Power distribution terminal line loss function abnormity diagnosis and treatment method based on power distribution master station screening
By constructing automated anomaly detection logic and on-site power verification at the distribution master station, the problem of missing automated terminal data in 10kV distribution network line loss management was solved, enabling accurate terminal screening and diagnosis, and improving management and governance efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-03-27
AI Technical Summary
In the current 10kV distribution network line loss management, the lack of power data from automated terminal equipment leads to incomplete line loss analysis. There is a lack of a systematic and automated anomaly screening mechanism, and reliance on manual experience results in low investigation efficiency, high false negative rate, and difficulty in distinguishing between equipment failures and external soft problems, leading to blind governance efforts.
An automated anomaly detection logic based on the power distribution master station is constructed. Initial screening is performed using mathematical criteria such as constant zero power value, constant non-zero power value, and abnormal jumps. Combined with on-site power verification, a closed-loop management system of automatic screening, precise verification, and targeted rectification is formed.
It has enabled accurate screening and diagnosis by automated terminals, improved the automation level and governance efficiency of line loss management, and increased the accuracy of investigation and rectification efficiency.
Smart Images
Figure CN121741306A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of power distribution network line loss management technology, specifically relating to a method for diagnosing and managing abnormal line loss functions of power distribution terminals based on screening by the power distribution master station. Background Technology
[0002] Currently, there are gaps in the management of line losses in 10kV distribution networks. Electrical data from automated terminal equipment on 10kV lines is frequently lost due to communication interruptions or storage failures, resulting in an incomplete and unreliable foundation for line loss analysis. Existing technologies lack a systematic and automated anomaly screening mechanism. The identification of abnormal terminals relies heavily on the personal experience of maintenance personnel for manual judgment, which is highly subjective and lacks unified quantitative standards, leading to low efficiency and a high rate of missed diagnoses. This further results in the generalization of on-site inspection targets and an enormous workload. Simultaneously, due to the lack of precise, data-driven guidance and functional integrity evaluation standards, on-site personnel struggle to effectively distinguish between hardware failures and external soft issues such as configuration errors and communication interference, leading to aimless remediation efforts. Summary of the Invention
[0003] The purpose of this invention is to address the aforementioned technical challenges by providing a method for diagnosing and managing abnormal line loss functions in distribution terminals based on distribution station screening. This method constructs an automated anomaly judgment logic (including three mathematical criteria: constant zero power value, constant non-zero value, and abnormal jumps) to achieve accurate initial screening and list generation of abnormal terminals at the distribution station. Subsequently, the screening results are combined with on-site power verification to form a highly efficient closed-loop management system of "automatic screening - accurate verification - targeted rectification." This method represents a fundamental shift from relying on manual experience to relying on data and algorithms, aiming to comprehensively improve the automation level, accuracy, and efficiency of line loss management.
[0004] To achieve the above objectives, the technical solution of this invention is: a method for diagnosing and managing abnormal line loss functions of distribution terminals based on distribution master station screening, comprising three stages: master station screening, on-site investigation, and on-site modification; wherein,
[0005] The main station screening process involves analyzing historical power data for trends and identifying abnormal patterns through the distribution main station system, filtering out terminals with abnormal line loss functions, and generating a negative list.
[0006] On-site inspection: On-site maintenance personnel conduct on-site inspections of terminals based on the negative list and obtain the inspection results;
[0007] On-site renovations were carried out, and differentiated renovation strategies were implemented based on the investigation results.
[0008] Furthermore, the historical power consumption data consists of the power consumption data of all distribution automation terminal equipment in the investigation area for the past month. The data granularity is the positive active energy value and reverse active energy value frozen at midnight every day by the line loss module.
[0009] Furthermore, historical power consumption data needs to be cleaned before trend analysis and anomaly pattern identification. Terminals with empty or severely missing historical power consumption data due to non-equipment factors, such as communication anomalies or failure of main station acquisition, should be labeled and removed. These terminals should be classified as data acquisition anomaly terminals and given priority for on-site verification.
[0010] Furthermore, the distribution master station system performs trend analysis and anomaly pattern identification on historical power data. Specifically, the distribution master station system identifies anomalies and classifies curves based on the characteristics of historical power data. Anomaly types are divided into three categories: power value is always zero, power value is always a non-zero fixed value, and abnormal sudden change. If the data characteristics do not meet the three types of defects, the data is judged to be normal and the terminal line loss metering function is normal. If the data characteristics meet one of the three types of defects, a negative list of terminals with abnormal line loss function is generated.
[0011] Furthermore, during the on-site inspection process, based on the negative list of the terminal, targeted on-site inspections were conducted according to different types of defects to obtain inspection results.
[0012] Furthermore, during the on-site modification process, based on the investigation results, differentiated modification strategies were formulated for different types of terminals, modules with abnormal functions were upgraded or replaced, energy metering elements with excessive metering deviations were calibrated, and incorrect configuration parameters were cleaned up.
[0013] Furthermore, after the on-site modification is completed, the integrity of the line loss metering function is verified, detailed historical energy data stored internally in the terminal is exported, and the consistency and rationality of the data between the on-site site and the main station are checked; specifically including:
[0014] Check whether the frozen values of positive and negative active power have changed before and after 15 minutes; calculate the active power over 15 minutes based on the on-site load and compare it with the change in the frozen value; finally, verify the power values with the main station to see if they are consistent.
[0015] If the changes in the daily frozen forward and reverse active energy values over the past half month are not observed, and no abnormal sudden changes occur, the line loss function is deemed to be in good working order.
[0016] Furthermore, a power verification method is used to verify the integrity of the line loss metering function.
[0017] Furthermore, terminals that pass the line loss metering function integrity verification are removed from the negative list, and the on-site verification situation and processing results are recorded. At the same time, the status identifier of the corresponding terminal is updated to "line loss function normal" in the distribution master station system, realizing dynamic management and closed-loop processing of the negative list. After this step, only terminals that need to be upgraded or have other difficult problems remain in the negative list, providing a clear basis for subsequent accurate upgrade work and optimization of resource allocation.
[0018] The present invention also provides a computer-readable storage medium having stored thereon computer program instructions executable by a processor, wherein when the processor executes the computer program instructions, it can implement the steps of any of the methods described above.
[0019] Compared with the prior art, the present invention has the following beneficial effects:
[0020] 1) Construct a line loss functional diagnosis system that integrates the main station and field operations. The main station system enables the initial screening of abnormal terminals, followed by on-site functional verification, forming a closed-loop management system of "screening-verification-rectification". Develop targeted modification plans based on terminal type (FTU / DTU) to improve rectification efficiency and equipment compatibility, significantly enhancing the efficiency and accuracy of troubleshooting.
[0021] 2) Introduce an electrical energy trend analysis model and an anomaly pattern recognition mechanism, propose multiple anomaly judgment modes (constant zero, constant value, jump), and establish a mathematical model to realize the automatic identification and classification of abnormal terminals.
[0022] 3) Combine the power estimation formula to conduct on-site functional verification, calculate the active power using the 15-minute energy difference, and compare it with the main station data to ensure the scientific and reliable nature of the functional integrity judgment. Attached Figure Description
[0023] Figure 1 This is a flowchart illustrating the overall implementation of an embodiment of the present invention;
[0024] Figure 2 This is a schematic diagram of the defect classification screening on the main station of this invention. Detailed Implementation
[0025] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings.
[0026] This invention provides a method for diagnosing and managing abnormal line loss functions in distribution terminals based on distribution master station screening, comprising three stages: master station screening, on-site investigation, and on-site modification; wherein,
[0027] The main station screening process involves analyzing historical power data for trends and identifying abnormal patterns through the distribution main station system, filtering out terminals with abnormal line loss functions, and generating a negative list.
[0028] On-site inspection: On-site maintenance personnel conduct on-site inspections of terminals based on the negative list and obtain the inspection results;
[0029] On-site renovations were carried out, and differentiated renovation strategies were implemented based on the investigation results.
[0030] The following is a detailed implementation process of the present invention.
[0031] like Figure 1 , 2 As shown, the present invention
[0032] A method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening, comprising the following steps;
[0033] Step S1: The distribution master station system extracts the electricity consumption data for the past month from all distribution automation terminal equipment within the investigation area. The data granularity is the forward and reverse active energy values frozen daily at midnight by the line loss module. The electricity consumption data sent by the terminals is cleaned, and terminals with empty or severely missing historical electricity consumption data due to non-equipment factors such as communication abnormalities or master station acquisition failures are marked and removed. These terminals are listed as having data acquisition anomalies and are given priority for on-site verification.
[0034] Step S2: The distribution master station identifies anomalies and classifies curves based on the characteristics of the terminal power consumption data. Anomalies are categorized into three types: power consumption value is always zero, power consumption value is always a non-zero set value, and abnormal sudden changes. If the data characteristics do not meet the above three types of defects, the data is considered normal, and the terminal line loss metering function is normal.
[0035] Step S3: Generate a negative list of automated terminals with abnormal line loss function, organize maintenance personnel to go to the site according to the negative list, and conduct targeted investigations according to different types of defects.
[0036] Step S4: Based on the on-site inspection results, formulate differentiated transformation strategies for different types of terminals, upgrade or replace modules with abnormal functions, calibrate energy metering components with excessive metering deviations, and thoroughly clean up incorrect configuration parameters.
[0037] Step S5: Verify the integrity of the line loss metering function of the automated terminal after on-site modification, export the detailed electrical energy history file stored in the terminal, and verify the consistency and rationality of the data between the site and the main station.
[0038] Step S51: Check whether the frozen values of forward and reverse active power have changed before and after 15 minutes. Calculate the active power over 15 minutes based on the on-site load and compare it with the change in the frozen value. Finally, verify the power values with the main station to ensure they are consistent.
[0039] Step S52: Check the changes in the daily frozen forward and reverse active energy values over the past half month. If there are no cases where the energy value is always zero, always non-zero, or abnormally sudden, then the line loss function is determined to be intact (refer to the normal / abnormal switch change curve).
[0040] Step S6: Remove the automated terminals that pass the functional integrity verification from the negative list and record the on-site verification situation and processing results. Simultaneously, update the terminal's status identifier to "Line Loss Function Normal" in the main station system, achieving dynamic management and closed-loop processing of the negative list. After this step, the list only contains terminals that genuinely require modification or have other complex issues, providing a clear basis for subsequent precise modification work and optimized resource allocation.
[0041] In step S1, the distribution automation terminal equipment includes FTU (feeder terminal unit) and DTU (distribution terminal unit).
[0042] In step S1, the line loss module is built into the FTU / DTU housing. The voltage and current signals of the electromagnetic transformer are connected to the line loss module via terminals, and the analog small signals from the voltage / current sensor are connected to the line loss module via terminals. It has functions such as metering, energy metering verification, communication, and data storage. The power data collected by the line loss module is stored in the terminal and forwarded to the distribution master station.
[0043] In step S2, for an automated terminal on a normally operating power line, its energy reading is the integral of power over time. As long as there is load current or power output, the power is not zero, and theoretically, the energy value should change monotonically and non-decreasingly with time. A normal energy data curve should be a smooth, non-decreasing step-like curve. Based on this, the criteria for identifying terminals with abnormal energy data are as follows:
[0044] (1) Normal power level
[0045] The positive active energy value increases daily; the reverse active energy value remains constant when there is no distributed power source, and shows an increasing trend when there is a distributed power source supplying power in reverse or when the tie switch switches switch power; the monthly energy curve changes smoothly, showing a smooth, non-decreasing step curve, without abnormal jumps.
[0046] (2) Abnormal power supply
[0047] a) Energy value is always zero: If the daily frozen forward and reverse active energy values are consistently zero, it indicates that the terminal metering circuit or power supply may be completely failed, making energy accumulation impossible. This data loss will directly lead to a huge deviation in line loss calculation. The judgment formula is as follows:
[0048] (1)
[0049] In the formula, E Forward (t), EReverse (t) represents the frozen positive and negative active energy values on day t, and T1 and T2 represent the initial and final values for the selected month, respectively.
[0050] b) Constant Non-zero Energy Value: The daily frozen energy value remains a fixed non-zero constant. This indicates that the terminal's energy accumulation function is "frozen," possibly due to software crashes, memory failures, or the communication cache reusing old data. This terminal cannot reflect the actual power consumption of the line. The determination formula is as follows:
[0051] (2)
[0052] In the formula, C1 and C2 are non-zero constants.
[0053] c) Abnormal fluctuations in power values: Daily frozen power values may jump to zero, decrease in the opposite direction, or exhibit repeated fluctuations. This is usually related to communication interference, equipment restarts, program errors, or momentary power outages, resulting in poor data quality and unreliability. The determination formula is as follows:
[0054] (3)
[0055] In the formula, E(t) is the frozen active energy value on day t, including the positive and negative active energy values.
[0056] In step S3, for terminals with a constant power value of 0, it is initially determined that the power metering function is malfunctioning. On-site investigation focuses on whether the terminal has lost power, is falsely online, has secondary circuits of line loss equipment, and whether the terminal parameter configuration is incorrect. For terminals with a constant power value, it is initially determined that the power metering function is frozen. The investigation focuses on whether the terminal software, memory, or communication cache is abnormal. For terminals with abnormal power value fluctuations, it is initially determined that there is communication interference or incorrect terminal parameters. The investigation focuses on whether the equipment power supply, communication stability, and program version are abnormal.
[0057] The present invention also provides a computer-readable storage medium having stored thereon computer program instructions executable by a processor, wherein when the processor executes the computer program instructions, it can implement the steps of any of the methods described above.
[0058] The above are preferred embodiments of the present invention. Any changes made to the technical solution of the present invention that do not exceed the scope of the technical solution of the present invention shall fall within the protection scope of the present invention.
Claims
1. A method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening, characterized in that, It includes three stages: main site selection, on-site inspection, and on-site renovation; among which, The main station screening process involves analyzing historical power data for trends and identifying abnormal patterns through the distribution main station system, filtering out terminals with abnormal line loss functions, and generating a negative list. On-site inspection: On-site maintenance personnel conduct on-site inspections of terminals based on the negative list and obtain the inspection results; On-site renovations were carried out, and differentiated renovation strategies were implemented based on the investigation results.
2. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 1, characterized in that, Historical power consumption data consists of power consumption data for all distribution automation terminal equipment in the investigation area for the past month. The data granularity is the positive active energy value and reverse active energy value frozen at midnight every day by the line loss module.
3. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 1, characterized in that, Before conducting trend analysis and anomaly pattern identification, historical power consumption data needs to be cleaned. Terminals with empty or severely missing historical power consumption data due to non-equipment factors, such as communication anomalies or failure of main station acquisition, should be labeled and removed. These terminals should be classified as data acquisition anomaly terminals and given priority for on-site verification.
4. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 1, characterized in that, The distribution master station system performs trend analysis and anomaly pattern identification on historical power data. Specifically, the distribution master station system identifies anomalies and classifies curves based on the characteristics of historical power data. Anomaly types are divided into three categories: power value is always zero, power value is always a non-zero fixed value, and abnormal sudden change. If the data characteristics do not meet the three types of defects, the data is judged to be normal and the terminal line loss metering function is normal. If the data characteristics meet one of the three types of defects, a negative list of terminals with abnormal line loss function is generated.
5. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 4, characterized in that, During the on-site inspection process, based on the negative list of the terminal, targeted on-site inspections were conducted according to different types of defects to obtain the inspection results.
6. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 4, characterized in that, During the on-site renovation process, based on the investigation results, differentiated renovation strategies were formulated for different types of terminals. Modules with abnormal functions were upgraded or replaced, energy metering elements with excessive metering deviations were calibrated, and incorrect configuration parameters were cleaned up.
7. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 1, characterized in that, After the on-site modification is completed, the integrity of the line loss metering function is verified, detailed historical energy data stored in the terminal is exported, and the consistency and rationality of the data between the site and the main station are checked; specifically including: Check whether the frozen values of positive and negative active power have changed before and after 15 minutes; calculate the active power over 15 minutes based on the on-site load and compare it with the change in the frozen value; finally, verify the power values with the main station to see if they are consistent. If the changes in the daily frozen forward and reverse active energy values over the past half month are not observed, and no abnormal sudden changes occur, the line loss function is deemed to be in good working order.
8. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 7, characterized in that, The integrity of the line loss metering function is verified using a power verification method.
9. The method for diagnosing and managing abnormal line loss function of distribution terminals based on distribution master station screening according to claim 7, characterized in that, Terminals that pass the line loss metering function integrity verification are removed from the negative list, and the on-site verification situation and processing results are recorded; at the same time, the status identifier of the corresponding terminal is updated to "line loss function normal" in the distribution master station system, so as to realize the dynamic management and closed-loop processing of the negative list. After this step, the negative list only includes terminals that genuinely require modification or have other problematic issues, providing a clear basis for subsequent precise modification work and optimized resource allocation.
10. A computer-readable storage medium having stored thereon computer program instructions executable by a processor, wherein when the processor executes the computer program instructions, it is able to implement the steps of the method as described in any one of claims 1-9.