A power line fault early warning and maintenance monitoring system

Abstract

The invention discloses a power line fault early warning operation and maintenance monitoring system, which relates to the technical field of line fault determination, and solves the problem that the original early warning determination method is prone to errors and the monitoring is not comprehensive. The invention determines the abnormal conditions and abnormal moments of the related abnormal lines and other abnormal lines for the determined abnormal lines, and confirms whether the time difference of the numerical changes between the abnormal moments is small. If such a situation exists, the relevant numerical analysis of the source node is performed to determine whether the source node is abnormal. If the situation of small time difference does not exist, the relevant changes of the related nodes in the line are identified to evaluate whether the numerical changes between the nodes are the same so as to determine the abnormal nodes. Finally, the determined abnormal nodes are relatedly displayed. This line fault early warning monitoring method has better monitoring effect and better effect, and can achieve better monitoring and processing effect.

Description

Technical Field

[0001] The present invention relates to the technical field of line fault determination, and in particular to a power line fault early warning operation and maintenance monitoring system. Background Art

[0002] Power lines refer to the lines used to transmit electric energy between power plants, substations and power users. It is an important part of the power supply system and is responsible for the transmission and distribution of electric energy.

[0003] The application with announcement number CN117391459B discloses a power operation risk warning method and system based on deep learning, which can more accurately predict and warn the operation risks of power lines and improve the reliability and stability of the power system; the method includes: using the meteorological warning platform to obtain meteorological data within the future monitoring time window of the area where the monitored power lines are located; the monitoring time window represents the time period between the start timestamp and the end timestamp of the power operation risk warning; extracting key parameters of the meteorological data within the monitoring time window to obtain a set of power operation risk inducement parameters; setting a set of power line fault types according to the historical operation and maintenance fault records of the power grid; performing correlation analysis on the set of power operation risk inducement parameters and various fault types in the set of power line fault types to obtain the meteorological fault correlation.

[0004] When monitoring and determining abnormalities of existing power lines, the power data generated by the corresponding power lines is generally compared with preset related intervals to identify whether there is abnormal data and determine the abnormal lines. However, this method has related errors in the determination results. First, each power line corresponds to a different power user group, and different power user groups correspond to different power usage characteristics. Therefore, the related standard intervals used are not consistent. When making related determinations, it is easy to make determination errors, and the monitoring and early warning methods are not comprehensive. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a power line fault early warning operation and maintenance monitoring system, which solves the problem that the original early warning determination method is prone to errors and the monitoring is not comprehensive.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a power line fault early warning operation and maintenance monitoring system, comprising:

[0007] Line current monitoring terminal, monitoring the line current of different power lines;

[0008] The associated interval analysis end performs interval analysis on the line currents of different power lines, determines the standard current interval of the corresponding power line based on the fluctuation state of the current value, and transmits the determined standard current interval to the value determination end, specifically in the following manner:

[0009] Based on the current moment, the time is traced back to the source, and the time length of the traced source is T, where T is the preset value;

[0010] The line currents corresponding to different moments of a single group of power lines within the time length are confirmed one by one, and according to the specific trend of time, a line current variation curve of the power line within the time length is generated, and the horizontal coordinate of the line current variation curve is the time line, and the vertical coordinate is the power value, which is located in a set of two-dimensional coordinate systems;

[0011] Confirm the minimum current value Dmin and the maximum current value Dmax of the line current variation curve, and construct a set of moving ranges based on the preset value Y1, wherein the range value of the moving range is gradually moved from [Dmin, Dmin+Y1] to [Dmax-Y1, Dmax], and sequentially record the total length Zs of the line segments of this curve belonging to this range value in each moving process, and select a set of maximum values ​​from the total lengths Zs of different line segments corresponding to several different moving processes, and use the range value corresponding to this maximum value as the standard current interval of this power line segment;

[0012] Then, the standard current intervals of other different power lines are confirmed one by one in the same manner, and the confirmed standard current intervals are transmitted to the value determination terminal;

[0013] The value determination end, based on the power value monitored by the power line at the current moment, performs correlation verification on such power value and the standard current range determined by the power line, and determines the abnormal line based on the verification result, specifically in the following manner:

[0014] The power values ​​monitored by different power lines are calibrated as D i , where i represents different power lines, and the power value D monitored by the corresponding power line i Compare with the corresponding standard current range:

[0015] When D i ∈ standard current interval, no processing is performed;

[0016] when In the standard current range, such power values ​​are calibrated as abnormal values, and the relevant duration SS of the abnormal values ​​is recorded. If SS>Y2, where Y2 is a preset value, the power line is calibrated as an abnormal line. If SS≤Y2, monitoring continues without marking any abnormal lines.

[0017] Preferably, it also includes:

[0018] The source node numerical analysis end, based on the determined abnormal lines, identifies the number of abnormal lines and whether the phase difference time meets the standard. If it meets the standard, the power data of the source nodes of several groups of abnormal lines are analyzed to confirm whether the source nodes are abnormal. If it does not meet the standard, the associated node numerical analysis end is executed to analyze the power data of the associated nodes. The specific method is as follows:

[0019] Based on the first group of abnormal lines determined among the groups of lines, the determination time t1 is locked, and it is identified whether the second group of abnormal lines appears within the time period (t1+X1):

[0020] If it does, record the determination time t2 of the second group of abnormal lines, and then identify whether the third group of abnormal lines appears within the time period (t2+X1), where X1 is a preset value:

[0021] If it occurs, the source nodes of several groups of abnormal lines are confirmed based on the power transmission direction;

[0022] If the second group of abnormal lines does not appear in the period (t1+X1) or the third group of abnormal lines does not appear in the period (t2+X1), the associated node numerical analysis end is executed;

[0023] Confirm the power data of the source node in the time period from t1 to t3, where t3 is the determined time t3 of the third group of abnormal lines, identify whether the power data is in a declining state in this time period, if in a declining state, determine the power difference Dc between the maximum power and the minimum power in the power data, and confirm the duration Sc of the time period from t1 to t3, lock Zc=Dc÷Sc to determine the relevant evaluation value Zc of the unit duration, if Zc>Y3, where Y3 is a preset value, generate a source node data abnormal signal and display it through the display end, if Zc≤Y3 and its power data is not in a declining state in this time period, it means that the source node data is not abnormal, and execute the associated node numerical analysis end.

[0024] Preferably, the associated node numerical analysis terminal monitors the power data of the power nodes associated with the abnormal line based on the confirmed abnormal line, and determines the abnormal node based on the monitoring result, and displays the confirmed abnormal node by displaying it; the specific method is:

[0025] The power nodes associated with the abnormal line are confirmed one by one, and the power nodes with power flow are marked as similar associated nodes;

[0026] Determine a set of monitoring periods ZT, where ZT is a preset value, confirm the power data of the same type of associated nodes within this monitoring period ZT, and confirm the power fluctuation curve of the corresponding associated nodes;

[0027] Identify whether two sets of power fluctuation curves have the same trend in the same period. If they have the same trend, no calibration is performed. If they have different trends, the corresponding line segments are calibrated as different line segments.

[0028] Based on the determined different line segments, determine the line segment ratio of the different line segments in the corresponding relevant power fluctuation curve, where the line segment ratio = the total length of the different line segments ÷ the total length of the power fluctuation curve. If the line segment ratio is greater than Y4, where Y4 is a preset value, the power node is marked as an abnormal node.

[0029] The marked abnormal nodes are displayed through the display terminal;

[0030] When the line segment ratio is ≤Y4, no power node calibration is performed.

[0031] The present invention provides a power line fault early warning operation and maintenance monitoring system. Compared with the prior art, it has the following beneficial effects:

[0032] The present invention determines the current standard range of the power line by analyzing the power consumption habits of the power line, and then determines the abnormal value based on the current standard range, and determines the abnormal line. This determination method is more accurate and has higher precision, and can achieve a better abnormal line determination effect;

[0033] Subsequently, for the determined abnormal lines, determine the abnormal conditions and abnormal times of the related abnormal lines and other abnormal lines, and confirm whether the time difference between the numerical changes at the abnormal times is small. If such a situation exists, perform relevant numerical analysis of the source node to determine whether the source node is abnormal. If there is no small time difference, identify the relevant changes of the related nodes in this line to assess whether the numerical changes between the nodes are the same, so as to determine the abnormal nodes. Finally, the determined abnormal nodes are displayed. This method of line fault early warning monitoring produces better monitoring effects and better results, and can achieve better monitoring and processing effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0036] Example 1

[0037] See also Figure 1 , the present application provides a power line fault early warning operation and maintenance monitoring system, including a line current monitoring terminal, an associated interval analysis terminal, a numerical determination terminal, a source node numerical analysis terminal, an associated node numerical analysis terminal and a display terminal;

[0038] The line current monitoring terminal is electrically connected to the associated interval analysis terminal and the value determination terminal input node respectively, and the associated interval analysis terminal is electrically connected to the value determination terminal input node, and the value determination terminal is electrically connected to the source node value analysis terminal or the associated node value analysis terminal input node respectively, and the source node value analysis terminal or the associated node value analysis terminal is electrically connected to the display terminal input node;

[0039] The line current monitoring terminal monitors the line currents of different power lines and transmits the line currents of different power lines monitored in real time to the associated interval analysis terminal or the value determination terminal;

[0040] The associated interval analysis end performs interval analysis on the line currents of different power lines, determines the standard current interval of the corresponding power line based on the fluctuation state of the current value, and transmits the determined standard current interval to the value determination end. The specific method of determining the associated current interval is:

[0041] Based on the current moment, the time is traced back to the source. The time length of the traceback is T, and T is a preset value. The specific value is determined by the operator based on experience.

[0042] The line currents corresponding to different moments of a single group of power lines within the time length are confirmed one by one, and according to the specific trend of time, a line current variation curve of the power line within the time length is generated, and the horizontal coordinate of the line current variation curve is the time line, and the vertical coordinate is the power value, which is located in a set of two-dimensional coordinate systems;

[0043] Confirm the minimum current value Dmin and the maximum current value Dmax of the line current variation curve, based on the preset value Y1, where Y1 can be understood as a set of range values, and its specific value is determined by the operator based on experience, and construct a set of moving ranges, the range value of which moves step by step from [Dmin, Dmin+Y1] to [Dmax-Y1, Dmax], and record the total length Zs of the line segment of this curve belonging to this range value in each moving process, and select a set of maximum values ​​from the total lengths Zs of different line segments corresponding to several different moving processes, and use the range value corresponding to this maximum value as the standard current interval of this power line segment;

[0044] Then, the standard current intervals of other different power lines are confirmed one by one in the same manner, and the confirmed standard current intervals are transmitted to the value determination terminal;

[0045] Specifically, because different power lines have different power consumption characteristics, it is not standard to evaluate whether the monitored current is abnormal based on the originally proposed standard current range. However, this evaluation method is not accurate and comprehensive. Therefore, different current standard ranges need to be determined for each different power line. The best way to determine the corresponding current standard range of the relevant power line is to conduct relevant evaluation based on the past power values ​​of the corresponding power line.

[0046] Based on the way the corresponding interval range changes, the value range with the most corresponding line clusters can be identified. Then this value range is the power consumption characteristic of this type of power line. Based on this power consumption characteristic, the corresponding standard current interval can be confirmed to ensure the accuracy of subsequent current value judgment.

[0047] Example 2

[0048] In the specific implementation process of this embodiment, compared with the above-mentioned embodiment, in the specific implementation process of this embodiment, the relevant determination process of abnormal values ​​is mainly aimed at, and the relevant execution is specifically performed by the value determination end;

[0049] The value determination end, based on the power value monitored by the power line at the current moment, performs correlation verification on such power value and the standard current range determined by the power line, and determines the abnormal line based on the verification result, wherein the specific method of determining the abnormal line is:

[0050] The power values ​​monitored by different power lines are calibrated as D i , where i represents different power lines, and the power value D monitored by the corresponding power line i Compare with the corresponding standard current range:

[0051] When D i ∈ standard current interval, no processing is performed;

[0052] when When such power values ​​are marked as abnormal values, the relevant duration SS of the abnormal values ​​is recorded (that is, after the corresponding power values ​​are marked as abnormal values, abnormal values ​​still appear within a certain period of time, and the abnormal values ​​continue to appear, which corresponds to the relevant duration). If SS>Y2, where Y2 is a preset value, and its specific value is determined by the operator based on experience, then this power line is marked as an abnormal line. If SS≤Y2, the monitoring continues without marking any abnormal lines.

[0053] Specifically, when numerical fluctuations occur, the corresponding fluctuating values ​​are also easily evaluated as abnormal values. If the abnormal lines corresponding to the abnormal values ​​are simply identified, it is not comprehensive enough. Therefore, it is necessary to determine the duration of the corresponding abnormal values ​​and the relevant evaluation of the abnormal lines based on the confirmed duration to determine the abnormal lines.

[0054] Example 3

[0055] The source node numerical analysis end, based on the determined abnormal lines, identifies the number of abnormal lines and whether the phase difference time meets the standard. If the standard is met, the power data of the source nodes of several groups of abnormal lines are analyzed to confirm whether the source nodes are abnormal. If the standard is not met, the associated node numerical analysis end is executed to analyze the power data of the associated nodes. The specific method of identification is as follows:

[0056] Based on the first group of abnormal lines determined among the groups of lines, the determination time t1 is locked, and it is identified whether the second group of abnormal lines appears within the time period (t1+X1):

[0057] If it does, record the determination time t2 of the second group of abnormal lines, and then identify whether the third group of abnormal lines appears within the period (t2+X1), where X1 is a preset value, and its specific value is determined by the operator based on experience:

[0058] If it occurs, the source nodes of several groups of abnormal lines are confirmed based on the power transmission direction;

[0059] If the second group of abnormal lines does not appear in the period (t1+X1) or the third group of abnormal lines does not appear in the period (t2+X1), the associated node numerical analysis end is executed;

[0060] Confirm the power data of the source node in the time period from t1 to t3, where t3 is the determination time t3 of the third group of abnormal lines, identify whether the power data is in a declining state in this time period (that is, confirm the power data D1 at the time t1, and then confirm the power data D2 at the time t3. If D1>D2, it means that the power data is in a declining state, otherwise, it means that the power data is not in a declining state). If it is in a declining state, determine the power difference Dc between the maximum power and the minimum power in the power data, and confirm the duration Sc of the time period from t1 to t3, lock Zc=Dc÷Sc to determine the relevant evaluation value Zc of the unit duration, if Zc>Y3, where Y3 is a preset value, its specific value is determined by the operator based on experience, generate a source node data abnormal signal, and display it through the display end. If Zc≤Y3 and its power data is not in a declining state in this time period, it means that the source node data is not abnormal, and execute the associated node numerical analysis end;

[0061] Specifically, after the abnormal lines are identified, if three groups of abnormal lines appear consecutively within the relevant timeline and the time difference between each group of abnormal lines is relatively short, then the source node representing the abnormal lines may have problems. Therefore, in order to confirm whether there are relevant problems with the data associated with the source node and trace the source node, the total nodes of several lines can be locked according to the power direction of each group of lines. Based on the changes in the power values ​​of the total nodes, it can be determined whether there are relevant abnormalities in the power data of the source node, and relevant confirmation and signal display can be performed, which is convenient for operators to understand such problems in a timely manner and take timely countermeasures.

[0062] The associated node numerical analysis terminal monitors the power data of the power nodes associated with the abnormal line based on the confirmed abnormal line, determines the abnormal node based on the monitoring result, and displays the confirmed abnormal node by displaying it. The specific method of determining the abnormal node is:

[0063] The power nodes associated with the abnormal line are confirmed one by one, and the power nodes with power flow are marked as similar associated nodes;

[0064] Determine a set of monitoring periods ZT, where ZT is a preset value, and its specific value is determined by the operator based on experience, confirm the power data of the same type of associated nodes within this monitoring period ZT, and confirm the power fluctuation curve of the corresponding associated nodes;

[0065] Identify whether the two sets of power fluctuation curves have the same trend in the same period. If they have the same trend, no calibration is performed. If they have different trends, the corresponding line segments are calibrated as different line segments. Specifically, the so-called same trend means that the power data in the same period are all climbing or falling, which means that their trends are the same. When the data curves of the two curves have opposite trends in the same period, the relevant different line segments are calibrated.

[0066] Based on the determined different line segments, confirm the line segment ratio of the different line segments in the corresponding relevant power fluctuation curve, and the line segment ratio = the total length of the different line segments ÷ the total length of the power fluctuation curve. If the line segment ratio is greater than Y4, where Y4 is a preset value, and its specific value is determined by the operator based on experience, then this power node is calibrated as an abnormal node. Otherwise, no power node is calibrated;

[0067] The marked abnormal nodes are displayed through the display terminal for external relevant personnel to view;

[0068] Specifically, based on the confirmed abnormal lines, in order to identify their specific abnormal characteristics, the relevant time differences are confirmed from the abnormal lines. If the time differences are relatively close, it means that there may be a unified abnormal problem between the abnormal lines, and the abnormality is likely to originate from the corresponding source node. Therefore, the power data of the source node is analyzed to confirm whether there are relevant abnormalities in the power data of the source node, and it is displayed in time;

[0069] When the time difference is not close, the power data of the power nodes of each abnormal line are analyzed. Based on the data analysis results of the corresponding power nodes, it is confirmed whether the power value changes between the same nodes are consistent. If they are consistent, there is no abnormality between the data. If they are not consistent, it means that there is an abnormality in the power values ​​between the two nodes. Therefore, the relevant abnormal nodes are locked and displayed to facilitate management by operators and timely response measures. This processing method can fully guarantee the overall monitoring effect.

[0070] Example 4

[0071] The specific implementation process of this embodiment includes all the implementation processes of the above three groups of embodiments.

[0072] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0073] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A power line fault early warning operation and maintenance monitoring system, characterized in that: include: Line current monitoring terminal, monitoring the line current of different power lines; The associated interval analysis end performs interval analysis on the line currents of different power lines, determines the standard current interval of the corresponding power line based on the fluctuation state of the current value, and transmits the determined standard current interval to the value determination end, specifically in the following manner: Based on the current moment, the time is traced back to the source, and the time length of the traced source is T, where T is the preset value; The line currents corresponding to different moments of a single group of power lines within the time length are confirmed one by one, and according to the specific trend of time, a line current variation curve of the power line within the time length is generated, and the horizontal coordinate of the line current variation curve is the time line, and the vertical coordinate is the power value, which is located in a set of two-dimensional coordinate systems; Confirm the minimum current value Dmin and the maximum current value Dmax of the line current variation curve, and construct a set of moving ranges based on the preset value Y1, wherein the range value of the moving range is gradually moved from [Dmin, Dmin+Y1] to [Dmax-Y1, Dmax], and sequentially record the total length Zs of the line segments of this curve belonging to this range value in each moving process, and select a set of maximum values ​​from the total lengths Zs of different line segments corresponding to several different moving processes, and use the range value corresponding to this maximum value as the standard current interval of this power line segment; Then, the standard current intervals of other different power lines are confirmed one by one in the same manner, and the confirmed standard current intervals are transmitted to the value determination terminal; The value determination end, based on the power value monitored by the power line at the current moment, compares such power value with the standard current range determined by the power line, and determines the abnormal line based on the comparison result.

2. A power line fault early warning operation and maintenance monitoring system according to claim 1, characterized in that: The specific method of determining the abnormal line at the numerical determination end is: The power values ​​monitored by different power lines are calibrated as D i , where i represents different power lines, and the power value D monitored by the corresponding power line i Compare with the corresponding standard current range: When D i ∈ standard current interval, no processing is performed; when In the standard current range, such power values ​​are calibrated as abnormal values, and the relevant duration SS of the abnormal values ​​is recorded. If SS>Y2, where Y2 is a preset value, the power line is calibrated as an abnormal line. If SS≤Y2, monitoring continues without marking any abnormal lines.

3. The power line fault early warning operation and maintenance monitoring system according to claim 1, characterized in that: Also includes: The source node numerical analysis end, based on the determined abnormal lines, identifies the number of abnormal lines and whether the phase difference time meets the standard. If so, the power data of the source nodes of several groups of abnormal lines are analyzed to confirm whether the source nodes are abnormal. If not, the associated node numerical analysis end executes the power data analysis of the associated nodes.

4. A power line fault early warning operation and maintenance monitoring system according to claim 3, characterized in that: The specific method of identifying the source node numerical analysis end is as follows: Based on the first group of abnormal lines determined among the groups of lines, the determination time t1 is locked, and it is identified whether the second group of abnormal lines appears within the time period (t1+X1): If it does, record the determination time t2 of the second group of abnormal lines, and then identify whether the third group of abnormal lines appears within the time period (t2+X1), where X1 is a preset value: If it occurs, the source nodes of several groups of abnormal lines are confirmed based on the power transmission direction; If the second group of abnormal lines does not appear in the period (t1+X1) or the third group of abnormal lines does not appear in the period (t2+X1), the associated node numerical analysis end is executed; Confirm the power data of the source node in the time period from t1 to t3, where t3 is the determined time t3 of the third group of abnormal lines, identify whether the power data is in a declining state in this time period, if in a declining state, determine the power difference Dc between the maximum power and the minimum power in the power data, and confirm the duration Sc of the time period from t1 to t3, lock Zc=Dc÷Sc to determine the relevant evaluation value Zc of the unit duration, if Zc>Y3, where Y3 is a preset value, generate a source node data abnormal signal and display it through the display end, if Zc≤Y3 and its power data is not in a declining state in this time period, it means that the source node data is not abnormal, and execute the associated node numerical analysis end.

5. A power line fault early warning operation and maintenance monitoring system according to claim 4, characterized in that: The associated node numerical analysis terminal monitors the power data of the power nodes associated with the abnormal line based on the confirmed abnormal line, determines the abnormal node based on the monitoring result, and displays the confirmed abnormal node through a display.

6. A power line fault early warning operation and maintenance monitoring system according to claim 5, characterized in that: The specific method of determining abnormal nodes at the associated node numerical analysis end is: The power nodes associated with the abnormal line are confirmed one by one, and the power nodes with power flow are marked as similar associated nodes; Determine a set of monitoring periods ZT, where ZT is a preset value, confirm the power data of the same type of associated nodes within this monitoring period ZT, and confirm the power fluctuation curve of the corresponding associated nodes; Identify whether two sets of power fluctuation curves have the same trend in the same period. If they have the same trend, no calibration is performed. If they have different trends, the corresponding line segments are calibrated as different line segments. Based on the determined different line segments, determine the line segment ratio of the different line segments in the corresponding relevant power fluctuation curve, where the line segment ratio = the total length of the different line segments ÷ the total length of the power fluctuation curve. If the line segment ratio is greater than Y4, where Y4 is a preset value, the power node is marked as an abnormal node. The marked abnormal nodes are displayed through the display terminal.

7. A power line fault early warning operation and maintenance monitoring system according to claim 6, characterized in that: When the line segment ratio is ≤Y4, no power node calibration is performed.

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