Spatial multidirectional transient electromagnetic field waveform parameter measurement system

Abstract

The invention relates to the technical field of power transmission lines, and discloses a spatial multidirectional transient electromagnetic field waveform parameter measurement system, which comprises an electromagnetic parameter acquisition module, an electromagnetic parameter analysis module, an electromagnetic parameter evaluation module and a comprehensive early warning module, and is characterized in that the electromagnetic parameter acquisition module is connected with the electromagnetic parameter analysis module through a network; the electromagnetic parameter analysis module is connected with the electromagnetic parameter evaluation module through a network, the electromagnetic parameter evaluation module is connected with the electromagnetic parameter early warning module through the network, and the electromagnetic parameter acquisition module is connected with a voltage sensor, a current sensor, a lead sag monitoring device, a windage yaw monitor and a galloping monitoring device for monitoring voltage, current, sag, windage yaw and galloping. And then calculation and early warning are carried out according to the monitored data, so that integrated cooperative sensing of various state parameters and fault abnormal parameters is realized, the comprehensive judgment capability of the operation state of the overhead transmission line is remarkably improved, and the operation condition of the transmission line is comprehensively known.

Description

Technical Field

[0001] The invention relates to the technical field of power transmission lines, and in particular to a spatial multi-directional transient electromagnetic field waveform parameter measurement system. Background Art

[0002] With the acceleration of my country's urbanization process and the rapid growth of power supply load demand, the scale of the power grid continues to expand and its structure becomes more complex. In this context, how to accurately and reliably monitor the operating status of transmission lines and timely and effectively avoid transmission line accidents caused by bad weather or human factors has become the key to ensuring the safe and stable operation of the power grid. The traditional transmission line power signal detection method mainly relies on the installation of mutual inductors in substations. However, this method has certain limitations. For example, electromagnetic mutual inductors have the potential risk of inducing ferromagnetic resonance, while photoelectric mutual inductors face the problem of measurement accuracy needing to be further improved and being susceptible to vibration and temperature. Therefore, it is particularly important to explore a more advanced and effective monitoring method.

[0003] In recent years, with the rapid development of electromagnetic field measurement technology, it has become a reality to use the spatial multi-directional transient electromagnetic field waveform parameter measurement system to sense the spatial electromagnetic field around overhead transmission lines, and then invert the actual operating status parameters of the lines, and realize the integrated collaborative perception of these status parameters and fault abnormal parameters. This not only effectively overcomes the many shortcomings of traditional methods, but also greatly improves the comprehensive judgment ability and monitoring efficiency of the operating status of overhead transmission lines, providing a more solid technical support for the safe and stable operation of the power grid. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the shortcomings of the prior art, the present invention provides a spatial multi-directional transient electromagnetic field waveform parameter measurement system, which has the advantages of realizing integrated collaborative perception of multiple state parameters and fault abnormal parameters, significantly improving the comprehensive judgment ability of the operating status of overhead transmission lines, comprehensively understanding the operating conditions of transmission lines, not affecting the operation of overhead transmission lines, and reducing the difficulty of implementation.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a spatial multi-directional transient electromagnetic field waveform parameter measurement system, comprising an electromagnetic parameter acquisition module, an electromagnetic parameter analysis module, an electromagnetic parameter evaluation module and a comprehensive early warning module, wherein the electromagnetic parameter acquisition module is connected to the electromagnetic parameter analysis module via a network, the electromagnetic parameter analysis module is connected to the electromagnetic parameter evaluation module via a network, and the electromagnetic parameter evaluation module is connected to the electromagnetic parameter early warning module via a network;

[0008] The electromagnetic parameter acquisition module is connected to a voltage sensor, a current sensor, a conductor sag monitoring device, a wind deviation monitor, and a dancing monitoring device, and performs voltage monitoring on the transmission line through the voltage sensor, and forms a voltage data set with the monitored multiple voltage data, and performs current monitoring on the transmission line through the current sensor, and forms a current data set with the monitored multiple current data;

[0009] The electromagnetic parameter acquisition module monitors the sag of the transmission line through a conductor sag monitoring device, and forms a sag data set with the monitored multiple sag data; monitors the windage angle of the transmission line through a windage monitor, and forms a windage data set with the monitored multiple windage angle data; monitors the dancing amplitude of the transmission line through a dancing monitoring device, and forms a dancing data set with the monitored multiple dancing amplitude data; the electromagnetic parameter acquisition module sends the voltage data set, the current data set, the sag data set, the windage data set, and the dancing data set to the electromagnetic parameter analysis module;

[0010] The electromagnetic parameter analysis module calculates the voltage change rate Dybh, the current change rate DLbh, the sag deviation CHpc, the wind deviation frequency characteristic FPpl, and the dancing frequency characteristic WDpl according to the voltage data set, the current data set, the sag data set, the wind deviation data set, and the dancing data set, and sends them to the electromagnetic parameter evaluation module;

[0011] The electromagnetic parameter evaluation module calculates the comprehensive evaluation index ZHpg by combining the voltage change rate DYbh, the current change rate DLbh, the sag deviation CHpc, the wind deviation frequency characteristic FPpl, and the dancing frequency characteristic WDpl, and compares the comprehensive evaluation index ZHpg with the comprehensive evaluation threshold to determine whether there is an abnormality in the current transmission line, and sends an abnormal signal to the comprehensive warning module if there is an abnormality;

[0012] The comprehensive early warning module issues an alarm when receiving an abnormal signal.

[0013] Preferably, the voltage data set is expressed as: Dysj1, Dysj2, Dysj3, . . . , Dysj n , the current data set is expressed as: Dlsj1, Dlsj2, Dlsj3, . . . , Dlsj n In the above data sets, Dysj1 and Dlsj1 are the first data in the voltage data set and the current data set respectively. n 、Dlsj n They are the last data in the voltage data set and the current data set respectively, and n represents that there are n data collected in the data set.

[0014] Preferably, the sag data set is expressed as: Hcsj1, Hcsj2, Hcsj3, . . . , Hcsj n The wind deviation dataset is expressed as: Fpsj1, Fpsj2, Fpsj3, . . . , Fpsj n , the dancing data set is expressed as: Wdsj1, Wdsj2, Wdsj3, . . . , Wdsj n In the above datasets, Hcsj1, Fpsj1, and Wdsj1 are the first data in the sag dataset, wind deviation dataset, and dancing dataset, respectively. n 、Fpsj n 、Wdsj n They are the last data in the sag data set, wind deviation data set, and dancing data set respectively, and n represents that there are n data collected in the data set.

[0015] Preferably, the calculation formula of the voltage change rate DYbh is:

[0016]

[0017] In the above formula, is the current instantaneous voltage change rate, t s is the time interval, α is the corresponding weight factor, Dysj max -Dysj min Represents the difference between the maximum voltage data and the minimum voltage data, t max -t min represents the maximum time span, Indicates that within a given time, the voltage increases from the minimum value Dysj min Change to the maximum value Dysj max The average rate of , β is the corresponding weight.

[0018] Preferably, the calculation formula of the current change rate DLbh is:

[0019]

[0020] In the above formula, is the instantaneous current change rate, t s is the time interval, γ is the corresponding weight factor, Dlsj max -Dlsj min Represents the difference between the maximum current data and the minimum current data, t max -t min represents the maximum time span, Indicates that within a given time, the current increases from the minimum value Dlsj min Change to the maximum value Dlsj maxThe average rate of , δ is the corresponding weight.

[0021] Preferably, the calculation formula of the sag deviation CHpc is:

[0022] CHpc=Hcsj i -(ε·Hcsj l )

[0023] In the above formula, Hcsj i is the actual sag data, Hcsj l is the ideal sag data, ε is the correction factor of the ideal sag data, which is used to adjust the theoretical sag value, ε·Hcsj l is the corrected ideal sag data.

[0024] Preferably, the calculation formula of the windage frequency characteristic FPpl is:

[0025]

[0026] In the above formula, the wind deviation frequency characteristic FPpl is the wind speed does not exceed Fpsj u The cumulative probability, I(Fpsj i ≤Fpsj u ) represents the indicator function, whose value is 1 if the i-th wind deviation data Fpsj i Less than or equal to Fpsj u , otherwise 0, Fpsj u is the wind speed threshold.

[0027] Preferably, the calculation formula of the dancing frequency characteristic WDpl is:

[0028]

[0029] In the above formula, Represents the complex exponential function, which is used to transform the time series into the frequency domain. (ti) Represents the dancing data at time ti, Represents the total number of dancing data starting from the time point i=0 to the time point i=n-1.

[0030] Preferably, the comprehensive evaluation index ZHpg is calculated as follows:

[0031]

[0032] In the above formula, ω1, ω2, ω3, and ω4 are corresponding weight factors, and ω1+ω2+ω3+ω4 is equal to 1.

[0033] Preferably, when the comprehensive evaluation index ZHpg exceeds the comprehensive evaluation safety threshold, the electromagnetic parameter evaluation module sends an abnormal signal to the comprehensive early warning module.

[0034] Compared with the prior art, the present invention provides a spatial multi-directional transient electromagnetic field waveform parameter measurement system, which has the following beneficial effects:

[0035] 1. The present invention installs voltage sensors, current sensors, conductor sag monitoring devices, wind deviation monitors, and dancing monitoring devices on non-live parts of the transmission line, which does not affect the operation of the overhead transmission line and reduces the difficulty of implementation.

[0036] 2. The present invention senses the electromagnetic field in the space around the overhead transmission line, inverts the actual operating status parameters of the line with electromagnetic parameters, monitors multiple line status parameters such as voltage, current, sag, wind deviation, and dancing, and thereby realizes the integrated collaborative perception of multiple status parameters and fault abnormality parameters, significantly improving the comprehensive judgment ability of the operating status of the overhead transmission line, comprehensively understanding the operating status of the transmission line, avoiding the limitations that may be brought about by single parameter monitoring, and helping to more accurately judge the health status and potential risks of the line. It can timely discover and warn of potential fault anomalies, and provide operation and maintenance personnel with sufficient time for preventive maintenance or emergency processing, thereby reducing the occurrence of power outages. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the structural system of the present invention; DETAILED DESCRIPTION

[0038] 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.

[0039] See also Figure 1 , a spatial multi-directional transient electromagnetic field waveform parameter measurement system, including an electromagnetic parameter acquisition module, an electromagnetic parameter analysis module, an electromagnetic parameter evaluation module and a comprehensive early warning module, the electromagnetic parameter acquisition module is connected to the electromagnetic parameter analysis module through a network, the electromagnetic parameter analysis module is connected to the electromagnetic parameter evaluation module through a network, and the electromagnetic parameter evaluation module is connected to the electromagnetic parameter early warning module through a network;

[0040] The electromagnetic parameter acquisition module is connected with a voltage sensor, a current sensor, a conductor sag monitoring device, a wind deviation monitor, and a dancing monitoring device, and performs voltage monitoring on the transmission line through the voltage sensor, and forms a voltage data set with the monitored multiple voltage data, and performs current monitoring on the transmission line through the current sensor, and forms a current data set with the monitored multiple current data;

[0041] The voltage data set is expressed as: Dysj1, Dysj2, Dysj3, ···, Dysj n , the current data set is expressed as: Dlsj1, Dlsj2, Dlsj3, ···, Dlsj n In the above data sets, Dysj1 and Dlsj1 are the first data in the voltage data set and the current data set respectively. n 、Dlsj n They are the last data in the voltage data set and the current data set respectively, and n represents that there are n data collected in the data set;

[0042] The electromagnetic parameter acquisition module monitors the sag of the transmission line through the conductor sag monitoring device, and forms a sag data set with the monitored multiple sag data; monitors the windage angle of the transmission line through the windage monitor, and forms a windage data set with the monitored multiple windage angle data; monitors the dancing amplitude of the transmission line through the dancing monitoring device, and forms a dancing data set with the monitored multiple dancing amplitude data; the electromagnetic parameter acquisition module sends the voltage data set, the current data set, the sag data set, the windage data set, and the dancing data set to the electromagnetic parameter analysis module;

[0043] The expression of the sag data set is: Hcsj1, Hcsj2, Hcsj3, ···, Hcsj n , the wind deviation dataset is expressed as: Fpsj1, Fpsj2, Fpsj3, ···, Fpsj n ,The expression of the dancing dataset is as follows: Wdsj1, Wdsj2, Wdsj3, ···, Wdsj n In the above datasets, Hcsj1, Fpsj1, and Wdsj1 are the first data in the sag dataset, wind deviation dataset, and dancing dataset, respectively. n 、Fpsj n 、Wdsj n They are the last data in the sag data set, wind deviation data set, and dancing data set, respectively. n represents the number of data collected in the data set.

[0044] By installing voltage sensors, current sensors, conductor sag monitoring devices, wind deviation monitors, and dancing monitoring devices on non-live parts of the transmission line, it does not affect the operation of the overhead transmission line and reduces the difficulty of implementation;

[0045] The electromagnetic parameter analysis module calculates the voltage change rate DYbh, current change rate DLbh, sag deviation CHpc, wind deviation frequency characteristic FPpl, and galloping frequency characteristic WDpl according to the voltage data set, current data set, sag data set, wind deviation data set, and galloping data set, and sends them to the electromagnetic parameter evaluation module;

[0046] The calculation formula of voltage change rate DYbh is:

[0047]

[0048] In the above formula, is the current instantaneous voltage change rate, t s is the time interval, α is the corresponding weight factor, Dysj max -Dysj min Represents the difference between the maximum voltage data and the minimum voltage data, t max -t min represents the maximum time span, Indicates that within a given time, the voltage increases from the minimum value Dysj min Change to the maximum value Dysj max The average rate of, β is the corresponding weight;

[0049] The calculation formula of the current change rate DLbh is:

[0050]

[0051] In the above formula, is the instantaneous current change rate, t s is the time interval, γ is the corresponding weight factor, Dlsj max -Dlsj min Represents the difference between the maximum current data and the minimum current data, t max -t min represents the maximum time span, Indicates that within a given time, the current increases from the minimum value Dlsj min Change to the maximum value Dlsj max The average rate of, δ is the corresponding weight;

[0052] The calculation formula of sag deviation CHpc is:

[0053] CHpc=Hcsj i -(ε·Hcsj l )

[0054] In the above formula, Hcsj i is the actual sag data, Hcsj l is the ideal sag data, ε is the correction factor of the ideal sag data, which is used to adjust the theoretical sag value, ε·Hcsj l is the corrected ideal sag data;

[0055] The calculation formula of the windage frequency characteristic FPpl is:

[0056]

[0057] In the above formula, the wind deviation frequency characteristic FPpl is the wind speed does not exceed Fpsj u The cumulative probability, I(Fpsj i ≤Fpsj u ) represents the indicator function, whose value is 1 if the i-th wind deviation data Fpsj i Less than or equal to Fpsj u , otherwise 0, Fpsj u is the wind speed threshold;

[0058] The calculation formula of the dancing frequency characteristic WDpl is:

[0059]

[0060] In the above formula, Represents the complex exponential function, which is used to transform the time series into the frequency domain. (ti) Represents the dancing data at time ti, Represents the total number of dancing data from the time point i=0 to the time point i=n-1;

[0061] The electromagnetic parameter evaluation module combines the voltage change rate DYbh, current change rate DLbh, sag deviation CHpc, wind deviation frequency characteristic FPpl, and dancing frequency characteristic WDpl to calculate the comprehensive evaluation index ZHpg;

[0062] Perception of electromagnetic fields in the space around overhead transmission lines, inversion of actual line operation parameters with electromagnetic parameters, monitoring of multiple line state parameters such as voltage, current, sag, wind deviation, and dancing, and thereby achieving integrated collaborative perception of multiple state parameters and fault abnormality parameters, significantly improving the ability to comprehensively judge the operation status of overhead transmission lines, comprehensively understanding the operation status of transmission lines, avoiding the limitations that may be caused by single parameter monitoring, and helping to more accurately judge the health status and potential risks of lines, and timely discover and warn of potential fault anomalies, providing operation and maintenance personnel with sufficient time to carry out preventive maintenance or emergency treatment, thereby reducing the occurrence of power outages;

[0063] The calculation method of the comprehensive evaluation index ZHpg is:

[0064]

[0065] In the above formula, ω1, ω2, ω3, and ω4 are the corresponding weight factors, and ω1+ω2+ω3+ω4 is equal to 1;

[0066] The comprehensive evaluation index ZHpg is compared with the comprehensive evaluation threshold to determine whether there is an abnormality in the current transmission line. When the comprehensive evaluation index ZHpg exceeds the comprehensive evaluation safety threshold, the electromagnetic parameter evaluation module sends an abnormal signal to the comprehensive early warning module;

[0067] The comprehensive early warning module will issue an alarm when it receives an abnormal signal.

[0068] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A spatial multi-directional transient electromagnetic field waveform parameter measurement system, characterized in that: It includes an electromagnetic parameter acquisition module, an electromagnetic parameter analysis module, an electromagnetic parameter evaluation module and a comprehensive early warning module, wherein the electromagnetic parameter acquisition module is connected to the electromagnetic parameter analysis module via a network, the electromagnetic parameter analysis module is connected to the electromagnetic parameter evaluation module via a network, and the electromagnetic parameter evaluation module is connected to the electromagnetic parameter early warning module via a network; The electromagnetic parameter acquisition module is connected to a voltage sensor, a current sensor, a conductor sag monitoring device, a wind deviation monitor, and a dancing monitoring device, and performs voltage monitoring on the transmission line through the voltage sensor, and forms a voltage data set with the monitored multiple voltage data, and performs current monitoring on the transmission line through the current sensor, and forms a current data set with the monitored multiple current data; The electromagnetic parameter acquisition module monitors the sag of the transmission line through a conductor sag monitoring device, and forms a sag data set with the monitored multiple sag data; monitors the windage angle of the transmission line through a windage monitor, and forms a windage data set with the monitored multiple windage angle data; monitors the dancing amplitude of the transmission line through a dancing monitoring device, and forms a dancing data set with the monitored multiple dancing amplitude data; the electromagnetic parameter acquisition module sends the voltage data set, the current data set, the sag data set, the windage data set, and the dancing data set to the electromagnetic parameter analysis module; The electromagnetic parameter analysis module calculates the voltage change rate DYbh, current change rate DLbh, sag deviation CHpc, wind deviation frequency characteristic FPpl, and dancing frequency characteristic WDpl according to the voltage data set, current data set, sag data set, wind deviation data set, and dancing data set, and sends them to the electromagnetic parameter evaluation module; The electromagnetic parameter evaluation module calculates the comprehensive evaluation index ZHpg by combining the voltage change rate DYbh, the current change rate DLbh, the sag deviation CHpc, the wind deviation frequency characteristic FPpl, and the dancing frequency characteristic WDpl, and compares the comprehensive evaluation index ZHpg with the comprehensive evaluation threshold to determine whether there is an abnormality in the current transmission line, and sends an abnormal signal to the comprehensive warning module if there is an abnormality; The comprehensive early warning module issues an alarm when receiving an abnormal signal.

2. A spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 1, characterized in that: The voltage data set is expressed as: Dysj1, Dysj2, Dysj3, ..., Dysj n , the current data set is expressed as: Dlsj1, Dlsj2, Dlsj3, ..., Dlsj n In the above data sets, Dysj1 and Dlsj1 are the first data in the voltage data set and the current data set respectively. n 、Dlsj n They are the last data in the voltage data set and the current data set respectively, and n represents that there are n data collected in the data set.

3. The spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 1, characterized in that: The sag data set is expressed as: Hcsj1, Hcsj2, Hcsj3, ..., Hcsj n The wind deviation data set is expressed as: Fpsj1, Fpsj2, Fpsj3, ..., Fpsj n , the dancing data set is expressed as: Wdsj1, Wdsj2, Wdsj3, ..., Wdsj n In the above datasets, Hcsj1, Fpsj1, and Wdsj1 are the first data in the sag dataset, wind deviation dataset, and dancing dataset, respectively. n 、Fpsj n 、Wdsj n They are the last data in the sag data set, wind deviation data set, and dancing data set respectively, and n represents that there are n data collected in the data set.

4. The spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 2, characterized in that: The calculation formula of the voltage change rate DYbh is: In the above formula, is the current instantaneous voltage change rate, t s is the time interval, α is the corresponding weight factor, Dysj max -Dysj min Represents the difference between the maximum voltage data and the minimum voltage data, t max -t min represents the maximum time span, Indicates that within a given time, the voltage increases from the minimum value Dysj min Change to the maximum value Dysj max The average rate of , β is the corresponding weight.

5. The spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 2, characterized in that: The calculation formula of the current change rate DLbh is: In the above formula, is the instantaneous current change rate, t s is the time interval, γ is the corresponding weight factor, Dlsj max -Dlsj min Represents the difference between the maximum current data and the minimum current data, t max -t min represents the maximum time span, Indicates that within a given time, the current increases from the minimum value Dlsj min Change to the maximum value Dlsj max The average rate of , δ is the corresponding weight.

6. The spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 3, characterized in that: The calculation formula of the sag deviation CHpc is: CHpc=Hcsj i -(ε·Hcsj l ) In the above formula, Hcsj i is the actual sag data, Hcsj l is the ideal sag data, ε is the correction factor of the ideal sag data, which is used to adjust the theoretical sag value, and ε·Hcsjl is the corrected ideal sag data.

7. The spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 3, characterized in that: The calculation formula of the windage frequency characteristic FPpl is: In the above formula, the wind deviation frequency characteristic FPpl is the wind speed does not exceed Fpsj u The cumulative probability, I(Fpsj i ≤Fpsj u ) represents the indicator function, whose value is 1 if the i-th wind deviation data Fpsj i Less than or equal to Fpsj u , otherwise 0, Fpsj u is the wind speed threshold.

8. The spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 3, characterized in that: The calculation formula of the dancing frequency characteristic WDpl is: In the above formula, Represents the complex exponential function, which is used to transform the time series into the frequency domain. (ti) Represents the dancing data at time ti, Represents the total number of dancing data starting from the time point i=0 to the time point i=n-1.

9. A spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 8, characterized in that: The calculation method of the comprehensive evaluation index ZHpg is: In the above formula, ω1, ω2, ω3, and ω4 are corresponding weight factors, and ω1+ω2+ω3+ω4 is equal to 1.

10. A spatial multi-directional transient electromagnetic field waveform parameter measurement system according to claim 9, characterized in that: When the comprehensive evaluation index ZHpg exceeds the comprehensive evaluation safety threshold, the electromagnetic parameter evaluation module sends an abnormal signal to the comprehensive early warning module.

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