Distribution line fault section positioning method, device, equipment, medium and product

Abstract

The invention relates to a distribution line fault section positioning method and device, equipment, a medium and a product. The method comprises the following steps: acquiring voltage and current data acquired by each feeder terminal unit of a fault distribution line in a preset time period; performing differential processing on the voltage and current data to obtain a fault component of voltage and current, and performing optimal phase-mode transformation processing on the fault component to obtain a line-mode component of the fault component; calculating a forward traveling wave and a backward traveling wave of the linear mode component; and determining a fault area of the fault distribution line and a fault section in the fault area according to the front traveling wave and the reverse traveling wave corresponding to each feeder terminal unit. According to the invention, the fault positioning precision can be improved.

Description

Technical Field

[0001] The present application relates to the field of power grid technology, and in particular to a method, device, equipment, medium and product for locating a fault section of a distribution line. Background Art

[0002] With the increasing integration of high-proportion renewable energy and power electronic devices into distribution networks, new energy power sources generally utilize power electronic interfaces. Their short-circuit currents are significantly affected by inverter control strategies, making it difficult for fault location methods based on steady-state power frequency measurements to accurately determine fault locations in dual-high-current distribution networks. Furthermore, the integration of high-proportion power electronic devices changes the fault characteristics of distribution networks, complicating steady-state current distribution patterns. Traditional impedance ranging methods are susceptible to interference from factors such as changes in grid topology and uneven fault current contributions, resulting in large fault location errors. Therefore, it is necessary to provide a fault location solution for distribution lines that can improve fault location accuracy. Summary of the Invention

[0003] Based on this, it is necessary to provide a method, device, equipment, medium and product for locating the fault section of a distribution line that can improve the accuracy of fault location in response to the above technical problems.

[0004] In a first aspect, the present application provides a method for locating a fault section of a distribution line, comprising:

[0005] Acquire voltage and current data collected by each feeder terminal unit of the faulty distribution line within a preset period, wherein the preset period includes at least one power frequency cycle before the fault and at least one power frequency cycle after the fault;

[0006] Perform differential processing on the voltage and current data to obtain the fault components of the voltage and current, and perform optimal phase mode transformation on the fault components to obtain the line mode components of the fault components;

[0007] Calculate the forward and reverse traveling waves of the line mode components;

[0008] According to the forward-traveling waves and reverse-traveling waves corresponding to each feeder terminal unit, the fault area of ​​the faulty distribution line and the fault section in the fault area are determined.

[0009] In one embodiment, the method further includes: calculating voltage and current mutation data at adjacent moments in a preset time period, the voltage and current mutation data including voltage mutation amount and voltage mutation ratio, and / or current mutation amount and current mutation ratio; if the voltage and current mutation data meet a first condition, determining that fault location is required; the first condition includes that the voltage mutation amount exceeds a first threshold and the voltage mutation ratio exceeds a second threshold, and / or that the current mutation amount exceeds a third threshold and the current mutation ratio exceeds a fourth threshold.

[0010] In one embodiment, the fault area of ​​the faulty distribution line and the fault section in the fault area are determined based on the forward and reverse waves corresponding to each feeder terminal unit, including: for each feeder terminal unit, calculating the energy ratio of the forward and reverse waves corresponding to the feeder terminal unit, and calculating the first wave head energy density corresponding to the feeder terminal unit; wherein, when the energy of the forward wave is greater than the energy of the reverse wave, the first wave head energy density is the first wave head energy density of the forward wave; when the energy of the forward wave is less than the energy of the reverse wave, the first wave head energy density is the first wave head energy density of the reverse wave; determining the fault area based on the energy ratio corresponding to each feeder terminal unit; and determining the fault section in the fault area based on the first wave head energy density.

[0011] In one embodiment, the energy ratio of the forward wave and the reverse wave corresponding to the feeder terminal unit is calculated, including: determining the first mutation time point corresponding to the forward wave, and selecting the second mutation time point and the third mutation time point from each first mutation time point, the second mutation time point and the third mutation time point being the first two mutation time points in the first mutation time points; determining the fourth mutation time point corresponding to the reverse wave, and selecting the fifth mutation time point and the sixth mutation time point from each fourth mutation time point, the fifth mutation time point and the sixth mutation time point being the first two mutation time points in the fourth mutation time points; calculating the energy of the forward wave and the reverse wave respectively according to the smaller value of the second mutation time point and the fifth mutation time point and the smaller value of the third mutation time point and the sixth mutation time point; and calculating the energy ratio according to the energy of the forward wave and the reverse wave.

[0012] In one embodiment, the fault area is determined based on the ratio of the energies corresponding to the feeder terminal units, including: if the ratio of the energies corresponding to the feeder terminal units is greater than a preset value, the fault area is in the reverse direction of the feeder terminal unit; otherwise, the fault area is in the forward direction of the feeder terminal unit; if the fault area is in the forward direction of the upper feeder terminal unit and in the reverse direction of the lower feeder terminal unit, the fault area is between the upper feeder terminal unit and the lower feeder terminal unit.

[0013] In one embodiment, determining the fault section in the fault area according to the first wave head energy density includes: determining the fault section in the fault area according to the ratio of the first wave head energy density corresponding to the upper feeder terminal unit and the first wave head energy density corresponding to the upper feeder terminal unit.

[0014] In a second aspect, the present application further provides a device for locating a fault section of a distribution line, comprising:

[0015] A data acquisition module, configured to acquire voltage and current data collected from each feeder terminal unit of the faulty distribution line within a preset period, wherein the preset period includes at least one power frequency cycle before the fault and at least one power frequency cycle after the fault;

[0016] The data processing module is used to perform differential processing on the voltage and current data to obtain the fault components of the voltage and current, and perform optimal phase mode transformation processing on the fault components to obtain the line mode components of the fault components;

[0017] Traveling wave calculation module, used to calculate the forward and reverse traveling waves of the line mode components;

[0018] The fault determination module is used to determine the fault area of ​​the faulty distribution line and the fault section in the fault area according to the forward and reverse waves corresponding to each feeder terminal unit.

[0019] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the method provided in the first aspect when executing the computer program.

[0020] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which implements the method provided in the first aspect when the computer program is executed by a processor.

[0021] In a fifth aspect, the present application also provides a computer program product, comprising a computer program, which implements the method provided in the first aspect when executed by a processor.

[0022] The above-mentioned distribution line fault section location method, device, equipment, medium and product perform differential processing on the voltage and current data to obtain the fault component of the voltage and current, and perform optimal phase mode transformation on the fault component to obtain the line mode component of the fault component. Since the line mode component is extracted by optimal phase mode transformation, the weak signal detection capability can be improved, so that the attenuated traveling wave can still be accurately identified. The corresponding forward and reverse traveling waves are calculated for each feeder terminal unit, and the forward and reverse traveling waves corresponding to each feeder terminal unit are combined to accurately determine the fault area and fault section. Even in a complex power grid environment, effective positioning can be performed based on the traveling wave signal, thereby improving the accuracy and reliability of fault location. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 1 is a flow chart of a method for locating a fault section of a power distribution line according to an embodiment;

[0025] Figure 2A 1 is a flow chart of steps for determining a fault area and a fault section in one embodiment;

[0026] Figure 2B is a schematic diagram of a fault area in one embodiment;

[0027] Figure 3 is a schematic diagram of an AC power distribution system in one embodiment;

[0028] Figure 4A is a waveform diagram of voltage data collected by FTU1 in one embodiment;

[0029] Figure 4B is a waveform diagram of voltage data collected by FTU2 in one embodiment;

[0030] Figure 4C is a waveform diagram of current data collected by FTU1 in one embodiment;

[0031] Figure 4D is a waveform diagram of current data collected by FTU2 in one embodiment;

[0032] Figure 5A Schematic diagram of forward and reverse waves corresponding to FTU1 in one embodiment;

[0033] Figure 5B Schematic diagram of forward and reverse waves corresponding to FTU2 in one embodiment;

[0034] Figure 6A is a waveform diagram of voltage data collected by FTU1 in one embodiment;

[0035] Figure 6B is a waveform diagram of voltage data collected by FTU2 in one embodiment;

[0036] Figure 6C is a waveform diagram of current data collected by FTU1 in one embodiment;

[0037] Figure 6D is a waveform diagram of current data collected by FTU2 in one embodiment;

[0038] Figure 7A Schematic diagram of forward and reverse waves corresponding to FTU1 in one embodiment;

[0039] Figure 7B Schematic diagram of forward and reverse waves corresponding to FTU2 in one embodiment;

[0040] Figure 8 This is a structural block diagram of a device for locating a fault section of a distribution line in one embodiment;

[0041] Figure 9 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of this application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0043] In an exemplary embodiment, a method for locating a fault section of a distribution line is provided. Figure 1 , the method for locating the fault section of the distribution line includes:

[0044] S110, obtaining voltage and current data collected by each feeder terminal unit of the faulty distribution line within a preset period, wherein the preset period includes at least one power frequency cycle before the fault and at least one power frequency cycle after the fault.

[0045] Among them, the Feeder Terminal Unit (FTU) is a key device in the distribution network automation system, which can collect line voltage, current, active power, reactive power, power factor, frequency and other data.

[0046] The length of the preset period can be selected as needed, for example, the preset period includes two power frequency cycles before the fault and one power frequency cycle after the fault. Of course, other lengths can also be selected and are not limited here.

[0047] The voltage and current data include voltage time series data and current time series data.

[0048] In an actual scenario, after the voltage and current data are acquired and before executing S120 , a Kalman filter may be used to filter and remove noise from the voltage and current data to improve data quality, thereby improving the purity of subsequent traveling wave signals.

[0049] S120 , performing differential processing on the voltage and current data to obtain fault components of the voltage and current, and performing optimal phase mode transformation processing on the fault components to obtain line mode components of the fault components.

[0050] The differential processing may include, but is not limited to, second-order differential processing.

[0051] For example, for the phase A voltage, the fault component is:

[0052]

[0053] in, is the fault component of phase A voltage, 、 and They are the A-phase voltage data of three adjacent power frequency cycles.

[0054] Among them, optimal phase-mode transformation processing is a key technology in power system fault analysis. Its core lies in achieving decoupling of three-phase electrical quantities by constructing an optimized phase-mode transformation matrix, thereby simplifying fault feature extraction and improving the accuracy of protection and ranging.

[0055] For example, the line mode component of the fault component can be obtained using the following calculation formula:

[0056]

[0057]

[0058] in, 、 、 is the fault component of phase A voltage, phase B voltage and phase C voltage, 、 、 are the fault components of phase A current, phase B current and phase C current, and are the line mode modulus of the fault component of the voltage, is the zero-mode component of the fault component of the voltage, and are the line mode components of the fault components of the current, It is the zero-mode component in the fault component of the current.

[0059] S130, calculating the forward-traveling wave and the reverse-traveling wave of the line mode component.

[0060] Among them, the forward wave can be understood as the wave propagating along the positive direction of the transmission line, and the reverse wave can be understood as the wave propagating along the negative direction of the transmission line.

[0061] For example, the forward and reverse waves can be calculated using the following formula:

[0062]

[0063]

[0064] in, represents the forward wave, represents a counter-traveling wave, is the line wave impedance.

[0065] Of course, you can also use and The forward and reverse waves are calculated using the same formula.

[0066] S140: Determine a fault area of ​​the faulty distribution line and a fault section in the fault area according to the forward-traveling waves and the reverse-traveling waves corresponding to each feeder terminal unit.

[0067] That is, after obtaining the forward and reverse waves, the characteristics of the two waves can be used to determine the fault area of ​​the faulty distribution line, thereby determining the specific fault section and achieving fault location.

[0068] The above-mentioned method for locating the fault section of a distribution line performs differential processing on the voltage and current data to obtain the fault component of the voltage and current, and then performs optimal phase-mode transformation on the fault component to obtain the line-mode component of the fault component. Since the line-mode component is extracted through optimal phase-mode transformation, the weak signal detection capability can be improved, so that the attenuated traveling wave can still be accurately identified. The corresponding forward and reverse traveling waves are calculated for each feeder terminal unit, and the forward and reverse traveling waves corresponding to each feeder terminal unit are combined to accurately determine the fault area and fault section. Even in complex power grid environments, effective positioning can be performed based on the traveling wave signal, improving the accuracy and reliability of fault location.

[0069] At the same time, the algorithm has low computational complexity and minimal computing power requirements, balancing accuracy and engineering practicality, making it suitable for rapid fault location in dual-high-voltage distribution networks. Furthermore, it is unaffected by factors such as the high penetration rate of new energy sources and the large proportion of power electronic equipment, and possesses strong environmental adaptability and engineering applicability, ensuring accurate and efficient fault location even in complex operating conditions.

[0070] Based on the technical solutions of the above embodiments, an optional embodiment is provided. In this optional embodiment, the method is further refined to include the step of determining whether fault location is required. The step of determining whether fault location is required includes:

[0071] 1. Calculate voltage and current mutation data at adjacent moments in a preset time period, where the voltage and current mutation data include voltage mutation amount and voltage mutation ratio, and / or current mutation amount and current mutation ratio.

[0072] 2. If the voltage and current mutation data meet the first condition, it is determined that fault location is required; the first condition includes that the voltage mutation amount exceeds the first threshold and the voltage mutation ratio exceeds the second threshold, and / or, the current mutation amount exceeds the third threshold and the current mutation ratio exceeds the fourth threshold.

[0073] The voltage mutation amount is a parameter reflecting the voltage mutation amplitude.

[0074] For example, the voltage mutation amount can be expressed as:

[0075]

[0076] Where, , k is the time, is the voltage at time k, is the absolute value of the difference between the voltage at time k and time k-1; , is the absolute value of the difference between the voltage at time k+1 and time k.

[0077] It is understandable that the expression of the current mutation amount can refer to the expression of the voltage mutation amount.

[0078] The voltage mutation ratio is a parameter reflecting the voltage mutation ratio.

[0079] For example, the voltage mutation ratio can be expressed as:

[0080]

[0081] Where, is the voltage change ratio.

[0082] When the absolute value of the difference between the voltage mutation ratio and 1 is greater than a preset value, it is considered that the voltage mutation ratio exceeds the second threshold.

[0083] It is understandable that the expression of the current mutation ratio can refer to the expression of the voltage mutation ratio.

[0084] In an optional implementation, before calculating the voltage and current mutation data at adjacent moments in a preset time period, the voltage and current data may be smoothed using an exponential moving average (EMA) method.

[0085] For example, taking the phase A voltage as an example, the smoothing method is as follows:

[0086]

[0087] in, Yes The voltage value after smoothing, is the voltage value at time k in the voltage and current data, u is the smoothing factor, and the value of u can be but is not limited to 0.1.

[0088] It is understandable that the signal-to-noise ratio of the traveling wave signal can be improved through smoothing processing, thereby improving the anti-interference ability of the voltage and current data.

[0089] It can be seen that whether fault location is required is determined by using voltage and current mutation data. If fault location is required, the distribution line is considered to be a faulty distribution line, and the above SS110 to S140 are executed, thereby avoiding false triggering of fault location due to interference.

[0090] Based on the technical solutions of the above embodiments, an optional embodiment is provided. In this optional embodiment, the steps for determining the fault area and the fault section are refined.

[0091] See also Figure 2A , the steps for determining the fault area and fault section include:

[0092] S210 , for each feeder terminal unit, calculating the energy ratio of the forward-traveling wave and the reverse-traveling wave corresponding to the feeder terminal unit, and calculating the head wave energy density corresponding to the feeder terminal unit.

[0093] Among them, when the energy of the forward wave is greater than that of the reverse wave, the first wave head energy density is the first wave head energy density of the forward wave; when the energy of the forward wave is less than that of the reverse wave, the first wave head energy density is the first wave head energy density of the reverse wave.

[0094] In an optional implementation, the energy ratio calculation process includes:

[0095] 1. Determine the first mutation time point corresponding to the forward wave, and select the second mutation time point and the third mutation time point from each first mutation time point. The second mutation time point and the third mutation time point are the first two mutation time points in the first mutation time point.

[0096] Exemplarily, the process of determining the second mutation time point and the third mutation time point of the forward wave is as follows:

[0097] 1.1, the morphological gradient of the forward wave is calculated using the following formula:

[0098]

[0099]

[0100]

[0101] Where SE is the period from time t to time t+s, t is the time, s is the preset duration, is the signal of the forward wave at time t, is the erosion result of the forward wave, is the expansion erosion result of the forward wave, is the morphological gradient of the forward wave.

[0102] 1.2, set the mutation point threshold:

[0103]

[0104] Where, is the median of the morphological gradient, k is a constant, which is 2.5. is the mutation point threshold.

[0105] 1.3, if , then time t is the first mutation time point.

[0106] In this way, multiple first mutation time points can be determined, from which the first two first mutation time points are selected as the second mutation time points. and the third mutation time point .

[0107] 2. Determine the fourth mutation time point corresponding to the reverse wave, and select the fifth mutation time point and the sixth mutation time point from each fourth mutation time point. The fifth mutation time point and the sixth mutation time point are the first two mutation time points in the fourth mutation time point. It is understandable that the fifth mutation time point is determined. and the sixth mutation time point The method can refer to the second mutation time point and the third mutation time point How to determine.

[0108] 3. Calculate the energy of the forward wave and the reverse wave according to the smaller value between the second mutation time point and the fifth mutation time point, and the smaller value between the third mutation time point and the sixth mutation time point.

[0109] 4. Calculate the energy ratio based on the energy of the forward wave and the reverse wave.

[0110] For example, the energy of the forward and reverse waves is calculated using the following formula:

[0111]

[0112] Where, is the energy of the forward wave, is the energy of the counter-traveling wave, is the energy ratio.

[0113] In an optional implementation, the first wave energy density can be calculated using the following formula:

[0114]

[0115] Where E is the energy density of the first wave.

[0116] S220: Determine a fault area according to a ratio of energies corresponding to the feeder terminal units.

[0117] In an optional implementation, S220 includes:

[0118] 1. If the energy ratio corresponding to the feeder terminal unit is greater than a preset value, the fault area is in the reverse direction of the feeder terminal unit; otherwise, the fault area is in the forward direction of the feeder terminal unit.

[0119] For example, for a feeder terminal unit, if , then the fault area is in the opposite direction of the feeder terminal unit; if , then the fault area is in the positive direction of the feeder terminal unit, thereby determining the fault direction.

[0120] 2. If the fault area is in the positive direction of the upper feeder terminal unit and in the negative direction of the lower feeder terminal unit, the fault area is between the upper feeder terminal unit and the lower feeder terminal unit.

[0121] It can be seen that the fault area can be accurately determined according to the fault directions of two feeder terminal units with a superior-subordinate relationship.

[0122] S230: Determine a fault section in the fault area according to the first wave head energy density.

[0123] In an optional implementation, S230 includes: determining a fault section in the fault area according to a ratio of a first wave head energy density corresponding to the upper feeder terminal unit and a first wave head energy density corresponding to the upper feeder terminal unit.

[0124] For example, see Figure 2B , assuming that in addition to the main line, there are m branches in the fault area AB, n is the number of the nth branch, is the first wave energy density of the upper feeder terminal unit, is the first wave energy density of the lower feeder terminal unit.

[0125] If the following pre-set conditions are met, the fault section is on the main line between the n-1th branch and the nth branch:

[0126]

[0127] If the following pre-set conditions are met, the faulty section is the nth branch:

[0128]

[0129] It can be seen that the fault section can be accurately determined by the ratio of the first wave head energy density of the feeder terminal units with a superior-subordinate relationship and the preset conditions.

[0130] Based on steps S210-S230 above, the corresponding energy ratio and first wave energy density are calculated for each feeder terminal unit. These energy ratios and first wave energy densities are then combined to determine the fault area and section, thereby improving fault location accuracy. Furthermore, since the fault area is determined based on energy ratios, the reliance on high-precision clock synchronization is effectively reduced, thereby improving the stability and robustness of fault location under complex operating conditions.

[0131] In the application scenario, Figure 3 The AC power distribution system shown is a 10kV AC power distribution system with full-scale renewable energy grid connection. The rated voltage is U N =10kV. f1 is a fault in section 4, and f2 is a fault in section 5. The lengths of sections 1 to 8 are 2km, 4km, 7km, 10km, 5km, 12km, 6km, and 3km, respectively. The line resistance r = 0.17027Ω / km, the line reactance x = 0.3364Ω / km, and the rated operating frequency is 50Hz.

[0132] Application Example 1:

[0133] Execute the distribution line fault section location method provided in the above embodiments. Figure 4A to Figure 4D , the calculated forward and reverse waves can be found in Figure 5A and Figure 5B .

[0134] For the forward wave of FTU1, the calculated second mutation time point and third mutation time point are =172µs, =219µs; for the reverse traveling wave of FTU1, the calculated fifth and sixth mutation time points are =155µs, = 202µs. Therefore, the time window for calculating the energy ratio of FTU1 is 155–202µs. For FTU1, the calculated energy ratio is 0.81736. The fault region is in the forward direction of FTU1, and the energy density of the reverse-traveling wave is 0.4965 pu.

[0135] For the forward wave of FTU2, the calculated second mutation time point and third mutation time point are =151µs, =170µs; for the reverse traveling wave of FTU2, the calculated fifth mutation time point and sixth mutation time point are =171µs, =190µs. Therefore, the time window for calculating the energy ratio of FTU2 is 151–170µs. For FTU2, the energy ratio obtained is 25.2037. The fault region is in the opposite direction of FTU2, and the energy density of the forward wave is 0.5145 pu.

[0136] Therefore, the fault area is between the two FTUs. According to the ratio of the wave head energy density of the two FTUs, which is 0.96496, the fault section is Section 4, which is the main line between the first and second branches.

[0137] Application Example 2:

[0138] Execute the distribution line fault section location method provided in the above embodiments. Figures 6A-6D , the calculated forward and reverse waves can be found in Figure 7A and Figure 7B .

[0139] For the forward wave of FTU1, the calculated second mutation time point and third mutation time point are =192µs, =212µs; for the reverse traveling wave of FTU1, the calculated fifth and sixth mutation time points are =174µs, =195µs. Therefore, the time window for calculating the energy ratio of FTU1 is 174–195µs. For FTU1, the calculated energy ratio is 0.61478. The fault region is in the forward direction of FTU1, and the energy density of the reverse-traveling wave is 0.2946pu.

[0140] For the forward wave of FTU2, the calculated second mutation time point and third mutation time point are =152µs, =172µs; for the reverse traveling wave of FTU2, the calculated fifth mutation time point and sixth mutation time point are =172µs, =192µs. Therefore, the time window for calculating the energy ratio of FTU2 is 152–172µs. For FTU2, the energy ratio obtained is 14.6122. The fault region is in the opposite direction of FTU2, and the energy density of the forward wave is 0.4550 pu.

[0141] Therefore, the fault area is between the two FTUs. According to the ratio of the wave head energy density of the two FTUs, which is 0.64752, the fault section is section 5, which is the second branch.

[0142] In other application examples, the fault location results are shown in Table 1 below:

[0143] Table 1 Fault location table

[0144]

[0145] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0146] Based on the same inventive concept, embodiments of the present application also provide a distribution line fault section locating device for implementing the aforementioned distribution line fault section locating method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the distribution line fault section locating device provided below can be found in the limitations of the distribution line fault section locating method described above and will not be further elaborated here.

[0147] In an exemplary embodiment, a device for locating a fault section of a distribution line is provided. Figure 8 The device includes a data acquisition module 810, a data processing module 820, a traveling wave calculation module 830 and a fault determination module 840, wherein:

[0148] The data acquisition module 810 is configured to acquire voltage and current data collected from each feeder terminal unit of the faulty distribution line within a preset period, wherein the preset period includes at least one power frequency cycle before the fault and at least one power frequency cycle after the fault;

[0149] The data processing module 820 is used to perform differential processing on the voltage and current data to obtain the fault components of the voltage and current, and perform optimal phase mode transformation processing on the fault components to obtain the line mode components of the fault components;

[0150] A traveling wave calculation module 830 is used to calculate the forward traveling wave and the reverse traveling wave of the line mode component;

[0151] The fault determination module 840 is configured to determine the fault area of ​​the faulty distribution line and the fault section within the fault area according to the forward-traveling waves and the reverse-traveling waves corresponding to each feeder terminal unit.

[0152] In one embodiment, the apparatus further comprises:

[0153] A mutation calculation module is used to calculate voltage and current mutation data at adjacent moments in a preset time period, where the voltage and current mutation data include voltage mutation amount and voltage mutation ratio, and / or current mutation amount and current mutation ratio;

[0154] A positioning start module is used to determine that fault location is required if the voltage and current mutation data meet a first condition; the first condition includes that the voltage mutation amount exceeds a first threshold and the voltage mutation ratio exceeds a second threshold, and / or, the current mutation amount exceeds a third threshold and the current mutation ratio exceeds a fourth threshold.

[0155] In one embodiment, the fault determination module includes:

[0156] a first calculation unit, configured to calculate, for each feeder terminal unit, a ratio of the energy of the forward wave to the energy of the reverse wave corresponding to the feeder terminal unit, and calculate a head-wave energy density corresponding to the feeder terminal unit; wherein, when the energy of the forward wave is greater than the energy of the reverse wave, the head-wave energy density is the head-wave energy density of the forward wave; and when the energy of the forward wave is less than the energy of the reverse wave, the head-wave energy density is the head-wave energy density of the reverse wave;

[0157] A first determining unit is configured to determine a fault area according to a ratio of energies corresponding to the feeder terminal units;

[0158] The second determining unit is configured to determine a fault section in the fault area according to the first wave energy density.

[0159] In one embodiment, the first calculation unit is specifically used to: determine the first mutation time point corresponding to the forward wave, and select the second mutation time point and the third mutation time point from each first mutation time point, the second mutation time point and the third mutation time point being the first two mutation time points among the first mutation time points; determine the fourth mutation time point corresponding to the reverse wave, and select the fifth mutation time point and the sixth mutation time point from each fourth mutation time point, the fifth mutation time point and the sixth mutation time point being the first two mutation time points among the fourth mutation time points; calculate the energies of the forward wave and the reverse wave respectively according to the smaller value of the second mutation time point and the fifth mutation time point and the smaller value of the third mutation time point and the sixth mutation time point; calculate the energy ratio according to the energies of the forward wave and the reverse wave.

[0160] In one embodiment, the first determination unit is specifically used to: if the ratio of the energies corresponding to the feeder terminal units is greater than a preset value, the fault area is in the reverse direction of the feeder terminal unit; otherwise, the fault area is in the positive direction of the feeder terminal unit; if the fault area is in the positive direction of the upper feeder terminal unit and in the reverse direction of the lower feeder terminal unit, the fault area is between the upper feeder terminal unit and the lower feeder terminal unit.

[0161] In one embodiment, determining the fault section in the fault area according to the first wave head energy density includes: determining the fault section in the fault area according to the ratio of the first wave head energy density corresponding to the upper feeder terminal unit and the first wave head energy density corresponding to the upper feeder terminal unit.

[0162] Each module in the above-mentioned distribution line fault section locating device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0163] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 9 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O) and a communication interface. The processor, memory and input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store relevant data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for locating a fault section of a distribution line is implemented.

[0164] Those skilled in the art will understand that Figure 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0165] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the distribution line fault section locating method provided in the above embodiments when executing the computer program.

[0166] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for locating a fault section of a distribution line provided in the above embodiments is implemented.

[0167] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method for locating a fault section of a distribution line provided in the above embodiments is implemented.

[0168] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0169] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0170] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0171] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for locating a fault section of a distribution line, characterized in that: include: Acquire voltage and current data collected by each feeder terminal unit of the faulty distribution line within a preset period, wherein the preset period includes at least one power frequency cycle before the fault and at least one power frequency cycle after the fault; performing differential processing on the voltage and current data to obtain fault components of the voltage and current, and performing optimal phase mode transformation processing on the fault components to obtain line mode components of the fault components; Calculating forward-traveling waves and reverse-traveling waves of the line mode component; The fault area of ​​the faulty distribution line and the fault section in the fault area are determined according to the forward-traveling waves and the reverse-traveling waves corresponding to the feeder terminal units.

2. The method according to claim 1, characterized in that Also includes: Calculating voltage and current mutation data at adjacent moments in the preset time period, wherein the voltage and current mutation data includes a voltage mutation amount and a voltage mutation ratio, and / or a current mutation amount and a current mutation ratio; If the voltage and current mutation data meets the first condition, it is determined that fault location needs to be performed; the first condition includes that the voltage mutation amount exceeds the first threshold and the voltage mutation ratio exceeds the second threshold, and / or, the current mutation amount exceeds the third threshold and the current mutation ratio exceeds the fourth threshold.

3. The method according to claim 1, characterized in that The determining of the fault area of ​​the faulty distribution line and the fault section in the fault area according to the forward-traveling waves and the reverse-traveling waves corresponding to each feeder terminal unit includes: For each feeder terminal unit, calculate the energy ratio of the forward wave and the reverse wave corresponding to the feeder terminal unit, and calculate the head wave energy density corresponding to the feeder terminal unit; wherein, when the energy of the forward wave is greater than the energy of the reverse wave, the head wave energy density is the head wave energy density of the forward wave; when the energy of the forward wave is less than the energy of the reverse wave, the head wave energy density is the head wave energy density of the reverse wave; determining a fault area according to a ratio of the energies corresponding to the feeder terminal units; A fault section in the fault area is determined according to the first wave energy density.

4. The method according to claim 3, characterized in that The calculating the energy ratio of the forward-traveling wave and the reverse-traveling wave corresponding to the feeder terminal unit includes: Determine a first mutation time point corresponding to the forward wave, and select a second mutation time point and a third mutation time point from each first mutation time point, where the second mutation time point and the third mutation time point are the first two mutation time points of the first mutation time points; Determine a fourth mutation time point corresponding to the reverse traveling wave, and select a fifth mutation time point and a sixth mutation time point from each fourth mutation time point, wherein the fifth mutation time point and the sixth mutation time point are the first two mutation time points among the fourth mutation time points; Calculating the energies of the forward wave and the reverse wave respectively according to the smaller value between the second mutation time point and the fifth mutation time point and the smaller value between the third mutation time point and the sixth mutation time point; The energy ratio is calculated based on the energies of the forward wave and the backward wave.

5. The method according to claim 3, characterized in that The determining of the fault area according to the energy ratio corresponding to each feeder terminal unit includes: If the energy ratio corresponding to the feeder terminal unit is greater than a preset value, the fault area is in the reverse direction of the feeder terminal unit; otherwise, the fault area is in the forward direction of the feeder terminal unit; If the fault area is in the positive direction of the upper feeder terminal unit and in the negative direction of the lower feeder terminal unit, the fault area is between the upper feeder terminal unit and the lower feeder terminal unit.

6. The method according to claim 3, characterized in that The determining of the fault section in the fault area according to the first wave energy density includes: The fault section in the fault area is determined according to the ratio of the first wave head energy density corresponding to the upper feeder terminal unit and the first wave head energy density corresponding to the upper feeder terminal unit.

7. A device for locating a fault section of a distribution line, characterized in that: include: A data acquisition module, configured to acquire voltage and current data collected from each feeder terminal unit of the faulty distribution line within a preset period, wherein the preset period includes at least one power frequency cycle before the fault and at least one power frequency cycle after the fault; a data processing module, configured to perform differential processing on the voltage and current data to obtain fault components of the voltage and current, and perform optimal phase mode transformation processing on the fault components to obtain line mode components of the fault components; A traveling wave calculation module, used for calculating the forward traveling wave and the reverse traveling wave of the line mode component; The fault determination module is used to determine the fault area of ​​the fault distribution line and the fault section in the fault area according to the forward-traveling waves and reverse-traveling waves corresponding to each feeder terminal unit.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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