Line loss anomaly analysis method and device, storage medium and equipment

Abstract

The invention provides a line loss anomaly analysis method and device, a storage medium and equipment, the line loss anomaly analysis method is applied to a feeder line or a transformer area of a power grid, and comprises the following steps: obtaining a monthly line loss rate and a daily line loss state of the feeder line or the transformer area; according to the monthly line loss rate and the daily line loss state, checking at least one of the power grid data and the connection relation of the power grid line; and determining an abnormal reason of the current power grid line according to a checking result. According to the monthly line loss rate and the daily line loss state reflected by the feeder line or the transformer area, the power grid data or the connection relation of the power grid line is analyzed according to different strategies, the specific reason of the line loss abnormity is determined, adjustment can be carried out in time, and lean management of the line loss is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid monitoring, and in particular to a line loss abnormality analysis method, device, storage medium and equipment. Background Art

[0002] With the continuous acceleration of urban construction, the scale of low-voltage distribution networks is becoming increasingly large, the network line architecture is becoming more and more complex, there are a large number of old substations, and with the access of new energy sources, line changes and low-voltage emergency repairs are frequent to ensure power supply, and the line loss problems of low-voltage distribution feeders or substations are gradually exposed. Among them, line loss is an important comprehensive technical indicator for feedback on the operation of the distribution network. It is one of the main signs and means to comprehensively measure the management level of power companies, and can directly reflect the power supply company's power grid planning and construction, operation and maintenance, production technology and business management level. Improper line loss management of low-voltage distribution feeders or substations will not only affect the production and operation benefits of power supply companies, but also cause waste of electric energy resources. Therefore, reducing the line loss rate has become an effective way for power supply companies to reduce production costs, improve economic benefits, and save energy and reduce emissions.

[0003] At present, line loss analysis is mainly carried out manually, which requires the participation of multiple professionals. In addition, the low-voltage distribution network structure and customer nature are complex, and it depends on hardware facilities and personnel professional quality. Due to the inconsistent line loss qualification markings of different analysts, the line loss analysis results are inaccurate and unable to show specific line loss problems. This is not conducive to timely adaptive transformation of line loss analysis and power consumption analysis, and to improving the lean management of feeder and substation line losses. Summary of the invention

[0004] Based on this, the present invention provides a line loss abnormality analysis method, device, storage medium and equipment, which analyzes the grid data or connection relationship of the power grid line according to different strategies according to the monthly line loss rate and daily line loss status reflected by the feeder or substation, determines the specific cause of the line loss abnormality, and can make timely adjustments to improve the lean management of line losses.

[0005] In a first aspect, the present invention provides a line loss anomaly analysis method, which is applied to a power grid feeder or a substation, and is characterized in that the method comprises:

[0006] Obtain the monthly line loss rate and daily line loss status of the feeder or substation;

[0007] Verifying at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status;

[0008] The cause of the abnormality of the current power grid line is determined according to the verification result.

[0009] The monthly line loss rate includes a positive monthly line loss rate, a negative monthly line loss rate, a monthly line loss rate of 9999 and a monthly line loss rate of 100;

[0010] The daily line loss status includes normal daily line loss and abnormal daily line loss.

[0011] Furthermore, when the monthly line loss rate is positive and the daily line loss status is normal, check whether the electricity data on the electricity sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there is cross-month processing of the work order, whether there is any missed reading of zero-degree users on the power grid line, whether the electricity data on the power supply side is abnormal, and whether the multiple change of the daily line loss is abnormal;

[0012] Or, when the monthly line loss rate is positive and the daily line loss status is abnormal, check whether the electricity data on the electricity sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the data of the equipment center, whether there is pressure loss or current loss in the metering equipment, whether there are any missed readings for zero-degree users on the power grid line, whether the electricity data on the power supply side is abnormal, whether the daily line loss multiplier change is abnormal, and the time node of the power grid line abnormality.

[0013] Furthermore, when the monthly line loss rate is negative and the daily line loss status is normal, check whether the grid data on the power supply side of the power grid line is abnormal, whether there is a loss of pressure or current in the gateway meter, whether the multiplier change of the gateway meter is abnormal, whether the grid data on the power sales side is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there is cross-month processing of the work order, and whether there is any electricity to be compensated or agreed upon line loss;

[0014] Or, when the monthly line loss rate is negative and the daily line loss status is abnormal, check whether the grid data on the power supply side of the power grid line is abnormal, whether there is pressure loss or current loss in the gateway meter, whether the multiplier change of the gateway meter is abnormal, whether the grid data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, and whether the grid data multiplier on the power sales side is abnormal.

[0015] Furthermore, when the monthly line loss rate is 9999 and the daily line loss status is normal, check whether the power data on the power supply side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there are any missed readings of zero-degree users on the power grid line, whether the power data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, and whether the line connection relationship of the equipment center is consistent with the actual line connection relationship;

[0016] Or, when the monthly line loss rate is 9999 and the daily line loss status is abnormal, check whether the grid data on the power supply side of the power grid line is abnormal, whether the user information of the marketing system is consistent with the actual user information, whether the grid data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, and whether the line connection relationship of the equipment center is consistent with the actual line connection relationship.

[0017] Further, when the monthly line loss rate is 100 and the daily line loss status is normal, check whether the grid data on the electricity sales side of the grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether the user information of the marketing system is complete, whether the handover data of the handover sheet is consistent with the actual handover information, and whether there are any missed readings of zero-degree users on the grid line;

[0018] Or, when the monthly line loss rate is 100 and the daily line loss status is abnormal, check whether the grid data on the power sales side of the power grid line is abnormal, whether the equipment parameters of the equipment center are consistent with the actual equipment parameters, whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, whether the line change information of the marketing system is consistent with the actual line change information, whether the transfer data of the transfer form is consistent with the actual transfer information, and whether the power transfer information of the power grid line is accurate.

[0019] Furthermore, the abnormalities in the connection relationship verification of the power grid are as follows:

[0020] If the line loss of the current power grid line is abnormal, the current power grid line is combined with the adjacent power grid line for calculation. If the line loss of the combined power grid line is normal, the line-to-line relationship of the current power grid line is not correctly triggered.

[0021] In a second aspect, the present invention further provides a line loss anomaly analysis device, the line loss anomaly analysis device is applied to a power grid feeder or a substation, and the device comprises:

[0022] A line loss information acquisition module, used to obtain the monthly line loss rate and daily line loss status of the feeder or substation;

[0023] A power grid line information verification module, used to verify the power grid data and connection relationship of the power grid line according to the monthly line loss rate and daily line loss status;

[0024] The power grid line abnormality judgment module is used to determine the abnormal cause of the current power grid line according to the verification result.

[0025] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of any one of the line loss anomaly analysis methods in the first aspect.

[0026] In a fourth aspect, the present invention further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it executes any one of the line loss anomaly analysis methods in the first aspect.

[0027] The beneficial effects of adopting the above technical solution are as follows: the present invention analyzes at least one of the grid data and connection relationships in the grid line according to different strategies based on the monthly line loss rate and daily line loss status reflected by the feeder or substation, conducts multi-dimensional line loss abnormality analysis, determines the specific cause of the line loss abnormality, and improves the standardized analysis of line loss abnormality and the efficiency of intelligent analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0029] Figure 1 This is a schematic diagram of a line loss abnormality analysis method in one embodiment of the present application;

[0030] Figure 2 This is a schematic diagram of a line loss anomaly analysis context diagram in one embodiment of the present application;

[0031] Figure 3 This is a flow chart of the cross-month verification of work orders in one embodiment of the present application;

[0032] Figure 4 This is a schematic diagram of a line loss abnormality analysis device in one embodiment of the present application;

[0033] Figure 5 This is a schematic diagram of a guide for abnormal analysis of feeder line loss in one embodiment of the present application;

[0034] Figure 6 This is a schematic diagram of the guidance for abnormal line loss analysis in a substation area in one embodiment of the present application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In order to explain the present invention in more detail, the line loss abnormality analysis method, device, storage medium and equipment provided by the present invention are specifically described below in combination with the drawings.

[0036] With the continuous acceleration of urban construction, the scale of low-voltage distribution networks is becoming increasingly large, the network line architecture is becoming more and more complex, there are a large number of old substations, and with the access of new energy sources, line changes and low-voltage emergency repairs are frequent to ensure power supply, and the line loss problems of low-voltage distribution feeders or substations are gradually exposed. Among them, line loss is an important comprehensive technical indicator for feedback on the operation of the distribution network. It is one of the main signs and means to comprehensively measure the management level of power companies, and can directly reflect the power supply company's power grid planning and construction, operation and maintenance, production technology and business management level. Improper line loss management of low-voltage distribution feeders or substations will not only affect the production and operation benefits of power supply companies, but also cause waste of electric energy resources. Therefore, reducing the line loss rate has become an effective way for power supply companies to reduce production costs, improve economic benefits, and save energy and reduce emissions.

[0037] In this regard, the present invention provides a line loss abnormality analysis method. According to the monthly line loss rate and daily line loss status reflected by the feeder or substation, the grid data or connection relationship of the grid line is analyzed according to different strategies to determine the specific cause of the line loss abnormality, so that timely adjustments can be made to improve the lean management of line loss. This method is applied to terminal equipment as an example for explanation. Figure 1 A schematic diagram of a line loss abnormality analysis method is shown.

[0038] The embodiment of the present application provides an application scenario of the line loss abnormality analysis method, and the application scenario includes the terminal device provided in the embodiment, and the terminal device includes but is not limited to a smart phone and a computer device, wherein the computer device can be at least one of a desktop computer, a portable computer, a laptop computer, a mainframe computer, a tablet computer, etc. The user operates the terminal device to obtain the cause of the line loss abnormality. For the specific process, please refer to the embodiment of the line loss abnormality analysis method.

[0039] Step S101, obtaining the monthly line loss rate and daily line loss status of the feeder or substation.

[0040] Among them, line loss refers to the loss generated during the online transmission, distribution and marketing of electric energy, and is a core economic and technical indicator for assessing the comprehensive strength of power grid operating companies. The calculation of the line loss rate is: ((power supply-power sales) / low-voltage power supply) × 100%. Under normal operating conditions, since the impedance of each component in the power grid has a loss effect on electric energy, theoretically, line loss cannot be avoided and the line loss rate is always positive. However, in reality, due to errors in metering equipment collection and poor information management in low-voltage areas, some distribution lines may experience negative line losses during the statistical period, where the metered power supply is less than the power sales. Since the negative line loss rate does not conform to the theoretical line loss characteristics, and the negative line loss rate phenomenon is characterized by continuity, complexity and diversity, the staff needs to check the operation of the on-site equipment point by point, check the work records, and investigate possible problems.

[0041] In the power system, a feeder refers to a branch connected to any distribution network, which can be an input branch or an output branch. Since the typical topology of the distribution network is radial, the energy flow in most feeders is unidirectional. In this embodiment, the branch in the distribution network can be called a feeder. A substation is used to describe a small area in the power grid structure, including at least one power supply transformer and the power facilities therein. In large cities, a substation usually covers a community or an interception. The substation and distribution equipment under the substation can distribute power appropriately to the users therein, so that electricity can be used efficiently and accurately.

[0042] In this embodiment, the monthly line loss rate of the feeder or substation is calculated by the following formula: monthly line loss rate = ((average monthly power supply - average monthly power sales) / average monthly power supply of the low-voltage substation) × 100%. The monthly line loss rate includes a positive monthly line loss rate, a negative monthly line loss rate, a monthly line loss rate of 9999, and a monthly line loss rate of 100.

[0043] The daily line loss status includes normal daily line loss and abnormal daily line loss. The daily line loss status is determined by comparing the daily line loss rate with the set threshold. When the daily line loss rate is greater than the set threshold, it is an abnormal daily line loss state; when the daily line loss rate is less than or equal to the set threshold, it is a normal daily line loss state.

[0044] Step S102: verify at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status.

[0045] Among them, different strategies are selected according to the monthly line loss rate and daily line loss status to check at least one of the grid data and connection relationship of the grid line, see Appendix Figure 2 The line loss abnormality analysis context diagram shown is as follows:

[0046] 1. The monthly line loss rate is positive

[0047] (1) When the monthly line loss rate is positive and the daily line loss status is normal, it is a transitional abnormality. That is to say, in the operation of the power system, there may be temporary line loss abnormalities due to factors such as load changes and operation mode adjustments. In response to this situation, we mainly focus on some information such as load changes and operation mode adjustments, and make timely adjustments and optimizations. Specifically, we check whether the power data on the power sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there is cross-month processing of the work order, whether there are any missed readings of zero-degree users on the power grid line, whether the power data on the power supply side is abnormal, and whether the daily line loss multiple change is abnormal.

[0048] Among them, when the monthly line loss rate is positive and the daily line loss status is normal, it is possible to perform a check again to see whether there is any cross-month processing of the work order before determining the abnormal cause of the current power grid line to ensure that all work orders have been processed in a timely manner without omissions or errors.

[0049] (2) When the monthly line loss rate is positive and the daily line loss status is abnormal, it is a non-transitional abnormal situation and its cause needs to be analyzed in depth. It may involve equipment failure, metering error, electricity theft, etc. It is necessary to check the relevant equipment and lines, specifically: check whether the power data on the power sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the data of the equipment center, whether there is pressure loss or current loss in the metering equipment, whether there is any missed reading of zero-degree users on the power grid line, whether the power data on the power supply side is abnormal, whether the daily line loss multiplier change is abnormal, and the time node of the power grid line abnormality.

[0050] (II) The monthly line loss rate is negative

[0051] (1) When the monthly line loss rate is negative and the daily line loss status is normal, it is a transitional abnormality. That is to say, in the operation of the power system, there may be temporary line loss abnormalities due to factors such as load changes and operation mode adjustments. In response to this situation, it is necessary to pay attention to some information such as load changes and operation mode adjustments, and make timely adjustments and optimizations. Specifically, check whether the grid data on the power supply side of the power grid line is abnormal, whether there is pressure loss or current loss in the gateway meter, whether the multiplier change of the gateway meter is abnormal, whether the grid data on the power sales side is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there is cross-month processing of the work order, and whether there is any electricity to be compensated or agreed on line loss.

[0052] (2) When the monthly line loss rate is negative and the daily line loss status is abnormal, it is a non-transitional abnormal situation and its cause needs to be analyzed in depth. It may involve equipment failure, metering error, electricity theft, etc. It is necessary to check the relevant equipment and lines, specifically: check whether the grid data on the power supply side of the power grid line is abnormal, whether there is pressure loss or current loss in the gateway meter, whether the multiplier change of the gateway meter is abnormal, whether the grid data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, and whether the grid data multiplier on the power sales side is abnormal.

[0053] (III) The monthly line loss rate is 9999

[0054] When the monthly line loss rate is 9999, it means that the monthly line loss rate is abnormally high and close to infinity.

[0055] (1) When the monthly line loss rate is 9999 and the daily line loss status is normal, it is a transitional abnormality. That is to say, in the operation of the power system, there may be temporary line loss abnormalities due to factors such as load changes and operation mode adjustments. In response to this situation, we mainly focus on some information such as load changes and operation mode adjustments, and make timely adjustments and optimizations. Specifically, we check whether the power data on the power supply side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there are any missed readings of zero-degree users on the power grid line, whether the power data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, and whether the line connection relationship of the equipment center is consistent with the actual line connection relationship.

[0056] (2) When the monthly line loss rate is 9999 and the daily line loss status is abnormal, it is a non-transitional abnormal situation and its cause needs to be analyzed in depth. It may involve equipment failure, metering error, electricity theft, etc. It is necessary to check the relevant equipment and lines, specifically: check whether the grid data on the power supply side of the power grid line is abnormal, whether the user information of the marketing system is consistent with the actual user information, whether the grid data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, and whether the line connection relationship of the equipment center is consistent with the actual line connection relationship.

[0057] (IV) The case where the monthly line loss rate is 100

[0058] (1) When the monthly line loss rate is 100 and the daily line loss status is normal, it is a transitional abnormality. That is to say, in the operation of the power system, there may be temporary line loss abnormalities due to factors such as load changes and operation mode adjustments. In response to this situation, we mainly focus on some information such as load changes and operation mode adjustments, and make timely adjustments and optimizations. Specifically, we check whether the grid data on the power sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether the user information of the marketing system is complete, whether the handover data of the handover form is consistent with the actual handover information, and whether there are any missed readings of zero-degree users on the power grid line.

[0059] (2) When the monthly line loss rate is 100% and the daily line loss status is abnormal, it is a non-transitional abnormal situation and its cause needs to be analyzed in depth. It may involve equipment failure, metering error, electricity theft, etc. It is necessary to check the relevant equipment and lines, specifically: check whether the grid data on the electricity sales side of the grid line is abnormal, whether the equipment parameters of the equipment center are consistent with the actual equipment parameters, whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, whether the line change information of the marketing system is consistent with the actual line change information, whether the transfer data of the transfer form is consistent with the actual transfer information, and whether the power transfer information of the grid line is accurate.

[0060] Among them, the above-mentioned verification of whether the power data on the power sales side of the power grid line is abnormal includes verifying whether the power and electricity fee data on the power sales side of the power grid line are abnormal. Verify whether there is cross-month processing of work orders, including verifying whether there is a situation where the work orders of last month are completed this month, resulting in inaccurate statistical data. Figure 3 The work order cross-month verification flow chart is shown. Check whether there are any omissions in zero-degree users on the power grid line, including checking whether there are any omissions in zero-degree users on the power grid line, especially for public transformer users, special transformer users and low-voltage users. Check whether the power data on the power supply side is abnormal, including checking whether the power generation and power purchase data on the power supply side are abnormal to ensure the accuracy of the data. Check whether the multiple change of daily line loss is abnormal, including comparing the multiples between the daily line loss at the beginning of the month and the daily line loss at the end of the month. If there is a multiple change, it needs to be verified. Check whether there is a loss of pressure or current in the metering equipment, including checking whether the metering equipment data is inaccurate due to the loss of pressure or current. Check the time node of the abnormality of the power grid line, including checking the time node of the abnormality of the power grid line in combination with historical data and real-time monitoring data to determine the situation of the abnormality of the power grid line. Check whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, including checking whether the capacity increase and relocation of the line in the equipment center are consistent with the capacity increase and relocation of the actual line. Check whether the power grid data multiplier on the power sales side is abnormal, including checking the multiplier on the power sales side to determine whether there is a change in the multiplier or an error. Check whether the transfer data on the transfer form is consistent with the actual transfer data, including checking whether the trigger conditions and trigger time of the transfer form are consistent with the actual transfer trigger conditions and trigger time. Check whether the power transfer information of the power grid line is accurate, including checking whether the power transfer time and power transfer amount of the power grid line are accurate.

[0061] In addition, the connection relationship of the power grid is checked abnormally. Specifically, if the line loss of the current power grid line is abnormal, the current power grid line is combined with the adjacent power grid line for calculation. If the line loss of the combined power grid line is normal, the line-transformation relationship of the current power grid line is not correctly triggered.

[0062] Step S103, determining the abnormal cause of the current power grid line according to the verification result.

[0063] The embodiment of the present invention divides the monthly line loss rate and daily line loss status reflected by the feeder or substation into different combinations, sets different power grid line verification strategies, analyzes at least one of the power grid data and connection relationships in the power grid line according to different strategies, and conducts line loss abnormality analysis from multiple dimensions, which not only standardizes the steps of line loss abnormality analysis, but also improves the efficiency of staff in line loss abnormality analysis of power grid lines.

[0064] To better understand the above scheme, take the monthly line loss rate of a certain feeder in August 2022 as 100% and the daily line loss abnormality as an example: check whether the power grid data on the electricity sales side is abnormal. When there is no user information during the verification and it is a new feeder, the cause of the abnormality is locked in the connection relationship of the power grid to check the abnormality. After merging with the adjacent lines, the line loss is normal. The locked abnormality is that the line-transformation relationship is not triggered correctly. Therefore, the cause of the feeder abnormality is the new feeder and the line-transformation relationship is not triggered normally.

[0065] It should be understood that although the Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Figure 1 At least part of the steps may include multiple sub-steps or sub-stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0066] The above embodiments of the present invention describe in detail the line loss abnormality analysis method. The above method disclosed in the present invention can be implemented by using various devices. Therefore, the present invention also discloses a line loss abnormality analysis device corresponding to the above method. Figure 4 , specific embodiments are given below to explain in detail.

[0067] The line loss information acquisition module 201 is used to obtain the monthly line loss rate and daily line loss status of the feeder or substation.

[0068] The power grid line information checking module 202 is used to check the power grid data and connection relationship of the power grid line according to the monthly line loss rate and the daily line loss status.

[0069] The power grid line abnormality judgment module 203 is used to determine the abnormality cause of the current power grid line according to the verification result.

[0070] For the line loss abnormality analysis device, all the definitions of the method can be found above, and no further details will be given here. Each module in the above device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above modules can be embedded in or independent of the processor of the terminal device in the form of hardware, or can be stored in the memory of the terminal device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0071] In one embodiment, the present invention further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned line loss abnormality analysis method are implemented.

[0072] The computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM (erasable programmable read-only memory), a hard disk or a ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium has a storage space for program codes for executing any method step of the above method. These program codes may be read from or written into one or more computer program products, and the program codes may be compressed in an appropriate form.

[0073] In one embodiment, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the above-mentioned line loss abnormality analysis method when executing the computer program.

[0074] The computer device includes a memory, a processor, and one or more computer programs, wherein the one or more computer programs can be stored in the memory and configured to be executed by one or more processors, and the one or more application programs are configured to execute the above-mentioned line loss abnormality analysis method.

[0075] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect the various parts of the entire computer device, and executes various functions of the computer device and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory. Optionally, the processor can 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), and programmable logic array (Programmable Logic Array, PLA). The processor can integrate one or more combinations of a central processing unit (Central Processing Unit, CPU), a reporting verifier (Graphics Processing Unit, GPU) for buried data, and a modem. Among them, the CPU mainly processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing display content; and the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor, but may be implemented separately through a communication chip.

[0076] The memory may include a random access memory (RAM) or a read-only memory (ROM). The memory may be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. The data storage area may also store data created by the terminal device during use, etc.

[0077] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A line loss anomaly analysis method, the line loss anomaly analysis method is applied to a power grid feeder or a substation, characterized in that: The method comprises: Obtain the monthly line loss rate and daily line loss status of the feeder or substation; Verifying at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status; The cause of the abnormality of the current power grid line is determined according to the verification result.

2. The line loss abnormality analysis method according to claim 1, characterized in that: The monthly line loss rate includes a positive monthly line loss rate, a negative monthly line loss rate, a monthly line loss rate of 9999 and a monthly line loss rate of 100; The daily line loss status includes normal daily line loss and abnormal daily line loss.

3. The line loss abnormality analysis method according to claim 2, characterized in that: The checking of at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status is specifically as follows: When the monthly line loss rate is positive and the daily line loss status is normal, check whether the electricity data on the electricity sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there is cross-month processing of the work order, whether there is any missed reading of zero-degree users on the power grid line, whether the electricity data on the power supply side is abnormal, and whether the multiple change of the daily line loss is abnormal; Or, when the monthly line loss rate is positive and the daily line loss status is abnormal, check whether the electricity data on the electricity sales side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the data of the equipment center, whether there is pressure loss or current loss in the metering equipment, whether there are any missed readings for zero-degree users on the power grid line, whether the electricity data on the power supply side is abnormal, whether the daily line loss multiplier change is abnormal, and the time node of the power grid line abnormality.

4. The line loss abnormality analysis method according to claim 2, characterized in that: The checking of at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status is specifically as follows: When the monthly line loss rate is negative and the daily line loss status is normal, check whether the grid data on the power supply side of the power grid line is abnormal, whether there is pressure loss or current loss in the gateway meter, whether the multiplier change of the gateway meter is abnormal, whether the grid data on the power sales side is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there is cross-month processing of the work order, and whether there is any electricity to be compensated or agreed line loss; Or, when the monthly line loss rate is negative and the daily line loss status is abnormal, check whether the grid data on the power supply side of the power grid line is abnormal, whether there is pressure loss or current loss in the gateway meter, whether the multiplier change of the gateway meter is abnormal, whether the grid data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, and whether the grid data multiplier on the power sales side is abnormal.

5. The line loss abnormality analysis method according to claim 2, characterized in that: The checking of at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status is specifically as follows: When the monthly line loss rate is 9999 and the daily line loss status is normal, check whether the power data on the power supply side of the power grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether there are any missed readings of zero-degree users on the power grid line, whether the power data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, and whether the line connection relationship of the equipment center is consistent with the actual line connection relationship; Or, when the monthly line loss rate is 9999 and the daily line loss status is abnormal, check whether the grid data on the power supply side of the power grid line is abnormal, whether the user information of the marketing system is consistent with the actual user information, whether the grid data on the power sales side is abnormal, whether the line change information of the marketing system is consistent with the actual line change information, and whether the line connection relationship of the equipment center is consistent with the actual line connection relationship.

6. The line loss abnormality analysis method according to claim 2, characterized in that: The checking of at least one of the grid data and the connection relationship of the grid line according to the monthly line loss rate and the daily line loss status is specifically as follows: When the monthly line loss rate is 100 and the daily line loss status is normal, check whether the grid data on the electricity sales side of the grid line is abnormal, whether the meter reading data of the marketing system is consistent with the actual metering data, whether the user information of the marketing system is complete, whether the handover data of the handover form is consistent with the actual handover information, and whether there are any missed zero-degree users on the grid line; Or, when the monthly line loss rate is 100 and the daily line loss status is abnormal, check whether the grid data on the power sales side of the power grid line is abnormal, whether the equipment parameters of the equipment center are consistent with the actual equipment parameters, whether the line connection relationship of the equipment center is consistent with the actual line connection relationship, whether the line change information of the marketing system is consistent with the actual line change information, whether the transfer data of the transfer form is consistent with the actual transfer information, and whether the power transfer information of the power grid line is accurate.

7. The line loss abnormality analysis method according to any one of claims 3 to 6, characterized in that: The specific abnormalities in the connection relationship verification of the power grid are: If the line loss of the current power grid line is abnormal, the current power grid line is combined with the adjacent power grid line for calculation. If the line loss of the combined power grid line is normal, the line-to-line relationship of the current power grid line is not correctly triggered.

8. A line loss anomaly analysis device, the line loss anomaly analysis device is applied to a power grid feeder or a substation, characterized in that: The device comprises: A line loss information acquisition module, used to obtain the monthly line loss rate and daily line loss status of the feeder or substation; A power grid line information verification module, used to verify the power grid data and connection relationship of the power grid line according to the monthly line loss rate and daily line loss status; The power grid line abnormality judgment module is used to determine the abnormal cause of the current power grid line according to the verification result.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the line loss abnormality analysis method according to any one of claims 1 to 7 are implemented.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it performs any one of the line loss abnormality analysis methods in claims 1-7.

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