Classification method, device and equipment for composite power quality disturbance, medium and product

Abstract

The invention discloses a composite power quality disturbance classification method and device, equipment, a storage medium and a product, and the method comprises the steps: obtaining a composite power quality disturbance signal sequence which comprises at least one composite power quality disturbance signal of a quarter waveform period; performing standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal; performing component analysis on the standard composite power quality disturbance signal to obtain a component statistical component of the standard composite power quality disturbance signal; and performing classification according to the standard composite power quality disturbance signal and the component statistical component to obtain a classification result of the standard composite power quality disturbance signal. According to the composite power quality disturbance classification method disclosed by the invention, disturbance type identification can be carried out by utilizing the composite power quality disturbance signal of a quarter period, so that the reaction speed of disturbance quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of power grid technology, and in particular to a classification method, device, equipment, storage medium and product for composite power quality disturbances. Background Art

[0002] A composite power quality disturbance refers to a fault condition in which the voltage waveform and amplitude in the power system deviate from the normal specified range. Usually, this deviation means that the power supply quality cannot meet the relevant requirements of power supply and needs to be managed. However, the causes of composite power quality disturbances are complex, and the management of different types of disturbances with different causes is often classified according to the type of disturbance. Therefore, it is necessary to effectively identify the type of composite power quality disturbance before management.

[0003] The existing methods for identifying the types of composite power quality disturbances are mainly divided into two technical routes. Technical route 1 mainly uses a combination of feature extraction methods and feature classification methods to classify composite power quality disturbances; technical route 2 uses neural networks to directly classify composite power quality disturbances. However, both technical routes are based on multiple cycles, that is, multiple cycles of data are required for identification, with a typical value of 10 cycles, so there is a problem that the identification takes a long time. Summary of the invention

[0004] The present invention provides a classification method, device, equipment, storage medium and product for composite power quality disturbance, so as to realize rapid identification of the type of composite power quality disturbance signal.

[0005] According to one aspect of the present invention, a method for classifying composite power quality disturbances is provided, comprising:

[0006] Acquire a composite power quality disturbance signal sequence, wherein the composite power quality disturbance signal sequence includes at least one composite power quality disturbance signal of a quarter waveform period;

[0007] Performing standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal;

[0008] Performing component analysis on the standard composite power quality disturbance signal to obtain component statistical components of the standard composite power quality disturbance signal;

[0009] Classification is performed according to the standard composite power quality disturbance signal and the component statistical components to obtain a classification result of the standard composite power quality disturbance signal.

[0010] Furthermore, component analysis is performed on the standard composite power quality disturbance signal, including:

[0011] Determining a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal;

[0012] Component matching is performed on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix.

[0013] Further, determining a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal comprises:

[0014] Determining a quarter-cycle data point length of the standard composite power quality disturbance signal sequence;

[0015] Determining a harmonic matrix corresponding to the standard composite power quality disturbance signal according to the quarter-cycle data point length;

[0016] The composite power quality disturbance standard matrix is ​​determined according to the harmonic matrix.

[0017] Furthermore, component matching is performed on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix, including:

[0018] According to the composite power quality disturbance standard matrix and in combination with a target matching pursuit algorithm, component matching is performed on the standard composite power quality disturbance signal.

[0019] Further, the standard composite power quality disturbance signal and the component statistical component are classified to obtain a classification result of the composite power quality disturbance signal, including:

[0020] The standard composite power quality disturbance signal is concatenated with the component statistical component to obtain a signal to be classified;

[0021] The signal to be classified is classified, and the category information of the signal to be classified is used as the classification result of the composite power quality disturbance signal.

[0022] Further, classifying the signal to be classified includes:

[0023] Get the trained extreme learning machine classification model;

[0024] The signal to be classified is input into the extreme learning machine classification model to obtain category information output by the extreme learning machine classification model.

[0025] According to another aspect of the present invention, there is provided a classification device for composite power quality disturbances, comprising:

[0026] A signal sequence acquisition module, used for acquiring a composite power quality disturbance signal sequence, wherein the composite power quality disturbance signal sequence includes at least one composite power quality disturbance signal of a quarter waveform period;

[0027] A standardization processing module, used for performing standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal;

[0028] A component analysis module, used for performing component analysis on the standard composite power quality disturbance signal to obtain component statistical components of the standard composite power quality disturbance signal;

[0029] A classification module is used to classify the standard composite power quality disturbance signal and the component statistical component to obtain a classification result of the standard composite power quality disturbance signal.

[0030] Optionally, the component analysis module is also used to:

[0031] Determining a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal;

[0032] Component matching is performed on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix.

[0033] Optionally, the component analysis module is also used to:

[0034] Determining a quarter-cycle data point length of the standard composite power quality disturbance signal sequence;

[0035] Determining a harmonic matrix corresponding to the standard composite power quality disturbance signal according to the quarter-cycle data point length;

[0036] The composite power quality disturbance standard matrix is ​​determined according to the harmonic matrix.

[0037] Optionally, the component analysis module is also used to:

[0038] According to the composite power quality disturbance standard matrix and in combination with a target matching pursuit algorithm, component matching is performed on the standard composite power quality disturbance signal.

[0039] Optionally, the classification module is also used to:

[0040] The standard composite power quality disturbance signal is concatenated with the component statistical component to obtain a signal to be classified;

[0041] The signal to be classified is classified, and the category information of the signal to be classified is used as the classification result of the composite power quality disturbance signal.

[0042] Optionally, the classification module is also used to:

[0043] Get the trained extreme learning machine classification model;

[0044] The signal to be classified is input into the extreme learning machine classification model to obtain category information output by the extreme learning machine classification model.

[0045] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0046] at least one processor; and

[0047] a memory communicatively connected to the at least one processor; wherein,

[0048] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for classifying composite power quality disturbances described in any embodiment of the present invention.

[0049] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for classifying composite power quality disturbances described in any embodiment of the present invention when executed.

[0050] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program / instruction, which, when executed by a processor, implements the steps of the method for classifying composite power quality disturbances described in any embodiment of the present invention.

[0051] The classification method of composite power quality disturbance disclosed in the present invention first obtains a composite power quality disturbance signal sequence, wherein the composite power quality disturbance signal sequence contains at least one composite power quality disturbance signal of a quarter waveform period; then the composite power quality disturbance signal is standardized to obtain a standard composite power quality disturbance signal; then the standard composite power quality disturbance signal is component analyzed to obtain the component statistical component of the standard composite power quality disturbance signal; finally, the standard composite power quality disturbance signal and the component statistical component are classified to obtain the classification result of the standard composite power quality disturbance signal. The classification method of composite power quality disturbance disclosed in the present invention can use a quarter-cycle composite power quality disturbance signal to identify the disturbance type, thereby providing more sufficient control response time for the control of composite power quality disturbances in the power system, and at the same time providing time redundancy support for the instantaneous control equipment of the power quality disturbance.

[0052] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 is a flow chart of a classification method for composite power quality disturbances provided according to Embodiment 1 of the present invention;

[0055] Figure 2 is a structural schematic diagram of a composite power quality disturbance classification device provided according to Embodiment 2 of the present invention;

[0056] Figure 3 It is a structural schematic diagram of an electronic device for implementing the classification method of the composite power quality disturbance of the third embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0058] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0059] Embodiment 1

[0060] Figure 1This is a flow chart of a composite power quality disturbance classification method provided in the first embodiment of the present invention. This embodiment is applicable to the case of performing type identification on composite power quality disturbance signals. The method can be executed by a composite power quality disturbance classification device. The composite power quality disturbance classification device can be implemented in the form of hardware and / or software. The composite power quality disturbance classification device can be configured in an electronic device. Figure 1 As shown, the method includes:

[0061] S110. Obtain a composite power quality disturbance signal sequence.

[0062] The composite power quality disturbance signal sequence includes at least one composite power quality disturbance signal of a quarter waveform period.

[0063] In this embodiment, the composite power quality disturbance signal is a noise signal that causes the voltage waveform and amplitude in the power system to deviate from the normal specified range, which can be obtained by sampling the power system, and at least one quarter of the voltage waveform cycle needs to be sampled. The signal frequency of the composite power quality disturbance signal is the frequency f of the power system. N For example, the power system frequency in China is 50Hz and in Japan is 60Hz. The sampling frequency for sampling the composite power quality disturbance signal is f s .

[0064] Preferably, in order to make the waveform of the input quarter-cycle composite power quality disturbance signal as standardized as possible, the standard starting point of the composite power quality disturbance signal sequence can be determined, that is, the unified starting point of the composite power quality disturbance signal sequence is determined as the rising zero-crossing point of the composite power quality disturbance sinusoidal signal, that is, the origin of the standard sine is taken as the starting point.

[0065] S120, performing standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal.

[0066] In this embodiment, after the composite power quality disturbance signal is obtained, it can be standardized to obtain a standard quarter-cycle composite power quality disturbance waveform, that is, the waveform of the standard composite power quality disturbance signal.

[0067] Optionally, the method of standardizing the composite power quality disturbance signal may be:

[0068] According to the standard starting point of the composite power quality disturbance signal sequence, the composite power quality disturbance signals of four quarter cycles in a subsequent cycle are processed, and the processing formula method is shown in the following formula.

[0069]

[0070] Among them, x t O is the original signal, i.e. the composite power quality disturbance signal before standardization, x t H is the processed standard composite power quality disturbance signal, t is the sampling time, and T is the waveform period. By standardizing the composite power quality disturbance signal, the composite power quality disturbance signals of four quarter cycles can be made as similar as possible.

[0071] S130. Perform component analysis on the standard composite power quality disturbance signal to obtain component statistical components of the standard composite power quality disturbance signal.

[0072] The component statistics component represents the number of fundamental wave, harmonic wave and disturbance in the standard composite power quality disturbance signal. The component statistics component is represented by y, and the relationship between the component statistics component and the standard composite power quality disturbance signal can be expressed as Ay=x t H , where A is the atomic selection support matrix, which is a standard dictionary that defines what component each unit length is. Therefore, it can be used to measure the components in the standard composite power quality disturbance signal, and the specific number of each component is y.

[0073] In this embodiment, in order to identify the disturbance type in the standard composite power quality disturbance signal, the components of the standard composite power quality disturbance signal can be identified by performing component analysis on the standard composite power quality disturbance signal, and each component can be quantified by component statistical components.

[0074] Optionally, the method for performing component analysis on the standard composite power quality disturbance signal may be: determining a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal; and performing component matching on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix.

[0075] Specifically, the composite power quality disturbance standard matrix is ​​a standard reference matrix, which is composed of standard signals. Using the composite power quality disturbance standard matrix to match the components of the standard composite power quality disturbance signal can be regarded as listing all standard disturbance conditions to analyze the components of the standard composite power quality disturbance signal.

[0076] Furthermore, the method for determining the composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal may be: determining the quarter-cycle data point length of the standard composite power quality disturbance signal sequence; determining the harmonic matrix corresponding to the standard composite power quality disturbance signal according to the quarter-cycle data point length; and determining the composite power quality disturbance standard matrix according to the harmonic matrix.

[0077] Specifically, when determining the composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal, it is first necessary to determine the quarter-cycle data point length of the standard composite power quality disturbance signal sequence. The calculation method of the quarter-cycle data point length is as follows:

[0078]

[0079] Where n is the length of a quarter cycle data point, f s and f N The sampling frequency is and the signal frequency are respectively.

[0080] The composite power quality disturbance standard matrix consists of the original signal matrix + harmonic matrix + unit matrix, where the harmonic matrix can be expressed as:

[0081]

[0082] In the above formula, n is the length of a quarter cycle data point, f s and f N are the sampling frequency and the signal frequency respectively, and k is the frequency of the harmonic matrix. Since the highest harmonic analyzed is generally the 19th order, k=19 is taken here, and when k=1, it is the original signal matrix.

[0083] Identity Matrix I L is an n×n identity matrix, I L =[I] n×n , so the final composite power quality disturbance standard matrix can be expressed as:

[0084]

[0085] Furthermore, a method for performing component matching on a standard composite power quality disturbance signal according to a composite power quality disturbance standard matrix may be: performing component matching on a standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix and in combination with a target matching pursuit algorithm.

[0086] Specifically, after obtaining the composite power quality disturbance standard matrix, the composite power quality disturbance standard matrix can be used as a standard reference, and the target matching pursuit algorithm can be used to match and pursue the standard composite power quality disturbance signal to analyze the components in the standard composite power quality disturbance signal. This problem can be transformed into solving y in the following formula:

[0087]

[0088] Among them, y is the component statistics component, ‖y‖0 is the zero norm of y, and x t H is the standard composite power quality disturbance signal, is the composite power quality disturbance standard matrix, represents the residual, for The second norm of , ε0 is the set limit value of the judgment condition.

[0089] The solution process for y is as follows:

[0090] 1) Initialization:

[0091] Initialize the atomic selection support matrix A = φ (φ represents an empty set), initialize the residual Initialize the number of iterations and record j=1.

[0092] 2) Prior mapping:

[0093] The composite power quality disturbance standard matrix The first column of components is incorporated into the atom selection support matrix A:

[0094]

[0095] in, represents the first column of the atom selection support matrix A, is the composite power quality disturbance standard matrix The first column of the matrix A includes n rows, and the matrix It includes n×(k+n) rows, m=k+n. This formula is to convert the composite power quality disturbance standard matrix The first column of gives the atom selection support matrix A.

[0096] Calculate the composition statistics y:

[0097]

[0098] Calculate residuals

[0099]

[0100] like If it is established, there is no need to continue iterating, and the solution of y is y=y1; if it is not established, it is necessary to continue iterating and set j=j+1, and the composite power quality disturbance standard matrix The columns of are sequentially incorporated into the atom selection support matrix A:

[0101]

[0102] 3) Calculate the inner product u:

[0103]

[0104] 4) Extreme value statistics:

[0105] Let u Q =max(‖u‖2), determine the value of Q. Where Q represents the number of rows that maximize the 2-norm ‖u‖2 of the inner product u.

[0106] 5) Load and calculate statistical components:

[0107] The composite power quality disturbance standard matrix Column Q of As an index atom, the index atom Load the atom selection support matrix A and update the composition statistics y accordingly j :

[0108]

[0109] 6) Update residual:

[0110]

[0111] 7) Iterate until If the condition holds or the number of iterations j exceeds the maximum threshold, the iteration ends and the solution of y is obtained.

[0112] S140, classifying the standard composite power quality disturbance signal and the component statistical components to obtain a classification result of the standard composite power quality disturbance signal.

[0113] In this embodiment, after the component statistical components of the standard composite power quality disturbance signal are obtained, the disturbance type of the standard composite power quality disturbance signal can be determined according to the component statistical components.

[0114] Optionally, a method for obtaining a classification result of a composite power quality disturbance signal by classifying the standard composite power quality disturbance signal and the component statistical components may be: concatenating the standard composite power quality disturbance signal and the component statistical components to obtain a signal to be classified; classifying the signal to be classified, and using the category information of the signal to be classified as the classification result of the composite power quality disturbance signal.

[0115] Specifically, after obtaining the component statistics of the standard composite power quality disturbance signal, the standard composite power quality disturbance signal x t H The concatenation result can be expressed as z = [x t H y], z is the signal to be classified after feature extraction. Then the signal to be classified z can be classified, and the category information of z is used as the classification result of the composite power quality disturbance signal.

[0116] Furthermore, the method for classifying the signal to be classified may be: obtaining a trained extreme learning machine classification model; inputting the signal to be classified into the extreme learning machine classification model, and obtaining category information output by the extreme learning machine classification model.

[0117] Specifically, the trained extreme learning machine classification model can be used to classify the signal to be classified z containing disturbance features. The Extreme Learning Machine (ELM) is a type of machine learning system or method based on a feedforward neural network (FNN), which can be applied to supervised learning and unsupervised learning problems. The signal to be classified z is input into the trained extreme learning machine classification model, and the output of the extreme learning machine classification model is the category information of the signal to be classified z. The category information of the signal to be classified z is the disturbance type of the composite power quality disturbance signal.

[0118] The classification method of composite power quality disturbance disclosed in the present invention first obtains a composite power quality disturbance signal sequence, wherein the composite power quality disturbance signal sequence contains at least one composite power quality disturbance signal of a quarter waveform period; then the composite power quality disturbance signal is standardized to obtain a standard composite power quality disturbance signal; then the standard composite power quality disturbance signal is component analyzed to obtain the component statistical component of the standard composite power quality disturbance signal; finally, the standard composite power quality disturbance signal and the component statistical component are classified to obtain the classification result of the standard composite power quality disturbance signal. The classification method of composite power quality disturbance disclosed in the present invention can use a quarter-cycle composite power quality disturbance signal to identify the disturbance type, thereby providing more sufficient control response time for the control of composite power quality disturbances in the power system, and at the same time providing time redundancy support for the instantaneous control equipment of the power quality disturbance.

[0119] Embodiment 2

[0120] Figure 2 A structural diagram of a composite power quality disturbance classification device provided in Embodiment 2 of the present invention, such as Figure 2 As shown, the device includes: a signal sequence acquisition module 310, a standardization processing module 320, a component analysis module 330 and a classification module 340.

[0121] The signal sequence acquisition module 310 is used to acquire a composite power quality disturbance signal sequence.

[0122] The composite power quality disturbance signal sequence includes at least one composite power quality disturbance signal of a quarter waveform period.

[0123] The standardization processing module 320 is used to perform standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal.

[0124] The component analysis module 330 is used to perform component analysis on the standard composite power quality disturbance signal to obtain component statistical components of the standard composite power quality disturbance signal.

[0125] The classification module 340 is used to classify the standard composite power quality disturbance signal and the component statistical components to obtain a classification result of the standard composite power quality disturbance signal.

[0126] Optionally, the component analysis module 330 is further used for:

[0127] Determine a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal; and perform component matching on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix.

[0128] Optionally, the component analysis module 330 is further used for:

[0129] Determine the quarter-cycle data point length of the standard composite power quality disturbance signal sequence; determine the harmonic matrix corresponding to the standard composite power quality disturbance signal according to the quarter-cycle data point length; and determine the composite power quality disturbance standard matrix according to the harmonic matrix.

[0130] Optionally, the component analysis module 330 is further used for:

[0131] According to the composite power quality disturbance standard matrix and combined with the target matching pursuit algorithm, the components of the standard composite power quality disturbance signal are matched.

[0132] Optionally, the classification module 340 is further configured to:

[0133] The standard composite power quality disturbance signal is concatenated with the component statistical component to obtain a signal to be classified; the signal to be classified is classified, and the category information of the signal to be classified is used as the classification result of the composite power quality disturbance signal.

[0134] Optionally, the classification module 340 is further configured to:

[0135] Obtain a trained extreme learning machine classification model; input the signal to be classified into the extreme learning machine classification model to obtain category information output by the extreme learning machine classification model.

[0136] The composite power quality disturbance classification device provided in the embodiment of the present invention can execute the composite power quality disturbance classification method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0137] Embodiment 3

[0138] Figure 3 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0139] like Figure 3 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0140] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0141] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a classification method for complex power quality disturbances.

[0142] In some embodiments, the classification method of the composite power quality disturbance may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the classification of the composite power quality disturbance described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the classification method of the composite power quality disturbance in any other appropriate manner (e.g., by means of firmware).

[0143] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0144] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0145] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0146] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0147] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0148] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0149] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0150] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A classification method for composite power quality disturbances, characterized in that: include: Acquire a composite power quality disturbance signal sequence, wherein the composite power quality disturbance signal sequence includes at least one composite power quality disturbance signal of a quarter waveform period; Performing standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal; Performing component analysis on the standard composite power quality disturbance signal to obtain component statistical components of the standard composite power quality disturbance signal; Classification is performed according to the standard composite power quality disturbance signal and the component statistical components to obtain a classification result of the standard composite power quality disturbance signal.

2. The method according to claim 1, characterized in that The component analysis of the standard composite power quality disturbance signal includes: Determining a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal; Component matching is performed on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix.

3. The method according to claim 2, characterized in that Determining a composite power quality disturbance standard matrix corresponding to the standard composite power quality disturbance signal comprises: Determining a quarter-cycle data point length of the standard composite power quality disturbance signal sequence; Determining a harmonic matrix corresponding to the standard composite power quality disturbance signal according to the quarter-cycle data point length; The composite power quality disturbance standard matrix is ​​determined according to the harmonic matrix.

4. The method according to claim 2, characterized in that: Component matching is performed on the standard composite power quality disturbance signal according to the composite power quality disturbance standard matrix, including: According to the composite power quality disturbance standard matrix and in combination with a target matching pursuit algorithm, component matching is performed on the standard composite power quality disturbance signal.

5. The method according to claim 1, characterized in that Classifying the standard composite power quality disturbance signal and the component statistical component to obtain a classification result of the composite power quality disturbance signal includes: The standard composite power quality disturbance signal is concatenated with the component statistical component to obtain a signal to be classified; The signal to be classified is classified, and the category information of the signal to be classified is used as the classification result of the composite power quality disturbance signal.

6. The method according to claim 5, characterized in that Classifying the signal to be classified includes: Get the trained extreme learning machine classification model; The signal to be classified is input into the extreme learning machine classification model to obtain category information output by the extreme learning machine classification model.

7. A classification device for composite power quality disturbances, characterized in that: include: A signal sequence acquisition module, used for acquiring a composite power quality disturbance signal sequence, wherein the composite power quality disturbance signal sequence includes at least one composite power quality disturbance signal of a quarter waveform period; A standardization processing module, used for performing standardization processing on the composite power quality disturbance signal to obtain a standard composite power quality disturbance signal; A component analysis module, used for performing component analysis on the standard composite power quality disturbance signal to obtain component statistical components of the standard composite power quality disturbance signal; A classification module is used to classify the standard composite power quality disturbance signal and the component statistical component to obtain a classification result of the standard composite power quality disturbance signal.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the method for classifying a complex power quality disturbance according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the classification method for the composite power quality disturbance according to any one of claims 1 to 6 when executed.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method for classifying a complex power quality disturbance as described in any one of claims 1 to 6 are implemented.

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