CN111626459B - 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

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CN111626459B
CN111626459B CN201910145499.8A CN201910145499A CN111626459B CN 111626459 B CN111626459 B CN 111626459B CN 201910145499 A CN201910145499 A CN 201910145499A CN 111626459 B CN111626459 B CN 111626459B
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electric energy
metering devices
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charging network
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CN111626459A (en
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侯铁信
侯飞
汪毅
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Shenzhen Dianant Data Technology Co ltd
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Abstract

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

Description

Method, device and system for confirming topological relation of regional charging network
[ Field of technology ]
The present invention relates to the field of a topology relationship of a charging network of a station, and in particular, to a method, an apparatus and a system for confirming a topology relationship of a charging network of a region.
[ Background Art ]
The wrong regional charging network topology, the energy conservation relationship between the power supplies is destroyed. The regional charging network topological relation is disordered, so that a great deal of adverse effect is brought to the production and technical management work of the power industry, and the power industry needs to comb the regional charging network topological relation to find out the real regional charging network topological relation.
In reality, a conventional manual investigation method is generally adopted in a method for solving the topology problem of the power supply range (transformer area for short) of a power supply transformer. The power supply company uses a great deal of manpower to check the connection relation of each charging pile line until all the charging piles on the power transformer are found out, and a real regional charging network topology relation is obtained. Because the circuit is chaotic in reality, people often cannot easily check clearly.
In recent years, the national power grid company, the southern power grid company and the subordinate enterprises thereof, the enterprises and team of various technical development research classes have made a great deal of researches on new technologies for carding the topological relation of the regional charging network, but a method which excludes manual operation and is more practical has not been obtained.
Among them, a new technological research effort with a great influence is the "voltage-related method". The basic principle of this method is that the voltage change curves measured by all the electric energy meters in one 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 total voltage time series data of the transformer is calculated, so that whether the charging pile to be judged belongs to or does not belong to the local area can be judged. The disadvantage of this new method is that most of the electric energy meters do not have the function of transmitting voltage data, and there is no voltage data, and the usability of this new method has a huge limitation. This is also why this technique cannot be generalized.
In view of this, overcoming the drawbacks of the prior art is a problem to be solved in the art.
[ Invention ]
The invention aims to solve the technical problem that in the prior art, a method for effectively confirming whether the topological relation of the regional charging network is correct is not available, and the existing confirmation mode is that a power supply company uses a large amount of manpower to check the circuit connection relation of each charging pile until all charging piles on the power transformer are found out, so that a real topological relation of the regional charging network is obtained. Because the circuit is chaotic in reality, the manual work is often difficult to check clearly, and the efficiency is low.
The invention further solves the technical problems that in the prior art, a mode of manually checking each charging pile line is adopted, so that the problem point is difficult to find rapidly under the condition of malicious line serial change after checking, and the charging network topology relationship in the problem area is required to be checked again at least, so that great resource waste is caused.
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 topology attribution errors potentially occur;
Acquiring electric energy data corresponding to each charging metering device contained in one or more areas;
And according to the electric energy data, confirming one or more charging metering devices in the error state of the topology relation of the charging network in the one or more areas.
In a second aspect, the present invention further provides a system for confirming a topological relation of a regional charging network, which includes a database server, a charging network topological relation calculation server and one or more intelligent terminals, specifically:
The database server is used for storing the initial attribution relation of each area and the charging metering devices contained in the area, storing the 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 topology attribution errors potentially occur; acquiring electric energy data corresponding to each charging metering device contained in one or more areas; according to the electric energy data, calculating one or more charging metering devices with the probability of error attribution of the topology relation of the charging network exceeding a preset threshold value in the one or more areas;
The one or more intelligent terminals are accessed to the charging network topology relation calculation server, and are used for determining actual topology attribution according to the equipment identification information of the one or more charging metering devices and feeding back to the charging network topology relation calculation server.
In a third aspect, the present invention further provides a device for confirming a topological relation of a regional charging network, which is used for implementing the method for confirming a topological relation of a regional 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 being programmed to perform the method of confirming a topology of a regional charging network according to the first aspect.
In a fourth aspect, the present invention also provides a non-volatile computer storage medium storing computer executable instructions for execution by one or more processors to perform the method for confirming a topological relation of a local charging network according to the first aspect.
The invention provides a method for determining one or more areas with potential attribution errors of the charging network topology, and determining the probability of one or more charging metering devices in the attribution error state of the charging network topology in the one or more areas through electric energy data, so that more effective investigation basis is provided for field investigation staff. The embodiment of the invention has the effect advantage, and the advantage is particularly outstanding for scenes with larger application scale.
[ Description of the drawings ]
In order to more clearly illustrate the technical solution of the embodiments of the present invention, the drawings that are required to be used in the embodiments of the present invention will be briefly described below. It is evident that the drawings described below are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a schematic flow chart of a method for confirming topological relation of a regional charging network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram showing distribution effects of 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 view of distribution effects of a total table and a sub-table of a 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 flowchart of another similarity calculation method according to an embodiment of the present invention;
FIG. 6 is a flowchart of a similarity calculation method according to an embodiment of the present invention;
Fig. 7 is a schematic flow chart of a method for confirming a topological relation of a regional charging network with field verification feedback according to an embodiment of the present invention;
Fig. 8 is a schematic architecture diagram of a topology relationship confirmation system 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 provided by 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 a device for confirming topological relation of a regional charging network according to an embodiment of the present invention.
[ Detailed description ] of the invention
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In the embodiments of the present invention, the symbol "/" means that there are two functions at the same time, and the symbol "a and/or B" means that the combination between the front and rear objects connected by the symbol includes three cases "a", "B", "a and B".
At present, along with the rapid development of electric automobiles, the number of charging piles is also more and more required, and a charging network topological relation is formed between a transformer and a plurality of charging piles. For example, large parking lots, highway along roads and residential communities are provided with charging piles through which users charge electric vehicles. A transformer may be connected to a plurality of charging piles, and the charging area that the transformer and the charging piles can cover is a transformer area. The transformer side is provided with a charging metering device summary table for metering the charging amounts corresponding to all the charging piles, and each charging pile side is provided with a charging metering device sub-table for metering the charging amounts corresponding to the charging piles. Aiming at a large-scale charging station, the charging station possibly comprises a plurality of areas, the situation that the topological relation of the charging network is wrong is easy to occur, and the charging network topological relation of each area needs to be correctly combed to ensure the normal use of each charging pile.
In the invention, the topological relation of the regional charging network refers to the connection and attribution relation between the electric energy meter total table of the similar platform area (which is the lower concept of the electric energy meter total table of the charging metering device) and the electric energy meter sub-table of the charging pile (which is the lower concept of the electric energy meter sub-table of the charging metering device); the connection and attribution relation between the total table of the electric energy meters in the transformer area and the sub-tables of the electric energy meters of each charging pile in the industrial park can also be realized; the connection and attribution relation between the total table of the electric energy meters in the transformer area and the sub-table of each electric energy meter of the charging pile in the business-to-residence dual-purpose park can also be realized; the method can also be the connection and attribution relation between the total table of the electric energy meters of the platform region corresponding to the large-scale parking lot and the sub-table of the electric energy meter of the charging pile, and the like. Based on the technical description of this scenario, a person skilled in the art can use the corresponding technical means in a similar scenario to the above example without creative effort, and the following description is omitted.
In theory, in a specific application scenario of the transformer area, the electric energy data meets the energy conservation relation that the input electric energy of the transformer area (the total table of electric energy meters) is equal to the sum of all the charging electric energy data (the sub tables of electric energy meters). The above-mentioned "conservation of electric energy" can only be established under the correct, true topological relation of the charging network of the district. In an actual scene, the line loss and the error of the charging metering device exist, so that the electric energy conservation relationship is a relative relationship and is not an equivalent relationship in the absolute strict data sense. A necessary and sufficient condition for the correctness of the site charging network topology (the underlying concept of the regional charging network topology described in the present invention) is: a unique set of power data can be found that at each point in time satisfies the above-described relative energy conservation relationship for the region (the energy conservation relationship for the region will be referred to simply as the region in the following of the present invention).
In reality, there may be data in the electric energy data of the area that does not belong to the area, and there may be electric energy data that originally belongs to the area that cannot be seen in the area. In this case, a group of data cannot be found so that the energy conservation relationship of the station is established, and the charging network topology relationship of the station cannot be calculated by using the electric energy data of the station. This is why the prior art does not use the power data in the cells to calculate the charging network topology of the cells.
The invention expands the range of using the electric energy data to select the electric energy data for calculation, in particular to the electric energy data of one or more areas adjacent to other areas which are potentially wrong in the topological relation of the charging network, and the electric energy data is also used as the data for calculating the topological relation of the charging network according to the scheme of the invention. For example: the electric energy data of other areas belonging to the same charging station as the present area, the electric energy data of other areas belonging to the same parking lot as the present area, the electric energy data of other areas of the same power supply station as the present 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 areas, the electric energy data (abbreviated as "external user" in the embodiment of the invention) which does not belong to the area can be returned to the area where the electric energy data is supposed to be, and the electric energy data (abbreviated as "escape user" in the embodiment of the invention) which is counted by the error to the other areas can be returned to the area. Thus, the real charging network topology relationship of the present area (and the adjacent area) can be obtained.
In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other. The implementation of the present invention will now be described in a stepwise fashion by means of various embodiments.
Example 1:
The embodiment 1 of the present invention provides a method for confirming topological relation of a regional charging network, which belongs to a broader concept of a relative platform region, and can be divided into a regional concept as long as the regional concept relates to a mapping relation between a total table (short for a total table of a charging metering device) and a sub table (short for a sub table of a charging metering device), so that the technical problem solved by the embodiment of the present invention is more biased to the concept of the regional concept, and extends to the technical problem related to a total table and sub table layout scene in the prior art, and for the problem that the record information after layout (the record information here refers to the mapping relation between the total table and the sub table on the logic recorded on the server side) and the actual layout line do not correspond, for example: the logic relationship between the total table and the sub table recorded on the server side can occur in the adjacent station area, the adjacent charging station, the adjacent cell, one distribution network line provided with a plurality of total tables, and the like, and is inconsistent with the connection mode among the electric meters in the actual scene. The platform area belongs to the most typical aspect of the corresponding problems in the prior art, and the complex problems of charging, billing, charging metering device errors, power stealing, electric leakage and the like are related to the platform area, and belong to the application scene which needs to be solved most urgently at present, wherein the most fundamental requirement is to comb the attribution of the topology relation of the charging network in the platform area, which is also the technical problem which is relatively solved in a targeted way. As shown in fig. 1, the method of the embodiment of the present invention includes:
In step 201, one or more regions where charging network topology attribution errors potentially 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 the mapping relation (described as the topology relation of the charging network in the embodiment of the invention) between the total table of each area and the sub table of each charging pile electric energy meter. And the calibration of one or more areas with potential attribution errors of the topological relation of the charging network can be performed according to the characteristics of the areas of the divided geographic positions.
In addition to the above simple calibration of the potential area according to the divided geographical areas, in the implementation process of the embodiment of the present invention, it may be preferable to establish, in conjunction with a specific installation environment, a mapping relationship between an ammeter (including a summary table and/or a sub table) and each installation device (for example, a transformer box) to assist in determining, specifically, a related operator may report corresponding setting information of a plurality of summary tables set in the same transformer box to the database server, and accordingly, the same transformer box or a plurality of summary tables in the same transformer box may become one of objects of one or more areas where the topology relationship attribution error of the charging network may potentially occur. Taking fig. 2 as an example, if the two charging metering devices in the area 1 and the area 2 are provided in the same power transformation box, the area 1 and the area 2 can be considered as one or more areas where the charging network topology relationship attribution errors potentially occur. Specifically, since the total table M0 of the charging metering device and the total table N0 of the charging metering device are disposed in the same transformer box, the sub-tables in the area may have inconsistent actual line connection and the topology relationship of the charging network recorded by the database server as shown in fig. 2, for example: the lines of the charge metering device sub-table M1 and the charge metering device sub-table N1 are cross-connected, that is, the line of the charge metering device sub-table M1 is connected to the total table N0 of the charge metering device, and the line of the charge metering device sub-table N1 is connected to the total table M0 of the charge metering device, at this time, the topology relationship of the charge network recorded by the database server is shown in fig. 2, and the actual line connection relationship is shown in fig. 3.
In the preferred implementation manner, by further combining the related information of the installation environment (the mapping relationship between the built ammeter and each installation device), the method is more effective and accurate than the above-mentioned method which simply uses the data recorded in the database server and according to the mapping relationship between the total table and the sub table of the geographic location division, to perform one or more region divisions in which the topology relationship of the charging network is potentially wrong. On the other hand, the preferable mode can amplify the analyzed environment in a certain sense, and the effectiveness of finally identifying the attribution error of the topological relation of the charging network through calculation is improved. For example: for the reason of subsequent construction, a total table is newly added in the existing transformer substation, and if the corresponding operation is recorded in the database only by the corresponding relation between the total table and the sub table, the possible judgment that the attribution error of the topological relation of the charging network is possibly generated in practice is lost. Because the classification is only by charging type or by geographical location of the division, the actual environmental consideration between the two in the same substation may be missed.
In a further aspect, in a practical situation, for the mapping relationship between the total table of the platform area and each sub-table of the electric energy meter of the charging pile recorded in the database server, besides the possible mapping relationship error between the sub-table of the electric energy meter of the individual charging pile and the total table, the possible position error between the directly registered total tables may also occur, and at this time, by adopting the preferred implementation manner, the analysis range of one or more areas where the attribution error of the topology relationship of the charging network potentially occurs can be more effectively widened. Still taking fig. 2 as an example, in which the charge metering device total table M0 and the charge metering device total table N0 are disposed in the same power transformation box, an error condition may occur in the position between the charge metering device total table MO and the charge metering device N0 entered in the database. This is also considered during the subsequent validation of step 203 of an embodiment of the present invention.
In step 202, electrical energy data corresponding to each of the charge metering devices contained within the one or more regions is obtained.
The source end for acquiring the electric energy data is described as a database server in the embodiment of the invention, and the database server is usually represented as a data management platform of an electric power company in an actual environment, namely, a main body for collecting and storing the electric energy data of the total table of each charging metering device and the sub table of the charging metering device in an area range. The implementation manner of the corresponding main body is not limited to a server in a single form, but can be a cloud platform or a third-party database management platform for completing management, and is not limited in particular.
In the subsequent developed specific calculation method of the embodiment of the 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 special scenes and the like. Even if some electric energy data cannot be directly provided by the existing data management platform of similar electric power company, the corresponding method provided by the embodiment of the present invention is needed to process the corresponding electric energy data, and how to process the corresponding electric energy data will be specifically described in the following description of the embodiment of the present invention.
In step 203, one or more charging metering devices in the charging network topology attribution error state in the one or more areas are confirmed according to the electric energy data.
The embodiment of the invention provides one or more areas where the attribution errors of the charging network topology relation potentially occur, and determines the probability (including the foreign households and/or escaping households) of one or more charging metering devices in the attribution error state of the charging network topology relation in the one or more areas through the electric energy data, so that more effective investigation basis is provided for the field investigation staff, and compared with the way that the field investigation staff need to charge the metering devices one by one in the prior art, the manpower cost is saved to a great extent, and the investigation efficiency is improved. The embodiment of the invention has the effect advantage, and the advantage is particularly outstanding for scenes with larger application scale.
In one or more calculation modes provided by the embodiment of the invention, the description is mainly given of the fault state attribution of the charging network topology relation of the charging metering device with probability, which mainly considers that in practice, the application scene related to the method provided by the invention generally comprises hundreds or even thousands of charging metering devices (for example, a large parking lot can reach about thousands of charging piles, and each charging pile is usually provided with at least one charging metering device sub-table), and for a region and province, the number of related charging metering devices is larger, and the specific calculation environment is more complex, especially, some of the charging metering devices are related to long-distance transmission, and the possibility of shunting exists in the transmission process and is shunted under the condition of being registered by a non-regular database server; in addition, errors in the charge metering device itself and line losses on the transmission line can complicate the computing environment. Therefore, the computing environment in the real scene is a non-ideal environment, and the corresponding result can not reach 100% accurate computing result naturally, so the embodiment of the invention provides a probability for describing the possibility of the fault of the sub-meter of each charging metering device and the total table of the charging metering devices in the topology relation of the charging network by using the probability. The probability can be calculated by the charging network topology relation calculation server for an advanced manager to see, and can be only an assignment task which is required to verify the attribution of the charging network topology relation of the one or more charging metering devices can be obtained for a field investigation worker. That is, by the method of the embodiment of the present invention, the display manner of completing the one or more charging metering devices in the fault state of the charging network topology relationship may be various, and the embodiment of the present invention is not particularly limited.
Through the above analysis, in the determining the one or more areas described in step 203 of the embodiment of the present invention, one or more charging metering devices in a state of error of attribution of a topology of a charging network exist in a specific manner: and calculating one or more charging metering devices with the probability of occurrence of the attribution error of the charging network topology relationship exceeding a preset threshold in the one or more areas. The preset threshold may be set by an operator, for example: first dimension: according to the method, a worker in field investigation checks one or more charging metering devices in the charging network topology attribution error state calculated according to the embodiment of the invention, and after the feedback check result obtains the corresponding calculation accuracy, dynamic setting is carried out (generally, the lower the accuracy is, the corresponding preset threshold can be set to be higher correspondingly). In addition to this, a second dimension can also be considered: after each round of field investigation, the number of one or more charging metering devices in the attribution error state of the charging network topology relation is dynamically set according to the number of the charging metering devices calculated by the updated charging network topology relation (generally, the number obtained by recalculation is large, and the corresponding preset threshold value can be set to be lower). Preferably, the two dimensions are considered together, and a third dimension is further added: the number of charging metering devices allowed to be inspected every time a worker on site inspects is attendance; the preset threshold value determined by the three dimensions can finish the investigation of the charge metering device with the error probability to the greatest extent in the shortest time.
In the embodiment of the invention, at least the following three specific modes are provided for calculating the correlation between the total electric energy data of the charging metering devices in each area and the electric energy data of one or more charging metering devices which are established with the charging network topology relationship in each area in the current record.
Mode one, as shown in fig. 4:
In step 301, each of the charge metering devices in the one or more zones may be exhaustive of combinations between a total of charge metering devices in each zone and a sub-table of charge metering devices contained within the corresponding zone.
Although the description is exhaustive, it is in practice more varied and complex than the one described in step 301, for example: the total list of charging metering devices in the region and the sub-list of charging metering devices in the corresponding region, for which the charging network topology has been verified historically, may then be present in each combination as a known quantity in a fixed form, i.e. the charging network topology that has been verified (considered correct) is no longer added to the exhaustive process in step 301, thus simplifying the overall mode one calculation process.
However, in a specific operation process, in a strict consideration, it is preferable that in an initial several rounds of calculation process, the historically verified charging network topology relationship be used as a correct known quantity, and if a large similarity deviation still exists after several rounds of demonstration, on the basis of the charging metering device of the charging network topology relationship verified by the method proposed by the embodiment of the present invention, the historically verified charging network topology relationship also needs to be added to the exhaustive object in step 301 as the object to be verified.
In step 302, the difference between Z i and F i and/or the variance of the difference between the two are calculated based on the total charging meter power Z i and the sum of charging meter sub-power F i contained in the corresponding region in the corresponding combination.
Where i indicates the i-th combination. For the total electric energy Z i, electric energy data in a specified time period can be used as a corresponding Z i parameter value, electric energy data in a certain time period can be selected as a corresponding Z i parameter value, and a combination of electric energy data in time intervals can be used as a corresponding Z i parameter value. The preferred parameter value selection method is not particularly limited, and will be specifically described in the corresponding data analysis section of the embodiment of the present invention.
In step 303, the difference between Z i and F i calculated by each combination and/or the variance of the difference between the two are compared, so as to obtain the probability that each combination is a charging network topology attribution error.
Wherein steps 302 and 303 describe a round of comparisons of both Z i and F i, the number of comparisons may be multiple sets in a particular operation, and for multiple sets of comparison processes, the corresponding power data may also require configuration of multiple sets. The simple conclusion is that, generally, the more the comparison times are, the more the occupation of computing resources of the charging topology data computing server is, the longer the corresponding computing time is, but the accuracy of the corresponding computing result is improved to a certain extent, and finally, how to choose or choose the actual computing environment and the actual number of workers for field investigation is adjusted, which is not described herein.
In step 304, according to the actually obtained attribution of the charging network topology and the obtained probability that each combination is an attribution error of the charging network topology, one or more charging metering devices with the attribution error probability of the charging network topology exceeding a preset threshold are calibrated.
In the embodiment of the invention, the probability of the attribution error of the topological relation of the charging network is only a description on data representation, and is also a name on visual representation; in academy, more will be described as a simple pearson correlation coefficient, whose expression is specifically as follows:
Wherein cov (Z i,Fi) is the covariance between both Z i and F i above, Is the standard deviation of Z i, ρ F is the standard deviation of F i, expression/>Is the product of the standard deviation of the two. Pearson simple correlation coefficient/>The values of (1) are always between-1.0 and 1.0, and a variable approaching 0 is said to be uncorrelated, and a variable approaching 1 or-1 is said to have a strong correlation, which is also described as a probability in the embodiment of the present invention. For comparison purposes, in general in a preferred implementation of an embodiment of the invention, the pearson simple correlation coefficient/>, may be given toThe absolute value is taken or squared and then compared.
In a specific operation process, the one or more charging metering devices with the probability of error attribution of the calibrated charging network topology relation exceeding a preset threshold value can directly send the related information of the charging metering device to be verified to the intelligent terminal of the on-site investigation staff through the intelligent terminal provided for the on-site investigation staff provided in the subsequent system embodiment of the invention, and the on-site investigation staff goes to the site to complete the investigation work.
Mode two, as shown in fig. 5:
In step 401, each of the charge metering devices in the one or more zones may be exhaustive of combinations between a total of charge metering devices in each zone and a sub-table of charge metering devices contained within the corresponding zone.
Although the description is exhaustive, it is in practice more varied and complex than the one described in step 401, for example: for the total list of regional charging metering devices that have historically verified the charging network topology and the sub-list of charging metering devices within the corresponding region, then it is possible to exist in each combination as a known quantity in a fixed form, i.e. the charging network topology that has been verified (considered correct) is no longer added to the exhaustive process of step 401, thus simplifying the overall mode two calculation process.
However, in a specific operation process, in a strict consideration, it is preferable that in an initial several rounds of calculation process, the historically verified charging network topology relationship be used as a correct known quantity, and if a large similarity deviation still exists after several rounds of demonstration, on the basis of the charging metering device of the charging network topology relationship verified by the method provided by the embodiment of the present invention, the historically verified charging network topology relationship also needs to be added to the exhaustive object in step 401 as the object to be verified.
In step 402, the similarity between the two is calculated according to the array (Z k1,Zk2,…,Zkj) formed by the total meter power Z of the charging meter and the array (F k1,Fk2,…,Fkj) formed by the sum F of meter powers of the charging meter in the corresponding area of the corresponding combination.
K is the number of the corresponding data group for calculating the similarity, j is the number of data contained in each group of data, and the data are specifically electric energy data reported by the charging metering device. In the embodiment of the present invention, in order to calculate the similarity, in addition to the above manner, 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, the spearman class spearman correlation coefficient and the kendel kendall correlation coefficient are similar to each other, which are not described in detail herein) correlation coefficients that are well known in the art may be used.
In order to determine the correlation coefficient between the variable F (F k1,Fk2,…,Fkj) and the other variables (Z k1,Zk2,…,Zkj), it is conceivable to construct a linear combination of the variables (Z k1,Zk2,…,Zkj) by calculating a simple correlation coefficient between the linear combination and F (F k1,Fk2,…,Fkj) as the complex correlation coefficient R between the variables F and (Z k1,Zk2,…,Zkj).
In step 403, according to the actually obtained probability that the charging network topology is attributed and the obtained combinations are the charging network topology attribution errors, calibrating one or more charging metering devices with the probability that the charging network topology attribution errors exceed a preset threshold.
In a specific operation process, the one or more charging metering devices with the probability of error attribution of the calibrated charging network topology relation exceeding a preset threshold value can directly send the related information of the charging metering device to be verified to the intelligent terminal of the on-site investigation staff through the intelligent terminal provided for the on-site investigation staff provided in the subsequent system embodiment of the invention, and the on-site investigation staff goes to the site to complete the investigation work. 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 difference value between the Z i and the F i and/or the variance change of the two are calculated.
The method for removing the charging pile electric energy meter to be judged and adding the charging pile electric energy meter to be judged actually correspond to the concepts of 'foreign households' and 'escape households' introduced by the invention. Therefore, in the first and second three-phase comparison modes, the means of solving the correct probability of the charging network topology relationship of the specific charging metering device by the similarity of various combinations is converted into the means of introducing concepts of "foreign users" and "escape users" into the calculation process, and on the basis of one initial combination, the correct probability of the charging network topology relationship of each charging metering device is calculated, and the error type is also judged.
In step 502, all the electric energy meters of the charging pile to be determined or the combination thereof are calculated in an exhaustive manner, and when the electric energy meters of the charging pile to be determined or the combination thereof are added or withdrawn from the F i, the difference value between the electric energy meters of the charging pile to be determined or the combination thereof is changed to the minimum, so that the probability that the electric energy meters of the charging pile to be determined or the combination thereof are the attribution errors of the topology relation of the charging network is determined.
In comparison, the third mode is more effective in obtaining the calculation result than the first and second modes, but in comparison, the third mode is more suitable for a scenario in which the charging network topology of the remaining charging metering devices needs to be confirmed after the charging network topology of a part of the charging metering devices has been confirmed historically. Because the number of effective charging metering devices (i.e. charging 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 ensured.
It should be emphasized that the method for calculating various correlation coefficients provided in the embodiment of the present invention (including the calculation method in step 304), the specific calculation formulas (for example, the formulas for calculating the complex correlation coefficient R described above) are one or more of the correlation coefficient calculation methods applicable to the embodiment of the present invention, and those skilled in the art may apply other similarity calculation methods to the specific implementation of the present invention without creative labor based on the technical ideas disclosed in the embodiment of the present invention, and all fall within the protection scope of the embodiment of the present invention.
In the first, second and third modes, the charging network topology relationship of the charging metering device with respect to the history verification is described, and can be used as known correct information in the initial several rounds of calculation. The corresponding operation can improve or raise the computational efficiency to a great extent, however, there are some preferred technical means based on the area charging network topology relationship confirmation method provided by the embodiment of the present invention, and the number of combinations of the first mode, the second mode and the third mode can be further simplified. The specific explanation is as follows:
The charging network topology relation calculation server can finish verification of each charging metering device and the attribution area according to the charging line maintenance record at the data management platform side and the original attribution area information of each charging metering device; and/or the number of the groups of groups,
The charging network topological relation calculation server can complete verification of each charging metering device and the attribution area according to the abnormal value of the metering data fed back by the charging metering device exceeding the preset threshold value and the original attribution area information of each charging metering device;
the verification result is taken as a known fixed attribute in the exhaustive combination, and the operation of the exhaustive combination is carried out on the charging metering device which is not verified. Wherein the known fixed attribute means as invariant, is excluded from the exhaustive range as an inherent attribute, and is directly added to the combination as the content contained in the combination.
The above scheme provides a preferred technical means, which can combine historically generated line maintenance and metering data abnormality, and uses the elimination method and the like as fixed attributes for each charging metering device capable of completing the attribution verification of the charging network topology in advance, and the charging metering device is excluded from the exhaustion range of step 301 or 401, so that the calculation amount is further reduced, and the calculation efficiency of the regional charging network topology confirmation method provided by the embodiment of the invention is improved.
The circuit maintenance can be the circuit maintenance for each charging pile, the circuit maintenance for a charging station, and the circuit maintenance for a region, and the corresponding circuit maintenance can bring a short charging vacuum period, so that the possibility is provided for verifying the topology relation of the charging network in the individual region. For example, because of line maintenance, a power failure measure is taken for charging a certain station, however, in reality, a certain sub-meter of a charging metering device corresponding to the station is still working, and it can be determined through the above analysis that the topology relationship of the charging network between the sub-meter of the electric metering device and the total meter of the charging metering device of the station is clearly erroneous verification information, and when the verification information is used for exhaustion in step 301 or step 401, the possibility of combining the sub-meter of the electric metering device and the total meter of the charging metering device of the station can be reduced. The abnormal data may be abnormal charging caused by emergency, such as power failure of a section caused by construction, power failure of a section caused by natural disasters, etc., and the effect of the abnormal data is similar to that of the electric line maintenance in the embodiment of the invention from the side, but the reliability is lower.
In the embodiment of the invention, for the operation mode of field investigation of the staff delegating field investigation, the investigation result can be fed back to the charging network topological relation calculation server to realize feedback type iterative calculation. Thus, in connection with the embodiment of the present invention, there is a preferred extension, as shown in fig. 7, the method further includes:
in step 601, a verification result of whether the charging network topology relationship attribution of the one or more charging metering devices is correct is obtained, which is returned by the field investigation staff.
The probability result is not an absolute result in a strict sense, which is calculated by the embodiment of the invention and is wrong in attribution of the charging network topological relation for each charging metering device in the charging network topological relation. And, the relevant information of the charging metering device carried in the task of actually triggering each field investigation staff to verify is also the charging metering device screened according to the preset threshold value determined in step 304 or step 403, so that the possibility exists that the corresponding charging network topological relation belongs to correct or incorrect after the field investigation staff verifies.
In step 602, iterating the verification result into a charging network topology attribution calculation process, to obtain one or more charging metering devices with updated charging network topology attribution error probability exceeding a preset threshold.
The step 602 iterates the verification result into the charging network topology attribution calculation process, specifically, uses the verification result returned in the step 601 as the newly added fixed attribute, and re-executes the steps 301-304 and/or the steps 401-403. As can be seen from the above description, the first, second and third modes may be used alternatively or in parallel in the embodiment of the present invention, and are not described herein.
In connection with the embodiment of the present invention, there is a preferred implementation scheme, where before step 201 is performed, the method process of step 201 to step 203 is performed only when it is generally found that the sum of the total electric energy of the charging metering devices and the sum of the total electric energy of the sub-meters of the charging metering devices in a certain area differs by more than a second preset threshold, otherwise, it is determined that the charging network topology of the corresponding area is normal, and the method process of step 201 to step 203 is not performed. Thus, in this preferred implementation, the method further comprises, generally prior to determining the one or more regions where charging network topology attribution errors potentially occur:
respectively calculating the relation between the electric energy data of the total table of the charging metering devices in each area and the electric energy data sum of the sub-tables of each charging metering device in the area, and confirming one or more target areas with wrong attribution of the topological relation of the charging network;
The determining the one or more areas where the charging network topology attribution errors potentially occur is specifically implemented as follows: and determining one or more areas which are potentially subject to the error of the topology relation of the charging network with the one or more target areas according to the one or more target areas.
Example 2:
In the above embodiment 1, for calculating the correlation between the electric energy data of the total table of the charging and metering devices in each area and the electric energy data of one or more charging and metering devices in the current record, to which the charging network topology relationship is established in each area, the correlation is mainly based on all the sub-tables of the charging and metering devices included in the area, and multiple combinations are formed in an exhaustive manner, and then one or more charging and metering devices with wrong attribution relationship are determined according to different calculation methods.
When the magnitude of the charge metering device is large, the corresponding number of combinations can be very large, and the efficiency of the calculation process is extremely low. In order to improve efficiency, this embodiment proposes an improved scheme based on embodiment 1 for practical application scenarios.
Because there is a kind of electric pile that fills, under the condition of not charging, fill electric pile and be in the unoperated state, fill electric pile's electric energy data and be zero. In actual use, the charging pile may be in an idle state (not to charge the outside), for example, in the early morning, the charging pile in a parking lot near a mall may be in an idle state; the charging piles in the parking lot in the cell may be in an idle state in the morning or afternoon.
Based on the foregoing characteristics, the method for confirming the topological relation of the regional charging network according to the present embodiment may acquire, for the attribute of the region, electric energy data of each charging metering device in the region based on a preset time period, and divide each charging metering device in which the electric energy data in each region is not zero into one initial judgment set according to the same preset time period, and determine one or more charging metering devices with wrong attribution relation by using each initial judgment set as one calculation unit. The attribute of the area depends on the use condition of the charging piles in a certain time period, for example, the charging piles in a residential area have higher use rate at night and have lower use rate in the residential area during daytime; and the conditions of parking lots near the market and parking lots in the company are opposite, so that the two parking lots have different properties, and different preset time periods can be set.
The preset time period may be multiple, and the preset time period may be obtained by dividing 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, residents can drive out and play, the charging piles in the communities are likely to be in an idle state, the electric energy data of the partial charging metering device sub-meters are zero, in the time period corresponding to 22:00pm-09:00am, the charging piles in the parking lots near the market are likely to be in an idle state, the charging piles in the parking lots of the company are likely to be in an idle state, and the electric energy data of the partial charging metering device sub-meters are zero.
And configuring different preset time periods for areas with different attributes to obtain a preliminary judgment set, and after the preliminary judgment set is determined, taking the preliminary judgment set as a calculation unit to calculate one or more charging metering devices in the preliminary judgment set, wherein the probability of attribution errors of the charging network topological relation exceeds a preset threshold value, according to the electric energy data.
Specifically, the correlation between the electric energy data of the total table of the charging metering devices and the electric energy data of one or more sub-tables of the charging metering devices, to which the charging network topological relation is built, in the current record can be calculated in the initial judgment set corresponding to each region; and according to the correlation, determining one or more charging metering devices with the probability of occurrence of the attribution error of the charging network topology relationship exceeding a preset threshold value.
Similar to embodiment 1, for calculating the correlation between the electric energy data of the total table of the charging metering devices and the electric energy data of one or more sub-tables of the charging metering devices with which the charging network topology relationship is established in the current record in the preliminary set corresponding to each region, at least the following three specific modes are provided.
Mode one:
In this embodiment, the initial set is one or more, depending on the number of preset time periods. First, in the initial judgment set, each charging metering device can form a combination between the total table of the charging metering devices in each area and the sub table of the charging metering devices contained in the corresponding area. Then, calculating the difference value between Z i and F i and/or the variance of the difference value between Z i and F i according to the total electric energy Z i of the charging metering devices and the sum F i of the sub-electric energy of the charging metering devices contained in the corresponding areas in the corresponding combinations; where i indicates the i-th combination. Further, comparing the difference value of the Z i and the F i obtained by calculation of each combination and/or the variance of the difference value of the Z i and the F i to obtain the probability that each combination is the attribution error of the topological relation of the charging network. And finally, calibrating one or more charging metering devices with the probability of occurrence of the attribution error of the charging network topology relationship exceeding a preset threshold according to the actually acquired attribution of the charging network topology relationship and the probability of occurrence of the attribution error of each obtained combination as the charging network topology relationship.
When the initial judgment set is multiple, the first mode is adopted in sequence, the initial judgment set is taken as a calculation unit, and one or more charging metering devices with the probability of attribution error of the topology relation of the charging network exceeding a preset threshold value are calibrated.
The first embodiment is basically the same as the first embodiment of the above embodiment 1, but is different from the first embodiment of the present embodiment only in that the first embodiment of the present invention has an exhaustive object of dividing all the charging metering devices in the area, and the first embodiment of the present invention has an exhaustive object of dividing all the charging metering devices in the initial judgment set, which can greatly reduce the order of magnitude and is beneficial to improving the processing efficiency.
The specific implementation process and the corresponding calculation method of the first embodiment refer to the first embodiment of embodiment 1, and are not described herein again.
Mode two:
In this embodiment, the initial set is one or more, depending on the number of preset time periods. First, in the initial judgment set, each charging metering device can form a combination between the total table of the charging metering devices in each area and the sub table of the charging metering devices contained in the corresponding area. Then, calculating the similarity of the two arrays according to the array (Z k1,Zk2,…,Zkj) formed by the total electric energy Z of the charging metering device and the array (F k1,Fk2,…,Fkj) formed by the sum F of the electric energy of the sub-meters of the charging metering device contained in the corresponding area in the corresponding combination; k is the number of the data group for calculating the similarity, and j is the number of the data contained in each group of data. And finally, calibrating one or more charging metering devices with the probability of occurrence of the attribution error of the charging network topology relationship exceeding a preset threshold according to the actually acquired attribution of the charging network topology relationship and the probability of occurrence of the attribution error of each obtained combination as the charging network topology relationship.
When the number of the initial judgment sets is multiple, the mode II is adopted in sequence, the initial judgment sets are taken as calculation units, and one or more charging metering devices with the probability of attribution errors of the topology relation of the charging network exceeding a preset threshold value are calibrated.
The second embodiment is basically the same as the second embodiment of embodiment 1, and is different from the first embodiment only in that the first embodiment of embodiment 1 has an exhaustive object of all the sub-tables of the charging metering devices in the area, and the second embodiment of embodiment has an exhaustive object of all the sub-tables of the charging metering devices in the initial judgment set, which can greatly reduce the order of magnitude and is beneficial to improving the processing efficiency.
The specific implementation process and the corresponding calculation method of the second embodiment refer to the second embodiment of embodiment 1, and are not described herein again.
Mode three:
in the practical application scenario, through the initial judgment set, an effective sub-meter of the charging metering device (namely, a charging metering device with a correct topological relation of the charging network) can be determined, but some sub-meters of the charging metering device are possibly not in the initial judgment set (for convenience of description, the sub-meter of the charging metering device is the sub-meter of the charging metering device to be determined), and whether the attribution relation of the sub-meter of the charging metering device to be determined is correct or not needs to be calculated and determined.
In order to improve the efficiency of data processing, the probability of correctness of the charging network topology relationship of each charging metering device to be determined can be calculated on the basis that the charging network topology relationship of a part of charging metering devices has been confirmed historically, so as to determine whether the attribution relationship is correct.
The specific implementation mode is as follows: on the basis of the first mode, when the charging pile electric energy meter to be judged is removed or added, calculating the difference value of the Z i and the F i and/or the variance change of the Z i and the F i, and calculating all the charging pile electric energy meters to be judged or the combination of the Z i and the F i in an exhaustive way, and when the F i is added or exited, minimizing the change of the difference value of the Z i and the F i and/or the variance change of the Z i and the F i, so that the probability that the charging pile electric energy meters to be judged or the combination of the Z i and the F i are the attribution error of the topological relation of the charging network is judged.
The third mode of this embodiment is basically the same as the third mode of embodiment 1 and the implementation process, and specific reference may be made to the third mode of embodiment 1, which is not described herein.
In comparison, the third mode is more effective in obtaining the calculation result than the first mode and the third mode, and is more suitable for a scenario in which the charging network topology of the remaining charging metering devices needs to be confirmed after the charging network topology of a part of the charging metering devices has been confirmed historically.
Different from embodiment 1, in this embodiment, the time period for collecting electric energy is divided according to the attribute and the geographic position of the region, and then the charging metering devices are initially grouped 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 of providing a method for confirming topological relation of a regional charging network according to embodiment 1 of the present invention, the embodiment of the present invention further provides a system for confirming topological relation of a regional charging network, which can be used for completing the corresponding method as described in embodiment 1, so that the corresponding technical content described in the embodiment of the present invention can be equally applied to the method implemented in embodiment 1.
As shown in fig. 8, the system includes a database server, a charging network topology calculation server and one or more intelligent terminals, and in this embodiment of the present invention, considering the possibility of the scale of the data volume of a specific application scenario, the charging network topology calculation server may be in a single host form, or may be in a cloud platform implementation form, which is not limited in particular herein. The system specifically comprises:
The database server is used for storing the initial attribution relation of each area and the charging metering devices contained in the area, storing the 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 topology attribution errors potentially occur; acquiring electric energy data corresponding to each charging metering device contained in one or more areas; according to the electric energy data, calculating one or more charging metering devices with the probability of error attribution of the topology relation of the charging network exceeding a preset threshold value in the one or more areas;
The one or more intelligent terminals are accessed to the charging network topology relation calculation server, and are used for determining actual topology attribution according to the equipment identification information of the one or more charging metering devices and feeding back to the charging network topology relation calculation server.
In the embodiment of the invention, the intelligent terminal can be professional detection equipment, and is attached with the data interaction capability of the charging network topology relation calculation server; or the intelligent terminal is a smart phone in a general sense, the corresponding determination of topology attribution can be completed by professional detection equipment, and the staff in field investigation transmits the verification result data to the charging network topology relation calculation server through the intelligent terminal, so that the specific implementation form is not limited to the two types of the above, and the similar verification mode and feedback mode derived from the method belong to the protection scope of the embodiment of the invention.
The embodiment of the invention provides a method for determining one or more areas with potential charging network topology attribution errors, and determining the probability of one or more charging metering devices in the charging network topology attribution error state in the one or more areas through electric energy data, so that more effective investigation basis is provided for field investigation staff. The embodiment of the invention has the effect advantage, and the advantage is particularly outstanding for scenes with larger application scale.
In the embodiment of the invention, the charging metering device specifically corresponds to charging piles in each located cell under one platform area; or the charging metering device specifically corresponds to each charging pile positioned in the parking lot under one platform area.
Because the topological relation of the charging networks of the areas is disordered to different degrees, the electric energy data of different areas are also greatly different. For different electric energy data of the transformer areas, different applicable mathematical models can be constructed, different algorithms are selected, and the topological relation of the charging network of the transformer areas can be calculated more efficiently. The corresponding model and algorithm are stored in the charging network topology calculation server in advance. Several exemplary models are described in detail below:
Model 1, total and sub-tables, and residual (and residual variance) minimization model (the model 1 corresponds to the one in embodiment 1)
And (3) model: min { residual } = total-sub-table sum (1)
min{σ Residual error }＝σ Summary sheet - sub-meter (2)
The mechanism by which model 1 holds is physically:
and (3) calculating the combination of the total table and the differential table of the station area which can enable the residual error to be the minimum value by using the combination of the total table of the fixed station area and the exhaustive partial table, wherein the combination can form a real station area charging network topological relation as a high probability event.
And (3) calculating the combination of the total table of the station areas and the difference table sum which can enable the residual error variance value to be the minimum value by using the combination of the total table of the fixed station areas and the exhaustive difference table sum, wherein the combination can form a real station area charging network topological relation as a high probability event.
Under the condition that the electric energy meter errors are ignored, if all the sub-meters in the formula (1) are the electric energy meters of the charging piles in the platform region, residual error in the formula (1) is=0, and under the condition that the electric energy meter errors are considered, the residual error=the electric energy meter error sum is a very small electric quantity, and the sub-meter sum with the minimum residual error is formed, so that the event of all the electric energy meters in the platform region is just a high probability event. Even so, the criterion for forming the minimum residual error can only be used as a necessary condition of 'correct topological relation of the district charging network', and is not a sufficient condition. Otherwise, when the branch meters and the middle-area outer electric energy meters exist, residual errors tend to be large.
The meaning of the equation (2) is that, even if the power meter error factor is considered, when the sub-meters and just all the power meters in the station area, theoretically, the variance=0 of the residual error holds (the residual error=0 is a condition for "the station area charging network topology is correct"). In practice, the variance of the residual is not 0, but a value very close to 0. When the sub-table sum is in the middle, the algorithm is as follows: the exhaustive charging metering device sub-table constitutes sub-table sum, and simultaneously satisfies the sub-table sum of the formulas (1) and (2) to be the real charging network topological relation under the total table. On the contrary, when the branch meters and the middle-area outer electric energy meters are arranged, the residual error variance value tends to be large.
In view of the fact that the intra-and extra-site energy tables can be discriminated using equations (1) and (2), the present invention combines them as one of a set of mathematical models that calculate the topology of the site charging network.
Model 2, model for calculating correlation coefficients between the sub-tables and the total table (the model 2 corresponds to the second mode in example 1)
Wherein, w 0i is the data read by the ith time of the total table of the area, w ki is the data read by the ith time of the k-th block sub-table of the area, the electric energy data of the area is required to be read for a plurality of times by the model 2, and the reading times are m times.
The mechanism by which model 2 holds is:
With the adoption of the method (3), the total table w 0i of the fixed platform area is utilized, and in a selectable electric energy data set (the maximum number of the charging piles can be N) of the charging pile electric energy meter in the platform area, namely the potential suspicion of the charging pile electric energy meter in the platform area, namely the charging pile electric energy meter in the local platform area and the charging pile electric energy meter in the adjacent platform area, the sub-meter and the structure are selected (Wherein n=1, 2, … … N) can be obtained by dividing the table into a number of valuesFull combinations of sub-tables and quantities, each/>, is selected from the full combinationsOne-to-one exhaustive calculation of w 0i andThe correlation coefficient between the two is calculated to find out the maximum correlation coefficient (the correlation coefficient is close to 1) in the full combinationSub-table and quantity, this/>The sub-table and the table together with the table can form a true table charging network topology, which is a high probability event. Model 2 may be used as a mathematical model for the area charging network topology comb computation.
W 0i and w 0i in equation (3) ignoring the effect of the error of the ammeterThe correlation coefficient between the two should be equal to the integer 1, and w 0i and/>, in the formula (3), under the condition of considering the error of the electric energy meterThe correlation coefficient between should be equal to a normal number 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 area calculated by taking the formula (3) as the criterion is also only a high probability event and can not be used as the topological relation of the charging network of the area determined by 100%.
In view of the fact that the electric energy meters in the areas can be screened by using the formula (3), the invention uses the electric energy meters simultaneously as one of a set of mathematical models for calculating the topological relation of the charging network of the areas independently.
Model 3, model for calculating the derived relationship of the sub-table and the total table correlation coefficient (the model 3 corresponds to the modification of the embodiment 1 by using the charge line maintenance record or the data outlier, the modification of the embodiment is one or two, and the steps 501-502 are corresponding to the processes
Wherein w 0i is the data of the ith reading of the table area total surface, w ki is the data of the ith reading of the table area k block sub-table,Is a sub-table sum,/>, that can already be determined as being within the region of the stationThe electric quantity of the table and the electric quantity in the area are yet to be confirmed, the model 3 given by the formula (4) needs to read the electric energy data of the area for a plurality of times, and the reading times are m times.
The mechanism by which model 3 holds is:
Using (4), the total surface of the fixed station area w 0i and Remove/>In the alternative (charging pile electric energy meter in district potential suspects=charging pile electric energy meter in district) in the electric energy data set (the maximum number of the charging piles can be N) of the charging pile electric energy meter of the adjacent station area, select sub-table, construct/>(Wherein n=1, 2, … … N) can give a different value of N/>Combinations of sub-tables and amounts (n-n 1), each/>, among the combinations of (n-n 1) is selectedOne-to-one exhaustive calculation/>And/>The correlation coefficient between the two is found out by calculation that the correlation coefficient is the largest (the correlation coefficient is close to 1) in the (n-n 1) combinations/>Sub-table and quantity, this "/>Sub-table sum and the above/>Together, the quantities may constitute a true cell charging network topology "is a highly probable event. Model 3 may be used as one of the mathematical models for the area charging network topology comb computation.
Neglecting the effect of the error of the electric energy meter, in formula (4)And/>The correlation coefficient between should be equal to the integer 1, taking into account the error of the electric energy meter, the/>, in formula (4)And (3) withThe correlation coefficient between should be equal to a normal number 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 area calculated by taking the formula (4) as the criterion is also only a high probability event and can not be used as the topological relation of the charging network of the area determined by 100%.
In view of the fact that the electric energy meters in the areas can be screened by using the formula (4), the invention uses the electric energy meters simultaneously as one of a set of mathematical models for calculating the topological relation of the charging network of the areas independently.
The aforementioned characteristic of incomplete certainty of the calculation result of the present invention is applicable to each mathematical model. In other words, none of the mathematical models has the ability to calculate the true charging network topology of the area without distinction.
The goal of the calculation is to obtain the topological relation of the charging network of the area with the maximum probability (probability value), and the electric energy data of different areas are different for the same mathematical model, so that different calculation methods are needed to be selected.
For example, for model 2, it is determined whether certain electric energy meters belong to the inside of the station area or belong to the outside of the station area by comparing and calculating the magnitudes of the sub-meters and the correlation coefficients with the total table. 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 model 3, complex correlation coefficients, partial correlation coefficients, pearson's simple correlation coefficients, and the like may also be selected.
Various regression algorithms, various machine learning algorithms for training mathematical models, etc. may be used for model 1.
The technical proposal of obtaining other similar implementable models based on the disclosed models by the invention without creative labor for the person skilled in the art is also included in the protection scope of the invention.
Which algorithm needs to be used can also be "self-learned" in the calculation process by the computer. The embodiment of the invention can use the algorithm of the integration method in machine learning, respectively select different algorithms for different mathematical models and electric energy data, and respectively calculate the calculation results of the real and correct charging network topological relation of the station area. Then, different models and algorithms are given different weights, and a comprehensive calculation conclusion is obtained. Specifically, the method can be completed in the charging network topology relation calculation server in the embodiment.
Example 4:
Whether the process of method steps set forth in example 1 or the various models set forth in example 2, which calculate the probability of one or more of the charge metering devices belonging to an error state (including at least both the probability of a foreign user and the probability of a escaped user, and may also include a total registration error probability, etc.), it is necessary to use the power data reported by each charge metering device recorded in the database server. However, in the case that we further consider that the charging metering device itself has an error, and that the error corresponding to each charging metering device has an error under different load currents, it is further proposed in the embodiment of the present invention that the input parameters when calculating the probability of the charging metering device or devices belonging to the error state of the topology of the charging network as in the above-mentioned embodiments 1 and 2 are further optimized.
As shown in fig. 9, the data form reported by a typical charge metering device stored in the database server may be stored in a voltage-load current pair (as shown in fig. 9) as well as in a charge-load current pair (as shown in fig. 10) for different charge metering devices, and both modes are equivalent; but two common features in embodiments of the present invention are: the load current is recorded. When the parameter value is specifically taken, the electric energy data of different charging metering devices related to the same round of calculation process are considered, and the load current is extracted as far as possible to be at the same or adjacent energy level, so that the electric energy data of the large-span load current in the calculation process can cause larger fluctuation to error deviation of the same charging metering device, and the accuracy of the final calculation result is influenced. The method can be operated according to the set percentage reference value as far as possible, so that the accuracy of calculation is improved through the screening mechanism of the electric energy data participating in calculation under the condition that the electric energy data is rich. The embodiment 3 of the invention is particularly suitable for the situation that the calculation capability of the charging network topology calculation server is quite abundant.
Example 5:
Fig. 11 is a schematic structural diagram of a topology confirming device for a local charging network according to an embodiment of the invention. The area charging network topology confirmation device of the present embodiment includes one or more processors 21 and a memory 22. In fig. 11, a processor 21 is taken as an example.
The processor 21 and the memory 22 may be connected by a bus or otherwise, which is illustrated in fig. 11 as a bus connection.
The memory 22 is used as a nonvolatile computer-readable storage medium for storing a nonvolatile software program and a nonvolatile computer-executable program, as in the area charging network topology verification method of embodiment 1. The processor 21 performs the area charging network topology verification method by running non-volatile software programs 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, memory 22 may optionally include memory located remotely from processor 21, which may be connected to 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 area charging network topology verification method in embodiment 1 described above, for example, performing the steps shown in fig. 1, 4, 5, and 7 described above.
It should be noted that, because the content of information interaction and execution process between modules and units in the above-mentioned device and system is based on the same concept as the processing method embodiment of the present invention, specific content may be referred to the description in the method embodiment of the present invention, and will not be repeated here.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the embodiments may be implemented by a program that instructs associated hardware, the program may be stored on a computer readable storage medium, the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.
The foregoing description of the charging pile and the charging pile station is merely illustrative of the preferred embodiments of the present invention, and is not intended to limit the invention to any modification, equivalent replacement, improvement, etc. which fall within the spirit and principles of the present invention.

Claims (11)

1. The method for confirming the topological relation of the regional charging network is characterized by comprising the following steps of:
Determining one or more areas where charging network topology attribution errors potentially occur;
Acquiring electric energy data corresponding to each charging metering device contained in one or more areas;
And according to the electric energy data, confirming one or more charging metering devices in the error state of the topology relation of the charging network in the one or more areas, wherein the charging metering devices comprise: calculating the correlation between the electric energy data of the total table of the charging metering devices in each area and the electric energy data of one or more charging metering devices which are in charge of the charging network topology relationship with each area in the current record; determining one or more charging metering devices with the probability of occurrence of charging network topology relationship attribution error exceeding a preset threshold according to the correlation;
The calculating the correlation between the electric energy data of the total table of the charging metering devices in each area and the electric energy data of one or more charging metering devices which are established with the charging network topological relation in each area in the current record specifically comprises the following steps:
In the one or more areas, each charging metering device can form a combination between a total table of the charging metering devices in each area and a sub table of the charging metering devices contained in the corresponding area;
Calculating the difference value between Z i and F i and/or the variance of the difference value between Z i and F i according to the total electric energy Z i of the charging metering devices and the sum F i of the sub-electric energy of the charging metering devices contained in the corresponding areas in the corresponding combinations; wherein i indicates the i-th combination;
comparing the difference value of the Z i and the F i obtained by calculation of each combination and/or the variance of the difference value of the Z i and the F i to obtain the probability that each combination is the attribution error of the topological relation of the charging network;
or, in the one or more areas, each charging metering device can form a combination between a total table of the charging metering devices in each area and a sub table of the charging metering devices contained in the corresponding area;
calculating the similarity of the two arrays according to the array (Z k1,Zk2,…,Zkj) formed by the total electric energy Z of the charging metering device and the array (F k1,Fk2,…,Fkj) formed by the sum F of the electric energy of the sub-meters of the charging metering device contained in the corresponding area in the corresponding combination; k is the number of the data group for calculating the similarity, j is the number of the data contained in each group of data;
And calibrating one or more charging metering devices with the probability of occurrence of the attribution error of the charging network topology relationship exceeding a preset threshold according to the actually acquired attribution of the charging network topology relationship and the probability of occurrence of the attribution error of each obtained combination as the charging network topology relationship.
2. The regional charging network topology confirmation method of claim 1, further comprising:
And the staff for field investigation verifies the attribution condition of the actual charging network topology relation according to the equipment identification information of the one or more charging metering devices.
3. The method for confirming the topological relation of the regional charging network according to claim 2, wherein after verifying the attribution condition of the actual topological relation of the charging network according to the equipment identification information of the one or more charging metering devices, the method further comprises:
Acquiring a verification result of whether the attribution of the charging network topological relation of the one or more charging metering devices is correct or not returned by the field investigation staff;
And iterating the verification result into a charging network topology attribution calculation process to obtain one or more charging metering devices with updated charging network topology attribution error probability exceeding a preset threshold value.
4. The method for confirming a topology of a charging network in areas according to claim 1, wherein calculating a correlation between the power data of the total table of the charging metering devices in each area and the power data of one or more charging metering devices in the current record to which the topology of the charging network is established in each area, further comprises:
When the charging pile electric energy meter to be judged is removed or added, calculating the difference value between the Z i and the F i and/or the variance change of the Z i and the F i;
And (3) calculating all the charging pile electric energy meters to be judged or the combination thereof in an exhaustive manner, and minimizing the change of the difference value between Z i and F i and/or the variance of the difference value between the Z i and F i when the charging pile electric energy meters to be judged or the combination thereof are added or withdrawn from F i, so as to judge the probability that the charging pile electric energy meters to be judged or the combination thereof are wrong in attribution of the charging network topology.
5. The method of any one of claims 1-4, further comprising, before exhaustively using the one or more regions, each of the charge metering devices to form a combination between a total table of charge metering devices in each region and a sub table of charge metering devices contained in the corresponding region:
According to the charge line maintenance record at the data management platform side and/or the charge metering device exceeding the preset threshold value, feeding back metering data abnormal values and the original attribution area information of each charge metering device, and completing verification of each charge metering device and the attribution area;
The verification result is taken as a known fixed attribute in the exhaustive combination, and the operation of the exhaustive combination is carried out on the charging metering device which is not verified.
6. The method according to any one of claims 1 to 4, wherein the electric energy data of each charging metering device is stored according to the electric energy data and the load current correspondence, and the corresponding electric energy data is used as the calculation time, further comprising:
And extracting the electric energy data of the load current at the same or adjacent energy levels from the electric energy data of different charging metering devices related to the same round of calculation process as a parameter value for calculation.
7. The regional charging network topology verification method of claim 1, wherein prior to determining the one or more regions where charging network topology attribution errors potentially occur, the method further comprises:
respectively calculating the relation between the electric energy data of the total table of the charging metering devices in each area and the electric energy data sum of the sub-tables of each charging metering device in the area, and confirming one or more target areas with wrong attribution of the topological relation of the charging network;
The determining the one or more areas where the charging network topology attribution errors potentially occur is specifically implemented as follows: and determining one or more areas which are potentially subject to the error of the topology relation of the charging network with the one or more target areas according to the one or more target areas.
8. The regional charging network topology verification method of claim 1, wherein the obtaining electrical energy data corresponding to each of the charging metering devices contained within the one or more regions comprises:
Setting a preset time period based on the attribute of the region, and acquiring electric energy data of a charging metering device contained in each region according to the preset time period;
and dividing each charging metering device with the electric energy data not being zero into the same initial judgment set according to the same preset time period.
9. The method of claim 8, wherein each region includes at least one preliminary set of decisions;
and according to the electric energy data, determining one or more charging metering devices in the error state of the charging network topology relationship in the one or more areas, wherein the one or more charging metering devices comprise:
and calculating one or more charging metering devices in the initial judgment set, wherein the probability of attribution errors of the charging network topological relation exceeds a preset threshold value.
10. The regional charging network topological relation confirmation system is characterized by comprising a database server, a charging network topological relation calculation server and one or more intelligent terminals, and is characterized by comprising the following components:
The database server is used for storing the initial attribution relation of each area and the charging metering devices contained in the area, storing the 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 topology attribution errors potentially occur; acquiring electric energy data corresponding to each charging metering device contained in one or more areas; according to the electric energy data, calculating one or more charging metering devices with the probability of error attribution of the topology relation of the charging network exceeding a preset threshold value in the one or more areas; comprising the following steps: calculating the correlation between the electric energy data of the total table of the charging metering devices in each area and the electric energy data of one or more charging metering devices which are in charge of the charging network topology relationship with each area in the current record; determining one or more charging metering devices with the probability of occurrence of charging network topology relationship attribution error exceeding a preset threshold according to the correlation;
The calculating the correlation between the electric energy data of the total table of the charging metering devices in each area and the electric energy data of one or more charging metering devices which are established with the charging network topological relation in each area in the current record specifically comprises the following steps:
In the one or more areas, each charging metering device can form a combination between a total table of the charging metering devices in each area and a sub table of the charging metering devices contained in the corresponding area;
Calculating the difference value between Z i and F i and/or the variance of the difference value between Z i and F i according to the total electric energy Z i of the charging metering devices and the sum F i of the sub-electric energy of the charging metering devices contained in the corresponding areas in the corresponding combinations; wherein i indicates the i-th combination;
comparing the difference value of the Z i and the F i obtained by calculation of each combination and/or the variance of the difference value of the Z i and the F i to obtain the probability that each combination is the attribution error of the topological relation of the charging network;
or, in the one or more areas, each charging metering device can form a combination between a total table of the charging metering devices in each area and a sub table of the charging metering devices contained in the corresponding area;
calculating the similarity of the two arrays according to the array (Z k1,Zk2,…,Zkj) formed by the total electric energy Z of the charging metering device and the array (F k1,Fk2,…,Fkj) formed by the sum F of the electric energy of the sub-meters of the charging metering device contained in the corresponding area in the corresponding combination; k is the number of the data group for calculating the similarity, j is the number of the data contained in each group of data;
Calibrating one or more charging metering devices with the probability of occurrence of the attribution error of the charging network topology relationship exceeding a preset threshold according to the actually acquired attribution of the charging network topology relationship and the probability of occurrence of the attribution error of each obtained combination as the charging network topology relationship;
The one or more intelligent terminals are accessed to the charging network topology relation calculation server, and are used for determining actual topology attribution according to the equipment identification information of the one or more charging metering devices and feeding back to the charging network topology relation calculation server.
11. An area charging network topology verification apparatus, 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, the instructions being programmed to perform the regional charging network topology verification method of any one of claims 1-9.
CN201910145499.8A 2019-02-27 2019-02-27 Method, device and system for confirming topological relation of regional charging network Active CN111626459B (en)

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Citations (11)

* 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
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

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104915879B (en) * 2014-03-10 2019-08-13 华为技术有限公司 The method and device that social relationships based on finance data are excavated
US10511485B2 (en) * 2015-08-11 2019-12-17 At&T Intellectual Property I, L.P. Dynamic virtual network topology discovery engine

Patent Citations (11)

* 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
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 (5)

* Cited by examiner, † Cited by third party
Title
一种新型电网拓扑错误辨识方法;马静 等;《电力自动化设备》;第36卷(第1期);第82-88 *
基于离群点检测的低压配电网拓扑结构校验;耿俊成 等;《电力信息与通信技术》;第15卷(第5期);第61-65页 *
基于离群点检测的低压配电网拓扑结构校验;耿俊成;吴博;万迪明;袁少光;;电力信息与通信技术;20170515(第05期);第65-69页 *
基于集抄系统深化应用的低压台区电网拓扑重构方案;夏水斌;余鹤;董重重;孙秉宇;张乐群;;电测与仪表;20171025(第20期);第115-120页 *
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》.2017,第15卷(第5期),第61-65页. *

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