A distribution network conductor selection system based on data analysis

Abstract

The present invention relates to the field of distribution network conductors, and particularly to a distribution network conductor selection system based on data analysis. The present invention is provided with a detector, a mechanical stress analyzer, a line segment classifier, a selection analyzer, and a selection warning device. The detector includes an electric power 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 to 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 corresponding power generation end of the line segment to send a fluctuating current for verification, collect the electric power parameters of the line segment, determine the peak time of the fluctuating current, determine the dispersion of the electric power parameters corresponding to each peak time, and determine whether there is an abnormality in the line segment; the selection warning device is used to select and send a warning signal for the line segment with an abnormality, improving the efficiency and accuracy of abnormal conductor selection.

Description

Technical Field

[0001] The present invention relates to the field of distribution network conductors, and particularly 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 shows a continuous upward trend. This change poses unprecedented challenges to the power supply capacity and operation reliability of the distribution network. Under such circumstances, the importance of reasonably selecting distribution network conductors becomes even more prominent, which is directly related to whether the distribution network can operate efficiently, stably and safely. However, the usage environment of distribution network conductors is extremely complex and diverse, covering various scenarios such as overhead lines, underground cable laying, coastal areas and special corrosive environments. These complex environmental conditions pose more stringent requirements on the performance of the conductors. Especially in the face of abnormal situations, the selection of conductors needs to be more cautious. Therefore, in order to effectively prevent accidents from occurring, it is necessary to discover and handle potential hidden dangers in a timely manner through a scientific and reasonable line monitoring and warning mechanism before the accidents occur, so as to ensure the safe and reliable operation of the entire power system.

[0003] Chinese Patent Publication No.: CN113910907A discloses a method, device, computer equipment and storage medium for conductor selection. The method includes: obtaining the average value of the first output power after the vehicle DC / DC terminal fails in a preset electrical balance test at the first preset temperature; calculating the average value of the first output current after the vehicle DC / DC terminal fails according to the average value of the first output power; obtaining the average value of the second output power after the vehicle DC / DC terminal fails in a preset electrical balance test at the second preset temperature; calculating the average value of the second output current after the vehicle DC / DC terminal fails according to the average value of the second output power; obtaining the current-carrying capacity value of the currently selected conductor; when the current-carrying capacity value is greater than or equal to the average value of the first output current and at the same time greater than or equal to the average value of the second output current, it is determined that the currently selected conductor meets the requirements; otherwise, it does not meet the requirements. Using this method can avoid the occurrence of safety hazards; at the same time, it also solves the problem of relatively high design costs.

[0004] Chinese Patent Publication No.: CN116435928A discloses a low-voltage cable maintenance device and its maintenance method, including a lifter. An operating platform is arranged on the upper part of the lifter. A positioning component for fixing its position in the middle of the trench is arranged inside the operating platform. On the upper part of the operating platform, auxiliary components for fixing and moving the cable are symmetrically arranged on the left and right sides and slide left and right. An installation component for conveniently sleeving and fixing the heat shrinkable tube slides left and right at the middle position on the upper side of the operating platform. This invention uses the positioning component to fix the position of the lifted operating platform, thus ensuring the stability of the operating platform during the cable repair process and guaranteeing the cable repair efficiency. Moreover, the fitting plate can adaptively fit the trench walls with different slopes, further increasing the stability of the operating platform. The expansion support component can pre-expand the heat shrinkable tube on its outer side, thus avoiding abrasion between the heat shrinkable tube and the cable inner core and ensuring the repair effect.

[0005] It can be seen that the following problems still exist in the prior art.

[0006] In the actual operation of the distribution network, the selection of abnormal conductors is often carried out after an accident occurs. At this time, the conductors may have suffered serious damage, which may not only involve the conductors themselves but also affect other power equipment connected to them, making the maintenance work complicated and increasing the maintenance cost. Secondly, it may also lead to power supply interruption and affect the normal power consumption of users. Summary of the Invention

[0007] Therefore, the present invention provides a distribution network conductor selection system based on data analysis to overcome the problems that in the actual operation of the distribution network, the selection of abnormal conductors is often carried out after an accident occurs. At this time, the conductors may have suffered serious damage, which may not only involve the conductors themselves but also affect other power equipment connected to them, making the maintenance work complicated and increasing the maintenance cost. Secondly, it may also lead to power supply interruption and affect the normal power consumption of users.

[0008] To achieve the above object, the present invention provides a distribution network conductor selection system based on data analysis, including:

[0009] A detector, which includes a power parameter detection unit arranged at each transmission node of the distribution network for detecting the power parameters of each line segment and a stress detection unit for detecting the stress received at the interface of the line segment.

[0010] A mechanical stress analyzer, which is connected to the detector, is used to record the power parameters of each line segment in the time domain dimension, determine the stress-induced time domain segment based on the change of the power parameters, analyze the stress received at the interface of the circuit segment within the stress-induced time domain segment, and determine the mechanical stress characteristics.

[0011] A line segment classifier, which is connected to the stress analyzer and is used to calculate the mechanical stress induced characterization value during the power transmission of the line segment based on the mechanical stress characteristics, so as to divide the mechanical stress induction tendency of the line segment;

[0012] A selection analyzer, which is connected to the line segment classifier and, in response to the classification result of the line segment classifier, is used to control the power generation end corresponding to the line segment to send a fluctuating current for verification, collect the power parameters of the line segment, determine the peak time of the fluctuating current, determine the dispersion of the power parameters corresponding to each peak time, and determine whether there is an abnormality in the line segment according to the dispersion;

[0013] A selection warning device, which is connected to the selection analyzer and is used to select and send a warning signal for the line segment with an abnormality.

[0014] Further, the mechanical stress analyzer determines the stress-induced time domain segment based on the change of the power parameters, including,

[0015] Used to determine the change amount of the power parameters in each time domain segment;

[0016] If there is a time domain segment in which the change amount of the corresponding power parameter is greater than the predetermined change amount, it is determined that the time domain segment is a stress-induced time domain segment;

[0017] Wherein, the power parameters are composed of voltage, current, frequency and impedance.

[0018] Further, the mechanical stress analyzer analyzes the stress received at the interface of the circuit segment in the stress-induced time domain segment, including,

[0019] Used to call the stress data in the corresponding stress-induced time domain segment;

[0020] 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.

[0021] Further, the line segment classifier calculates the mechanical stress induced characterization value during the power transmission of the line segment based on the mechanical stress characteristics, including,

[0022] Used to determine that the ratio of the stress change amplitude to the reference stress change amplitude is the stress change amplitude influence factor;

[0023] Used to determine that the ratio of the stress change rate to the reference stress change rate is the stress change rate influence factor;

[0024] Used to determine that the ratio of the stress difference to the reference stress difference is the stress difference influence factor;

[0025] The weighted sum value of the stress change amplitude influence factor, the stress change rate influence factor, and the stress difference influence factor is determined as the mechanical stress induced characterization value.

[0026] Further, the line segment classifier classifies the mechanical stress induced tendency of the line segment, where

[0027] if the mechanical stress induced characterization value is greater than the preset mechanical stress induced characterization value, the mechanical stress induced tendency is classified as a strong induced tendency;

[0028] if the mechanical stress induced characterization value is less than or equal to the preset mechanical stress induced characterization value, the mechanical stress induced tendency is classified as a weak induced tendency.

[0029] Further, when the classification result of the line segment classifier is a strong induced tendency, the selection analyzer controls the power generation end corresponding to the line segment to send a fluctuating current for verification, collects the power parameters of the line segment, determines the peak time of the fluctuating current, determines the dispersion of the power parameters corresponding to each peak time, and determines whether there is an abnormality in the line segment according to the dispersion.

[0030] Further, the selection analyzer determines the peak time of the fluctuating current, including

[0031] determining the current data of the fluctuating current;

[0032] constructing a current fluctuation curve based on the current data;

[0033] determining the time corresponding to the peak of the current fluctuation curve as the peak time.

[0034] Further, the selection analyzer determines the dispersion of the power parameters corresponding to each peak time, including

[0035] determining the power parameters corresponding to each peak time and the average value of the power parameters within the stress induced time domain;

[0036] determining the variance based on the power parameters and the average value of the power parameters;

[0037] determining the variance as the dispersion.

[0038] Further, the selection analyzer determines whether there is an abnormality in the line segment according to the dispersion, where

[0039] if the dispersion is greater than the reference dispersion threshold, it is determined that there is an abnormality in the line segment;

[0040] 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.

[0041] Further, the selection warning device selects a warning signal for a line segment with an anomaly and sends it to the maintenance station closest to the line segment.

[0042] 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 warning device. The detector includes an electric power parameter detection unit and a stress detection unit; the mechanical stress analyzer is used to determine a stress-induced time domain segment for stress analysis to determine mechanical stress characteristics; the line segment classifier is used to calculate a mechanical stress-induced characterization value based on the mechanical stress characteristics to divide the mechanical stress-induced tendency; the selection analyzer is used to control the power generation end corresponding to the line segment to send a fluctuating current for verification, collect the electric power parameters of the line segment, determine the peak time of the fluctuating current, determine the dispersion of the electric power parameters corresponding to each peak time, and determine whether the line segment has an anomaly; the selection warning device is used to select a warning signal for a line segment with an anomaly and send it. By determining and analyzing the mechanical stress characteristics of the distribution network, the present invention selects abnormal line segments and issues warnings, improving the efficiency and accuracy of selecting abnormal conductors, and improving the transmission efficiency and safety of the distribution network.

[0043] In particular, the present invention determines a stress-induced time domain segment based on the change of electric power parameters for stress analysis to determine mechanical stress characteristics, providing a data basis for calculating the mechanical stress-induced characterization value subsequently. In actual situations, when a sudden current passes through a line, it will cause abnormal fluctuations in the line. If not intervened in time, it will lead to major damage to the line. However, in the prior art, most interventions on the line occur after an accident, and at this time, many problems may have occurred in the line, such as equipment damage, fault expansion, extended power outage time, and difficult fault location. Based on this, the present invention determines the stress-induced time domain segment and performs stress analysis on the line segment in the stress-induced time domain segment to determine the mechanical stress characteristics of the line segment, improving the efficiency and accuracy of selecting abnormal conductors, and improving the transmission efficiency and safety of the distribution network.

[0044] 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 judgments on the abnormal tendency of the line segment are based on accident images or accident data, ignoring that when an anomaly occurs in the line segment, the stress inside the conductor changes. For example, the delamination stress between stranded conductors increases, the dynamic stress caused by the vibration of the conductor increases, and static stresses such as tension, bending stress, and radial extrusion stress increase, which are all specific manifestations of the anomaly in the line segment. Based on this, the present invention considers calculating the mechanical stress-induced characterization value according to the mechanical stress characteristics to divide the stress-induced tendency of the line segment to select abnormal line segments, improving the efficiency and accuracy of selecting abnormal conductors, and improving the transmission efficiency and safety of the distribution network.

[0045] In particular, the present invention determines the abnormality of a line segment for a line segment with a strong induction tendency, controls the power generation end corresponding to the line segment to send a fluctuating current, determines the peak time of the fluctuating current and the dispersion degree of the corresponding power parameters, so as to determine whether there is an abnormality in the line segment, and only verifies the line segment with a relatively high mechanical stress induction tendency, avoiding affecting the stability of other lines. In actual situations, when the fluctuating current passes through the line segment with a strong induction tendency, it is easy to induce stress in different regions of the line segment, resulting in deformation of the internal conductors of the line segment, and thus the power parameters at the peak are discrete in terms of data dimensions. Based on this, the present invention selects the abnormal line segment through the dispersion degree of the power parameters at the peak, and at the same time selects the warning signal for the abnormal line segment and sends it to the maintenance site, improving the efficiency and accuracy of selecting abnormal conductors, and improving the transmission efficiency and safety of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 FIG. is a schematic structural diagram of a distribution network conductor selection system based on data analysis according to an embodiment of the invention;

[0047] Figure 2 FIG. is a logic block diagram for dividing the mechanical stress induction tendency of the line segment according to an embodiment of the invention;

[0048] Figure 3 FIG. is a logic block diagram for determining whether there is an abnormality in the line segment according to an embodiment of the invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] In order to make the objectives and advantages of the present invention clearer, the present invention will be 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.

[0050] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0051] It should be noted that in the description of the present invention, unless otherwise clearly defined 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside 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 situations.

[0052] Please refer to Figure 1 , Figure 1Schematic diagram of the structure of a distribution network wire selection system based on data analysis according to an invention embodiment. A distribution network wire selection system based on data analysis according to the present invention includes:

[0053] A detector, which includes a power parameter detection unit arranged at each transmission node of the distribution network for detecting the power parameters of each line segment and a stress detection unit for detecting the stress received at the interface of the line segment;

[0054] A mechanical stress analyzer, which is connected to the detector, is used to record the power parameters of each line segment in the time domain dimension, determine the stress-induced time domain segment based on the change of the power parameters, analyze the stress received at the interface of the circuit segment within the stress-induced time domain segment, and determine the mechanical stress characteristics;

[0055] A line segment classifier, which is connected to the stress analyzer, is used to calculate the mechanical stress-induced characterization value during the power transmission of the line segment based on the mechanical stress characteristics, so as to divide the mechanical stress-induced tendency of the line segment;

[0056] A selection analyzer, which is connected to the line segment classifier, in response to the division result of the line segment classifier, is used to control the corresponding power generation end of the line segment to send a fluctuating current for verification, collect the power parameters of the line segment, determine the peak time of the fluctuating current, determine the dispersion of the power parameters corresponding to each peak time, and determine whether there is an abnormality in the line segment according to the dispersion;

[0057] A selection warning device, which is connected to the selection analyzer, is used to select and send a warning signal for the line segment with an abnormality.

[0058] Specifically, the specific structure of the power parameter detection unit is not limited. For example, it can be a multi-sensor joint detection system, as long as it can measure the power parameters of each line segment. This is the prior art and will not be elaborated here.

[0059] Specifically, the specific structure of the stress detection unit is not limited. For example, it can be a tensile sensor. The tensile sensor is arranged at the interface of the corresponding line segment of the cable to detect the tensile force at the interface of the line segment. Of course, other methods can also be used, which will not be elaborated here.

[0060] It can be understood that when the current in the line suddenly increases, according to the Ampere force calculation formula, the electromagnetic force received by the conductor in the magnetic field will increase sharply. This electromagnetic force will cause the line to generate an outward expansion force or a repulsive force between each other, thereby increasing the mechanical stress of the line, resulting in an abnormality in the line and affecting the conduction of the current.

[0061] It can be understood that the Ampere force is the product of the magnetic field strength, current, and conductor length.

[0062] Specifically, when the fluctuating current used for verification encounters an abnormal point in the circuit, reflection will occur. Different types of abnormal points reflect different intensities. By analyzing the propagation time and reflection characteristics of the fluctuating current in the circuit, the specific abnormal point can be determined to more accurately judge the abnormality of the circuit segment, which will not be elaborated here.

[0063] Specifically, the warning signals selected in the warning device can be visual warning, auditory warning, and comprehensive warning. Those skilled in the art can determine the warning signals according to the actual situation, which will not be elaborated here.

[0064] Specifically, the mechanical stress analyzer determines the stress-induced time domain segment based on the change of power parameters, including,

[0065] To determine the change amount of the power parameters in each time domain segment;

[0066] If there is a time domain segment in which the change amount of the corresponding power parameter is greater than the predetermined change amount, then it is determined that the time domain segment is a stress-induced time domain segment;

[0067] Wherein, the power parameters are composed of voltage, current, frequency, and impedance.

[0068] It can be understood that the change amount of the power parameter here is the change amount of any one of voltage, current, frequency, and impedance, that is, if any one of the change amounts is greater than the corresponding predetermined change amount, then it is determined that the time domain segment is a stress-induced time domain segment.

[0069] In implementation, different predetermined change amounts are respectively set for voltage, current, frequency, and impedance. Among them, the predetermined change amount of voltage is selected between 0.25 times and 0.5 times of the historical average voltage, the predetermined change amount of current is selected between 0.25 times and 0.5 times of the historical average current, the predetermined change amount of frequency is selected between 0.15 times and 0.3 times of the historical average frequency, and the predetermined change amount of impedance is selected between 0.15 times and 0.3 times of the historical average impedance.

[0070] Specifically, the mechanical stress analyzer analyzes the stress received at the interface of the circuit segment within the stress-induced time domain segment, including,

[0071] To call the stress data within the corresponding stress-induced time domain segment;

[0072] To calculate the stress change amplitude, stress change rate, and stress difference at both ends of the circuit segment to obtain the mechanical stress characteristics.

[0073] Specifically, the present invention determines the stress-induced time domain segment based on the change of power parameters for stress analysis to determine the mechanical stress characteristics, providing a data basis for calculating the mechanical stress-induced characterization value subsequently. In actual situations, when a sudden current passes through a line, it will cause abnormal fluctuations in the line. If not intervened in time, it will lead to significant damage to the line. However, in the prior art, most interventions on the line occur after an accident, at which time many problems may have occurred to the line, 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-induced time domain segment and performs stress analysis on the line segment in the stress-induced time domain segment to determine the mechanical stress characteristics of the line segment, improving the efficiency and accuracy of abnormal conductor selection and enhancing the transmission efficiency and safety of the distribution network.

[0074] Specifically, the line segment classifier calculates the mechanical stress-induced characterization value during the power transmission process of the line segment based on the mechanical stress characteristics, including,

[0075] To determine that the ratio of the stress change amplitude to the reference stress change amplitude is the stress change amplitude influence factor;

[0076] To determine that the ratio of the stress change rate to the reference stress change rate is the stress change rate influence factor;

[0077] To determine that the ratio of the stress difference to the reference stress difference is the stress difference influence factor;

[0078] To determine that the weighted sum value of the stress change amplitude influence factor, the stress change rate influence factor, and the stress difference influence factor is the mechanical stress-induced characterization value.

[0079] Specifically, the reference stress change amplitude is calculated in advance. A number of stress change amplitudes in the normal state are obtained in advance, the average value of the stress change amplitudes in the normal state is determined, and the reference stress change amplitude is set as the product of the average value of the stress change amplitudes and the stress change amplitude precision coefficient. The stress change amplitude precision coefficient is selected within the range of [1.25, 1.5].

[0080] Specifically, the reference stress change rate is calculated in advance. A number of stress change rates in the normal state are obtained in advance, the average value of the stress change rates in the normal state is determined, and the reference stress change rate is set as the product of the average value of the stress change rates and the stress change rate precision coefficient. The stress change rate precision coefficient is selected within the range of [1.15, 1.3].

[0081] Specifically, the reference stress difference is pre-calculated. A number of stress differences in the normal state are obtained in advance, and the average value of the stress differences in the normal state is determined. The reference stress difference is set as the product of the average value of the stress differences and the stress difference precision coefficient, and the stress difference precision coefficient is selected within the range of [1.05, 1.15].

[0082] Specifically, the sum of the weight coefficients of the stress change amplitude influence factor, the stress change rate influence factor, and the stress difference influence factor is 1. The weight coefficient of the stress change amplitude influence factor is 0.33, the weight coefficient of the stress change rate influence factor is 0.34, and the weight coefficient of the stress difference influence factor is 0.33

[0083] Please refer to Figure 2 , Figure 2 which is a logic block diagram for dividing the mechanical stress induction tendency of the line segment in the invention embodiment. Specifically, the line segment classifier divides the mechanical stress induction tendency of the line segment, where

[0084] if the mechanical stress induction characterization value is greater than the preset mechanical stress induction characterization value, the mechanical stress induction tendency is divided into a strong induction tendency;

[0085] if the mechanical stress induction characterization value is less than or equal to the preset mechanical stress induction characterization value, the mechanical stress induction tendency is divided into a weak induction tendency.

[0086] Specifically, the preset mechanical stress induction characterization value is selected within the range of [0.85, 0.95].

[0087] Specifically, the present invention calculates the mechanical stress induction characterization value to divide the mechanical stress induction tendency of the line segment. In actual situations, the abnormal tendency of the line segment is mostly judged based on accident images or accident data, ignoring that when an abnormality occurs in the line segment, the stress inside the wire changes. For example, the delamination stress between stranded wires increases, the dynamic stress caused by the vibration of the wire increases, and the static stresses such as tension, bending stress, and radial extrusion stress increase, which are all specific manifestations of the abnormality of the line segment. Based on this, the present invention considers calculating the mechanical stress induction characterization value according to the mechanical stress characteristics, dividing the stress induction tendency of the line segment, so as to select the abnormal line segment, improving the efficiency and accuracy of the selection of abnormal wires, and improving the transmission efficiency and safety of the distribution network.

[0088] Specifically, when the selection analyzer responds that the division result of the line segment classifier is a strong induction tendency, it controls the power generation end corresponding to 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 dispersion of the power parameters corresponding to each peak moment, and determines whether there is an abnormality in the line segment based on the dispersion.

[0089] Specifically, the selection analyzer determines the peak moment of the fluctuating current, including,

[0090] the current data used to determine the fluctuating current;

[0091] the current fluctuation curve constructed based on the current data;

[0092] the moment corresponding to the peak of the current fluctuation curve is determined as the peak moment.

[0093] 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, which is an existing technology and will not be elaborated here.

[0094] Specifically, the selection analyzer determines the dispersion of the power parameters corresponding to each peak moment, including,

[0095] the power parameters corresponding to each peak moment and the average value of the power parameters within the stress-induced time domain section corresponding thereto are determined;

[0096] the variance is determined based on the power parameters and the average value of the power parameters;

[0097] the variance is determined as the dispersion.

[0098] Specifically, the process of determining the variance for the power parameters is as follows:

[0099] the difference between each power parameter and the average value of the corresponding power parameter is determined;

[0100] each difference is squared to obtain a number of squared differences, so as to eliminate the positive and negative nature of the differences and amplify the differences between the differences;

[0101] the average value of the number of squared differences is determined as the variance.

[0102] Please refer to Figure 3 , Figure 3 , which is the logic block diagram for determining whether there is an abnormality in the determination line segment of the invention embodiment. Specifically, the selection analyzer determines whether there is an abnormality in the line segment based on the dispersion, where,

[0103] if the dispersion is greater than the reference dispersion threshold, it is determined that there is an abnormality in the line segment;

[0104] 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.

[0105] Specifically, the reference dispersion threshold is pre-calculated. Among them, the dispersions of a number of normal line segments for power parameters are obtained in advance, and the reference dispersion threshold is set to be between 0.45 times and 0.75 times the average dispersion of the normal line segments.

[0106] Specifically, the warning device selects the warning signal for the line segment with anomalies and sends it to the maintenance site closest to the line segment.

[0107] Specifically, the distance is the straight-line distance, which will not be elaborated here.

[0108] Specifically, the present invention determines the anomalies of the line segments with strong induction tendencies, controls the corresponding power generation ends of the line segments to send fluctuating currents, determines the peak moments of the fluctuating currents and the dispersions of the corresponding power parameters, so as to determine whether there are anomalies in the line segments. Only the line segments with relatively high mechanical stress induction tendencies are verified to avoid affecting the stability of other lines. In actual situations, when the fluctuating current passes through the line segments with strong induction tendencies, it is easy to induce stresses in different regions of the line segments, resulting in deformations of the internal conductors of the line segments. Furthermore, in terms of data dimensions, it is manifested as the dispersion of the power parameters at the peak. Based on this, the present invention selects the abnormal line segments through the dispersion of the power parameters at the peak, and at the same time selects the warning signals for the abnormal line segments and sends them to the maintenance sites, improving the efficiency and accuracy of selecting abnormal conductors, and improving the transmission efficiency and safety of the distribution network.

[0109] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the 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 all fall within the protection scope of the present invention.

[0110] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, 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 Including: A detector, which includes a power parameter detection unit arranged at each transmission node of the distribution network for detecting the power parameters of each line segment and a stress detection unit for detecting the stress received at the interface of the line segment; A mechanical stress analyzer, which is connected to the detector, used to record the power parameters of each line segment in the time domain dimension, determine the stress-induced time domain segment based on the change of the power parameters, analyze the stress received at the interface of the circuit segment within the stress-induced time domain segment, and determine the mechanical stress characteristics; A line segment classifier, which is connected to the stress analyzer, used to calculate the mechanical stress-induced characterization value during the power transmission of the line segment based on the mechanical stress characteristics, so as to divide the mechanical stress-induced tendency of the line segment; A selection analyzer, which is connected to the line segment classifier, in response to the division result of the line segment classifier, used to control the line segment to send a fluctuating current for verification to the corresponding power generation end, collect the power parameters of the line segment, determine the peak time of the fluctuating current, determine the dispersion of the power parameters corresponding to each peak time, and determine whether the line segment is abnormal according to the dispersion; A selection warning device, which is connected to the selection analyzer, used to select and send a warning signal for the line segment with abnormalities.

2. The system for selecting distribution network conductors based on data analysis according to claim 1, wherein The mechanical stress analyzer determines the stress-induced time domain segment based on the change of the power parameters, including, Used to determine the change amount of the power parameters in each time domain segment; If there is a time domain segment whose change amount of the corresponding power parameter is greater than the predetermined change amount, then determine that the time domain segment is the stress-induced time domain segment; Wherein, the power parameters are composed of voltage, current, frequency and impedance.

3. The system for selecting distribution network conductors based on data analysis according to claim 1, wherein The mechanical stress analyzer analyzes the stress received at the interface of the circuit segment within the stress-induced time domain segment, Including, Used to call the stress data within the corresponding stress-induced time domain segment; 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 wire selection system for a distribution network based on data analysis according to claim 1, characterized in that The line segment classifier calculates the mechanical stress-induced characterization value during the power transmission of the line segment based on the mechanical stress characteristics, including, Used to determine that the ratio of the stress change amplitude to the reference stress change amplitude is the stress change amplitude influence factor; Used to determine that the ratio of the stress change rate to the reference stress change rate is the stress change rate influence factor; Used to determine that the ratio of the stress difference to the reference stress difference is the stress difference influence factor; Used to determine that the weighted sum value of the stress change amplitude influence factor, stress change rate influence factor and stress difference influence factor is the mechanical stress-induced characterization value.

5. The wire selection system for a distribution network based on data analysis according to claim 1, wherein, The line segment classifier divides the mechanical stress-induced tendency of the line segment, wherein, If the mechanical stress-induced characterization value is greater than the preset mechanical stress-induced characterization value, then divide the mechanical stress-induced tendency into a strong-induced tendency; If the mechanical stress-induced characterization value is less than or equal to the preset mechanical stress-induced characterization value, then divide the mechanical stress-induced tendency into a weak-induced tendency.

6. The system for selecting distribution network conductors based on data analysis according to claim 1, wherein When the selection analyzer responds that the division result of the line segment classifier is a strong induction tendency, it controls the power generation end corresponding to 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 dispersion of the power parameters corresponding to each peak moment, and determines whether there is an abnormality in the line segment according to the dispersion.

7. The system for selecting distribution network conductors based on data analysis according to claim 1, wherein The selection analyzer determines the peak moment of the fluctuating current, including the current data used to determine the fluctuating current; constructing a current fluctuation curve based on the current data; determining the moment corresponding to the peak of the current fluctuation curve as the peak moment.

8. The system for selecting distribution network conductors based on data analysis according to claim 1, wherein The selection analyzer determines the dispersion of the power parameters corresponding to each peak moment, including determining the power parameters corresponding to each peak moment and the average value of the power parameters within the stress induction time domain; determining the variance based on the power parameters and the average value of the power parameters; determining the variance as the dispersion.

9. The system for selecting distribution network conductors based on data analysis according to claim 1, wherein The selection analyzer determines whether there is an abnormality in the line segment according to the dispersion, where if the dispersion is greater than the reference dispersion 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 system for selecting distribution network conductors based on data analysis according to claim 1, characterized in that The selection warning device selects a warning signal for the line segment with an abnormality and sends it to the maintenance site closest to the line segment.

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