CN116961229A - Transformer substation fault positioning method and device, electronic equipment and storage medium - Google Patents
Transformer substation fault positioning method and device, electronic equipment and storage medium Download PDFInfo
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- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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Abstract
The embodiment of the invention discloses a transformer substation fault positioning method, a transformer substation fault positioning device, electronic equipment and a storage medium. The transformer substation fault positioning method comprises the following steps: constructing a communication state matrix according to the connection relation between the secondary systems of the transformer substation; processing normal operation data of a secondary system of the transformer substation to obtain a standardized matrix, and performing singular value decomposition on a covariance matrix of the standardized matrix; determining a threshold value of a secondary system of the transformer substation under normal working conditions according to a preset statistical index, and obtaining statistics of different sampling moments; constructing a fault contribution histogram based on statistics of different sampling moments, and analyzing the fault state of the secondary system of the transformer substation according to the fault contribution histogram; and calculating the score contribution rate of the variables in the normal operation data of the secondary system of the transformer substation, and obtaining the variable with the largest contribution rate. The invention can accurately position the faults of the secondary equipment of the transformer substation and provide efficient and accurate auxiliary decision-making for operation and maintenance personnel.
Description
Technical Field
The embodiment of the invention relates to the technical field of intelligent substation fault positioning, in particular to a substation fault positioning method, a device, electronic equipment and a storage medium.
Background
In a transformer substation, the safety and reliability of the secondary equipment are important guarantees of stable operation of the intelligent transformer substation, and the judgment and prediction of the operation state of the equipment by utilizing fault information in a secondary system are bases of intelligent operation and maintenance. With the continuous development of smart grid construction and the wide application of substation automation equipment, the number of the substation equipment and the information network scale are greatly increased. At present, the reasons of various secondary equipment faults in an intelligent substation are mainly determined by technicians in an auxiliary mode according to fault processing experience and message information of a device, and the system running state is determined by using history/real-time running information, family defect history information and the like. However, the secondary circuit is complex and lacks an effective means to analyze the correlation between fault characteristics, so that the faults are difficult to quickly locate and analyze. Therefore, it is important to realize accurate positioning of faults of secondary equipment of a transformer substation.
Disclosure of Invention
The invention provides a transformer substation fault positioning method, a device, electronic equipment and a storage medium, which can accurately position the faults of secondary equipment of a transformer substation and provide efficient and accurate auxiliary decisions for operation and maintenance personnel.
According to an aspect of the present invention, there is provided a substation fault locating method, including:
constructing a communication state matrix according to the connection relation between the secondary systems of the transformer substation;
processing normal operation data of a secondary system of the transformer substation to obtain a standardized matrix, and performing singular value decomposition on a covariance matrix of the standardized matrix;
determining a threshold value of a secondary system of the transformer substation under normal working conditions according to a preset statistical index, and obtaining statistics of different sampling moments;
constructing a fault contribution histogram based on statistics of different sampling moments, and analyzing the fault state of a secondary system of the transformer substation according to the fault contribution histogram;
and calculating the score contribution rate of the variable in the normal operation data of the secondary system of the transformer substation, and obtaining the variable with the largest contribution rate.
Optionally, before the analyzing the fault state of the substation secondary system according to the fault contribution histogram, the method further includes: and pre-detecting the fault state of the secondary system of the transformer substation according to the alarm signal.
Optionally, constructing the communication state matrix according to the connection relationship between the secondary systems of the transformer substation specifically includes: and establishing a communication state matrix by taking a logic node connected with equipment in the secondary system of the transformer substation as a minimum unit.
Optionally, the connectivity status matrix is determined based on the following formula:
wherein aij represents a communication state from node i to node j, aij=1 represents that data transmission from node i to node j can be completed, aij=0 represents that data transmission from node i to node j cannot be completed, and z is the number of logical nodes in the secondary system of the transformer substation.
Optionally, determining the threshold value of the secondary system of the transformer substation under normal working conditions based on the following formula:
wherein F is a (l, m-l) is the value of the distribution density function distribution when the degrees of freedom are l and m-l, a is the confidence level, m is the data length, l is the degree of freedom, T a And the threshold value is the threshold value of the secondary system of the transformer substation under the normal working condition.
Optionally, the information of the logical node is obtained through a substation configuration file.
Optionally, the types of the logical nodes include: at least one of sampling value, switching value, fault source, protection class node and export class node.
According to another aspect of the present invention, there is provided a substation fault locating device including:
the communication state matrix construction module is used for constructing a communication state matrix according to the connection relation between the secondary systems of the transformer substation;
the singular value decomposition module is used for processing the normal operation data of the secondary system of the transformer substation to obtain a standardized matrix and performing singular value decomposition on a covariance matrix of the standardized matrix;
the statistic determining module is used for determining a threshold value of the secondary system of the transformer substation under the normal working condition according to a preset statistical index and obtaining statistic of different sampling moments;
the fault state analysis module is used for constructing a fault contribution histogram based on statistics of different sampling moments and analyzing the fault state of the secondary system of the transformer substation according to the fault contribution histogram;
and the contribution rate calculation module is used for calculating the score contribution rate of the variable in the normal operation data of the secondary system of the transformer substation, and obtaining the variable with the largest contribution rate.
According to another aspect of the present invention, there is also provided an electronic apparatus including:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the substation fault location method according to the embodiments of the present invention.
According to another aspect of the present invention, there is also provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a substation fault location method according to an embodiment of the present invention.
According to the technical scheme, the intelligent substation secondary circuit fault positioning method based on contribution degree is provided, and a connection relation between substation secondary equipment is obtained by constructing a connection state matrix according to an intelligent substation configuration file; processing normal operation data of a secondary system of the transformer substation to obtain a standardized matrix, and performing singular value decomposition on a covariance matrix of the standardized matrix; determining a threshold value of a secondary system of the transformer substation under normal working conditions according to a preset statistical index, and obtaining statistics of different sampling moments; constructing a fault contribution histogram based on statistics of different sampling moments, and analyzing the fault state of the secondary system of the transformer substation according to the fault contribution histogram; and calculating the score contribution rate of the variables in the normal operation data of the secondary system of the transformer substation, obtaining the variable with the largest contribution rate, and obtaining the variable with the largest contribution rate as the fault point, thereby rapidly positioning and analyzing the fault. The method and the system can accurately position the faults of the secondary equipment of the transformer substation, and provide efficient and accurate auxiliary decisions for operation and maintenance personnel. In summary, the invention solves the problem that the prior art is difficult to quickly locate and analyze faults.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a substation fault location method provided according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a fault locating device of a transformer substation according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a flowchart of a transformer substation fault location method according to an embodiment of the present invention, and referring to fig. 1, the embodiment of the present invention provides a transformer substation fault location method, which may be performed by a transformer substation fault location device, which may be integrated in an electronic apparatus, and the location device may be implemented by software and/or hardware. The transformer substation fault positioning method specifically comprises the following steps:
s110, constructing a communication state matrix according to the connection relation between the secondary systems of the transformer substation.
In particular, a logical node is the smallest unit of exchange data that represents some function within a physical device or performs some operation of that function. And establishing a communication state matrix by taking the logic node as a minimum unit, obtaining an internal logic node information interaction process of the secondary equipment by analyzing the configuration information of the intelligent electronic equipment, and representing the logic node information interaction relationship by using the communication state matrix.
S120, processing normal operation data of the secondary system of the transformer substation to obtain a standardized matrix, and performing singular value decomposition on a covariance matrix of the standardized matrix.
Specifically, the operation data of the secondary system of the transformer substation under normal conditions is X 0 ＝[x 1 ，…，x n ]∈R m×n Wherein m represents the data length, n represents the variable dimension, R represents the real number domain, and the running data X 0 Normalization, can obtain:
wherein, the liquid crystal display device comprises a liquid crystal display device,sum sigma (x) i ) (i=1, …, n) respectively represent data x i The covariance matrix K of X is shown below:
singular value decomposition of the covariance matrix K of X is carried out to obtain:
K＝PΛP T
wherein, PP T ＝P T P＝I n ，Λ＝diag(λ 1 …λ n ) Diagonal eigenvalue matrices, p= [ P ], are arranged in descending order of covariance matrix K 1 ，…，p n ]∈R n×n For a load matrix, p i Is a characteristic value lambda i Corresponding to the regularized feature vector, i.e., the i-th load vector. Then P is divided intoAnd->Two parts, the corresponding Λ is divided into +.>And->Two parts:
wherein, the liquid crystal display device comprises a liquid crystal display device,
wherein, the liquid crystal display device comprises a liquid crystal display device,
s130, determining a threshold value of the secondary system of the transformer substation under the normal working condition according to a preset statistical index, and obtaining statistics of different sampling moments.
Specifically, the cumulative variance percentage (CPV) is calculated as follows:
when the value of CPV exceeds a certain percentage, the corresponding 1 is the reserved dimension, according to T 2 The statistical index determines a threshold value of normal working conditions of the secondary system of the transformer substation:
wherein F is a (l, m-l) is the value of the distribution density function (Fisher-Snedecor) when the degree of freedom is l and m-l, a is the confidence level, m is the data length, l is the degree of freedom, T a And the threshold value is the threshold value of the secondary system of the transformer substation under the normal working condition.
Wherein T is 2 (i) For statistics at the ith sample time, X test (i)∈R 1×n Representing the test data normalized at the ith sample time.
And S140, constructing a fault contribution histogram based on statistics of different sampling moments, and analyzing the fault state of the secondary system of the transformer substation according to the fault contribution histogram.
Specifically, when the secondary system is in a fault state, fault contribution histogram analysis can be performed, and a normalized score for each observed value x
Wherein, the liquid crystal display device comprises a liquid crystal display device,
h (h.ltoreq.l) scores for fault conditions are determined as follows:
if the ith normalized score satisfies the inequality, the value of h is increased by 1, otherwise, the normalized score is unchanged.
And S150, calculating the score contribution rate of the variable in the normal operation data of the secondary system of the transformer substation, and obtaining the variable with the largest contribution rate.
Specifically, each variable x is then calculated j Score t for the ith fault state i (i=1,., h) contribution C (i, j):
wherein mu j Is the jth variable mean. The total contribution rate is calculated as follows:
the variable with the largest contribution rate is the fault point:
C h ＝max(C)
according to the technical scheme, the intelligent substation secondary circuit fault positioning method based on contribution degree is provided, and a connection relation between substation secondary equipment is obtained by constructing a connection state matrix according to an intelligent substation configuration file; processing normal operation data of a secondary system of the transformer substation to obtain a standardized matrix, and performing singular value decomposition on a covariance matrix of the standardized matrix; determining a threshold value of a secondary system of the transformer substation under normal working conditions according to a preset statistical index, and obtaining statistics of different sampling moments; constructing a fault contribution histogram based on statistics of different sampling moments, and analyzing the fault state of the secondary system of the transformer substation according to the fault contribution histogram; and calculating the score contribution rate of the variables in the normal operation data of the secondary system of the transformer substation, obtaining the variable with the largest contribution rate, and obtaining the variable with the largest contribution rate as the fault point, thereby rapidly positioning and analyzing the fault. The method and the system can accurately position the faults of the secondary equipment of the transformer substation, and provide efficient and accurate auxiliary decisions for operation and maintenance personnel. In summary, the invention solves the problem that the prior art is difficult to quickly locate and analyze faults.
Optionally, before analyzing the fault state of the substation secondary system according to the fault contribution histogram, the method further includes: and pre-detecting the fault state of the secondary system of the transformer substation according to the alarm signal.
Specifically, the fault state of the secondary system of the transformer substation is pre-detected according to the alarm signal, so that the accurate and rapid positioning of the fault in the next step is facilitated.
Optionally, constructing the communication state matrix according to the connection relationship between the secondary systems of the transformer substation specifically includes: and establishing a communication state matrix by taking a logic node connected with equipment in the secondary system of the transformer substation as a minimum unit.
In particular, a logical node is the smallest unit of exchange data that represents some function within a physical device or performs some operation of that function. And establishing a communication state matrix by taking the logic node as a minimum unit, obtaining an internal logic node information interaction process of the secondary equipment by analyzing the configuration information of the intelligent electronic equipment, and representing the logic node information interaction relationship by using the communication state matrix.
Optionally, the connectivity status matrix is determined based on the following formula:
wherein aij represents a communication state from node i to node j, aij=1 represents that data transmission from node i to node j can be completed, aij=0 represents that data transmission from node i to node j cannot be completed, and z is the number of logical nodes in the secondary system of the transformer substation.
Optionally, the information of the logical node is obtained through a substation configuration file.
Specifically, the information of the logic node can be obtained through an SCD file, and protection action monitoring can be realized based on the protection action signal.
Optionally, the types of logical nodes include: at least one of sampling value, switching value, fault source, protection class node and export class node.
Specifically, different types of logical nodes may be represented by different strings, as shown in the following table:
table 1 logical node state description
TABLE 2 connected state matrix description
Optionally, the threshold value of the secondary system of the transformer substation under the normal working condition is determined based on the following formula:
wherein F is a (l, m-l) is the value of the distribution density function distribution when the degrees of freedom are l and m-l, a is the confidence level, m is the data length, l is the degree of freedom, T a And the threshold value is the threshold value of the secondary system of the transformer substation under the normal working condition.
Fig. 2 is a schematic structural diagram of a fault location device for a transformer substation according to an embodiment of the present invention, and referring to fig. 2, an embodiment of the present invention provides a fault location device for a transformer substation, including:
the communication state matrix construction module 201 is configured to construct a communication state matrix according to a connection relationship between secondary systems of the transformer substation;
the singular value decomposition module 202 is configured to process normal operation data of the secondary system of the transformer substation to obtain a standardized matrix, and perform singular value decomposition on a covariance matrix of the standardized matrix;
the statistic determining module 203 is configured to determine a threshold value of the secondary system of the transformer substation under a normal working condition according to a preset statistical index, and obtain statistics at different sampling moments;
the fault state analysis module 204 is configured to construct a fault contribution histogram based on statistics at different sampling moments, and analyze a fault state of the secondary system of the transformer substation according to the fault contribution histogram;
the contribution rate calculation module 205 is configured to calculate a score contribution rate of a variable in normal operation data of the secondary system of the substation, and obtain a variable with a maximum contribution rate.
The transformer substation fault positioning device can execute the transformer substation fault positioning method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the transformer substation fault positioning method.
With continued reference to fig. 2, optionally, the connectivity status matrix construction module 201 is specifically further configured to establish a connectivity status matrix with a logical node of a device connection in the secondary system of the substation as a minimum unit.
Optionally, the substation fault positioning device further comprises a pre-detection module, and the pre-detection module is used for pre-detecting the fault state of the substation secondary system according to the alarm signal.
Fig. 3 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, 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, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may 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 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
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, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, for example, the substation fault location method.
In some embodiments, the substation fault localization method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may 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 RAM 13 and executed by processor 11, one or more steps of the substation fault location method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the substation fault localization method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out 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, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
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 a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, 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, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically 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. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The transformer substation fault positioning method is characterized by comprising the following steps of:
constructing a communication state matrix according to the connection relation between the secondary systems of the transformer substation;
processing normal operation data of a secondary system of the transformer substation to obtain a standardized matrix, and performing singular value decomposition on a covariance matrix of the standardized matrix;
determining a threshold value of a secondary system of the transformer substation under normal working conditions according to a preset statistical index, and obtaining statistics of different sampling moments;
constructing a fault contribution histogram based on statistics of different sampling moments, and analyzing the fault state of a secondary system of the transformer substation according to the fault contribution histogram;
and calculating the score contribution rate of the variable in the normal operation data of the secondary system of the transformer substation, and obtaining the variable with the largest contribution rate.
2. The method of claim 1, wherein prior to analyzing the fault condition of the substation secondary system according to the fault contribution histogram, further comprises: and pre-detecting the fault state of the secondary system of the transformer substation according to the alarm signal.
3. The method of claim 1, wherein the constructing the connectivity status matrix according to the connection relationship between the secondary systems of the substation specifically comprises: and establishing a communication state matrix by taking a logic node connected with equipment in the secondary system of the transformer substation as a minimum unit.
4. The method of claim 1, wherein the connectivity status matrix is determined based on the following formula:
wherein aij represents a communication state from node i to node j, aij=1 represents that data transmission from node i to node j can be completed, aij=0 represents that data transmission from node i to node j cannot be completed, and z is the number of logical nodes in the secondary system of the transformer substation.
5. The method of claim 1, wherein the threshold value for the normal operating condition of the secondary system of the substation is determined based on the following formula:
wherein F is a (l, m-l) is the value of the distribution density function distribution when the degrees of freedom are l and m-l, a is the confidence level, m is the data length, l is the degree of freedom, T a And the threshold value is the threshold value of the secondary system of the transformer substation under the normal working condition.
6. A method according to claim 3, wherein the information of the logical nodes is obtained via a substation profile.
7. A method according to claim 3, wherein the type of logical node comprises: at least one of sampling value, switching value, fault source, protection class node and export class node.
8. A substation fault locating device, comprising:
the communication state matrix construction module is used for constructing a communication state matrix according to the connection relation between the secondary systems of the transformer substation;
the singular value decomposition module is used for processing the normal operation data of the secondary system of the transformer substation to obtain a standardized matrix and performing singular value decomposition on a covariance matrix of the standardized matrix;
the statistic determining module is used for determining a threshold value of the secondary system of the transformer substation under the normal working condition according to a preset statistical index and obtaining statistic of different sampling moments;
the fault state analysis module is used for constructing a fault contribution histogram based on statistics of different sampling moments and analyzing the fault state of the secondary system of the transformer substation according to the fault contribution histogram;
and the contribution rate calculation module is used for calculating the score contribution rate of the variable in the normal operation data of the secondary system of the transformer substation, and obtaining the variable with the largest contribution rate.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the substation fault localization method of any of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the substation fault localization method according to any one of claims 1-7.
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