A power grid fault monitoring method, device and storage medium

Abstract

The application discloses a kind of power grid fault monitoring method, equipment and storage medium, the method comprises: in each monitoring point of power grid, operating parameter is collected to generator and electrical equipment;From operating parameter, the operating characteristic related to fault is extracted;According to operating characteristic, the operating state of generator and electrical equipment is detected;If operating state is fault, then according to operating parameter, the type of fault is identified;In power grid, the distance between fault and nearest monitoring point is positioned;According to distance, the location of generator and electrical equipment that fault occurs is positioned;According to operating parameter under fault, influence information is generated to generator and electrical equipment;Type, location and influence information are aggregated as the content of fault and are published.This embodiment provides type, location and influence information and other multi-dimensional information for fault, so that operation and maintenance personnel can more quickly identify and locate fault, effectively improve the accuracy of fault diagnosis, so that repair measures are taken quickly, reduce fault processing time.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power technology, and particularly relates to a power grid fault monitoring method, device and storage medium. BACKGROUND

[0002] A monitoring system is configured in the power grid, which covers the whole process of power generation, power transmission, power transformation, power distribution and power consumption. Through sensors installed at key nodes of the power grid, key parameters such as voltage, current, frequency and temperature are collected, which are transmitted to a monitoring center for analysis and processing to diagnose whether a fault occurs in the power grid.

[0003] However, this way often relies on the monitoring of a single parameter, such as judging the state of electrical equipment only through the change of current or voltage, which is easily disturbed by the outside world, resulting in low accuracy of fault diagnosis. SUMMARY

[0004] Therefore, the present application provides a power grid fault monitoring method, device and storage medium to improve the accuracy of fault diagnosis of the power grid.

[0005] A first aspect of the present application provides a power grid fault monitoring method, comprising:

[0006] collecting operation parameters of generators and electrical equipment at each monitoring point of the power grid;

[0007] extracting operation features related to faults from the operation parameters;

[0008] detecting the operation state of the generators and the electrical equipment according to the operation features;

[0009] if the operation state is a fault, identifying the type of the fault according to the operation parameters;

[0010] locating the distance between the fault and the nearest monitoring point in the power grid;

[0011] locating the positions of the generators and the electrical equipment where the fault occurs according to the distance;

[0012] generating impact information of the generators and the electrical equipment under the fault according to the operation parameters;

[0013] aggregating the type, the positions and the impact information into the content of the fault for publishing.

[0014] A second aspect of the present application provides a power grid fault monitoring device, comprising:

[0015] an operation parameter collection module, configured to collect operation parameters of generators and electrical equipment at each monitoring point of the power grid;

[0016] a running feature extraction module configured to extract a running feature related to a fault from the running parameters;

[0017] a running state detection module configured to detect a running state of the power generator and the electrical equipment according to the running feature;

[0018] a fault type identification module configured to identify a type of the fault according to the running parameters if the running state is a fault;

[0019] a fault distance positioning module configured to position a distance between the fault and the nearest monitoring point in the power grid;

[0020] a fault position positioning module configured to position a position of the power generator and the electrical equipment where the fault occurs according to the distance;

[0021] an influence information generation module configured to generate influence information of the power generator and the electrical equipment under the fault according to the running parameters;

[0022] a fault publishing module configured to aggregate the type, the position and the influence information into content of the fault and publish the content.

[0023] A third aspect of the present application provides an electronic device, comprising:

[0024] at least one processor; and

[0025] a memory connected with the at least one processor; wherein,

[0026] 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 to enable the at least one processor to execute the fault monitoring method of the power grid according to the first aspect.

[0027] A fourth aspect of the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the fault monitoring method of the power grid according to the first aspect.

[0028] A fifth aspect of the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the fault monitoring method of the power grid according to the first aspect.

[0029] In the embodiment, the operation parameters of the power generator and the electrical equipment are collected in each monitoring point of the power grid; the operation features related to the fault are extracted from the operation parameters; the operation state of the power generator and the electrical equipment is detected according to the operation features; if the operation state is the fault, the type of the fault is identified according to the operation parameters; the distance between the fault and the nearest monitoring point in the power grid is located; the location of the power generator and the electrical equipment where the fault occurs is located according to the distance; the influence information of the power generator and the electrical equipment under the fault is generated according to the operation parameters; and the type, the location and the influence information are aggregated as the content of the fault for publishing. The embodiment provides the multi-dimensional information such as the type, the location and the influence information of the fault, reduces the dependence on a single parameter, facilitates the operation and maintenance personnel to identify and locate the fault more quickly, effectively improves the accuracy of the fault diagnosis, and thus the repair measures can be taken quickly to reduce the fault processing time.

[0030] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it used to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0032] Figure 1 is a flowchart of a power grid fault monitoring method provided by an embodiment of the present application.

[0033] Figure 2 is a structural schematic diagram of a power grid fault monitoring device provided by an embodiment of the present application.

[0034] Figure 3 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor should be within the scope of protection of the present application.

[0036] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and in the above drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the application described herein can encompass orders of implementation other than those illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device including a series of steps or units does not have to be limited to only those steps or units clearly listed, but can include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0037] Embodiment one

[0038] Referring to Figure 1 , a flowchart of a power grid fault monitoring method provided by an embodiment of the present application is shown, which can be executed by a power grid fault monitoring device, which can be realized in the form of hardware and / or software, and can be configured in an electronic device. As Figure 1 shown, the method comprises:

[0039] Step 101, collecting operation parameters of generators and electrical equipment in each monitoring point of the power grid.

[0040] In the power grid, monitoring points can be arranged for generators and other key electrical equipment such as transformers, circuit breakers, busbars, etc. Current transformers, voltage transformers, temperature sensors, vibration sensors, etc. are installed at the monitoring points, so that the corresponding operation parameters of the generators and electrical equipment, such as current, voltage, frequency, temperature, vibration parameters, etc. can be collected, to ensure that the state changes of the generators and electrical equipment can be captured.

[0041] The collected operation parameters are transmitted to the monitoring center through a stable communication network, and time synchronization, filtering and denoising, etc. are performed for preprocessing, to ensure the data quality of the operation parameters.

[0042] Step 102, extracting fault-related operation features from the operation parameters.

[0043] In this embodiment, machine learning or deep learning, etc. can be used to project the operation parameters into the vector space of the fault, and to extract the features related to the fault from the operation parameters, which are denoted as operation features.

[0044] In one way, the power grid can be quickly arranged to expand by using a double-layer scheduling and spectrum cycle automatic detection mode according to the following formula:

[0045]

[0046] wherein T is the characteristic arrangement spread, I 平 is the average value of the current, EX is the spectral period, γ is the weight, and m is the number of currents.

[0047] The characteristic arrangement spread is substituted into the following formula, and the upper limit value of the power of the power grid is calculated using the multi-parameter data fusion fault diagnosis technology:

[0048]

[0049] wherein E(X) is the upper limit value of the power, T is the characteristic arrangement spread, I 平 is the average value of the current, EX is the spectral period, γ is the weight, and m is the number of currents.

[0050] Since the power grid has many characteristics, in order to realize rapid analysis and identification, the upper limit value of the power is substituted into the following formula, and the distribution interval of the power of the power grid is calculated using the expert library identification scheme based on artificial intelligence:

[0051]

[0052] wherein z is the distribution interval of the power, E(X) is the upper limit value of the power, I 平 is the average value of the current, and m is the number of currents, τ -1 / 2 is the spectral data of the load side under the power balance of the power grid.

[0053] The distribution interval of the power is substituted into the following formula, the fuzzy parameter set of the power grid distribution is determined according to the total unit total power detection analysis, and the fault parameters of the power grid are calculated in combination with the multi-parameter fusion method:

[0054]

[0055] wherein k(x) is the fault parameter, x(t) is the value of the fault parameter at time t, and z is the distribution interval of the power.

[0056] The fault parameter is substituted into the following formula, and the operating characteristics of the power grid are calculated using the state space fusion technology:

[0057]

[0058] wherein D is the operating characteristics, X is the set of fault parameters, x(t) is the value of the fault parameter at time t, k(t) is the penalty coefficient at time t, and z is the distribution interval of the power.

[0059] In this way, the accuracy and efficiency of extracting the operating characteristics related to the fault can be ensured, laying a foundation for realizing rapid analysis and detection of the fault.

[0060] Step 103, detecting the running state of the generator and electrical equipment according to the running feature.

[0061] In this embodiment, the power grid can be monitored in real time according to the running feature, the running state of the generator and other electrical equipment can be monitored in real time, and faults can be found in time.

[0062] In a specific implementation, a running range representing normality can be set for the running feature, and the running range can be set according to factors such as equipment type, fluctuation range of the running feature in history, and experience knowledge, and can include an upper threshold and a lower threshold.

[0063] The change amplitude of the running feature is detected by using a sliding average method or the like, so as to facilitate judging whether the running feature presents an abnormal trend such as sharp rise or sharp fall.

[0064] If the running feature exceeds the running range or the change amplitude is greater than a preset change threshold, it is determined that the running state of the generator and electrical equipment is a fault, at this time, an abnormal alarm is triggered.

[0065] Step 104, if the running state is a fault, identifying the type of the fault according to the running parameter.

[0066] When it is confirmed that the generator and electrical equipment have a fault, the running parameter at the fault moment is analyzed to analyze the electrical quantity change by using an expert system, machine learning, deep learning, or the like, so as to identify the type of the fault, for example, internal fault of the generator (such as short circuit), transformer fault, line fault, and the like.

[0067] In a specific implementation, the running parameter includes current, voltage, and action information of a relay protector, wherein the action information of the relay protector includes overcurrent, overvoltage, undervoltage, overload, and the like, and can be used as a fault indicator.

[0068] On one hand, the current and voltage can be converted from time domain to frequency domain by using a Fourier transform or the like, and first feature information on the waveform is extracted from the current and voltage in the frequency domain, for example, frequency spectrum distribution, harmonic content, phase angle difference, and the like.

[0069] On the other hand, second feature information on the time domain is extracted from the current and voltage in the time domain, for example, mean value, variance, standard deviation, skewness, kurtosis, and the like.

[0070] The first feature information, the second feature information, and the action information are input into a preset support vector machine (SVM) to identify the type of the fault.

[0071] Step 105, positioning the distance between the fault and the nearest monitoring point in the power grid.

[0072] When the generator and electrical equipment fault is confirmed, the determination condition of the power transmission line fault area positioning can be set, the automatic ranging of the fault position is completed by using the coefficient voltage amplitude, the distance between the fault position and the nearest monitoring point is calculated in combination with the operation parameters of the generator and electrical equipment.

[0073] If the fault area is divided into two parts, the length ratio is defined as y:(1-y), wherein 0≤y≤1; the line impedance of the area is set as Z lm For the fault component positive sequence network number analysis, Z l and Z m are equivalent impedances at both ends of the fault area, for the node l and the node m, the Kirchhoff current law (KCL) is followed, and then:

[0074]

[0075] wherein, the node l and the node m constitute the positive sequence fault voltage vector of the fault area, and y represents the length of the fault area.

[0076] Since the fault area positioning in the power grid can be realized by obtaining the voltage amplitude information of each node, the distance of the fault in the power transmission line of the power grid can be realized by using the voltage amplitude information.

[0077] In the specific implementation, the nodes at both ends of the fault area in the power grid (i.e., the node l and the node m) are determined, and the equivalent impedances at both ends of the fault area are calculated.

[0078] In the reconstruction of the Kirchhoff current law, it is judged whether the nodes corresponding to the two largest elements are the nodes at both ends of the fault area.

[0079] If yes, the positive sequence fault voltage vector of each node in the power grid is calculated, the voltage amplitude of each node in the power grid is obtained, and the voltage amplitude between the nodes at both ends of the fault area in the power grid is positioned.

[0080] The distance between the fault and the nearest monitoring point is calculated based on the voltage amplitude of the fault area and the equivalent impedance.

[0081] If no, the next reconstruction is returned to be executed, that is, in the reconstruction of the Kirchhoff current law, it is judged whether the nodes corresponding to the two largest elements are the nodes at both ends of the fault area, until the nodes at both ends of the fault area are positioned.

[0082] In the embodiment, the fault ranging can be automated, the process of manual intervention is reduced, the speed and accuracy of the ranging are improved, and especially when a complex fault is processed, key information can be quickly provided.

[0083] Step 106, locate the position of the generator and electrical equipment with failure according to the distance.

[0084] In this embodiment, the position of the generator and electrical equipment with failure can be located in the power grid on the basis of the distance.

[0085] In a specific implementation, the topology of the power grid can be queried, and if the topology is regarded as a graph, the operating parameters and the distance are substituted into a shortest path model based on graph theory in the topology to calculate the position of the generator and electrical equipment with failure.

[0086] The shortest path model based on graph theory is represented as follows:

[0087]

[0088] Where d(v, w) is the shortest path (length) from vertex v to vertex w, P(v, w) is all paths from vertex v to vertex w, and w(e) is the weight of edge e.

[0089] In this embodiment, the fault is located in combination with the static topology of the power grid and the dynamic operating parameters, which can effectively improve the accuracy of fault location.

[0090] Step 107, generate impact information of the generator and electrical equipment under the fault according to the operating parameters.

[0091] In this embodiment, the impact information of the generator and electrical equipment under the fault can be generated according to the operating parameters at the fault time, such as the extent of equipment damage, system stability, power supply reliability, and the like, to provide a basis for fault handling.

[0092] In a specific implementation, the current limit circle and voltage limit feature detection method are used to perform distributed fusion clustering on the relay protection secondary circuit in the power grid to obtain aggregated information.

[0093] The constraint evolutionary method in the charging and discharging process is used to determine the distributed detection information in the relay protection secondary circuit in the power grid.

[0094] Real-time spectral features are monitored, and the voltage and current in the relay protection secondary circuit in the power grid are obtained, and the midpoint point balance method is used to synthesize the aggregated information and the distributed detection information to generate impact information of the generator and electrical equipment.

[0095] Step 108, aggregate the type, position, and impact information into the content of the fault and publish it.

[0096] In the embodiment, the type of the fault, the location of the fault, and the impact information of the fault can be timely notified to the operation and maintenance personnel and the management layer through a monitoring system in the power grid in the form of a short message, a mobile application, or the like.

[0097] The operation and maintenance personnel can take corresponding maintenance or emergency measures according to the content of the fault to restore the normal operation of the generator and the electrical equipment in the power grid and record the fault processing process to provide a reference for the maintenance and improvement of the generator and the electrical equipment.

[0098] In the embodiment, the operation parameters of the generator and the electrical equipment are collected at each monitoring point in the power grid, the operation features related to the fault are extracted from the operation parameters, the operation state of the generator and the electrical equipment is detected according to the operation features, if the operation state is a fault, the type of the fault is identified according to the operation parameters, the distance between the fault and the nearest monitoring point in the power grid is located, the location of the generator and the electrical equipment where the fault occurs is located according to the distance, the impact information of the generator and the electrical equipment under the fault is generated according to the operation parameters, and the type, the location, and the impact information are aggregated as the content of the fault for publishing. The embodiment provides multi-dimensional information such as the type, the location, and the impact information of the fault, reduces the dependence on a single parameter, facilitates the operation and maintenance personnel to quickly identify and locate the fault, effectively improves the accuracy of fault diagnosis, and thus quickly takes repair measures to reduce the fault processing time.

[0099] Further, the accurate fault location reduces unnecessary equipment inspection and maintenance work and reduces the maintenance cost. Through the fast and accurate processing of the fault, the reliability and stability of the power grid are improved, and the power supply interruption caused by the fault is reduced.

[0100] Embodiment Two

[0101] Referring to Figure 2 , a structure schematic diagram of a fault monitoring device of a power grid provided by an embodiment two of the present application is shown. As Figure 2 indicated, the device comprises:

[0102] An operation parameter collection module 201 is configured to collect operation parameters of a generator and electrical equipment at each monitoring point in a power grid.

[0103] An operation feature extraction module 202 is configured to extract operation features related to a fault from the operation parameters.

[0104] An operation state detection module 203 is configured to detect an operation state of the generator and the electrical equipment according to the operation features.

[0105] A fault type identification module 204 is configured to identify a type of the fault according to the operation parameters if the operation state is a fault.

[0106] a fault distance positioning module 205, configured to position a distance between the fault and a nearest monitoring point in the power grid;

[0107] a fault position positioning module 206, configured to position a position of the power generator and the electrical equipment where the fault occurs according to the distance;

[0108] an impact information generating module 207, configured to generate impact information of the power generator and the electrical equipment under the fault according to the operation parameter;

[0109] a fault publishing module 208, configured to aggregate the type, the position and the impact information into content of the fault and publish the content.

[0110] In an embodiment of the present application, the operation feature extracting module 202 is further configured to:

[0111] a characteristic arrangement spread of the power grid is calculated by the following formula:

[0112]

[0113] wherein T is the characteristic arrangement spread, I 平 is the average value of the current, EX is the spectrum period, γ is the weight, and m is the number of the current;

[0114] the upper limit value of the power of the power grid is calculated by substituting the characteristic arrangement spread into the following formula:

[0115]

[0116] wherein E(X) is the upper limit value of the power, T is the characteristic arrangement spread, I 平 is the average value of the current, EX is the spectrum period, γ is the weight, and m is the number of the current;

[0117] the distribution interval of the power of the power grid is calculated by substituting the upper limit value of the power into the following formula:

[0118]

[0119] wherein z is the distribution interval of the power, E(X) is the upper limit value of the power, I 平 is the average value of the current, and m is the number of the current, τ -1 / 2 is the spectrum data of the load side of the power balance of the power grid;

[0120] the fault parameter of the power grid is calculated by substituting the distribution interval of the power into the following formula:

[0121]

[0122] wherein k(x) is a fault parameter, x(t) is a value of the fault parameter at time t, and z is a distribution interval of power;

[0123] The fault parameter is substituted into the following formula to calculate a running feature of the power grid:

[0124]

[0125] wherein D is a running feature, X is a set of fault parameters, x(t) is a value of the fault parameter at time t, k(t) is a penalty coefficient at time t, and z is a distribution interval of power.

[0126] In an embodiment of the present application, the running state detection module 203 is further configured to:

[0127] query a running range representing normality set for the running feature;

[0128] detect a variation amplitude of the running feature;

[0129] if the running feature is out of the running range or the variation amplitude is greater than a preset variation threshold, determine that the running state of the generator and the electrical equipment is faulty.

[0130] In an embodiment of the present application, the running parameters include current, voltage and action information of a relay protector.

[0131] The fault type identification module 204 is further configured to:

[0132] extract first feature information on a waveform from the current and the voltage respectively;

[0133] extract second feature information on a time domain from the current and the voltage respectively;

[0134] input the first feature information, the second feature information and the action information into a preset support vector machine to identify the type of the fault.

[0135] In an embodiment of the present application, the fault distance positioning module 205 is further configured to:

[0136] determine nodes at two ends of a region where the fault occurs in the power grid, and calculate equivalent impedance at the two ends of the region where the fault occurs;

[0137] in reconstruction of Kirchhoff's current law, judge whether nodes corresponding to two elements with maximum values are nodes at two ends of the region where the fault occurs;

[0138] if yes, position voltage amplitude between nodes at two ends of the region where the fault occurs in voltage amplitudes of each node in the power grid.

[0139] calculating a distance between the fault and the nearest monitoring point based on the voltage amplitude and the equivalent impedance of the area where the fault occurs;

[0140] If no, return to execute the judging whether the nodes corresponding to two numerical maximum elements are nodes at both ends of the area of the fault in the reconstruction of Kirchhoff's current law.

[0141] In an embodiment of the present application, the fault location positioning module 206 is further configured to:

[0142] querying a topology of the power grid;

[0143] in the topology, substituting the operating parameters and the distance into a shortest path model based on graph theory to calculate the positions of the generator and the electrical equipment where the fault occurs.

[0144] In an embodiment of the present application, the influence information generation module 207 is further configured to:

[0145] performing distributed fusion clustering on relay protection secondary circuits in the power grid by means of current limit circle and voltage limit feature detection to obtain aggregated information;

[0146] determining distributed detection information in the relay protection secondary circuits in the power grid by means of a constraint evolutionary method in charging and discharging processes;

[0147] generating influence information of the generator and the electrical equipment by means of midpoint point position balancing method synthesizing the aggregated information and the distributed detection information.

[0148] The power grid fault monitoring device provided by the embodiments of the present application can execute the power grid fault monitoring method provided by any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of executing the power grid fault monitoring method.

[0149] Embodiment three

[0150] Referring to Figure 3 , a structure schematic diagram of an electronic device provided by an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The components shown here, their connections, and their functions, are meant to be examples only, and are not intended to limit the implementations of the present application described and / or claimed in this document.

[0151] As Figure 3As shown, the electronic device 10 includes at least one processor 11, and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., communicatively connected to the at least one processor 11, where the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or loaded into the random access memory (RAM) 13 from the storage unit 18. 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.

[0152] Various 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, a speaker, etc., a storage unit 18, such as a magnetic 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.

[0153] The processor 11 can be various general and / or special purpose 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-purpose 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 performs various methods and processes described above, such as the power grid fault monitoring method.

[0154] In some embodiments, the power grid fault monitoring method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto 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 power grid fault monitoring method described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to perform the power grid fault monitoring method by any other appropriate means, such as by means of firmware.

[0155] Various embodiments of the systems and techniques described 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), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes 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.

[0156] 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, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0157] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0158] To provide for interaction with a user, the systems and techniques described here can 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 a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0159] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can 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), blockchain network, and the Internet.

[0160] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0161] Embodiment Four

[0162] The embodiment of the present application further provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to implement the power grid fault monitoring method provided by any of the embodiments of the present application.

[0163] The computer program code can also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce the computer implemented process such that the

[0164] It should be understood that the various forms of flow shown in the figures are illustrative examples of implementing the steps of the application. Several steps have been described as being performed by a single device. It will be understood that these steps can be performed by a single device or multiple devices, and that the steps can be performed in an order different from that shown in the figures. For example, the steps described in the figures can be performed in parallel or in a different order, as long as the desired results of the application are achieved. The application is not limited in this regard.

[0165] The specific embodiments have been shown and described for the purposes of illustrating the physiological principles of the application and its practical application. It is therefore to be understood that various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the application. The scope of the application is not to be limited by specific illustrative embodiments. The application is to cover any and all modifications and the same is therefore intended to be within the scope of the application.

Claims

1. A method of fault monitoring of an electrical network, characterized in that, The method comprises the following steps: collecting operation parameters of generators and electrical equipment at each monitoring point of a power grid; the operation parameters include current, voltage and action information of a relay protector; the action information of the relay protector includes overcurrent, overvoltage, undervoltage or overload; extracting operation features related to faults from the operation parameters; detecting operation states of the generators and the electrical equipment according to the operation features; if the operation state is a fault, using a Fourier transform method to convert the current and the voltage from a time domain to a frequency domain, and extracting first feature information on a waveform from the current and the voltage in the frequency domain respectively; the first feature information includes spectral distribution, harmonic content and phase angle difference; extracting second feature information in a time domain from the current and the voltage respectively; the second feature information includes mean value, variance, standard deviation, skewness and kurtosis; inputting the first feature information, the second feature information and the action information into a preset support vector machine to identify a type of the fault; locating a distance between the fault and a nearest monitoring point in the power grid; locating positions of the generators and the electrical equipment where the fault occurs according to the distance; generating influence information of the generators and the electrical equipment under the fault according to the operation parameters; aggregating the type, the positions and the influence information into contents of the fault for publishing.

2. The method of claim 1, wherein, The extracting operation features related to faults from the operation parameters comprises the following steps: generating a characteristic arrangement of the power grid by the following formula: wherein, is a characteristic arrangement spread, is an average value of the current, is a spectral period, is a weight, is a quantity of the current; calculating an upper limit value of power of the power grid by substituting the characteristic arrangement into the following formula: wherein, is an upper limit value for the power, is a characteristic spread, is an average value for the current, is a spectral period, is a weight, is a number of currents; calculating a distribution interval of power of the power grid by substituting the upper limit value of power into the following formula: wherein is a distribution interval of the power, is an upper limit value of the power, is an average value of the current, is a number of the current, is frequency spectrum data on a load side of a power balance of the power grid; calculating a fault parameter of the power grid by substituting the distribution interval of power into the following formula: wherein, is a fault parameter, is a value of the fault parameter at the time is a distribution interval of the power;​ calculating an operation feature of the power grid by substituting the fault parameter into the following formula: wherein, is an operating characteristic, is a set of fault parameters, is a value of a fault parameter at a time , is a penalty coefficient at a time , is a distribution interval of power.

3. The method of claim 1, wherein, The detecting operation states of the generators and the electrical equipment according to the operation features comprises the following steps: inquiring an operation range representing normality set for the operation feature; detecting a change amplitude of the operation feature; if the operation feature exceeds the operation range or the change amplitude is greater than a preset change threshold, determining that the operation state of the generators and the electrical equipment is a fault.

4. The method of claim 1, wherein, The locating the distance between the fault and the nearest monitoring point in the power grid comprises the following steps: determining nodes at two ends of a region where the fault occurs in the power grid, and calculating equivalent impedance at two ends of the region where the fault occurs; judging whether nodes corresponding to two numerical maximum elements are the nodes at two ends of the region where the fault occurs in reconstruction of Kirchhoff's current law; if yes, locating voltage amplitude between the nodes at two ends of the region where the fault occurs in voltage amplitudes of each node in the power grid; calculating the distance between the fault and the nearest monitoring point based on the voltage amplitude of the region where the fault occurs and the equivalent impedance. If not, return to execute the judging whether the nodes corresponding to the two elements with the largest values are the nodes at both ends of the area of the fault in the reconstruction of the Kirchhoff's current law.

5. The method according to any one of claims 1 to 4, characterized in that, The positioning the generator and the electrical equipment where the fault occurs according to the distance comprises: Inquiring the topology of the power grid; In the topology, substituting the operating parameters and the distance into a shortest path model based on graph theory to calculate the positions of the generator and the electrical equipment where the fault occurs.

6. The method according to any one of claims 1-4, characterized in that, The generating influence information of the generator and the electrical equipment under the fault according to the operating parameters comprises: Performing distributed fusion clustering on the relay protection secondary circuit in the power grid by using current limit circle and voltage limit feature detection to obtain aggregated information; Determining the distributed detection information in the relay protection secondary circuit in the power grid by using a constraint evolutionary method in charging and discharging processes; Generating the influence information of the generator and the electrical equipment by using a midpoint point position balancing method to synthesize the aggregated information and the distributed detection information.

7. An electronic device, comprising: The electronic device comprises: at least one processor; and a memory connected with the at least one processor in communication; 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 to enable the at least one processor to execute the fault monitoring method of the power grid as claimed in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the fault monitoring method of the power grid as claimed in any one of claims 1-6.

9. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by the processor to implement the fault monitoring method of the power grid as claimed in any one of claims 1-6.

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