Power distribution network wire selection system based on data analysis

Abstract

The invention relates to the field of power distribution network wires, in particular to a power distribution network wire selection system based on data analysis, which is provided with a detector, a mechanical stress analyzer, a line section classifier, a selection analyzer and a selection early warning device, and is characterized in that the detector comprises an electric power parameter detection unit and a stress detection unit; the mechanical stress analyzer is used for determining a stress induction time domain section to carry out stress analysis and determining mechanical stress characteristics; the line section classifier is used for calculating mechanical stress induction characterization values based on the mechanical stress characteristics and dividing mechanical stress induction tendencies; the selection analyzer is used for controlling a power generation end corresponding to the line section to send fluctuation current for verification, collecting power parameters of the line section, determining peak moments of the fluctuation current, determining dispersion of the power parameters corresponding to the peak moments and judging whether the line section is abnormal or not; and the selection early warning device is used for selecting and sending an early warning signal aiming at an abnormal line section, so that the efficiency and accuracy of abnormal wire selection are improved.

Description

Technical Field

[0001] The invention relates to the field of distribution network conductors, and in particular to a distribution network conductor selection system based on data analysis. Background Art

[0002] With the rapid economic development and the continuous advancement of urbanization, the load demand of the whole society for the power system has shown a trend of continuous increase. This change has brought unprecedented challenges to the power supply capacity and operational reliability of the distribution network. In this context, the importance of reasonable selection of distribution network conductors has become increasingly prominent, which is directly related to whether the distribution network can achieve efficient, stable and safe operation. However, the use environment of distribution network conductors is extremely complex and diverse, covering a variety of scenarios such as overhead lines, underground cable laying, coastal areas, and special corrosive environments. These complex environmental conditions put forward more stringent requirements on the performance of conductors, especially in the face of abnormal situations, the selection of conductors needs to be more cautious. Therefore, in order to effectively prevent the occurrence of accidents, it is necessary to timely discover and deal with potential hidden dangers through scientific and reasonable line monitoring and early warning mechanisms before the accident occurs, so as to ensure the safe and reliable operation of the entire power system.

[0003] Chinese patent publication number: CN113910907A, discloses a method, device, computer equipment and storage medium for selecting a conductor, the method comprising: obtaining the first output power average value after a fault at the DC / DC terminal of a vehicle in a preset electric balance test at a first preset temperature; calculating the first output current average value after a fault at the DC / DC terminal of the vehicle according to the first output power average value; obtaining the second output power average value after a fault at the DC / DC terminal of the vehicle in a preset electric balance test at a second preset temperature; calculating the second output current average value after a fault at the DC / DC terminal of the vehicle according to the second output power average value; obtaining the current carrying capacity value of the currently selected conductor; when the current carrying capacity value is greater than or equal to the first output current average value, and the current carrying capacity value is greater than or equal to the second output current average value at the same time, determining that the currently selected conductor meets the requirements; otherwise, it does not meet the requirements. The use of this method can avoid the occurrence of safety hazards; at the same time, it also solves the problem of high design costs.

[0004] Chinese Patent Publication No.: CN116435928A discloses a low-voltage cable maintenance device and maintenance method thereof, including a lifter, an operating table is arranged on the upper part of the lifter, a positioning component is arranged inside the operating table to fix its position in the middle of the groove, auxiliary components for fixing and moving the cable are symmetrically arranged on the left and right sides of the upper part of the operating table for sliding left and right, and a convenient set and installation component for fixing the heat shrink tube are arranged on the middle position of the upper side of the operating table for sliding left and right. The invention uses the positioning component to fix the position of the raised operating table, thereby ensuring the stability of the operating table during the repair of the cable and ensuring the repair efficiency of the cable; and the bonding plate can adapt to the groove walls of different slopes for bonding, further increasing the stability of the operating table; the expansion component can expand the heat shrink tube in advance on its outside, thereby avoiding the heat shrink tube from scratching the inner core of the cable and ensuring the repair effect.

[0005] It can be seen that the prior art still has the following problems: In actual distribution network operations, the selection of abnormal conductors is often carried out after an accident occurs. At this time, the conductors may have suffered serious damage. This damage may not only involve the conductors themselves, but may also affect other power equipment connected to them, complicating maintenance work and increasing maintenance costs. Secondly, it may also lead to power supply interruptions and affect users' normal electricity consumption. Summary of the invention

[0006] To this end, the present invention provides a distribution network conductor selection system based on data analysis to overcome the problem that in actual distribution network operation, the selection of abnormal conductors is often carried out after an accident occurs, at which time the conductors may have suffered serious damage. Such damage may not only involve the conductors themselves, but may also affect other power equipment connected to them, complicating maintenance work and increasing maintenance costs. Secondly, it may also cause power supply interruption, affecting users' normal power consumption.

[0007] To achieve the above object, the present invention provides a distribution network conductor selection system based on data analysis, comprising: A detector, comprising a power parameter detection unit arranged at each transmission node of the distribution network for detecting power parameters of each line segment and a stress detection unit for detecting stress at the interface of the line segment; A mechanical stress analyzer connected to the detector to record the power parameters of each line segment in the time domain dimension, determine the stress-inducing time domain segment based on the change of the power parameters, analyze the stress at the interface of the circuit segment in the stress-inducing time domain segment, and determine the mechanical stress characteristics; a line segment classifier connected to the stress analyzer, for calculating a mechanical stress induction characterization value of the line segment during power transmission based on the mechanical stress characteristics, so as to classify the mechanical stress induction tendency of the line segment; Select an analyzer, which is connected to the line segment classifier, and is used to control the power generation end corresponding to the line segment to send a fluctuating current for verification in response to the classification result of the line segment classifier, collect power parameters of the line segment, determine the peak moment of the fluctuating current, determine the discreteness of the power parameters corresponding to each peak moment, and determine whether the line segment is abnormal according to the discreteness; A selection alarm device is connected to the selection analyzer and is used to select and send an alarm signal for a line section with an abnormality.

[0008] Furthermore, the mechanical stress analyzer determines the stress-inducing time domain segment based on the change of the power parameter, including: To determine the change in power parameters in each time domain; If there is a time domain segment whose corresponding power parameter change is greater than a predetermined change, the time domain segment is determined to be a stress-induced time domain segment; The power parameters are composed of voltage, current, frequency and impedance.

[0009] Furthermore, the mechanical stress analyzer analyzes the stress on the circuit segment interface in the stress-inducing time domain, including: Used to call the stress data in the corresponding stress-inducing time domain; It is used to calculate the stress change amplitude, stress change rate and stress difference at both ends of the line segment to obtain the mechanical stress characteristics.

[0010] Furthermore, the line segment classifier calculates the mechanical stress induced characterization value during the power transmission of the line segment based on the mechanical stress feature, including: The ratio of the stress variation amplitude to the reference stress variation amplitude is determined as the stress variation amplitude influencing factor; The ratio of the stress change rate to the reference stress change rate is used to determine the stress change rate influencing factor; The ratio of the stress difference to the reference stress difference is determined as a stress difference influencing factor; The weighted sum of the stress change amplitude influencing factor, the stress change rate influencing factor and the stress difference influencing factor is used to determine the mechanical stress induced characterization value.

[0011] Furthermore, the line segment classifier classifies the mechanical stress inducing tendency of the line segment, wherein: If the mechanical stress induction characteristic value is greater than a preset mechanical stress induction characteristic value, the mechanical stress induction tendency is classified as a strong induction tendency; If the mechanical stress induction characteristic value is less than or equal to a preset mechanical stress induction characteristic value, the mechanical stress induction tendency is classified as a weak induction tendency.

[0012] Furthermore, when the classification result of the line segment classifier is a strong induced tendency, the selection analyzer controls the corresponding power generation end of the line segment to send a fluctuating current for verification, collects the power parameters of the line segment, determines the peak moment of the fluctuating current, determines the discreteness of the power parameters corresponding to each peak moment, and determines whether there is an abnormality in the line segment based on the discreteness.

[0013] Furthermore, the selection analyzer determines the peak moment of the fluctuating current, including: Current data to determine fluctuating current; Used to construct a current fluctuation curve based on current data; The time corresponding to the peak value of the current fluctuation curve is determined as the peak time.

[0014] Furthermore, the selection analyzer determines the dispersion of the power parameters corresponding to each peak moment, including: To determine the power parameters corresponding to each peak moment and the average value of the power parameters in the corresponding stress-inducing time domain; for determining a variance based on the power parameter and an average value of the power parameter; Used to determine the variance as the dispersion.

[0015] Furthermore, the selection analyzer determines whether there is an abnormality in the line segment based on the discreteness, wherein: If the discreteness is greater than the reference discreteness threshold, it is determined that there is an abnormality in the line segment; If the dispersion is less than or equal to the reference dispersion threshold, it is determined that there is no abnormality in the line segment.

[0016] Furthermore, the selective warning device selects a warning signal for a line segment with an abnormality and sends it to a maintenance site closest to the line segment.

[0017] Compared with the prior art, the present invention is provided with a detector, a mechanical stress analyzer, a line segment classifier, a selection analyzer and a selection alarm. The detector includes an electric parameter detection unit and a stress detection unit; the mechanical stress analyzer is used to determine the stress-induced time domain segment for stress analysis and determine the mechanical stress characteristics; the line segment classifier is used to calculate the mechanical stress-induced characterization value based on the mechanical stress characteristics and divide the mechanical stress-induced tendency; the selection analyzer is used to control the line segment corresponding to the power generation end to send the fluctuating current used for verification, collect the power parameters of the line segment, determine the peak moment of the fluctuating current, determine the discreteness of the power parameters corresponding to each peak moment, and determine whether the line segment is abnormal; the selection alarm is used to select and send the warning signal for the line segment with abnormalities. The present invention improves the efficiency and accuracy of selecting abnormal conductors and improves the transmission efficiency and safety of the distribution network by determining and analyzing the mechanical stress characteristics of the distribution network, selecting abnormal line segments and issuing warnings.

[0018] In particular, the present invention determines the stress-inducing time domain segment based on the change of power parameters to perform stress analysis, determine the mechanical stress characteristics, and provide a data basis for the subsequent calculation of the mechanical stress-induced characterization value. In actual situations, when a sudden current passes through a line, the line will cause abnormal fluctuations. If it is not intervened in time, the line will suffer serious damage. However, in the prior art, the line intervention is mostly after an accident occurs. At this time, the line may have many problems, such as equipment damage and fault expansion, extended power outage time, and difficulty in fault location. Based on this, the present invention determines the stress-inducing time domain segment, and performs stress analysis on the line segment in the stress-inducing time domain segment to determine the mechanical stress characteristics of the line segment, thereby improving the efficiency and accuracy of selecting abnormal conductors and improving the transmission efficiency and safety of the distribution network.

[0019] In particular, the present invention calculates the mechanical stress-induced characterization value to divide the mechanical stress-induced tendency of the line segment. In actual situations, most of the abnormal tendency of the line segment is judged based on accident images or accident data, ignoring the fact that when an abnormality occurs in the line segment, the stress inside the conductor changes. For example, the increase in the layered stress between the twisted conductors, the increase in the dynamic stress caused by the vibration of the conductor, and the increase in static stress such as tension, bending stress and radial extrusion pressure are all specific manifestations of the abnormality of the line segment. Based on this, the present invention considers calculating the mechanical stress-induced characterization value according to the mechanical stress characteristics, dividing the stress-induced tendency of the line segment, and selecting the abnormal line segment, thereby improving the efficiency and accuracy of selecting abnormal conductors and improving the transmission efficiency and safety of the distribution network.

[0020] In particular, the present invention determines the abnormality of the line segment with a strong inducing tendency, controls the line segment to send a fluctuating current at the corresponding power generation end, determines the peak moment of the fluctuating current and the discreteness of the corresponding power parameters, so as to determine whether the line segment has an abnormality, and only verifies the line segment with a higher tendency to induce mechanical stress to avoid affecting the stability of other lines. In actual situations, when the fluctuating current passes through the line segment with a strong inducing tendency, it is easy to induce stress in different areas of the line segment, resulting in deformation of the wires inside the line segment, which is manifested as discrete power parameters at the peak value in the data dimension. Based on this, the present invention selects the abnormal line segment through the discreteness of the power parameters at the peak value, and at the same time selects the early warning signal for the abnormal line segment and sends it to the maintenance site, thereby improving the efficiency and accuracy of selecting abnormal wires and improving the transmission efficiency and safety of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 A schematic diagram of the structure of a distribution network conductor selection system based on data analysis according to an embodiment of the invention; Figure 2 A logic block diagram for dividing the mechanical stress inducing tendency of the line segments according to an embodiment of the invention; Figure 3 This is a logic block diagram for determining whether a line segment has an abnormality according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0023] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0024] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the term "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] See also Figure 1 , Figure 1 The present invention is a schematic diagram of a distribution network conductor selection system based on data analysis according to an embodiment of the invention. The present invention is a distribution network conductor selection system based on data analysis, comprising: A detector, comprising a power parameter detection unit arranged at each transmission node of the distribution network for detecting power parameters of each line segment and a stress detection unit for detecting stress at the interface of the line segment; A mechanical stress analyzer connected to the detector to record the power parameters of each line segment in the time domain dimension, determine the stress-inducing time domain segment based on the change of the power parameters, analyze the stress at the interface of the circuit segment in the stress-inducing time domain segment, and determine the mechanical stress characteristics; a line segment classifier connected to the stress analyzer, for calculating a mechanical stress induction characterization value of the line segment during power transmission based on the mechanical stress characteristics, so as to classify the mechanical stress induction tendency of the line segment; Select an analyzer, which is connected to the line segment classifier, and is used to control the power generation end corresponding to the line segment to send a fluctuating current for verification in response to the classification result of the line segment classifier, collect power parameters of the line segment, determine the peak moment of the fluctuating current, determine the discreteness of the power parameters corresponding to each peak moment, and determine whether the line segment is abnormal according to the discreteness; A selection alarm device is connected to the selection analyzer and is used to select and send an alarm signal for a line section with an abnormality.

[0026] Specifically, there is no limitation on the specific structure of the power parameter detection unit. For example, it can be a multi-sensor joint detection system. It only needs to ensure that the power parameters of each line segment can be measured. This is the existing technology and will not be described in detail.

[0027] Specifically, there is no limitation on the specific structure of the stress detection unit. For example, it can be a tension sensor, which is set at the interface of the corresponding line segment of the cable to detect the tension at the line segment interface. Of course, other methods can also be used, which will not be repeated here.

[0028] It is understandable that when the current in the circuit suddenly increases, according to the Ampere force calculation formula, the electromagnetic force exerted on the conductor in the magnetic field will increase sharply. This electromagnetic force will cause the circuit to produce an outward expansion force or mutual repulsion, thereby increasing the mechanical stress of the circuit, causing the circuit to become abnormal and affecting the conduction of current.

[0029] It is understood that the Ampere force is the product of the magnetic field strength, the current and the length of the conductor.

[0030] Specifically, the fluctuating current used for verification will produce reflection when it encounters an abnormal point in the line. Different types of abnormal points have different reflection intensities. By analyzing the propagation time and reflection characteristics of the fluctuating current in the line, the specific abnormal point can be determined to more accurately determine the abnormality of the line section. This will not be repeated here.

[0031] Specifically, the warning signal selected in the warning device can be a visual warning, an auditory warning, and a comprehensive warning. Those skilled in the art can determine the warning signal according to actual conditions, which will not be elaborated here.

[0032] Specifically, the mechanical stress analyzer determines the stress-inducing time domain segment based on the change of the electrical parameters, including: To determine the change in power parameters in each time domain; If there is a time domain segment whose corresponding power parameter change is greater than a predetermined change, the time domain segment is determined to be a stress-induced time domain segment; The power parameters are composed of voltage, current, frequency and impedance.

[0033] It can be understood that the change in the power parameter here is the change in any one of voltage, current, frequency and impedance, that is, if any one of the changes is greater than the corresponding predetermined change, the time domain segment is determined to be a stress-induced time domain segment.

[0034] In implementation, different predetermined changes are set for voltage, current, frequency and impedance, respectively, wherein the predetermined change of voltage is selected between 0.25 times and 0.5 times the historical average voltage, the predetermined change of current is selected between 0.25 times and 0.5 times the historical average current, the predetermined change of frequency is selected between 0.15 times and 0.3 times the historical average frequency, and the predetermined change of impedance is selected between 0.15 times and 0.3 times the historical average impedance.

[0035] Specifically, the mechanical stress analyzer analyzes the stresses at the interfaces of the circuit segments in the stress-inducing time domain, including: Used to call the stress data in the corresponding stress-inducing time domain; It is used to calculate the stress change amplitude, stress change rate and stress difference at both ends of the line segment to obtain the mechanical stress characteristics.

[0036] Specifically, the present invention determines the stress-inducing time domain segment based on the change of power parameters to perform stress analysis, determine the mechanical stress characteristics, and provide a data basis for the subsequent calculation of the mechanical stress-induced characterization value. In actual situations, when a sudden current passes through a line, the line will cause abnormal fluctuations. If it is not intervened in time, the line will suffer serious damage. However, in the prior art, the line intervention is mostly after an accident occurs. At this time, the line may have many problems, such as equipment damage and fault expansion, extended power outage time, and difficulty in fault location. Based on this, the present invention determines the stress-inducing time domain segment, and performs stress analysis on the line segment in the stress-inducing time domain segment to determine the mechanical stress characteristics of the line segment, thereby improving the efficiency and accuracy of selecting abnormal conductors and improving the transmission efficiency and safety of the distribution network.

[0037] Specifically, the line segment classifier calculates the mechanical stress induced characterization value during the power transmission of the line segment based on the mechanical stress feature, including: The ratio of the stress variation amplitude to the reference stress variation amplitude is determined as the stress variation amplitude influencing factor; The ratio of the stress change rate to the reference stress change rate is used to determine the stress change rate influencing factor; The ratio of the stress difference to the reference stress difference is determined as a stress difference influencing factor; The weighted sum of the stress change amplitude influencing factor, the stress change rate influencing factor and the stress difference influencing factor is used to determine the mechanical stress induced characterization value.

[0038] Specifically, the reference stress change amplitude is calculated in advance, and the stress change amplitudes of several normal states are obtained in advance, and the average value of the stress change amplitudes of several normal states is determined. The reference stress change amplitude is set to the product of the average value of the stress change amplitude and the stress change amplitude accuracy coefficient, and the stress change amplitude accuracy coefficient is selected within the interval [1.25, 1.5].

[0039] Specifically, the reference stress change rate is calculated in advance, and the stress change rates of several normal states are obtained in advance, and the average value of the stress change rates of several normal states is determined. The reference stress change rate is set to the product of the average value of the stress change rate and the stress change rate accuracy coefficient, and the stress change rate accuracy coefficient is selected within the interval [1.15, 1.3].

[0040] Specifically, the reference stress difference is calculated in advance, and the stress differences of several normal states are obtained in advance, and the average value of the stress differences of several normal states is determined. The reference stress difference is set to the product of the average value of the stress difference and the stress difference accuracy coefficient, and the stress difference accuracy coefficient is selected within the interval [1.05, 1.15].

[0041] Specifically, the sum of the weight coefficients of the stress change amplitude influencing factor, the stress change rate influencing factor, and the stress difference influencing factor is 1, the weight coefficient of the stress change amplitude influencing factor is 0.33, the weight coefficient of the stress change rate influencing factor is 0.34, and the weight coefficient of the stress difference influencing factor is 0.33. See also Figure 2 , Figure 2 The following is a logic block diagram of classifying the mechanical stress inducing tendency of the line segment according to an embodiment of the invention. Specifically, the line segment classifier classifies the mechanical stress inducing tendency of the line segment, wherein: If the mechanical stress induction characteristic value is greater than a preset mechanical stress induction characteristic value, the mechanical stress induction tendency is classified as a strong induction tendency; If the mechanical stress induction characteristic value is less than or equal to a preset mechanical stress induction characteristic value, the mechanical stress induction tendency is classified as a weak induction tendency.

[0042] Specifically, the preset mechanical stress-induced characterization value is selected within the interval [0.85, 0.95].

[0043] Specifically, the present invention calculates a mechanical stress-induced characterization value to divide the mechanical stress-induced tendency of the line segment. In actual situations, most of the abnormal tendency of the line segment is judged based on accident images or accident data, ignoring the fact that when an abnormality occurs in the line segment, the stress inside the conductor changes. For example, the increase in the delamination stress between the twisted conductors, the increase in the dynamic stress caused by the vibration of the conductor, and the increase in static stress such as tension, bending stress and radial extrusion pressure are all specific manifestations of the abnormality of the line segment. Based on this, the present invention considers calculating the mechanical stress-induced characterization value according to the mechanical stress characteristics, dividing the stress-induced tendency of the line segment, and selecting the abnormal line segment, thereby improving the efficiency and accuracy of selecting abnormal conductors and improving the transmission efficiency and safety of the distribution network.

[0044] Specifically, when the analysis device is selected to respond to the strong induced tendency of the classification result of the line segment classifier, it controls the corresponding power generation end of the line segment to send a fluctuating current for verification, collects the power parameters of the line segment, determines the peak moment of the fluctuating current, determines the discreteness of the power parameters corresponding to each peak moment, and determines whether there is an abnormality in the line segment based on the discreteness.

[0045] Specifically, the analyzer is selected to determine the peak moment of the fluctuating current, including, Current data to determine fluctuating current; Used to construct a current fluctuation curve based on current data; The time corresponding to the peak value of the current fluctuation curve is determined as the peak time.

[0046] Specifically, there is no limitation on the method of constructing the current fluctuation curve. For example, data-curve conversion can be directly performed through an existing system or software. This is an existing technology and will not be described in detail.

[0047] Specifically, the analyzer is selected to determine the dispersion of the power parameters corresponding to each peak moment, including: To determine the power parameters corresponding to each peak moment and the average value of the power parameters in the corresponding stress-inducing time domain; for determining a variance based on the power parameter and an average value of the power parameter; Used to determine the variance as the dispersion.

[0048] Specifically, the process of determining the variance of power parameters is as follows: determining the difference between each power parameter and the corresponding power parameter average value; Each difference is squared to obtain a number of square differences to eliminate the positive and negative differences and amplify the differences; Determine the variance by taking the average of the squared differences.

[0049] See also Figure 3 , Figure 3 The present invention is a logic block diagram of determining whether a line segment is abnormal in an embodiment of the present invention. Specifically, the analyzer is selected to determine whether a line segment is abnormal based on the discreteness, wherein: If the discreteness is greater than the reference discreteness threshold, it is determined that there is an abnormality in the line segment; If the dispersion is less than or equal to the reference dispersion threshold, it is determined that there is no abnormality in the line segment.

[0050] Specifically, the reference discreteness threshold is calculated in advance, wherein the discreteness of a number of normal line segments with respect to power parameters is obtained in advance, and the reference discreteness threshold is set to be between 0.45 and 0.75 times the average discreteness of the normal line segments.

[0051] Specifically, the selection warning device selects the warning signal for the line section with abnormality and sends it to the maintenance site closest to the line section.

[0052] Specifically, the distance is a straight-line distance, which will not be described in detail.

[0053] Specifically, the present invention determines the abnormality of the line segment with a strong inducing tendency, controls the line segment to send a fluctuating current at the corresponding power generation end, determines the peak moment of the fluctuating current and the discreteness of the corresponding power parameters, so as to determine whether the line segment has an abnormality, and only verifies the line segment with a higher tendency to induce mechanical stress to avoid affecting the stability of other lines. In actual situations, when the fluctuating current passes through the line segment with a strong inducing tendency, it is easy to induce stress in different areas of the line segment, resulting in deformation of the wires inside the line segment, which is manifested as discrete power parameters at the peak value in the data dimension. Based on this, the present invention selects the abnormal line segment through the discreteness of the power parameters at the peak value, and at the same time selects the early warning signal for the abnormal line segment and sends it to the maintenance site, thereby improving the efficiency and accuracy of selecting abnormal wires and improving the transmission efficiency and safety of the distribution network.

[0054] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0055] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A distribution network conductor selection system based on data analysis, characterized in that: include: A detector, comprising a power parameter detection unit arranged at each transmission node of the distribution network for detecting power parameters of each line segment and a stress detection unit for detecting stress at the interface of the line segment; A mechanical stress analyzer connected to the detector to record the power parameters of each line segment in the time domain dimension, determine the stress-inducing time domain segment based on the change of the power parameters, analyze the stress at the interface of the circuit segment in the stress-inducing time domain segment, and determine the mechanical stress characteristics; a line segment classifier connected to the stress analyzer, for calculating a mechanical stress induction characterization value of the line segment during power transmission based on the mechanical stress characteristics, so as to classify the mechanical stress induction tendency of the line segment; Select an analyzer, which is connected to the line segment classifier, and is used to control the power generation end corresponding to the line segment to send a fluctuating current for verification in response to the classification result of the line segment classifier, collect power parameters of the line segment, determine the peak moment of the fluctuating current, determine the discreteness of the power parameters corresponding to each peak moment, and determine whether the line segment is abnormal according to the discreteness; A selection alarm device is connected to the selection analyzer and is used to select and send an alarm signal for a line section with an abnormality.

2. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The mechanical stress analyzer determines the stress-inducing time domain segment based on the change of the power parameter, including: To determine the change in power parameters in each time domain; If there is a time domain segment whose corresponding power parameter change is greater than a predetermined change, the time domain segment is determined to be a stress-induced time domain segment; The power parameters are composed of voltage, current, frequency and impedance.

3. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The mechanical stress analyzer analyzes the stress on the circuit segment interface in the stress-inducing time domain. include, Used to call the stress data in the corresponding stress-inducing time domain; It is used to calculate the stress change amplitude, stress change rate and stress difference at both ends of the line segment to obtain the mechanical stress characteristics.

4. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The line segment classifier calculates a mechanical stress induced characterization value during power transmission of the line segment based on the mechanical stress feature, including: The ratio of the stress variation amplitude to the reference stress variation amplitude is determined as the stress variation amplitude influencing factor; The ratio of the stress change rate to the reference stress change rate is used to determine the stress change rate influencing factor; The ratio of the stress difference to the reference stress difference is determined as a stress difference influencing factor; The weighted sum of the stress change amplitude influencing factor, the stress change rate influencing factor and the stress difference influencing factor is used to determine the mechanical stress induced characterization value.

5. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The line segment classifier classifies the mechanical stress inducing tendency of the line segment, wherein If the mechanical stress induction characteristic value is greater than a preset mechanical stress induction characteristic value, the mechanical stress induction tendency is classified as a strong induction tendency; If the mechanical stress induction characteristic value is less than or equal to a preset mechanical stress induction characteristic value, the mechanical stress induction tendency is classified as a weak induction tendency.

6. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: When the classification result of the line segment classifier is a strong induced tendency, the selection analyzer controls the corresponding power generation end of the line segment to send a fluctuating current for verification, collects the power parameters of the line segment, determines the peak moment of the fluctuating current, determines the discreteness of the power parameters corresponding to each peak moment, and determines whether there is an abnormality in the line segment based on the discreteness.

7. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The selection analyzer determines the peak moment of the fluctuating current, including, Current data to determine fluctuating current; Used to construct a current fluctuation curve based on current data; The time corresponding to the peak value of the current fluctuation curve is determined as the peak time.

8. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The selection analyzer determines the dispersion of the power parameters corresponding to each peak moment, including: To determine the power parameters corresponding to each peak moment and the average value of the power parameters in the corresponding stress-inducing time domain; for determining a variance based on the power parameter and an average value of the power parameter; Used to determine the variance as the dispersion.

9. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The selection analyzer determines whether there is an abnormality in the line segment according to the dispersion, wherein: If the discreteness is greater than the reference discreteness threshold, it is determined that there is an abnormality in the line segment; If the dispersion is less than or equal to the reference dispersion threshold, it is determined that there is no abnormality in the line segment.

10. The distribution network conductor selection system based on data analysis according to claim 1, characterized in that: The selective warning device selects a warning signal for a line segment with an abnormality and sends it to a maintenance site closest to the line segment.

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