Power grid fault point distance measurement method based on traveling wave identification and information source control

Abstract

The invention discloses a power grid fault point distance measurement method based on traveling wave identification and information source control, relates to the field of power, solves the problem of poor distance measurement effect of the power grid fault point distance measurement method, and comprises the following steps: S1, respectively obtaining a current detection abnormal index value and a voltage detection abnormal index value corresponding to each to-be-detected power line, s2, dividing a plurality of to-be-detected power lines into a first type of power lines and a second type of power lines according to the power grid fault detection basic data to obtain power line anomaly detection data, and S3, carrying out fault point distance measurement on each first type of power line according to the power line anomaly detection data. According to the invention, the pertinence and accuracy of the distance measurement method can be ensured, and the utilization efficiency of distance measurement resources is improved.

Description

Technical Field

[0001] The invention belongs to the electric power field and relates to a traveling wave identification technology, in particular to a power grid fault point distance measurement method based on traveling wave identification and information source control. Background Art

[0002] The existing power grid fault point distance measurement method has the following specific defects when measuring the fault point distance:

[0003] 1. The power lines in the power grid are not divided into distributed groups. The fault point distance measurement is carried out in an overall manner, which is easy to cause error superposition and lead to the lack of accuracy of the final distance measurement result.

[0004] 2. The power line is not divided into several sub-lines to measure the fault point separately, which causes the traveling wave signal to be reflected and diffracted on different paths, resulting in multipath propagation and increasing the uncertainty of ranging;

[0005] 3. Failure to divide the power line faults in advance resulted in a lack of specificity in the ranging process, which caused a waste of resources to a certain extent.

[0006] Therefore, we propose a power grid fault point location method based on traveling wave identification and information source control. Summary of the invention

[0007] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a power grid fault point distance measurement method based on traveling wave identification and information source control. The present invention is based on splitting the target power grid into a number of power lines to be detected, respectively obtaining the current detection abnormality index value and the voltage detection abnormality index value corresponding to each power line to be detected, and obtaining the power grid fault detection basic data. According to the power grid fault detection basic data, the circuit fault judgment coefficient corresponding to each power line to be detected is calculated respectively, and the circuit fault judgment coefficient threshold is obtained and compared with multiple circuit fault judgment coefficients for numerical comparison. According to the numerical comparison result, the multiple power lines to be detected are divided into a first type of power lines and a second type of power lines, and the power line abnormality detection data is obtained. According to the power line abnormality detection data, the fault point distance of each first type of power line is measured.

[0008] In order to achieve the above object, the present invention adopts the following technical solution: a method for measuring the distance of a power grid fault point based on traveling wave identification and information source control, comprising the following specific steps:

[0009] Step S1: split the target power grid into several power lines to be detected, respectively obtain the current detection abnormality index value and the voltage detection abnormality index value corresponding to each power line to be detected, and obtain basic data for power grid fault detection;

[0010] Step S2: Calculate the circuit fault judgment coefficient corresponding to each power line to be detected according to the basic data of power grid fault detection, obtain the circuit fault judgment coefficient threshold and compare the values ​​with multiple circuit fault judgment coefficients, and divide the multiple power lines to be detected into the first type of power lines and the second type of power lines according to the numerical comparison results, and obtain power line abnormality detection data;

[0011] Step S3: performing fault point distance measurement on each first type power line according to the power line anomaly detection data.

[0012] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0013] 1. The present invention divides the target power grid into several power lines to be detected and uses distributed power analysis to measure the distance to the fault point, which can avoid the reflection and diffraction of the traveling wave signal in different paths, reduce the uncertainty of the distance measurement result, and improve the accuracy of the distance measurement result;

[0014] 2. The present invention performs fault pre-judgment by respectively obtaining the current detection abnormality index values ​​and the voltage detection abnormality index values ​​of different power lines to be detected, and only performs fault distance measurement on the power lines to be detected with faults, which can improve the pertinence of the distance measurement method and improve the utilization efficiency of the distance measurement resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0016] Figure 1 It is a diagram of the implementation steps of the present invention;

[0017] Figure 2 is the overall system block diagram of the present invention;

[0018] Figure 3 This is a characteristic power detection circuit of the present invention. DETAILED DESCRIPTION

[0019] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0020] Embodiment 1

[0021] See also Figure 1 The present invention provides a technical solution: a method for measuring the distance of a power grid fault point based on traveling wave identification and information source control, comprising the following specific steps:

[0022] Step S1: split the target power grid into several power lines to be detected, respectively obtain the current detection abnormality index value and the voltage detection abnormality index value corresponding to each power line to be detected, and obtain basic data for power grid fault detection;

[0023] The step S1 further includes the following specific steps:

[0024] Step S11: split the target power grid into a plurality of power lines to obtain a plurality of power lines to be detected, and randomly select a power line to be detected from the plurality of power lines to be detected as a sample power line to be detected;

[0025] Step S12: performing current detection on the sample power line to be detected, and obtaining a current detection abnormality index value corresponding to the sample power line to be detected;

[0026] The step S12 further includes the following specific steps:

[0027] Step S121: in the process of current detection of the sample power line to be detected, the time value corresponding to the current moment is marked as a first current marking time point, the time point corresponding to a current detection interval after the first current marking time point is marked as a second current marking time point, and the period between the first current marking time point and the second current marking time point is marked as a current detection cycle;

[0028] Step S122: selecting a plurality of current detection time points within the current detection cycle, and the time interval between each two consecutive current detection time points is the same, and naming the selected plurality of current detection time points as the first current detection time point to the ath current detection time point in chronological order;

[0029] Step S123: acquiring a current detection index value of the sample power line to be detected at a first current detection time point to obtain a first current detection index value;

[0030] The step S123 further includes the following specific steps:

[0031] Step S1231: randomly setting a plurality of current detection devices in the sample power line to be detected, respectively obtaining the circuit current value detected by each current detection device at the first current detection time point, obtaining a plurality of circuit current values, and averaging the obtained plurality of circuit current values ​​to obtain a first current detection average value;

[0032] Step S1232: obtaining a reference current value of the sample power line to be detected at a first current detection time point to obtain a first reference current value;

[0033] Step S1233: Calculate the difference between the first current detection average value and the first reference current value, and take the absolute value of the obtained difference to obtain the first current detection index value;

[0034] Step S124: acquiring current detection index values ​​of the sample power lines to be detected at the second current detection time point to the ath current detection time point respectively, to obtain the second current detection index value to the ath current detection index value;

[0035] Step S125: averaging the first current detection index value to the ath current detection index value to obtain a current detection abnormality index value corresponding to the sample power line to be detected;

[0036] Step S13: acquiring the current detection abnormality index value of each power line to be detected respectively, to obtain a plurality of current detection abnormality index values;

[0037] Step S14: Perform voltage detection on the sample power line to be detected to obtain a voltage detection abnormality index value corresponding to the sample power line to be detected;

[0038] The step S14 further includes the following specific steps:

[0039] Step S141: in the process of performing voltage detection on the sample power line to be detected, the time value corresponding to the current moment is marked as a first voltage marking time point, the time point corresponding to a voltage detection duration after the first voltage marking time point is marked as a second voltage marking time point, and the period between the first voltage marking time point and the second voltage marking time point is marked as a voltage detection cycle;

[0040] Step S142: selecting a plurality of voltage detection time points within the voltage detection cycle, and the time interval between each two consecutive voltage detection time points is the same, and naming the selected plurality of voltage detection time points as the first voltage detection time point to the ath voltage detection time point in chronological order;

[0041] Step S143: acquiring a voltage detection index value of the sample power line to be detected at a first voltage detection time point to obtain a first voltage detection index value;

[0042] The step S143 further includes the following specific steps:

[0043] Step S1431: randomly setting a plurality of voltage detection devices in the sample power line to be detected, respectively obtaining the circuit voltage value detected by each voltage detection device at the first voltage detection time point, obtaining a plurality of circuit voltage values, and averaging the obtained plurality of circuit voltage values ​​to obtain a first voltage detection average value;

[0044] Step S1432: obtaining a reference voltage value of the sample power line to be detected at a first voltage detection time point to obtain a first reference voltage value;

[0045] Step S1433: Calculate the difference between the first voltage detection average value and the first reference voltage value, and take the absolute value of the obtained difference to obtain the first voltage detection index value;

[0046] Step S144: respectively acquiring voltage detection index values ​​of the sample power lines to be detected from the second voltage detection time point to the ath voltage detection time point, to obtain the second voltage detection index value to the ath voltage detection index value;

[0047] Step S145: averaging the first voltage detection index value to the ath voltage detection index value to obtain a voltage detection abnormality index value corresponding to the sample power line to be detected;

[0048] Step S15: respectively acquiring the voltage detection abnormality index value of each power line to be detected, to obtain a plurality of voltage detection abnormality index values;

[0049] Step S16: defining a plurality of current detection abnormality index values ​​and a plurality of voltage detection abnormality index values ​​as basic data for power grid fault detection;

[0050] Step S2: Calculate the circuit fault judgment coefficient corresponding to each power line to be detected according to the basic data of power grid fault detection, obtain the circuit fault judgment coefficient threshold and compare the values ​​with multiple circuit fault judgment coefficients, and divide the multiple power lines to be detected into the first type of power lines and the second type of power lines according to the numerical comparison results, and obtain power line abnormality detection data;

[0051] Step S21: acquiring basic data for power grid fault detection, and acquiring current detection abnormality index values ​​and voltage detection abnormality index values ​​corresponding to each power line to be detected according to the basic data for power grid fault detection;

[0052] Step S22: obtaining a circuit fault judgment coefficient corresponding to the power line to be detected by calculating the current detection abnormality index value and the voltage detection abnormality index value;

[0053] The circuit fault judgment coefficient is calculated, and the specific formula is as follows:

[0054] Lpd=Iyc+Vyc+Iyc×Vyc;

[0055] Wherein, Lpd is the circuit fault judgment coefficient, Iyc is the current detection abnormality index value, and Vcy is the voltage detection abnormality index value;

[0056] Step S23: acquiring the circuit fault judgment coefficient corresponding to each power line to be detected respectively, to obtain a plurality of circuit fault judgment coefficients;

[0057] Step S24: obtaining a circuit fault judgment coefficient threshold, performing a numerical comparison between each circuit fault judgment coefficient and the circuit fault judgment coefficient threshold, and dividing a plurality of power lines to be detected into a first type of power lines and a second type of power lines according to the numerical comparison result, to obtain power line abnormality detection data;

[0058] The step S24 further includes the following specific steps:

[0059] Step S241: respectively obtaining a current detection abnormality index threshold and a voltage detection abnormality index threshold;

[0060] Step S242: obtaining a circuit fault judgment coefficient threshold corresponding to the power line to be detected by calculating the current detection abnormality index threshold and the voltage detection abnormality index threshold;

[0061] Step S243: Calculate the circuit fault judgment coefficient threshold, the specific formula is as follows:

[0062] Lpdy=Iycy+Vycy+Iycy×Vycy;

[0063] Among them, Lpdy is the circuit fault judgment coefficient threshold, Iycy is the current detection abnormal index threshold, and Vcyy is the voltage detection abnormal index threshold;

[0064] Step S244: when the circuit fault judgment coefficient is greater than or equal to the circuit fault judgment coefficient threshold, the corresponding power line to be detected is classified as a first type of power line;

[0065] Step S245: when the circuit fault judgment coefficient is less than the circuit fault judgment coefficient threshold, the corresponding power line to be detected is classified as a second type of power line;

[0066] Step S3: performing fault point distance measurement on the first type of power line according to the power line abnormality detection data;

[0067] Step S31: acquiring power line abnormality detection data, acquiring a first type of power line in the target power grid according to the power line abnormality detection data, and obtaining a plurality of first type of power lines;

[0068] Step S32: randomly selecting a power line to be detected from a plurality of first-type power lines as a characteristic power detection line;

[0069] Step S33: performing fault point distance measurement on the characteristic power detection line;

[0070] The step S33 further includes the following specific steps:

[0071] Step S331: mark b fault distance measurement points in the characteristic power detection line respectively, and the distance interval between every two consecutive fault distance measurement points is the same, and name the b fault distance measurement points as the first fault distance measurement point to the bth fault distance measurement point respectively;

[0072] Step S332: In the characteristic power detection line, the power detection line with the first fault ranging point as the ranging starting point and the second fault ranging point as the ranging end point is marked as the first power detection sub-line, the power detection line with the second fault ranging point as the ranging starting point and the third fault ranging point as the ranging end point is marked as the second power detection sub-line, the power detection line with the third fault ranging point as the ranging starting point and the fourth fault ranging point as the ranging end point is marked as the third power detection sub-line, and so on, the power detection line with the b-1th fault ranging point as the ranging starting point and the bth fault ranging point as the ranging end point is marked as the b-1th power detection sub-line;

[0073] Step S333: performing fault point distance measurement on the first power detection sub-circuit;

[0074] The step S333 further includes the following specific steps:

[0075] Step S3331: in the first power detection sub-circuit, a characteristic traveling wave is transmitted from the first fault distance measurement point to the second fault distance measurement point through a signal source control device;

[0076] Step S3332: acquiring the time point value corresponding to the emission of the characteristic traveling wave of the first fault ranging point to obtain a first characteristic time value;

[0077] Step S3333: acquiring a characteristic traveling wave signal strength value corresponding to when the first fault ranging point transmits a characteristic traveling wave, to obtain a first signal strength value; acquiring a characteristic traveling wave signal strength value corresponding to when the second fault ranging point receives a characteristic traveling wave, to obtain a second signal strength value;

[0078] Step S3334: Calculate the difference between the first signal strength value and the second signal strength value, and take the absolute value of the obtained difference to obtain the signal strength characteristic attenuation value;

[0079] Step S3335: obtaining a signal strength characteristic attenuation threshold, and numerically comparing the signal strength characteristic attenuation value with the signal strength characteristic attenuation threshold; when the signal strength characteristic attenuation value is greater than or equal to the signal strength characteristic attenuation threshold, it is determined that there is a fault point in the first power detection sub-circuit; when the signal strength characteristic attenuation value is less than the signal strength characteristic attenuation threshold, it is determined that there is no fault point in the first power detection sub-circuit;

[0080] Step S3336: When there is a fault point in the first power detection sub-circuit, the first fault distance measurement point receives the characteristic traveling wave reflected by the fault point, and obtains the received time point value to obtain a second characteristic time value;

[0081] Step S3337: acquiring the propagation speed of the characteristic traveling wave in the first power detection sub-circuit to obtain the characteristic traveling wave propagation speed;

[0082] Step S3338: obtaining a fault point detection distance value corresponding to the first power detection sub-circuit by calculating the first characteristic time value, the second characteristic time value and the characteristic traveling wave propagation speed;

[0083] Calculate the fault point measurement distance value. The specific formula is as follows:

[0084]

[0085] Wherein, Cj l is the fault point measurement distance value, Vcb is the characteristic traveling wave propagation speed, Tsj1 is the first characteristic time value, and Tsj2 is the second characteristic time value;

[0086] Step S334: repeat step S333 to perform fault point distance measurement on the second power detection sub-circuit to the b-1th power detection sub-circuit respectively;

[0087] Step S34: repeating step S333 to perform fault point distance measurement on each first type power line respectively;

[0088] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0089] Embodiment 2

[0090] See also Figure 2 , based on another concept of the same invention, a power grid fault point distance measurement system based on traveling wave identification and information source control is now proposed, which is applied to a power grid fault point distance measurement method based on traveling wave identification and information source control, the distance measurement system includes a data acquisition module, a fault detection module, a positioning and ranging module and a server, the data acquisition module, the fault detection module and the positioning and ranging module are respectively connected to the server, and the server controls the data acquisition module, the fault detection module and the positioning and ranging module respectively;

[0091] The data acquisition module divides the target power grid into several power lines to be detected, and respectively obtains the current detection abnormality index value and the voltage detection abnormality index value corresponding to each power line to be detected, so as to obtain the basic data for power grid fault detection;

[0092] The target power grid is divided into a plurality of power lines to obtain a plurality of power lines to be detected, and a power line to be detected is randomly selected from the plurality of power lines to be detected as a sample power line to be detected;

[0093] Performing current detection on the sample power line to be detected to obtain a current detection abnormality index value corresponding to the sample power line to be detected;

[0094] The details are as follows:

[0095] In the process of current detection of the sample power line to be detected, the time value corresponding to the current moment is marked as the first current marking time point, the time point corresponding to the current detection interval after the first current marking time point is marked as the second current marking time point, and the period between the first current marking time point and the second current marking time point is marked as the current detection cycle;

[0096] It should be noted here that:

[0097] In the present application, as the time value corresponding to the current moment changes, the first current marking time point and the second current marking time point also change, thereby realizing dynamic update of the current detection cycle;

[0098] In this application, the current detection interval duration is specifically 20 seconds;

[0099] A plurality of current detection time points are selected within the current detection cycle, and the time interval between each two consecutive current detection time points is the same, and the selected plurality of current detection time points are named as the first current detection time point to the ath current detection time point in chronological order;

[0100] It should be noted here that:

[0101] In the present application, a is the quantity value corresponding to the current detection time point, and a is an integer greater than 0;

[0102] Acquire a current detection index value of a sample power line to be detected at a first current detection time point to obtain a first current detection index value;

[0103] The details are as follows:

[0104] A plurality of current detection devices are randomly arranged in the sample power line to be detected, and the circuit current value detected by each current detection device at the first current detection time point is respectively obtained to obtain a plurality of circuit current values, and the obtained plurality of circuit current values ​​are averaged to obtain a first current detection average value;

[0105] Obtain a reference current value of the sample power line to be detected at a first current detection time point to obtain a first reference current value;

[0106] Calculate the difference between the first current detection average value and the first reference current value, and take the absolute value of the obtained difference to obtain the first current detection index value;

[0107] The current detection index values ​​of the sample power lines to be detected are respectively acquired from the second current detection time point to the ath current detection time point to obtain the second current detection index value to the ath current detection index value;

[0108] Calculate the average of the first current detection index value to the ath current detection index value to obtain the current detection abnormality index value corresponding to the sample power line to be detected;

[0109] Repeat the process of obtaining the current detection abnormality index value corresponding to the sample power line to be detected, respectively obtain the current detection abnormality index value of each power line to be detected, and obtain multiple current detection abnormality index values;

[0110] Performing voltage detection on the sample power line to be detected to obtain a voltage detection abnormality index value corresponding to the sample power line to be detected;

[0111] The details are as follows:

[0112] In the process of voltage detection on the sample power line to be detected, the time value corresponding to the current moment is marked as the first voltage marking time point, the time point corresponding to a voltage detection duration after the first voltage marking time point is marked as the second voltage marking time point, and the period between the first voltage marking time point and the second voltage marking time point is marked as the voltage detection cycle;

[0113] It should be noted here that:

[0114] In the present application, as the time value corresponding to the current moment changes, the first voltage marking time point and the second voltage marking time point also change, thereby realizing dynamic update of the voltage detection cycle;

[0115] In this application, the voltage detection duration is specifically 20 seconds;

[0116] In the present application, each voltage detection cycle corresponds to the same time range as the current detection cycle;

[0117] A plurality of voltage detection time points are selected within the voltage detection cycle, and the time interval between each two consecutive voltage detection time points is the same, and the selected plurality of voltage detection time points are named as the first voltage detection time point to the ath voltage detection time point in chronological order;

[0118] It should be noted here that:

[0119] In this application, a is the quantity value corresponding to the voltage detection time point, and a is an integer greater than 0;

[0120] Acquire a voltage detection index value of a sample power line to be detected at a first voltage detection time point to obtain a first voltage detection index value;

[0121] The details are as follows:

[0122] A plurality of voltage detection devices are randomly arranged in the sample power line to be detected, and the circuit voltage value detected by each voltage detection device at the first voltage detection time point is respectively obtained to obtain a plurality of circuit voltage values, and the obtained plurality of circuit voltage values ​​are averaged to obtain a first voltage detection average value;

[0123] Obtain a reference voltage value of the sample power line to be detected at a first voltage detection time point to obtain a first reference voltage value;

[0124] Calculate the difference between the first voltage detection average value and the first reference voltage value, and take the absolute value of the obtained difference to obtain the first voltage detection index value;

[0125] Respectively acquiring voltage detection index values ​​of the sample power lines to be detected from the second voltage detection time point to the ath voltage detection time point, to obtain the second voltage detection index value to the ath voltage detection index value;

[0126] Calculate the average of the first voltage detection index value to the ath voltage detection index value to obtain the voltage detection abnormality index value corresponding to the sample power line to be detected;

[0127] Repeat the process of obtaining the voltage detection abnormality index value corresponding to the sample power line to be detected, respectively obtain the voltage detection abnormality index value of each power line to be detected, and obtain multiple voltage detection abnormality index values;

[0128] defining a plurality of current detection abnormality index values ​​and a plurality of voltage detection abnormality index values ​​as basic data for power grid fault detection;

[0129] The fault detection module calculates the circuit fault judgment coefficient corresponding to each power line to be detected according to the basic data of power grid fault detection, obtains the circuit fault judgment coefficient threshold and compares the values ​​with multiple circuit fault judgment coefficients, and divides the multiple power lines to be detected into the first type of power lines and the second type of power lines according to the numerical comparison results, and obtains the power line abnormality detection data;

[0130] Obtaining basic data for power grid fault detection, and obtaining current detection abnormality index values ​​and voltage detection abnormality index values ​​corresponding to each power line to be detected according to the basic data for power grid fault detection;

[0131] The circuit fault judgment coefficient corresponding to the power line to be detected is obtained by calculating the current detection abnormality index value and the voltage detection abnormality index value;

[0132] The circuit fault judgment coefficient is calculated, and the specific formula is as follows:

[0133] Lpd=Iyc+Vyc+Iyc×Vyc;

[0134] Wherein, Lpd is the circuit fault judgment coefficient, Iyc is the current detection abnormality index value, and Vcy is the voltage detection abnormality index value;

[0135] Obtaining the circuit fault judgment coefficient corresponding to each power line to be detected respectively, to obtain a plurality of circuit fault judgment coefficients;

[0136] Obtaining a circuit fault judgment coefficient threshold, performing numerical comparison between each circuit fault judgment coefficient and the circuit fault judgment coefficient threshold, and dividing a plurality of power lines to be detected into a first type of power lines and a second type of power lines according to the numerical comparison result, to obtain power line abnormality detection data;

[0137] The details are as follows:

[0138] respectively obtaining a current detection abnormality indicator threshold and a voltage detection abnormality indicator threshold;

[0139] The circuit fault judgment coefficient threshold corresponding to the power line to be detected is obtained by calculating the current detection abnormality index threshold and the voltage detection abnormality index threshold;

[0140] It should be noted here that:

[0141] In the present application, the current detection abnormality index threshold and the voltage detection abnormality index threshold are respectively the minimum current detection abnormality index value and the minimum voltage detection abnormality index value corresponding to the second type of power line;

[0142] The circuit fault judgment coefficient threshold is calculated, and the specific formula is as follows:

[0143] Lpdy=Iycy+Vycy+Iycy×Vycy;

[0144] Among them, Lpdy is the circuit fault judgment coefficient threshold, Iycy is the current detection abnormal index threshold, and Vcyy is the voltage detection abnormal index threshold;

[0145] When the circuit fault judgment coefficient is greater than or equal to the circuit fault judgment coefficient threshold, the corresponding power line to be detected is classified as a first type of power line;

[0146] When the circuit fault judgment coefficient is less than the circuit fault judgment coefficient threshold, the corresponding power line to be detected is classified as a second type of power line;

[0147] It should be noted here that:

[0148] In the present application, the first type of power line has a circuit fault point, and the second type of power line does not have a circuit fault point;

[0149] The fault detection module acquires the abnormality detection data of the power line and transmits it to the positioning and ranging module;

[0150] The positioning and ranging module performs fault point distance measurement on the first type of power line according to the power line abnormality detection data;

[0151] Acquire power line anomaly detection data, acquire a first type of power line in the target power grid according to the power line anomaly detection data, obtain a plurality of first type power lines, and arbitrarily select a power line to be detected from the plurality of first type power lines obtained as a characteristic power detection line;

[0152] Conduct fault point distance measurement on characteristic power detection lines;

[0153] The details are as follows:

[0154] Mark b fault distance measurement points in the characteristic power detection line respectively, and the distance interval between every two consecutive fault distance measurement points is the same, and name the b fault distance measurement points as the first fault distance measurement point to the bth fault distance measurement point respectively;

[0155] See also Figure 3, in the characteristic power detection line, the power detection line with the first fault ranging point as the ranging starting point and the second fault ranging point as the ranging end point is marked as the first power detection sub-line, the power detection line with the second fault ranging point as the ranging starting point and the third fault ranging point as the ranging end point is marked as the second power detection sub-line, the power detection line with the third fault ranging point as the ranging starting point and the fourth fault ranging point as the ranging end point is marked as the third power detection sub-line, and so on, the power detection line with the b-1th fault ranging point as the ranging starting point and the bth fault ranging point as the ranging end point is marked as the b-1th power detection sub-line;

[0156] Performing fault point distance measurement on the first power detection sub-circuit;

[0157] The details are as follows:

[0158] In the first power detection sub-circuit, a characteristic traveling wave is transmitted from the first fault distance measurement point to the second fault distance measurement point through the information source control device;

[0159] Acquire the time point value corresponding to the emission of the characteristic traveling wave of the first fault ranging point to obtain a first characteristic time value;

[0160] The characteristic traveling wave signal strength value corresponding to the first fault ranging point transmitting the characteristic traveling wave is obtained to obtain a first signal strength value, and the characteristic traveling wave signal strength value corresponding to the second fault ranging point receiving the characteristic traveling wave is obtained to obtain a second signal strength value;

[0161] Calculating the difference between the first signal strength value and the second signal strength value, and taking the absolute value of the obtained difference to obtain a signal strength characteristic attenuation value;

[0162] Obtain a signal strength characteristic attenuation threshold, compare the signal strength characteristic attenuation value with the signal strength characteristic attenuation threshold, and when the signal strength characteristic attenuation value is greater than or equal to the signal strength characteristic attenuation threshold, determine that there is a fault point in the first power detection sub-circuit; when the signal strength characteristic attenuation value is less than the signal strength characteristic attenuation threshold, determine that there is no fault point in the first power detection sub-circuit;

[0163] When there is a fault point in the first power detection sub-circuit, the first fault distance measurement point receives the characteristic traveling wave reflected by the fault point, and obtains the received time point value to obtain a second characteristic time value;

[0164] Acquiring the propagation speed of the characteristic traveling wave in the first power detection sub-circuit to obtain the characteristic traveling wave propagation speed;

[0165] The first characteristic time value, the second characteristic time value and the characteristic traveling wave propagation speed are calculated to obtain a fault point detection distance value corresponding to the first power detection sub-circuit;

[0166] It should be noted here that:

[0167] The fault point measurement distance value involved here is the distance value between the fault point and the measurement starting point;

[0168] Calculate the fault point measurement distance value. The specific formula is as follows:

[0169]

[0170] Wherein, Cj l is the fault point measurement distance value, Vcb is the characteristic traveling wave propagation speed, Tsj1 is the first characteristic time value, and Tsj2 is the second characteristic time value;

[0171] Repeat the process of performing fault point distance measurement on the first power detection sub-circuit, and perform fault point distance measurement on the second power detection sub-circuit to the b-1th power detection sub-circuit respectively;

[0172] The process of performing fault point distance measurement on the characteristic power detection line is repeated, and the fault point distance measurement is performed on each first type power line respectively.

[0173] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for measuring the distance between power grid fault points based on traveling wave identification and information source control, characterized in that: include: Step S1: Divide the target power grid into a number of power lines to be detected, obtain the current detection abnormality index value and the voltage detection abnormality index value corresponding to each power line to be detected, and obtain basic data for power grid fault detection; Step S2: Calculate the circuit fault judgment coefficient corresponding to each power line to be detected according to the basic data of power grid fault detection, compare the circuit fault judgment coefficient threshold with multiple circuit fault judgment coefficients, and divide the multiple power lines to be detected into a first type of power lines and a second type of power lines according to the numerical comparison results, and obtain power line abnormality detection data; Step S3: performing fault point distance measurement on each first type power line according to the power line anomaly detection data.

2. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 1, characterized in that: The step S1 comprises the following specific steps: Step S11: Divide the target power grid into a plurality of power lines to obtain a plurality of power lines to be detected, and randomly select a power line to be detected from the plurality of power lines to be detected as a sample power line to be detected; Step S12: performing current detection on the sample power line to be detected to obtain a current detection abnormality index value corresponding to the sample power line to be detected.

3. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 2, characterized in that: The step S1 further includes the following specific steps: Step S13: performing current detection on other power lines to be detected except the sample power line to be detected, respectively, to obtain a plurality of current detection abnormality index values; Step S14: Perform voltage detection on the sample power line to be detected to obtain a voltage detection abnormality index value corresponding to the sample power line to be detected.

4. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 3, characterized in that: The step S1 further includes the following specific steps: Step S15: respectively acquiring the voltage detection abnormality index value of each power line to be detected, to obtain a plurality of voltage detection abnormality index values; Step S16: defining a plurality of current detection abnormality index values ​​and a plurality of voltage detection abnormality index values ​​as basic data for power grid fault detection.

5. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 4, characterized in that: The step S12 includes the following specific steps: Step S121: During the current detection process of the sample power line to be detected, the time value corresponding to the current moment is marked as the first current marking time point, the time point corresponding to a current detection interval after the first current marking time point is marked as the second current marking time point, and the period between the first current marking time point and the second current marking time point is marked as the current detection cycle.

6. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 5, characterized in that: The step S12 further includes the following specific steps: Step S122: selecting a plurality of current detection time points within the current detection cycle, and the time interval between each two consecutive current detection time points is the same, and naming the selected plurality of current detection time points as the first current detection time point to the ath current detection time point in chronological order; Step S123: acquiring the current detection index value of the sample power line to be detected at the first current detection time point to obtain a first current detection index value.

7. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 6, characterized in that: The step S12 further includes the following specific steps: Step S124: acquiring current detection index values ​​of the sample power lines to be detected at the second current detection time point to the ath current detection time point respectively, to obtain the second current detection index value to the ath current detection index value; Step S125: Calculate the average of the first current detection index value to the ath current detection index value to obtain the current detection abnormality index value corresponding to the sample power line to be detected.

8. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 1, characterized in that: The step S2 comprises the following specific steps: Step S21: acquiring basic data for power grid fault detection, and acquiring current detection abnormality index values ​​and voltage detection abnormality index values ​​corresponding to each power line to be detected according to the basic data for power grid fault detection; Step S22: obtaining a circuit fault judgment coefficient corresponding to the power line to be detected by calculating the current detection abnormality index value and the voltage detection abnormality index value; Calculate the circuit fault judgment coefficient.

9. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 8, characterized in that: The step S2 also includes the following specific steps: Step S23: acquiring the circuit fault judgment coefficient corresponding to each power line to be detected respectively, to obtain a plurality of circuit fault judgment coefficients; Step S24: Obtain a circuit fault judgment coefficient threshold, perform numerical comparison on each circuit fault judgment coefficient and the circuit fault judgment coefficient threshold, divide multiple power lines to be detected into first type power lines and second type power lines according to the numerical comparison results, and obtain power line abnormality detection data.

10. A method for measuring fault location of power grid based on traveling wave identification and information source control according to claim 9, characterized in that: The step S24 includes the following specific steps: Step S241: respectively obtaining a current detection abnormality index threshold and a voltage detection abnormality index threshold; Step S242: obtaining a circuit fault judgment coefficient threshold corresponding to the power line to be detected by calculating the current detection abnormality index threshold and the voltage detection abnormality index threshold; Step S243: Calculating the circuit fault judgment coefficient threshold; Step S244: when the circuit fault judgment coefficient is greater than or equal to the circuit fault judgment coefficient threshold, the corresponding power line to be detected is classified as a first type of power line; Step S245: when the circuit fault judgment coefficient is less than the circuit fault judgment coefficient threshold, the corresponding power line to be detected is classified as a second type of power line.

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