CN113033666B - Platform region user transformer identification method integrating collected service and load design rule - Google Patents
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Abstract
The invention belongs to the field of power topology big data analysis, and particularly relates to a transformer substation identification method integrating collected service and load design rules. The method comprises the following steps: s1: acquiring a platform region acquisition file and platform region user branch data; s2: establishing an acquisition topology analysis model; s3: analyzing acquisition outliers, measuring point outliers, metering point outliers and acquisition outliers based on user branches by using an acquisition topology analysis model, and diagnosing outliers and cross-acquisition conditions; s4: and outputting the analysis result according to a standard output format. The invention utilizes the situation outlier data analysis method of data analysis and combines the collection business rule and the user load design rule of the electricity information collection system to realize the identification of the transformer substation. The invention allows reasonable special cases or rules to be introduced into the actual power grid actual service by improving the data analysis method to fit the power grid service, reduces the use of devices such as collectors and the like, reduces the cost and improves the working efficiency.
Description
Technical Field
The invention belongs to the field of power topology big data analysis, and particularly relates to a transformer substation identification method integrating collected service and load design rules.
Background
The power user electricity consumption information acquisition system (power user ELECTRIC ENERGY DATA acquisition system) is a system for acquiring, processing and monitoring electricity consumption information such as electric quantity, voltage, current and the like of a user electric energy meter in real time through an acquisition terminal. Because the acquisition system is built on the basis of an actual power supply network, and the user information is generally finished in batches in synchronization according to the power supply area during the construction, a certain association relationship exists between the topological information generated by the acquisition of the transformer area and the user, the acquired file information and the actual power supply network topology.
The electricity information is acquired in various acquisition modes such as full carrier acquisition, half carrier acquisition (carrier +485), 485 acquisition, micropower wireless mode and the like, and the influence degree of different acquisition modes on the consistency of the acquisition topology and the power supply topology is different. The full-load mode is characterized in that the communication channel is a power line, the consistency degree of the acquisition topology and the power supply topology is highest, the communication channels of the 485 mode and the micro-power wireless mode are irrelevant to the power line, whether the distance between the acquisition terminal and the electric energy meter is acquired by a certain acquisition terminal or not is relevant to whether a building is shielded, and the acquisition topology and the power supply topology are the lowest in consistency.
In a given dataset, one data object is a context outlier that deviates significantly from other objects if it pertains to the particular context of the object. Context outliers are also called conditional outliers because of their conditional dependence on the chosen context. In user change identification with context outliers, a particular selected context may be a combination of 2 or 3 of the 3 conditions that the user is collected by a certain collection terminal, the user belongs to a certain user branch, and the user belongs to a certain zone.
In the existing scheme for carrying out user change identification through acquisition, the characteristic that whether a certain phase of a terminal and a carrier command of the phase electric energy meter synchronously cross zero or not is acquired at the zero crossing moment of voltage can be generally used for carrying out automatic identification of a home zone of a user meter. The principle is that when load current reaches a user through a power supply line, the voltage amplitude and the phase change can be inevitably caused due to the fact that impedance exists in the power supply line, a carrier module collects electricity consumption information of the user electric energy meter, and communication between a collection terminal and the electric energy meter is achieved through overlapping carrier signals in a 3.3ms interval at the zero crossing time of the voltage. Because of the different loading of the cells, there will be an offset value between the in-phase voltage phases of the different cells, which is typically greater than 150us.
In the existing scheme for realizing the identification of the household transformer in the station area by relying on the acquisition carrier module, because the equipment is relied on, such as the quality of the equipment is not too close, or the manufacturers of the electric energy meter concentrators are not the same, the accuracy of the household transformer identification can be limited, and meanwhile, when the phase offsets of different station areas do not reach the threshold value or have signal interference, the household transformer can have identification errors.
Disclosure of Invention
Aiming at the problems existing in the prior art, the invention provides a platform region user transformer identification method which is not dependent on equipment and does not need to carry out new equipment investment or upgrading and integrates the acquisition business and the load design rule.
The invention is realized in such a way that the platform region user transformer identification method integrating the collected service and the load design rule is characterized in that: the method comprises the following steps:
s1: acquiring a platform region acquisition file and platform region user branch data;
S2: establishing an acquisition topology analysis model according to the archive data and the branch data of the users in the area;
s3: analyzing acquisition outliers, measuring point outliers, metering point outliers and acquisition outliers based on user branches by using an acquisition topology analysis model, and diagnosing outliers and cross-acquisition conditions;
s4: and outputting the analysis result of the acquisition topology analysis model according to a standard output format.
And S1, diagnosing the adjacent area by analyzing the archival data before the process is carried out.
The adjacent area data comprises area name adjacent, acquisition adjacent and/or power supply and distribution adjacent user file data and whether a user list is successfully acquired.
The collection outlier refers to the situation that 2 electric energy meters of the transformer areas are collected by one collection terminal, and if the number of the user meters of the transformer area a and the transformer area b collected by one terminal is greatly different, the difference value is recorded as k, and the users with small number can be regarded as outlier users.
The outlier of the measuring point means that the electricity consumption of the electric energy meter is successfully collected due to the technical or human factors, but the attribution relation of the electric energy meter and the platform area is wrong, no more than 2 outlier measuring points belonging to the platform area b appear in the increment number, and the platform areas of the front and rear measuring points of the outlier measuring point are platform area a.
The metering point outlier refers to that when a user belonging to another platform appears in the regular acquisition point number belonging to one platform, the possibility of error occurrence of the user change relation of the platform is very high, and the probability of the user belonging to the platform is very high.
The collection outlier based on the user branch refers to that in the user branch formed by a plurality of users, the metering points may not show the regularity characteristic, but due to the technical limitation of the collection mode, the electricity consumption of the users of the same user branch is successfully collected by a plurality of collection terminals, and the terminals may belong to different areas; the dual-power user branches, because the 2 metering points are positioned together, when an acquisition network is built, in order to save the cost, the 2 metering points of the user are all acquired by 1 acquisition terminal, and the above 2 conditions are diagnosed as cross acquisition instead of user-variable errors.
The invention has the advantages and positive effects that: the invention utilizes the situation outlier data analysis method of data analysis, combines the collection business rule and the user load design rule of the electricity information collection system, introduces the concept of the adjacent station area and puts forward 3 adjacent station area classification rules, and puts forward 4 methods of collection outlier, measuring point outlier, metering point outlier, collection outlier based on user branches and the like, and can realize the station area user change identification through a data analysis mode.
The invention allows reasonable special cases or rules to be introduced into the actual power grid actual service by improving the data analysis method to fit the power grid service, reduces the use of devices such as collectors and the like, reduces the cost and improves the working efficiency.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a waveform diagram of carrier zero crossing synchronous transmission in the background of the invention;
FIG. 3 is a waveform diagram of zero crossing phase shift in the background of the invention;
FIG. 4 is a user classification diagram of the present invention;
FIG. 5 is a schematic diagram of the proximity of the acquisition and power supply and distribution design of the present invention;
FIG. 6 is an outlier schematic of the present invention;
fig. 7 is a block diagram of a user variable identification of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following examples in order to make the objects, technical solutions and advantages of the present invention more apparent.
Example 1:
as shown in fig. 1, the present invention is implemented by a method for identifying a substation user by fusing collected service and load design rules, comprising the following steps:
s1: acquiring a platform region acquisition file and platform region user branch data;
S2: establishing an acquisition topology analysis model according to the archive data and the branch data of the users in the area;
s3: analyzing acquisition outliers, measuring point outliers, metering point outliers and acquisition outliers based on user branches by using an acquisition topology analysis model, and diagnosing outliers and cross-acquisition conditions;
s4: and outputting the analysis result of the acquisition topology analysis model according to a standard output format.
S1, diagnosing the adjacent area through archival data analysis before proceeding.
The neighborhood data includes neighborhood name neighborhood, acquisition neighborhood, and or power distribution neighborhood region data.
Since user-change errors generally occur in neighboring cells, neighboring cell concepts are introduced in data analysis, including cell name proximity, acquisition proximity, and power supply and distribution proximity.
When the power supply design of the transformer area is carried out, the power supply transformer of the transformer area is used as 10 kilovolt distribution equipment, the naming of the power supply transformer of the transformer area is required to be in compliance with corresponding naming rules, such as a 10kVABC-1 distribution transformer and a 10kVABC-2 transformer, and ABC is used as a common character string of 2 transformer area transformers, and the character string indicates that the distance of the character strings is relatively close or the character strings are in the same cell. Such a relational proximity zone is a zone name proximity.
When the acquisition system is built, the user electric energy meters of a plurality of nearby areas without blocking of terminal accessories can be acquired in a micropower wireless mode due to the technical characteristics of the acquisition mode. Such a relational proximity zone is a collection proximity.
The electric loads are classified into primary loads, secondary loads and tertiary loads according to the reliability of power supply and the degree of loss or influence caused by political and economic interruption of power supply. For primary and secondary users, dual power is provided in the electrical design of the user load, and 2 zones providing dual power are geographically adjacent due to the limitation of the zone power radius. Such relational proximity zones are power supply and distribution design proximity. If three-phase important users may be powered by 2 zones with completely different names, elevator users of a high-rise building may be powered by zones adjacent to the 2 names.
Fig. 4 shows a schematic diagram of acquisition proximity and power supply and distribution design proximity, with a zone a/B/C may or may not be proximate in name. User transformation errors generally occur in adjacent areas, and the adjacent areas are analyzed and diagnosed through the file data, so that the area of the user belonging area can be reduced, and the identification accuracy can be improved.
In a power supply design of a transformer area, a power supply path is generally supplied from a transformer- > power supply line (overhead line or cable) - > power distribution equipment (pole or branch box or distribution box or inter-distribution box) - > power supply line- > meter box (centralized or single meter box) - > electric energy meter- > user.
For users under the transformer area, according to the electricity utilization address characteristics, the collection characteristics and the electricity utilization characteristics, the users (resident, charging piles and non-resident public facility users) can be divided into six subclasses (building resident private user branches, building elevator public light user branches, building water pump charging piles and other user branches, address gathering user branches, key collection user branches and isolated address user branches). As shown in table 1.
TABLE 1 user branch classification under a zone
Injection ①: in the private users of building residents in the scheme, the single-box user is not regarded as a final-stage user branch, and the centralized meter box and the lower users thereof can be regarded as a final-stage user branch.
Injection ②: the aggregate address user branch refers to a house of 12 convoys with the same keywords, such as linkangjingjingjingjingjingjingjingjingjingjing, in the user addresses of a plurality of users.
Injection ③: the aggregate address subscriber branch may be comprised of a plurality of final subscriber branches.
The method for identifying the user change relation by the acquisition mode can be classified into four types. Comprising the following steps: acquisition outliers, metering point outliers, measuring point outliers, and acquisition outliers based on user branches.
1. Collecting outliers
The electricity consumption of the user electric energy meter is collected through the collecting terminal. When an acquisition system is built, except 485 and micropower wireless modes, an acquisition service generally requires an acquisition terminal to acquire electric energy meters under one station area. However, in the actual operation process, the full-load or half-load mode is an important cause of the user change relation error because the technical characteristics of the carrier communication mode are that if 2 station areas are zero, the station area A can successfully collect the electric energy meter of the station area B.
For the situation that an acquisition terminal acquires 2 electric energy meters of a platform, because the acquisition service requires one terminal to acquire a table of the platform, if the number of the user tables of the platform a and the platform b acquired by one terminal is very different, the difference value is recorded as k, a small number of users (not more than j) can be regarded as outlier users, the possibility that the users belong to the platform with more user tables is high, and the higher the k value is, the possibility that the number of the users belong to the platform with more user tables is high. The smaller the value of j, the higher the likelihood of identifying accuracy.
2. Outliers of measurement points
When the electricity consumption information acquisition system is used for designing an information system, the acquisition terminal establishes an association relation with the electric energy meter through the acquisition object meter, namely the acquisition points, the measurement points and the electric energy meter are in one-to-one correspondence to realize successful acquisition of electricity consumption information of the electric energy meter.
Because of the technical or human factors, the electricity consumption information of the electric energy meter is successfully collected, but the attribution relation of the electric energy meter and the station area is wrong, and because the measuring point data set is an increasing positive integer, the measuring points are classified according to the period corresponding to the attribution station area of the electric energy meter of the user, as shown in the table 2. If not more than 2 outliers belonging to the region b occur in the incremental number, and the regions of the front and rear measurement points of the outliers are the region a, the possibility that the outlier user belongs to the region a is high.
TABLE 2
| Zone name | a | a | a | a | a | by | by | a | a | a |
| Measuring point | 1 | 2 | 3 | 4 | 7 | 8 | 9 | 10 | 11 | 12 |
3. Outlier of metering point
The acquisition system is generally synchronous or delayed to the construction of a power supply network, except for a small number of newly added users, the acquisition system is generally intensively implemented in batches according to a power supply area (a plurality of areas or a platform area) during construction, and user information, acquisition information and acquisition information are all regular. The building resident private user branch collection point numbers of 5 floors of residences as in table 3 are characterized by a number incremented by 1.
Table 3: building private user branch electricity consumption address and acquisition point relation table
The user electric energy meter corresponding to the regular acquisition point numbers generally belongs to a certain user branch in a power supply network. If a user belonging to another area appears in the regular collection point number belonging to one area, the possibility of error of the user change relation of the area is very high, and the probability of the user belonging to the area is very high. The 301,1-5 layers of 10 users in table 1 belong to one user branch, the metering point numbers of the user branch are different from those of other users in the platform area b, and the user branch under the platform area a presents the characteristic that the metering point numbers are increased by 1 regularly. And the metering point number of the 301 user and the metering point number of the user under the platform region b show the metering point outlier characteristic. Metering point outliers may therefore be diagnosed 301 as belonging to zone a.
Metering point outlier features can be used for secondary diagnosis of acquisition outliers. That is, if the measurement points are not outliers, it cannot be determined that the user-variable relationship is wrong, and the measurement points should be diagnosed as cross-sampling.
4. Acquisition outliers based on user branches
In a user branch composed of a plurality of users, such as a private user branch of a building resident and a branch of a concentrated address user, all users under the branch can only be supplied by one station area because the users are on the same power supply line. For some reason, the metering points may not show a regular characteristic, and due to the technical limitation of the collection mode, the electricity consumption of the users branched by the same user is successfully collected by a plurality of collection terminals, and the terminals may belong to different areas. For such acquisition outliers, cross-acquisition should be diagnosed.
For a dual-power user branch, 2 metering points of the user are all acquired by 1 acquisition terminal, and the situation is identified as cross acquisition. If in a building distribution room, the acquisition terminal of a certain platform area can acquire all users such as elevator users, public lighting users, water pumps and the like in the distribution room through a collector by adopting 485 cables.
As shown in fig. 7, by acquiring the collecting file of the area and branch data of the user of the area, the collecting topology analysis model is constructed by the above 4 methods to identify the user of the area, and the final user identification result is output in a standard format.
The implementation of the invention has the following characteristics:
1. the invention does not classify by distance in geographical relation, but performs 3 classification methods of adjacent stations by collecting business rules and user load electrical design rules, and the new adjacent station classification completely covers various situations required by analysis of user change identification data.
2. Combining the situation outlier analysis of data analysis with the collection business rule, and providing two methods of collection outlier and measuring point outlier to perform user change identification.
3. Combining the situation outlier analysis of the data analysis with the user load electrical design rule, and providing a metering point outlier method for user change identification.
4. And taking the metering point outlier method as a secondary diagnosis and filtration of acquisition outlier and measurement point outlier, and carrying out diagnosis of user cross-platform acquisition.
5. For acquisition outliers based on user branch diagnosis, diagnosis is cross-acquisition.
6. Through cross-mining diagnosis, the problem that a user change identification error may exist in a terminal-area type (all users in the type of terminal belong to one area) can be solved.
Experiments prove that
Through the verification of the actual platform area, the accuracy rate can reach 95%.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (3)
1. A platform region user transformer identification method integrating collected service and load design rules is characterized in that: the method comprises the following steps:
s1: acquiring a platform region acquisition file and platform region user branch data;
S2: establishing an acquisition topology analysis model according to the archive data and the branch data of the users in the area;
S3: analyzing acquisition outliers, measuring point outliers, metering point outliers and acquisition outliers based on user branches by using an acquisition topology analysis model, and diagnosing outliers and cross-acquisition conditions; the collection outlier is that according to the collection task requirement, one collection terminal only collects electric energy meters under one area, if 2 area electric energy meters are collected by one collection terminal, a user change relation error is caused, if the situation that the number of the user meters of one terminal collection area a and the number of the user meters of one area b are large, the area users with the number of the user meters of the area less than a preset value are regarded as outlier users; the measurement point outlier is that the electricity consumption of the electric energy meter is successfully collected due to the technical or human factors, but the attribution relation of the electric energy meter and the platform area is wrong, and because the measurement point data set is an increasing positive integer, no more than 2 outlier measurement points belonging to the platform area b appear in the corresponding platform area names in the increasing number of the measurement meter, and the platform areas of the front and rear measurement points of the outlier measurement points are platform area a; the metering point outlier refers to a user belonging to another platform area in the corresponding platform area in the regular acquisition point number belonging to one platform area, and the user is regarded as the metering point outlier; the acquisition outlier based on the user branches refers to that in the user branches formed by a plurality of users, metering points of the user branches do not show regularity characteristics, electricity consumption of users of the same user branch is acquired by a plurality of acquisition terminals, the acquisition terminals belong to different areas, and the acquisition outlier is diagnosed as cross-acquisition;
s4: and outputting the analysis result of the acquisition topology analysis model according to a standard output format.
2. The method for identifying a residential transformer in a residential area in which the collected business and load design rules are integrated as claimed in claim 1, wherein said S1 is performed before diagnosing the neighboring residential area by archival data analysis.
3. The method for identifying a residential transformer in a residential area in which the collected business and load design rules are integrated as claimed in claim 2, wherein the data of the neighboring residential areas includes the user profile data of the residential area name proximity, the collected proximity and/or the power supply and distribution proximity and whether the user table is successfully collected; the adjacent areas are close to each other or are in the same area according to the sequence of naming numbers, and the adjacent areas are regarded as adjacent areas; the acquisition proximity refers to a user electric energy meter of a plurality of adjacent areas without blocking near a micropower wireless acquisition terminal due to the technical characteristics of an acquisition mode when the acquisition system is built, and the adjacent areas are the acquisition proximity.
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| 基于ROF离群组检测的低压配电网拓扑校验;郭屾;林佳颖;王鹏;张冀川;陈蕾;唐国静;;控制工程(第01期);全文 * |
| 基于离群点检测的低压配电网拓扑结构校验;耿俊成;吴博;万迪明;袁少光;;电力信息与通信技术(第05期);全文 * |
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