Distribution area line loss analysis application scene evaluation method, system and equipment
By acquiring topological power data in low-voltage distribution networks, calculating line loss rates, and measuring equipment line losses, the problem of digital sensing of electrical energy data and calculation of line losses in low-voltage distribution networks has been solved, thus achieving greater accuracy in power grid status monitoring and electricity management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-27
- Publication Date
- 2026-03-31
AI Technical Summary
The lack of effective digital sensing of electrical energy data and line loss calculation methods in low-voltage distribution networks leads to unreasonable line loss management, affecting the accuracy of power grid status monitoring and electricity consumption management.
By acquiring power data of the topology of distribution substations under different application scenarios, calculating line loss rate and identifying abnormal line loss events, measuring equipment line loss using a line loss simulation device, and calculating line loss rate error using a standard energy meter, line loss analysis of each device is achieved.
It improves the accuracy and discriminative power of line loss analysis, enabling the identification of components with excessive losses in the power grid, ensuring the authenticity and accuracy of line loss calculations, and supporting the optimized operation of the power grid.
Smart Images
Figure CN121762953A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of power equipment testing technology, specifically to an evaluation method, system, and equipment for application scenarios of distribution substation line loss analysis. Background Technology
[0003] The main reason for the increasingly severe power loss situation is the unreasonable management of line loss, such as: (1) Non-standard power management and metering. The non-standard assembly of electrical equipment will lead to inaccurate power metering and statistics; the uninterrupted long-term operation of equipment will lead to its failure, resulting in a reduction in the normal service life. These problems require technicians to maintain or update the equipment. However, this process is usually cumbersome and slow, resulting in the inability to record power data for a long time, which will lead to a decrease in data accuracy and a deviation in the calculation of subsequent power grid power consumption indicators. In addition, in the process of manual management, due to the subjectivity and technical differences of the staff, the power management will be non-standard, resulting in deviations in power data. (2) Insulation damage, phase-to-phase / to-ground leakage, resulting in abnormal line loss. (3) Differences in construction will affect line loss. On the one hand, in the construction of the power grid, due to the differences in the construction technology and professional quality of the staff, the construction of the entire line will be affected, resulting in different power grid line losses. On the other hand, due to the vast size of the power grid's line system, if designers are not familiar with the entire transmission system and cannot make overall plans, they will not be able to make detailed layouts during the power grid transmission line process, resulting in a mismatch between the design of the transmission lines and the actual situation. These will all lead to a mismatch between the power supply radius and the distribution network, resulting in increased line losses. (4) Some users engage in electricity theft. In the power distribution links of the power grid, in order to ensure that there is no excessive loss of power in each link, the power grid will reserve some space in these links. However, this also leaves an opportunity for some users to steal electricity. If this problem is not discovered and stopped in time, it will lead to serious impact on the power loss of the transmission lines in the long run.
[0004] Therefore, simultaneous line loss calculation is of great significance for understanding the power grid status, identifying potential hazards, and optimizing operational indicators. While mature technical solutions and implementations exist for the main grid and medium-voltage distribution networks, certain blind spots remain in the low-voltage distribution network, which mainly relies on manual calculations. Therefore, how to achieve digital sensing of electrical energy data and line loss calculation at each node of the low-voltage distribution network is a pressing issue that needs to be addressed. Summary of the Invention
[0005] To address the challenge of how existing technologies can achieve digital sensing of electrical energy data and calculation of line losses at various nodes in low-voltage distribution networks, this application proposes an evaluation method for distribution substation line loss analysis application scenarios, including:
[0006] In different application scenarios, the power data of each monitoring node is obtained according to the topology of the distribution radio area;
[0007] The line loss rate of the distribution substation is calculated based on the power data of each monitoring node in the topology, and abnormal line loss events are identified.
[0008] Based on the aforementioned abnormal line loss event, a line loss simulation device is used to detect the line loss of each device, or to detect the electrical energy data of each device, and the line loss of each device is calculated based on the electrical energy data.
[0009] The line loss rate calculation error of each device is obtained by comparing the line loss of each device with that of a standard electricity meter.
[0010] Preferably, in the monitoring nodes, the parent monitoring node is connected to the child monitoring node via a feeder or branch line.
[0011] Preferably, the line loss rate of the distribution transformer area is calculated in the following way:
[0012] Acquire power data from each monitoring node;
[0013] The line loss rate is calculated as a percentage of the difference between the power increment of the parent monitoring node and the power increment of all child monitoring nodes under the parent monitoring node, and then compared with the power increment of the parent monitoring node.
[0014] Preferably, the power increment of the parent monitoring node is the difference between the most recent freeze amount of the parent monitoring node and the most recent previous freeze amount of the parent monitoring node.
[0015] Preferably, the power increment of all child monitoring nodes under the parent monitoring node is the difference between the sum of the most recent freeze amounts of all child monitoring nodes under the parent monitoring node and the sum of the most recent previous freeze amounts of all child monitoring nodes under the parent monitoring node.
[0016] Preferably, the calculation of the line loss rate of each device based on the line loss of each device and the line loss of a standard energy meter, to obtain the line loss rate calculation error of each device, includes:
[0017] The line loss rate calculation error for each device is obtained by calculating the percentage of line loss between each device and the standard energy meter.
[0018] Preferably, the application scenarios include: segmented, phase-based, time-based, and zone-based line loss analysis.
[0019] Preferably, the line loss rate of the distribution transformer area includes: transformer area line loss rate, feeder line loss rate, and branch line line loss rate.
[0020] Based on the same concept, this application also proposes an evaluation system for distribution transformer substation line loss analysis application scenarios, including:
[0021] The data acquisition module is used to acquire the power data of each monitoring node according to the topology of the distribution radio area in different application scenarios;
[0022] The line loss anomaly determination module is used to calculate the line loss rate of the distribution substation and determine the line loss anomaly event based on the power data of each monitoring node in the topology.
[0023] The line loss reading module is used to detect the line loss of each device using a line loss simulation device based on the line loss anomaly event, or to detect the power energy data of each device, and to calculate the line loss of each device based on the power energy data.
[0024] The line loss rate calculation error module is used to calculate the line loss rate calculation error of each device based on the line loss of each device and the line loss of the standard energy meter.
[0025] Preferably, in the monitoring nodes of the data acquisition module, the parent monitoring node is connected to the child monitoring node via a feeder or branch line.
[0026] Preferably, the line loss rate of the distribution substation in the line loss anomaly determination module is calculated in the following way:
[0027] Acquire power data from each monitoring node;
[0028] The line loss rate is calculated as a percentage of the difference between the power increment of the parent monitoring node and the power increment of all child monitoring nodes under the parent monitoring node, and then compared with the power increment of the parent monitoring node.
[0029] Preferably, the power increment of the parent monitoring node is the difference between the most recent freeze amount of the parent monitoring node and the most recent previous freeze amount of the parent monitoring node.
[0030] Preferably, the power increment of all child monitoring nodes under the parent monitoring node is the difference between the sum of the most recent freeze amounts of all child monitoring nodes under the parent monitoring node and the sum of the most recent previous freeze amounts of all child monitoring nodes under the parent monitoring node.
[0031] Preferably, the line loss rate calculation error module is specifically used for:
[0032] The line loss rate calculation error for each device is obtained by calculating the percentage of line loss between each device and the standard energy meter.
[0033] Preferably, the application scenarios in the data acquisition module include: segmented, phase-based, time-based, and zone-based line loss analysis.
[0034] Preferably, the line loss rate of the distribution area in the line loss anomaly determination module includes: the distribution area line loss rate, the feeder line loss rate, and the branch line line loss rate.
[0035] Furthermore, this application also provides a computing device, comprising: at least one processor and a memory;
[0036] The memory is used to store one or more programs;
[0037] When the one or more programs are executed by the at least one processor, a method for evaluating the application scenario of distribution substation line loss analysis as described above is implemented.
[0038] Furthermore, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements the above-described method for evaluating application scenarios of distribution substation line loss analysis.
[0039] Compared with the prior art, the beneficial effects of this application are as follows:
[0040] A method, system, and device for evaluating application scenarios of distribution transformer substation line loss analysis include: acquiring power data of each monitoring node according to the topology of the distribution transformer substation under different application scenarios; calculating the line loss rate of the distribution transformer substation and identifying abnormal line loss events based on the power data of each monitoring node in the topology; using a line loss simulation device to detect the line loss of each device or to detect the power energy data of each device based on the abnormal line loss events, and calculating the line loss of each device based on the power energy data; calculating the line loss rate calculation error of each device based on the line loss of each device and the line loss of a standard energy meter. This application can significantly improve the accuracy and discriminative power of line loss analysis by acquiring power energy data in multiple scenarios; this application can realize the digital perception of power energy data of each node by calculating the line loss rate, and can also identify components with excessive losses; the calculated line loss rate calculation error can be used to assess whether the actual line loss is real and determine the degree of unknown loss. Attached Figure Description
[0041] Figure 1 This is a flowchart of an application scenario evaluation method for distribution station line loss analysis according to this application;
[0042] Figure 2 This is the segmented line loss analysis test topology diagram for this application;
[0043] Figure 3 This is a flowchart illustrating the specific process of line loss analysis and testing in this application.
[0044] Figure 4 This is the topology diagram for calculating line loss in this application;
[0045] Figure 5 This is a flowchart of the bus loss calculation method of Method 1 of this application;
[0046] Figure 6 This is a flowchart of the bus loss calculation for Method 2 of this application;
[0047] Figure 7 This is a flowchart of the segmented line loss calculation for Method 2 of this application;
[0048] Figure 8 This is a structural diagram of an application scenario evaluation system for distribution station line loss analysis according to this application;
[0049] Figure 9 This is a structural diagram of an electronic device according to this application. Detailed Implementation
[0050] This application proposes an evaluation method for the application scenario of distribution substation line loss analysis, which can realize the digital perception of electrical energy data and line loss calculation of each node in the low-voltage distribution network, and help to understand the grid status, discover potential hidden dangers, and optimize operating indicators. In order to better understand this application, the content of this application will be further explained below with reference to the accompanying drawings and embodiments.
[0051] Example 1:
[0052] A method for evaluating application scenarios of distribution radio station line loss analysis, the specific process of which is as follows: Figure 1 As shown, it includes:
[0053] Step 1: Obtain the power data of each monitoring node according to the topology of the distribution radio area under different application scenarios;
[0054] Step 2: Calculate the line loss rate of the distribution substation based on the power data of each monitoring node in the topology and identify abnormal line loss events.
[0055] Step 3: Based on the abnormal line loss event, use the line loss simulation device to detect the line loss of each device, or detect the power energy data of each device, and calculate the line loss of each device based on the power energy data;
[0056] Step 4: Calculate the line loss of each device and the line loss of the standard energy meter to obtain the line loss rate calculation error of each device.
[0057] Step 1, obtaining the power data of each monitoring node according to the topology of the distribution transformer area under different application scenarios, specifically includes:
[0058] Line loss is calculated by acquiring power data from each monitoring node based on different application scenarios;
[0059] Application scenarios are specifically divided into four types: segmented, phase-based, time-based, and zone-based. Each scenario can be further divided into three cases: light load, heavy load, and no load. Segmented line loss calculation is performed as follows... Figure 2 As shown.
[0060] Step 2 involves calculating the line loss rate of the distribution substation based on the power data of each monitoring node in the topology and identifying abnormal line loss events. Specifically, this includes:
[0061] Line loss, as a comprehensive economic indicator, is typically determined by factors such as operating mode, voltage level, and power factor. Furthermore, line loss calculation is highly beneficial for fully understanding the active and reactive power losses of various components within a transformer substation. By clarifying the rate and state of power loss, it also facilitates the identification of problems during substation operation. Theoretical line loss calculations can identify components with excessive losses and their causes; they can assess whether actual line losses are accurate and reasonable, determine the difference between the actual and theoretical line loss rates, as well as assess the extent of unknown losses and reduce them.
[0062] In the monitoring nodes, the parent monitoring node is connected to the child monitoring node through a feeder or branch line.
[0063] Line loss rate = ((Power increment of parent monitoring node - Power increment of all child monitoring nodes under parent monitoring node) / Power increment of parent monitoring node) * 100%.
[0064] The power increment of the parent monitoring node = the most recent freeze amount of the parent monitoring node - the most recent freeze amount of the parent monitoring node.
[0065] The power increment of all child monitoring nodes under the parent monitoring node = the most recent freeze amount of all child monitoring nodes under the parent monitoring node - the most recent previous freeze amount of all child monitoring nodes under the parent monitoring node.
[0066] Based on the network topology of the distribution area and the hourly and daily power consumption data of each monitoring node, the daily and hourly line loss rates of the distribution area are calculated, as well as the daily and hourly line loss rates of feeders and branch lines. Line loss anomaly events are generated according to the line loss rates of the distribution area, feeder, and branch.
[0067] Step 3, which involves using a line loss simulation device to detect the line loss of each device or to detect the electrical energy data of each device based on the line loss anomaly event, and calculating the line loss of each device based on the electrical energy data, specifically includes:
[0068] The line loss simulation device controls abnormal line loss input, calculates the standard line loss rate by measuring the electrical energy of a standard energy meter, then measures the line loss data of the device under test to calculate the line loss of the device under test, and compares the line loss rate calculation error to achieve the line loss testing function. The specific flowchart is as follows: Figure 3As shown. After the reset operation, the following steps are performed sequentially: reset check, power-on, power-on self-test, device connection, main call, and time synchronization. The system checks for any abnormalities. If an abnormality is found, the operation is terminated due to an environmental anomaly; otherwise, it proceeds to the initialization operation. The system then performs an initialization self-test and output check, again verifying for any abnormalities. If an abnormality is found, the operation is terminated due to an environmental anomaly; otherwise, it proceeds to the load activation operation. Finally, the system performs a load self-test, load deactivation, deactivation self-test, line loss activation, delay waiting, and line loss recall. The system checks for any abnormalities in the load self-test, deactivation self-test, and line loss recall. If no abnormalities are found, line loss calculation is performed; otherwise, it determines whether to ignore the abnormality. If yes, line loss calculation is performed; otherwise, the operation is terminated due to non-compliance.
[0069] There are two ways to measure line loss: one is to have the equipment directly provide line loss data; the other is to have the equipment provide electrical energy data and calculate the line loss based on the electrical energy.
[0070] Method 1: Line loss is calculated and analyzed based on the topology diagram.
[0071] After communicating with the equipment provider, the equipment will periodically generate line loss data between itself and its sub-levels at intervals such as 15 minutes, 1 hour, 1 day, and 1 minute. The property management team will use an XXL-job timer to perform the periodic retrieval operation. The retrieved data is the segmented line loss data.
[0072] Bus loss is calculated by summing up the line loss data of all devices in the topology diagram.
[0073] As shown in the topology diagram Figure 4 In the diagram, devices A, B, and C can provide line loss data. Since D is the last stage, D does not have line loss data.
[0074] The line loss data provided by device A is the line loss between A and B.
[0075] Device B provides the line loss data for the distance between B and C. Device C provides the line loss data for the distance between C and D. Therefore, the total line loss is the sum of the line losses provided by devices A, B, and C. The total line loss calculation process is as follows: Figure 5 As shown. Obtain information on all devices in the topology diagram; determine whether line loss data for each device has been obtained; if not, the process ends; otherwise, aggregate the retrieved line loss data and determine whether the retrieved line loss data matches the device data; if they do not match, the operation ends; otherwise, sum all the data.
[0076] Method 2: Line loss is calculated based on electrical energy. Taking antenna loss as an example:
[0077] Bus loss is the electrical energy of the top-level device minus the electrical energy of all the bottom-level devices. The bus loss calculation process is as follows: Figure 6As shown. The process involves: acquiring information about the top-level and bottom-level devices; determining whether the current day's and yesterday's energy data for each device has been retrieved; ending the operation if not retrieved; otherwise, aggregating the retrieved energy data and determining whether the retrieved data matches the device data; ending the operation if they do not match; otherwise, calculating line loss based on (current day's energy of the top-level device - yesterday's energy of the top-level device) - (current day's energy of the bottom-level device - yesterday's energy of the bottom-level device).
[0078] Segmented line loss is the current equipment's electrical energy minus the electrical energy of the first-level sub-equipment. The segmented line loss calculation process is as follows: Figure 7 As shown. The process involves: acquiring information about the current device and sub-level 1 devices; determining whether the current day's and yesterday's energy data for each device has been retrieved; if not, ending the operation; otherwise, aggregating the retrieved energy data and determining whether the retrieved data matches the device data; if they do not match, ending the operation; otherwise, calculating line loss based on (current device's current day's energy - current device's yesterday's energy) - (sub-level 1 device's current day's energy - sub-level 1 device's yesterday's energy).
[0079] Step 4 involves calculating the line loss rate calculation error for each device based on the line loss of each device and the line loss of a standard energy meter. This calculation specifically includes:
[0080] The line loss rate of each device is calculated as a percentage of the line loss of a standard energy meter, and the calculation error is obtained as follows:
[0081] H = D / P * 100%
[0082] In the formula, H is the calculation error of the line loss rate; D is the line loss of the tested equipment; and P is the line loss of the standard energy meter.
[0083] The line loss analysis and testing method proposed in this embodiment is based on multiple scenarios and can realize the line loss analysis of the transformer area based on the meter measurement data, as well as the calculation of the line loss of the transformer area by zone, segment, time and phase, covering the smart circuit breaker node. It greatly improves the accuracy and resolution of line loss analysis and strongly supports the economic evaluation of the operation of the transformer area and the technical loss reduction work.
[0084] The line loss evaluation index proposed in this embodiment—the line loss rate—can be used to identify components in the transformer area that suffer excessive losses and their causes by calculating the line loss rate; it can also be used to assess whether the actual line loss is real and reasonable, determine the degree of unknown losses, and reduce unknown losses.
[0085] This embodiment is applicable to users, including power companies, to conduct functional tests on the selected or purchased intelligent fusion terminal equipment before implementing the transformer area line loss calculation project. It focuses on setting up scenarios such as transformer area heavy load test cases and transformer area light load test cases to evaluate its line loss calculation capability. It is also suitable for equipment manufacturers to conduct functional tests and evaluations on the equipment during the equipment development process.
[0086] Example 2:
[0087] A distribution station area line loss analysis application scenario evaluation system, the structure of which is as follows: Figure 8 As shown, it includes:
[0088] The data acquisition module is used to acquire the power data of each monitoring node according to the topology of the distribution radio area in different application scenarios;
[0089] The line loss anomaly determination module is used to calculate the line loss rate of the distribution substation and determine the line loss anomaly event based on the power data of each monitoring node in the topology.
[0090] The line loss reading module is used to detect the line loss of each device using a line loss simulation device based on the line loss anomaly event, or to detect the power energy data of each device, and to calculate the line loss of each device based on the power energy data.
[0091] The line loss rate calculation error module is used to calculate the line loss rate calculation error of each device based on the line loss of each device and the line loss of the standard energy meter.
[0092] In the monitoring nodes of the data acquisition module, the parent monitoring node is connected to the child monitoring node through a feeder or branch line.
[0093] The line loss rate of the distribution substation in the line loss anomaly determination module is calculated in the following way:
[0094] Acquire power data from each monitoring node;
[0095] The line loss rate is calculated as a percentage of the difference between the power increment of the parent monitoring node and the power increment of all child monitoring nodes under the parent monitoring node, and then compared with the power increment of the parent monitoring node.
[0096] The power increment of the parent monitoring node is the difference between the most recent freeze amount of the parent monitoring node and the most recent previous freeze amount of the parent monitoring node.
[0097] The power increment of all child monitoring nodes under the parent monitoring node is the difference between the sum of the most recent freeze amount of all child monitoring nodes under the parent monitoring node and the sum of the most recent previous freeze amount of all child monitoring nodes under the parent monitoring node.
[0098] The line loss rate calculation error module is specifically used for:
[0099] The line loss rate calculation error for each device is obtained by calculating the percentage of line loss between each device and the standard energy meter.
[0100] Application scenarios in the data acquisition module include: segmented, phase-based, time-based, and zone-based line loss analysis.
[0101] The line loss rate of the distribution area in the line loss anomaly determination module includes: the area line loss rate, the feeder line loss rate, and the branch line line loss rate.
[0102] Example 3:
[0103] like Figure 9 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.
[0104] The processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the distribution substation line loss analysis application scenario evaluation method in the above embodiments.
[0105] Example 4
[0106] Based on the same inventive concept, this invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the storage medium here can include both built-in storage media within the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Loading and executing one or more instructions stored in the storage medium by the processor can implement the steps of the distribution station line loss analysis application scenario evaluation method in the above embodiments.
[0107] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0108] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0109] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0110] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0111] The above are merely embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application shall be included within the scope of the claims of this application pending approval.
Claims
1. A power distribution area line loss analysis application scenario evaluation method, characterized in that, The application relates to a line loss rate calculation method and device for a power distribution area. In different application scenarios, the power data of each monitoring node is acquired according to the topological structure of the power distribution area; Based on the power data of each monitoring node in the topological structure, the line loss rate of the power distribution area is calculated, and a line loss abnormal event is determined; Based on the line loss abnormal event, the line loss of each device is called by using a line loss simulation device, or the electric energy data of each device is called, and the line loss of each device is calculated based on the electric energy data; Based on the line loss of each device and the line loss of a standard electric energy meter, the line loss rate calculation error of each device is calculated.
2. The method of claim 1, wherein, In the monitoring nodes, the parent monitoring node is connected with the child monitoring node through a feeder or a branch line.
3. The method of claim 2, wherein, The line loss rate of the power distribution area is calculated in the following manner: The power data of each monitoring node is acquired; The line loss rate is calculated by performing percentage calculation on the power increment of the parent monitoring node and the difference between the power increment of all child monitoring nodes under the parent monitoring node.
4. The method of claim 3, wherein, The power increment of the parent monitoring node is the difference between the latest frozen amount of the parent monitoring node and the last frozen amount of the parent monitoring node.
5. The method of claim 3, wherein, The power increment of all child monitoring nodes under the parent monitoring node is the difference between the sum of the latest frozen amounts of all child monitoring nodes under the parent monitoring node and the sum of the last frozen amounts of all child monitoring nodes under the parent monitoring node.
6. The method of claim 1, wherein, The line loss rate calculation error of each device is calculated based on the line loss of each device and the line loss of a standard electric energy meter. The line loss rate calculation error of each device is calculated by performing percentage calculation on the line loss of each device and the line loss of a standard electric energy meter.
7. The method of claim 1, wherein, The application scenarios include segment, phase, time and area line loss analysis.
8. The method of claim 1, wherein, The line loss rate of the power distribution area includes the area line loss rate, the feeder line loss rate and the branch line loss rate.
9. A power distribution district line loss analysis application scenario evaluation system, characterized in that, The application relates to a line loss rate calculation method and device for a power distribution area. In different application scenarios, the power data of each monitoring node is acquired according to the topological structure of the power distribution area; Based on the power data of each monitoring node in the topological structure, the line loss rate of the power distribution area is calculated, and a line loss abnormal event is determined; Based on the line loss abnormal event, the line loss of each device is called by using a line loss simulation device, or the electric energy data of each device is called, and the line loss of each device is calculated based on the electric energy data; Based on the line loss of each device and the line loss of a standard electric energy meter, the line loss rate calculation error of each device is calculated.
10. The system of claim 9, wherein, In the monitoring nodes, the parent monitoring node is connected with the child monitoring node through a feeder or a branch line.
11. The system of claim 9, wherein, The line loss rate of the power distribution area is calculated in the following manner: The power data of each monitoring node is acquired; The line loss rate is calculated by performing percentage calculation on the power increment of the parent monitoring node and the difference between the power increment of all child monitoring nodes under the parent monitoring node.
12. The system of claim 11, wherein, The power increment of the parent monitoring node is the difference between the latest frozen amount of the parent monitoring node and the last frozen amount of the parent monitoring node. The power increment of all child monitoring nodes under the parent monitoring node is the difference between the sum of the latest frozen amounts of all child monitoring nodes under the parent monitoring node and the sum of the last frozen amounts of all child monitoring nodes under the parent monitoring node. The line loss rate calculation error of each device is calculated based on the line loss of each device and the line loss of a standard electric energy meter. The line loss rate calculation error of each device is calculated by performing percentage calculation on the line loss of each device and the line loss of a standard electric energy meter. The application scenarios include segment, phase, time and area line loss analysis. The line loss rate of the power distribution area includes the area line loss rate, the feeder line loss rate and the branch line loss rate.
13. The system of claim 11, wherein, The power increment of all child monitoring nodes under the parent monitoring node is the difference between the sum of the latest frozen amounts of all child monitoring nodes under the parent monitoring node and the sum of the last frozen amounts of all child monitoring nodes under the parent monitoring node.
14. The system of claim 9, wherein, The line loss rate calculation error module is specifically configured to: The line loss rate calculation error of each device is obtained by performing percentage calculation on the line loss of each device and the line loss of the standard electric energy meter.
15. The system of claim 9, wherein, The application scenarios in the data acquisition module include segment, phase, time, and zone for line loss analysis.
16. The system of claim 9, wherein, The line loss rate of the distribution area in the line loss anomaly determination module includes the line loss rate of the area, the line loss rate of the feeder, and the line loss rate of the branch line.
17. A computer device, comprising: It comprises: At least one processor and a memory; The memory is configured to store one or more programs; When the one or more programs are executed by the at least one processor, a distribution area line loss analysis application scenario evaluation method according to any one of claims 1 to 8 is implemented.
18. A computer-readable storage medium, characterized in that, The computer program is stored thereon, and when the computer program is executed, a distribution area line loss analysis application scenario evaluation method according to any one of claims 1 to 8 is implemented.