Dynamic monitoring and analyzing system for line loss of equipment in line station area

Abstract

The invention discloses a line area equipment line loss dynamic monitoring and analysis system, which comprises a data acquisition module, a data transmission module, an analysis and diagnosis module and a user interaction interface, and is characterized in that line loss monitoring nodes are distributed at a plurality of key positions, and a high-precision sensor module is arranged, so that line electric energy data can be comprehensively and accurately acquired. And a double-path filtering unit, a high-impedance amplification unit, a differential noise suppression unit and an analog-to-digital conversion unit in the signal conditioning circuit work cooperatively to filter, amplify, denoise and convert data, so that high-frequency noise and interference are effectively removed, and the data acquisition quality is improved. In the aspect of data processing and analysis, the three-phase unbalanced line loss calculation model is used for accurately calculating the line loss, anomaly detection is carried out in combination with an isolated forest algorithm, and the line loss anomaly condition can be quickly and accurately recognized. Dynamic monitoring, accurate analysis and diagnosis and timely early warning of the line loss are realized, the stability and safety of a power system are greatly improved, and energy waste is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power monitoring, and in particular to a line loss dynamic monitoring and analysis system for line substation equipment. Background Art

[0002] In power systems, line substation equipment is a crucial component of the grid, and its operational status directly impacts the stability and security of the entire network. However, in actual operation, due to various reasons (such as equipment aging, unbalanced loads, and external environmental factors), line substation equipment often suffers from line loss. This not only wastes energy but can also cause equipment failures and even impact the normal operation of the grid.

[0003] From a technical perspective, early line-loss monitoring systems mostly used simple metering devices with limited functionality. These devices could only measure basic electrical parameters, such as voltage and current, and lacked the ability to deeply process and analyze data. With the development of intelligent power systems, while some regions have begun to introduce some automated monitoring equipment, existing monitoring systems still have functional deficiencies. While some systems can automatically collect and transmit data, their processing and analysis lack accuracy and comprehensiveness. For example, when processing complex power signals, they are unable to effectively remove noise and interference, resulting in low-quality collected data and, in turn, affecting the accuracy of line-loss calculations. When analyzing the causes of abnormal line losses, the lack of effective algorithms and models makes it difficult to quickly and accurately identify the root cause of the problem, hindering the provision of targeted solutions for power operations and maintenance personnel.

[0004] The patent with publication number CN101714234B discloses a power grid line loss monitoring and analysis system, which uses data from the power automation system to conduct real-time monitoring and analysis of power grid line losses. The system includes a data acquisition server, a database, and an application server. The data from the power automation system is connected to the data acquisition server via an FTP server and a data access interface. The data acquisition server includes a data acquisition module and a line loss calculation module. The database includes an EMS data table module, a TMR data table module, a meteorological data table module, and a line loss table module. The application server includes a basic data management module, an actual line loss analysis module, a theoretical line loss analysis module, a line loss comparison analysis module, a line loss statistical report module, a system configuration module, a user management module, and a wiring diagram navigation module. However, the patented technical solution mainly realizes the statistical calculation and analysis of line losses, and does not provide corresponding technical solutions for the problems of data analysis and signal processing.

[0005] Therefore, in order to solve the above problems, the present invention proposes a line loss dynamic monitoring and analysis system for line substation equipment, which aims to achieve dynamic line loss monitoring, accurate analysis and diagnosis, and timely early warning. Summary of the Invention

[0006] The present invention proposes a dynamic monitoring and analysis system for line loss of line substation equipment, which solves the problem in the prior art of lacking effective algorithms and models when analyzing the causes of abnormal line loss, making it difficult to quickly and accurately locate the root cause of the problem.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0008] The line loss dynamic monitoring and analysis system for line substation equipment includes:

[0009] a data acquisition module configured as a sensor module installed at the line loss monitoring node for measuring line power data;

[0010] The data acquisition module further includes a signal conditioning circuit configured to filter, amplify and perform analog-to-digital conversion on the line power data;

[0011] A data transmission module, used for transmitting the digital signal processed by the data acquisition module to the analysis and diagnosis module;

[0012] The analysis and diagnosis module is used to analyze and diagnose the received power data, calculate the line loss of the line substation, and identify the cause of abnormal line loss;

[0013] The user interaction interface is used to display the real-time operating status of line substation equipment, line loss data, early warning and alarm information.

[0014] Furthermore, the signal conditioning circuit includes:

[0015] Dual-channel filtering unit performs low-pass filtering on line power data to remove high-frequency noise and interference in the signal;

[0016] a high-impedance amplifying unit configured as a first isolation amplifier AR1 and a second isolation amplifier AR2 having high input impedance, wherein the first isolation amplifier AR1 and the second isolation amplifier AR2 are respectively used to amplify the two output signals of the dual-path filtering unit;

[0017] a differential noise suppression unit configured to differentially amplify the output signals of the first isolation amplifier AR1 and the second isolation amplifier AR2, and simultaneously perform shaping filtering and temperature drift elimination processing;

[0018] The analog-to-digital conversion unit is configured to perform analog-to-digital conversion on the analog signal output by the differential noise suppression unit to generate a digital signal.

[0019] Furthermore, the dual-path filtering unit includes two first filtering circuits and a second filtering circuit with the same structure;

[0020] The first filtering circuit includes a resistor R1, an inductor L1, a capacitor C1 and a capacitor C2. One end of the resistor R1, the inductor L1 and the capacitor C1 are connected to the signal output end of the sensor module, the other ends of the resistor R1 and the inductor L1 and one end of the capacitor C2 are connected to the non-inverting input end of the first isolation amplifier AR1, and the other ends of the capacitor C1 and the capacitor C2 are grounded.

[0021] Furthermore, the first isolation amplifier AR1 and the second isolation amplifier AR2 are both AMC1302 chips.

[0022] Furthermore, the differential noise suppression unit includes an op amp AR3, and a shaping component is provided at the in-phase feedback end of the op amp AR3, and the shaping component includes a capacitor C5, a diode D1 and a resistor R5. One end of the capacitor C5 and the anode of the diode D1 are connected to the output end of the first isolation amplifier AR1 through a resistor R4, and the inverting input end of the op amp AR3 is connected to the output end of the second isolation amplifier AR2 and one end of the capacitor C6 through a resistor R6. The other end of the capacitor C6 is connected to the output end of the op amp AR3 through a resistor R7, and the output end of the op amp AR3 is connected to the analog-to-digital conversion unit.

[0023] Furthermore, the differential noise suppression unit also includes a temperature drift elimination component, which includes a thermistor RT1 and a field effect transistor Q1. One end of the thermistor RT1 is connected to one end of the capacitor C6, and the other end of the thermistor RT1 is connected to the drain of the field effect transistor Q1. The gate and source of the field effect transistor Q1 are grounded.

[0024] Furthermore, the analog-to-digital conversion unit uses the ADCS8182 chip.

[0025] Furthermore, the data transmission module uses a LoRa wireless communication unit.

[0026] Furthermore, the analysis and diagnosis module analyzes and diagnoses the received power data, specifically including the following steps:

[0027] Clean, filter, denoise and normalize the received data signal;

[0028] Based on the processed data, the line loss calculation model of three-phase unbalanced line loss is used to calculate the line loss;

[0029] The isolation forest algorithm is used to detect anomalies in line loss data. Historical line loss data is used as a training set. When the anomaly score of real-time line loss data exceeds 0.8, it is considered an anomaly.

[0030] When the analysis and diagnosis module performs abnormal analysis and diagnosis, if the three-phase current imbalance exceeds 0.2, it further analyzes the three-phase load distribution and gives suggestions for adjusting the load distribution;

[0031] The results of the line loss monitoring analysis are presented to the user through the user interaction interface.

[0032] Furthermore, the line loss is calculated using the following formula:

[0033]

[0034] in,

[0035]

[0036] Among them, ΔP is the line loss value; K is the current imbalance; I A , I B , I C They are the current collection data on the three-phase lines.

[0037] The positive effects of the present invention are as follows: by distributing line loss monitoring nodes at multiple key locations and equipping them with high-precision sensor modules, the present invention can comprehensively and accurately collect line power data. The dual-path filtering unit, high-impedance amplification unit, differential noise suppression unit, and analog-to-digital conversion unit in the signal conditioning circuit work together to filter, amplify, denoise, and convert the data, effectively removing high-frequency noise and interference, and improving the quality of data acquisition. In data processing and analysis, the three-phase unbalanced line loss calculation model is used to accurately calculate the line loss, and the isolation forest algorithm is combined for anomaly detection, which can quickly and accurately identify line loss anomalies. Dynamic monitoring of line losses, accurate analysis and diagnosis, and timely warning are achieved, which greatly improves the stability and safety of the power system and reduces energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a block diagram of the module structure of a line loss dynamic monitoring and analysis system for line substation equipment provided by one embodiment of the present invention.

[0039] Figure 2 This is a structural block diagram of a signal conditioning circuit provided by an embodiment of the present invention.

[0040] Figure 3 This is a schematic diagram of a signal conditioning circuit provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the embodiments described 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 making any creative efforts are within the scope of protection of the present invention.

[0042] Example

[0043] The above and other technical contents, features and effects of the present invention are described below with reference to the attached Figure 1 To the attached Figure 3 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the accompanying drawings.

[0044] Various exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.

[0045] like Figure 1 As shown in the figure, the line loss dynamic monitoring and analysis system for line substation equipment includes:

[0046] The data acquisition module is configured as a sensor module installed at the line loss monitoring node to measure line power data;

[0047] The data acquisition module also includes a signal conditioning circuit configured to filter, amplify and perform analog-to-digital conversion on the line power data;

[0048] The data transmission module is used to transmit the digital signal processed by the data acquisition module to the analysis and diagnosis module;

[0049] The analysis and diagnosis module is used to analyze and diagnose the received power data, calculate the line loss of the line substation, and identify the cause of abnormal line loss;

[0050] The user interaction interface is used to display the real-time operating status of line substation equipment, line loss data, early warning and alarm information.

[0051] In one specific embodiment, line loss monitoring nodes are distributed across the low-voltage outgoing line of the transformer in the substation area, along various branch lines, and at access points for electrical equipment. For example, a sensor module consisting of high-precision current and voltage sensors is installed at the monitoring node located on the low-voltage outgoing line of the transformer. This module collects real-time current and voltage data from the three-phase line, serving as a key component of line power data.

[0052] In order to ensure the accuracy of electric energy data collection, the weak analog signal collected by the sensor module is sent to the signal conditioning circuit for processing. Figure 2 As shown, the signal conditioning circuit includes:

[0053] Dual-channel filtering unit performs low-pass filtering on line power data to remove high-frequency noise and interference in the signal;

[0054] a high-impedance amplifying unit configured as a first isolation amplifier AR1 and a second isolation amplifier AR2 having high input impedance, the first isolation amplifier AR1 and the second isolation amplifier AR2 being respectively used to amplify two output signals of the dual-path filtering unit;

[0055] A differential noise suppression unit is configured to differentially amplify the output signals of the first isolation amplifier AR1 and the second isolation amplifier AR2, and simultaneously perform shaping filtering and temperature drift elimination processing;

[0056] The analog-to-digital conversion unit is configured to perform analog-to-digital conversion on the analog signal output by the differential noise suppression unit to generate a digital signal for subsequent data transmission and analysis processing.

[0057] In the above, the dual-path filtering unit includes two first filtering circuits and a second filtering circuit with the same structure. Taking the first filtering circuit as an example, Figure 3 As shown, the first filtering circuit includes a resistor R1, an inductor L1, a capacitor C1 and a capacitor C2. One end of the resistor R1, the inductor L1 and the capacitor C1 are connected to the signal output end of the sensor module, the other end of the resistor R1, the inductor L1 and the capacitor C2 are connected to the non-inverting input end of the first isolation amplifier AR1, and the other end of the capacitor C1 and the capacitor C2 are grounded.

[0058] The first filter circuit, consisting of resistor R1, inductor L1, capacitors C1, and C2, forms an RLC filter network that performs low-pass filtering on the sensor's output signal. Specifically, resistor R1 is 100Ω, inductor L1 is 10mH, and capacitors C1 and C2 are 0.1μF and 0.01μF, respectively. This parameter configuration effectively removes high-frequency noise and interference signals above 500Hz.

[0059] The above parameter configurations can be adjusted to suit different operating environments and sensor characteristics. For example, in situations where the noise frequency is high or the interference signal is strong, the inductance of inductor L1 or the capacitance of capacitors C1 and C2 can be appropriately increased to enhance the filtering effect. Conversely, in situations where signal quality is good and noise interference is low, the parameter values of these components can be appropriately reduced to reduce system complexity and cost.

[0060] The filtered signal enters the high-impedance amplification unit. In one specific embodiment, the first isolation amplifier AR1 and the second isolation amplifier AR2 of the AMC1302 chip are used to amplify the two output signals of the dual-channel filtering unit. The AMC1302 chip has a high input impedance, which can reduce losses during signal transmission and amplify weak signals to an amplitude range suitable for subsequent processing. In this embodiment, the amplification factor is set to 100.

[0061] The amplified signal enters the differential noise suppression unit, such as Figure 3 As shown, the differential noise suppression unit includes an op amp AR3. A shaping component is provided at the non-inverting feedback terminal of the op amp AR3. The shaping component includes a capacitor C5, a diode D1, and a resistor R5. One end of the capacitor C5 and the anode of the diode D1 are connected to the output of the first isolation amplifier AR1 via a resistor R4. The inverting input of the op amp AR3 is connected to the output of the second isolation amplifier AR2 and one end of the capacitor C6 via a resistor R6. The other end of the capacitor C6 is connected to the output of the op amp AR3 via a resistor R7. The output of the op amp AR3 is connected to the analog-to-digital conversion unit.

[0062] During the operation of the differential noise suppression unit, capacitor C5 in the shaping component acts as a DC block and filter, preventing DC components from entering subsequent circuits while further suppressing high-frequency noise in the AC signal. Diode D1 utilizes its unidirectional conductivity to rectify the signal. The shaping component's in-phase feedback processing in op amp AR3 further regularizes the signal waveform, removing abnormal components such as spikes and glitches, thereby improving signal quality and stability. Simultaneously, AR3 amplifies the differential signal from the first isolation amplifier AR1 and the second isolation amplifier AR2, effectively suppressing common-mode noise. This improves the signal-to-noise ratio and enhances the signal's resistance to interference.

[0063] Furthermore, the differential noise suppression unit also includes a temperature drift elimination component, which includes a thermistor RT1 and a field effect transistor Q1. One end of the thermistor RT1 is connected to one end of the capacitor C6, and the other end of the thermistor RT1 is connected to the drain of the field effect transistor Q1. The gate and source of the field effect transistor Q1 are grounded.

[0064] When the temperature changes, the resistance of thermistor RT1 changes accordingly. Specifically, the resistance decreases when the temperature rises and increases when the temperature drops. This change in resistance causes the current flowing through RT1 to change, which in turn affects the drain voltage of FET Q1. Specifically, when the temperature rises, RT1's resistance decreases, the drain current increases, and the output voltage of FET Q1 decreases, thereby reducing the circuit's gain and offsetting the increase in gain caused by the temperature increase. Conversely, when the temperature drops, RT1's resistance increases, the drain current decreases, and the output voltage of FET Q1 increases, thereby increasing the circuit's gain and offsetting the decrease in gain caused by the temperature drop. The synergistic effect of thermistor RT1 and FET Q1 allows for real-time monitoring and compensation of the effects of temperature changes on the gain of op amp AR3, reducing signal distortion and errors caused by temperature fluctuations and ensuring that the circuit maintains stable gain under varying temperature conditions, thereby improving signal processing accuracy and reliability.

[0065] After processing by the differential noise suppression unit, the analog signal enters the analog-to-digital conversion unit, which uses the 16-bit high-precision ADCS8182 chip. The ADCS8182 converts the analog signal into a digital signal and transmits it to the subsequent data transmission module through its data output interface. This module uses the LoRa wireless communication unit. By encapsulating and modulating the received data signal, it utilizes a specific frequency band and spread spectrum technology to achieve long-distance, low-power, and highly anti-interference wireless transmission, accurately delivering the data to the analysis and diagnosis module.

[0066] The analysis and diagnosis module analyzes and diagnoses the received power data, specifically including the following steps:

[0067] The received data signals are cleaned, filtered, denoised, and normalized. In this implementation, a median filter algorithm is used to remove abnormal pulse interference from the data, and a wavelet denoising algorithm is used to further reduce noise levels and improve data quality. Normalization maps energy data of different dimensions to the [0, 1] interval for ease of subsequent analysis.

[0068] Based on the processed data, the three-phase unbalanced line loss calculation model is used to calculate the line loss. The line loss calculation uses the following formula:

[0069]

[0070] in,

[0071]

[0072] Among them, ΔP is the line loss value; K is the current imbalance; I A , I B , IC They are the current collection data on the three-phase lines.

[0073] The Isolation Forest algorithm is used to detect anomalies in line loss data. Historical line loss data is used as a training set to train the Isolation Forest model. In practice, real-time calculated line loss data is input into the trained model, which outputs an anomaly score for each data point. For each sample subset, the data is recursively split until the termination condition is met, that is, the number of samples reaches 1. The calculation formula is:

[0074] s(x,n)=2 -h(x) / c(n) ,

[0075] Where n is the number of training samples; s(x, n) is the anomaly score of sample x; h(x) is the path length of each sample; c(n) is the expected value correction factor of the path length, which is used to standardize the path length under different sample sizes; H(n) is the nth harmonic number.

[0076] In a specific embodiment, assuming that the path length of a sample h(x)=5 and the number of samples n=256, then:

[0077] c(256)=8.01; s(x, 256)=2 -5 / 8.01 =0.66;

[0078] At this point, the anomaly score s(x, 256) does not exceed the system-set threshold of 0.8, and the sample is considered normal. Through the above operations, the isolation forest model can effectively identify anomalies in power line loss data and provide a basis for subsequent cause analysis.

[0079] When abnormal line loss is detected, the analysis and diagnosis module conducts multiple analyses. For example, it checks whether the three-phase current imbalance is excessive. If the three-phase current imbalance K exceeds 0.2, it is determined that the abnormal line loss is caused by uneven three-phase load distribution. It also checks equipment operating status data, such as whether the transformer oil temperature is too high. If the oil temperature exceeds the normal range, it is determined that the transformer is faulty and the increased line loss is caused.

[0080] The results of line loss monitoring and analysis are presented to users through a user interface. Real-time line loss data and historical line loss trend curves are displayed in charts on the user interface. Abnormal situations are marked in red and detailed explanations of the causes and treatment suggestions are given.

[0081] In summary, the line loss dynamic monitoring and analysis system for line substation equipment of the present invention has significant advantages and effectively solves the problems existing in the prior art. In terms of data acquisition, by distributing line loss monitoring nodes at multiple key locations and equipping them with high-precision sensor modules, the line power data can be collected comprehensively and accurately. The dual-path filtering unit, high-impedance amplification unit, differential noise suppression unit and analog-to-digital conversion unit in the signal conditioning circuit work together to filter, amplify, denoise and convert the data, effectively removing high-frequency noise and interference, and improving the quality of data acquisition. In data processing and analysis, algorithms such as median filtering and wavelet denoising are used for data cleaning and denoising, and normalization is used to unify the data dimension. The three-phase unbalanced line loss calculation model is used to accurately calculate the line loss, and the isolation forest algorithm is combined for anomaly detection, which can quickly and accurately identify line loss anomalies. When analyzing the cause of the anomaly, starting from multiple aspects such as the three-phase current imbalance and the equipment operating status, the root cause of the problem can be quickly located. Finally, the monitoring and analysis results are intuitively displayed through the user interactive interface, providing targeted solutions for power operation and maintenance personnel, realizing dynamic monitoring of line losses, accurate analysis and diagnosis, and timely early warning, greatly improving the stability and safety of the power system and reducing energy waste.

[0082] In the description of the present invention, it should be noted that the terms “first”, “second” and “third” are only used for descriptive purposes and should not be understood as indicating or implying relative importance.

[0083] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0084] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0085] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0086] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0087] The above-mentioned embodiments are described in a relatively detailed and specific manner, expressing preferred embodiments of the present invention. They are only used to illustrate the technical ideas and features of the present invention. Their purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly. However, they are not limited to the present invention alone, and the patent scope of the present invention cannot be limited solely by these embodiments. That is, any equivalent changes or modifications made to the spirit disclosed by the present invention, for researchers or technicians in this field, without departing from the structure of the present invention, local improvements within the system and changes and conversions between subsystems, etc., are still within the patent scope of the present invention.

Claims

1. Line area equipment line loss dynamic monitoring and analysis system, characterized by: include: a data acquisition module configured as a sensor module installed at the line loss monitoring node for measuring line power data; The data acquisition module further includes a signal conditioning circuit configured to filter, amplify and perform analog-to-digital conversion on the line power data; A data transmission module, used for transmitting the digital signal processed by the data acquisition module to the analysis and diagnosis module; The analysis and diagnosis module is used to analyze and diagnose the received power data, calculate the line loss of the line substation, and identify the cause of abnormal line loss; The user interaction interface is used to display the real-time operating status of line substation equipment, line loss data, early warning and alarm information.

2. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 1 is characterized in that: The signal conditioning circuit comprises: Dual-channel filtering unit performs low-pass filtering on line power data to remove high-frequency noise and interference in the signal; a high-impedance amplifying unit configured as a first isolation amplifier AR1 and a second isolation amplifier AR2 having high input impedance, wherein the first isolation amplifier AR1 and the second isolation amplifier AR2 are respectively used to amplify the two output signals of the dual-path filtering unit; a differential noise suppression unit configured to differentially amplify the output signals of the first isolation amplifier AR1 and the second isolation amplifier AR2, and simultaneously perform shaping filtering and temperature drift elimination processing; The analog-to-digital conversion unit is configured to perform analog-to-digital conversion on the analog signal output by the differential noise suppression unit to generate a digital signal.

3. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 2 is characterized in that: The dual-path filtering unit includes two first filtering circuits and a second filtering circuit with the same structure; The first filtering circuit includes a resistor R1, an inductor L1, a capacitor C1 and a capacitor C2. One end of the resistor R1, the inductor L1 and the capacitor C1 are connected to the signal output end of the sensor module, the other ends of the resistor R1 and the inductor L1 and one end of the capacitor C2 are connected to the non-inverting input end of the first isolation amplifier AR1, and the other ends of the capacitor C1 and the capacitor C2 are grounded.

4. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 1 is characterized in that: The first isolation amplifier AR1 and the second isolation amplifier AR2 are both AMC1302 chips.

5. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 4 is characterized in that: The differential noise suppression unit includes an op amp AR3. A shaping component is provided at the in-phase feedback end of the op amp AR3. The shaping component includes a capacitor C5, a diode D1, and a resistor R5. One end of the capacitor C5 and the anode of the diode D1 are connected to the output end of the first isolation amplifier AR1 through a resistor R4. The inverting input end of the op amp AR3 is connected to the output end of the second isolation amplifier AR2 and one end of the capacitor C6 through a resistor R6. The other end of the capacitor C6 is connected to the output end of the op amp AR3 through a resistor R7. The output end of the op amp AR3 is connected to the analog-to-digital conversion unit.

6. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 5 is characterized in that: The differential noise suppression unit also includes a temperature drift elimination component, which includes a thermistor RT1 and a field effect transistor Q1. One end of the thermistor RT1 is connected to one end of the capacitor C6, and the other end of the thermistor RT1 is connected to the drain of the field effect transistor Q1. The gate and source of the field effect transistor Q1 are grounded.

7. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 5 is characterized in that: The analog-to-digital conversion unit uses the ADCS8182 chip.

8. The line loss dynamic monitoring and analysis system for line substation equipment according to claim 1 is characterized in that: The data transmission module uses a LoRa wireless communication unit.

9. The line area equipment line loss dynamic monitoring and analysis system according to claim 1 is characterized in that: The analysis and diagnosis module analyzes and diagnoses the received power data, specifically including the following steps: Clean, filter, denoise and normalize the received data signal; Based on the processed data, the line loss calculation model of three-phase unbalanced line loss is used to calculate the line loss; The isolation forest algorithm is used to detect anomalies in line loss data. Historical line loss data is used as a training set. When the anomaly score of real-time line loss data exceeds 0.8, it is considered an anomaly. When the analysis and diagnosis module performs abnormal analysis and diagnosis, if the three-phase current imbalance exceeds 0.2, it further analyzes the three-phase load distribution and gives suggestions for adjusting the load distribution; The results of the line loss monitoring analysis are presented to the user through the user interaction interface.

10. The line area equipment line loss dynamic monitoring and analysis system according to claim 9, characterized in that: The line loss calculation adopts the following calculation formula: in, Among them, ΔP is the line loss value; K is the current imbalance; I A , I B , I C They are the current collection data on the three-phase lines.

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