Distribution network fault simulation method and simulation device

Abstract

The present invention relates to a distribution network fault simulation method and simulation device, the method comprising marking suspected fault location points in a virtual distribution network to obtain suspected fault location mapping points; using a first fault waveform group to associate the suspected fault location mapping points to obtain a suspected fault location point diagram; determining the starting point of the suspected fault location point diagram; using the starting point of the suspected fault location point diagram and a second fault waveform group to locally correct the suspected fault location point diagram to obtain a suspected fault location point correction diagram; determining the starting point of the suspected fault location point correction diagram and using the starting point as the fault location range. The distribution network fault simulation method and simulation device disclosed by the present invention simulates in a virtual distribution network through collected data, the data is analyzed with nodes as reference and combined with interval characteristics to quickly determine the fault location.

Description

Technical Field

[0001] The present invention relates to the field of smart grid technology, and in particular to a distribution network fault simulation method and a simulation device. Background Art

[0002] The distribution network is radial, with dense line switches and many branches, which makes it difficult for dispatchers to identify and judge on-site faults. With the advancement of distribution automation, massive terminal devices collect and upload electrical information of the distribution network, providing new possibilities for dispatchers to understand the on-site situation of the distribution network.

[0003] At present, there are two main types of distribution network fault diagnosis methods:

[0004] One is the matrix method, which constructs a distribution network fault section matrix and extracts matrix fault elements to analyze the distribution network. This method has high requirements on the accuracy of distribution network information. Once the key fault information of the outgoing terminal is lost, it is difficult to apply.

[0005] Another method is to use artificial intelligence algorithms to simulate the fault section, and then infer the switch information under the simulated fault condition, so that the switch information is closest to the actual situation, and then the fault simulated by the algorithm is considered to be the actual fault. This type of method has a certain fault tolerance, but as the number of switches in the distribution network increases, the intelligent algorithm is prone to dimensionality disaster, resulting in low solution efficiency or even failure. Summary of the invention

[0006] The present invention provides a distribution network fault simulation method and a simulation device, which simulates in a virtual distribution network through collected data, with the data taking nodes as references and analyzing in combination with interval characteristics to quickly determine the fault location.

[0007] The above object of the present invention is achieved through the following technical solutions:

[0008] In a first aspect, the present invention provides a distribution network fault simulation method, comprising:

[0009] Parse the received fault data packet to obtain fault data and suspected fault location points;

[0010] Mark the suspected fault location points in the virtual distribution network generated based on the digital twin to obtain the suspected fault location mapping points;

[0011] Transferring the fault data into the frequency domain for analysis to obtain a first fault waveform group;

[0012] Associating the suspected fault location mapping points using the first fault waveform group to obtain a suspected fault location point map;

[0013] Determine the starting point of the suspected fault location point map;

[0014] Transferring the fault data into the time domain and frequency domain for analysis to obtain a second fault waveform group;

[0015] Using the starting point of the suspected fault location point diagram and the second fault waveform group, the suspected fault location point diagram is locally corrected to obtain a suspected fault location point correction diagram;

[0016] Determine the starting point of the suspected fault location point correction map and use the starting point as the fault location range.

[0017] In a possible implementation manner of the first aspect, associating the suspected fault location mapping points using the first fault waveform group includes:

[0018] Determining the direction of the first fault waveform group according to the flow direction of the current in the virtual distribution network;

[0019] Determine a connection relationship between two suspected fault location mapping points with physical properties in the virtual distribution network;

[0020] evaluating the correlation of the first fault waveform groups belonging to the two suspected fault location mapping points;

[0021] According to the correlation evaluation result, two suspected fault location mapping points are selected to be placed in the suspected fault location point map or determined to be not correlated.

[0022] In a possible implementation manner of the first aspect, evaluating the correlation of the first fault waveform group belonging to the two suspected fault location mapping points includes:

[0023] The two suspected fault position mapping points are respectively recorded as a front suspected fault position mapping point and a rear suspected fault position mapping point;

[0024] Load the characteristic waveform onto the fault data of the mapping point of the previous suspected fault position to obtain the predicted fault data;

[0025] comparing the predicted fault data with the similarity of the fault data at the predicted fault data;

[0026] The correlation between the mapping points belonging to the two suspected fault locations is given based on the similarity comparison results.

[0027] In a possible implementation of the first aspect, when the number of the front suspected fault position mapping points is multiple, the time difference is calculated according to the distance between the front suspected fault position mapping point and the rear first fault waveform group, and the characteristic waveform is loaded onto the fault data of the front suspected fault position mapping point according to the time difference.

[0028] In a possible implementation of the first aspect, the fault data is transferred into the time domain and the frequency domain for analysis, and the second fault waveform group is obtained, including:

[0029] Transfer the fault data into the time domain and frequency domain for analysis to obtain the fault data waveform;

[0030] Transfer at least the previous characteristic waveform in the position sequence into the time domain and frequency domain for analysis to obtain a basis for grouping;

[0031] The next fault data waveform in the position sequence is grouped using a grouping basis to obtain a second fault waveform group, where the second fault waveform group includes a plurality of subgroups.

[0032] In a possible implementation manner of the first aspect, correcting the suspected fault location point diagram using the second fault waveform group includes:

[0033] Selecting a fault location starting point in the suspected fault location point map, where the fault location starting point is a suspected fault location mapping point in the suspected fault location point map;

[0034] Divide the suspected fault location mapping points in the suspected fault location point diagram into levels according to the fault location starting point and the current direction, wherein one level includes at least one suspected fault location mapping point;

[0035] Binding the subgroups in the second fault waveform group in the next level to the suspected fault location mapping points in the previous level, with one subgroup being bound to one suspected fault location mapping point;

[0036] Correct the suspected fault location point map based on the binding results.

[0037] In a possible implementation manner of the first aspect, when at least a previous characteristic waveform on the position sequence is transferred to the time domain and the frequency domain for analysis, a ratio of the number of preceding characteristic waveforms to the number of subgroups is greater than or equal to a set threshold.

[0038] In a second aspect, the present invention provides a distribution network fault simulation device, comprising:

[0039] A first data processing unit is used to parse the received fault data packet to obtain fault data and suspected fault location points;

[0040] A location marking unit is used to mark the suspected fault location point in the virtual distribution network generated based on the digital twin to obtain a suspected fault location mapping point;

[0041] A second data processing unit is used to transfer the fault data into the frequency domain for analysis to obtain a first fault waveform group;

[0042] A position association unit, used to associate suspected fault position mapping points using the first fault waveform group to obtain a suspected fault position point map;

[0043] A third data processing unit is used to transfer the fault data into the time domain and the frequency domain for analysis to obtain a second fault waveform group;

[0044] A first position correction unit is used to correct the suspected fault position point diagram using the second fault waveform group to obtain a suspected fault position point correction diagram;

[0045] The second position correction unit is used to determine the starting point of the suspected fault position point correction map and use the starting point as the fault position range.

[0046] In a third aspect, the present invention provides a distribution network fault simulation system, the system comprising:

[0047] one or more memories for storing instructions; and

[0048] One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

[0049] In a fourth aspect, the present invention provides a computer-readable storage medium, the computer-readable storage medium comprising:

[0050] Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0051] In a fifth aspect, the present invention provides a computer program product, comprising program instructions, and when the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0052] In a sixth aspect, the present invention provides a chip system comprising a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0053] The chip system may be composed of chips, or may include chips and other discrete devices.

[0054] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of the steps of a distribution network fault simulation method provided by the present invention.

[0056] Figure 2 It is a schematic diagram of distributing and sending data by a data collection terminal provided by the present invention.

[0057] Figure 3 It is a schematic diagram of marking a suspected fault location point provided by the present invention.

[0058] Figure 4 It is a suspected fault location point map provided by the present invention.

[0059] Figure 5 It is a suspected fault location point correction diagram provided by the present invention.

[0060] Figure 6 It is a schematic diagram of a characteristic waveform corresponding range provided by the present invention.

[0061] Figure 7 This is a schematic diagram of hierarchical division provided by the present invention. DETAILED DESCRIPTION

[0062] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings.

[0063] The present invention discloses a method for simulating a distribution network fault. In some examples, see Figure 1 The distribution network fault simulation method disclosed in the present invention comprises the following steps:

[0064] S101, parsing the received fault data packet to obtain fault data and suspected fault location points;

[0065] S102, marking the suspected fault location point in the virtual distribution network generated based on the digital twin to obtain a suspected fault location mapping point;

[0066] S103, transferring the fault data into the frequency domain for analysis to obtain a first fault waveform group;

[0067] S104, using the first fault waveform group to associate the suspected fault location mapping points to obtain a suspected fault location point map;

[0068] S105, determining the starting point of the suspected fault location point map;

[0069] S106, transferring the fault data into the time domain and the frequency domain for analysis to obtain a second fault waveform group;

[0070] S107, using the starting point of the suspected fault location point diagram and the second fault waveform group to perform local correction on the suspected fault location point diagram to obtain a suspected fault location point correction diagram;

[0071] S108, determining a starting point of the suspected fault location point correction map and using the starting point as the fault location range.

[0072] First of all, please refer to Figure 2 The distribution network fault simulation method disclosed in the present invention needs to be carried out in combination with a data acquisition terminal and an analysis server. The analysis server can be a cloud server or a local server. The data acquisition terminal sends the collected data to the analysis server for analysis, and then obtains the results.

[0073] The execution subject of the distribution network fault simulation method disclosed in the present invention is an analysis server, which is collectively referred to as a server in the following content for the convenience of description.

[0074] In step S101, the server first parses the received fault data packet to obtain fault data and suspected fault location points. The data packet is generated by a data acquisition terminal, and the location of the data acquisition terminal is known. The data acquisition terminal packages the collected fault data and location and sends them to the server.

[0075] By parsing the fault data packet, the server can obtain the fault data and the suspected fault location point. Because the fault data will also be transmitted in the distribution network, the location of the data acquisition terminal here is called the suspected fault location point.

[0076] The data acquisition terminal will also collect data and perform basic analysis on the data during the working process. Here it can be identified whether the data is normal data or fault data. When it is found that the data collected at this time is fault data, it will be sent to the server in time.

[0077] In some possible implementations, the data acquisition terminal determines by analyzing the obtained waveform. Simply put, there are two types of waveforms: normal waveforms and abnormal waveforms. When an abnormal waveform appears, the data acquisition terminal sends the collected data to the server.

[0078] In step S102, refer to Figure 3 , the suspected fault location points will be marked in the virtual distribution network generated based on the digital twin to obtain the suspected fault location mapping points. The virtual distribution network generated based on the digital twin is a distribution network rebuilt in a virtual environment.

[0079] After the suspected fault location mapping points are marked, the fault data is analyzed. The analysis is divided into two steps. The first step is performed in step S103. At this time, the fault data is transferred to the frequency domain for analysis to obtain the first fault waveform group. Then, in step S104, the first fault waveform group is used to associate the suspected fault location mapping points to obtain a suspected fault location point map.

[0080] Because the first fault waveform group propagates in the distribution network, the first fault waveform group can be connected according to the propagation path. The resulting graph is called a suspected fault location point graph. Figure 4 Based on the suspected fault location point diagram, the starting point of the suspected fault location point diagram can be obtained, that is, the content in step S105.

[0081] Then in step S106, the fault data is transferred to the time domain and the frequency domain for analysis to obtain a second fault waveform group. The second fault waveform group has a time feature and can reflect the propagation time of the waveform corresponding to the fault in the power grid.

[0082] In this way, the propagation time difference can be calculated, and then, in step S107, the suspected fault location point diagram is locally corrected using the starting point of the suspected fault location point diagram and the second fault waveform group to obtain a suspected fault location point correction diagram. Figure 5 As shown, at this time, the correction is only performed on the part of the suspected fault location point map.

[0083] Finally, in S108, the starting point of the suspected fault location point correction map is determined and the starting point is used as the fault location range. Because part of the suspected fault location point map has been corrected, the starting point of the suspected fault location point correction map needs to be determined again.

[0084] For example, Figure 5 When the direction of the current changes, the two suspected fault location points no longer have a physical connection relationship, which means that the point in the upper left corner is the starting point.

[0085] In general, the technical solution provided by the present invention first performs a basic position association to obtain a suspected fault location point map, and then corrects the suspected fault location point map, and then the fault location range can be obtained. This method uses a processing method that combines the early fuzzy judgment and the later precise judgment method, which can quickly determine the fault location or fault location range.

[0086] In some examples, the specific manner of associating the suspected fault location mapping points using the first fault waveform group is:

[0087] S201, determining the direction of the first fault waveform group according to the flow direction of the current in the virtual distribution network;

[0088] S202, determining a connection relationship between two suspected fault location mapping points having physical properties in the virtual distribution network;

[0089] S203, evaluating the correlation of the first fault waveform group belonging to the two suspected fault position mapping points;

[0090] S204: According to the correlation evaluation result, two suspected fault location mapping points are selected to be placed in a suspected fault location point map or determined to be not correlated.

[0091] The content of step S201 to step S204 is to first determine the direction of the first fault waveform group according to the flow direction of the current in the virtual distribution network. Because in the virtual distribution network, the direction of the current is also consistent with the current direction in the distribution network. The distribution network is alternating current, and the current direction changes dynamically. It is necessary to first determine the flow direction of the current.

[0092] Next, it is determined that the two suspected fault location mapping points have a physical connection relationship in the virtual distribution network. The physical connection relationship here means that the two suspected fault location mapping points can be directly connected together through wires and related power equipment.

[0093] Then, the correlation of the first fault waveform group belonging to the two suspected fault location mapping points is evaluated, and finally, according to the correlation evaluation result, the two suspected fault location mapping points are selected to be placed in the suspected fault location point map or determined to have no correlation.

[0094] Because the two suspected fault location mapping points have a physical connection relationship, but are not necessarily associated based on the first fault waveform group, that is, the first fault waveform group does not necessarily propagate along this part of the wire, and needs to be associated through the first fault waveform group.

[0095] When two suspected fault locations are associated, they are placed in the suspected fault location point map; when two suspected fault locations are not associated, they are not placed in the suspected fault location point map.

[0096] A specific method of evaluating the correlation of the first fault waveform group belonging to the two suspected fault location mapping points is:

[0097] S301, recording two suspected fault location mapping points as a front suspected fault location mapping point and a rear suspected fault location mapping point respectively;

[0098] S302, loading the characteristic waveform onto the fault data of the previous suspected fault location mapping point to obtain predicted fault data;

[0099] S303, comparing the similarity between the predicted fault data and the fault data at the predicted fault data;

[0100] S304: providing the correlation between the two suspected fault location mapping points according to the similarity comparison result.

[0101] In step S301 to step S304, first, two suspected fault position mapping points are recorded as a front suspected fault position mapping point and a rear suspected fault position mapping point, respectively. For the convenience of description, the front and rear are selected according to the current direction. In the current direction, the front suspected fault position mapping point is located behind the rear suspected fault position mapping point.

[0102] Then, the characteristic waveform is loaded onto the fault data of the previous suspected fault location mapping point to obtain the predicted fault data. Figure 6 , the characteristic waveform here is an existing parameter, and the specific acquisition method is that when the distribution network is operating normally, a test waveform is emitted by the front suspected fault location mapping point, and then the deformation of the waveform is obtained at the rear suspected fault location mapping point.

[0103] The test waveform is removed from the waveform obtained at the post-suspected fault position mapping point, and the remaining waveform is directly used as the characteristic waveform. The range of the characteristic waveform is between the pre-suspected fault position mapping point and the post-suspected fault position mapping point.

[0104] Finally, the correlation of the mapping points belonging to the two suspected fault locations is given according to the similarity comparison results. The similarity is generally required to be greater than or equal to 0.95, or it can be appropriately lowered according to the detection accuracy.

[0105] In some possible implementations, when the number of the front suspected fault location mapping points is multiple, the time difference is calculated according to the distance between the front suspected fault location mapping point and the rear first fault waveform group, and the characteristic waveform is loaded onto the fault data of the front suspected fault location mapping point according to the time difference.

[0106] The time difference (time interval) is introduced here to improve the accuracy when comparing the similarity between the predicted post-feature waveform and the post-feature waveform.

[0107] In some examples, the fault data is transferred into the time domain and the frequency domain for analysis, and the specific method of obtaining the second fault waveform group is:

[0108] S401, transferring the fault data into the time domain and frequency domain for analysis to obtain a fault data waveform;

[0109] S402, transferring at least the previous characteristic waveform in the position sequence into the time domain and the frequency domain for analysis to obtain a grouping basis;

[0110] S403, grouping the next fault data waveform on the position sequence using a grouping basis to obtain a second fault waveform group, wherein the second fault waveform group includes a plurality of sub-groups.

[0111] In step S401 to step S403, the time domain and frequency domain are introduced simultaneously, so that the obtained fault data waveform has both time domain characteristics and frequency domain characteristics, that is, for a certain waveform, not only its frequency and amplitude are known, but also its appearance time and disappearance time can be known.

[0112] Then, at least the previous characteristic waveform in the position sequence is transferred to the time domain and frequency domain for analysis to obtain a grouping basis. The grouping basis here refers to a waveform group obtained by analyzing an entire previous characteristic waveform in the time domain and frequency domain as a grouping basis.

[0113] Finally, the next fault data waveform on the position sequence is grouped using the grouping basis to obtain a second fault waveform group, which includes a plurality of subgroups, and each subgroup has a clear corresponding relationship.

[0114] In some examples, the method of correcting the suspected fault location point diagram using the second fault waveform group is:

[0115] S501, selecting a fault location starting point in the suspected fault location point map, where the fault location starting point is a suspected fault location mapping point in the suspected fault location point map;

[0116] S502, dividing the suspected fault location mapping points in the suspected fault location point map into levels according to the fault location starting point and the current direction, wherein one level includes at least one suspected fault location mapping point;

[0117] S503, binding the subgroups in the second fault waveform group in the next layer to the suspected fault location mapping points in the previous layer, with one subgroup bound to one suspected fault location mapping point;

[0118] S504: Correct the suspected fault location point map according to the binding result.

[0119] In step S501 to step S504, the fault location starting point is first selected, and then the suspected fault location mapping points in the suspected fault location point map are hierarchically divided according to the fault location starting point and the current direction. At this time, multiple levels are obtained. Figure 7 As shown, if the fault location starting point is placed in the first level, then the suspected fault location mapping point in the second level has a direct relationship with the suspected fault location mapping point in the first level, the suspected fault location mapping point in the third level has a direct relationship with the suspected fault location mapping point in the second level, and so on.

[0120] Then, the subgroups in the second fault waveform group in the next level are bound to the suspected fault location mapping points in the previous level, one subgroup is bound to one suspected fault location mapping point, and finally the suspected fault location point map is corrected according to the binding result.

[0121] It should be understood that the fault location starting points here still have a hierarchical relationship. If a subgroup in the latter level appears in the previous level, then the two suspected fault location mapping points corresponding to the subgroup have a connection relationship, otherwise they do not have a connection relationship.

[0122] Taking the error into consideration, when determining the occurrence, the similarity between the two subgroups needs to be greater than or equal to the allowed threshold, and the allowed threshold is generally in the range of 0.95-0.98.

[0123] Combined with the content recorded in the foregoing, each sub-group has a clear corresponding relationship. Therefore, through the clear corresponding relationship, the relationship between the suspected fault location mapping points can be determined, thereby realizing the correction of the suspected fault location point map.

[0124] In some possible implementations, when at least a previous characteristic waveform on the position sequence is transferred to the time domain and the frequency domain for analysis, the ratio of the number of previous characteristic waveforms to the number of subgroups is greater than or equal to a set threshold.

[0125] This is to solve the impact caused by interference. It should be understood that interference always exists and accounts for a certain proportion. By increasing the number of pre-characteristic waveforms, the proportion of interference can be reduced. Here, the ratio of the number of pre-characteristic waveforms to the number of sub-groups needs to be greater than or equal to the set threshold. For example, if the set threshold is 0.8, then when the number of sub-groups is five, the number of pre-characteristic waveforms needs to be at least four.

[0126] The present invention also provides a distribution network fault simulation device, comprising:

[0127] A first data processing unit is used to parse the received fault data packet to obtain fault data and suspected fault location points;

[0128] A location marking unit is used to mark the suspected fault location point in the virtual distribution network generated based on the digital twin to obtain a suspected fault location mapping point;

[0129] A second data processing unit is used to transfer the fault data into the frequency domain for analysis to obtain a first fault waveform group;

[0130] A position association unit, used to associate suspected fault position mapping points using the first fault waveform group to obtain a suspected fault position point map;

[0131] A location determination unit, used to determine a starting point of a suspected fault location point diagram;

[0132] A third data processing unit is used to transfer the fault data into the time domain and the frequency domain for analysis to obtain a second fault waveform group;

[0133] A first position correction unit performs local correction on the suspected fault position point diagram using the starting point of the suspected fault position point diagram and the second fault waveform group to obtain a suspected fault position point correction diagram;

[0134] The second position correction unit is used to determine the starting point of the suspected fault position point correction map and use the starting point as the fault position range.

[0135] Furthermore, it also includes:

[0136] A direction determination unit, configured to determine a direction of the first fault waveform group according to a flow direction of current in the virtual distribution network;

[0137] A relationship determination unit, used to determine a connection relationship having physical properties between two suspected fault location mapping points in a virtual distribution network;

[0138] A correlation evaluation unit, used to evaluate the correlation of the first fault waveform group belonging to the two suspected fault position mapping points;

[0139] The point map processing unit is used to select, according to the correlation evaluation result, to put two suspected fault location mapping points into the suspected fault location point map or determine them as having no correlation.

[0140] Furthermore, it also includes:

[0141] An identity marking unit, used to record two suspected fault location mapping points as a front suspected fault location mapping point and a rear suspected fault location mapping point respectively;

[0142] A loading unit, used for loading the characteristic waveform onto the fault data of the preceding suspected fault location mapping point to obtain predicted fault data;

[0143] a comparing unit, used for comparing the predicted fault data with the similarity of the fault data at the predicted fault data;

[0144] The result output unit is used to give the correlation of the mapping points belonging to the two suspected fault locations according to the similarity comparison result.

[0145] Furthermore, when there are multiple front first fault waveform groups, the time difference is calculated according to the distance between the front first fault waveform group and the rear first fault waveform group, and the front basic waveform is superimposed on the front characteristic waveform according to the time difference.

[0146] Furthermore, it also includes:

[0147] The first analysis unit is used to transfer the fault data into the time domain and the frequency domain for analysis to obtain the fault data waveform;

[0148] A second parsing unit is used to transfer at least the previous characteristic waveform on the position sequence into the time domain and the frequency domain for parsing to obtain a grouping basis;

[0149] The grouping unit is used to group the next fault data waveform on the position sequence using the grouping basis to obtain a second fault waveform group, wherein the second fault waveform group includes a plurality of sub-groups.

[0150] Furthermore, it also includes:

[0151] A selection unit, used for selecting a fault location starting point in the suspected fault location point map, the fault location starting point being a suspected fault location mapping point in the suspected fault location point map;

[0152] A hierarchical division unit, used for dividing the suspected fault location mapping points in the suspected fault location point map into hierarchical divisions according to the fault location starting point and the current direction, wherein one hierarchy includes at least one suspected fault location mapping point;

[0153] A binding unit, used to bind the subgroups in the second fault waveform group in the next level to the suspected fault location mapping points in the previous level, one subgroup is bound to one suspected fault location mapping point;

[0154] The correction unit is used to correct the suspected fault location point map according to the binding result.

[0155] Further, when at least a previous characteristic waveform on the position sequence is transferred into the time domain and the frequency domain for analysis, the ratio of the number of the previous characteristic waveforms to the number of the subgroups is greater than or equal to a set threshold.

[0156] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0157] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0158] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in the present invention are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in the present invention should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0159] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0160] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the 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.

[0161] 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.

[0162] Those skilled 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 the present invention.

[0163] It should also be understood that in various embodiments of the present invention, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present invention.

[0164] It should also be understood that in the various embodiments of the present invention, unless otherwise specified or there is any logical conflict, the terms and / or descriptions between the different embodiments are consistent and can be referenced to each other, and the technical features in the different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0165] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a computer-readable storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0166] The present invention also provides a distribution network fault simulation system, the system comprising:

[0167] one or more memories for storing instructions; and

[0168] One or more processors are used to call and run the instructions from the memory to execute the method as described above.

[0169] The present invention also provides a computer program product, which includes instructions. When the instructions are executed, the terminal device and the network device perform operations of the terminal device and the network device corresponding to the above method.

[0170] The present invention also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0171] The chip system may be composed of chips, or may include chips and other discrete devices.

[0172] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0173] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0174] Optionally, the computer instructions are stored in a memory.

[0175] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0176] It can be understood that the memory in the present invention can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0177] The nonvolatile memory may be ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), or flash memory.

[0178] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory.

[0179] The embodiments of this specific implementation method are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A distribution network fault simulation method, characterized in that: include: Parse the received fault data packet to obtain fault data and suspected fault location points; wherein the suspected fault location point is the location of the data acquisition terminal; Mark the suspected fault location points in the virtual distribution network generated based on the digital twin to obtain the suspected fault location mapping points; Transferring the fault data into the frequency domain for analysis to obtain a first fault waveform group; Associating the suspected fault location mapping points using the first fault waveform group to obtain a suspected fault location point map; Determine the starting point of the suspected fault location point map; Transferring the fault data into the time domain and frequency domain for analysis to obtain a second fault waveform group; Using the starting point of the suspected fault location point diagram and the second fault waveform group, the suspected fault location point diagram is locally corrected to obtain a suspected fault location point correction diagram; Determine the starting point of the suspected fault location point correction map and use the starting point of the suspected fault location point correction map as the fault location range; Using the first fault waveform group to associate the suspected fault location mapping points includes: Determining the direction of the first fault waveform group according to the flow direction of the current in the virtual distribution network; Determine that two suspected fault location mapping points have a physical connection relationship in the virtual distribution network; wherein the physical connection relationship means that the two suspected fault location mapping points can be directly connected together through wires and related power equipment; evaluating the correlation of the first fault waveform group belonging to the two suspected fault location mapping points; According to the correlation evaluation result, two suspected fault location mapping points are selected to be placed in the suspected fault location point map or determined to be not correlated; wherein, when the two suspected fault location mapping points are correlated based on the first fault waveform group, the two suspected fault location mapping points are placed in the suspected fault location point map, and when the two suspected fault location mapping points are not correlated based on the first fault waveform group, the two suspected fault location mapping points are not placed in the suspected fault location point map; Evaluating the correlation of the first fault waveform group belonging to the two suspected fault location mapping points includes: The two suspected fault position mapping points are respectively recorded as a front suspected fault position mapping point and a rear suspected fault position mapping point; The characteristic waveform is loaded onto the fault data of the front suspected fault position mapping point to obtain the predicted fault data; wherein the characteristic waveform is obtained in a manner that when the distribution network is operating normally, a test waveform is emitted from the front suspected fault position mapping point, and then a deformation of the test waveform is obtained at the rear suspected fault position mapping point, and the test waveform is removed from the waveform obtained at the rear suspected fault position mapping point, and the remaining waveform is directly used as the characteristic waveform; comparing the predicted fault data with the similarity of the fault data at the predicted fault data; The correlation of the mapping points belonging to the two suspected fault locations is given according to the similarity comparison result; The fault data is transferred to the time domain and frequency domain for analysis, and the second fault waveform group is obtained, including: Transfer the fault data into the time domain and frequency domain for analysis to obtain the fault data waveform; The waveform group obtained by transferring at least the previous characteristic waveform on the position sequence into the time domain and the frequency domain for analysis is used as the basis for grouping; Using a grouping basis, grouping the next fault data waveform on the position sequence to obtain a second fault waveform group, wherein the second fault waveform group includes a plurality of subgroups; When transferring at least one previous characteristic waveform on the position sequence into the time domain and the frequency domain for analysis, the ratio of the number of the at least one previous characteristic waveform to the number of subgroups is greater than or equal to a set threshold; The local correction of the suspected fault location point diagram using the starting point of the suspected fault location point diagram and the second fault waveform group includes: Selecting a fault location starting point in the suspected fault location point map, where the fault location starting point is a suspected fault location mapping point in the suspected fault location point map; Divide the suspected fault location mapping points in the suspected fault location point diagram into levels according to the fault location starting point and the current direction, wherein one level includes at least one suspected fault location mapping point; Binding the subgroups in the second fault waveform group in the next level to the suspected fault location mapping points in the previous level, with one subgroup being bound to one suspected fault location mapping point; Correct the suspected fault location point map based on the binding results.

2. The method for simulating distribution network faults according to claim 1, characterized in that: When there are multiple front suspected fault location mapping points, the time difference is calculated according to the distance between the front suspected fault location mapping point and the rear first fault waveform group, and the characteristic waveform is loaded onto the fault data of the front suspected fault location mapping point according to the time difference.

3. A distribution network fault simulation device, characterized in that: include: A first data processing unit is used to parse the received fault data packet to obtain fault data and a suspected fault location point; wherein the suspected fault location point is the location where the data acquisition terminal is located; A location marking unit is used to mark the suspected fault location point in the virtual distribution network generated based on the digital twin to obtain a suspected fault location mapping point; A second data processing unit is used to transfer the fault data into the frequency domain for analysis to obtain a first fault waveform group; A position association unit, used to associate suspected fault position mapping points using the first fault waveform group to obtain a suspected fault position point map; A location determination unit, used to determine a starting point of a suspected fault location point diagram; A third data processing unit is used to transfer the fault data into the time domain and the frequency domain for analysis to obtain a second fault waveform group; A first position correction unit performs local correction on the suspected fault position point diagram using the starting point of the suspected fault position point diagram and the second fault waveform group to obtain a suspected fault position point correction diagram; A second position correction unit, used to determine a starting point of a suspected fault position point correction map and use the starting point of the suspected fault position point correction map as a fault position range; Using the first fault waveform group to associate the suspected fault location mapping points includes: Determining the direction of the first fault waveform group according to the flow direction of the current in the virtual distribution network; Determine that two suspected fault location mapping points have a physical connection relationship in the virtual distribution network; wherein the physical connection relationship means that the two suspected fault location mapping points can be directly connected together through wires and related power equipment; evaluating the correlation of the first fault waveform group belonging to the two suspected fault location mapping points; According to the correlation evaluation result, two suspected fault location mapping points are selected to be placed in the suspected fault location point map or determined to be not correlated; wherein, when the two suspected fault location mapping points are correlated based on the first fault waveform group, the two suspected fault location mapping points are placed in the suspected fault location point map, and when the two suspected fault location mapping points are not correlated based on the first fault waveform group, the two suspected fault location mapping points are not placed in the suspected fault location point map; Evaluating the correlation of the first fault waveform group belonging to the two suspected fault location mapping points includes: The two suspected fault position mapping points are respectively recorded as a front suspected fault position mapping point and a rear suspected fault position mapping point; The characteristic waveform is loaded onto the fault data of the front suspected fault position mapping point to obtain the predicted fault data; wherein the characteristic waveform is obtained in a manner that when the distribution network is operating normally, a test waveform is emitted from the front suspected fault position mapping point, and then a deformation of the test waveform is obtained at the rear suspected fault position mapping point, and the test waveform is removed from the waveform obtained at the rear suspected fault position mapping point, and the remaining waveform is directly used as the characteristic waveform; comparing the predicted fault data with the similarity of the fault data at the predicted fault data; The correlation of the mapping points belonging to the two suspected fault locations is given according to the similarity comparison result; The fault data is transferred to the time domain and frequency domain for analysis, and the second fault waveform group is obtained, including: Transfer the fault data into the time domain and frequency domain for analysis to obtain the fault data waveform; The waveform group obtained by transferring at least the previous characteristic waveform on the position sequence into the time domain and the frequency domain for analysis is used as the basis for grouping; Using a grouping basis, grouping the next fault data waveform on the position sequence to obtain a second fault waveform group, wherein the second fault waveform group includes a plurality of subgroups; When transferring at least one previous characteristic waveform on the position sequence into the time domain and the frequency domain for analysis, the ratio of the number of the at least one previous characteristic waveform to the number of subgroups is greater than or equal to a set threshold; The local correction of the suspected fault location point diagram using the starting point of the suspected fault location point diagram and the second fault waveform group includes: Selecting a fault location starting point in the suspected fault location point map, where the fault location starting point is a suspected fault location mapping point in the suspected fault location point map; Divide the suspected fault location mapping points in the suspected fault location point diagram into levels according to the fault location starting point and the current direction, wherein one level includes at least one suspected fault location mapping point; Binding the subgroups in the second fault waveform group in the next level to the suspected fault location mapping points in the previous level, with one subgroup being bound to one suspected fault location mapping point; Correct the suspected fault location point map based on the binding results.

4. A distribution network fault simulation system, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to claim 1 or 2.

5. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to claim 1 or 2 is executed.

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