Fault detection method and device of power distribution system, and terminal equipment storage medium

Abstract

The invention discloses a fault detection method and device for a power distribution system, and a terminal equipment storage medium, and the method comprises the steps: dividing a target power distribution system into a plurality of power distribution regions, and laying current sensors between the power distribution regions, so as to enable each current sensor to obtain a current vector and a current value at each moment; constructing a current identification matrix of the target power distribution system according to the current vectors of the current sensors; wherein each element in the current identification matrix represents the current flow direction of each power distribution area; for each current sensor, calculating a current phase vector at each moment according to a current value and a current vector at each moment and the current identification matrix; and determining a fault current sensor and a fault power distribution area according to the current phase vector at each moment, the preset difference threshold value of each current sensor and the current identification matrix. According to the invention, the fault detection efficiency and the fault detection accuracy can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fault detection, and in particular to a fault detection method, device, and terminal equipment storage medium for a power distribution system. Background Art

[0002] The Internet of Things (IoT) system is an intelligent system that connects various objects in the physical world through a network to achieve information acquisition, transmission, processing and application. The IoT system supplies power to each device in the IoT system through a large and complex power distribution system. Due to the complex internal relationships of the IoT system, when the power distribution system supplies power to the IoT system, if the equipment fails, it is difficult to quickly and accurately locate the fault location. Existing fault detection methods usually achieve fault detection by manual inspection of the IoT system by operation and maintenance personnel after a fault occurs. However, this manual inspection method is difficult to accurately and quickly locate the fault area when troubleshooting in a complex system, and the fault detection efficiency and accuracy are low. Summary of the invention

[0003] The embodiments of the present invention provide a fault detection method, an apparatus, and a terminal device storage medium for a power distribution system, which can improve the fault detection efficiency and the fault detection accuracy.

[0004] An embodiment of the present invention provides a fault detection method for a power distribution system, comprising:

[0005] Divide the target power distribution system into a number of power distribution areas, and arrange current sensors between the power distribution areas so that each current sensor acquires a current vector and a current value at each moment;

[0006] Constructing a current identification matrix of the target power distribution system according to the current vectors of each current sensor; wherein each element in the current identification matrix represents the current flow direction of each power distribution area;

[0007] For each current sensor, a current phase vector at each moment is calculated according to the current value at each moment, the current vector and the current identification matrix;

[0008] The fault current sensor and the fault distribution area are determined according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

[0009] Further, the calculating of the current phase vector at each moment according to the current value at each moment, the current vector and the current identification matrix includes:

[0010] Multiplying the current vector by the current identification matrix to obtain a first product result value;

[0011] Determine the region identification vector according to the absolute value of the first product result value;

[0012] The current phase vector at each moment is calculated based on the area identification vector and the current value at each moment.

[0013] Further, the method of determining the fault current sensor and the fault distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix includes:

[0014] For each current sensor, calculate the absolute value of the difference between the current phase vectors at two adjacent moments;

[0015] Compare the absolute value of each difference with the preset difference threshold of the current current sensor, and if it is greater than the preset difference threshold, determine that the current circuit sensor is a fault current sensor;

[0016] The fault distribution area is determined according to the location of the fault current sensor.

[0017] Furthermore, the target power distribution system is divided into a plurality of power distribution areas, including:

[0018] The target distribution system is divided into several distribution areas according to the voltage level and current capacity of the target distribution system.

[0019] Based on the above method embodiment, the present invention provides a corresponding device embodiment;

[0020] An embodiment of the present invention provides a fault detection device for a power distribution system, including: a region division and sensor layout module, a current identification matrix construction module and a fault detection module;

[0021] The area division and sensor layout module is used to divide the target power distribution system into a number of power distribution areas, and to layout current sensors between the power distribution areas, so that each current sensor obtains a current vector and a current value at each moment;

[0022] The current identification matrix construction module is used to construct a current identification matrix of the target power distribution system according to the current vector of each current sensor; wherein each element in the current identification matrix represents the current flow direction of each power distribution area;

[0023] The fault detection module is used to calculate the current phase vector at each moment for each current sensor according to the current value, current vector and current identification matrix at each moment; and determine the faulty current sensor and the faulty distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

[0024] Further, the calculating of the current phase vector at each moment according to the current value at each moment, the current vector and the current identification matrix includes:

[0025] Multiplying the current vector by the current identification matrix to obtain a first product result value;

[0026] Determine the region identification vector according to the absolute value of the first product result value;

[0027] The current phase vector at each moment is calculated based on the area identification vector and the current value at each moment.

[0028] Further, the method of determining the fault current sensor and the fault distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix includes:

[0029] For each current sensor, calculate the absolute value of the difference between the current phase vectors at two adjacent moments;

[0030] Compare the absolute value of each difference with the preset difference threshold of the current current sensor, and if it is greater than the preset difference threshold, determine that the current circuit sensor is a fault current sensor;

[0031] The fault distribution area is determined according to the location of the fault current sensor.

[0032] Furthermore, the target power distribution system is divided into a plurality of power distribution areas, including:

[0033] The target distribution system is divided into several distribution areas according to the voltage level and current capacity of the target distribution system.

[0034] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the fault detection method of a power distribution system described in the above-mentioned embodiment of the invention is implemented.

[0035] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a fault detection method for a power distribution system described in the above-mentioned embodiment of the invention.

[0036] The following beneficial effects are achieved by implementing the present invention:

[0037] The present invention provides a fault detection method, device, and terminal device storage medium for a power distribution system. The fault detection method divides a target power distribution system into a plurality of power distribution areas, and then arranges current sensors between the power distribution areas, and then obtains a current vector and a current value at each moment through each arranged current sensor; for the target power distribution system, a current identification matrix is ​​constructed according to the current vector of each current sensor, and each element in the current identification matrix represents the current flow direction of each power distribution area; then, the current value and the current vector of each current sensor at each moment are combined to calculate the current phase vector at each moment, and then the current vector of each current sensor at each moment is calculated according to the current vector at each moment. The fault current sensor and the faulty distribution area are determined by using the current phase vector, the preset difference threshold and the current identification matrix; the target distribution system is divided into regions and current sensors are arranged between the distribution areas. The current transmission between the distribution areas in the distribution system is monitored through the current vector and the real-time current value of each current sensor. The transmission current is further monitored in combination with the simple current phase vector calculation and the preset difference threshold. When the current phase vector is abnormal, the fault current sensor and the faulty distribution area can be quickly and accurately located through the current identification matrix, thereby improving the fault detection efficiency and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 It is a flow chart of a fault detection method for a power distribution system provided by an embodiment of the present invention.

[0039] Figure 2 It is a structural schematic diagram of a fault detection device for a power distribution system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0041] like Figure 1 As shown, a fault detection method for a power distribution system provided by an embodiment of the present invention includes:

[0042] Step S1: Divide the target power distribution system into a number of power distribution areas, and arrange current sensors between the power distribution areas so that each current sensor acquires a current vector and a current value at each moment;

[0043] Step S2: constructing a current identification matrix of the target power distribution system according to the current vectors of each current sensor; wherein each element in the current identification matrix represents the current flow direction of each power distribution area;

[0044] Step S3: for each current sensor, calculating the current phase vector at each moment according to the current value at each moment, the current vector and the current identification matrix;

[0045] Step S4: Determine the fault current sensor and the fault distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

[0046] Before explaining the scheme of the present invention, it should be noted that the scheme of the present invention is associated with the Internet of Things system. In order to better achieve the effect of the present invention, the architecture of the Internet of Things system is reconstructed using a hierarchical distributed structure. The Internet of Things system is divided into four layers, namely the perception layer, the network layer, the platform layer and the application layer. In the actual application of the Internet of Things, robots, drones, network cameras, online monitoring equipment and other smart terminal devices at the edge of the Internet of Things are divided into the perception layer. These smart terminals are controlled by the smart gateway in the perception layer to achieve connection from the perception layer through the network layer to the Internet of Things platform at the platform layer. The network layer is mainly responsible for realizing communication between smart terminals and the Internet of Things platform. The Internet of Things platform uploads data at the platform layer to the data center of the platform layer for analysis. The data center transmits the analyzed data to the business application platform of the application layer for use by the applications in the business application platform.

[0047] For step S1, when performing fault detection on the associated power distribution system in combination with the Internet of Things platform, it is first necessary to divide the target power distribution system into regions and decompose the target power distribution system into multiple distribution regions.

[0048] In a preferred embodiment, said dividing the target power distribution system into a number of power distribution areas includes: dividing the target power distribution system into a number of power distribution areas according to the voltage level and current capacity of the target power distribution system.

[0049] Specifically, the target power distribution system is divided into multiple power distribution areas according to the voltage level and current capacity. Preferably, the target power distribution system can be further divided in detail in combination with electrical safety requirements. Exemplarily, when the target power distribution system is divided into regions according to the voltage level, the target power distribution system can be divided into several high-voltage regions and low-voltage regions; wherein the high-voltage region is an area containing a substation or a high-voltage transmission line, and the low-voltage region is a distribution room in a residential area or a commercial building.

[0050] After completing the division of the distribution area, it is necessary to deploy current sensors between each distribution area to detect the current direction (the current direction can be determined according to the above-mentioned current vector) and the current value through the current sensor. Exemplarily, between the above-mentioned high-voltage area and the low-voltage area, it is necessary to set a voltage boundary, and at the same time, install current sensors between each high-voltage area and the low-voltage area to monitor the current change, so as to ensure the stable operation and safety of the system. Preferably, the current value and current vector monitored at each moment between the current sensors are transmitted to the edge device of the perception layer of the above-mentioned Internet of Things platform through the Transmission Control Protocol / Internet Protocol (TCP / IP), and the edge device is used as the data receiver of the current sensor, and then the monitoring data of the current sensor is provided to the remaining layers of the Internet of Things platform. In addition, the edge device is also connected to the cloud server to provide monitoring data to the cloud service. Introducing context-aware strategies as additional features in edge devices enables edge devices to filter information according to predefined standards.

[0051] It should be noted that the cloud server is located at the platform layer of the IoT platform and is closely connected to the data center, making it a key component in the platform layer responsible for large-scale data processing, storage, and providing API services. It receives pre-processed data from edge devices, performs in-depth analysis, and provides the analysis results to the application layer.

[0052] To improve the computing efficiency, the calculations in steps S2-S4 of the present invention are all processed in the cloud server and data center. This is because the IoT platform has efficient data processing capabilities and efficient communication capabilities of the MQTT / GB28181 protocol. Transmitting data to the IoT platform for computing through this protocol can effectively improve data processing efficiency.

[0053] In the network layer of the Internet of Things platform used in the present invention, data is transmitted through the MQTT protocol and the GB28181 protocol. Among them, traditional substation auxiliary equipment such as security and lighting control in the Internet of Things system communicates with the Internet of Things system through the MQTT protocol through the intelligent interface device. Video surveillance equipment, detection robots and environmental detection are transmitted through the GB28181 protocol. By controlling different edge devices to adopt different protocols for transmission, the flexibility and adaptability of data transmission are improved. The MQTT protocol is an instant messaging protocol released by IBM in 1999. It is more concise, lightweight, easy to use, suitable for message distribution in a restricted environment, and is also a lightweight publish / subscribe message transmission protocol designed for Internet of Things scenarios (low bandwidth, network delay, unstable communication). It uses TCP / IP connection, and its biggest advantage is that it can provide reliable transmission for remote devices with limited computing power and low bandwidth. The MQTT protocol completes communication through the client and server, and is divided into three identities: publisher, broker, and subscriber. The message broker is the MQTT server, and the publisher and subscriber of the message belong to the client and the publisher can also be a subscriber at the same time. Publishers and subscribers do not need to know whether the other party exists. They only need to connect to the Broker through IP and port. The Broker can filter and distribute messages according to different topics to realize message publishing and subscription. Various intelligent terminal devices in the IoT system can communicate with the IoT platform directly via the MQTT protocol, or communicate with the IoT platform via the MQTT protocol through the local network through the edge computing intelligent terminal. When using the MQTT protocol to transmit information to the cloud server, the edge device compares the current measurement value with the previously recorded measurement value. The difference between the current data and its previous measurement value is calculated by F o The coefficient is used to define the amount of data transmitted; Among them, F oThe value of is equal to 0.01, and 1% is the accuracy limit of the phase amplitude error. Only when the transmission data meets the requirements of this formula can the data be sent to the cloud server through the MQTT protocol agent. C(t) is the phase current measurement value of the current, and C′(t) is the phase current measurement value of the last transmission. By using the above method, the overall data traffic on the entire network is reduced. In addition, the load of the MQTT agent is also reduced, and the MQTT agent acts as a message agent between the edge device and the cloud server. GB28181 is a set of interface standards that can interconnect network video-related products produced by different manufacturers. The GB28181 protocol is more suitable for cross-network transmission and multi-level transmission. The camera does not need to have a fixed IP address. At present, mainstream video surveillance management platforms basically support the GB28181 protocol. When using video and camera-related terminal devices, these devices generally use the GB28181 protocol when connected. After determining the transmission protocol, the IoT platform is connected to the intelligent gateway of the perception layer through the transmission protocol, so that the monitoring data transmitted by the current sensor can be transmitted to the IoT platform and cloud server for further calculation and processing through the control of the intelligent gateway after being transmitted to the intelligent terminal at the edge.

[0054] For step S2, a current identification matrix of the target distribution system is constructed according to the current vector of each current sensor. For example, if the total number of divided distribution areas is P and the total number of current sensors is Q, the current identification matrix CIM of the target distribution system can be obtained according to P×Q, which is expressed as follows:

[0055]

[0056] Where CIM represents the current identification matrix of the target distribution system; N PQ represents the current flow relationship between the Pth current and the Qth region. For example, if the first current flows into the Qth region, then N 1Q is 1; if the first current flows out from the Qth region, then N 1Q is -1; if no current flows, otherwise, N 1Q is 0.

[0057] The current flow direction between distribution areas can be determined based on the current identification matrix of the target distribution system.

[0058] For step S3 and step S4, for each current sensor, after obtaining the current value at each moment in real time, the current phase vector at each moment is calculated according to the current value at each moment, the current vector and the current identification matrix, and the fault current sensor and the fault distribution area are determined according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

[0059] In a preferred embodiment, the calculation of the current phase vector at each moment based on the current value at each moment, the current vector and the current identification matrix includes: multiplying the current vector by the current identification matrix to obtain a first product result value; determining the area identification vector according to the absolute value of the first product result value; and calculating the current phase vector at each moment based on the area identification vector and the current value at each moment.

[0060] In a preferred embodiment, the method of determining the fault current sensor and the fault distribution area based on the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix includes: for each current sensor, calculating the absolute value of the difference between the current phase vectors at two adjacent moments; comparing each difference absolute value with the preset difference threshold of the current current sensor, and if it is greater than the preset difference threshold, determining that the current circuit sensor is a fault current sensor; and determining the fault distribution area according to the location of the fault current sensor.

[0061] Specifically, the current vector I is defined using Q elements: I = [I1 I2 ... I Q ] T ; Wherein, T is the time interval between two consecutive measurement moments. The first product result value B is obtained by multiplying the current vector I by the current identification matrix CIM;

[0062] B=CIM×I

[0063] Then, the region identification vector is determined according to the size of B:

[0064] ZIV=|B|=[K 11 K 21 ...K PI ] T

[0065] Among them, the region identification vector ZIV is a column vector with a dimension of P×1, and |·| represents taking a vector from the matrix. The current phase vector can be calculated based on the region identification vector and the current value, and its calculation formula is as follows:

[0066] ZIV p =|ziv×I p |

[0067] Among them, ZIV p Represents the current phase vector, which corresponds to the current phase. In the present invention, I p is the current of the three phases a, b and c, and its dimension is P×1.

[0068] For each current sensor, the absolute value of the difference between the current phase vectors at two adjacent moments is calculated. The corresponding calculation formula is as follows:

[0069] |ΔZIVp |=|ZIV p (t)-ZIV p (tT)

[0070] Among them, ΔZIV p For two consecutive ZIV p Difference of vectors; ZIV p (t) is the current phase vector at time t; T is the time interval between two consecutive measurement times.

[0071] By calculating the absolute value of the difference between the current phase vectors at two adjacent moments in real time, and comparing the absolute value of the difference calculated each time with the preset difference threshold, when it is greater than the preset difference threshold, the current circuit sensor is determined to be a fault current sensor. According to the location of the fault current sensor, the distribution area associated with the fault power sensor can be determined, so that the associated distribution area is used as the fault distribution area. Preferably, when there are multiple associated distribution areas, the current vector of the fault current sensor can be further combined to determine in which associated distribution areas the current is interrupted, thereby further narrowing the fault distribution area.

[0072] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0073] like Figure 2 As shown, an embodiment of the present invention provides a fault detection device for a power distribution system, including: a region division and sensor layout module, a current identification matrix construction module and a fault detection module;

[0074] The area division and sensor layout module is used to divide the target power distribution system into a number of power distribution areas, and to layout current sensors between the power distribution areas, so that each current sensor obtains a current vector and a current value at each moment;

[0075] The current identification matrix construction module is used to construct a current identification matrix of the target power distribution system according to the current vector of each current sensor; wherein each element in the current identification matrix represents the current flow direction of each power distribution area;

[0076] The fault detection module is used to calculate the current phase vector at each moment for each current sensor according to the current value, current vector and current identification matrix at each moment; and determine the faulty current sensor and the faulty distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

[0077] In a preferred embodiment, the calculating of the current phase vector at each moment according to the current value at each moment, the current vector and the current identification matrix comprises:

[0078] Multiplying the current vector by the current identification matrix to obtain a first product result value;

[0079] Determine the region identification vector according to the absolute value of the first product result value;

[0080] The current phase vector at each moment is calculated based on the area identification vector and the current value at each moment.

[0081] In a preferred embodiment, the method of determining the fault current sensor and the fault distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix includes:

[0082] For each current sensor, calculate the absolute value of the difference between the current phase vectors at two adjacent moments;

[0083] Compare the absolute value of each difference with the preset difference threshold of the current current sensor, and if it is greater than the preset difference threshold, determine that the current circuit sensor is a fault current sensor;

[0084] The fault distribution area is determined according to the location of the fault current sensor.

[0085] In a preferred embodiment, dividing the target power distribution system into a plurality of power distribution areas includes:

[0086] The target distribution system is divided into several distribution areas according to the voltage level and current capacity of the target distribution system.

[0087] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0088] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0089] Based on the above method item embodiments, the present invention provides corresponding terminal device item embodiments.

[0090] An embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a fault detection method for a power distribution system described in any one of the present invention is implemented.

[0091] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0092] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0093] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0094] Based on the above method item embodiments, the present invention provides a corresponding storage medium item embodiment.

[0095] An embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a steady-state operation control method of a microgrid as described in any one of the present invention.

[0096] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0097] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A fault detection method for a power distribution system, characterized in that: include: Divide the target power distribution system into a number of power distribution areas, and arrange current sensors between the power distribution areas so that each current sensor acquires a current vector and a current value at each moment; Constructing a current identification matrix of the target power distribution system according to the current vectors of each current sensor; wherein each element in the current identification matrix represents the current flow direction of each power distribution area; For each current sensor, a current phase vector at each moment is calculated according to the current value at each moment, the current vector and the current identification matrix; The fault current sensor and the fault distribution area are determined according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

2. A method for fault detection of a power distribution system according to claim 1, characterized in that: The calculating of the current phase vector at each moment according to the current value at each moment, the current vector and the current identification matrix comprises: Multiplying the current vector by the current identification matrix to obtain a first product result value; Determine the region identification vector according to the absolute value of the first product result value; The current phase vector at each moment is calculated based on the area identification vector and the current value at each moment.

3. A method for fault detection of a power distribution system according to claim 1, characterized in that: The method of determining the fault current sensor and the fault distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix includes: For each current sensor, calculate the absolute value of the difference between the current phase vectors at two adjacent moments; Compare the absolute value of each difference with the preset difference threshold of the current current sensor, and if it is greater than the preset difference threshold, determine that the current circuit sensor is a fault current sensor; The fault distribution area is determined according to the location of the fault current sensor.

4. A method for fault detection of a power distribution system according to claim 1, characterized in that: The target power distribution system is divided into several power distribution areas, including: The target distribution system is divided into several distribution areas according to the voltage level and current capacity of the target distribution system.

5. A fault detection device for a power distribution system, characterized in that: include: Area division and sensor placement module, current identification matrix construction module and fault detection module; The area division and sensor layout module is used to divide the target power distribution system into a number of power distribution areas, and to layout current sensors between the power distribution areas, so that each current sensor obtains a current vector and a current value at each moment; The current identification matrix construction module is used to construct a current identification matrix of the target power distribution system according to the current vector of each current sensor; wherein each element in the current identification matrix represents the current flow direction of each power distribution area; The fault detection module is used to calculate the current phase vector at each moment for each current sensor according to the current value, current vector and current identification matrix at each moment; determine the faulty current sensor and the faulty distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix.

6. A fault detection device for a power distribution system as claimed in claim 5, characterized in that: The calculating of the current phase vector at each moment according to the current value at each moment, the current vector and the current identification matrix comprises: Multiplying the current vector by the current identification matrix to obtain a first product result value; Determine the region identification vector according to the absolute value of the first product result value; The current phase vector at each moment is calculated based on the area identification vector and the current value at each moment.

7. A fault detection device for a power distribution system as claimed in claim 5, characterized in that: The method of determining the fault current sensor and the fault distribution area according to the current phase vector at each moment, the preset difference threshold of each current sensor and the current identification matrix includes: For each current sensor, calculate the absolute value of the difference between the current phase vectors at two adjacent moments; Compare the absolute value of each difference with the preset difference threshold of the current current sensor, and if it is greater than the preset difference threshold, determine that the current circuit sensor is a fault current sensor; The fault distribution area is determined according to the location of the fault current sensor.

8. A fault detection device for a power distribution system as claimed in claim 5, characterized in that: The target power distribution system is divided into several power distribution areas, including: The target distribution system is divided into several distribution areas according to the voltage level and current capacity of the target distribution system.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a fault detection method for a power distribution system as claimed in any one of claims 1 to 4 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a fault detection method for a power distribution system as claimed in any one of claims 1 to 4.

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