(2) uploading power failure data based on a 5G slicing technology; and deploying a 5G communication module, and uploading structured data and unstructured data acquired by the terminal based on the 5G slice.
3. The method as claimed in claim 2, wherein the 5G slice includes the following structure: 1) moving the broadband enhancement slice; 2) slicing mass machine type communication; 3) ultra-reliable low-latency communication slices.
4. The method for actively studying, judging and reporting power failure information of a special transformer user according to claim 1, wherein in the step 1, the power failure information collection based on marketing and distribution communication specifically comprises:
(1) collecting high-voltage power failure information;
(2) collecting low-voltage power failure information;
(3) and data acquisition based on the marketing and distribution fusion terminal.
5. The method for actively studying, judging and reporting the power failure information fault of the special transformer user according to claim 1, wherein in the step 3, the power failure fault information judgment based on the edge calculation module is that the edge calculation module is deployed at the special transformer user side to perform key monitoring analysis on the multi-source power failure information characteristics, so as to realize power failure fault positioning, and specifically comprises:
(1) power failure state monitoring
The edge computing module system monitors the running state of the special transformer outgoing line switch, the running state of the branch switch, the station area master meter and the running state of the customer electric energy meter in real time;
(2) power failure fault location
The edge calculation module can automatically judge the switch-off position of the switch causing power failure, and accurately position a fault area by using a line topological relation, so that the fault line inspection range is reduced, and the first-aid repair time is shortened.
6. The method for actively studying, judging and reporting power failure information of a special transformer user according to claim 1, wherein in step 4, power failure information is reported based on a 5G technology, specifically, after an edge calculation module accurately positions a power failure point, second-level transmission of the failure information is realized through a 5G module.
7. A special transformer user power failure information fault active study judgment and report system is characterized by comprising an acquisition module, a characteristic analysis module, a fault information judgment module and a report module;
the acquisition module is used for acquiring power failure data of a special transformer user based on the 5G module and acquiring power failure information based on marketing and distribution communication;
the characteristic analysis module is used for carrying out characteristic analysis on the power failure data of the special transformer user based on a multi-source data fusion technology aiming at the collected power failure data and power failure information of the special transformer user;
the fault information judgment module is used for judging power failure fault information based on the edge calculation module;
and the reporting module is used for reporting the power failure fault information according to the judgment result of the fault information judging module based on a 5G communication technology.
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