CN110083640B - Power outage data-based distribution room identification method and device - Google Patents

Abstract

The invention discloses a method and device for identifying a station area based on power outage data. The steps of the method include: S1. When a power outage occurs in a station area, obtain the adjacent station area within the specified range of the outage station area, and determine the difference between the station area and the outage station area. Associated associated station area; S2. Obtain the outage record data of the outage station area and the outage record data of each electric energy meter under the outage station area and the associated station area; S3. The outage record data of the outage station area and the outage station area respectively The outage record data of each electric energy meter under the district and the power outage record data of each electric energy meter under the associated station area are matched and compared, and according to the comparison result, it is determined whether the household change relationship between the outage station area and the electric energy meters under the associated station area is normal. The invention has the advantages of simple realization method, low cost, high recognition efficiency and recognition precision.

Description

A method and device for station area identification based on power outage data

technical field

The invention relates to the technical field of electric power systems, in particular to a method and device for station area identification based on power outage data.

Background technique

In the power system, the lines in the station area are intertwined and complex, and the user's electric meters are irregularly distributed. There are often situations where two or more station area transformers are together or nearby. At present, the station area ownership of the electric energy meter is usually done manually. record, and only relying on manual recording of the station area of the smart meter can easily lead to errors in making files. For example, it is very easy to make some nodes in station area 1 (the nodes shown in the circle in the figure) into the file of station area 2. This makes the household change relationship of the electric energy meters in station area 1 and station area 2 abnormal, and causes the management and planning of electricity consumption by the electricity management personnel to be unable to be accurately and reasonably implemented.

Accurately establishing the relationship between households and substations is the key to ensure accurate calculation of line loss in the station area. Using the identification method of the station area, the working station area of different carrier networks can be identified, thereby improving the accuracy of judging the relationship between households and transformers, which is beneficial to the line loss of the station area. loss management. For station area identification, the following two methods are mainly used in the prior art:

The first is to adopt the method of manual sub-line power failure first, and then check each line one by one, which is time-consuming and labor-intensive and will cause inconvenience to users.

The second is to realize the automatic identification of the station area by installing a carrier wave generator, that is, the power line sends a carrier signal containing the station area number and phase sequence code to which the terminal device belongs to each terminal device in the station area every preset time, and each power line carrier terminal device Determine the station area and phase sequence of each power line carrier terminal device according to the received carrier signal. This type of method is complicated to implement, and a carrier generator must be added, which will increase hardware costs, and can only be applied to stations where power line carrier terminals are installed.

The above station area identification method is not only complicated and time-consuming to implement, it is not suitable for occasions with high adaptability requirements, and the implementation cost is high, and additional hardware equipment such as carrier generators are required. Therefore, it is urgent to provide a station area identification method. In order to reduce the implementation complexity and implementation cost of station area identification, and at the same time ensure identification efficiency and identification accuracy.

Contents of the invention

The technical problem to be solved by the present invention is that: aiming at the technical problems existing in the prior art, the present invention provides a station area identification method and device based on power outage data with simple implementation method, low cost, high identification efficiency and identification accuracy.

In order to solve the problems of the technologies described above, the technical solution proposed by the present invention is:

A method for station area identification based on power outage data, the steps comprising:

S1. When there is a power outage in a station area, obtain the adjacent station area within the specified range of the outage station area, and determine the associated station area associated with the outage station area;

S2. Respectively obtain the power outage record data of the outage station area and the power outage record data of each electric energy meter under the outage station area and the associated station area;

S3. Matching and comparing the power outage record data of the outage station area with the outage record data of each electric energy meter under the outage station area and the power outage record data of each electric energy meter under the associated station area respectively, according to the comparison result Determine whether the household transformer relationship of each electric energy meter under the outage station area and the associated station area is normal.

As a further improvement of the present invention: in the step S3, when matching and comparing the power outage record data of the outage station area with the power outage record data of each electric energy meter subordinate to the outage station area, determine the Whether the household change relationship of each electric energy meter under the outage station area is normal, if the household change relationship of the target electric energy meter is judged to be normal, then it is determined that the target electric energy meter belongs to the said outage station area, if it is judged to be abnormal, obtain each of the associated The power outage record data of each station area, and according to the power outage record data of each associated station area, find out the station area to which the target electric energy meter belongs from the associated station area.

As a further improvement of the present invention: the step of finding the station area to which the target electric energy meter belongs in the associated station area includes: matching and comparing the power outage record data of the target electric energy meter with the power outage record data of each of the associated station areas , if the power outage record data of the target electric energy meter matches the power outage record data of the target associated station area or the deviation is within a preset range, it is determined that the target electric energy meter belongs to the target associated station area.

As a further improvement of the present invention: when acquiring the power outage record data of each of the associated stations, cluster analysis is performed on the power-on time of all electric energy meters subordinate to each of the associated stations to obtain each of the associated stations. The power-on time of the station area.

As a further improvement of the present invention: the step of determining whether the household change relationship of each electric energy meter under the outage station area is normal includes: first obtaining the power outage record data of the specified times of the target electric energy meter and the power outage record data of the outage station area Compare the power outage record data, if the matching is consistent or the deviation is within the preset range, it is determined that the relationship between the household transformer is normal; otherwise, the size between the power outage record data of each electric energy meter obtained and the power outage record data of the outage station area is judged relationship, if it is all less than, it is determined that the household change relationship of the target electric energy meter is abnormal; if it is all greater than, re-obtain the power outage record data of the specified number of times of the target electric energy meter and compare it with the power outage record data of the outage station area, according to The comparison result determines whether the household variable relationship of the target electric energy meter is normal.

As a further improvement of the present invention, the specific steps of determining whether the household change relationship of each electric energy meter under the outage station area is normal include:

S31. Obtain the power outage record data of the previous n times of the target electric energy meter, n=1, 2, 3..., and compare them with the power outage record data in the outage station area, if the match is consistent or the deviation is within the preset range If it is within, it is determined that the household variable relationship is normal, otherwise proceed to step S32;

S32. Judging the size relationship between the power failure record data of the previous n times of the target electric energy meter and the power failure record data of the power failure station area, if all are less than, it is determined that the household change relationship is abnormal; if all are greater than, transfer to execution Step S33;

S33. Obtain the power outage record data of the previous n+N times of the target electric energy meter, N=1, 2, 3..., and compare them with the power outage record data in the power outage station area respectively, if the matching is consistent or the deviation is within the preset If it is within the set range, then it is judged that the relationship between households and households is normal, otherwise proceed to step S34;

S34. Determine the size relationship between the power outage record data of the previous n+N times of the target electric energy meter and the power outage record data in the outage station area, if all are less than, determine that the relationship between the household change is abnormal.

As a further improvement of the present invention: in the step S3, when matching and comparing the power outage record data of the outage station area with the power outage record data of each electric energy meter under the associated station area, if the outage record data of the outage station area The power outage record data matches the power outage record data of the target electric energy meter subordinate to the target associated station area, or the deviation is within the preset range. The target energy meter belongs to the outage station area.

As a further improvement of the present invention: after the step S2 and before the step S3, a power outage data clock compensation step of the electric energy meter is also included, and the step includes: recording the power outage event recording time and standard of each electric energy meter collected in the step S1 The GPS clocks are compared, and the clock deviation value of each electric energy meter is calculated, and the power-off time and power-on time of each electric energy meter are corrected according to the calculated clock deviation value.

A station area identification device based on power outage data, comprising:

The associated station area determination module is used to obtain the adjacent station areas within the specified range of the outage station area when there is a power outage in the station area, and determine the associated station area associated with the outage station area;

The data acquisition module is used to obtain the power outage record data of the outage station area and the outage record data of the power outage record data of the outage station area and the electric energy meters under the associated station area respectively;

The station area identification module is used to match the power outage record data of the outage station area with the power outage record data of each electric energy meter under the said outage station area and the power outage record data of each electric energy meter under the associated station area Comparison, according to the comparison results to determine whether the household transformer relationship of each electric energy meter under the outage station area and the associated station area is normal.

A computer-readable storage medium storing a computer program, the computer program implements the above method when executed.

Compared with the prior art, the present invention has the advantages of:

1. The present invention first determines the associated station areas within the specified range of the outage station area, and collects the power outage record data of the outage station area, the power outage record data of each electric energy meter under the outage station area, and the power outage events of each electric energy meter under the associated station area The number of records is matched and compared, and the power outage data of the outage station area, the electric energy meter under the outage station area, and the electric energy meter under the associated station area are integrated to identify the station area to which the electric energy meter belongs, and the power outage data of the station area can be fully utilized to achieve fast and efficient Station area identification, and the operation is simple and efficient, without additional hardware equipment, which can greatly reduce the implementation cost.

2. The present invention can quickly and accurately find out all household substations in the outage station area and associated station area by making full use of the power outage record data of the outage station area and the associated station area and the power outage data of each electric energy meter in the station area for matching and comparison. The energy meter with an abnormal relationship is identified, and the correct subordinate area of the abnormal energy meter is identified at the same time.

3. The present invention further compares and judges the power outage record data of the outage station area with the power outage record data of each electric energy meter in the outage station area, and can quickly find out the electric energy meter with an abnormal household transformer relationship in the outage station area, and at the same time combine the associated station area Complementary matching and comparison of outage record data can quickly find out the correct affiliated station area of the abnormal electric energy meter from the associated station area.

4. The present invention further collects the power outage record data of the acquisition terminal of the outage station area when adding or transforming the target station area, station area plan or fault power outage, and operating station area respectively, and penetrates each electric energy under the outage station area. It can be compared with the power outage records of the electric energy meters under the associated station area, and the household change relationship can be verified when adding or transforming the target station area, and can be realized by using the planned or faulty power outage of the station area, and the power outage event during the operation of the station area. User change relationship verification.

Description of drawings

Figure 1 is a schematic diagram of the principle of anomalous household-to-variety relationships in the station area.

Fig. 2 is a schematic diagram of the implementation flow of the station area identification method based on power outage data in this embodiment.

Fig. 3 is a schematic diagram of the execution flow between systems when realizing the verification of the relationship between households and households in the specific application embodiment of the present invention.

Fig. 4 is a schematic diagram of a detailed process for realizing station area identification in a specific application embodiment of the present invention.

detailed description

The present invention will be further described below in conjunction with the accompanying drawings and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

As shown in Figure 2, the steps of the station area identification method based on power outage data in this embodiment include:

S1. Determination of the associated station area: when there is a power outage in the station area, obtain the adjacent station area within the specified range of the outage station area, and determine the associated station area associated with the outage station area;

S2. Data acquisition: respectively obtain the outage record data of the outage station area and the outage record data of each electric energy meter under the outage station area and the associated station area;

S3. Station area identification: Match and compare the outage record data of the outage station area with the outage record data of each electric energy meter under the outage station area and the outage record data of each electric energy meter under the associated station area, and determine the outage according to the comparison result. Whether the household variable relationship of the electric energy meters under the station area and the associated station area is normal.

If the relationship between household substations in the station area is normal, the electric energy meters under the station area should be consistent with the records of blackout events in the station area, and the electric energy meters with abnormal relationship between household substations in the station area are likely to belong to nearby Adjacent station areas, this embodiment utilizes the above characteristics, by first determining the associated station areas within the specified range of the outage station area, respectively collecting the power outage record data of the outage station area, the power outage record data of each electric energy meter under the outage station area, and the associated station area Match and compare the number of power outage event records of the subordinate electric energy meters, and identify the station area to which the electric energy meter belongs by integrating the power outage data of the outage station area, the electric energy meters subordinate to the outage station area, and the associated station area, which can make full use of the station area The power outage data realizes fast and efficient station area identification, and the operation is simple and efficient, without additional hardware equipment, which can greatly reduce the implementation cost.

In this embodiment, the power outage record data is specifically the power outage record time, including power outage time and power on time. Of course, other power outage record parameters can be set according to actual needs to further improve the verification accuracy.

In this embodiment, the adjacent station areas within the specified distance of the outage station area are obtained first, and the associated station area is obtained. The power outage record data of the outage station area is collected through the station area terminal, and the power consumption information collection system automatically penetrates the outage station area and the associated station area. The power outage records of the subordinate energy meters in the station area are collected to obtain the power outage record data of each electric energy meter, and the power outage record data of the collected power outage records are used to identify the station area, so as to use the power outage/power-on events of the collection terminal, smart energy meter and TTU in the station area The recording function is used to quickly judge the corresponding relationship of the household transformer of the electric energy meter in the station area.

In this embodiment, when adding or transforming the target station area, it also includes the console area to perform a specified duration of stop/power transmission operation, and record the time point of the stop/power operation, and perform steps S1 to S3 to Or transform the target station area to verify the relationship between households and households. When adding or renovating the target station area, take the initiative to control the short-term power outage/transmission operation, record the power outage time at this time, and then update the household change relationship of the station area according to the above method, without re-executing the complicated station area The district identification process can efficiently complete the verification of the relationship between newly added or renovated station districts and households.

In the specific application example, when adding or transforming the target station area, after the station area meets the power transmission conditions, the short-term power-off/power-transmitting operation of the household substation check is added, and the power-off transmission is recorded after a short period of time. At the point in time, send the station areas that need to be checked and the check time interval; after receiving the check task, collect the power outage record data according to the above verification method, complete the identification and verification of the household change relationship, and generate the household change relationship correspondence table and household variation The relevant information is synchronously fed back to the production PMS system.

In this embodiment, when the target station district performs the stoppage/power supply according to the specified plan or a failure stoppage/power supply event occurs, it also includes recording the time point of the stoppage/power supply operation after the stoppage/power supply operation is completed, and performing step S1 ~S3 uses station plan or fault power outage data to verify the relationship between households in the target station area, and realizes the passive power outage verification of the operating station area. It can make full use of the planning and fault power outage data during the operation of the station area to realize the household change relationship. check.

In the above-mentioned passive power outage check in this embodiment, specifically, only one distribution transformer under the same line has a power outage at the same time, and the power outage duration reaches the preset interval (such as 8 minutes, which can be configured according to time requirements) into the station area that needs to be checked. range of the platform area.

In this embodiment, it also includes identifying the power outage events of the electric energy meters/collection terminals at each gate in the target station area during the operation of the target station area. When the power outage event is recognized, turn to steps S1-S3 to actively monitor the target station The district performs the verification of the relationship between households and substations, and realizes the active power outage verification of the operation station area. It can make full use of the real-time power outage data of the meters and terminals at each gate during the operation of the station area to actively check the relationship between households and substations, so that the relationship between households and substations changes The change can be detected in time to ensure the real-time accuracy of the household change relationship in the station area.

In a specific application embodiment, when various planned or fault outage/power transmission events occur during the operation of the station area, the recorded data of the plan and fault outage/power transmission events are fully utilized, and the household transformer is increased in combination with the planned and fault power outage events. Check, after the power outage operation is completed, record the power outage time point after the power outage is specified for a short period of time, and send the station area and check time interval that need to be checked; collect power outage record data according to the above verification method, and complete the household transformation Relationship identification and verification, generating household variation relationship correspondence table and household variation variation table, relevant information is synchronously fed back to the production PMS system.

In a specific application embodiment, the power consumption information collection system actively identifies the power outage event of the gateway meter/terminal in the station area, and after recognizing the power outage event, triggers the collection task of the smart meter power outage event in the station area, and performs the household transformation according to the above-mentioned checking method Identify and check the relationship, generate the household change relationship correspondence table and the household change change table, and push them to the application system and the production PMS system.

This embodiment collects the power outage record data of the acquisition terminal of the outage station area when adding or transforming the target station area, station area plan or failure power outage and operation station area respectively, and penetrates each electric energy meter and The power outage records of the electric energy meters under the associated station area can be compared, and the household change relationship can be verified when adding or transforming the target station area, and the household change can be realized by using the planned or faulty power outage of the station area, and the power outage event during the operation of the station area. Relationship check.

In a specific application example, the power consumption information collection system, the application system, and the PMS system cooperate to complete the verification of the above-mentioned relationship between households and transformers. As shown in Figure 3, the PMS system generates daily operation and maintenance plan power outage information, and the application system Send it to the power consumption information collection system. The power consumption information collection system receives the power outage information of the daily operation and maintenance plan, starts to check the relationship between households, generates a directional power outage application work order in the station area, and transmits it to the PMS system through the application system. The PMS system combines power outages Plan and arrange special power outages. After the power outage operation is executed, the application system receives the feedback of the power outage application in the station area and sends it to the user information collection system. For the power outage records of the terminal and the electric energy meter, after identifying the station area according to the above steps S1~S3, determine whether there is an abnormal household change relationship. .

In step S2 of this embodiment, when the collected outage record data of the electric energy meter and the clock collection success rate of the electric energy meter reach the corresponding preset threshold at the same time, turn to step S3. If the success rate of clock and meter power-off record collection of the meter is too low, it will affect the verification and analysis results of the household change file. In this embodiment, the meter that fails to be collected is firstly re-acquired according to the preset re-acquisition period. Improve the success rate of energy meter power-off event acquisition, and only when the power-off record and clock acquisition success rate of the energy meter reach a certain preset standard at the same time, the subsequent household change verification steps are performed to further ensure the accuracy of household change verification.

There may be a deviation in the clock of the electric energy meter. In this embodiment, after step S2 and before step S3, the clock compensation step of the power failure data of the electric energy meter is also included to compensate and correct the power failure record data of the electric energy meter, so as to ensure the power-off and power-on event data of the electric energy meter The reliability and effectiveness of the power outage data clock compensation of the electric energy meter specifically includes: comparing the recorded time of the power outage event of each electric energy meter collected in step S1 with the standard GPS clock, and calculating the clock deviation value of each electric energy meter, according to the calculation Correct the power-off time and power-on time of each electric energy meter based on the clock deviation value obtained.

In the specific application example, the master station processes the event data of power-off and power-on events of the user's electric energy meter to ensure that the successfully collected electric energy meter event data is processed into valid data that can participate in the verification of the relationship between households. After the power-on event on the energy meter in the district, compare the time of the penetrated energy meter with the standard GPS clock to calculate the clock deviation of the energy meter, and correct the power-off time and power-on time of the energy meter power-on event according to the deviation value, and correct the expression The formula is:

Corrected outage time = original outage time + clock offset value (1)

Corrected power-on time = original power-on time + clock offset value (2)

There will also be a clock deviation when the terminal reports a power outage event. In this embodiment, if the terminal clock deviation does not exceed the preset K minutes, the above-mentioned household change relationship verification is started. If the terminal clock deviation exceeds the preset K minutes, it is determined that there is no household change relationship. Check the conditions of the business, do not perform the verification of the relationship between households and variables, and further ensure the reliability and effectiveness of the relationship between households and variables.

In step S3 of this embodiment, when the power outage record data of the outage station area is matched and compared with the outage record data of each electric energy meter under the outage station area, it is specifically determined whether the household change relationship of each electric energy meter is normal according to the matching comparison result, if If the household change relationship of the target electric energy meter is determined to be normal, it is determined that the target electric energy meter belongs to the outage station area. Find the station area to which the target electric energy meter belongs in the area. By first comparing and judging the power outage record data of the outage station area with the power outage record data of each electric energy meter in the outage station area, it is possible to find out the electric energy meter with an abnormal relationship between households and substations in the outage station area, and then combine the power outage record data of the associated station area to determine The station area to which the abnormal electric energy meter belongs can quickly identify the electric energy meter with an abnormal household transformer relationship in the outage station area, and at the same time quickly find out the correct subordinate station area of the abnormal electric energy meter.

In this embodiment, the step of finding the station area to which the target electric energy meter belongs from the associated station area includes: matching and comparing the power outage record data of the target electric energy meter with the power outage record data of each associated station area, if the target electric energy meter If the power outage record data of the target associated station area matches or the deviation is within the preset range, it is determined that the target electric energy meter belongs to the target associated station area. If the abnormal electric energy meter with abnormal relationship between households in the outage station area matches the power outage record data of a certain associated station area, then it shows that the abnormal electric energy meter belongs to the associated station area. After changing the abnormal electric energy meter with an abnormal relationship, the power outage data of the associated station area is used for supplementary matching and comparison, and the correct affiliated station area of the abnormal electric energy meter can be quickly located from the associated station area.

In this embodiment, when obtaining the power outage record data of each associated station area, the power-on time of each associated station area is obtained by performing cluster analysis on the power-on time of all electric energy meters subordinate to each associated station area, that is, Based on the outage record data of each associated station area, the power-on time of each associated station area can be accurately obtained based on the cluster analysis method. The cluster analysis can use the required clustering algorithm according to actual needs.

In this embodiment, the step of judging whether the household change relationship of each electric energy meter is normal includes: first obtaining the power outage record data of the specified times of the target electric energy meter and comparing it with the power outage record data of the outage station area, if the matching is consistent or the deviation is within the preset range If it is within , it is judged that the relationship between household transformers is normal, otherwise it is judged that the magnitude relationship between the power outage record data of each electric energy meter acquired and the power outage record data of the outage station area, if all are less than, it is judged that the household transformer relationship of the target electric energy meter is abnormal , if all are greater than, reacquire the power outage record data of the specified times of the target electric energy meter and compare it with the outage record data of the outage station area, and judge whether the household change relationship of the target electric energy meter is normal according to the comparison result. If the record time of each power outage of the electric energy meter is consistent with the record time of power outage in the station area, it indicates that the household transformer relationship is normal. The recorded time of each power outage on the meter is greater than the recorded time of power outages in the station area. Due to the time difference in the reporting of power outages, the relationship between households and transformers may be normal or abnormal. First obtain the power outage record time of some times of the electric energy meter and compare it with the power outage record time of the station area. If the match is consistent or all are less than, then determine whether the household transformer relationship is abnormal. If all are greater than, then obtain the power outage record time of some times for further processing In comparison, it is possible to quickly judge whether the relationship between households and substations is abnormal by using the recorded data of each power outage of the electric energy meter.

In this embodiment, the specific steps for determining whether the household variable relationship of each electric energy meter is normal include:

S31. Obtain the power outage record data of the previous n times of the target electric energy meter, n=1, 2, 3..., and compare them with the power outage record data in the power outage station area respectively. If the matching is consistent or the deviation is within the preset range, then judge The household variable relationship is normal, otherwise proceed to step S32;

S32. Judging the size relationship between the power failure record data of the previous n times of the target electric energy meter and the power failure record data of the power outage station area, if it is all less than, it is determined that the relationship between the households is abnormal; if it is all greater than, go to step S33;

S33. Obtain the power outage record data of the previous n+N times of the target electric energy meter, N=1, 2, 3..., and compare them with the power outage record data in the outage station area respectively. If the matching is consistent or the deviation is within the preset range, Then it is determined that the household variable relationship is normal, otherwise proceed to step S34;

S34. Judging the size relationship between the previous n+N power outage record data of the target electric energy meter and the power outage record data of the outage station area, if all are less than, it is determined that the relationship between the household transformer is abnormal.

In the specific application example, the above-mentioned n can be taken as 3, and N is taken as 6, that is, firstly, the recorded time of the first, 2, and 3 power outages of the electric energy meter is compared, and if the recorded time of the first, 2, and 3 electric power outages of the electric energy meter are all greater than For the power outage record time of the station area, the power outage record time of the first 4 to 10 times of the electric energy meter is obtained for comparison. The values of n and N can be configured according to actual needs.

In this embodiment, it is determined that the relationship between household changes is pending, and the power outage record data specified by the target electric energy meter is further obtained and compared with the power outage record data of the target station area. If they are consistent or all are less than, it is determined that the household change relationship is abnormal. Re-execute the above steps until it is judged that the relationship between the out-of-home transformer is normal or abnormal, exit the calibration, and finally judge the relationship between the out-of-home transformer by using the recorded data of multiple power outages of the electric energy meter.

In step S3 of this embodiment, when the power outage record data of the outage station area is compared with the power outage record data of each electric energy meter subordinate to the associated station area, if the power outage record data of the outage station area is consistent with the target electric energy meter under the associated station area If the matching of outage record data is consistent or the deviation is within the preset range, it is determined that the target electric energy meter under the associated station area belongs to the outage station area, and the electric energy meter in the outage station area that is wrongly classified to the associated station area can be quickly found.

Through the above steps, it is possible to quickly and accurately find out the electric energy meters with abnormal relationship between all households in the outage station area and the associated station area, and at the same time identify the correct affiliated station area of the abnormal electric energy meter.

In the specific application embodiment of the present invention, the unplanned power outages and directional power outages such as daily operation and maintenance planned power outages and fault power outages in the station area are used to collect the power outage events of the acquisition terminal in the relevant station area and the power outage records of the relevant electric energy meters, as shown in Figure 4. The detailed steps to realize the station area identification are as follows:

Step 1: Obtain the associated station area for household change verification

The power consumption information collection system uses the collection terminal to perceive the power outage in the station area, and then obtains the adjacent station area within the specified distance of the outage station area to obtain the associated station area.

Step 2: Acquisition of power outage records of electric energy meters

The power consumption information collection system automatically penetrates the outage record data of the outage station area and the electric energy meters of the associated station area.

Step 3: Clock Compensation for Energy Meter Power Off and Power On Events

Comparing the time of the penetrated electric energy meter with the standard GPS clock to calculate the clock deviation of the electric energy meter, and using the clock deviation to correct the power-off time and power-on time recorded by the electric energy meter.

Step 4: Collect terminal power outage events and match power meter power outage records

(1) Matching of collection terminal and energy meter power-on events in outage station area

Match the recording time of the power-on and power-off events of the collection terminal in the outage station area and the electric energy meter. Based on the power-on time of the collection terminal in the station area, compare the power-on time of all electric energy meters in the same station area. If the collection terminal If the difference between power-on time and power-on time of the electric energy meter (1, 2, 3 times) in the station area is within the preset range, it is determined that the household transformer relationship is normal; if (1, 2, 3 times) power-on time of the electric energy meter If they are all less than the power-on time of the collection terminal, it is determined that the household transformer relationship is abnormal; if the power-on time of the electric energy meter (1, 2, 3 times) is greater than the power-on time of the collection terminal, it will automatically penetrate the electric energy meter (4, 5, ..., 10 times) power-on time, after the penetration is completed, continue to compare the power-on time of the acquisition terminal and the power-on time of the electric energy meter, if the power-on time deviation of the electric energy meter (4, 5, ..., 10 times) is within the preset range If the power-on time of the electric energy meters in the electric energy meter (4, 5, ..., 10 times) is all longer than the power-on time of the collection terminal, it is determined that the household variable relationship is pending and further judgment is required.

(2) Supplementary matching of power-off and power-on events of electric energy meters in the associated station area

Based on the power-on time of the collection terminal in the outage station area, compare it with the power-on time of all electric energy meters under the associated station area. If the power-on time of the electric energy meter under the associated station area is the same If the deviation of the power-on time of the power-on time record is within the preset range, it is determined that the relationship between household transformers is abnormal, that is, the energy meter belongs to the power-off station area; Class analysis, to obtain the power-on time of the associated station area, and compare the power-on time of the abnormal household-change relationship with the power-on time of each associated station area. If the power-on time deviation is within the preset range, it is determined that the household transformer relationship abnormal electric energy meter belongs to the corresponding associated station area.

In this embodiment, after step S3, a step of filtering the validity of the household-change relationship is also included. The steps include: if the abnormal ratio of the household-change relationship is less than the preset threshold, then it is determined that the household-change check result is valid; if the abnormal ratio of the household-change relationship is greater than the preset Threshold, it is determined that a large number of household-change relationships are suspected to be abnormal, and the household-change check results are suspicious, and a second check is required, and steps S1 and S2 are re-executed for the second check. The specific ratio of household-change relationship abnormalities can be expressed as follows Calculated to get:

Abnormal rate of household change relationship = abnormal number of household change relationship / number of users involved in household change verification in station area (3)

In this embodiment, by taking the station area as the statistical dimension, the effectiveness of the checking results of the household-change relationship is filtered. When the household-change checking result reaches a certain value, it indicates that there are a large number of suspected abnormalities in the household-change relationship, and then a second check is performed. for further verification.

In this embodiment, the station area identification device based on power outage data includes:

The associated station area determination module is used to obtain the adjacent station areas within the specified range of the outage station area when there is a power outage in the station area, and determine the associated station area associated with the outage station area;

The data acquisition module is used to separately obtain the power outage record data of the outage station area and the outage record data of each electric energy meter under the outage station area and the associated station area;

The station area identification module is used to match and compare the power outage record data of the outage station area with the power outage record data of each electric energy meter under the outage station area and the power outage record data of each electric energy meter under the associated station area, and determine according to the comparison result Whether the household transformer relationship of each electric energy meter subordinate to the outage station area and the associated station area is normal.

The device for identifying a station area based on power outage data in this embodiment corresponds to the above method for identifying a station area based on power outage data, and will not be repeated here.

In this embodiment, a computer-readable storage medium stores a computer program, and when the computer program is executed, the above method is realized.

The above are only preferred embodiments of the present invention, and do not limit the present invention in any form. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention shall fall within the protection scope of the technical solution of the present invention.

Claims (10)

1. A station district identification method based on power outage data, is characterized in that, step comprises: S1. When there is a power outage in a station area, obtain the adjacent station area within the specified range of the outage station area, and determine the associated station area associated with the outage station area; S2. Respectively obtain the power outage record data of the outage station area and the power outage record data of the electric energy meters under the outage station area and the associated station area; S3. Matching and comparing the power outage record data of the outage station area with the outage record data of each electric energy meter under the outage station area and the power outage record data of each electric energy meter under the associated station area respectively, according to the comparison result Determine whether the household transformer relationship of each electric energy meter under the outage station area and the associated station area is normal. 2. The station area identification method based on power outage data according to claim 1, characterized in that, in the step S3, the power outage record data of the outage station area is combined with the electric energy meters of each electric energy meter under the outage station area When the power outage record data is matched and compared, it is determined according to the matching and comparison results whether the household change relationship of each electric energy meter subordinate to the outage station area is normal. If it is determined to be abnormal, obtain the power outage record data of each of the associated station areas, and find out the station to which the target electric energy meter belongs from the associated station area according to the power outage record data of each of the associated station areas Area. 3. The station area identification method based on power outage data according to claim 2, characterized in that, the step of finding out the station area to which the target electric energy meter belongs in the associated station area comprises: storing the power outage record data of the target electric energy meter Matching and comparing with the power outage record data of each associated station area respectively, if the power outage record data of the target electric energy meter is consistent with the power outage record data of the target associated station area or the deviation is within the preset range, then it is determined that the target electric energy meter belongs to Target associated zone. 4. The station area identification method based on power outage data according to claim 2, characterized in that, when the power outage record data of each of the associated station areas is acquired, all electric energy meters subordinate to each of the associated station areas Cluster analysis is performed on the power-on time to obtain the power-on time of each associated station area. 5. The station area identification method based on power outage data according to claim 2 or 3 or 4, wherein the step of determining whether the household change relationship of each electric energy meter under the said outage station area is normal comprises: first Obtain the power outage record data specified by the target electric energy meter for comparison with the power outage record data in the outage station area. If the match is consistent or the deviation is within the preset range, it is determined that the relationship between the household and power transformers is normal; If the size relationship between the power failure record data of the meter and the power failure record data of the power failure station area is all less than, it is determined that the household change relationship of the target electric energy meter is abnormal; The power outage record data is compared with the power outage record data in the outage station area, and it is determined whether the household change relationship of the target electric energy meter is normal according to the comparison result. 6. the station area identification method based on power outage data according to claim 5, is characterized in that, whether the household-changing relationship of each electric energy meter under the said outage station area of said determination is normal concrete steps comprises: S31. Obtain the power outage record data of the previous n times of the target electric energy meter, n=1, 2, 3..., and compare them with the power outage record data in the outage station area, if the match is consistent or the deviation is within the preset range If it is within, it is determined that the household variable relationship is normal, otherwise proceed to step S32; S32. Judging the size relationship between the power failure record data of the previous n times of the target electric energy meter and the power failure record data of the power failure station area, if all are less than, it is determined that the household change relationship is abnormal; if all are greater than, transfer to execution Step S33; S33. Obtain the power outage record data of the previous n+N times of the target electric energy meter, N=1, 2, 3..., and compare them with the power outage record data in the power outage station area respectively, if the matching is consistent or the deviation is within the preset If it is within the set range, then it is judged that the relationship between households and households is normal, otherwise proceed to step S34; S34. Determine the size relationship between the power outage record data of the previous n+N times of the target electric energy meter and the power outage record data in the outage station area, if all are less than, determine that the relationship between the household change is abnormal. 7. The station area identification method based on power outage data according to any one of claims 1 to 4, characterized in that, in the step S3, the power outage record data of the outage station area is combined with the associated station area When the power outage record data of each subordinate electric energy meter is matched and compared, if the power outage record data of the outage station area is consistent with the power outage record data of the target electric energy meter subordinate to the target associated station area or the deviation is within the preset range, the target is determined The household change relationship of the target electric energy meter subordinate to the associated station area is abnormal, and it is determined that the target electric energy meter subordinate to the target associated station area belongs to the outage station area. 8. The station area identification method based on power outage data according to any one of claims 1 to 4, characterized in that, after the step S2 and before the step S3, the power outage data clock compensation step of the electric energy meter is also included, and the step Including: comparing the blackout event recording time of each electric energy meter collected in the step S1 with a standard GPS clock, and calculating the clock deviation value of each electric energy meter, and performing a test on each electric energy meter according to the calculated clock deviation value Correct the power-off time and power-on time. 9. A station area identification device based on power outage data, characterized in that it comprises: The associated station area determination module is used to obtain the adjacent station areas within the specified range of the outage station area when there is a power outage in the station area, and determine the associated station area associated with the outage station area; The data acquisition module is used to obtain the power outage record data of the outage station area and the outage record data of the power outage record data of the outage station area and the electric energy meters under the associated station area respectively; The station area identification module is used to match the power outage record data of the outage station area with the power outage record data of each electric energy meter under the said outage station area and the power outage record data of each electric energy meter under the associated station area Comparison, according to the comparison results to determine whether the household transformer relationship of each electric energy meter under the outage station area and the associated station area is normal. 10. A computer-readable storage medium storing a computer program, the computer program implements the method according to any one of claims 1-8 when executed.

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