Method and device for determining line loss of transformer area, processor and electronic equipment

Abstract

The invention discloses a line loss determination method and device of a transformer area, a processor and electronic equipment. The method comprises the steps that a target label is determined from at least one label of a transformer area, and the label is used for representing attributes of the transformer area in the electric energy consumption process in a historical time period; in the interval range of the target label, determining parameters of the target label; based on the parameters, determining a line loss threshold of the transformer area in a sub-historical period from at least one piece of candidate line loss data of the transformer area, the historical period including the sub-historical period, and the candidate line loss data being used for representing line loss data except the abnormal line loss data in the line loss data in the historical period; the line loss data is used for representing the loss amount of the electric energy in the transformer area, and the line loss threshold value is used for representing the transmission rate of the electric energy in the transformer area. The technical problem that the accuracy of determining the line loss of the transformer area is low is solved.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to a method, device, processor and electronic equipment for determining line loss in a transformer substation. Background Art

[0002] In the process of line loss calculation, if there is a slight deviation in the original data of the substation, it will cause the error of the line loss to be too large, thus leading to the technical problem of low accuracy in determining the line loss of the substation.

[0003] With respect to the above-mentioned technical problem of low accuracy in determining the line loss in the substation area, no effective solution has been proposed so far. Summary of the invention

[0004] The embodiments of the present invention provide a method, device, processor and electronic device for determining line loss in a transformer area, so as to at least solve the technical problem of low accuracy of line loss in the transformer area.

[0005] According to one aspect of an embodiment of the present invention, a method for determining line loss in a substation is provided, the method comprising: determining a target tag from at least one tag of the substation, wherein the tag is used to represent the attributes of the substation in the process of consuming electric energy in a historical period; determining parameters of the target tag within a range of the target tag; based on the parameters, determining a line loss threshold of the substation in a sub-historical period from at least one candidate line loss data of the substation, wherein the historical period includes a sub-historical period, the candidate line loss data is used to represent line loss data other than abnormal line loss data in the line loss data in the historical period, the line loss data is used to represent the amount of electric energy lost in the substation, and the line loss threshold is used to represent the transmission rate of electric energy in the substation.

[0006] Optionally, determining the parameters of the target tag within the interval range of the target tag includes: determining the parameters from at least one candidate parameter of the target tag within the interval range of the target tag; in response to the parameter not matching the type of the station area, adjusting the interval range according to the type; and determining the parameters within the adjusted interval range.

[0007] Optionally, determining the parameter within the adjusted interval includes: updating at least one candidate parameter within the adjusted interval; and determining the parameter from the at least one updated candidate parameter.

[0008] Optionally, based on the parameters, a line loss threshold of the substation in the substation within the sub-historical period is determined from at least one candidate line loss data of the substation, including: determining the number of samples of the substation that meet the parameters; according to the number of samples, determining the candidate line loss data that meets the parameters from at least one candidate line loss data as the target candidate line loss data; and determining the line loss threshold based on the target candidate line loss data.

[0009] Optionally, determining the line loss threshold based on the target candidate line loss data includes: sorting the target candidate line loss data; and determining data located in the middle position of the sorted target candidate line loss data as the line loss threshold.

[0010] Optionally, the method further includes: classifying the attributes to obtain a classification result; and determining a label corresponding to the classification result according to an association relationship between the classification result and the label.

[0011] According to one aspect of an embodiment of the present invention, a line loss determination device for a substation is provided, and the device may include: a first determination unit, used to determine a target tag from at least one tag of the substation, wherein the tag is used to represent the attributes of the substation in the process of consuming electric energy in a historical period; a second determination unit, used to determine the parameters of the target tag within the interval range of the target tag; a third determination unit, used to determine the line loss threshold of the substation in a sub-historical period based on the parameters from at least one candidate line loss data of the substation, wherein the historical period includes a sub-historical period, the candidate line loss data is used to represent the line loss data in the historical period except for abnormal line loss data, the line loss data is used to represent the amount of electric energy lost in the substation, and the line loss threshold is used to represent the transmission rate of electric energy in the substation.

[0012] According to another aspect of an embodiment of the present invention, a processor is provided, wherein the processor is used to run a program, wherein when the program is run by the processor, the line loss determination method of the substation in the embodiment of the present invention is executed.

[0013] According to another aspect of an embodiment of the present invention, an electronic device is provided, including: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the line loss determination method for the substation in each embodiment of the present invention is executed.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the line loss determination method of the substation in the present invention.

[0015] According to another aspect of the embodiments of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the line loss determination method of the substation in the embodiments of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the line loss determination method of the substation in the embodiment of the present invention is implemented.

[0017] According to another aspect of the embodiments of the present invention, the embodiments of the present application further provide a computer program, which, when executed by a processor, implements the line loss determination method for a substation in the above-mentioned embodiments of the present invention.

[0018] In an embodiment of the present invention, when determining the line loss of a substation, a target tag can be determined from at least one tag of the substation. Within the interval of the determined target tag, the parameters of the target tag can be determined, and based on the determined parameters of the target tag, the line loss threshold of the substation in the sub-historical period can be determined from at least one candidate line loss data of the substation, thereby achieving the purpose of avoiding excessive errors in line loss, thereby solving the technical problem of low accuracy in determining the line loss of the substation, and further achieving the technical effect of improving the accuracy of determining the line loss of the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a method for determining line loss in a substation according to an embodiment of the present invention;

[0021] Figure 2 is a flow chart of a method for calculating theoretical line loss of an area based on an area label according to an embodiment of the present invention;

[0022] Figure 3 It is a schematic diagram of a line loss determination device for a substation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] According to an embodiment of the present invention, a method for determining line loss in a substation is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0026] Figure 1 is a flow chart of a method for determining line loss in a substation according to an embodiment of the present invention. The method may include the following steps:

[0027] Step S101, determining a target tag from at least one tag in a station area.

[0028] In the technical solution provided in the above step S101 of the present invention, the above label can be used to indicate the attributes of the power consumption of the substation in the historical period.

[0029] In this embodiment, the above attributes may include at least one of the following: power consumption characteristics of the substation, trunk wire material, distribution transformer capacity, power supply, power supply radius, number of users, number of charging piles, total capacity of charging piles, number of photovoltaic grid-connected households, total photovoltaic grid-connected capacity and data time, etc. These are only examples for illustration and are not specifically limited.

[0030] In this embodiment, the above-mentioned electricity consumption characteristics of the substation may include at least one of the following characteristics: the characteristic that the electricity consumption of agricultural households accounts for more than 90% of the total electricity sales, the characteristic that the electricity consumption of industrial households accounts for more than 90% of the total electricity sales, the characteristic that the electricity consumption of commercial households accounts for more than 90% of the total electricity sales, the characteristic of pure commercial electricity consumption, the characteristic of pure residential electricity consumption, the characteristic of pure agricultural electricity consumption and the characteristic of pure industrial electricity consumption, etc. These are merely examples and are not specifically limited.

[0031] In this embodiment, the above-mentioned main wire material may include at least one of the following wire materials: different types of cable aluminum, different types of aluminum and different types of copper, etc., which are only used as examples here and are not specifically limited.

[0032] In this embodiment, the above-mentioned power supply may include: daily power supply and monthly power supply.

[0033] In this embodiment, the data time may include: data date and data month, wherein the data date may be displayed as X year X month X day, and the data month may be displayed as X year X month, which is only used as an example and is not specifically limited.

[0034] In this embodiment, the target tag is determined from at least one tag of the station. Optionally, based on the establishment of a tag library of the station, this embodiment can select at least one tag of the station from the tag library, and determine the target tag from the selected at least one tag. The tag library can include: at least one tag of the station, which is only used as an example and is not specifically limited.

[0035] Step S102, determining the parameters of the target tag within the interval range of the target tag.

[0036] In the technical solution provided in step S102 of the present invention, the interval range of the target tag may be an interval range set by initialization. The interval range of the target tag may also be an interval range obtained by adjusting the interval range set by initialization according to the power consumption characteristics of the substation area, which is only used as an example and is not specifically limited.

[0037] In this embodiment, after determining the target tag from at least one tag in the station area, the parameter of the target tag is determined within the interval range of the target tag. Optionally, based on the determination of the target tag, at least one candidate parameter of the target tag can be determined within the interval range of the target tag. The parameter of the target tag can be determined from the determined at least one candidate parameter.

[0038] Step S103, based on the parameters, determine the line loss threshold of the substation in the sub-historical period from at least one candidate line loss data of the substation.

[0039] In the technical solution provided in the above step S103 of the present invention, the above historical period may include a sub-historical period.

[0040] In this embodiment, the candidate line loss data can be used to represent line loss data other than abnormal line loss data in the line loss data within the historical period. The candidate line loss data can at least include: daily line loss data and monthly line loss data, etc. The daily line loss data can also be called daily line loss value, and the monthly line loss data can also be called monthly line loss value, which is only used as an example and is not specifically limited.

[0041] In this embodiment, the line loss data can be used to indicate the amount of power loss in the substation. The daily line loss data can be used to indicate the amount of power loss in the substation every day. The monthly line loss data can be used to indicate the amount of power loss in the substation every month.

[0042] In this embodiment, the line loss threshold may be used to represent the transmission rate of electric energy in the substation.

[0043] In this embodiment, after determining the parameters of the target tag within the interval range of the target tag, based on the parameters, the line loss threshold of the substation in the sub-historical period is determined from at least one candidate line loss data of the substation. Optionally, based on the determination of the parameters of the target tag, the embodiment can determine the number of samples of the substation that meet the above parameters, and according to the determined number of samples, the line loss threshold of the substation in the sub-historical period can be determined from at least one candidate line loss data of the substation.

[0044] Optionally, according to the determined number of samples, the line loss threshold of the substation area within one day can be determined from at least one day's line loss data of the substation area. Alternatively, according to the determined number of samples, the line loss threshold of the substation area within one month can be determined from at least one month's daily line loss data of the substation area. This is only an example and is not specifically limited.

[0045] It should be noted that the candidate line loss data is the normal line loss data remaining after the abnormal line loss data in the history of the substation area has been cleaned. For example, the candidate line loss data may at least include: the normal daily line loss data remaining after the abnormal daily line loss data in the history of the substation area has been cleaned, and the normal monthly line loss data remaining after the abnormal monthly line loss data in the history of the substation area has been cleaned.

[0046] In the above steps S101 to S103 of the present application, when determining the line loss of the substation, a target tag can be determined from at least one tag of the substation. Within the interval range of the above target tag determined, the parameters of the target tag can be determined, and based on the parameters of the above target tag determined, the line loss threshold of the substation in the sub-historical period can be determined from at least one candidate line loss data of the substation, thereby achieving the purpose of avoiding excessive errors in line loss, thereby solving the technical problem of low accuracy in determining the line loss of the substation, and further achieving the technical effect of improving the accuracy of determining the line loss of the substation.

[0047] The above method of this embodiment is further introduced below.

[0048] As an optional implementation method, step S102, determining the parameters of the target tag within the interval range of the target tag, includes: determining the parameters from at least one candidate parameter of the target tag within the interval range of the target tag; in response to the parameter not matching the type of the station area, adjusting the interval range according to the type; and determining the parameters within the adjusted interval range.

[0049] In this embodiment, the abnormal image data may be used to indicate that an interruption has occurred in the process of performing an operation in the target operation scenario.

[0050] In this embodiment, the restoration may be a scene restoration performed in a three-dimensional (3-Dimensional, 3D for short) mode.

[0051] In this embodiment, after determining the target tag from at least one tag in the station area, a parameter is determined from at least one candidate parameter of the target tag within the interval range of the target tag. Optionally, this embodiment can determine at least one candidate parameter of the target tag within the interval range of the target tag based on the determination of the target tag. The parameter of the target tag can be determined from the determined at least one candidate parameter.

[0052] In this embodiment, after determining the parameter from at least one candidate parameter of the target tag within the interval range of the target tag, in response to the parameter not matching the type of the station, the interval range is adjusted according to the type. Optionally, based on the determination of the parameter, this embodiment determines whether the parameter matches the type of the station. If it is determined that the parameter does not match the type of the station, the interval range of the target tag is adjusted according to the type of the station, for example, the interval range of the target tag is increased so that the parameter within the adjusted interval range matches the type of the station. The increased interval range includes the interval range before the increase.

[0053] In this embodiment, in response to the parameter not matching the type of the station, after adjusting the interval range according to the type, the parameter is determined within the adjusted interval range. Optionally, this embodiment can re-determine the parameter of the target tag within the adjusted interval range of the target tag based on adjusting the interval range of the target tag.

[0054] As an optional implementation manner, determining the parameter within the adjusted interval includes: updating at least one candidate parameter within the adjusted interval; and determining the parameter from the at least one updated candidate parameter.

[0055] In this embodiment, in response to the parameter not matching the type of the station, after adjusting the interval range according to the type, at least one candidate parameter is updated within the adjusted interval range. Optionally, this embodiment updates at least one candidate parameter of the target tag within the adjusted interval range of the target tag based on adjusting the interval range of the target tag.

[0056] In this embodiment, after updating at least one candidate parameter within the adjusted interval, the parameter is determined from the updated at least one candidate parameter. Optionally, this embodiment can determine the parameter of the target tag from the updated at least one candidate parameter of the target tag based on the updated at least one candidate parameter.

[0057] As an optional implementation method, step S103, based on the parameters, determines the line loss threshold of the substation in the substation within the sub-historical period from at least one candidate line loss data of the substation, including: determining the number of samples of the substation that meet the parameters; according to the number of samples, determining the candidate line loss data that meets the parameters from at least one candidate line loss data as the target candidate line loss data; and determining the line loss threshold based on the target candidate line loss data.

[0058] In this embodiment, after determining the parameters of the target tag within the interval range of the target tag, the number of samples of the station area that meets the parameters is determined. Optionally, this embodiment can determine the number of samples of the station area that meets the parameters based on determining the parameters of the target tag.

[0059] In this embodiment, after determining the number of samples of the substations that meet the parameters, the candidate line loss data that meets the parameters is determined as the target candidate line loss data from at least one candidate line loss data according to the number of samples. Optionally, based on the number of samples of the substations that meet the parameters, the embodiment selects the substations that meet the sample data according to the number of samples of the substations that meet the parameters. From the at least one candidate line loss data of the selected substations, the candidate line loss data that meets the parameters can be determined, and the determined candidate line loss data that meets the parameters is determined as the target candidate line loss data.

[0060] In this embodiment, after determining the candidate line loss data that meets the parameters from at least one candidate line loss data according to the number of samples as the target candidate line loss data, the line loss threshold is determined based on the target candidate line loss data. Optionally, this embodiment can obtain the line loss threshold of the substation in the sub-historical period by sorting the target candidate line loss data based on the determination of the target candidate line loss data.

[0061] As an optional implementation manner, determining a line loss threshold based on target candidate line loss data includes: sorting the target candidate line loss data; and determining data located in the middle position of the sorted target candidate line loss data as the line loss threshold.

[0062] In this embodiment, after determining, according to the number of samples, from at least one candidate line loss data, the candidate line loss data that meets the parameters as the target candidate line loss data, the target candidate line loss data is sorted. Optionally, this embodiment sorts the target candidate line loss data based on the determination of the target candidate line loss data. For example, the target candidate line loss data is sorted in descending order, or the target candidate line loss data is sorted in ascending order, which is only used as an example and is not specifically limited.

[0063] In this embodiment, after the target candidate line loss data are sorted, the data located in the middle of the sorted target candidate line loss data are determined as the line loss threshold. Optionally, this embodiment can determine the data located in the middle of the sorted target candidate line loss data from the sorted target candidate line loss data on the basis of sorting the target candidate line loss data, and determine the determined data as the line loss threshold of the substation in the sub-historical period.

[0064] As an optional implementation manner, the method further includes: classifying the attributes to obtain a classification result; and determining a label corresponding to the classification result according to an association relationship between the classification result and the label.

[0065] In this embodiment, the attributes are classified to obtain the classification results. Optionally, this embodiment classifies the attributes of the power consumption of the substation in the historical period to obtain the classification results. The classification results can be used to indicate the categories to which the above attributes belong.

[0066] In this embodiment, after the attributes are classified and the classification results are obtained, the labels corresponding to the classification results are determined according to the association relationship between the classification results and the labels. Optionally, based on the classification results, this embodiment determines the association relationship between the categories to which the above attributes belong and the labels. If it is determined that the association between the category and the label is greater than or equal to the association threshold, the label is determined as the label corresponding to the classification result; if it is determined that the association between the category and the label is less than the association threshold, the label is deleted.

[0067] In an embodiment of the present invention, when determining the line loss of a substation, a target tag can be determined from at least one tag of the substation. Within the interval of the determined target tag, the parameters of the target tag can be determined, and based on the determined parameters of the target tag, the line loss threshold of the substation in the sub-historical period can be determined from at least one candidate line loss data of the substation, thereby achieving the purpose of avoiding excessive errors in line loss, thereby solving the technical problem of low accuracy in determining the line loss of the substation, and further achieving the technical effect of improving the accuracy of determining the line loss of the substation.

[0068] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0069] In the process of line loss calculation, if there is a slight deviation in the original data of the substation, it will cause the error of the line loss to be too large, thus leading to the technical problem of low accuracy in determining the line loss of the substation.

[0070] In order to solve the above technical problems, an embodiment of the present invention proposes a method for determining line loss of a substation, wherein a target label can be determined from at least one label of the substation, and parameters of the target label can be determined within the interval of the determined target label, and based on the determined parameters, a line loss threshold of the substation in a sub-historical period can be determined from multiple candidate line loss data of the substation, thereby achieving the purpose of avoiding excessive errors in line loss, thereby solving the technical problem of low accuracy in determining the line loss of the substation, and further achieving the technical effect of improving the accuracy of determining the line loss of the substation.

[0071] In this embodiment, the line loss of the substation area can be calculated by using a substation area theoretical line loss calculation method based on the substation area label. Figure 2 is a flow chart of a method for calculating theoretical line loss of an area based on an area label according to an embodiment of the present invention. Figure 2 As shown, the method may include the following steps:

[0072] Step S201, establishing a station area label library.

[0073] In the technical solution provided in the above step S201 of the present invention, a substation label library is constructed to subdivide the substation power consumption properties, trunk wire materials, capacity, power supply input, power supply radius, number of users, number of charging piles, total capacity of charging piles, number of photovoltaic grid-connected households, total photovoltaic grid-connected capacity labels, data time and other attributes.

[0074] In this embodiment, the above-mentioned electricity consumption characteristics of the substation may include at least one of the following characteristics: the characteristic that the electricity consumption of agricultural households accounts for more than 90% of the total electricity sales, the characteristic that the electricity consumption of industrial households accounts for more than 90% of the total electricity sales, the characteristic that the electricity consumption of commercial households accounts for more than 90% of the total electricity sales, the characteristic of pure commercial electricity consumption, the characteristic of pure residential electricity consumption, the characteristic of pure agricultural electricity consumption and the characteristic of pure industrial electricity consumption, etc. These are merely examples and are not specifically limited.

[0075] In this embodiment, the trunk wire may include at least one of the following wires: different types of cable aluminum, different types of aluminum, and different types of copper, etc. For example, different types of cable aluminum, different types of aluminum, and different types of copper may include at least the types of cable aluminum, aluminum, and copper listed in Table 1 below, which are only used as examples and are not specifically limited.

[0076] Table 1 Main wire types

[0077] Cable Aluminum Model Aluminum Model Copper Model Cable Aluminum 120 Aluminum 10 Copper 120 Cable Aluminum 185 Aluminum 120 Bronze 150 Cable Aluminum 2.5 Aluminum 150 Bronze 16 Cable Aluminum 25 Aluminum 16 Copper 185 Cable Aluminum 35 Aluminum 185 Copper 240 Cable Aluminum 50 Aluminum 240 Bronze 25 Cable Aluminum 70 Aluminum 25 Bronze 300 Cable Aluminum 95 Aluminum 300 Bronze 35 Cable copper 120 Aluminum 35 Copper 400 Cable copper 150 Aluminum 400 Bronze 50 Cable copper 16 Aluminum 50 Bronze 70 Cable copper 185 Aluminum 70 Bronze 95 Cable copper 240 Aluminum 90 Cable copper 25 Aluminum 95 Cable copper 300 Lead 50 Cable copper 35 Cable copper 400 Cable copper 50 Cable copper 70 Cable copper 95

[0078] In this embodiment, the above-mentioned load distribution may include at least one of the following distribution modes: uniform distribution over the entire line, a greater proportion of the head distribution than the tail distribution, a greater proportion of the tail distribution than the head distribution, normal end load, and a greater proportion of the middle distribution than the head distribution and the tail distribution. These are merely examples and are not specifically limited.

[0079] In this embodiment, the number of users may be limited to a user number interval value inputted by a user, wherein the user number interval value is determined by an upper limit value and a lower limit value. The number of charging piles may be limited to a user-defined inputted charging pile number interval value, wherein the charging pile number interval value is determined by an upper limit value and a lower limit value. The total capacity of the charging piles may be limited to a user-defined inputted charging pile total capacity interval value, wherein the charging pile total capacity interval value is determined by an upper limit value and a lower limit value. The number of photovoltaic grid-connected households may be limited to a user-defined inputted photovoltaic grid-connected households interval value, wherein the photovoltaic grid-connected households interval value is determined by an upper limit value and a lower limit value. The total photovoltaic grid-connected capacity may be limited to a user-defined inputted photovoltaic grid-connected total capacity interval value, wherein the photovoltaic grid-connected total capacity interval value is determined by an upper limit value and a lower limit value. The distribution transformer capacity may be limited to a user-defined inputted distribution transformer capacity interval value, wherein the distribution transformer capacity interval value is determined by an upper limit value and a lower limit value. The power supply radius may be limited by a user-defined power supply radius interval value, wherein the power supply radius interval value is determined by an upper limit value and a lower limit value.

[0080] In this embodiment, the power supply may include daily power supply and monthly power supply. The daily power supply and monthly power supply may be limited by interval values ​​inputted by user-defined input for the power supply, wherein the interval value is determined by an upper limit value and a lower limit value.

[0081] In this embodiment, the above-mentioned power supply may include: daily power supply and monthly power supply.

[0082] In this embodiment, the data time may include: data date and data month, wherein the data date may be displayed as X year X month X day, and the data month may be displayed as X year X month, which is only used as an example and is not specifically limited.

[0083] Step S202, clearing abnormal data in the historical daily line loss data of the substation area, or clearing abnormal data in the historical monthly line loss data of the substation area.

[0084] In the technical solution provided in step S202 of the present invention, the daily line loss value of the area line loss value greater than the first threshold is eliminated, or the monthly line loss value of the area line loss value greater than the first threshold is eliminated. The first threshold may be 20%, which is only used as an example and is not specifically limited.

[0085] In this embodiment, the daily line loss value of the area whose line loss value is less than the second threshold is eliminated, or the monthly line loss value of the area whose line loss value is less than the second threshold is eliminated. The second threshold may be 0%, which is only used as an example and is not specifically limited.

[0086] In this embodiment, the daily line loss value of the area line loss value greater than the preset multiple of the theoretical line loss value is eliminated, or the monthly line loss value of the area line loss value greater than the preset multiple of the theoretical line loss value is eliminated. The preset multiple can be 2 times, which is only used as an example here and is not specifically limited.

[0087] After cleaning the abnormal data, proceed to step S203 to establish a station area label history database.

[0088] In the technical solution provided in the above step S203 of the present invention, the normal daily line loss data remaining after cleaning the abnormal daily line loss data of the substation area is attached with a substation area label, and the daily data of each substation area is a sample unit. Alternatively, the normal monthly line loss data remaining after cleaning the abnormal monthly line loss data of the substation area is attached with a substation area label, and the monthly data of each substation area is a sample unit.

[0089] After the station area label history database is established, the process proceeds to step S204 to combine the labels and calculate the line loss threshold of the station area of ​​this type.

[0090] In the technical solution provided in the above step S204 of the present invention, all labels are selected and parameters are input, and then the number of samples matching the labels is calculated. If a label of a substation does not match the type of the substation, you can choose to relax the interval or select all intervals first. According to the number of samples, samples can be selected, and according to the selected samples, the daily line loss average / monthly line loss average of each substation within the selected time can be obtained, and then the median of the daily line loss average / monthly line loss average is calculated as the line loss threshold of the substation.

[0091] In this embodiment, the area theoretical line loss calculation method based on the area label can be used to calculate the average line loss of different types of areas as shown in the following table:

[0092] Table 2 Line loss calculation table for agricultural substations

[0093]

[0094] Table 3 Line loss calculation table for residential areas

[0095]

[0096] Table 4 Line loss calculation table for industrial area

[0097]

[0098]

[0099] Table 5 Line loss calculation table for commercial substations

[0100]

[0101] In this embodiment, when determining the line loss of the substation, a target tag can be determined from at least one tag of the substation. Within the interval range of the determined target tag, the parameters of the target tag can be determined, and based on the determined parameters of the target tag, the line loss threshold of the substation in the sub-historical period can be determined from at least one candidate line loss data of the substation, thereby achieving the purpose of avoiding excessive errors in line loss, thereby solving the technical problem of low accuracy in determining the line loss of the substation, and further achieving the technical effect of improving the accuracy of determining the line loss of the substation.

[0102] According to an embodiment of the present invention, a line loss determination device for a transformer area is also provided. It should be noted that the line loss determination device for a transformer area can be used to execute a line loss determination method for a transformer area in an embodiment.

[0103] Figure 3 Schematic diagram of a line loss determination device for a substation according to an embodiment of the present invention. Figure 3As shown, the line loss determination device 300 of the substation may include: a first determination unit 301 , a second determination unit 302 and a third determination unit 303 .

[0104] The first determining unit 301 is used to determine a target tag from at least one tag of the substation, wherein the tag is used to represent an attribute of the substation in the process of consuming electric energy in a historical period.

[0105] The second determining unit 302 is configured to determine a parameter of a target tag within a range of the target tag.

[0106] The third determination unit 303 is used to determine the line loss threshold of the substation within the sub-historical period based on parameters from at least one candidate line loss data of the substation, wherein the historical period includes the sub-historical period, the candidate line loss data is used to represent the line loss data in the historical period except for the abnormal line loss data, the line loss data is used to represent the loss amount of electric energy in the substation, and the line loss threshold is used to represent the transmission rate of electric energy in the substation.

[0107] Optionally, the second determination unit 302 may include: a first determination module, used to determine a parameter from at least one candidate parameter of the target tag within the interval range of the target tag; an adjustment module, used to adjust the interval range according to the type in response to the parameter not matching the type of the station area; and a second determination module, used to determine the parameter within the adjusted interval range.

[0108] Optionally, the second determination module may include: an updating submodule, used to update at least one candidate parameter within the adjusted interval; and a first determination submodule, used to determine the parameter from the at least one updated candidate parameter.

[0109] Optionally, the third determination unit 303 may include: a third determination module, used to determine the number of samples of substations that meet the parameters; a fourth determination module, used to determine, according to the number of samples, from at least one candidate line loss data, the candidate line loss data that meets the parameters as the target candidate line loss data; and a fifth determination module, used to determine the line loss threshold based on the target candidate line loss data.

[0110] Optionally, the fifth determination module may include: a sorting module, used to sort the target candidate line loss data; and a second determination submodule, used to determine the data located in the middle position of the sorted target candidate line loss data as the line loss threshold.

[0111] Optionally, the line loss determination device 300 of the substation may further include: a classification unit, used to classify the attributes to obtain a classification result; and a fourth determination unit, used to determine a label corresponding to the classification result according to an association relationship between the classification result and the label.

[0112] In this embodiment, a first determination unit is used to determine a target tag from at least one tag of the substation, wherein the tag is used to represent the attributes of the substation in the process of consuming electric energy in a historical period; a second determination unit is used to determine the parameters of the target tag within the interval range of the target tag; a third determination unit is used to determine the line loss threshold of the substation in a sub-historical period based on the parameters from at least one candidate line loss data of the substation, wherein the historical period includes a sub-historical period, the candidate line loss data is used to represent the line loss data in the historical period except for abnormal line loss data, the line loss data is used to represent the amount of electric energy lost in the substation, and the line loss threshold is used to represent the transmission rate of electric energy in the substation, thereby achieving the purpose of avoiding excessive errors in line loss, thereby solving the technical problem of low accuracy in determining the line loss of the substation, and further achieving the technical effect of improving the accuracy of determining the line loss of the substation.

[0113] According to an embodiment of the present invention, a processor is further provided, the processor being used to run a program, wherein when the program is run by the processor, the line loss determination method for the station area in the embodiment is executed.

[0114] According to an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the line loss determination method for the substation in the embodiment is executed when the program is running.

[0115] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the line loss determination method of the substation in the embodiment.

[0116] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes a computer program. When the computer program is executed by a processor, the line loss determination method of the substation in the embodiment is implemented.

[0117] According to an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the line loss determination method of the substation in the embodiment is implemented.

[0118] According to an embodiment of the present invention, a computer program is also provided. When the computer program is executed by a processor, the line loss determination method of the substation in the embodiment is implemented.

[0119] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0120] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0121] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0122] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0123] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0124] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the relevant technology or the whole or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, referred to as Read-Only Memory), random access memory (RAM, referred to as Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0125] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining line loss in a substation, characterized in that: include: Determining a target tag from at least one tag of the substation, wherein the tag is used to represent an attribute of the substation in a process of consuming electric energy in a historical period; Determining the parameters of the target tag within the interval range of the target tag; Based on the parameters, a line loss threshold of the substation within a sub-historical period is determined from at least one candidate line loss data of the substation, wherein the historical period includes the sub-historical period, the candidate line loss data is used to represent the line loss data excluding abnormal line loss data in the line loss data within the historical period, the line loss data is used to represent the loss amount of the electric energy in the substation, and the line loss threshold is used to represent the transmission rate of the electric energy in the substation.

2. The method according to claim 1, characterized in that Determining the parameters of the target tag within the interval of the target tag includes: Determining the parameter from at least one candidate parameter of the target tag within the interval of the target tag; In response to the parameter not matching the type of the station area, adjusting the interval range according to the type; The parameter is determined within the adjusted interval.

3. The method according to claim 2, characterized in that Determining the parameter within the adjusted interval includes: updating the at least one candidate parameter within the adjusted interval; The parameter is determined from the at least one updated candidate parameter.

4. The method according to claim 1, characterized in that: Based on the parameter, determining a line loss threshold of the station area in a sub-historical period from at least one candidate line loss data of the station area includes: Determining the number of samples of the station area that meet the parameters; According to the sample quantity, determining, from the at least one candidate line loss data, candidate line loss data that meets the parameter as target candidate line loss data; The line loss threshold is determined based on the target candidate line loss data.

5. The method according to claim 4, characterized in that Determining the line loss threshold based on the target candidate line loss data includes: Sorting the target candidate line loss data; The data located in the middle position of the sorted target candidate line loss data is determined as the line loss threshold.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: Classifying the attributes to obtain classification results; According to the association relationship between the classification result and the label, the label corresponding to the classification result is determined.

7. A line loss determination device for a substation, characterized in that: include: A first determining unit is used to determine a target tag from at least one tag of the substation, wherein the tag is used to represent an attribute of the substation in the process of consuming electric energy in a historical period; A second determining unit, configured to determine a parameter of the target tag within a range of the target tag; A third determination unit is used to determine, based on the parameters, a line loss threshold of the substation within a sub-historical period from at least one candidate line loss data of the substation, wherein the historical period includes the sub-historical period, the candidate line loss data is used to represent the line loss data excluding abnormal line loss data in the line loss data within the historical period, the line loss data is used to represent the loss amount of the electric energy in the substation, and the line loss threshold is used to represent the transmission rate of the electric energy in the substation.

8. A processor, characterized in that: The processor is used to run a program, wherein the program, when run by the processor, executes the line loss determination method for the substation described in any one of claims 1 to 6.

9. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein the program, when running, executes the line loss determination method for the substation described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is executed, the device where the storage medium is located is controlled to execute the line loss determination method for the substation described in any one of claims 1 to 6.

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