CN117040119A - Topology identification method, apparatus, device, medium and program product for power equipment - Google Patents
Topology identification method, apparatus, device, medium and program product for power equipment Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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Abstract
The application discloses a topology identification method, device, equipment, medium and program product of power equipment, and belongs to the technical field of power. The method comprises the following steps: acquiring historical power data of each of at least two power devices; determining a first power device of the at least two power devices based on the historical power data; determining at least two second power devices having a topological relation with the first power device based on topological parameters between the first power device and other power devices; the topology parameters are used for representing the topology relation, and other power equipment refers to power equipment except the first power equipment; and respectively taking the at least two second power devices as the first power devices of the next round, and re-executing the step of determining the at least two second power devices which have topological relation with the first power devices until all the at least two power devices are traversed. The scheme can effectively identify the topological relation among the power equipment.
Description
Technical Field
The present application relates to the field of power technologies, and in particular, to a topology identification method, apparatus, device, medium, and program product for a power device.
Background
In the use and operation and maintenance process of the power equipment in industrial production, the topological relation among the power equipment can help management personnel to better check the association state and the operation state among the equipment. The topological relation refers to adjacency, association and upper-lower relation among the power equipment. Taking the upper and lower relationship as an example, the law of conservation of energy is followed between the upper and lower electric power equipment in industrial production. The energy consumption of the upper-level power equipment is equal to the sum of the energy consumption of the lower-level power equipment.
In the case that the topological relation between the power equipment is unknown, management personnel are inconvenient to manage the power equipment and analyze electricity consumption. In the related art, by arranging field workers, equipment lines are searched to find out the topological relation among the power equipment.
However, this approach consumes manpower and resources, has low recognition efficiency, and is costly.
Disclosure of Invention
The application provides a topology identification method, a topology identification device, a topology identification medium and a topology identification program product of power equipment. The technical scheme is as follows:
According to an aspect of the present application, there is provided a topology identification method of an electric power device, the method comprising:
acquiring historical power data of each of at least two power devices;
determining a first power device of the at least two power devices based on the historical power data;
determining at least two second power devices having a topological relation with the first power device based on topological parameters between the first power device and other power devices; the topology parameter is used for representing the topology relation, and the other power equipment refers to power equipment except the first power equipment;
and respectively taking the at least two second power devices as the first power devices of the next round, and re-executing the step of determining the at least two second power devices which have topological relation with the first power device based on the topological parameters between the first power device and other power devices until all the power devices in the at least two power devices are traversed.
According to another aspect of the present application, there is provided a topology identification apparatus of an electric power device, the apparatus including:
the acquisition module is used for acquiring the historical power data of each of at least two power devices;
A determining module for determining a first power device of the at least two power devices based on the historical power data;
a processing module, configured to determine at least two second power devices having a topological relation with the first power device based on a topological parameter between the first power device and other power devices; the topology parameter is used for representing the topology relation, and the other power equipment refers to power equipment except the first power equipment;
the processing module is configured to re-execute the step of determining at least two second power devices having a topological relation with the first power device based on the topological parameters between the first power device and other power devices, with the at least two second power devices being respectively used as a next round of first power devices, until all the power devices in the at least two power devices have been traversed.
According to another aspect of the present application, there is provided a computer apparatus including: a processor and a memory storing a computer program that is loaded and executed by the processor to implement the topology identification method of a power device as described above.
According to another aspect of the present application, there is provided a computer-readable storage medium storing a computer program loaded and executed by a processor to implement the topology identification method of a power device as described above.
According to another aspect of the present application, there is provided a computer program product comprising computer instructions stored in a computer readable storage medium, from which a processor retrieves the computer instructions, causing the processor to load and execute to implement a topology identification method of a power device as described above.
The technical scheme provided by the embodiment of the application has the beneficial effects that at least:
the method of the embodiment does not need hardware equipment to be installed in a communication unit or prior relation information among the equipment, is a topology identification method for unsupervised learning, can iteratively find out the topology relation among all the electric equipment through the method of the embodiment without additional manual intervention, is simple and easy to operate, has strong operability, reduces manpower and material resources, improves identification efficiency, and reduces identification cost.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 illustrates a block diagram of an electrical power system provided by an exemplary embodiment;
FIG. 2 illustrates a flow chart of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 3 illustrates a flow chart of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 4 illustrates a flow chart of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 5 illustrates a flow chart of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 6 illustrates a flow chart of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 7 illustrates a schematic diagram of topology parameters provided by an exemplary embodiment;
fig. 8 shows a structural diagram of a topology identification method of an electric power device according to an exemplary embodiment;
FIG. 9 illustrates a schematic diagram of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 10 illustrates a schematic diagram of a topology identification method for a power device provided by an exemplary embodiment;
FIG. 11 is a diagram illustrating topology identification results of a power device provided by an exemplary embodiment;
FIG. 12 is a diagram illustrating topology identification results of a power device provided by an exemplary embodiment;
FIG. 13 is a diagram illustrating the topology identification results of a power device provided by an exemplary embodiment;
FIG. 14 is a diagram illustrating topology identification results of a power device provided by an exemplary embodiment;
FIG. 15 is a diagram illustrating topology identification results of a power device provided by an exemplary embodiment;
FIG. 16 is a block diagram showing a topology identification apparatus of an electrical device according to an exemplary embodiment;
fig. 17 shows a block diagram of a computer device provided by an exemplary embodiment.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first parameter may also be referred to as a second parameter, and similarly, a second parameter may also be referred to as a first parameter, without departing from the scope of the application. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
Fig. 1 shows a block diagram of an electric power system according to an exemplary embodiment of the present application. The power system can realize a system architecture which becomes a topology identification method of the power equipment. The power system includes: power device 120 and server 140.
The power device 120 includes at least one of a power supply side device and a power use side device. The power supply side device comprises at least one of a generator, a transformer and a capacitor, and the power utilization side device comprises at least one of a motor, a lighting device, a heating device, a household device and a computer device.
The topology identification method of the power device in the embodiment may be a topology identification method for a power supply side device or a topology identification method for a power consumption side device. This embodiment is not limited thereto.
The server 140 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server providing cloud computing services, a cloud database, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, a content delivery network (Content Delivery Network, CDN), and cloud servers of basic cloud computing services such as big data and an artificial intelligent platform. This embodiment is not limited thereto.
The server 140 may determine the topological relationship between the power devices 120 by obtaining power data for the power devices 120. Referring to fig. 1, taking a topological relationship as an upper-lower relationship, the power device 120 specifically includes a power device 121, a power device 122, a power device 123, a power device 124, a power device 125, and a power device 126 as an example. Taking as an example that the topology of the power equipment is a superior-inferior relationship. In the relation of the upper and lower levels, the law of conservation of energy is followed between the upper and lower levels of power equipment, and the energy consumption of the upper level of power equipment is equal to the sum of the energy consumption values of the lower level of power equipment, namely: the output power of the upper level power device is equal to the sum of the output powers of the lower level power devices.
Specifically, the server 140 acquires historical power data of each of the power device 121, the power device 122, the power device 123, the power device 124, the power device 125, and the power device 126 within a preset period of time, respectively; based on the above-described historical power data, the power device 121, i.e., the power device 121, whose average value of the historical power data is largest in the preset period of time is determined as the superior device.
The server 140 determines the power device 122 and the power device 123 having a topological relation with the power device 121, that is, the power device 122 and the power device 123 are subordinate devices of the power device 121, based on topological parameters between the power device 121 and the power device 122, the power device 123, the power device 124, the power device 125 and the power device 126, respectively. The server 140 determines the lower level devices of the power device 122 and the power device 123 as the upper level devices, and determines the power device 124, the power device 125, and the power device 126 having a topological relationship with the power device 122 in the same manner as the power device 121.
To this end, server 140 determines the topological relationship between power device 121, power device 122, power device 123, power device 124, power device 125, and power device 126.
Those skilled in the art will appreciate that the number of power devices 120 described above may be greater or lesser. Such as tens or hundreds, or more, of electrical devices 120 as described above. The number and type of the power devices 120 are not limited by the embodiment of the present application.
Fig. 2 shows a flowchart of a topology identification method of a power device according to an exemplary embodiment of the present application, and the method is applied to the server 140 shown in fig. 1 for illustration, and includes:
step 220, obtaining historical power data of each of at least two power devices.
The power equipment may be power generation side equipment or power use side equipment, which is not limited in this embodiment.
The historical power data is power data of the power device for a preset period of time before the current point in time.
Optionally, the power supply side device comprises at least one of a generator, a transformer, a capacitor, and the power consumption side device comprises at least one of a motor, a lighting device, a heating device, a household device, and a computer device.
Optionally, the power device has one power data corresponding to each time point within the preset time period, and the historical power data is also called a historical power time sequence. The unit of power data is Kilowatts (KW). The preset time period for collecting the historical power data can be set according to actual technical requirements, and the time period is set to be 30 days in the embodiment. It may also be set to at least one of 7 days, 3 days, etc.
Illustratively, the server obtains historical power data for each of the at least two power devices.
Step 240, determining a first power device of the at least two power devices based on the historical power data.
The first power device refers to at least one of the at least two power devices.
The average value corresponding to the historical power data is also referred to as a historical power average value. Optionally, the first power device is at least one power device with the greatest historical power average.
Optionally, the server calculates historical power averages of the at least two power devices, respectively, based on the historical power data.
Such as: and dividing the sum of the historical power data of the power equipment at each time point in the preset time period by the length of the preset time period to obtain the corresponding historical power average value of the power equipment.
In some embodiments, the historical power average values corresponding to the power devices may be sorted, and the first power device with the largest historical power average value may be determined. Wherein the historical power averages may be ranked from small to large or from large to small.
Step 260 of determining at least two second power devices having a topological relation with the first power device based on the topological parameters between the first power device and the other power devices; the topology parameter is used to characterize the topology relationship, and the other power devices refer to power devices other than the first power device.
By other power devices is meant power devices other than the first power device.
The topology parameter is a parameter for characterizing whether or not a topology relationship exists between the respective power devices.
The second power device refers to a power device having a topological relation with the first power device.
In some embodiments, each power device is traversed to determine the topological relationship between the power devices as the present embodiment is subsequently traversed by way of an iterative traversal. Thus, other power devices also refer to power devices other than the first power device, and for which a topological relationship has not been determined (not iterated).
Optionally, the topology parameter includes at least one of a power error parameter and a correlation parameter. The power error parameter is used for representing power errors of the first power equipment and other power equipment corresponding to each time point in a preset time period. The correlation parameter is used for representing the correlation of the first power equipment and other power equipment in a preset time period.
For example, at least two second power devices in topological relation to the first power device are determined based on topological parameters between the first power device and the other power devices.
Optionally, in a case where the power error parameter between the first power device and the other power device is smaller than the first threshold value, and/or in a case where the correlation parameter between the first power device and the other power device is larger than the second threshold value, determining the other power device as the second power device having a topological relationship with the first power device. The first threshold and the second threshold may be set according to actual technical requirements, respectively.
And step 280, the step of determining at least two second power devices with topological relation with the first power device based on the topological parameters between the first power device and other power devices is re-executed by taking the at least two second power devices as the next round of first power devices respectively until all the power devices in the at least two power devices are traversed.
Optionally, iteratively determining the power devices having a topological relationship with the at least two second power devices, respectively, is continued in the same manner as determining the at least two second power devices having a topological relationship with the first power device.
Illustratively, the at least two second power devices obtained in the step 260 are respectively used as the first power devices of the next round, and the step 260 is re-executed until all the at least two power devices in the step 220 are traversed. Thus, the topological relation among the power equipment is determined.
In summary, according to the method provided by the embodiment of the present application, the historical power data of each of at least two power devices is obtained; determining a first power device of the at least two power devices based on the historical power data; determining at least two second power devices having a topological relation with the first power device based on topological parameters between the first power device and other power devices; the topology parameters are used for representing the topology relation, and other power equipment refers to power equipment except the first power equipment; and respectively taking the at least two second power devices as the first power devices of the next round, and re-executing the step of determining the at least two second power devices which have topological relation with the first power devices until all the at least two power devices are traversed. The method of the embodiment does not need to install hardware equipment in a communication unit and does not need prior relation information among the equipment, is a topology identification method for unsupervised learning, can directly find out the topology relation among the power equipment without additional manual intervention, is simple and easy to operate, has strong operability, reduces manpower and material resources, improves identification efficiency, and reduces identification cost.
In some embodiments, the power device comprises at least two. Taking the example that the topological relation between the power equipment is the upper and lower relation, the law of conservation of energy is satisfied between the upper and lower power equipment. Namely: the output power of the upper level power device is equal to the sum of the output powers of the lower level power devices. Therefore, after the first power equipment is determined, other power equipment can be combined to obtain each power equipment combination, and the topology identification result of the first power equipment is determined by calculating the topology parameters between the first power equipment and each power equipment combination.
Fig. 3 is a flowchart illustrating a topology identification method of a power device according to an exemplary embodiment of the present application. Step 260 described above is optionally implemented as step 320 and step 340:
step 320, calculating topology parameters between the first power device and each power device combination; each power device combination comprises at least two other power devices.
A power device group (group) is a combination of at least two other power devices.
In some embodiments, at least two of the respective other power devices are combined to determine the respective power device combination in an exhaustive manner (or so-called a permutation and combination manner).
By way of example, assuming that there are n other power devices, any of m different other power devices are taken and grouped into a power device combination. Wherein m is less than or equal to n, m and n are more than or equal to 2, and m and n are natural numbers. The value of m starts from 2 up to n, and the number of power equipment combinations is expressed as follows:
such as: there are 4 power devices, namely power device 1, power device 2, power device 3 and power device 4. Assuming that the first power device is the power device 1, each other power device includes 3, namely the power device 2, the power device 3 and the power device 4. The power equipment combination is to combine every two of the other power equipment and every three of the other power equipment. Then the power equipment combination is 2 in total 3 -3-1=4 groups, respectively comprising: power plant 2+ power plant 3; power plant 2+ power plant 4; power plant 3+ power plant 4; power plant 2+ power plant 3+ power plant 4.
For example, after determining each power device combination, the server calculates topology parameters between the first power device and each power device combination, respectively.
Step 340, determining at least two second power devices in topological relation to the first power device based on the topological parameters between the first power device and the respective power device combinations.
Optionally, for each power device combination, the corresponding power data is a sum of the power data of each other power device contained in the power device combination.
Optionally, the server determines, based on the topology parameter between the first power device and each power device combination, a group of optimal power device combinations selected from each power device combination, and determines at least two other power devices included in the selected power device combination as at least two second power devices having a topology relationship with the first power device.
In this embodiment, based on the following law of conservation of energy between the power devices, by combining each other power device, and further determining at least two second power devices having a topological relation with the first power device, the recognition accuracy and recognition efficiency can be improved.
The following examples illustrate two topology parameters, respectively. One or both of these may optionally be used in combination in the actual application to subsequently determine a first power device combination from among the individual power device combinations.
In some embodiments, the topology parameter includes a power error parameter. In this embodiment, the power error parameter is an average absolute percentage error (Mean Absolute Percentage Error, MAPE) corresponding to the historical power data.
Fig. 4 is a flowchart illustrating a topology identification method of a power device according to an exemplary embodiment of the present application. Step 320 described above is optionally implemented as step 420 and step 440:
step 420, determining a first historical power value corresponding to the first power device at a first time point, and a second historical power value corresponding to each power device combination at the first time point; the second historical power value is a sum of historical power values corresponding to each other power device in the power device combination at the first point in time.
The first time point refers to each acquisition time point in a first time period corresponding to the historical power data.
Such as: a power value is acquired every 15 minutes of a day, the first point in time may be the zero point of the day, zero point 15, zero point 30, etc.
The first historical power value refers to a historical power value corresponding to the first power device at a first time point.
The second historical power value refers to the sum of the historical power values corresponding to the other power devices in the power device combination at the first time point.
Optionally, the server determines a first historical power value corresponding to the first power device at a first time point, and a second historical power value corresponding to each power device combination at the first time point.
Step 440, performing a product operation based on the first historical power value and the second historical power value, and determining a power error parameter between the first power device and each power device combination.
Optionally, the server represents the first historical power values of the first power devices at the first time point i as Xi, the second historical power values respectively corresponding to the power device combinations at the first time point i as Yi, and the number of the first time points in the first time period as n. The power error parameter between the first power device and each respective power device combination is represented as follows:
in this embodiment, in order to better measure the power error of the power time sequence between the upper and lower power devices, a prediction error measurement standard MAPE in the artificial intelligence field is introduced as a longitudinal measurement method of the power consumption error between the devices, so that the power error between the upper and lower power devices at each time point can be accurately calculated, and the accuracy of the identification of the subsequent topological relation is improved.
In some embodiments, the topology parameters include correlation parameters. In this embodiment, the correlation parameter uses pearson correlation coefficient (Pearson Correlation Coefficient) corresponding to the historical power data.
Fig. 5 is a flowchart illustrating a topology identification method of a power device according to an exemplary embodiment of the present application. The step 320 may be optionally implemented as step 520, step 540, and step 560:
step 520, determining a third historical power value corresponding to the first power device at the second time point and a third historical power average value in the second time period; the second time period is a time period including a second time point.
The second time point refers to each acquisition time point in the second time period corresponding to the historical power data.
The second time period is a time period including a second time point.
Alternatively, the length of the second period may be a preset length that remains uniform.
The third historical power value refers to a historical power value corresponding to the first power equipment at the second time point.
The third historical power average refers to the historical power average of the first power device over the second period of time.
Optionally, dividing the sum of the historical power values of the first power device at each second time point of the second time period by the length of the second time period to obtain a historical power average, namely the third historical power average.
Step 540, determining a fourth historical power value corresponding to each power device combination at the second time point and a fourth historical power average value in the second time period.
The fourth historical power value refers to a sum of historical power values corresponding to each other power device in the power device combination at the second time point.
The fourth historical power average refers to historical power averages of each other power device in the power device combination over the second period of time.
Optionally, the sum of the historical power values of each other power device in the power device combination at each second time point in the second time period is divided by the length of the second time period to obtain a historical power average, that is, the fourth historical power average.
Step 560, performing a product operation based on the third historical power value, the third historical power average, the fourth historical power value, and the fourth historical power average, and determining a correlation parameter between the first power device and each power device combination.
Optionally, the server represents a third historical power value corresponding to the first power device at the second time point i as Xi, and a third historical power average value at the second time period as Xi. Combining the individual power devices at a second point in timei respectively corresponding fourth historical power value is denoted Yi, fourth historical power average value in the second period is denoted +. >. The number of second time points within the second time period is denoted as n. The correlation parameter between the first power device and each respective power device combination is represented as follows:
wherein sigma X Is the standard deviation sigma corresponding to each third historical power value of the first power equipment in the second time period Y Is the standard deviation corresponding to each fourth historical power value of each power equipment combination in the second time period. The value range of the correlation parameter is between-1 and 1.
In the embodiment, the pearson correlation coefficient is adopted to well measure whether the correlation and trend of the power curves between the upper and lower power equipment are consistent with the time variation, so that the method is a transverse topological relation identification mode and is beneficial to improving the identification accuracy of the follow-up topological relation.
By combining the two topological parameters to identify the topological relation, the topological relation between the power equipment can be accurately identified from two standards of error and trend correlation in the transverse and longitudinal directions, which is beneficial to improving the identification accuracy and the identification efficiency.
To more clearly illustrate the two topology parameters, fig. 7 shows a schematic diagram of the topology parameters provided by an exemplary embodiment of the present application. The abscissa of fig. 7 represents time in minutes; the ordinate indicates power in kw. Curve 712 is a power curve of a first power device, curve 714 is a power curve of a power device combination, and the power value corresponding to each time point of curve 714 is the sum of the power values of each other power device included in the power device combination at that time point.
Optionally, the topology parameter includes a power error parameter (MAPE) shown in fig. 7, for describing a power error between the first power device and the power device combination at each point in time, where a smaller value of the power error parameter indicates a greater likelihood of a topology relationship between the first power device and the power device combination. The topology parameters further include a correlation parameter (correlation) shown in fig. 7, which is used to characterize the correlation between the first power device and the power device combination over a period of time, and a larger value of the correlation parameter indicates a greater likelihood of a topology relationship between the first power device and the power device combination.
In some embodiments, fig. 6 shows a flowchart of a topology identification method of a power device according to an exemplary embodiment of the present application. Step 340 described above is optionally implemented as step 620 and step 640:
step 620, determining a first power device combination satisfying the screening condition from the respective power device combinations based on the topology parameters between the first power device and the respective power device combinations.
The screening conditions are conditions determined based on topology parameters.
The first power equipment combination is a power equipment combination satisfying the screening condition among the respective power equipment combinations.
For example, a first power device combination that satisfies the screening condition is determined from among the respective power device combinations based on a topology parameter between the first power device and the respective power device combinations.
Optionally, the topology parameter comprises a power error parameter. And determining the power equipment combination corresponding to the minimum power error parameter as the first power equipment combination meeting the screening condition based on the power error parameter between the first power equipment and each power equipment combination.
Optionally, the topology parameter comprises a correlation parameter. And determining the power equipment combination corresponding to the maximum correlation parameter as the first power equipment combination meeting the screening condition based on the correlation parameter between the first power equipment and each power equipment combination.
Optionally, the topology parameters include a power error parameter and a correlation parameter. And determining the power equipment combination corresponding to the minimum power error parameter and the maximum correlation parameter as the first power equipment combination meeting the screening condition based on the power error parameter and the correlation parameter between the first power equipment and each power equipment combination.
In some embodiments, the power error parameter weight and the correlation parameter weight may also be determined based on the power error parameter and the correlation parameter respectively corresponding to each power device combination. And carrying out weighted summation according to the power error parameter, the correlation parameter, the power error parameter weight and the correlation parameter weight to obtain the combination scores respectively corresponding to the power equipment combinations, and determining the power equipment combination corresponding to the highest combination score as the first power equipment combination meeting the screening condition.
At step 640, at least two other power devices included in the first power device combination are determined as at least two second power devices having a topological relationship with the first power device.
For example, at least two other power devices included in the first power device combination are determined as at least two second power devices having a topological relationship with the first power device. And then, respectively taking at least two power devices as the first power device of the next round, iterating in the same way as the previous embodiments, and obtaining the topological relation among all the power devices after all the power devices are traversed.
In the embodiment, the topological relation between the power equipment can be accurately identified by combining the topological parameters, so that the identification efficiency is improved.
In order to more clearly describe the topology identification method of the power device provided in the present embodiment, the following is exemplified in connection with a specific example.
Monolithic architecture
Fig. 8 illustrates a structural diagram of a topology identification method of a power device according to an exemplary embodiment of the present application. The overall procedure is briefly described as follows:
1. historical power data for each power device is obtained. As shown in table (1) in fig. 8, power values corresponding to each of the power devices 1 (device 1) to 5 (device 5) at the same 5 time points are obtained. Each row of table (1) represents a point in time, each representing a power value of the power device.
2. The historical power data of each power device is ordered, and the power device corresponding to the maximum historical power data is determined as the first power device (upper power device). As shown in table (2) in fig. 8, the power values of the power devices 1 (device 1) to 5 (device 5) are ordered in order from small to large, and the first power device is the power device2 (device 2).
3. In an exhaustive manner, individual power device combinations are determined. As shown in table (3) in fig. 8, each of two, three, and four power devices 1, 3, 4, and 5 are combined to obtain each power device combination.
4. A power error parameter (MAPE) and a correlation parameter (correlation) between the first power device and each power device combination are calculated. Based on table (3) and table (4) in fig. 8, the calculation is performed according to the formula corresponding to step 320 in the foregoing embodiment, completing step (5) in fig. 8.
5. And screening a first power equipment combination meeting screening conditions from the power equipment combinations, and determining at least two power equipment contained in the first power equipment combination as second power equipment (subordinate power equipment) in topological relation with the first power equipment. Step (6) of fig. 8 is completed according to step 340 of the previous embodiment. The iterative relationship determined this time can be represented as a schematic part (7) in fig. 8.
6. And (3) adopting the same mode as in the steps (1-5), taking the second power equipment identified in the step (5) as the first power equipment, and continuing to iteratively identify the corresponding lower power equipment. In this way, step (8) (10) in fig. 8 is iteratively completed, and the subsequent iterative relationship may continue to be represented as schematic portion (9) (11) in fig. 8 until step is completed (12), i.e., all power devices are traversed.
Topology identification of the consumer-side device
Taking the example that the power device is a power-using side device, the power device may be some factory devices, such as: at least one of a lighting device and a mechanical device; the historical power data for the power device is near 30 days power data.
Fig. 9 is a schematic diagram illustrating a topology identification method of a power device according to an exemplary embodiment of the present application. The steps are briefly described as follows:
1. acquiring historical power data (historical power time series) of the power equipment in the last 30 days;
2. data cleaning, namely filling missing values based on the front and rear items of the missing values;
3. respectively calculating historical power average values of all the power equipment within 30 days;
4. sequencing the historical power average values in order from small to large;
5. Selecting a first power device (an upper power device) with the largest historical power average value, and combining all the remaining power devices except the first power device to obtain power device combinations, wherein each power device combination comprises at least two power devices, calculating the sum of historical power data of each power device combination at each time point, and each power device combination can obtain a new historical power time sequence; then, selecting a power equipment combination;
6. calculating an error MAPE and a correlation between the first power equipment and the power equipment combination selected in the step 5;
7. determine whether MAPE is less than a first threshold? If yes, continuing to execute 8, otherwise discarding the power equipment combination, and executing 5 again to reselect one power equipment combination;
8. determine if corridation is less than a second threshold? If yes, continuing to execute the step 9, otherwise discarding the power equipment combination, and executing the step 5 again to reselect one power equipment combination;
9. retaining the calculation result of the power equipment combination;
10. selecting a power equipment combination with the smallest error and the largest correlation as at least two second power equipment (subordinate power equipment) which have topological relation with the first power equipment;
11. Taking at least two second power equipment as the first power equipment in the step 5 respectively;
12. continuously repeating the steps 5-10 until all the subordinate power equipment is traversed;
13. traversing lower-level power equipment in the same way to find a topological relation;
14. and (5) continuously iterating until all power equipment is traversed, and finding all topological relations.
Topology identification of the power supply side device
Taking the example that the power device is a power supply side device, the power device includes a feeder (which may be regarded as one virtual power device) and a blower. One feeder line can be connected with a plurality of fans, the feeder line is equivalent to upper-level power equipment, and the fans are equivalent to lower-level power equipment. In this embodiment, only the topological relation exists between the feeder and the fans, and no topological relation exists between the fans. The historical power data of the electrical device includes feeder data and fan data.
Fig. 10 is a schematic diagram illustrating a topology identification method of a power device according to an exemplary embodiment of the present application. The steps are briefly described as follows:
1. acquiring feeder line data of each feeder line and fan data (namely power data) of each fan;
2. carrying out missing value processing on feeder line data and fan data, and directly deleting;
3. Taking feeder data of one feeder from each feeder;
4. determining each fan equipment combination, summing the power data of each fan equipment combination, and calculating a new combined power time sequence corresponding to each fan equipment combination;
5. selecting one fan equipment combination from all the fan equipment combinations;
6. calculating map and corridation between the feeder data of the feeder selected in the step 3 and the fan equipment combination selected in the step 5;
7. judging whether map and corridation respectively meet corresponding thresholds; if yes, continuing to execute the step 8, otherwise, re-executing the step 5 to re-select a fan equipment combination;
8. saving the calculation result of the fan equipment combination;
9. judging whether all fan equipment combinations are traversed or not; if yes, continuing to execute 10, otherwise, re-executing 5;
10. storing the calculation results of all fan equipment combinations;
11. judging whether all feeder lines are traversed or not; if yes, continuing to execute 12, otherwise, re-executing 3;
12. finding out the fan equipment combination with the minimum map and the maximum corridation in the fan equipment combinations as the subordinate equipment of the feeder line; and iterating all the feeder lines until each feeder line is traversed, and obtaining the topological relation between the feeder lines and the fans.
Validity verification
Fig. 11 is a schematic diagram showing a topology identification result of a power device according to an exemplary embodiment of the present application. In fig. 11, (1) to (4) show power curves of different power devices and power device combinations having a topological relation with the power devices, respectively. The abscissa indicates time in minutes; the ordinate indicates power in kw. As can be seen from fig. 11, there is a certain error between the power equipment and the power equipment combination having topological relation with the power equipment, but the overall identification is ideal, and the curve fitting degree is good.
Because the power consumption of the power equipment in different time periods is different, the identification results obtained by adopting the method for carrying out topology identification also have inconsistency, and in order to ensure the effectiveness of the algorithm, the identification results with high accuracy can be obtained only by acquiring relatively stable power data of the power equipment. Fig. 12 is a schematic diagram showing a topology identification result of a power device according to an exemplary embodiment of the present application. As shown in part (1) of fig. 12, mape=0, correlation= 0.9758 between the power device and the power device combination with which the power device has a topological relationship, and the recognition accuracy is about 90%. As shown in part (2) of fig. 12, mape=0, correlation= 0.9850 between the power device and the power device combination with which the power device has a topological relationship, and the recognition accuracy is about 95%.
The method of the embodiment also performs validity verification in three fields of a factory A (electricity utilization side), a building B (electricity utilization side) and a wind farm C (electricity supply side). The power data of the power equipment for one month are used in the factory A and the building B, the power data of the power equipment for one week are used in the wind field C, the power data of the power equipment for one week are used in the factory A, the power equipment for 200 pieces of power equipment are used in the wind field C, the accuracy of algorithm identification is 85% due to the fact that the line loss between the power equipment is large, the power equipment for 40 pieces of power equipment are used in the building B, the power equipment for 30 pieces of equipment are used in the wind field C, the line loss influence between the power equipment for the building B and the power equipment for the wind field C is small, and the accuracy of identification is 100%.
Fig. 13 is a schematic diagram showing a topology identification result of a power device according to an exemplary embodiment of the present application. In fig. 13, (1) and (2) are verification results of topology identification results of power devices of the plant a, each number represents one power device, two power devices which are not started (do not participate in identification calculation) are provided, two power devices which are in topology position identification errors are provided, part of power devices are not shown due to typesetting problems, and most of topology position identification of the power devices is correct due to the influence of line loss, so that the identification accuracy is about 85%.
Fig. 14 is a schematic diagram showing a topology identification result of a power device according to an exemplary embodiment of the present application. Wherein each number in fig. 14 characterizes one room, the recognition accuracy can reach 100%.
Fig. 15 is a schematic diagram showing a topology identification result of a power device according to an exemplary embodiment of the present application. In fig. 14, part (1) shows verification with data of the week (7 days) of the power plant of the wind farm C. The wind field C mainly automatically identifies the topological relation between the feeder lines and the fans through the method, and as shown in part (2) in fig. 14, the topological relation between three feeder lines and the fans can be identified by only using one week of data, and the identification accuracy can reach 100%.
In summary, the method provided by the embodiment of the application does not need to install hardware equipment in a communication unit, does not need prior relation information among the equipment, is a topology identification method without supervision learning, can directly find out the topology relation among the power equipment without additional manual intervention, and is simple, easy to implement and strong in operability. The method of the embodiment can also help equipment management personnel to better verify the topological relation between the power equipment, meanwhile, the energy loss problem existing between the upper and lower stages of the power equipment can also be calculated, and the same-direction comparison can also be provided to check whether the same power equipment is normal or not. In some scenes, the topological relation among the power equipment can also carry out advanced alarm analysis, check whether the upper and lower alarms are consistent, so that the first alarm can be conveniently analyzed and positioned, and invalid alarms are removed.
Fig. 16 is a block diagram illustrating a topology identification apparatus of a power device according to an exemplary embodiment of the present application. The topology identification apparatus 800 of a power device includes:
the acquiring module 810 is configured to acquire historical power data of each of at least two power devices.
A determining module 820 is configured to determine a first power device of the at least two power devices based on the historical power data.
A processing module 830, configured to determine, based on a topology parameter between the first power device and other power devices, at least two second power devices that have a topological relationship with the first power device; the topology parameter is used to characterize the topology relationship, and the other power devices refer to power devices other than the first power device.
The processing module 830 is configured to re-execute the step of determining, based on the topology parameters between the first power device and the other power devices, at least two second power devices having a topological relation with the first power device, until all the power devices in the at least two power devices have traversed.
In some embodiments, the processing module 830 is configured to:
calculating topology parameters between the first power device and each power device combination; each power equipment combination comprises at least two other power equipment;
determining the at least two second power devices in topological relation to the first power device based on the topological parameters between the first power device and each of the power device combinations.
In some embodiments, the topology parameter includes a power error parameter.
In some embodiments, the processing module 830 is configured to:
determining a first historical power value corresponding to the first power equipment at a first time point and a second historical power value corresponding to each power equipment combination at the first time point respectively; the second historical power value is the sum of the historical power values corresponding to the other power devices in the power device combination at the first time point;
and carrying out product operation on the basis of the first historical power value and the second historical power value, and determining the power error parameters between the first power equipment and each power equipment combination.
In some embodiments, the topology parameter includes a correlation parameter.
In some embodiments, the processing module 830 is configured to:
determining a third historical power value corresponding to the first power equipment at a second time point and a third historical power average value in a second time period; the second time period is a time period including the second time point;
determining a fourth historical power value corresponding to each power equipment combination at the second time point and a fourth historical power average value in the second time period;
and carrying out product operation on the third historical power value, the third historical power average value, the fourth historical power value and the fourth historical power average value to determine the correlation parameters between the first power equipment and each power equipment combination.
In some embodiments, the processing module 830 is configured to:
determining a first power equipment combination meeting a screening condition from each power equipment combination based on the topological parameters between the first power equipment and each power equipment combination;
and determining at least two other power devices included in the first power device combination as the at least two second power devices having topological relation with the first power device.
In some embodiments, the processing module 830 is configured to:
determining a power device combination corresponding to a minimum power error parameter as the first power device combination satisfying the screening condition based on the power error parameters between the first power device and each of the power device combinations;
and determining a power equipment combination corresponding to the maximum correlation parameter as the first power equipment combination meeting the screening condition based on the correlation parameters between the first power equipment and each power equipment combination.
In some embodiments, the processing module 830 is configured to use an exhaustion method to combine at least two of the other power devices to determine each power device combination.
It should be noted that, the specific limitation in the embodiments of the topology identification apparatus of one or more electrical devices provided above may be referred to the limitation of the topology identification method of the electrical device hereinabove, and will not be described herein. The modules of the above device may be implemented in whole or in part by software, hardware, or a combination thereof, and each module may be embedded in hardware form or independent of a processor of the computer device, or may be stored in a memory of the computer device in software form, so that the processor may call and execute operations corresponding to each module.
The embodiment of the application also provides a computer device, which comprises: a processor and a memory, the memory storing a computer program; and the processor is used for executing the computer program in the memory to realize the topology identification method of the power equipment provided by each method embodiment.
Optionally, the computer device is a server. Fig. 17 is a block diagram illustrating a structure of a server according to an exemplary embodiment of the present application.
In general, the server 1000 includes: a processor 1001 and a memory 1002.
The processor 1001 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 1001 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 1001 may also include a main processor, which is a processor for processing data in an awake state, also referred to as a central processor (Central Processing Unit, CPU), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 1001 may be integrated with an image processor (Graphics Processing Unit, GPU) for use in the rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 1001 may also include an artificial intelligence (Artificial Intelligence, AI) processor for processing computing operations related to machine learning.
Memory 1002 may include one or more computer-readable storage media, which may be non-transitory. Memory 1002 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1002 is used to store at least one instruction for execution by processor 1001 to implement the topology identification method of a power device provided by an embodiment of the method in the present application.
In some embodiments, the server 1000 may further optionally include: an input interface 1003 and an output interface 1004. The processor 1001, the memory 1002, the input interface 1003, and the output interface 1004 may be connected by a bus or signal lines. The respective peripheral devices may be connected to the input interface 1003 and the output interface 1004 through buses, signal lines, or circuit boards. Input interface 1003, output interface 1004 may be used to connect at least one Input/Output (I/O) related peripheral device to processor 1001 and memory 1002. In some embodiments, the processor 1001, the memory 1002, and the input interface 1003, the output interface 1004 are integrated on the same chip or circuit board; in some other embodiments, any one or both of the processor 1001, the memory 1002, and the input interface 1003, the output interface 1004 may be implemented on a separate chip or circuit board, as embodiments of the application are not limited in this respect.
Those skilled in the art will appreciate that the architecture shown in fig. 17 is not limiting of the computer device and may include more or fewer components than shown, or may combine certain components, or employ a different arrangement of components.
In an exemplary embodiment, the present application provides a chip including programmable logic circuits and/or program instructions for implementing the topology identification method of the power device provided by the above method embodiment when the chip is run on a computer device.
The present application provides a computer-readable storage medium storing a computer program loaded and executed by a processor to implement the topology identification method of the power device provided by the above-described method embodiment.
The present application provides a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the processor of the computer device loads and executes the computer instructions to implement the topology identification method of the power device provided by the method embodiment.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that all or a portion of the steps implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the above mentioned computer readable storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The foregoing description of the preferred embodiments of the present application is not intended to limit the application, but rather, the application is to be construed as limited to the appended claims.
Claims (11)
1. A method of topology identification of an electrical device, the method comprising:
acquiring historical power data of each of at least two power devices;
determining a first power device of the at least two power devices based on the historical power data;
determining at least two second power devices having a topological relation with the first power device based on topological parameters between the first power device and other power devices; the topology parameter is used for representing the topology relation, and the other power equipment refers to power equipment except the first power equipment;
and respectively taking the at least two second power devices as the first power devices of the next round, and re-executing the step of determining the at least two second power devices which have topological relation with the first power device based on the topological parameters between the first power device and other power devices until all the power devices in the at least two power devices are traversed.
2. The method of claim 1, wherein the determining at least two second power devices in topological relation to the first power device based on topological parameters between the first power device and other power devices comprises:
Calculating topology parameters between the first power device and each power device combination; each power equipment combination comprises at least two other power equipment;
determining the at least two second power devices in topological relation to the first power device based on the topological parameters between the first power device and each of the power device combinations.
3. The method of claim 2, wherein the topology parameter comprises a power error parameter; the calculating topology parameters between the first power device and each power device combination includes:
determining a first historical power value corresponding to the first power equipment at a first time point and a second historical power value corresponding to each power equipment combination at the first time point respectively; the second historical power value is the sum of the historical power values corresponding to the other power devices in the power device combination at the first time point;
and carrying out product operation on the basis of the first historical power value and the second historical power value, and determining the power error parameters between the first power equipment and each power equipment combination.
4. The method of claim 2, wherein the topology parameters include correlation parameters; the calculating topology parameters between the first power device and each power device combination includes:
determining a third historical power value corresponding to the first power equipment at a second time point and a third historical power average value in a second time period; the second time period is a time period including the second time point;
determining a fourth historical power value corresponding to each power equipment combination at the second time point and a fourth historical power average value in the second time period;
and carrying out product operation on the third historical power value, the third historical power average value, the fourth historical power value and the fourth historical power average value to determine the correlation parameters between the first power equipment and each power equipment combination.
5. The method of claim 2, wherein the determining the at least two second power devices that are in topological relation to the first power device based on the topological parameters between the first power device and each of the power device combinations comprises:
Determining a first power equipment combination meeting a screening condition from each power equipment combination based on the topological parameters between the first power equipment and each power equipment combination;
and determining at least two other power devices included in the first power device combination as the at least two second power devices having topological relation with the first power device.
6. The method of claim 5, wherein the determining a first power device combination that satisfies a screening condition from each of the power device combinations based on the topology parameters between the first power device and each of the power device combinations comprises at least one of:
determining a power device combination corresponding to a minimum power error parameter as the first power device combination satisfying the screening condition based on the power error parameters between the first power device and each of the power device combinations;
and determining a power equipment combination corresponding to the maximum correlation parameter as the first power equipment combination meeting the screening condition based on the correlation parameters between the first power equipment and each power equipment combination.
7. The method according to claim 2, wherein the method further comprises:
and combining at least two other power devices in the other power devices in an exhaustion mode to determine the combination of the power devices.
8. A topology identification apparatus of an electrical device, the apparatus comprising:
the acquisition module is used for acquiring the historical power data of each of at least two power devices;
a determining module for determining a first power device of the at least two power devices based on the historical power data;
a processing module, configured to determine at least two second power devices having a topological relation with the first power device based on a topological parameter between the first power device and other power devices; the topology parameter is used for representing the topology relation, and the other power equipment refers to power equipment except the first power equipment;
the processing module is configured to re-execute the step of determining at least two second power devices having a topological relation with the first power device based on the topological parameters between the first power device and other power devices, with the at least two second power devices being respectively used as a next round of first power devices, until all the power devices in the at least two power devices have been traversed.
9. A computer device, the computer device comprising: a processor and a memory storing a computer program that is loaded and executed by the processor to implement the topology identification method of a power device according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program loaded and executed by a processor to implement the topology identification method of a power device of any of claims 1 to 7.
11. A computer program product, characterized in that it comprises computer instructions stored in a computer-readable storage medium, from which a processor obtains the computer instructions, such that the processor loads and executes to implement the topology identification method of a power device according to any of claims 1 to 7.
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