Phase determination method of distribution network fault interval positioning transient data and related device

Abstract

The invention provides a phase determination method of distribution network fault interval positioning transient data and a related device. The method comprises the following steps: receiving a reference sequence which is sent by a central station and is based on a predetermined power frequency sampling rate and a predetermined power frequency period length; determining a plurality of waveform fragments with the same length as the reference sequence in a monitoring power frequency sequence; and determining a reference power frequency phase based on correlation between the plurality of waveform segments and a reference sequence. According to the embodiment of the invention, after the monitoring terminal collects the power frequency waveform, the power frequency reference phase can be quickly and conveniently calculated through the intelligent analysis algorithm, the power frequency waveform does not need to be uploaded, the requirement for operation performance is not high, the communication flow and power consumption of the monitoring terminal are greatly reduced, and the operation reliability of the monitoring terminal is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of distribution network fault monitoring, and in particular to a method for determining the phase of transient data for locating a distribution network fault interval and a related device. Background Art

[0002] Fault power frequency monitoring is a widely used technical means in power grids to detect distribution network line faults. At present, the distribution network fault indicator monitoring pulse phase extraction is achieved through the monitoring terminal through the power frequency sensor, generally based on the power frequency current sensor, to obtain the power frequency waveform with GPS clock information, and then upload it to the background center station. The power frequency reference phase is calculated through a complex algorithm, and then the pulse phase is calculated by calculating the time difference between the head time of the discharge pulse waveform with GPS precise time uploaded by the monitoring terminal and the power frequency waveform time. This calculation method has high efficiency and accuracy. However, this method requires the monitoring terminal to collect and upload the power frequency waveform, which increases the equipment power consumption and communication data traffic, and reduces the long-term operation reliability of the monitoring equipment.

[0003] Currently, there is no local phase calculation method. All phase calculations are performed by collecting power frequency quantities through monitoring terminals and uploading them to the back-end central station. Generally, the phase calculation is performed through the DFS algorithm, that is, the Fourier series. It requires complex trigonometric functions, inverse trigonometric functions, and complex number calculations. It is only suitable for servers with powerful computing capabilities and cannot be applied to monitoring terminals. Instead, the monitoring terminal must collect waveforms and upload them to the back-end central station. In this operating mode, the monitoring terminal needs to collect and upload power frequency waveforms at regular intervals, which increases power consumption and data communication, and brings adverse factors to the long-term operation of the monitoring terminal. Summary of the invention

[0004] In view of this, the present disclosure aims to provide a phase determination method and related devices for locating transient data in a distribution network fault section, so as to solve the above-mentioned technical problems in the prior art.

[0005] One aspect of the present disclosure provides a method for determining the phase of transient data for locating a distribution network fault section, comprising: receiving a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station; determining a plurality of waveform segments of equal length to the reference sequence in the monitored power frequency sequence; and determining a reference power frequency phase based on the correlation between the plurality of waveform segments and the reference sequence.

[0006] In some embodiments, in the reference sequence based on the predetermined power frequency sampling rate and the predetermined power frequency cycle length sent by the receiving central station, the reference sequence is a standard discrete sine sequence determined by the central station, and its expression is:

[0007]

[0008] Where n = 1, 2, 3...N, N = 0.02f s +1, N is the length of the reference sequence, f s is the power frequency sampling rate, and 0.02 is the power frequency period.

[0009] In some embodiments, determining multiple waveform segments of equal length to the reference sequence in the monitoring power frequency sequence includes: acquiring a monitoring power frequency sequence of not less than a predetermined length based on a collected discrete array; and cutting a waveform segment of equal length to the reference sequence from the nth point in the monitoring power frequency sequence, where n=1, 2, 3...N-1.

[0010] In some embodiments, the monitoring power frequency sequence of not less than a predetermined length is obtained based on the collected discrete array, and the predetermined length is a predetermined multiple of the power frequency period.

[0011] In some embodiments, determining the reference power frequency phase based on the correlation between the plurality of waveform segments and the reference sequence includes: respectively determining a plurality of correlation indexes between the plurality of waveform segments and the reference sequence; determining the maximum correlation index among the plurality of correlation indexes; and determining the reference power frequency phase based on the i-th waveform segment corresponding to the maximum correlation index.

[0012] In some embodiments, in respectively determining a plurality of correlation indexes between the plurality of waveform segments and the reference sequence, the correlation index is expressed as:

[0013]

[0014] Where yw1 represents the multiplication of the elements of array y and array w1, and E(yw1) is the average value; E(y 2 ) is the average of the squares of the elements in array y.

[0015] In some embodiments, determining the reference power frequency phase based on the i-th waveform segment corresponding to the maximum correlation index includes: determining the phase of the i-th point based on the i-th waveform segment; determining the absolute GPS time of the i-th point based on GPS clock information; and determining the reference power frequency phase based on the phase and absolute GPS time of the i-th point.

[0016] One aspect of the present disclosure provides a phase determination device for locating transient data in a distribution network fault section, comprising: a reference sequence receiving module, used to receive a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station; a waveform segment determination module, used to determine a plurality of waveform segments of the same length as the reference sequence in a monitored power frequency sequence; and a phase determination module, used to determine a reference power frequency phase based on the correlation between the plurality of waveform segments and the reference sequence.

[0017] Another aspect of an embodiment of the present disclosure provides a storage medium storing a computer program, wherein the computer program implements the steps of any of the above methods when executed by a processor.

[0018] Another aspect of an embodiment of the present disclosure provides an electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of any of the above methods when executing the computer program in the memory.

[0019] The disclosed embodiment can quickly and conveniently calculate the power frequency reference phase through an intelligent analysis algorithm after the monitoring terminal collects the power frequency waveform, without uploading the power frequency waveform. It does not require high computing performance, greatly reduces the communication traffic and power consumption of the monitoring terminal, and helps to improve the operating reliability of the monitoring terminal.

[0020] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In the drawings that are not necessarily drawn to scale, the same reference numerals may describe similar parts in different views. The same reference numerals with letter suffixes or different letter suffixes may represent different instances of similar parts. The drawings generally illustrate various embodiments by way of example and not limitation, and together with the specification and claims, are used to illustrate the disclosed embodiments. When appropriate, the same reference numerals are used throughout the drawings to refer to the same or similar parts. Such embodiments are illustrative and are not intended to be exhaustive or exclusive embodiments of the present apparatus or method. The drawings described herein are used to provide a further understanding of the present disclosure and constitute a part of this application. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation of the present disclosure. In the drawings:

[0022] Figure 1 It is a schematic diagram of the steps of the method for determining the phase of transient data for locating a distribution network fault interval provided by an embodiment of the present disclosure;

[0023] Figure 2It is a schematic diagram of the steps of the method for determining the phase of transient data for locating a distribution network fault interval provided by an embodiment of the present disclosure;

[0024] Figure 3 It is a schematic diagram of the steps of the method for determining the phase of transient data for locating a distribution network fault section provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0025] The specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings, but are not intended to limit the present disclosure.

[0026] It should be understood that various modifications may be made to the embodiments disclosed herein. Therefore, the above description should not be considered as limiting, but merely as an example of an embodiment. Other modifications within the scope and spirit of the present disclosure will occur to those skilled in the art.

[0027] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the general description of the present disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the present disclosure.

[0028] These and other characteristics of the present disclosure will become apparent from the following description of a preferred form of embodiment given as a non-limiting example, with reference to the attached drawings.

[0029] It should also be understood that, although the present disclosure has been described with reference to some specific examples, those skilled in the art will be able to realize many other equivalent forms of the present disclosure that have the features described in the claims and are therefore within the scope of protection defined thereby.

[0030] The above and other aspects, features and advantages of the present disclosure will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0031] Specific embodiments of the present disclosure are described hereinafter with reference to the accompanying drawings; however, it should be understood that the disclosed embodiments are merely examples of the present disclosure, which may be implemented in a variety of ways. Well-known and / or repeated functions and structures are not described in detail to avoid obscuring the present disclosure with unnecessary or redundant details. Therefore, the specific structural and functional details disclosed herein are not intended to be limiting, but merely serve as a basis and representative basis for the claims to teach those skilled in the art to use the present disclosure in a variety of ways with substantially any suitable detailed structure.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0033] This specification may use the phrases "in one embodiment," "in another embodiment," "in a further embodiment," or "in other embodiments," all of which may refer to one or more of the same or different embodiments according to the present disclosure.

[0034] The first embodiment of the present disclosure provides a method for determining the phase of transient data for locating a distribution network fault interval. The method is applied to a control device of a monitoring terminal, such as Figure 1 As shown, the phase determination method includes:

[0035] S101, receiving a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station.

[0036] In this step, a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station is received. Further, the reference sequence is a standard discrete sine sequence determined by the central station.

[0037] Specifically, during the operation of the power grid, the pulse current is collected by the monitoring terminal. It is assumed that the predetermined power frequency sampling rate for the collection by the monitoring terminal is f s , in Hz, before the monitoring terminal starts collecting pulse current, the preset power frequency sampling rate f s The central station is sent to the central station in the form of a message. The central station is used to manage and control the monitoring terminal. The central station constructs a reference sequence after receiving the predetermined power frequency sampling rate. The reference sequence is used as a reference object for correlation in the future. It can be in the form of an array. The reference sequence is particularly represented as a standard discrete sine sequence y. After the reference sequence is constructed, the reference sequence is sent to the control device of the monitoring terminal. The expression of the reference sequence is:

[0038]

[0039] Where n = 1, 2, 3...N, N = 0.02fs +1 is the length of the array y, that is, the length of the reference sequence. In addition, the predetermined power frequency period determined when constructing the reference sequence is 0.02s. When the sampling rate is f s When the sampling point number in one power frequency cycle is 0.02f s In order to serve as a reference object, the initial phase of the reference sequence here is 0, and the unit is rad.

[0040] S102, determining, in a monitoring power frequency sequence, a plurality of waveform segments having the same length as the reference sequence.

[0041] After receiving the reference sequence based on the predetermined power frequency sampling rate and the predetermined power frequency cycle length sent by the central station through the above step S101, in this step, multiple waveform segments of the same length as the reference sequence are determined in the monitoring power frequency sequence. The monitoring power frequency sequence here is obtained based on the data collected by the monitoring terminal, and the purpose of this step is to facilitate the comparison of the waveform segments in the monitoring power frequency sequence with the reference sequence.

[0042] Further, the determining of a plurality of waveform segments having the same length as the reference sequence in the monitoring power frequency sequence includes:

[0043] Based on the collected discrete array, a monitoring power frequency sequence of not less than a predetermined length is obtained. Further, the predetermined length here is a predetermined multiple of the power frequency period.

[0044] Specifically, since the central station sends the reference sequence y to the control device of the monitoring terminal, the control device needs to compare the waveform segments formed by the monitoring data with the reference sequence, without uploading the waveform segments acquired by monitoring to the central station for comparison. Specifically, the control device here saves the discrete array acquired by monitoring, and then determines a set of monitoring power frequency sequences with a length not less than a predetermined length in the saved discrete array, where the predetermined length is, for example, 0.06s (equivalent to three predetermined power frequency cycle lengths), and it is assumed here that the monitoring power frequency sequence is w.

[0045] A waveform segment having the same length as the reference sequence is intercepted from the nth point in the monitoring power frequency sequence, wherein n=1, 2, 3...N-1.

[0046] Specifically, when a monitoring power frequency sequence of not less than a predetermined length is obtained based on the collected discrete array, it is necessary to obtain a waveform segment in the monitoring power frequency sequence to be compared with the reference sequence. To this end, the control device of the monitoring terminal intercepts a waveform segment w1 with a total number of points N from the first point in the monitoring power frequency sequence w, where w1 has the same length as the reference power frequency sequence y, and then intercepts a waveform segment w2 with a total number of points N from the second point in w, and so on until a waveform segment w with a total number of points N is intercepted from the monitoring power frequency sequence w from the N-1th point in the monitoring power frequency sequence w. N-1 .

[0047] S103: Determine a reference power frequency phase based on correlations between the plurality of waveform segments and the reference sequence.

[0048] After a plurality of waveform segments of equal length to the reference sequence are determined in the monitoring power frequency sequence through the above step S102, in this step, a reference power frequency phase is determined based on the correlation between the plurality of waveform segments and the reference sequence. In this step, a correlation is obtained based on the comparison between the acquired waveform segments and the reference sequence, and a reference power frequency phase is determined based on the correlation.

[0049] In this embodiment, a standard sine function array constructed by a central station is received as a reference array. After collecting the industrial frequency waveform, the monitoring terminal intercepts an industrial frequency array of the same length as the reference array and calculates the correlation coefficient of the two arrays, and then intercepts and obtains multiple groups of correlation coefficients one by one. When the correlation coefficient is the largest, the phase of the corresponding intercepted industrial frequency array is equal to the phase of the original standard sine array.

[0050] Furthermore, the reference power frequency phase is determined based on the correlation between the plurality of waveform segments and the reference sequence, such as Figure 2 As shown, including:

[0051] S201, respectively determining a plurality of correlation indexes between a plurality of the waveform segments and the reference sequence.

[0052] In this step, a plurality of correlation indexes between the plurality of waveform segments and the reference sequence are determined respectively. N-1 Afterwards, the plurality of waveform segments are compared with the reference sequence to obtain a correlation index. Here, the correlation index between the waveform segment w1 and the sequence y is obtained by the following formula:

[0053]

[0054] Note: In the above formula, yw1 represents the multiplication of the elements of array y and array w1, and E(yw1) is the average value; E(y 2) is the average of the squares of the elements in array y.

[0055] S202: Determine a maximum correlation index among the plurality of correlation indexes.

[0056] After a plurality of correlation indexes between a plurality of the waveform segments and the reference sequence are respectively determined in the above step S201, in this step, a maximum correlation index is determined among the plurality of correlation indexes.

[0057] S203: Determine a reference power frequency phase based on the i-th waveform segment corresponding to the maximum correlation index.

[0058] After the maximum correlation index is determined among the plurality of correlation indexes in step S202 , in this step, the reference power frequency phase is determined based on the i-th waveform segment corresponding to the maximum correlation index.

[0059] Specifically, after obtaining the correlation index of w1 and y, continue to calculate the correlation index R2 of w2 and y. According to the same operation, take out the waveform segments from w one by one, obtain a series of R1, R2, R3, etc., and calculate to R N-1 When it ends, find out R1, R2, R3...R N-1 The maximum value among them, assuming that the maximum value is R i , which indicates that in the monitoring power frequency sequence w collected by the monitoring terminal, the sequence segment from the i-th point to the next N points has the greatest correlation with the constructed reference sequence y, and the reference power frequency phase can be determined based on this waveform segment.

[0060] Furthermore, the reference power frequency phase is determined based on the i-th waveform segment corresponding to the maximum correlation index, such as Figure 3 As shown, including:

[0061] S301, determining the phase of the i-th point based on the i-th waveform segment.

[0062] S302: Determine the absolute GPS time of the ith point based on the GPS clock information.

[0063] S303: Determine a reference power frequency phase based on the phase of the i-th point and the absolute GPS time.

[0064] Specifically, in monitoring the waveform segment w in the power frequency sequence w i After the waveform segment with the largest correlation index, it means that the phase φ of the i-th point i That is, it is equal to the phase of the reference sequence y, that is, 0rad. Further, according to the GPS clock information of the monitoring terminal, the absolute GPS time T of the i-th point in the monitoring power frequency sequence w is calculated and obtained.i The monitoring terminal will refer to the power frequency phase (φ i , T i ) information can be sent to the central station without uploading the industrial frequency waveform.

[0065] The disclosed embodiment can quickly and conveniently calculate the power frequency reference phase through an intelligent analysis algorithm after the monitoring terminal collects the power frequency waveform, without uploading the power frequency waveform. It does not require high computing performance, greatly reduces the communication traffic and power consumption of the monitoring terminal, and helps to improve the operating reliability of the monitoring terminal.

[0066] Based on the same inventive concept as the first embodiment, the second embodiment of the present disclosure provides a phase determination device for locating transient data in a distribution network fault section, characterized by comprising:

[0067] A reference sequence receiving module, used for receiving a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station;

[0068] A waveform segment determination module, used to determine a plurality of waveform segments of equal length to the reference sequence in the monitoring power frequency sequence;

[0069] The phase determination module is used to determine the reference power frequency phase based on the correlation between the plurality of waveform segments and the reference sequence.

[0070] Furthermore, the reference sequence is a standard discrete sine sequence determined by a central station, and its expression is:

[0071]

[0072] Where n = 1, 2, 3...N, N = 0.02f s +1, N is the length of the reference sequence, f s is the power frequency sampling rate, and 0.02 is the power frequency period.

[0073] Furthermore, the waveform segment determination module includes:

[0074] A monitoring power frequency sequence acquisition unit, used for acquiring a monitoring power frequency sequence of not less than a predetermined length based on the collected discrete array;

[0075] A waveform segment interception unit is used to intercept a waveform segment of the same length as the reference sequence from the nth point in the monitoring power frequency sequence, wherein n=1, 2, 3...N-1.

[0076] Furthermore, the predetermined length is a predetermined multiple of the power frequency period.

[0077] Furthermore, the phase determination module includes:

[0078] a correlation index determination unit, configured to respectively determine a plurality of correlation indexes between a plurality of the waveform segments and the reference sequence;

[0079] A maximum index determination unit, used to determine the maximum correlation index among the plurality of correlation indexes;

[0080] A phase determination unit is used to determine a reference power frequency phase based on the i-th waveform segment corresponding to the maximum correlation index.

[0081] Further, the correlation index is expressed as:

[0082]

[0083] Where yw1 represents the multiplication of the elements of array y and array w1, and E(yw1) is the average value; E(y 2 ) is the average of the squares of the elements in array y.

[0084] Furthermore, the phase determination unit comprises:

[0085] A first determining subunit, configured to determine a phase of an i-th point based on the i-th waveform segment;

[0086] A second determining subunit is used to determine the absolute GPS time of the i-th point based on the GPS clock information;

[0087] The third determining subunit is used to determine the reference power frequency phase based on the phase of the i-th point and the absolute GPS time.

[0088] The disclosed embodiment can quickly and conveniently calculate the power frequency reference phase through an intelligent analysis algorithm after the monitoring terminal collects the power frequency waveform, without uploading the power frequency waveform. It does not require high computing performance, greatly reduces the communication traffic and power consumption of the monitoring terminal, and helps to improve the operating reliability of the monitoring terminal.

[0089] A third embodiment of the present disclosure provides a storage medium storing a computer program. When the computer program is executed by a processor, the steps of implementing the above method include:

[0090] S11, receiving a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station;

[0091] S12, determining, in the monitoring power frequency sequence, a plurality of waveform segments of equal length to the reference sequence;

[0092] S13, determining a reference power frequency phase based on the correlation between the plurality of waveform segments and a reference sequence.

[0093] Of course, other steps of the control method can also be used to implement the above embodiment.

[0094] The disclosed embodiment can quickly and conveniently calculate the power frequency reference phase through an intelligent analysis algorithm after the monitoring terminal collects the power frequency waveform, without uploading the power frequency waveform. It does not require high computing performance, greatly reduces the communication traffic and power consumption of the monitoring terminal, and helps to improve the operating reliability of the monitoring terminal.

[0095] A fourth embodiment of the present disclosure provides an electronic device, the electronic device comprising at least a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the above method when executing the computer program on the memory, specifically comprising:

[0096] S21, receiving a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station;

[0097] S22, determining, in the monitoring power frequency sequence, a plurality of waveform segments of equal length to the reference sequence;

[0098] S23, determining a reference power frequency phase based on correlation between the plurality of waveform segments and a reference sequence.

[0099] The disclosed embodiment can quickly and conveniently calculate the power frequency reference phase through an intelligent analysis algorithm after the monitoring terminal collects the power frequency waveform, without uploading the power frequency waveform. It does not require high computing performance, greatly reduces the communication traffic and power consumption of the monitoring terminal, and helps to improve the operating reliability of the monitoring terminal.

[0100] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0101] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0102] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0103] In the embodiments provided in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0106] If the integrated module is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned motor torque control method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0107] In addition, the features of the embodiments shown in the drawings of the present application or the various embodiments mentioned in this specification are not necessarily understood as independent embodiments. Instead, each feature described in one example of an embodiment can be combined with one or more other desired features from other embodiments to produce other embodiments not described in words or with reference to the drawings.

[0108] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for determining the phase of transient data for locating a distribution network fault interval, characterized in that: include: A reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a receiving central station; Determining, in the monitoring power frequency sequence, a plurality of waveform segments of equal length to the reference sequence; A reference power frequency phase is determined based on correlation between a plurality of the waveform segments and a reference sequence.

2. The phase determination method according to claim 1, characterized in that: In the reference sequence based on the predetermined power frequency sampling rate and the predetermined power frequency cycle length sent by the receiving central station, the reference sequence is a standard discrete sine sequence determined by the central station, and its expression is: Where n = 1, 2, 3...N, N = 0.02f s +1, N is the length of the reference sequence, f s is the power frequency sampling rate, and 0.02 is the power frequency period.

3. The phase determination method according to claim 1, characterized in that: The step of determining a plurality of waveform segments having the same length as the reference sequence in the monitoring power frequency sequence comprises: Acquire a monitoring power frequency sequence of not less than a predetermined length based on the collected discrete array; A waveform segment having the same length as the reference sequence is intercepted from the nth point in the monitoring power frequency sequence, wherein n=1, 2, 3...N-1.

4. The phase determination method according to claim 3, characterized in that: The monitoring power frequency sequence of not less than a predetermined length is obtained based on the discrete array collected, and the predetermined length is a predetermined multiple of the power frequency period.

5. The phase determination method according to claim 1, characterized in that: The step of determining a reference power frequency phase based on correlations between the plurality of waveform segments and a reference sequence comprises: respectively determining a plurality of correlation indexes between a plurality of the waveform segments and the reference sequence; determining a maximum correlation index among a plurality of said correlation indices; A reference power frequency phase is determined based on the i-th waveform segment corresponding to the maximum correlation index.

6. The phase determination method according to claim 5, characterized in that: In the respectively determining of a plurality of correlation indexes between the plurality of waveform segments and the reference sequence, the correlation index is expressed as: Where yw1 represents the multiplication of the elements of array y and array w1, and E(yw1) is the average value; E(y 2 ) is the average of the squares of the elements in array y.

7. The phase determination method according to claim 5, characterized in that: The determining of the reference power frequency phase based on the i-th waveform segment corresponding to the maximum correlation index includes: Determining the phase of the i-th point based on the i-th waveform segment; Determine the absolute GPS time of the i-th point based on the GPS clock information; A reference power frequency phase is determined based on the phase of the i-th point and the absolute GPS time.

8. A phase determination device for locating transient data in a distribution network fault section, characterized in that: include: A reference sequence receiving module, used for receiving a reference sequence based on a predetermined power frequency sampling rate and a predetermined power frequency cycle length sent by a central station; A waveform segment determination module, used to determine a plurality of waveform segments of equal length to the reference sequence in the monitoring power frequency sequence; The phase determination module is used to determine the reference power frequency phase based on the correlation between the plurality of waveform segments and the reference sequence.

9. A storage medium storing 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 7 are implemented.

10. An electronic device, comprising at least a memory and a processor, wherein a computer program is stored in the memory, wherein: The processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program on the memory.

Images