CN111626459A - Method, device and system for confirming topological relation of regional charging network - Google Patents

Method, device and system for confirming topological relation of regional charging network Download PDF

Info

Publication number
CN111626459A
CN111626459A CN201910145499.8A CN201910145499A CN111626459A CN 111626459 A CN111626459 A CN 111626459A CN 201910145499 A CN201910145499 A CN 201910145499A CN 111626459 A CN111626459 A CN 111626459A
Authority
CN
China
Prior art keywords
charging
topological relation
electric energy
charging network
metering device
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910145499.8A
Other languages
Chinese (zh)
Other versions
CN111626459B (en
Inventor
侯铁信
侯飞
汪毅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Dianant Data Technology Co ltd
Original Assignee
Wuhan National Survey Data Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuhan National Survey Data Technology Co ltd filed Critical Wuhan National Survey Data Technology Co ltd
Priority to CN201910145499.8A priority Critical patent/CN111626459B/en
Publication of CN111626459A publication Critical patent/CN111626459A/en
Application granted granted Critical
Publication of CN111626459B publication Critical patent/CN111626459B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Educational Administration (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to the technical field of topological relation of charging networks in a platform area, and provides a method, a device and a system for confirming the topological relation of a regional charging network. The method comprises the steps of determining one or more areas where charging network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each charging metering device contained in the one or more areas; and confirming one or more charging metering devices in the one or more regions and in the charging network topological relation attribution error state according to the electric energy data. The invention provides a method for determining one or more regions which are potentially subjected to charging network topological relation attribution errors, and determining the probability of one or more charging metering devices in the one or more regions in a charging network topological relation attribution error state through electric energy data, so that the labor cost of workers for field investigation is greatly saved, and the investigation efficiency is improved.

Description

Method, device and system for confirming topological relation of regional charging network
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of topological relation of a charging network in a distribution room, in particular to a method, a device and a system for confirming the topological relation of a charging network in a region.
[ background of the invention ]
The wrong regional charging network topology, the conservation of energy relationship between the supply and the use of electricity, is destroyed. The topological relation of the regional charging network is disordered, so that a lot of adverse effects are brought to the production and technical management work of the power industry, and the power industry needs technology to comb the topological relation of the regional charging network urgently to find out the real topological relation of the regional charging network.
In reality, a traditional manual troubleshooting method is generally adopted for solving the topology problem of the power supply range (platform area for short) of the power supply transformer. Specifically, a power supply company uses a large amount of manpower to check the line connection relationship of the individual charging piles until all the charging piles on the power transformer are found out to obtain a real regional charging network topological relationship. Due to the fact that the line is disordered in reality, manual work is not easy to find out clearly.
In recent years, a large amount of research is carried out on a new technology for combing the topological relation of the local charging network by various technical development and research enterprises and teams of Chinese national grid companies, southern grid companies and subordinated enterprises thereof, but a practical method excluding manual operation is not obtained yet.
Among them, a research result of a new technology with a great influence is "voltage-related method". The basic principle of this method is that the voltage change curves measured by all the electric energy meters in one station area in the same time period should be the same. In view of the principle, the strength of the correlation between the voltage time-series data of each charging pile electric energy meter to be judged and the voltage time-series data of the transformer summary table is calculated, and whether the charging pile to be judged belongs to the local area or not can be judged. The defect of the new method is that most electric energy meters do not have the function of transmitting voltage data, and the usability of the new method is greatly limited. This is why this technique cannot be generalized.
In view of the above, overcoming the drawbacks of the prior art is an urgent problem in the art.
[ summary of the invention ]
The technical problem to be solved by the invention is that no method for effectively confirming whether the topological relation of the regional charging network is correct exists in the prior art, and the existing confirmation method is that a power supply company uses a large amount of manpower to check the line connection relation of the charging piles until all the charging piles on the power transformer are found out to obtain a real topological relation of the regional charging network. Due to the fact that the line is disordered in reality, manual work is not easy to find clearly, and efficiency is low.
The invention further solves the technical problem that in the prior art, a manual method for checking the lines of the charging piles one by one is adopted, so that the problem point is difficult to find quickly for the malicious line change situation after the checking is finished, and the topological relation of the charging network in the problem area needs to be checked again at least, thereby causing great resource waste.
In a first aspect, the present invention provides a method for confirming a topological relation of a regional charging network, including:
determining one or more areas where charging network topological relation attribution errors can potentially occur;
acquiring electric energy data corresponding to each charging metering device contained in the one or more areas;
and confirming one or more charging metering devices in the one or more regions in a charging network topological relation attribution error state according to the electric energy data.
In a second aspect, the present invention further provides a system for confirming a topological relation of a regional charging network, including a database server, a charging network topological relation calculation server, and one or more intelligent terminals, specifically:
the database server is used for storing initial affiliation relations of the charging metering devices contained in each region and each region, storing electric energy data reported by each charging metering device and providing a data access interface for the charging network topological relation calculation server;
the charging network topological relation calculation server is used for executing the following process contents:
determining one or more areas where charging network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each charging metering device contained in the one or more areas; calculating one or more charging metering devices in the one or more regions, wherein the charging metering devices have charging network topology relation attribution error probability exceeding a preset threshold value;
and the one or more intelligent terminals are accessed to the charging network topological relation calculation server and used for determining actual topological attribution according to the equipment identification information of the one or more charging metering devices and feeding back the actual topological attribution to the charging network topological relation calculation server.
In a third aspect, the present invention further provides a device for confirming a topological relation of an area charging network, which is used to implement the method for confirming a topological relation of an area charging network in the first aspect, and the device includes:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions programmed to perform the method for area charging network topology relationship validation of the first aspect.
In a fourth aspect, the present invention further provides a non-volatile computer storage medium, where the computer storage medium stores computer-executable instructions, where the computer-executable instructions are executed by one or more processors, and are configured to perform the method for confirming a topological relation of a regional charging network according to the first aspect.
The invention provides a method for determining one or more regions which are potentially subjected to charging network topological relation attribution errors, and determining the probability of one or more charging metering devices in the charging network topological relation attribution error state in the one or more regions through electric energy data, thereby providing more effective investigation basis for workers who need to examine on the spot. The embodiment of the invention has the advantage that the advantage is particularly outstanding for scenes with larger application scale.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic flowchart of a method for confirming a topological relation of a local charging network according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating an effect of distributing a total table and a sub table of a charging metering device in an area according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the distribution effect of the total table and the sub-table of the charging metering device in an area according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a similarity calculation method according to an embodiment of the present invention;
FIG. 5 is a flow chart of another similarity calculation method according to an embodiment of the present invention;
fig. 6 is a schematic flow chart of a similarity calculation method according to an embodiment of the present invention;
fig. 7 is a schematic flowchart of a method for confirming a topological relation of a regional charging network with on-site verification feedback according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a system for confirming a topological relation of a local charging network according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of an electrical energy data storage format according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of another electrical energy data storage format provided by an embodiment of the present invention;
fig. 11 is a schematic structural diagram of an apparatus for confirming a topological relation of a local charging network according to an embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the embodiments of the present invention, the symbol "/" indicates the meaning of having both functions, and the symbol "a and/or B" indicates that the combination between the preceding and following objects connected by the symbol includes three cases of "a", "B", "a and B".
At present, along with the rapid development of electric vehicles, the quantity demand of charging piles is more and more, and a charging network topological relation is formed between transformer and a plurality of charging piles. For example, large-scale parking area, highway all are provided with along the way and residential quarter and fill electric pile, and the user charges for electric automobile through filling electric pile. One transformer may be connected to a plurality of charging piles, and the charging area covered by the transformer and the charging piles is a distribution area. The charging metering device general table is arranged on the side of the transformer and used for metering the charging amount corresponding to all charging piles, and the charging metering device sub table is arranged on the side of each charging pile and used for metering the external charging amount of the corresponding charging pile. For a large-scale charging station, the charging station may include a plurality of stations, and a charging network topology relationship error is likely to occur, so that the normal use of each charging pile can be ensured only after the charging network topology relationship of each station needs to be correctly combed.
In the invention, the topological relation of the regional charging network refers to the connection and attribution relation between the similar distribution area electric energy meter general table (which is the lower concept of the charging metering device general table) and the charging pile electric energy meter sub-table (which is the lower concept of the charging metering device sub-table) of the invention; the connection and affiliation relationship between the station district electric energy meter master meter and each charging pile electric energy meter sub-meter in the industrial park can be realized; the connection and affiliation relationship between the station district electric energy meter master meter and each charging pile electric energy meter sub-meter in the business and residential dual-purpose park can be realized; the connection and attribution relationship between the station area electric energy meter general meter corresponding to the large parking lot and the charging pile electric energy meter sub-meters can be achieved. On the basis of the technical description of this scenario, those skilled in the art can use corresponding technical means in the similar scenario of the above example without creative work, and further description is omitted here.
Theoretically, in a specific application scenario of a distribution room, the electric energy data satisfy an energy conservation relation that the input electric energy of the distribution room (electric energy meter general meter) is equal to the sum of all charging electric energy data (electric energy meter branch meters). The above "conservation of electric energy" can only be established under a correct and true topology relationship of the charging network of the distribution room. In an actual scene, line loss and errors of the charging metering device exist certainly, so that the electric energy conservation relation is a relative relation and is not an absolute strict equivalent relation in a data meaning. One necessary and sufficient condition for the topology relationship of the charging network of the cell (the subordinate concept of the topology relationship of the charging network of the area described in the present invention) to be correct is: a unique set of electric energy data can be found, and at each time point, the above-mentioned relative station area electric energy conservation relation (which will be referred to as the station area energy conservation relation in the following description of the present invention) can be satisfied.
In reality, there may be data in the electric energy data of the distribution room that does not belong to the distribution room, and the electric energy data that originally belongs to the distribution room may not be seen in the distribution room. In this case, a group of data cannot be found so that the energy conservation relation of the distribution room is established, and the charging network topology relation of the distribution room cannot be calculated by using the electric energy data of the distribution room. This is also the reason why the charging network topology of the cell is not calculated using the power data in the cell in the prior art.
The method expands the range of using the electric energy data to select the electric energy data for calculation, and particularly takes the electric energy data of one or more adjacent areas where the charging network topological relation errors potentially occur as the data for calculating the charging network topological relation according to the scheme of the invention. For example: the electric energy data of other station areas belonging to the same charging station as the current station area, the electric energy data of other station areas belonging to the same parking lot as the current station area, the electric energy data of other station areas of the same power supply station as the current station area, and the like.
The method for selecting the electric energy data is matched with the calculation of the topological relation of the charging network of other transformer areas, so that the electric energy data (which will be called as "foreign user" for short) which do not belong to the transformer area can be returned to the transformer area where the electric energy data are supposed to be located, and the electric energy data (which will be called as "escape user" for short) which are 'mistakenly counted to other transformer areas' can be restored back to the transformer area. Therefore, the real charging network topological relation of the local area (and the adjacent area) can be obtained.
In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other. The implementation of the present invention will now be described by way of embodiments in a stepwise fashion.
Example 1:
embodiment 1 of the present invention provides a method for confirming a topological relation of a regional charging network, where a region described in the embodiment of the present invention belongs to a concept that is broader than a distribution area, and as long as the region relates to a mapping relation between a total table (abbreviated as a total table of a charging metering device) and a sub-table (abbreviated as a sub-table of the charging metering device), the region may be divided into a concept of a region, so that it is proposed that the concept of the region is more biased to solve the technical problem that the embodiment of the present invention extends to a scenario where the total table and the sub-table are laid out in the prior art, and for a problem that record information after the layout (the record information here refers to a mapping relation between a logical total table and a sub-table recorded on a server side) does not correspond to an actual layout line, for example: the logical relationship between the master meters and the sub-meters recorded by the server side can occur in the adjacent distribution areas, the adjacent charging stations, the adjacent cells, a distribution network line provided with a plurality of master meters and the like, and the logical relationship is inconsistent with the connection mode between the electric meters in the actual scene. The station area belongs to the most typical aspect of the corresponding problems in the prior art, and the complex problems related to charging, errors of a charging metering device, electricity stealing, electric leakage and the like in the station area belong to the application scene which needs to be solved most urgently at present, and the most basic requirement is to clearly find out the attribution of the charging network topology relationship in the station area, which is also the technical problem which is relatively pertinently solved by the method provided by the embodiment of the invention. As shown in fig. 1, the method of the embodiment of the present invention includes:
in step 201, one or more areas where charging network topology attribution errors are potentially likely to occur are determined.
The determination method here may be simply divided by the information recorded in the database server, for example: the database server records mapping relationships (described as charging network topological relationships in the embodiment of the present invention) between the area general meters and the charging pile electric energy meter sub-meters. Namely, one or more regions where charging network topology attribution errors potentially occur can be calibrated according to the fragment characteristics of the divided geographic positions.
In addition to the above simple potential area calibration according to the partitioned geographical areas, in the implementation process of the embodiment of the present invention, preferably, a mapping relationship between the electric meters (including the summary tables and/or the sub-tables) and each installation device (e.g., the substation box) may be established in combination with a specific installation environment to assist in determining, specifically, a relevant operator may report corresponding setting information of a plurality of summary tables set in the same substation box to the database server, and accordingly, the same substation box or a plurality of summary tables in the same substation may become one of the objects of one or more areas where the charging network topology relationship attribution error potentially may occur. Taking fig. 2 as an example, if the two charging metering device general tables in the area 1 and the area 2 are set in the same substation, it may be considered that the area 1 and the area 2 are one or more areas where a charging network topology relationship attribution error potentially occurs. Specifically, since the charging metering device general table M0 and the charging metering device general table N0 are disposed in the same substation, inconsistency between actual line connection and charging network topology recorded by the database server as shown in fig. 2 may occur in the sub-tables in the area, for example: the lines of the charging metering device sub-table M1 and the charging metering device sub-table N1 are cross-connected, that is, the line of the charging metering device sub-table M1 is connected to the charging metering device general table N0, and the line of the charging metering device sub-table N1 is connected to the charging metering device general table M0, at this time, the charging network topology recorded by the database server is as shown in fig. 2, and the actual line connection is as shown in fig. 3.
In the preferred implementation manner, by further combining the relevant information of the installation environment (the mapping relationship between the established electric meter and each installation device), it is more effective and accurate to perform one or more region division which may potentially cause charging network topology attribution errors, than the above-mentioned one or more region division which is purely based on the data of the total table and the sub-table mapping relationship which are recorded in the database server and divided according to the geographic location. On the other hand, the optimization mode can amplify the analyzed environment in a certain sense, and the effectiveness of finally identifying the charging network topological relation attribution error through calculation is improved. For example: for the reason of subsequent construction, a summary table is newly added in an existing substation, and if corresponding operations are recorded in a database only by the corresponding relationship between the summary table and the sub-tables, possible judgment that charging network topology relationship attribution errors may occur in practice is lost. Because the classification is based only on the electricity usage type or the geographical location of the divided segments, actual environmental considerations between the two within the same substation may be missed.
On the other hand, in an actual situation, for the mapping relationship between the distribution area total table and each charging pile electric energy meter sub-table recorded in the database server, in addition to a possible mapping relationship error between the individual charging pile electric energy meter sub-table and the total table, a possibility of a position error between the directly registered total tables may also occur, and at this time, the analysis range of one or more areas where a charging network topology relationship attribution error potentially occurs may be widened more effectively through the above preferred implementation manner. Still taking fig. 2 as an example, since the charge metering device total table M0 and the charge metering device total table N0 are provided in the same substation, an error may occur in the position between the charge metering device total table MO and the charge metering device N0 registered in the database. This situation is also considered in the validation process of step 203 subsequent to the embodiment of the present invention.
In step 202, electric energy data corresponding to each of the charge metering devices included in the one or more regions is acquired.
In the embodiment of the present invention, the source end obtaining the electric energy data is described as a database server, and the database server is generally expressed as a data management platform of an electric power company in an actual environment, that is, a main body having an electric energy data collecting and storing capability for a total meter of each charging metering device and a sub meter of each charging metering device in an area. The implementation manner of the corresponding main body is not limited to a server in a stand-alone form, and may also be a cloud platform, or the management is completed by a third-party database management platform, which is not particularly limited herein.
In the specific calculation method for subsequent development in the embodiment of the present invention, the use of the electric energy data relates to electric energy data in a continuous time sense, electric energy data in different time periods, electric energy data in a special scene, and the like. Even if the usage of some electric energy data is not directly provided by the existing data management platform similar to the electric power company, the corresponding method proposed by the embodiment of the present invention may be required to process the corresponding electric energy data, and how to process the corresponding electric energy data will be specifically described in the following expanded description of the embodiment of the present invention.
In step 203, one or more charging metering devices in the one or more regions in a charging network topology attribution error state are confirmed according to the electric energy data.
The embodiment of the invention provides a method for determining one or more regions which are potentially subjected to charging network topology relationship attribution errors, and determining the probability (including the foreign households and/or the escape households) of one or more charging metering devices in the one or more regions in a charging network topology relationship attribution error state through electric energy data, so that a more effective investigation basis is provided for field investigation workers. The embodiment of the invention has the advantage that the advantage is particularly outstanding for scenes with larger application scale.
In one or more calculation manners provided by the embodiment of the present invention, the charging network topology relationship attribution error state of the charging metering device is described with probability, which mainly considers that in practice, an application scenario related to the method provided by the present invention usually includes hundreds or even thousands of charging metering devices (a large parking lot is taken as an example, so as to reach thousands of charging piles of about the level, and each charging pile is usually provided with at least one charging metering device sub-table), whereas for a region and a province city, the number of the related charging metering devices is larger, and a specific calculation environment is more complex, especially some charging metering devices relate to long-distance transmission, and the possibility of shunting exists in the transmission process and are shunted under the condition that the charging metering devices are registered by a database server illegally; in addition, errors in the charge metering device itself and line loss in the transmission line complicate the computing environment. Therefore, the environment given to calculation in a real scene is a non-ideal environment, and the corresponding result naturally cannot reach a calculation result with 100% accuracy, so that the embodiment of the invention provides a method for describing the possibility of attribution errors of topological relations of charging networks of the sub-tables of each charging metering device and the total table of the charging metering device by using probabilities. The probability may be calculated by the charging network topology relation calculation server to be seen by a high-level manager, and for a worker in field investigation, the probability may be obtained only by obtaining an assignment task that requires to verify the attribution of the charging network topology relation of the one or more charging metering devices. That is to say, through the method in the embodiment of the present invention, the manner of displaying the one or more charging metering devices in the charging network topology attribution error state may be various, and is not particularly limited in the embodiment of the present invention.
Through the above analysis, in the one or more regions, the one or more charging metering devices that are in the charging network topology attribution error state described in step 203 of the embodiment of the present invention have a specific expression that: and calculating one or more charging metering devices in the one or more regions, wherein the charging metering devices have charging network topological relation attribution error probability exceeding a preset threshold value. The preset threshold may be set by an operator, for example: a first dimension: according to the embodiment of the invention, one or more charging metering devices in the charging network topology relationship attribution error state calculated by the field investigation staff are checked, and after the checking result is fed back to obtain the corresponding calculation accuracy, the dynamic setting is carried out (generally, the lower the accuracy is, the higher the corresponding preset threshold value can be set). In addition to this, a second dimension can be considered: after each round of on-site investigation by a worker, dynamically setting the number of the one or more charging metering devices in the charging network topology relationship attribution error state according to the updated charging network topology relationship (usually, if the number obtained by recalculation is large, the corresponding preset threshold value can be set to be correspondingly lower). Preferably, the two dimensions are considered together, and a third dimension is further added: the number of charging metering devices which are allowed to be checked every time a worker goes out for field investigation; the preset threshold determined by the three dimensions can be used for completing the investigation of the charging metering device with the error probability in the shortest time to the maximum extent.
In the embodiment of the invention, at least the following three specific modes are provided for calculating the correlation between the electric energy data of the charging metering device general table in each area and the electric energy data of one or more charging metering devices which are established with charging network topological relation attribution in each area in the current record.
Mode one, as shown in fig. 4:
in step 301, the one or more regions are exhausted, and each charge metering device can form a combination between the total charge metering device table in each region and the sub-charge metering device table contained in the corresponding region.
Although described as exhaustive, the actual operation may be more varied and complicated than that described in step 301, for example: for the total list of the regional charge metering devices and the sub-list of the charge metering devices in the corresponding region, for which the overcharge network topology relationship has been verified historically, the total list of the regional charge metering devices and the sub-list of the charge metering devices in the corresponding region may exist in a fixed form as known quantities in each combination, i.e., the verified charge network topology relationship (considered correct) is not added to the exhaustive process in step 301, thereby simplifying the calculation process in the first mode.
However, in a strict consideration during the specific operation process, it is preferable that, in the initial several rounds of calculation, the historically verified charging network topology relationship may be used as a correct known quantity, and if there is still a large similarity deviation after several rounds of demonstration, on the basis of the charging metering device of the charging network topology relationship verified by the method provided in the embodiment of the present invention, the historically verified charging network topology relationship also needs to be added as an object to be verified to the exhaustive object in step 301 in the embodiment of the present invention.
In step 302, the electric energy Z is measured according to the total energy of the charging meteriAnd the sum F of the sub-meter electric energy of the charging metering device contained in the corresponding area in the corresponding combinationiCalculating ZiAnd FiThe difference between the two and/or the variance of the difference between the two.
Where i indicates the ith combination. And for the electric energy Z of the general meteriFor example, it may use power data for a specified duration as the corresponding ZiThe parameter value can also be selected as the corresponding Z according to the electric energy data in a certain time periodiThe parameter value can also adopt the combination of electric energy data in time intervals as the corresponding ZiThe parameter values. The method is not particularly limited, and the preferred method for selecting the parameter values will be described in detail in the data analysis section of the embodiment of the present invention.
In step 303, the calculated Z for each combination is comparediAnd FiAnd obtaining the probability that each combination belongs to the correct charging network topological relation by the difference of the two and/or the variance of the difference of the two.
Wherein, step 302 and step 303 describe a round of ZiAnd FiThe two are compared, and in a specific operation, the number of comparison can be multiple groups, and for the multiple groups of comparison process, the corresponding power data also needs to be configured with multiple groups. The simple conclusion is that, generally, the more times of comparison, the more occupied computing resources of the power utilization topology data computing server, the longer the corresponding computing time, but the accuracy of the corresponding computing result is also improved to some extent, and finally, how to choose or consider the actual computing environment and the actual number of workers in field investigation is to adjust, which is not described herein again.
In step 304, one or more charging metering devices with the probability of charging network topology relationship attribution error exceeding a preset threshold are calibrated according to the actually obtained charging network topology relationship attribution relationship and the obtained probability that each combination is charging network topology relationship attribution correct.
In the embodiment of the invention, the probability that the charging network topological relation is correctly attributed is only description on data representation and is also a name on visual representation; in the academic world, more can be described as simple pearson correlation coefficient, and the expression of the simple pearson correlation coefficient is as follows:
Figure BDA0001979875330000111
wherein, cov (Z)i，Fi) Is the above-mentioned ZiAnd FiThe covariance between the two is such that,
Figure BDA0001979875330000112
is ZiStandard deviation of (1), ρFIs FiStandard deviation of (2), expression
Figure BDA0001979875330000113
Is the product of the standard deviations of the two. Pearson's simple correlation coefficient
Figure BDA0001979875330000114
Is always between-1.0 and 1.0, variables close to 0 are said to be uncorrelated, and variables close to 1 or-1 are said to have strong correlation, also described as probabilities in the embodiments of the present invention. For convenience of comparison, generally in a preferred implementation of an embodiment of the invention, the pearson simple correlation coefficient may be given
Figure BDA0001979875330000115
The absolute values are taken or squared before comparison.
In a specific operation process, the one or more charging metering devices, of which the attribution error probability of the topology relation of the charging network is calibrated to exceed the preset threshold value, can directly send the relevant information of the charging metering device to be verified to the intelligent terminal of the working personnel for field investigation through the intelligent terminal provided in the subsequent system embodiment of the invention and the working personnel for field investigation completes the investigation work on site.
Mode two, as shown in fig. 5:
in step 401, the one or more regions are exhausted, and each charge metering device can form a combination between the total charge metering device table in each region and the sub-charge metering device table contained in the corresponding region.
Although described as exhaustive, the actual operation may be more varied and complicated than that described in step 401, for example: for the total list of the regional charge metering devices and the sub-list of the charge metering devices in the corresponding region, for which the overcharge network topology relationship has been verified historically, the total list of the regional charge metering devices and the sub-list of the charge metering devices in the corresponding region may exist in a fixed form as known quantities in each combination, i.e., the verified charge network topology relationship (considered correct) is not added to the exhaustive process in step 401, thereby simplifying the calculation process of the whole method two.
However, in a strict consideration during the specific operation process, it is preferable that, in the initial several rounds of calculation, the historically verified charging network topological relation may be used as a correct known quantity, and if there is still a large similarity deviation after several rounds of demonstration, on the basis of the charging metering device of the charging network topological relation verified by the method provided in the embodiment of the present invention, the historically verified charging network topological relation also needs to be added as an object to be verified to the exhaustive object in step 401 in the embodiment of the present invention.
In step 402, an array (Z) is formed based on the total energy Z of the charge metering devicek1,Zk2,…,Zkj) And an array (F) of sums F of sub-meters of the charge metering devices contained in the corresponding zones of the respective combinationsk1,Fk2,…,Fkj) And calculating the similarity of the two.
Wherein, k is the serial number of the corresponding data group for calculating the similarity, j is the number of data included in each group of data, and the data is specifically the electric energy data reported by the charging metering device. In the embodiment of the present invention, in addition to the foregoing manner, for calculating the similarity, a complex correlation coefficient, a partial correlation coefficient and/or a pearson simple correlation coefficient (similar to the pearson simple correlation coefficient described in step 304, and also similar to the spearman-level sperman correlation coefficient and the kendall correlation coefficient, which are not described herein) known in the art may be used to implement the similarity, and thus, no further description is provided herein.
To determine the variable F (F)k1,Fk2,…,Fkj) With other plural variables (Z)k1,Zk2,…,Zkj) The correlation coefficient between the two can be considered to construct a correlation (Z)k1,Zk2,…,Zkj) By calculating the linear combination of F (F) andk1,Fk2,…,Fkj) Simple correlation coefficient between the variables F and (Z)k1,Zk2,…,Zkj) A complex correlation coefficient R between.
Figure BDA0001979875330000121
Figure BDA0001979875330000122
In step 403, calibrating one or more charging metering devices in which the probability of the charging network topology relationship attribution error exceeds a preset threshold according to the actually obtained charging network topology relationship attribution relationship and the obtained probability that each combination is the charging network topology relationship attribution correct.
In a specific operation process, the one or more charging metering devices, of which the attribution error probability of the topology relation of the charging network is calibrated to exceed the preset threshold value, can directly send the relevant information of the charging metering device to be verified to the intelligent terminal of the working personnel for field investigation through the intelligent terminal provided in the subsequent system embodiment of the invention and the working personnel for field investigation completes the investigation work on site. Compared with the first mode, the second mode has higher precision and belongs to a specific development form of a preferred implementation mode in the first mode.
Mode three, as shown in fig. 6:
in step 501, when the charging pile electric energy meter to be determined is removed or added, the Z is calculatediAnd FiThe difference of the two and/or the variance of the two.
The charging pile electric energy meter to be determined is removed, and the charging pile electric energy meter to be determined is added, which actually corresponds to the concepts of 'foreign households' and 'escape households' introduced by the invention. Therefore, in the first and second three-phase comparison manners, the original means for solving the correct probability of the charging network topology relationship of the specific charging metering device through the similarity of various combinations is converted into the means for introducing the concepts of "foreign households" and "escape households" into the calculation process, the correct probability of the charging network topology relationship of each charging metering device is calculated on the basis of one initial combination, and the error type of the charging metering device is also judged.
In step 502, all of the charging pile electric energy meters to be determined or the combination thereof are exhaustively calculated,at the time of addition or withdrawal of FiWhen is brought to ZiAnd FiAnd the difference value of the charging pile and the charging network topological relation and/or the variance of the charging pile and the charging network topological relation are/is changed towards minimization, so that the probability that the charging pile electric energy meter to be judged or the combination of the charging pile electric energy meter to be judged belongs to the correct charging network topological relation is judged.
In comparison, the third method can obtain the calculation result more effectively than the first and second methods, but the third method is relatively more suitable for a scenario in which the charging network topology relationship of the remaining charging metering devices needs to be confirmed after the charging network topology relationship of a part of the charging metering devices has been historically confirmed. Because the number of effective charge metering devices (i.e., charge metering devices with correct charging network topology) included in the initial combination is larger at this time, the accuracy of the final calculation result is better guaranteed.
It should be emphasized that, in the method for calculating various correlation coefficients (including the calculation method in step 304) provided in the embodiment of the present invention, the provided specific calculation formulas (for example, the above formula for calculating the complex correlation coefficient R) are all one or more of the correlation coefficient calculation methods applicable to the embodiment of the present invention, and those skilled in the art can apply other similarity calculation methods to the embodiment of the present invention without creative efforts based on the technical ideas disclosed in the embodiment of the present invention, and all of them fall within the protection scope of the embodiment of the present invention.
In the first, second and third modes, the topology relationship of the charging network of the historically verified charging metering device is described, and the topology relationship can be used as known correct information in the initial several calculation cycles. Corresponding operations can greatly improve or improve the calculation efficiency, however, there are some preferable technical means based on the area charging network topology relation confirmation method provided by the embodiment of the present invention, and the exhaustive combination number in the first method, the second method and the third method can be further simplified. The specific description is as follows:
the charging network topological relation calculation server can complete the verification of each charging metering device and the attributive region according to the power circuit maintenance record at the data management platform side and the original attributive region information of each charging metering device; and/or the presence of a gas in the gas,
the charging network topological relation calculation server can complete the verification of each charging metering device and the attributive region according to the abnormal value of the feedback metering data of the charging metering device exceeding the preset threshold and the original attributive region information of each charging metering device;
the above verification results are taken as known fixed attributes in the exhaustive combination, and the exhaustive combination-related operation is performed for the charge metering devices that are not verified. Wherein the known fixed attribute is taken as an invariant, is excluded from an exhaustive range as an inherent attribute, and is directly added to the combination as the content included in the combination.
The scheme provides a preferable technical means, which can combine line maintenance and metering data abnormity which occur historically, and each charging metering device which can finish charging network topological relation attribution verification in advance is taken as a fixed attribute by using an exclusion method and the like, and is excluded from the exhaustive range of the step 301 or the step 401, so that the calculated amount is further reduced, and the calculation efficiency of the regional charging network topological relation confirmation method provided by the embodiment of the invention is improved.
The line maintenance can be line maintenance for each charging pile, can also be line maintenance for charging stations, and can also be line maintenance for regions, and the corresponding line maintenance can bring short charging vacuum period, so that verification of charging network topological relation in individual regions is possible. For example, because of line maintenance, a power failure measure is taken for charging of a certain platform area, however, actually, a certain charging metering device sub-table corresponding to the platform area is still working, it can be determined through the above analysis that attribution of the charging network topology relationship between the charging metering device sub-table and the charging metering device general table of the platform area is definitely wrong verification information, and when the verification information is used to be exhaustive in step 301 or step 401, the possibility of combining the charging metering device sub-table and the charging metering device general table of the platform area can be reduced. The abnormal data may be abnormal power consumption caused by an emergency, such as a block power outage caused by construction, a block power outage caused by a natural disaster, and the like, and the effect of the abnormal data for the embodiment of the present invention is similar to that of the above-mentioned electric line maintenance from the side, but the abnormal data is lower in reliability.
In the embodiment of the invention, for the operation mode of conducting field investigation by the staff committing the field investigation, the investigation result can be fed back to the charging network topological relation calculation server, so as to realize a feedback type iterative calculation. Therefore, in connection with the embodiment of the present invention, there is also a preferred embodiment, as shown in fig. 7, the method further includes:
in step 601, a verification result returned by the field work staff is obtained, wherein the verification result is used for determining whether charging network topological relation attribution of the one or more charging metering devices is correct.
The charging metering devices in the charging network topology relationship are subjected to charging network topology relationship attribution errors, and the charging metering devices are not absolute results in a strict sense. Further, the information related to the charging metering device carried in the task of verifying by each field-surveyed worker is actually triggered, or the charging metering device is screened according to the preset threshold determined in step 304 or step 403, so that there is a possibility that the corresponding charging network topology relationship is attributed to be correct or incorrect after the field-surveyed worker verifies.
In step 602, the verification result is iterated to the charging network topology relationship attribution calculation process, and one or more charging metering devices with the updated charging network topology relationship attribution error probability exceeding a preset threshold are obtained.
As will be explained by combining the first, second, and third manners, the verification result involved in step 602 is iterated to the charging network topology relationship attribution calculation process, specifically, the verification result returned in step 601 is used as a new fixed attribute, and step 301 to step 304 and/or step 401 to step 403 are re-executed. As can be seen from the above description, the first mode, the second mode and the third mode may be alternatively used in the embodiment of the present invention, or the two modes may be used in parallel in the embodiment of the present invention, and are not described herein again.
With reference to the embodiment of the present invention, there is also a preferred implementation scheme, wherein before step 201 is executed, the method processes in step 201 to step 203 are usually executed until the difference between the sum of the electric energy of the total meter of the charge metering device in a certain area and the sum of the electric energy of the sub-meters of the charge metering device exceeds a second preset threshold, otherwise, it is determined that the charging network topology relationship of the corresponding area is normal, and the method processes in step 201 to step 203 are not required. Therefore, in this preferred implementation, generally before determining one or more regions where charging network topology relationship attribution errors are potentially likely to occur, the method further comprises:
respectively calculating the relationship between the electric energy data of the charging metering device general meter of each district and the electric energy data sum of the sub-meters of each charging metering device in the district, and confirming one or more target areas with charging network topological relation attribution errors;
the determining one or more regions where the charging network topology relationship attribution error potentially occurs is specifically implemented as follows: and determining one or more regions which are potentially subjected to charging network topological relation attribution errors with the one or more target regions according to the one or more target regions.
Example 2:
in the above embodiment 1, as for the calculation of the correlation between the electric energy data of the total meter of the charging metering devices in each area and the electric energy data of the one or more charging metering devices in the current record, which have charging network topology relationship attribution established with each area, a plurality of combinations are formed mainly based on all the sub-meters of the charging metering devices included in the area in an exhaustive manner, and then the one or more charging metering devices with wrong attribution relationship are determined according to different calculation methods.
When the magnitude of the charging metering device is huge, the corresponding number of combinations is huge, and the efficiency of calculation processing is extremely low. In order to improve efficiency, the present embodiment proposes an improved scheme based on embodiment 1 for an actual application scenario.
Because the charging pile exists, the charging pile is in an inoperative state under the condition of no charging, and the electric energy data of the charging pile is zero. In practical use, the charging pile may be in an idle state (not charging outside), for example, at the early morning time, the charging pile in a parking lot near a shopping mall may be in an idle state; in the morning or afternoon, the charging piles in the parking lot in the cell may be in an idle state.
Based on the foregoing characteristics, the method for confirming a topological relation of a regional charging network according to this embodiment may obtain, for an attribute of a region, electric energy data of each charging metering device in the region based on a preset time period, and divide, for the same preset time period, each charging metering device whose electric energy data in each region is not zero into one initial judgment set, and determine one or more charging metering devices with an incorrect attribution relation, with each initial judgment set being one computing unit. The attributes of the areas are determined according to the use conditions of the charging piles in a certain time period, for example, the charging pile use rate in a residential community is high at night, and the charging pile use rate in the community is low in daytime; and the parking lots near the shopping mall and the parking lots in the company are opposite in condition, so that the attributes of the parking lots and the parking lots are different, and different preset time periods can be set.
The preset time period may be a plurality of time periods, and the preset time period may be obtained by dividing the time period by one day (24 hours), for example, the preset time period may be 22:00pm-09:00am, 09:00am-20:00pm, and the like. In the time period corresponding to 09:00am-20:00pm, a resident may drive to go out for playing, the charging pile in the community is likely to be in an idle state, the electric energy data of partial meters of the charging metering device is zero, in the time period corresponding to 22:00pm-09:00am, the charging pile in a parking lot near a shopping mall is likely to be in an idle state, the charging pile in the parking lot of a company is likely to be in an idle state, and the electric energy data of partial meters of the charging metering device is zero.
And configuring different preset time periods aiming at areas with different attributes to obtain a primary judgment set, taking the primary judgment set as a calculation unit after the primary judgment set is determined, and calculating one or more charging metering devices, which are in the primary judgment set and have the attribution error probability of the charging network topology relation exceeding a preset threshold value, according to the electric energy data.
Specifically, the correlation between the electric energy data of the total meter of the charging metering device and the electric energy data of one or more sub-meters of the charging metering device, to which the charging network topology relationship is established, in the current record in the initial judgment set corresponding to each region can be calculated; and determining one or more charging metering devices with the charging network topology relationship attribution error probability exceeding a preset threshold according to the correlation.
Similar to embodiment 1, at least three specific ways are provided for calculating the correlation between the electric energy data of the total meter of the charging metering device and the electric energy data of the sub-meter of the one or more charging metering devices, to which the topological relation of the charging network is established, in the initial judgment set corresponding to each region.
The first method is as follows:
in this embodiment, the number of the initial determination sets is one or more, and depends on the number of the preset time periods. First, in the initial judgment set, each charge metering device can constitute a combination between the total charge metering device list in each area and the sub-charge metering device list contained in the corresponding area. Then, according to the electric energy Z of the charging metering deviceiAnd the sum F of the sub-meter electric energy of the charging metering device contained in the corresponding area in the corresponding combinationiCalculating ZiAnd FiThe difference of the two and/or the variance of the difference of the two; where i indicates the ith combination. Further, the calculated Z of each combination is comparediAnd FiAnd obtaining the probability that each combination belongs to the correct charging network topological relation by the difference of the two and/or the variance of the difference of the two. Finally, marking the charging network topological relation attribution correct probability according to the actually obtained charging network topological relation attribution relation and the obtained combinationAnd determining one or more charging metering devices with the charging network topological relation attribution error probability exceeding a preset threshold.
When the initial judgment sets are multiple, the first mode is adopted in sequence, the initial judgment sets are used as calculation units, and one or more charging metering devices with the probability of charging network topology relation attribution errors exceeding a preset threshold value are calibrated.
The first embodiment is basically the same as the first embodiment in example 1, and is different from the first embodiment only in an exhaustive list, where the first embodiment in the first embodiment is a sub-list of all the charge metering devices in the area, and the first embodiment in the second embodiment in the first embodiment in the second embodiment.
For a specific implementation process of the first mode of this embodiment and a corresponding calculation method, reference is made to the first mode of embodiment 1, and details are not described here.
The second method comprises the following steps:
in this embodiment, the number of the initial determination sets is one or more, and depends on the number of the preset time periods. First, in the initial judgment set, each charge metering device can constitute a combination between the total charge metering device list in each area and the sub-charge metering device list contained in the corresponding area. Then, an array (Z) is formed according to the electric energy Z of the total meter of the charging metering devicek1,Zk2,…,Zkj) And an array (F) of sums F of sub-meters of the charge metering devices contained in the corresponding zones of the respective combinationsk1,Fk2,…,Fkj) Calculating the similarity of the two; wherein k is the serial number of the corresponding data group for calculating the similarity, and j is the number of data included in each group of data. And finally, calibrating one or more charging metering devices with the probability of charging network topological relation attribution error exceeding a preset threshold according to the actually acquired charging network topological relation attribution relation and the probability of charging network topological relation attribution correctness of each obtained combination.
And when the initial judgment set is multiple, sequentially adopting a second mode, and taking the initial judgment set as a calculation unit to calibrate one or more charging metering devices with the probability of charging network topology relation attribution errors exceeding a preset threshold.
The second mode of this embodiment is substantially the same as the second mode of embodiment 1, and is different from the second mode of embodiment 1 only in an exhaustive list, where the second mode of embodiment 1 in an exhaustive list is a list of all the charging metering devices in the area, and the second mode of embodiment in an exhaustive list is a list of all the charging metering devices in the initial judgment set, so that the order of magnitude can be greatly reduced, and the processing efficiency can be improved.
For a specific implementation process of the second mode of this embodiment and a corresponding calculation method, refer to the second mode of embodiment 1, and are not described herein again.
The third method comprises the following steps:
in a practical application scenario, through the initial judgment set, an effective sub-table of the charge metering device (i.e. a charge metering device with a correct charging network topology relationship) may be determined, but some sub-tables of the charge metering device may not be in the initial judgment set (for convenience of description, such sub-tables of the charge metering device are sub-tables of the charge metering device to be determined), and it is necessary to calculate and determine whether the attribution relationship of the sub-table of the charge metering device to be determined is correct.
In order to improve the efficiency of data processing, the charging network topological relation correctness probability of each charging metering device to be determined can be calculated on the basis that the charging network topological relation of a part of the charging metering devices is historically confirmed so as to determine whether the attribution relation is correct or not.
The specific implementation mode is as follows: on the basis of the first mode, when a charging pile electric energy meter to be judged is removed or added, the Z is calculatediAnd FiThe difference value of the two and/or the variance change of the two, all charging pile electric energy meters to be judged or the combination of the charging pile electric energy meters are exhaustively calculated, and F is added or withdrawniWhen is brought to ZiAnd FiAnd the difference value of the charging pile and the charging network topological relation and/or the variance of the charging pile and the charging network topological relation are/is changed towards minimization, so that the probability that the charging pile electric energy meter to be judged or the combination of the charging pile electric energy meter to be judged belongs to the correct charging network topological relation is judged.
The principle and implementation process of the third embodiment of the present invention are substantially the same as those of the third embodiment of embodiment 1, and reference may be specifically made to the third embodiment of embodiment 1, and details are not described here.
In comparison, the third method can obtain the calculation result more effectively than the first and third methods, and the third method is more suitable for a scenario in which the charging network topology relations of the remaining charging metering devices need to be confirmed after the charging network topology relations of a part of the charging metering devices have been historically confirmed.
Different from the embodiment 1, the embodiment divides the time period for collecting electric energy according to the attribute and the geographical position of the area, and then preliminarily groups the charging metering devices according to the actual use condition, so that the magnitude of data processing is greatly reduced, and the processing efficiency is improved.
Example 3:
on the basis that the embodiment 1 of the present invention provides a method for confirming a topological relation of a local charging network, the embodiment of the present invention further provides a system for confirming a topological relation of a local charging network, which can be used to complete the corresponding method described in the embodiment 1, and therefore, the corresponding technical contents described in the embodiment of the present invention can also be applied to the method in the embodiment 1.
As shown in fig. 8, the charging network topology relation computing server includes a database server, a charging network topology relation computing server, and one or more intelligent terminals, and in the embodiment of the present invention, in consideration of the possibility of the scale of the data volume of a specific application scenario, the charging network topology relation computing server may adopt a single host form or a cloud platform implementation form, which is not particularly limited herein. The system specifically comprises:
the database server is used for storing initial affiliation relations of the charging metering devices contained in each region and each region, storing electric energy data reported by each charging metering device and providing a data access interface for the charging network topological relation calculation server;
the charging network topological relation calculation server is used for executing the following process contents:
determining one or more areas where charging network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each charging metering device contained in the one or more areas; calculating one or more charging metering devices in the one or more regions, wherein the charging metering devices have charging network topology relation attribution error probability exceeding a preset threshold value;
and the one or more intelligent terminals are accessed to the charging network topological relation calculation server and used for determining actual topological attribution according to the equipment identification information of the one or more charging metering devices and feeding back the actual topological attribution to the charging network topological relation calculation server.
In the embodiment of the invention, the intelligent terminal can be a professional detection device and is attached with the data interaction capacity of a charging network topological relation calculation server; or, the intelligent terminal is a general intelligent mobile phone, and the determination of the corresponding topology attribution may be completed by a professional detection device, and a worker who examines in the field transmits the verification result data to the charging network topology relation calculation server through the intelligent terminal.
The embodiment of the invention provides a method for determining one or more regions which are potentially subjected to charging network topological relation attribution errors, and determining the probability of one or more charging metering devices in the charging network topological relation attribution error state in the one or more regions through electric energy data, so that a more effective troubleshooting basis is provided for field investigation workers. The embodiment of the invention has the advantage that the advantage is particularly outstanding for scenes with larger application scale.
In the embodiment of the present invention, the charging metering device specifically corresponds to charging piles located in each cell under one distribution area; or the charging metering device specifically corresponds to the charging piles located in the parking lot under one platform area.
Due to the fact that topological relations of charging network of the transformer area are different in degree of disorder, electric energy data of different transformer areas are also different greatly. Different and applicable mathematical models can be constructed for different district electric energy data, different algorithms are selected, and the topological relation of the district charging network can be calculated with higher efficiency. And the corresponding model and algorithm are stored in the charging network topological relation calculation server in advance. Several exemplary models are described in detail below:
model 1, summary table and branch table and residual (and residual variance) minimization model (the model 1 corresponds to the first mode in embodiment 1)
Model: min { residual } ═ summary table-sublist sum (1)
min{σResidual error}＝σSummary table-branch table and(2)
physically, the mechanism by which model 1 holds is:
by using the combination of the formula (1), the fixed station area general table and the one-to-one exhaustive distribution table, the combination of the station area general table and the station area table which can enable the residual error to be the minimum value is calculated, and the combination can form a topological relation of a real station area charging network, and is a high-probability event.
By using the formula (2), the combination of the fixed station area general table and the one-to-one exhaustive distribution table, the combination of the station area general table and the station area table which can enable the variance value of the residual error to be the minimum value is calculated, and the combination can form a real station area charging network topological relation which is a high-probability event.
When the errors of the electric energy meters are ignored, if all the branch meters in the "branch meters and" in the formula (1) are the charging pile electric energy meters in the distribution area, the residual error in the formula (1) is equal to 0, and when the errors of the electric energy meters are considered, the residual error is equal to the sum of the errors of the electric energy meters and is a very small electric quantity, so that the branch meter with the minimum residual error is formed, and the event of all the electric energy meters in the distribution area is just a high-probability event. Even so, the criterion of minimum residual error is only used as a necessary condition of correct topological relation of the charging network in the transformer area, and is not a sufficient condition. On the contrary, when the sub-meters and the middle-station-area external electric energy meter exist, the residual error tends to become larger.
The significance of equation (2) is that, even when the error factor of the electric energy meter is considered, when the sub-sum is just all the electric energy meters in the station area, theoretically, the variance of the residual error is 0 (the residual error is 0, which is an essential condition for "the topological relation of the charging network of the station area is correct"). In practice, the variance of the residual is not 0, but a value very close to 0. When the partial table sum has an algorithm: the exhaustive charging metering device forms a partial table and a partial table, and simultaneously satisfies the partial table of the formula (1) and the partial table of the formula (2) and the real charging network topological relation under the general table. On the contrary, when the sub-meters and the power meters outside the distribution area exist in the middle, the residual variance value tends to become larger.
Since the equations (1) and (2) can be used for distinguishing the electric energy meters inside and outside the transformer area, the invention combines the equations as one of a set of mathematical models for calculating the topological relation of the charging network of the transformer area.
Model 2, model for calculating correlation coefficient between partial table and general table (the model 2 corresponds to the second mode in example 1)
Figure BDA0001979875330000211
Wherein, w0iIs the data read i-th time of the table block summary table, wkiThe data is read for the ith time by the kth block of the transformer area, the model 2 needs to read the electric energy data of the transformer area for multiple times, and the reading times are counted as m times.
The mechanism by which model 2 holds is:
by means of the formula (3), the table area summary w is fixed0iAnd selecting a sub-meter and a sub-meter structure in a selectable (the potential suspicion of the charging pile electric energy meter in the station area is the charging pile electric energy meter in the station area + the charging pile electric energy meter in the adjacent station area) electric energy data set (the maximum number of the charging piles can reach N)
Figure BDA0001979875330000212
(where N is 1,2, … … N) to obtain a different value of N
Figure BDA0001979875330000213
A total combination of the tables and amounts, each selected from
Figure BDA0001979875330000214
One-to-one exhaustive calculation of w0iAnd
Figure BDA0001979875330000215
the correlation coefficient between the two is calculated to find the one with the maximum correlation coefficient (the correlation coefficient is close to 1) in the total combination
Figure BDA0001979875330000216
Dividing and measuring of
Figure BDA0001979875330000217
It is a high probability event that the table and the above-mentioned table summary table together can constitute a true table charging network topological relation. Model 2 may be used as a mathematical model for the charging network topology relationship combing calculation of the platform.
W in equation (3) under the condition of neglecting the influence of errors of the electric energy meter0iAnd
Figure BDA0001979875330000221
should be equal to the integer 1, considering the error of the electric energy meter, w in the formula (3)0iAnd
Figure BDA0001979875330000222
the correlation coefficient between should be equal to a positive constant very close to 1.
Even so, because the influence of the error of the electric energy meter is unpredictable, the topological relation of the charging network of the distribution area calculated by taking the formula (3) as the criterion is only a rough probability event, and cannot be used as the topological relation of the charging network of the distribution area determined by 100%.
In view of the fact that the electric energy meters in the distribution area can be discriminated by using the formula (3), the invention uses the electric energy meters in the distribution area as one of a set of mathematical models for independently calculating the topological relation of the distribution area charging network.
Model 3, model for calculating the derivation relationship between the correlation coefficients of the partial tables and the general table (the model 3 corresponds to the first mode or the second mode for improvement by using the power line repair record or the data abnormal value in the embodiment 1, and corresponds to the processes of step 501 to step 502)
Figure BDA0001979875330000223
Wherein, w0iIs the data read i-th time of the table block summary table, wkiIs the data read for the ith time of the block table of the k-th block of the platform area,
Figure BDA0001979875330000224
is already determinable as a table of the table within the zone,
Figure BDA0001979875330000225
the model 3 given by the formula (4) needs to read the electric energy data of the transformer area for multiple times, and the reading times are counted as m times.
The mechanism by which model 3 holds is:
by means of the formula (4), the table area summary w is fixed0iAnd
Figure BDA0001979875330000226
remove but
Figure BDA0001979875330000227
In the selectable (the potential suspect of the charging pile electric energy meter in the station area is the charging pile electric energy meter in the station area + the charging pile electric energy meter in the adjacent station area) electric energy data set (the maximum number of the charging piles can reach N), selecting a sub-meter and constructing
Figure BDA0001979875330000228
(where N is 1,2, … … N) to obtain a different value of N
Figure BDA0001979875330000229
(n-n1) combinations of tables and amounts, each of which is selected from the (n-n1) combinations
Figure BDA00019798753300002210
One-to-one exhaustive calculation
Figure BDA00019798753300002211
And
Figure BDA00019798753300002212
the correlation coefficient between the (n-n1) combinations is found by calculation to be the one having the largest correlation coefficient (correlation coefficient close to 1)
Figure BDA00019798753300002213
To separate tables and amounts, this "
Figure BDA00019798753300002214
Separate and compare with the above
Figure BDA00019798753300002215
Together, the quantities may constitute a true platform charging network topology "is a high probability event. Model 3 may be used as one of the mathematical models for the topology relationship combing calculation of the charging network of the platform.
Neglecting the effect of the error of the electric energy meter, in the formula (4)
Figure BDA0001979875330000231
And
Figure BDA0001979875330000232
should be equal to the integer 1, considering the error of the electric energy meter, the correlation coefficient between the two should be equal to the integer 1
Figure BDA0001979875330000233
And
Figure BDA0001979875330000234
the correlation coefficient between should be equal to a positive constant very close to 1.
Even so, because the influence of the error of the electric energy meter is unpredictable, the topological relation of the charging network of the distribution area calculated by taking the formula (4) as the criterion is only a rough probability event, and cannot be used as the topological relation of the charging network of the distribution area determined by 100%.
In view of the fact that the electric energy meters in the distribution area can be discriminated by using the formula (4), the invention uses the electric energy meters in the distribution area as one of a set of mathematical models for independently calculating the topological relation of the distribution area charging network.
The above-described incompletely deterministic nature of the computational results of the present invention applies to each mathematical model. Alternatively, there is no mathematical model that has the ability to indiscriminately calculate the true charging network topology of a distribution area.
The calculation target is to obtain the topological relation of the charging network of the station area with the maximum probability (probability value), and different station area electric energy data are different for the same mathematical model, so that different calculation methods need to be selected.
For example, for the model 2, the sizes of the sub-tables and the correlation coefficient with the general table are compared and calculated to determine whether some electric energy meters belong to the region or belong to the region. In selecting the type of correlation coefficient, a complex correlation coefficient, a partial correlation coefficient, a pearson simple correlation coefficient, or the like may be selected.
Similarly, for the model 3, a complex correlation coefficient, a partial correlation coefficient, a pearson simple correlation coefficient, and the like may also be selected.
Various regression algorithms, various machine learning algorithms to train mathematical models, etc. may be used for model 1.
The technical solution formed by obtaining other similar implementable models based on the disclosed models by those skilled in the art without creative work will also fall within the protection scope of the present invention.
Which algorithm needs to be selected can also be self-learned in the calculation process through a computer. The embodiment of the invention can use the algorithm of the integration method in machine learning to respectively select different algorithms for the different mathematical models and the electric energy data to respectively calculate the real and correct calculation results of the topological relation of the charging network of the transformer area. Different models and algorithms are then given different weights to arrive at a comprehensive calculation conclusion. The method can be specifically implemented in the charging network topology relation calculation server in this embodiment.
Example 4:
whether the method steps described in example 1 or the various models described in example 2 calculate the probability of one or more charge metering devices being attributed to an error condition (including at least both the probability of an alien user and the probability of an escape user, and may also include a summary registration error probability, etc.), the energy data reported by each charge metering device recorded in the database server needs to be used. However, in the case where we further consider the error of the charge metering device itself, and the error of the charge metering device under different load currents is segmented, further optimization processing is further proposed in the embodiment of the present invention as the input parameter for calculating the probability of one or more charge metering devices in the charging network topology attributing error states in the above-mentioned embodiments 1 and 2.
As shown in fig. 9, the data format reported by a typical charging metering device stored in the database server is shown, wherein, for different charging metering devices, in addition to the voltage-load current pair format (as shown in fig. 9), the voltage-load current pair format may also be used (as shown in fig. 10), and the two formats are equivalent; however, two ways have common characteristics in the embodiments of the present invention: the load current is recorded. Then, when the parameter value is specifically taken, the electric energy data of different charging metering devices related to the same calculation process is considered, and the load current at the same or adjacent energy level is extracted as much as possible, so that the electric energy data of the large-span load current in the calculation process can bring large fluctuation to the error deviation of the same charging metering device, and the accuracy of the final calculation result is influenced. As described herein, the operation may be performed according to a percentage reference value, so that the accuracy of the calculation is improved by the above-mentioned screening mechanism of the electric energy data participating in the calculation under the condition that the electric energy data itself is abundant. The embodiment 3 of the invention is particularly suitable for the situation that the calculation capacity of the charging network topological relation calculation server is abundant.
Example 5:
fig. 11 is a schematic structural diagram of a device for confirming a topological relation of a local charging network according to an embodiment of the present invention. The device for confirming the topological relation of the area charging network of the present embodiment includes one or more processors 21 and a memory 22. In fig. 11, one processor 21 is taken as an example.
The processor 21 and the memory 22 may be connected by a bus or other means, and fig. 11 illustrates the connection by a bus as an example.
The memory 22, which is a nonvolatile computer-readable storage medium, may be used to store a nonvolatile software program and a nonvolatile computer-executable program, such as the area charging network topology relation confirmation method in embodiment 1. The processor 21 executes the area charging network topology relation confirmation method by executing the nonvolatile software program and instructions stored in the memory 22.
The memory 22 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 22 may optionally include memory located remotely from the processor 21, and these remote memories may be connected to the processor 21 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions/modules are stored in the memory 22, and when executed by the one or more processors 21, perform the method for confirming the topology relationship of the area charging network in the above embodiment 1, for example, perform the steps shown in fig. 1, fig. 4, fig. 5, and fig. 7 described above.
It should be noted that, for the information interaction, execution process and other contents between the modules and units in the apparatus and system, the specific contents may refer to the description in the embodiment of the method of the present invention because the same concept is used as the embodiment of the processing method of the present invention, and are not described herein again.
Those of ordinary skill in the art will appreciate that all or part of the steps of the various methods of the embodiments may be implemented by associated hardware as instructed by a program, which may be stored on a computer-readable storage medium, which may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
Charging post electric energy meter the above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (15)

1. A method for confirming topological relation of a regional charging network is characterized by comprising the following steps:
determining one or more areas where charging network topological relation attribution errors can potentially occur;
acquiring electric energy data corresponding to each charging metering device contained in the one or more areas;
and confirming one or more charging metering devices in the one or more regions in a charging network topological relation attribution error state according to the electric energy data.
2. The method for confirming the topological relation of the regional charging network according to claim 1, wherein the step of confirming one or more charging metering devices in the one or more regions that are in the charging network topological relation attribution error state specifically comprises:
and calculating one or more charging metering devices in the one or more regions, wherein the charging metering devices have charging network topological relation attribution error probability exceeding a preset threshold value.
3. The method for confirming topological relation of regional charging network according to claim 2, further comprising:
and the field investigation staff verifies the actual charging network topological relation attribution condition according to the equipment identification information of the one or more charging metering devices.
4. The method for confirming the topological relation of the regional charging network according to claim 3, wherein after the field staff verifies the attribution of the topological relation of the actual charging network according to the device identification information of the one or more charging metering devices, the method further comprises:
obtaining a verification result whether charging network topological relation attribution of the one or more charging metering devices is correct or not, wherein the verification result is returned by the field investigation staff;
and iterating the verification result to the charging network topological relation attribution calculation process to obtain one or more charging metering devices with the updated charging network topological relation attribution error probability exceeding a preset threshold value.
5. The method for confirming the topological relation of the regional charging network according to claim 2, wherein the calculating of the one or more charging metering devices in the one or more regions where the charging network topological relation attribution error probability exceeds a preset threshold specifically includes:
calculating the correlation between the electric energy data of the charging metering device general meter in each area and the electric energy data of one or more charging metering devices which are established with charging network topological relation attribution in each area in the current record;
and determining one or more charging metering devices with the charging network topology relationship attribution error probability exceeding a preset threshold according to the correlation.
6. The method for confirming the topological relation of the regional charging network according to claim 5, wherein the calculating the correlation between the electric energy data of the charging metering device general table in each region and the electric energy data of one or more charging metering devices which establish the charging network topological relation attribution in each region in the current record specifically comprises:
exhausting the one or more areas, wherein each charging metering device can form a combination between a charging metering device total table in each area and a charging metering device sub table contained in the corresponding area;
according to the electric energy Z of the charging metering deviceiAnd the sum F of the sub-meter electric energy of the charging metering device contained in the corresponding area in the corresponding combinationiCalculating ZiAnd FiThe difference of the two and/or the variance of the difference of the two; wherein i indicates the ith combination;
comparing calculated Z of each combinationiAnd FiAnd obtaining the probability that each combination belongs to the correct charging network topological relation by the difference of the two and/or the variance of the difference of the two.
7. The method for confirming the topological relation of the regional charging network according to claim 6, wherein the calculating the correlation between the electric energy data of the charging metering device general table in each region and the electric energy data of one or more charging metering devices which establish the charging network topological relation attribution in each region in the current record specifically comprises:
calculating Z when removing or adding the charging pile electric energy meter to be judgediAnd FiA difference between the two and/or a variance of the two;
exhaustively calculating all charging pile electric energy meters to be judged or combinations thereof, and adding or quitting FiWhen is brought to ZiAnd FiAnd the difference value of the charging pile and the charging network topological relation and/or the variance of the charging pile and the charging network topological relation are/is changed towards minimization, so that the probability that the charging pile electric energy meter to be judged or the combination of the charging pile electric energy meter to be judged belongs to the correct charging network topological relation is judged.
8. The method for confirming the topological relation of the regional charging network according to claim 5, wherein the calculating the correlation between the electric energy data of the charging metering device general table in each region and the electric energy data of one or more charging metering devices which establish the charging network topological relation attribution in each region in the current record specifically comprises:
exhausting the one or more areas, wherein each charging metering device can form a combination between a charging metering device total table in each area and a charging metering device sub table contained in the corresponding area;
array formed according to charging metering device total meter electric energy Z (Z)k1,Zk2,…,Zkj) And an array (F) of sums F of sub-meters of the charge metering devices contained in the corresponding zones of the respective combinationsk1,Fk2,…,Fkj) Calculating the similarity of the two; wherein k is the serial number of the corresponding data group for calculating the similarity, and j is the number of data contained in each group of data;
and according to the actually obtained charging network topological relation attribution relation and the obtained probability that each combination is correct in attribution of the charging network topological relation.
9. The method for confirming topological relation of regional charging network according to any one of claims 6 to 8, wherein before exhausting said one or more regions, each charging metering device can constitute a combination between a charging metering device total table in each region and a charging metering device sub-table contained in a corresponding region, the method further comprises:
according to the power circuit maintenance record at the data management platform side and/or the charging metering device feedback metering data abnormal value exceeding the preset threshold value and the original attributive area information of each charging metering device, completing the verification of each charging metering device and the attributive area;
the above verification results are taken as known fixed attributes in the exhaustive combination, and the exhaustive combination-related operation is performed for the charge metering devices that are not verified.
10. The method for confirming topological relation of regional charging network according to any one of claims 2 to 8, wherein the electric energy data of each charging metering device is stored according to corresponding relation between the electric energy data and the load current, and when the corresponding electric energy data is used for the calculation, the method further comprises:
and for the respective electric energy data of different charging metering devices related to the same round of calculation process, extracting the electric energy data of the same or adjacent load current as parameter values for calculation.
11. The method for confirming topological relation of regional charging network according to claim 1, wherein before determining one or more regions where charging network topological relation attribution errors potentially occur, the method further comprises:
respectively calculating the relationship between the electric energy data of the charging metering device general meter of each district and the electric energy data sum of the sub-meters of each charging metering device in the district, and confirming one or more target areas with charging network topological relation attribution errors;
the determining one or more regions where the charging network topology relationship attribution error potentially occurs is specifically implemented as follows: and determining one or more regions which are potentially subjected to charging network topological relation attribution errors with the one or more target regions according to the one or more target regions.
12. The method according to claim 1, wherein the obtaining of the electric energy data corresponding to each charging metering device included in the one or more areas comprises:
setting a preset time period based on the attribute of the region, and acquiring electric energy data corresponding to the charging metering devices contained in each region according to the preset time period;
and aiming at the same preset time period, dividing each charging metering device with the electric energy data not being zero into the same initial judgment set.
13. The charging network topological relation confirmation method according to claim 12, wherein each region includes at least one initial judgment set;
the one or more charging metering devices which are in the charging network topology relationship attribution error state in the one or more regions according to the electric energy data comprise:
and calculating one or more charging metering devices in the initial judgment set, wherein the attribution error probability of the topological relation of the charging network exceeds a preset threshold value according to the electric energy data.
14. A system for confirming topological relation of a regional charging network is characterized by comprising a database server, a charging network topological relation calculation server and one or more intelligent terminals, and specifically comprises the following steps:
the database server is used for storing initial affiliation relations of the charging metering devices contained in each region and each region, storing electric energy data reported by each charging metering device and providing a data access interface for the charging network topological relation calculation server;
the charging network topological relation calculation server is used for executing the following process contents:
determining one or more areas where charging network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each charging metering device contained in the one or more areas; calculating one or more charging metering devices in the one or more regions, wherein the charging metering devices have charging network topology relation attribution error probability exceeding a preset threshold value;
and the one or more intelligent terminals are accessed to the charging network topological relation calculation server and used for determining actual topological attribution according to the equipment identification information of the one or more charging metering devices and feeding back the actual topological attribution to the charging network topological relation calculation server.
15. An apparatus for confirming topology relationship of a local charging network, the apparatus comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor and programmed to perform the method for area charging network topology relationship validation of any of claims 1-13.
CN201910145499.8A 2019-02-27 2019-02-27 Method, device and system for confirming topological relation of regional charging network Active CN111626459B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910145499.8A CN111626459B (en) 2019-02-27 2019-02-27 Method, device and system for confirming topological relation of regional charging network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910145499.8A CN111626459B (en) 2019-02-27 2019-02-27 Method, device and system for confirming topological relation of regional charging network

Publications (2)

Publication Number Publication Date
CN111626459A true CN111626459A (en) 2020-09-04
CN111626459B CN111626459B (en) 2024-04-30

Family

ID=72259596

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910145499.8A Active CN111626459B (en) 2019-02-27 2019-02-27 Method, device and system for confirming topological relation of regional charging network

Country Status (1)

Country Link
CN (1) CN111626459B (en)

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5436909A (en) * 1990-09-17 1995-07-25 Cabletron Systems, Inc. Network management system using status suppression to isolate network faults
CN1182879A (en) * 1996-11-19 1998-05-27 刘强 Power line-carrier intelligent measuring system for preventing fraudulent use electric energy
CN101296477A (en) * 2008-06-24 2008-10-29 中国移动通信集团北京有限公司 Method and device for planning network topological
WO2013158123A1 (en) * 2012-04-20 2013-10-24 Itron, Inc. Automatic network topology detection and fraud detection
WO2015003414A1 (en) * 2013-07-12 2015-01-15 中国人民解放军理工大学 Quick network topology inference method based on multi-parameter cognition
EP3065250A1 (en) * 2015-03-05 2016-09-07 BKW Energie AG Method and device for determining the topology of a power supply network
US20160371792A1 (en) * 2014-03-10 2016-12-22 Huawei Technologies Co., Ltd. Method and Apparatus for Mining Social Relationship Based on Financial Data
US20170048110A1 (en) * 2015-08-11 2017-02-16 At&T Intellectual Property I, L.P. Dynamic Virtual Network Topology Discovery Engine
CN106485604A (en) * 2016-11-01 2017-03-08 北京中电普华信息技术有限公司 A kind of data processing method of topological structure of electric and device
CN106910140A (en) * 2017-01-09 2017-06-30 浙江大学 A kind of method based on SVG form power system wiring diagram Network topologies
CN106992517A (en) * 2017-04-28 2017-07-28 国网山东省电力公司莱西市供电公司 Electric power line loss analysis method, device and system
CN108183475A (en) * 2017-12-27 2018-06-19 国网河南省电力公司电力科学研究院 A kind of low-voltage network topology reconstruction method and device
CN108535543A (en) * 2018-05-22 2018-09-14 宁波三星医疗电气股份有限公司 Taiwan area phase recognition methods based on concentrator Yu ammeter synchronized sampling

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5436909A (en) * 1990-09-17 1995-07-25 Cabletron Systems, Inc. Network management system using status suppression to isolate network faults
CN1182879A (en) * 1996-11-19 1998-05-27 刘强 Power line-carrier intelligent measuring system for preventing fraudulent use electric energy
CN101296477A (en) * 2008-06-24 2008-10-29 中国移动通信集团北京有限公司 Method and device for planning network topological
WO2013158123A1 (en) * 2012-04-20 2013-10-24 Itron, Inc. Automatic network topology detection and fraud detection
WO2015003414A1 (en) * 2013-07-12 2015-01-15 中国人民解放军理工大学 Quick network topology inference method based on multi-parameter cognition
US20160371792A1 (en) * 2014-03-10 2016-12-22 Huawei Technologies Co., Ltd. Method and Apparatus for Mining Social Relationship Based on Financial Data
EP3065250A1 (en) * 2015-03-05 2016-09-07 BKW Energie AG Method and device for determining the topology of a power supply network
US20170048110A1 (en) * 2015-08-11 2017-02-16 At&T Intellectual Property I, L.P. Dynamic Virtual Network Topology Discovery Engine
CN106485604A (en) * 2016-11-01 2017-03-08 北京中电普华信息技术有限公司 A kind of data processing method of topological structure of electric and device
CN106910140A (en) * 2017-01-09 2017-06-30 浙江大学 A kind of method based on SVG form power system wiring diagram Network topologies
CN106992517A (en) * 2017-04-28 2017-07-28 国网山东省电力公司莱西市供电公司 Electric power line loss analysis method, device and system
CN108183475A (en) * 2017-12-27 2018-06-19 国网河南省电力公司电力科学研究院 A kind of low-voltage network topology reconstruction method and device
CN108535543A (en) * 2018-05-22 2018-09-14 宁波三星医疗电气股份有限公司 Taiwan area phase recognition methods based on concentrator Yu ammeter synchronized sampling

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
夏水斌;余鹤;董重重;孙秉宇;张乐群;: "基于集抄系统深化应用的低压台区电网拓扑重构方案", 电测与仪表, no. 20, 25 October 2017 (2017-10-25), pages 115 - 120 *
耿俊成 等: "基于离群点检测的低压配电网拓扑结构校验", 《电力信息与通信技术》, vol. 15, no. 5, pages 61 - 65 *
耿俊成;吴博;万迪明;袁少光;: "基于离群点检测的低压配电网拓扑结构校验", 电力信息与通信技术, no. 05, 15 May 2017 (2017-05-15), pages 65 - 69 *
马静 等: "一种新型电网拓扑错误辨识方法", 《电力自动化设备》, vol. 36, no. 1, pages 82 - 88 *

Also Published As

Publication number Publication date
CN111626459B (en) 2024-04-30

Similar Documents

Publication Publication Date Title
CN111999692B (en) Multi-table error calibration method and device
CN104794206B (en) A kind of substation data QA system and method
CN112035544B (en) Power distribution network data anomaly monitoring and diagnosis method
Hülk et al. Allocation of annual electricity consumption and power generation capacities across multiple voltage levels in a high spatial resolution
CN111313399B (en) Method, device and system for confirming topological relation of regional power utilization network
CN113189451A (en) Power distribution network fault positioning studying and judging method, system, computer equipment and storage medium
CN111881124A (en) Data processing method and system based on state estimation of improved algorithm
CN109034616A (en) A kind of statistical analysis system based on intelligent substation configuration data control
CN105119282A (en) On-line calculation system and method for theoretical line loss of power grid
CN111999691A (en) Error calibration method and error calibration device for metering sensor device
Atat et al. Stochastic geometry-based model for dynamic allocation of metering equipment in spatio-temporal expanding power grids
KR101848923B1 (en) Apparatus and method for validating meter data
CN110826228A (en) Regional power grid operation quality limit evaluation method
CN118244191B (en) Uninterrupted power supply's electric power collection metering system
CN104732340B (en) Target plans power grid aid decision-making method when one kind is based on year
CN111226254A (en) Reliability of network maps
Wei et al. Online distribution system topology monitoring with limited smart meter communication
Xiang et al. A traffic flow based planning strategy for optimal siting and sizing of charging stations
CN107146166A (en) Accessory system is planned in a kind of distribution
CN112581306B (en) Exhaustive-based regional network topological relation confirmation method, device and system
CN111626459A (en) Method, device and system for confirming topological relation of regional charging network
CN111623243B (en) Method, device and system for confirming network topological relation of regional oil pipe network
CN109242270A (en) Verification method based on battalion's auxiliary tone perforation data
CN113807982B (en) Method and equipment for identifying household change relation of platform area
CN112583004B (en) Method and system for identifying circuit topology based on voltage discreteness and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right

Effective date of registration: 20210714

Address after: 570000 1508, Hisense Huating, No.8, Jinxing Road, Longhua District, Haikou City, Hainan Province

Applicant after: Hainan Guoshi Data Technology Co.,Ltd.

Address before: 430023 room 05, 5 / F, building 3, space science and technology headquarters, No.38, Tangxun Hubei Road, Donghu New Technology Development Zone, Wuhan City, Hubei Province

Applicant before: Wuhan National Survey Data Technology Co.,Ltd.

TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20210729

Address after: 518000 b1005, mingshige building, 4068 Jiefang Road, laowei community, Guiyuan street, Luohu District, Shenzhen, Guangdong

Applicant after: Shenzhen dianant Data Technology Co.,Ltd.

Address before: 570000 1508, Hisense Huating, No.8, Jinxing Road, Longhua District, Haikou City, Hainan Province

Applicant before: Hainan Guoshi Data Technology Co.,Ltd.

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant