Series arc fault phase identification method and device and electronic equipment

Abstract

The embodiment of the invention provides a series arc fault phase identification method and device and electronic equipment, and relates to the technical field of arc faults. The method comprises the steps that an experiment platform for supplying power to a three-phase load by a three-phase power supply through a circuit breaker is constructed, and the experiment platform further comprises current transformers arranged on three phases respectively and fault arc generators arranged according to needs; respectively acquiring phase current acquired by a current transformer when fault arc occurs when the fault arc generator is arranged on each phase; carrying out Karrenbauer transformation on the phase current to obtain an alpha-mode component; performing current waveform image reconstruction on the alpha-mode component by adopting a phase-space reconstruction algorithm, and taking an obtained reconstructed image as a standard image template; and performing Karrenbauer transformation and a phase space reconstruction algorithm on the to-be-identified phase current to obtain a corresponding image, comparing the corresponding image with the standard image template, and obtaining a fault phase corresponding to the to-be-identified phase current according to a comparison result. According to the embodiment of the invention, the identification speed of the fault phase is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of arc faults, and in particular to a method for identifying a series arc fault phase, a device for identifying a series arc fault phase, an electronic device and a corresponding storage medium. Background Art

[0002] In recent years, thermal power plants have explored intelligent construction and gradually deepened and improved the intelligent system architecture and application of thermal power plants. With the advancement of smart power plants, the importance of safe operation in thermal power units has become increasingly prominent. The safe and stable operation of the plant power supply system is related to the operating status of the entire unit. In the plant power supply system, the probability of arc discharge in the medium-voltage switchgear is increasing due to long-term operation of the unit, aging, long-term condensation and contamination of insulation parts, etc. When an arc occurs in the circuit breaker of the medium-voltage switchgear, a grounding phenomenon will occur, causing the zero-sequence protection to operate. The zero-sequence protection will cause the bus section to lose power, and then a series of related equipment will lose power. If the operating personnel do not handle it in time, a tripping accident may even occur. Summary of the invention

[0003] The purpose of the embodiments of the present invention is to provide a method, device and electronic device for identifying a series arc fault phase. The present application proposes a method based on a combination of Karrenbauer transformation and phase space reconstruction to judge the fault phase of the arc in the medium-voltage switchgear, and then push it to the operating personnel, so that the operating personnel can deal with the problem in a timely manner according to the cause of the fault, avoid expanding the scope of the fault, and at least solve some of the problems in the background technology.

[0004] In order to achieve the above-mentioned purpose, the present invention provides a method for identifying a series arc fault phase, which comprises: constructing an experimental platform in which a three-phase power supply supplies power to a three-phase load via a circuit breaker, wherein the experimental platform also comprises current transformers respectively arranged on the three phases, and a fault arc generator arranged as required; respectively obtaining the phase current collected by the current transformer when a fault arc occurs when the fault arc generator is arranged on each phase; and obtaining the phase current by Karrenbauer transformation. α modulus component; using phase space reconstruction algorithm to α The image of the current waveform is reconstructed by using the analog component, and the reconstructed image is used as a standard image template; the phase current to be identified is subjected to the Karrenbauer transformation and the phase space reconstruction algorithm to obtain a corresponding image, the corresponding image is compared with the standard image template, and the fault phase corresponding to the phase current to be identified is obtained according to the comparison result.

[0005] Optionally, the fault arc generator drives the moving and static contacts to perform opening and closing actions through a stepping motor; the phase current collected by the current transformer is transmitted to the computer via a data acquisition card. Optionally, the phase current is transformed by Karrenbauer to obtain α The analog component includes: The phase current is transformed into α Modulus:

[0006] in, I U , I V , I W They are U, V, and W phase currents respectively. I α , I β , I 0 They are respectively obtained by Karrenbauer transformation of phase current α Modulus, β modulus component and 0 modulus component.

[0007] Optionally, a phase space reconstruction algorithm is used to reconstruct the α The image reconstruction of the current waveform is performed by using the analog component, including: obtaining α A current time series of a mode component; obtaining a phase space reconstruction matrix based on a time delay method according to the embedding dimension and the reconstruction sampling lag time; and obtaining a reconstructed image after image reconstruction according to the phase space reconstruction matrix.

[0008] Optionally, the reconstruction sampling lag time is determined according to a certain proportion of a sampling period; and the sampling period is determined according to the performance of a data acquisition card.

[0009] Optionally, the method also includes: using the obtained reconstructed image as a standard image template, extracting image features of the standard image module; and correspondingly comparing the corresponding image with the standard image template, including: obtaining the degree of matching between the corresponding image and the standard image template based on image features.

[0010] Optionally, the image features include: image shape, disorder degree and distribution characteristics.

[0011] In some embodiments of the present application, a device for identifying a series arc fault phase is also provided, the device comprising: a platform construction module, used to construct an experimental platform in which a three-phase power supply supplies power to a three-phase load via a circuit breaker, the experimental platform also comprising current transformers respectively arranged on the three phases, and a fault arc generator arranged as required; a component extraction module, used to respectively obtain the phase current collected by the current transformer when a fault arc occurs when the fault arc generator is arranged on each phase; the phase current is obtained by Karrenbauer transformation αA mode component; an image reconstruction module for using a phase space reconstruction algorithm to reconstruct the α The image of the current waveform is reconstructed by using the analog component, and the reconstructed image is used as a standard image template; and a fault identification module is used to obtain a corresponding image of the phase current to be identified through the Karrenbauer transformation and the phase space reconstruction algorithm, and the corresponding image is compared with the standard image template, and the fault phase corresponding to the phase current to be identified is obtained according to the comparison result.

[0012] The present invention also provides an electronic device, comprising: at least one processor; a memory connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the at least one processor implements the aforementioned method for identifying a series arc fault phase by executing the instructions stored in the memory.

[0013] The present invention also provides a machine-readable storage medium, on which instructions are stored. When the instructions are executed by a processor, the processor is configured to execute the aforementioned method for identifying a series arc fault phase.

[0014] The present invention also provides a computer program product, comprising a computer program, which implements the aforementioned method for identifying a series arc fault phase when executed by a processor.

[0015] The above technical solution has the following beneficial effects: (1) The fault phase of a series fault arc in an application scenario with a similar structure to the experimental platform can be quickly and clearly distinguished.

[0016] (2) Applying it in the medium-voltage switchgear of a thermal power plant enables operating personnel to quickly identify the source of the fault, thereby preventing the fault from expanding and ensuring the safety of the unit operation.

[0017] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings: Figure 1 The schematic diagram of the steps of the method for identifying a series arc fault phase according to an embodiment of the present invention is shown schematically; Figure 2 A schematic diagram of the structure of an experimental platform according to an embodiment of the present invention is shown; Figure 3A current waveform diagram of an 18A three-phase motor according to an embodiment of the present invention is schematically shown; Figure 4 The α-mode component current waveform of the 18A three-phase motor according to the embodiment of the present invention is schematically shown; Figure 5 Schematically shows a reconstructed image of an 18A three-phase asynchronous motor according to an embodiment of the present invention; Figure 6 The schematic diagram shows the structure of a device for identifying a series arc fault phase according to an embodiment of the present invention; Figure 7 The figure schematically shows the internal structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0020] Figure 1 The following is a schematic diagram showing the steps of a method for identifying a series arc fault phase according to an embodiment of the present invention. Figure 1 As shown, a method for identifying a series arc fault phase comprises: S01. Construct an experimental platform in which a three-phase power supply supplies power to a three-phase load via a circuit breaker, wherein the experimental platform further includes current transformers respectively arranged on the three phases, and a fault arc generator arranged as required; S02, respectively obtain the phase current collected by the current transformer when a fault arc occurs when the fault arc generator is set on each phase; obtain the phase current through Karrenbauer transformation α Modulus component; S03, using phase space reconstruction algorithm to α The image of the current waveform is reconstructed using the analog component, and the obtained reconstructed image is used as a standard image template; S04. Obtain a corresponding image of the phase current to be identified through Karrenbauer transformation and the phase space reconstruction algorithm, compare the corresponding image with the standard image template, and obtain the fault phase corresponding to the phase current to be identified according to the comparison result.

[0021] Through the above implementation, by distinguishing the shapes of the two-dimensional graphics, the fault phase where the series fault arc occurs in the circuit breaker in the medium-voltage switch cabinet can be clearly distinguished. This can avoid the expansion of the fault and ensure the safety of the unit operation. Figure 2 The schematic diagram of the structure of the experimental platform according to the embodiment of the present invention is shown. Figure 2 As shown, in this embodiment, the load model used in the experiment is a three-phase asynchronous motor of Y160M-6-11KW. The fault arc generator has moving and static contacts, which are opened and closed by a stepper motor. The HAS14Z type Hall current transformer is used to collect the three-phase current in the experiment, and the data is displayed and stored through the LABVIEW software on the computer. The data acquisition card used in the experiment is the USB3200 of the Altai brand, with a sampling frequency of 100kHz. The phase current collected by the current transformer is transmitted to the computer via the data acquisition card. The experimental plan is shown in the following table.

[0022]

[0023] During the experiment, the LABVIEW software collected the three-phase currents during normal and fault conditions. Figure 3 The current waveform diagram of a 18A three-phase motor according to an embodiment of the present invention is schematically shown. Figure 3 As shown, under normal circumstances, the three-phase current is symmetrical; no matter which phase has a series fault arc, the three-phase current waveform changes to unequal amplitudes, and the burrs in the current waveform of the fault phase where the fault arc occurs increase, and new burrs will appear in the current waveforms of other phases. This is because when a fault arc occurs, the contact resistance is random and unstable, causing burrs in the current waveform.

[0024] In some embodiments of the present application, taking the actual three-phase asynchronous motor power supply system as an example, there is a coupling relationship between each phase current, and they are never independent of each other. In order to solve the problem of mutual coupling and achieve analysis similar to single-phase current, the phase quantity is generally converted into a modulus through phase mode transformation to solve this problem. Phase mode transformation can decouple the three-phase system and decompose it into independent moduli, and then the analysis result of a single modulus can be extended to the entire three-phase system. There are currently many phase mode transformation matrices that can be selected, and the Karrenbauer transformation is used here. Its transformation formula is:

[0025] in, I U , I V , I W They are U, V, and W phase currents respectively. I α , I β , I 0 They are respectively obtained by Karrenbauer transformation of phase current α Modulus,β The modulus component and the 0 modulus component. α The modulus component has sufficient sensitivity and anti-interference performance, so the present invention is α Analyze the modulus components. Figure 4 The α-mode component current waveform of a 18A three-phase motor according to an embodiment of the present invention is schematically shown. Figure 4 As shown, it can be clearly seen that when the load is a three-phase asynchronous motor, when a series fault arc occurs on the U phase α The waveform of the mode current component has no large downward tip pulse near the horizontal axis 0.05, while the other three cases have it; when a series fault arc occurs on the W phase α The waveform of the mode current component has a large upward tip pulse at the beginning; when a series fault arc occurs on the V phase α The beginning of the mode current component waveform has a small upward tip pulse, and its waveform has fewer upward large tip pulses than other cases. α The waveform of the mode current component has a downward tip pulse in the initial section. In order to further extract the fault arc characteristics, additional algorithms are needed for identification.

[0026] In some optional embodiments of the present application, a phase space reconstruction algorithm is used to α The image reconstruction of the current waveform is performed by using the analog component, including: obtaining α The current time series of the modulus component is obtained; according to the embedding dimension and the reconstruction sampling lag time, the phase space reconstruction matrix is ​​obtained based on the time delay method; and the reconstructed image is obtained after image reconstruction according to the phase space reconstruction matrix. Specifically, in order to further extract the fault arc characteristics, the phase space reconstruction algorithm is used for identification. The phase space reconstruction algorithm can study the dynamic characteristics of the entire system from a single component of the system. α The change of the current waveform of the modulus component is inevitably affected by the entire three-phase system. In the reconstruction process, we only need to pay attention to α The current waveform of the analog component, the changes of other components in the three-phase system must also be hidden in it. α By measuring the current of the modulus component with a periodic fixed delay time, many new coordinate points will be obtained. These new coordinate points can constitute the dynamic system model of the three-phase system. It is different from the conventional time domain model. It can analyze the characteristic changes that are ignored in the time domain and frequency domain.

[0027] For example, the collected current time series is:

[0028] Where N is the data length. The phase space reconstruction matrix constructed using the time delay method is It can be expressed as

[0029] Where: is the original time series data; is the number of observations (the total number of data samples in the waveform); is the embedding dimension; is the reconstruction sampling lag time.

[0030] In some embodiments of the present application, the reconstruction sampling lag time is determined according to a certain proportion of the sampling period; the sampling period is determined according to the performance of the data acquisition card. As can be seen from the above formula, the phase space reconstruction algorithm has two important parameters to be determined, one of which is the embedding dimension. d , and the other is the reconstruction sampling lag time τ Through theoretical and practical analysis, the delay parameter is determined and selected as 0.5 T s and embedding dimension d =2, where T s Sampling period. Figure 5 The reconstructed image of the 18A three-phase asynchronous motor according to the embodiment of the present invention is schematically shown. Figure 5 As shown in the figure, the normal and V-phase fault arc graphs are similar, but there is a big difference in the degree of confusion. The degree of confusion of the V-phase fault arc graph is much greater than the normal one; the U-phase fault arc graph and the W-phase fault arc graph are similar, but the middle of the W-phase fault arc graph is more bulging than the middle of the U-phase fault arc graph. Therefore, when the load is a three-phase asynchronous motor, the fault phase where the series fault arc occurs can be identified from the figure.

[0031] In some embodiments of the present application, the method further includes: using the obtained reconstructed image as a standard image template, extracting image features of the standard image module; and correspondingly comparing the corresponding image with the standard image template, including: obtaining a matching degree between the corresponding image and the standard image template based on image features. Figure 5As shown, when the corresponding image is only compared with the standard image template, it is necessary to compare according to the image features. The image features include: image shape, degree of confusion and distribution characteristics. Exemplarily, the comparison method may include the following steps: obtaining the minimum enclosing rectangle of the corresponding image, calculating the aspect ratio of the minimum enclosing rectangle, comparing it with the aspect ratio of the minimum enclosing rectangle of the standard image template, and obtaining the first probability ranking of U-phase, V-phase, and W-phase faults according to the degree of proximity of the aspect ratio. Alternatively, after rotating the image center point of the corresponding image by 180 degrees, calculate the overlap between the rotated image and the original image, compare the overlap with the overlap obtained by the standard image template in the same way, and obtain the second probability ranking of U-phase, V-phase, and W-phase faults according to the degree of proximity of the overlap; the image center point is determined according to the density metric. Alternatively, the intersections in the corresponding image are classified based on a clustering algorithm to obtain a set of isolated points of the corresponding image, and the distribution characteristics of the isolated point set are compared with the distribution characteristics obtained in the same way based on the standard image template, and the third probability rankings of the U-phase, V-phase, and W-phase faults are obtained according to the degree of similarity of the distribution characteristics. Finally, the first probability ranking, the second probability ranking, and the third probability ranking are selected or combined to finally obtain the final probability of the U-phase, V-phase, and W-phase faults, and the one with the highest probability is used as the fault phase where the series fault arc occurs.

[0032] Through the above implementation, through Karrenbauer transformation, we can get α Mode current component, for α The mode current component is reconstructed in phase space to obtain a two-dimensional graph. By distinguishing the shapes of the two-dimensional graph, the fault phase of the series fault arc in the circuit breaker in the medium-voltage switch cabinet can be clearly distinguished. Pushing the fault diagnosis results to the operating personnel can avoid the expansion of the fault and ensure the safety of the unit operation.

[0033] Based on the same inventive concept, the present invention also provides a device for identifying a series arc fault phase. Figure 6 The structure diagram of the device for identifying the series arc fault phase according to the embodiment of the present invention is schematically shown. Figure 6 As shown, the device includes: a platform construction module, which is used to construct an experimental platform for supplying power to a three-phase load from a three-phase power supply via a circuit breaker, and the experimental platform also includes current transformers respectively arranged on the three phases, and a fault arc generator arranged as needed; a component extraction module, which is used to respectively obtain the phase current collected by the current transformer when a fault arc occurs when the fault arc generator is arranged on each phase; the phase current is obtained by Karrenbauer transformation α A mode component; an image reconstruction module for using a phase space reconstruction algorithm to reconstruct the αThe image of the current waveform is reconstructed by using the analog component, and the reconstructed image is used as a standard image template; and a fault identification module is used to obtain a corresponding image of the phase current to be identified through the Karrenbauer transformation and the phase space reconstruction algorithm, and the corresponding image is compared with the standard image template, and the fault phase corresponding to the phase current to be identified is obtained according to the comparison result.

[0034] In some optional implementations of the present application, the fault arc generator drives the moving and static contacts to perform opening and closing actions through a stepper motor; the phase current collected by the current transformer is transmitted to the computer via a data acquisition card. In some optional embodiments of the present application, the phase current is obtained by Karrenbauer transformation α The analog component includes: The phase current is transformed into α Modulus:

[0035] in, I U , I V , I W They are U, V, and W phase currents respectively. I α , I β , I 0 They are respectively obtained by Karrenbauer transformation of phase current α Modulus, β modulus component and 0 modulus component.

[0036] In some optional embodiments of the present application, a phase space reconstruction algorithm is used to α The image reconstruction of the current waveform is performed by using the analog component, including: obtaining α A current time series of a mode component; obtaining a phase space reconstruction matrix based on a time delay method according to the embedding dimension and the reconstruction sampling lag time; and obtaining a reconstructed image after image reconstruction according to the phase space reconstruction matrix.

[0037] In some optional implementations of the present application, the reconstruction sampling lag time is determined according to a certain proportion of a sampling period; and the sampling period is determined according to the performance of a data acquisition card.

[0038] In some optional embodiments of the present application, the device also includes a feature extraction module, which is used to extract image features of the standard image module using the obtained reconstructed image as a standard image template; and correspondingly compare the corresponding image with the standard image template, including: obtaining the degree of matching between the corresponding image and the standard image template based on image features.

[0039] In some optional implementations of the present application, the image features include: image shape, disorder degree and distribution characteristics.

[0040] The specific definition of each functional module in the above-mentioned device for identifying the series arc fault phase can refer to the definition of the method for identifying the series arc fault phase in the above text, and will not be repeated here. Each module in the above-mentioned system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the electronic device in the form of hardware, or can be stored in the memory in the electronic device in the form of software, so that the processor can call and execute the operations corresponding to the above modules. It also has the advantage of obviously distinguishing the fault phase of the series fault arc. It is applied to the circuit breaker in the switch cabinet of the thermal power plant, which can detect the fault in time, avoid the expansion of the fault, and ensure the safety of the unit operation.

[0041] In some embodiments of the present invention, an electronic device is provided, comprising: at least one processor; a memory connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor executes the aforementioned method for identifying a series arc fault phase. The internal structure diagram thereof can be as follows Figure 7 shown. Figure 7 The internal structure diagram of an electronic device according to an embodiment of the present invention is schematically shown. The electronic device includes a processor A01, a network interface A02, a memory (not shown in the figure) and a database (not shown in the figure) connected via a system bus. Among them, the processor A01 of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes an internal memory A03 and a non-volatile storage medium A04. The non-volatile storage medium A04 stores an operating system B01, a computer program B02 and a database (not shown in the figure). The internal memory A03 provides an environment for the operation of the operating system B01 and the computer program B02 in the non-volatile storage medium A04. The network interface A02 of the electronic device is used to communicate with an external terminal through a network connection. When the computer program B02 is executed by the processor A01, a method for identifying a series arc fault phase is implemented.

[0042] Those skilled in the art will understand that Figure 5The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0043] In one embodiment of the present invention, a machine-readable storage medium is provided, on which instructions are stored. When the instructions are executed by a processor, the processor is configured to execute the aforementioned method for identifying a series arc fault phase.

[0044] In one embodiment of the present invention, a computer program product is provided, including a computer program, which implements the aforementioned method for identifying a series arc fault phase when executed by a processor.

[0045] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0046] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0047] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0048] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0049] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0050] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0051] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0052] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0053] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for identifying a series arc fault phase, It is characterized in that The method includes: Construct an experimental platform for supplying power from a three-phase power supply to a three-phase load via a circuit breaker, the experimental platform also comprising current transformers respectively arranged on the three phases, and a fault arc generator arranged as required; The phase current collected by the current transformer when a fault arc occurs when the fault arc generator is set on each phase is obtained respectively; the phase current is obtained by Karrenbauer transformation α Modulus component; The phase space reconstruction algorithm is used to α The image of the current waveform is reconstructed using the analog component, and the obtained reconstructed image is used as a standard image template; The phase current to be identified is subjected to the Karrenbauer transformation and the phase space reconstruction algorithm to obtain a corresponding image, the corresponding image is compared with the standard image template, and the fault phase corresponding to the phase current to be identified is obtained according to the comparison result.

2. The method according to claim 1, It is characterized in that The fault arc generator drives the moving and static contacts to perform opening and closing actions through a stepping motor; the phase current collected by the current transformer is transmitted to the computer through a data acquisition card.

3. The method according to claim 1, It is characterized in that The phase current is obtained by Karrenbauer transformation α Modulus components, including: The phase current is converted into α Modulus: in, I U , I V , I W They are U, V, and W phase currents respectively. I α , I β , I 0 They are respectively obtained by Karrenbauer transformation of phase current α Modulus, β modulus component and 0 modulus component.

4. The method according to claim 1, It is characterized in that The phase space reconstruction algorithm is used to α The image of the current waveform is reconstructed by using the analog component, including: Get α Current time series of the analog component; According to the embedding dimension and the reconstruction sampling lag time, the phase space reconstruction matrix is ​​obtained based on the time delay method; A reconstructed image is obtained after image reconstruction according to the phase space reconstruction matrix.

5. The method according to claim 4, It is characterized in that The reconstruction sampling lag time is determined according to a certain proportion of the sampling period; and the sampling period is determined according to the performance of the data acquisition card.

6. The method according to claim 1, It is characterized in that The method further comprises: using the obtained reconstructed image as a standard image template, extracting image features of the standard image module; Correspondingly, comparing the corresponding image with the standard image template includes: obtaining a matching degree between the corresponding image and the standard image template based on image features.

7. The method according to claim 6, It is characterized in that The image features include: image shape, disorder degree and distribution characteristics.

8. A device for identifying a series arc fault phase, It is characterized in that The device includes: A platform construction module, used to construct an experimental platform for supplying power to a three-phase load from a three-phase power supply via a circuit breaker, wherein the experimental platform also includes current transformers respectively arranged on the three phases, and a fault arc generator arranged as required; The component extraction module is used to obtain the phase current collected by the current transformer when a fault arc occurs when the fault arc generator is set on each phase; the phase current is obtained by Karrenbauer transformation α Modulus component; An image reconstruction module is used to use a phase space reconstruction algorithm to reconstruct the image. α The image of the current waveform is reconstructed using the analog component, and the obtained reconstructed image is used as a standard image template; and The fault identification module is used to obtain a corresponding image of the phase current to be identified through the Karrenbauer transformation and the phase space reconstruction algorithm, compare the corresponding image with the standard image template, and obtain the fault phase corresponding to the phase current to be identified according to the comparison result.

9. An electronic device, It is characterized in that include: at least one processor; a memory connected to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the at least one processor implements the steps of the method for identifying a series arc fault phase as described in any one of claims 1 to 7 by executing the instructions stored in the memory.

10. A computer-readable storage medium having a computer program / instructions stored thereon, It is characterized in that When the computer program / instruction is executed by a processor, the steps of the method for identifying a series arc fault phase as claimed in any one of claims 1 to 7 are implemented.

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