CN112886580A

CN112886580A - User branch-based platform area topology identification method and system

Info

Publication number: CN112886580A
Application number: CN202110171882.8A
Authority: CN
Inventors: 朱铮; 陈昊; 曹祎; 张密; 黄锋; 俞磊; 陈海宾; 谭煌; 刘婧; 蒋超; 许堉坤; 罗伟; 宋琦
Original assignee: China Electric Power Research Institute Co Ltd CEPRI; State Grid Shanghai Electric Power Co Ltd; Beijing Zhixiang Technology Co Ltd
Current assignee: China Electric Power Research Institute Co Ltd CEPRI; State Grid Shanghai Electric Power Co Ltd; Beijing Zhixiang Technology Co Ltd
Priority date: 2021-02-08
Filing date: 2021-02-08
Publication date: 2021-06-01

Abstract

The invention belongs to the field of power topology big data analysis, and particularly relates to a method and a system for identifying a platform area topology based on user branches. The method comprises the following steps: s1: data access and processing: classifying the users according to the user collection characteristics, the address characteristics and the power utilization characteristics; s2: the method comprises the following steps of taking power supply and distribution design specification analysis as a main analysis method, and collecting topology analysis and voltage correlation analysis as auxiliary analysis methods to realize user branch identification; s3: after the user branch is identified, diagnosing the corresponding distribution area of the user branch; s4: according to the voltage correlation analysis result and/or the power supply and distribution design specification, automatic identification and output of the platform area topology are achieved through branch proximity identification and branch collinear identification. The invention constructs a virtual power supply network based on user branches under the condition of limitation of the existing archive data and the collected operation data, and the accuracy of the data analysis result is very high because the operation data is limited by the actual power supply network, thereby completely reaching the practical level.

Description

User branch-based platform area topology identification method and system

Technical Field

The invention belongs to the field of power topology big data analysis, and particularly relates to a method and a system for identifying a platform area topology based on user branches.

Background

With the comprehensive coverage of the electricity utilization information acquisition system, the operation data of the electric energy meter of the power consumer in the low-voltage distribution room can be acquired in a quasi-real-time manner, and the change of the operation data of the electric energy meter at each moment depends on the change of the load of the user and the difference of the electrical parameters of a power supply line from a transformer end to a user end, so that the possibility is provided for realizing the intelligent diagnosis of the topology of the low-voltage distribution room through the statistics and analysis of the change rule of the operation data in a certain period.

The building of the power consumer in the low-voltage transformer area belongs to the category of civil buildings, the electrical design of the building needs to comply with the electrical design specifications of the civil buildings, when the power consumer applies for the power demand, a power supply department can design a power supply scheme according to the design specifications, the property of the user and the installation capacity, carries out on-site investigation, establishes relevant archive information for supplying power to the user, and a construction department carries out relevant records on an installed meter box and an installed electric energy meter when designing and constructing according to the power supply scheme. The information of the location of the users in the power supply network and the parameter information of the cable diameter for supplying power to the users in the power supply network are hidden in the file information.

At present, the topology of a low-voltage distribution area is required to be obtained, field data general survey is generally carried out in a manual mode, and relevant information of a user is recorded from a transformer- > power supply line (overhead line or cable) - > distribution equipment (electric pole or branch box or distribution cabinet between distribution boxes) - > power supply line- > meter box-, so that the mode has the defects of large workload, possible errors in manual data recording, variation of the power grid at any moment and incapability of monitoring and timely changing the variation of the actual field power supply network.

Meanwhile, intelligent monitoring equipment is installed at distribution equipment such as a branch box and a meter box, all intelligent monitoring equipment under a distribution area can send distribution topology information in real time, newly-added equipment and deleted equipment information are automatically acquired, distribution area topology identification can also be achieved, however, due to large investment, installation of the equipment cannot be carried out on all power distribution equipment, and meanwhile, due to the fact that a large amount of equipment is installed, new problems can be caused by maintenance of the intelligent equipment.

In the existing technical scheme for analyzing the topology of the transformer area, the line loss correlation and the voltage correlation are relatively mature methods, and the 2 methods all utilize the correlation between the electricity consumption and the voltage of the line loss, the voltage of the user meters and the voltage of the general meter if the attribution relationship exists between the transformer area and the user. Generally, the diagnosis is performed by using a pearson correlation coefficient between the power consumption and the line loss and the voltage. The correlation coefficient of the power consumption and the line loss can be used for diagnosing the affiliation relationship between users and the transformer area by the users, and the correlation coefficient of the voltage can be used for diagnosing whether the users are in the same meter box or not and the affiliation between the users and the transformer area, so that the simple topological relationship between the transformer area, the meter box and the users is established.

When the big data analysis of the platform area topology is carried out at present, the data analysis result effect is poor due to the complexity and frequent change of the platform area topology analysis, the user variation common sense accuracy rate reaches 80 percent, the user variation common sense accuracy rate is good, the recognizable topology is simple, and the recognizable topology cannot be consistent with the actual power supply topology.

The number of users under the platform district is numerous and its resident user quantity occupies most of them, most of users use low and the power supply mode is various, only through power consumption line loss correlation, voltage correlation analysis can not accurately extract the characteristic and carry out the accurate discernment of family change and topology, cause the state discernment rate of accuracy of family change and the detectable rate not high, recognizable topological level is simple, can't keep unanimous with the topological condition of actual power supply, lead to the fact to supply power business support working strength inadequately, can't reach the level of practicality.

Disclosure of Invention

Aiming at the problems in the prior art, the invention provides the method for identifying the platform area topology based on the user branch, which is easy to popularize, low in cost and high in coverage, and the system for identifying the platform area topology based on the user branch, which realizes the method.

The invention is realized in this way, the method for identifying the platform zone topology based on the user branch comprises the following steps:

s1: data access and processing: classifying the users according to the user collection characteristics, the address characteristics and the power utilization characteristics;

s2: the method comprises the following steps of taking power supply and distribution design specification analysis as a main analysis method, and collecting topology analysis and voltage correlation analysis as auxiliary analysis methods to realize user branch identification;

s3: after the user branch is identified, diagnosing the corresponding distribution area of the user branch;

s4: according to the voltage correlation analysis result and/or the power supply and distribution design specification, automatic identification and output of the platform area topology are achieved through branch proximity identification and branch collinear identification.

The design specification of power supply and distribution refers to the electrical design standard of civil buildings, has a plurality of different versions, and is based on the latest version of the electrical design standard GB51348-2019 of the civil buildings, which is published by the Ministry of housing of the people's republic of China and the Ministry of urban and rural construction in 2019.

The S2 user branch identification comprises user branch distribution statistics, preliminary identification and optimization, and the optimization is divided into 1) voltage correlation analysis result optimization; 2) and optimizing the collection topological analysis result.

And S2-1 is carried out after the user branch identification is realized by S2, and the abnormal branch identification is carried out according to the power supply and distribution design specification. According to the power supply and distribution design specification, abnormal branch recognition is carried out, namely, power supply and distribution design analysis is carried out according to the electrical design specification of a residential building, 2 electrical design rules are extracted for abnormal branch diagnosis: 1) the user under one user branch is powered by one station area, and 2 or more station areas exist and are diagnosed as abnormal branches; 2) common power supplies and standby power supplies of important users such as elevator public lighting and the like come from different transformer areas, the common power supplies and the standby power supplies of 2 user branches of the same important user are supplied with power by the same transformer area, and the 2 user branches are diagnosed as abnormal branches.

The frequent output of the user variation refers to that after the branch should belong to the station area, the users under the branches not belonging to the station area are diagnosed as abnormal user variation and output in a grading way.

The step S3: after the user branch is identified, diagnosing the corresponding sub-station area of the user, namely calling distance analysis, voltage correlation analysis, line loss correlation analysis and power-off analysis in sequence to diagnose the corresponding sub-station area of the user branch; when the above analysis method is missing data or is not applicable to a certain class of users, the analysis method is ignored. After the user branch is identified, in the diagnosis of the corresponding station area of the user, if the four analyses cannot accurately judge the corresponding station area, the power supply and distribution design specification judges the corresponding station area of the user branch according to the principle that a small number of the analyses obey most.

A system for realizing the user branch-based platform area topology identification comprises an electrically connected server, a topology analysis platform, a network data interface and a display operation terminal, and is characterized in that a network data interface setting data acquisition unit 201 is connected with a big data platform and used for acquiring a required electric power service data list, and the topology analysis platform is provided with a platform area topology analysis establishment model 202 and a platform area topology analysis unit 203.

The platform region topology analysis unit 203 includes a data preprocessing service, a CSV inspection program of which automatically monitors the data update condition of a data cache region, and after finding that new data arrives in the data cache region, first, according to a predetermined inspection rule, inspects the data quality and outputs a data quality inspection report; and after the data is qualified, calling a data merging program, carrying out preprocessing work such as data merging on the new data in the cache region according to a preset rule, and storing the processed data in the ES data cluster through a data input program.

The invention has the advantages and positive effects that: the invention discloses a power supply and distribution service optimization method based on a residential building, which is characterized in that relevant power service rules are summarized from the perspective of the power supply and distribution service of a platform area, users under the platform area are classified according to address characteristics, acquisition characteristics and power utilization characteristics of the users based on electrical design rules extracted from residential building electrical design specifications, a user branch concept is introduced, a platform area topology identification model which optimizes a power supply and distribution design analysis result by taking distance analysis (formed by combining acquisition topology analysis and address analysis), voltage correlation analysis, line loss correlation analysis and power failure analysis as a main part is established, and the problem of low power consumption rate that small-amount users under the platform area are difficult to perform topology identification is solved.

The core idea of the invention is to construct a virtual power supply network based on user branches under the limited conditions of the existing archive data and the collected operation data, and the accuracy of the data analysis result is very high because the operation data is limited by the actual power supply network, thus completely reaching the practical level.

Drawings

FIG. 1 is a schematic block diagram of the present invention;

FIG. 2 is a schematic diagram of an exemplary building cell subscriber branch identification of the present invention;

FIG. 3 is a schematic diagram of the independent premises user branch identification of the present invention;

FIG. 4 is a schematic diagram of a building user branch distribution of the present invention;

FIG. 5 is a schematic diagram of the independent premises subscriber branch identification of the present invention;

FIG. 6 is a schematic diagram of a single-branch multi-user variation common sense of the present invention;

FIG. 7 is a schematic diagram of a variation of common power supply for important users in the same power distribution area;

FIG. 8 is a flowchart of the frequent case identification of user variation according to the present invention;

FIG. 9 is a diagram illustrating a topology recognition result of a topology recognition case according to the present invention;

FIG. 10 is a schematic diagram of an identification system application architecture of the present invention;

FIG. 11 is a schematic diagram of the physical structure of the identification system;

FIG. 12 is a schematic block diagram of the identification system of the present invention;

FIG. 13 is a schematic diagram of the interface architecture of the recognition system and big data platform of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments.

Example 1:

as shown in fig. 1, the present invention is a method for identifying a topology of a cell based on a subscriber branch, which includes:

s1: data access and processing: classifying users based on user acquisition characteristics, address characteristics and power utilization characteristics of the power supply and distribution design;

s2: taking power supply and distribution design specification analysis as a main analysis method, collecting topological analysis in file power supply statistics for distance analysis, and realizing user branch identification by utilizing voltage correlation analysis;

s3: after the user branch is identified, diagnosing the corresponding distribution area of the user branch through a plurality of analysis methods;

S5: and (4) diagnosing the users under the branches not belonging to the station area as the user variation frequency and grading and outputting.

Wherein:

according to the technical scheme, users are classified based on user acquisition characteristics, address characteristics and power utilization characteristics, a user branch concept is introduced, power supply and distribution design analysis is used as a main analysis method, and automatic identification of transformer substation area user change and topology is achieved by combining distance analysis (formed by combining acquisition topology analysis and address analysis), voltage correlation analysis, line loss correlation analysis and power-off analysis correlation analysis.

One, power utilization address structured processing, user branch definition and classification standard

In the power supply design of the transformer area, a power supply path generally supplies power from a transformer- > power supply line (overhead line or cable) - > power distribution equipment (electric pole or branch box or distribution room power distribution cabinet) - > power supply line- > meter box (centralized or single meter box) - > electric energy meter- > user.

The method is characterized in that the power utilization address characteristics, the acquisition characteristics and the user power utilization characteristics of the power utilization area users are summarized, the user branch concept is introduced, the power utilization area users are divided into 2 categories, namely six categories, and the user variable relation identification is conveniently performed by selecting a proper analysis method for each category of users. Fig. 2 is a schematic diagram of a typical building cell subscriber branch identification, and fig. 3 is a schematic diagram of an individual house subscriber branch identification.

1. Power utilization address structuring

Taking a building user as an example, as shown in table 1, 11-level structured processing is performed on the user power utilization address in the collected archive data to obtain a building-floor-room number, so that the power supply distribution relationship between the building floor and the platform area can be conveniently counted.

TABLE 1 Power Address structuring

Level 1

Stage 2

Grade 3

4 stage

Grade

5

Grade 6

Stage 7

Stage 8

Grade 9

Grade 10

11 stage

Economic

City (R)

County side

Village/town

Road surface

Mobile phone

Number (C)

Multi-span

Unit cell

Layer(s)

Chamber

Shanghai city

New area of Pudong

Three forest town

High-speed road

88

28

01

2. User branch definition

The user branch refers to a power supply line and power users carried under the power supply line. And the user branch from the power supply line to the meter box is the final user branch. The power users under one user branch are supplied with power by the same transformer area, the identification of transformer area user change relation is changed into the identification of branch home transformer area after the user branch is introduced.

In a public transformer station area, 20 power users can exist when one final-stage user branch is the most, the average number of the power users in each area of a national network is only about 100, the analysis number can be reduced by one order of magnitude after the user branch is introduced, meanwhile, compared with the analysis of a single power user, the branch can embody more characteristics, and the effectiveness of an analysis result can be greatly increased.

3. User classification

Dividing users under the transformer area into residential building type (building, multi-storey and high-rise residence for short, and regular floor-room characteristics of electricity utilization addresses) users and non-residential building type (independent house for short), constructing a user branch data model, and dividing each major user branch into three subclasses according to the acquisition characteristics and the electricity utilization characteristics of the users. As shown in table 2.

TABLE 2 subscriber Branch Classification under zone

Note that: in the scheme, in the private users of the residents of the buildings, the users of the single meter box are not regarded as a final-stage user branch, and the users of the centralized meter box and the users below the centralized meter box can be regarded as a final-stage user branch.

Note two: the user address clustering branch refers to the user addresses of a plurality of users, wherein the user addresses have the same keywords, such as the country of the Lincang road-friendly 12 teams.

Third, note: the aggregated address user branch may be composed of a plurality of last level user branches.

Secondly, user branch distribution statistics, primary identification and optimization

The most key step of the user variable identification process in the scheme is user branch identification. The method comprises three steps of user branch distribution statistics, primary identification and branch optimization.

1. User branch distribution statistics

According to the archive relationship between the transformer area and the power utilization address and the principle that the same number of users on the same floor and the same contract capacity are designed to be consistent when the same cell is electrically designed, the distribution relationship between the power supply user branches of the building floor and the transformer area can be calculated, as shown in fig. 4. There are illustrated in the building 2 levels one, 3 levels one or 4 levels one 3 user branch types.

And for the independent house users, carrying out primary identification on user branches by using the collected terminal address + address keywords. As shown in figure 5, addresses are gathered, minhouse 56# -399 #, and these addresses are powered by 2 stations. Terminal a + minhomehouse as a feature identification 56-215 as a user branch of a smallpox minhomer, and terminal B + minhomehouse as a feature identification 328-399 as a user branch of a smallpox jinshidong.

2. Preliminary identification of user branches

After the user branch distribution statistics, the branch preliminary identification is performed, and the user branches and numbers of the preliminary identification are shown in table 3.

TABLE 3 initial identification result of typical user branch with class II height (floor number less than or equal to 18)

3. User branch optimization

After the user branch is preliminarily identified, the preliminarily identified user branch can be optimized through voltage relativity and collection topology.

1) Voltage dependence analysis result optimization

As shown in table 4, the voltage correlation results between the individual meter and phase meter in a centralized meter box are clearly different from those of other phase meters, and 12 meters in the meter box constitute a final user branch.

TABLE 4 correlation result of household meter voltage in centralized meter box

House number	101	102	201	202	301	302	401	402	501	502	601	602
													101	1.00y	0.96y	0.95y	0.91y	0.17	0.19	0.16	0.15	0.11	0.07	0.07	0.08
102	0.96y	1.00y	0.92y	0.94y	0.16	0.17	0.13	0.12	0.11	0.06	0.04	0.05
													201	0.95y	0.92y	1.00y	0.88y	0.18	0.20	0.18	0.17	0.07	0.07	0.08	0.09
202	0.91y	0.94y	0.88y	1.00y	0.15	0.11	0.11	0.11	0.12	0.07	0.02	0.01
													301	0.17	0.16	0.18	0.15	1.00g	0.87g	0.92g	0.96g	0.11	0.06	0.06	0.09
302	0.19	0.17	0.20	0.11	0.87g	1.00g	0.92g	0.90g	0.17	0.13	0.10	0.11
													401	0.16	0.13	0.18	0.11	0.92g	0.92g	1.00g	0.96g	0.12	0.07	0.04	0.07
402	0.15	0.12	0.17	0.11	0.96g	0.90g	0.96g	1.00g	0.13	0.07	0.07	0.09
													501	0.11	0.11	0.07	0.12	0.11	0.17	0.12	0.13	1.00r	0.92r	0.87r	0.84r
502	0.07	0.06	0.07	0.07	0.06	0.13	0.07	0.07	0.92r	1.00r	0.92r	0.90r
													601	0.07	0.04	0.08	0.02	0.06	0.10	0.04	0.07	0.87r	0.92r	1.00r	0.97r
602	0.08	0.05	0.09	0.01	0.09	0.11	0.07	0.09	0.84r	0.90r	0.97r	1.00r

The above analysis results are equally applicable to the user branch. And performing voltage correlation calculation between the user meters on each user branch to obtain the user meter phase distribution of the user branch. As shown in Table 5, the distribution diagram shows that every 3 floors form an ABC three-phase distribution, through the correlation analysis of the data of the floor meter box archives, 2 meter boxes are arranged on each floor of the building, the number of the meter boxes is 1, so that the branch 1 of the resident private user of the building is judged to be subdivided into 8 sub-branches 11-18, the branch 1 of the resident private user is the superior father branch of the branch 11-18, the branch 2 of the resident private user is subdivided into 9 sub-branches 21-29, and the branch 2 of the resident private user is the superior father branch of the branch 21-29. The verification of the user branch identification result can be completed through the voltage correlation analysis result, so that the branch primary identification result is confirmed or optimized.

TABLE 5 subscriber branch identification and phase identification verification for typical class II high (floor number 18 floors or less)

If the floor table case is concentrated table case and arranges, then 2 private user branches of resident can divide into a plurality of subbranches according to concentrated table case quantity, and a final stage user branch is shown to every concentrated table case.

After the branch is introduced, when the voltage correlation coefficient between the user tables is calculated by adopting voltage correlation analysis, a proper strategy is selected, and the analysis result meeting the expectation can be obtained by only 10 points, so that the requirement on the calculation resource can be greatly reduced.

2) Acquisition topology analysis result optimization

In a half-load (narrowband carrier +485) acquisition mode, user branch optimization can be carried out according to the principle that one collector is used for acquisition when a branch is cut off during acquisition network construction. As shown in table 6. According to the power supply relation between the platform area and the power utilization address, 12-layer users are identified as one resident private user branch, but according to 2 acquisition points and even distribution of the buildings, the 12-layer users can be divided into 2 resident private user branches with 6 layers.

Each branch can be subdivided into a plurality of sub-branches according to the distribution and the number of meter boxes in the building.

Table 6 table of subscriber, zone, acquisition point and subscriber branch relation table

Three, abnormal branch recognition

The power supply and distribution design analysis extracts 2 electrical design rules to diagnose abnormal branches according to the electrical design specifications of residential buildings:

1) the user under one user branch is powered by one station area, and 2 or more station areas exist and are diagnosed as abnormal branches;

2) common power supplies and standby power supplies of important users such as elevator public lighting and the like come from different transformer areas, the common power supplies and the standby power supplies of 2 user branches of the same important user are supplied with power by the same transformer area, and the 2 user branches are diagnosed as abnormal branches.

As shown in fig. 6. The 11 floors are provided with 2 private user branches of residents, one user branch on 1-6 floors and one user branch on 7-11 floors, and the private user branches are all supplied with power by Hongshanyue. 1-6 layers of user branches, the electric energy meter in the blue frame in the file is not supplied by Hongshanayue and Jupithi, and the design principle that one user branch is supplied by the same platform area is violated.

As shown in fig. 7, the common power supply and the standby power supply of No. 879 and No. 2 public lighting are supplied by the same platform area, which violates the design principle that the common power supply and the standby power supply need to come from different platform areas.

And fourthly, branch corresponding region identification and household variation frequent output

As illustrated by a 19-span 6-storey data analysis process.

1) User branch distribution statistics and user branch primary identification

According to the electrical design rule, the low-voltage power supply of the multi-storey residential district takes residential building units as power supply units, and a main power box from the district to the units adopts cables with equal sections for power supply. Multi-storey residential users without elevator or other utilities are typically designed to be powered by the same area. The user branch distribution and the user branch preliminary identification result are shown in table 6.

TABLE 6 subscriber Branch distribution statistics and preliminary subscriber Branch identification results

2) Abnormal branch identification

The residential private user branch 10 has 2 sectors of power supply and, contrary to design rules, is diagnosed as an abnormal branch.

3) Branch oughfare region diagnosis

And calling a distance analysis result (a result of patents such as a method for identifying station change in a station area based on an acquisition service rule and a user load electrical design rule), wherein the 10 th building is in the station area 8732, belongs to an outlier with other power supply buildings, and is not outlier with other power supply buildings in the station area 0532. The distance analysis diagnoses the subscriber branch 10 home zone 0532.

And calling a line loss correlation analysis result (a result of a method patent for identifying station change based on daily freezing data and a user load electrical design rule, and the like), wherein a residential subscriber branch 10 and a station area 8732 are combined, a power consumption and line loss Pearson correlation coefficient presents a negative correlation characteristic, and is not presented in a station area 0532, and the subscriber branch 10 does not belong to the station area 8732. The line loss correlation diagnoses the subscriber branch 10 home zone 0532.

The voltage dependency and the power-off analysis are ignored because of no data.

In the power supply and distribution design, due to the fact that other analysis methods are used for confirming branch affiliation 0532, the affiliation zone does not need to be output according to the default minority obeying majority principle.

Combining the above analysis methods, the user branch 10 belongs to the station area 0532.

4) Constant output of household variation

The user branch 10 belongs to the station area 0532, and 2-6 layers of 10 users are output as user change abnormity. The process of the whole user variation common sense is shown in fig. 8.

Automatic identification of topology of transformer area

And combining the electric design specification and the voltage correlation analysis result (the result of a method for identifying the topology of the transformer area based on the voltage correlation analysis of time series data and the electric design rule of the user load), and completing the automatic identification of the topology of the transformer area through branch adjacent identification and branch collinear identification.

2 building districts are used for illustrating how to realize the automatic recognition of the district topology.

1. Basic situation of platform area

The power supply range of 2 building districts is 199-20 stories of residential building 1 (building No. 6-7) and 17 stories of residential building 3 (building No. 8/9/10). The station area basic information is shown in table 7.

Table 72 basic information of building districts

Station zone ID	10133300637	10133300639
			Name of area	Yinkang twenty-one No. 1 distribution transformer	Yinkang twenty-one No. 2 distribution transformer
Capacity of transformer	800	800
			Comprehensive multiplying power	400	400
Number of electric energy meters	137	108

2. Subscriber branch identification situation

The end user branch identification of building 8/9/10 is shown in table 8.

Table 88/9/10 floor subscriber branch identification table

The final subscriber branch identification for building No. 6-7 is shown in table 9.

Table 96-7 building subscriber branch identification table

3. Branch proximity identification

According to the electrical design specifications of residential buildings, the residential electrical design is slightly different from the residential electrical design on 18 floors and below and 19 floors and above in the way of user branch processing.

For high-rise buildings with 18 floors and below, in the same building, user branches belonging to the same power supply are led from the same section of bus of a power distribution room of the building, and the user branches are led from different power distribution cabinets to supply power to users below the user branches. Meanwhile, because the load of the public facilities is small, when the power supply and distribution design is carried out, a plurality of public facility user branches of the same bus are generally led out from one power distribution cabinet, and resident private user branches are independently led out from one power distribution cabinet. As shown in table 8, the 8/9/10 th user branch 2/4/6/7 supplies power to the spare power bus belonging to the distribution room, and 1/3/5 supplies power to the common power bus of the distribution room. When a plurality of private user branches of residents exist under the common or standby power supply bus, a power supply source of a power distribution cabinet is added at the common or standby power supply bus to be led out.

For two types of high-rise buildings with 19 floors and above, in the same building, each private user branch generally draws a special line from a residential substation to supply power, and each user branch is provided with an incoming line cabinet and an outgoing line cabinet in a building distribution room. For public facilities such as elevator public lighting, a special line can be pulled for power supply, and the special line can also be collinear with a branch of a private user of a certain resident. Floor number 6-7 user branch 2/7/9, shown in table 9, provides public lighting, elevators, and 16-18 users for a power line from one residential substation, and 5 provides 1-5 users for a power line from another residential substation.

By the above electrical design specification, proximity identification of a user branch can be achieved.

4. Branch co-linear identification

Through the voltage correlation analysis result among the branches, the collinear branch voltage correlation analysis result is utilized to present the characteristic of approximate and even distribution of phases, and whether each user branch is collinear or not can be identified, so that whether the elevator public lighting public facility branch of 19-layer and above high-rise buildings supplies power for a residential substation private line or supplies power for a line shared by the elevator public lighting public.

The 2-cell topology identification results are shown in fig. 9. Each box represents a dispensing cabinet.

Example 2:

as shown in the figures 10-13 of the drawings,

a system for realizing automatic low-voltage distribution area topology identification based on user electrical design rules comprises a server, a topology analysis platform, a network data interface and a display operation terminal which are electrically connected, and is characterized in that a network data interface setting data acquisition unit 201 is connected with a big data platform and used for acquiring a required electric power service data list, and the topology analysis platform is provided with a distribution area topology analysis establishment model 202 and a distribution area topology analysis unit 203.

The application architecture description module of the platform zone topology recognition system has application function range and mutual relation, and can be divided into five applications such as a large data platform interface, data processing, an analysis algorithm, a Web application display and management tool and the like. As shown in fig. 10. According to analysis needs, according to different time periods, collecting data and archival data of the electric energy meter are extracted from the electricity consumption information collection big data platform, the data are checked and preprocessed, multiple big data analysis algorithm models are built, power supply topology, line loss and the like of a transformer area are analyzed, user variable relation adjustment suggestions and adjusted transformer area line loss influence analysis are given, a suspected user variable relation error user list is displayed through a Web display function, a possibly affiliated transformer area is indicated, and other related reports, reports and the like are displayed.

And a secondary development API interface is provided, the analysis result can be embedded into the existing service system of a power grid company, and technical support is provided for line loss management, misalignment replacement of an electric energy meter, fault emergency repair and industrial expansion and new installation.

The invention relates to a power supply and distribution design, an analysis result of other big data analysis methods related to the power supply and distribution design and a display system.

(1) Data accessing and storing service (Data Saving Processor)

A data access mode: and according to a power service data list required by the system, the big data platform provides a CSV file corresponding to the original data, and transmits the CSV file to the user variable relation analysis module in an FTP mode.

Data caching: the original data is cached in the server in the form of a CSV file for use by the data pre-processing service.

Part of intermediate calculation results generated in the operation process of the calculation service are cached in the data cache region, so that the calculation efficiency is improved.

ES data Cluster (ES Cluster): the data preprocessing results of the data preprocessing service (Preprocessor) pairs are stored in the ES data cluster for subsequent analysis. The calculation result of the Algorithm service (Algorithm Processor) is stored in the ES data cluster and is called by the Web interface service (Web Processor).

(2) Data preprocessing service (Preprocessor)

The CSV Check program (CSV Check Process) automatically monitors the Data update status of the Data buffer, and when new Data arrives in the Data buffer, first checks the Data quality according to a predetermined Check rule, and outputs a Data Check Report (Data Check Report). And after the Data is qualified, calling a Data merging program (Data Merge Process), carrying out preprocessing work such as Data merging on the new Data in the cache region according to a preset rule, and storing the processed Data in the ES Data cluster through a Data input program (Data Import Process).

(3) Algorithm service (Algorithm Processor)

The Algorithm service (Algorithm Processor) contains a pool of Algorithm programs (Process-pool), each implementing an Algorithm. The management program (TaskFlow) calls different algorithm programs according to the calculation trigger marks acquired from the ES Data cluster as required and in combination with the configuration condition, analyzes the service Data according to a certain rule, outputs the calculation result, and stores the calculation result into the ES Data cluster and the big Data platform through a Data output program (Data Out Process).

(4) Web interface service (Web Processor)

A Rule Engine (Rule Engine) solidifies a data reading Rule according to the data display requirement of the front-end Web, reads required calculation result data from an ES data cluster, a Web Background processing program (Web Background Process) processes the calculation results, combines the calculation results according to the requirement of an Interface protocol, uses an Http protocol through an Open property (Open) to perform load balancing, and outputs the calculation results to a Web front-end Interface through a Web Interface program (Web Interface Process).

Experiments prove that

The invention discloses a power supply and distribution service optimization method based on a residential building, which is characterized in that relevant power service rules are summarized from the perspective of the power supply and distribution service of a platform area, users under the platform area are classified according to address characteristics, acquisition characteristics and power utilization characteristics of the users based on electrical design rules extracted from residential building electrical design specifications, a user branch concept is introduced, a platform area topology identification model which optimizes a power supply and distribution design analysis result by taking distance analysis (formed by combining acquisition topology analysis and address analysis), voltage correlation analysis, line loss correlation analysis and power failure analysis as a main part is established, and the problem of low power consumption rate that small-amount users under the platform area are difficult to perform topology identification is solved. Through simulation test and field actual verification, the identification accuracy rate of all user indoor variables in the whole platform area can reach more than 99%.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims

1. The method for identifying the platform zone topology based on the user branch is characterized by comprising the following steps:

s2: the power supply and distribution design specification is used as a main analysis method, and the collected topology analysis and the voltage correlation analysis are used as auxiliary analysis methods to realize user branch identification;

2. The method for subscriber branch based identification of topology of a distribution site as claimed in claim 1, wherein said S2 subscriber branch identification comprises subscriber branch distribution statistics, preliminary identification and optimization, and the optimization is 1) voltage correlation analysis result optimization; 2) and optimizing the collection topological analysis result.

3. The method for subscriber branch-based site topology identification according to claim 1, further comprising performing step S2-1 after performing step S2 to implement subscriber branch identification, and performing abnormal branch identification according to power supply and distribution design specifications.

4. The method for identifying the topology of the distribution area based on the user branch as claimed in claim 3, wherein the identifying of the abnormal branch is performed according to the design specification of the power supply and distribution, which means that 2 electrical design rules are extracted according to the design specification of the power supply and distribution for diagnosing the abnormal branch: 1) the user under one user branch is powered by one station area, and 2 or more station areas exist and are diagnosed as abnormal branches; 2) common power supplies and standby power supplies of important users such as elevator public lighting and the like come from different transformer areas, the common power supplies and the standby power supplies of 2 user branches of the same important user are supplied with power by the same transformer area, and the 2 user branches are diagnosed as abnormal branches.

5. The method for subscriber branch based identification of a cell topology according to claim 1, further comprising S5: and (4) judging the variation of the household according to the power supply and distribution design specification and outputting the variation.

6. The method as claimed in claim 5, wherein the subscriber variation frequent output means that after the branch belongs to the zone, the subscriber under the branch not belonging to the zone is diagnosed as a subscriber variation abnormal and output in a hierarchical manner.

7. The method for subscriber branch based identification of a cell topology according to claim 1, wherein said S3: after the user branch is identified, diagnosing the corresponding sub-station area of the user, namely calling distance analysis, voltage correlation analysis, line loss correlation analysis and power-off analysis in sequence to diagnose the corresponding sub-station area of the user branch; when the above analysis method is missing data or is not applicable to a certain class of users, the analysis method is ignored.

8. The method for subscriber branch based identification of a cell topology according to claim 7, wherein said S3: after the user branch is identified, in the diagnosis of the corresponding station area of the user, if the four analyses cannot accurately judge the corresponding station area, the power supply and distribution design specification judges the corresponding station area of the user branch according to the principle that a small number of the analyses obey most.

9. A method and a system for realizing the method based on the user branch platform area topology recognition comprise an electrically connected server, a topology analysis platform, a network data interface and a display operation terminal, and are characterized in that a network data interface setting data acquisition unit 201 is connected with a big data platform and used for acquiring required power service list data, and the topology analysis platform is provided with a platform area topology analysis establishment model 202 and a platform area topology analysis unit 203.

10. The system for subscriber branch based identification of a cell topology according to claim 9, wherein: the platform region topology analysis unit 203 includes a data preprocessing service, a CSV inspection program of which automatically monitors the data update condition of a data cache region, and after finding that new data arrives in the data cache region, first, according to a predetermined inspection rule, inspects the data quality and outputs a data quality inspection report; and after the data is qualified, calling a data merging program, carrying out preprocessing work such as data merging on the new data in the cache region according to a preset rule, and storing the processed data in the ES database cluster through a data input program.