Fault early warning method and device for main and distribution networks, electronic equipment and storage medium

Abstract

The invention discloses a fault early warning method and device for a main distribution network, electronic equipment and a storage medium. The method comprises the following steps: acquiring a topological structure of the main distribution network and actual operation data of the main distribution network; constructing a main distribution network graph model according to the topological structure of the main distribution network; constructing a power flow model according to the main distribution network graph model and the actual operation data of the main distribution network; performing power flow simulation analysis according to the power flow model to generate power flow of each line of the main and distribution networks; comparing the power flow of each line with the rated load of each line, and judging whether a line overload risk exists or not; and sending out a first alarm signal under the condition that the main distribution network has the line overload risk. By implementing the method, whether the overload risk exists in the line can be accurately predicted, frequent and repeated detection operations are reduced, unnecessary labor and time costs are reduced, a powerful guarantee is provided for stable operation of a power grid, and potential fault risks and operation and maintenance burdens are reduced.

Description

Technical Field

[0001] The present invention relates to the field of main distribution network safety technology, and in particular to a main distribution network fault early warning method, device, electronic equipment and storage medium. Background Art

[0002] In modern power systems, fault detection of the main distribution network is crucial. As the backbone of power transmission, the operating status of the main distribution network is directly related to the safety and reliability of the entire power supply. Since the main distribution network covers a wide range and involves complex equipment and lines, once a fault occurs, it will not only cause power outages, but may also affect a wide range of areas. Therefore, timely and accurate detection and prediction of fault risks in the main distribution network is the key to ensuring the stable operation of the power system.

[0003] Existing fault detection technology mainly relies on traditional periodic inspections and manual inspections. Although this method can provide regular maintenance and inspection for equipment, it wastes resources in many cases. Since the probability of equipment failure is usually low, frequent inspections often fail to detect actual faults when the equipment is operating normally, resulting in a waste of manpower, time, and equipment maintenance resources. Periodic inspections and manual inspections require a large number of operation and maintenance personnel to perform inspections, which not only occupies valuable operation and maintenance resources, but also significantly increases operation and maintenance costs. Especially when the equipment is operating well and there are no faults, these inspections will still be carried out as planned, consuming a lot of time and resources, resulting in unnecessary cost burdens. Summary of the invention

[0004] The embodiments of the present invention provide a fault warning method, device, electronic device and storage medium for a main distribution network. By implementing the present invention, fault warning for the main distribution network can be achieved, reducing potential fault risks and operation and maintenance burdens, thereby ensuring the stable operation of the power grid.

[0005] An embodiment of the present invention provides a fault warning method for a main distribution network, comprising:

[0006] Obtain the topological structure of the main distribution network and the actual operation data of the main distribution network;

[0007] According to the topological structure of the main distribution network, a main distribution network diagram model is constructed; according to the main distribution network diagram model and the actual operation data of the main distribution network, a power flow model is constructed;

[0008] Conduct power flow simulation analysis based on the power flow model to generate the power flow of each line in the main distribution network;

[0009] Compare the power flow of each line with the rated load of each line to determine whether there is a risk of line overload;

[0010] When there is a risk of line overload in the main distribution network, the first alarm signal is issued.

[0011] Furthermore, the main distribution network fault early warning method further includes:

[0012] Obtain the equipment temperature and equipment age of the transformer in the main distribution network; obtain the operating current and equipment power of the transformer from the actual operating data of the main distribution network;

[0013] Input the equipment temperature, equipment age, operating current and equipment power of the transformer into the support vector machine model to determine whether the transformer has a risk of transformer winding overheating; wherein the support vector machine model is trained by the historical feature vector and fault label of the transformer; the historical feature vector is composed of the historical equipment temperature, historical equipment power, historical operating current and historical equipment age of the transformer; the fault label is generated by the historical fault condition of the transformer;

[0014] When there is a risk of transformer winding overheating in the main distribution network, a second alarm signal is issued.

[0015] Furthermore, the power flow model includes:

[0016]

[0017]

[0018] Among them, P i is the active power of node i; Q i is the reactive power of node i; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the conductance of line ij; B ij is the susceptance of line ij; θ ij is the voltage phase angle difference between node i and node j.

[0019] Furthermore, the power flow simulation analysis is performed based on the power flow model to generate the power flow of each line of the main distribution network, including:

[0020] According to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network, the voltage amplitude and the voltage phase angle of the node are solved;

[0021] According to the voltage amplitude and voltage phase angle of the node, the power flow of each line of the main distribution network is calculated.

[0022] Furthermore, the power flow of each line of the main distribution network is calculated by the following formula:

[0023]

[0024] Among them, P ij is the power flow of line ij; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the conductance of line ij; B ij is the susceptance of line ij; θ ij is the voltage phase angle difference between node i and node j.

[0025] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0026] An embodiment of the present invention provides a fault warning device for a main distribution network, comprising: a data acquisition module, a model building module, a power flow calculation module, an overload risk assessment module and a first alarm module;

[0027] The data acquisition module is used to acquire the topological structure of the main distribution network and the actual operation data of the main distribution network;

[0028] The model building module is used to build a main distribution network graph model according to the topological structure of the main distribution network; and to build a power flow model according to the main distribution network graph model and actual operation data of the main distribution network;

[0029] The power flow calculation module is used to perform power flow simulation analysis according to the power flow model to generate the power flow of each line of the main distribution network;

[0030] The overload risk assessment module is used to compare the power flow of each line with the rated load of each line to determine whether there is a line overload risk;

[0031] The first alarm module is used to send a first alarm signal when there is a risk of line overload in the main distribution network.

[0032] Furthermore, it also includes: a second alarm module;

[0033] The second alarm module is used to obtain the equipment temperature of the transformer in the main distribution network and the equipment age of the transformer; obtain the operating current of the transformer and the equipment power of the transformer from the actual operation data of the main distribution network; input the equipment temperature, equipment age, operating current and equipment power of the transformer into the support vector machine model to determine whether the transformer has a risk of transformer winding overheating; when there is a risk of transformer winding overheating in the main distribution network, a second alarm signal is issued; wherein the support vector machine model is trained by the historical feature vector and fault label of the transformer; the historical feature vector is composed of the historical equipment temperature, historical equipment power, historical operating current and historical equipment age of the transformer; the fault label is generated by the historical fault conditions of the transformer.

[0034] Further, the power flow calculation module includes: a voltage amplitude calculation unit, a voltage phase angle calculation unit and a power flow calculation unit;

[0035] The voltage amplitude calculation unit is used to solve the voltage amplitude of the node according to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network;

[0036] The voltage phase angle calculation unit is used to solve the voltage phase angle of the node according to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network;

[0037] The power flow calculation unit is used to calculate and generate the power flow of each line of the main distribution network according to the voltage amplitude of the node and the voltage phase angle of the node.

[0038] Based on the above method item embodiments, the present invention provides corresponding electronic device item embodiments.

[0039] An embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the fault warning method for the main distribution network described in any one of the above method embodiments can be implemented.

[0040] Based on the above method item embodiments, the present invention provides a corresponding storage medium item embodiment.

[0041] An embodiment of the present invention provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the fault warning method for the main distribution network described in any one of the above method embodiments can be implemented.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The embodiment of the present invention provides a fault warning method, device, electronic device and storage medium for the main distribution network. The method generates the power flow of the line through flow calculation and compares it with the rated load of the line, which can accurately predict whether the line has an overload risk, thereby realizing dynamic monitoring of key lines in the power grid and improving the accuracy of fault prediction; through the support vector machine model, the real-time data such as the equipment temperature, power, operating current and equipment age of the transformer are analyzed to effectively predict the overheating risk of the transformer winding; such a detection method can not only cover the common fault risk points in the main distribution network, but also can send out early warning signals at the early stage of the fault hidden danger, avoiding the traditional method of relying on regular inspections and manual inspections, effectively reducing frequent and repeated detection operations, reducing unnecessary labor and time costs, improving the operating efficiency and safety of the main distribution network, providing a strong guarantee for the stable operation of the power grid, and reducing potential fault risks and operation and maintenance burdens. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a flow chart of a fault warning method for a main distribution network provided by an embodiment of the present invention.

[0045] Figure 2 It is a structural diagram of a fault warning device for a main distribution network provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] 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.

[0047] like Figure 1 As shown, an embodiment of the present invention provides a fault warning method for a main distribution network, which at least includes the following steps:

[0048] Step S1, obtaining the topological structure of the main distribution network and the actual operation data of the main distribution network;

[0049] In one embodiment, the actual operation data of the main distribution network includes: active power of nodes, reactive power of nodes, susceptance of lines, conductance of lines, operating current of transformers in the main distribution network, and equipment power of transformers in the main distribution network.

[0050] In the specific implementation, the actual operation data of the main distribution network is collected by sensors. The layout of sensors adopts an algorithm that maximizes coverage, such as the region segmentation algorithm based on the Voronoi diagram, to ensure the optimal layout of sensors at key nodes. The sampling frequency and sensitivity of the sensors are set based on the Bayesian optimization or gradient descent algorithm, and the sampling frequency and sensitivity of the sensors are dynamically adjusted to adapt to load peaks or abnormal fluctuations.

[0051] Optionally, combining geographic information system data, constructing the node and line connection relationship of the main distribution network, and generating the topological structure of the main distribution network;

[0052] Step S2: construct a main distribution network graph model according to the topological structure of the main distribution network; construct a power flow model according to the main distribution network graph model and actual operation data of the main distribution network;

[0053] Optionally, the nodes of the main distribution network graph model represent substations, access points, load points, generators, etc.; the edges of the main distribution network graph model, i.e., lines, represent transmission lines, cables, power supply lines, etc.

[0054] Specifically, in a preferred embodiment, the power flow model includes:

[0055]

[0056]

[0057] Among them, P i is the active power of node i; Q i is the reactive power of node i; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the conductance of line ij; B ij is the susceptance of line ij; θ ij is the voltage phase angle difference between node i and node j.

[0058] Step S3: Perform power flow simulation analysis according to the power flow model to generate the power flow of each line of the main distribution network;

[0059] Specifically, in a preferred embodiment, a power flow simulation analysis is performed according to the power flow model to generate the power flow of each line of the main distribution network, including:

[0060] According to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network, the voltage amplitude and the voltage phase angle of the node are solved;

[0061] According to the voltage amplitude and voltage phase angle of the node, the power flow of each line of the main distribution network is calculated.

[0062] Optionally, the power flow of each line of the main distribution network is calculated by the following formula:

[0063]

[0064] Among them, P ij is the power flow of line ij; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the conductance of line ij; B ij is the susceptance of line ij; θ ij is the voltage phase angle difference between node i and node j.

[0065] Step S4: Compare the power flow of each line with the rated load of each line to determine whether there is a risk of line overload;

[0066] It is understandable that by simulating the power flow, the power flow of each line can be accurately calculated, and then the load conditions of each line can be understood in detail, including the active power flow of each line. This precise calculation helps to identify heavily loaded lines, especially those that are close to or exceed the rated load capacity, so as to detect possible overload risks in advance. Through real-time monitoring of line loads, load imbalances or abnormalities can be identified in a timely manner, providing a basis for the dispatch and optimization of the power system, avoiding equipment failures, outages or power outages caused by overloads, and ensuring the safe and stable operation of the power grid.

[0067] Step S5: When there is a risk of line overload in the main distribution network, a first alarm signal is issued.

[0068] It is understandable that when there is a risk of line overload in the main distribution network, the beneficial effect of issuing the first alarm signal is that it can achieve early warning of potential risks, and promptly remind operation and maintenance personnel to pay attention and take countermeasures. This process helps to avoid safety accidents such as power equipment failure, fire or large-scale shutdown that may be caused by line overload. By timely discovering and warning of overload risks, it is possible to effectively reduce power losses and equipment damage caused by overload, and extend the service life of power equipment. In addition, early warning can also optimize the load scheduling of the power grid, reasonably allocate power grid resources, avoid system instability caused by uneven load or concentrated load, and improve the operation efficiency and reliability of the power grid.

[0069] Another embodiment of the present invention provides a fault warning method for a main distribution network, which includes the following steps after step S5 in addition to steps S1 to S5 of the above embodiment:

[0070] Step S6, obtaining the equipment temperature of the transformer in the main distribution network and the equipment age of the transformer; obtaining the operating current of the transformer and the equipment power of the transformer from the actual operation data of the main distribution network;

[0071] Step S7, input the equipment temperature, equipment age, operating current and equipment power of the transformer into a support vector machine model to determine whether the transformer has a risk of transformer winding overheating; wherein the support vector machine model is trained by the historical feature vector and fault label of the transformer; the historical feature vector is composed of the historical equipment temperature, historical equipment power, historical operating current and historical equipment age of the transformer; the fault label is generated by the historical fault conditions of the transformer;

[0072] Step S8: When there is a risk of transformer winding overheating in the main distribution network, a second alarm signal is issued.

[0073] It should be noted that during the training process of the support vector machine model, the data set is first split into a training set and a test set. Then, a suitable kernel function is selected to train the support vector machine model. Common kernel functions include linear kernels and Gaussian radial basis kernels. The model is trained using the historical feature vectors and fault labels of the transformer. The goal is to use the feature vectors to determine whether there is a risk of winding overheating, so as to predict faults. The feature vectors include historical equipment temperature, historical equipment power, historical operating current, and historical equipment age. After training, the support vector machine model will contain the optimal weight vector, bias term, and support vector.

[0074] In actual applications, the transformer's equipment temperature, equipment age, operating current, and equipment power are input into the trained support vector machine model to predict whether the transformer has a risk of winding overheating. If the model output is 1, it means that the transformer is at risk of failure. At this time, the system will issue a second alarm signal to prompt the equipment maintenance department to check or repair the transformer in time, thereby achieving early warning and timely maintenance of winding overheating failures.

[0075] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0076] like Figure 2 As shown, an embodiment of the present invention provides a fault warning device for a main distribution network, including: a data acquisition module 101, a model building module 102, a power flow calculation module 103, an overload risk assessment module 104 and a first alarm module 105;

[0077] The data acquisition module 101 is used to acquire the topological structure of the main distribution network and the actual operation data of the main distribution network;

[0078] The model building module 102 is used to build a main distribution network graph model according to the topological structure of the main distribution network; and to build a power flow model according to the main distribution network graph model and actual operation data of the main distribution network;

[0079] The power flow calculation module 103 is used to perform power flow simulation analysis according to the power flow model to generate the power flow of each line of the main distribution network;

[0080] The overload risk assessment module 104 is used to compare the power flow of each line with the rated load of each line to determine whether there is a line overload risk;

[0081] The first alarm module 105 is used to send a first alarm signal when there is a risk of line overload in the main distribution network.

[0082] In an optional embodiment, the fault warning device of the main distribution network further includes: a second alarm module;

[0083] The second alarm module is used to obtain the equipment temperature of the transformer in the main distribution network and the equipment age of the transformer; obtain the operating current of the transformer and the equipment power of the transformer from the actual operation data of the main distribution network; input the equipment temperature, equipment age, operating current and equipment power of the transformer into the support vector machine model to determine whether the transformer has a risk of transformer winding overheating; when there is a risk of transformer winding overheating in the main distribution network, a second alarm signal is issued; wherein the support vector machine model is trained by the historical feature vector and fault label of the transformer; the historical feature vector is composed of the historical equipment temperature, historical equipment power, historical operating current and historical equipment age of the transformer; the fault label is generated by the historical fault conditions of the transformer.

[0084] In an optional embodiment, the power flow calculation module includes: a voltage amplitude calculation unit, a voltage phase angle calculation unit and a power flow calculation unit;

[0085] The voltage amplitude calculation unit is used to solve the voltage amplitude of the node according to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network;

[0086] The voltage phase angle calculation unit is used to solve the voltage phase angle of the node according to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network;

[0087] The power flow calculation unit is used to calculate and generate the power flow of each line of the main distribution network according to the voltage amplitude of the node and the voltage phase angle of the node.

[0088] It should be noted that the embodiments of the device described above correspond to the above embodiments of the present invention, and can implement any of the methods described above in the present invention. In addition, the embodiments of the above-mentioned device are merely schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules 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 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 can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0089] Based on the above method embodiment of the present invention, a corresponding electronic device embodiment is provided.

[0090] An embodiment of the present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the fault warning method for the main distribution network described in any one of the present invention is implemented, or when the processor executes the computer program, the functions of each module in the above-mentioned device embodiments are implemented.

[0091] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of implementing specific functions, which are used to describe the execution process of the computer program in the terminal device.

[0092] 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.

[0093] 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.

[0094] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the terminal device by running or executing the computer program and / or module 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 (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0095] Based on the above method embodiment, the present invention provides a storage medium embodiment;

[0096] 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 any one of the above-mentioned main distribution network fault warning methods of the present invention.

[0097] The storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form, etc. 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, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0098] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0099] 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 early warning method for a main distribution network, characterized in that: include: Obtain the topological structure of the main distribution network and the actual operation data of the main distribution network; According to the topological structure of the main distribution network, a main distribution network graph model is constructed; Construct a power flow model based on the main distribution network diagram model and the actual operation data of the main distribution network; Conduct power flow simulation analysis based on the power flow model to generate the power flow of each line in the main distribution network; Compare the power flow of each line with the rated load of each line to determine whether there is a risk of line overload; When there is a risk of line overload in the main distribution network, the first alarm signal is issued.

2. A fault early warning method for a main distribution network as claimed in claim 1, characterized in that: Also includes: Obtain the equipment temperature and equipment age of the transformer in the main distribution network; Obtain the operating current and equipment power of the transformer from the actual operating data of the main distribution network; Input the equipment temperature, equipment age, operating current and equipment power of the transformer into the support vector machine model to determine whether the transformer has a risk of transformer winding overheating; wherein the support vector machine model is trained by the historical feature vector and fault label of the transformer; the historical feature vector is composed of the historical equipment temperature, historical equipment power, historical operating current and historical equipment age of the transformer; the fault label is generated by the historical fault condition of the transformer; When there is a risk of transformer winding overheating in the main distribution network, a second alarm signal is issued.

3. A fault early warning method for a main distribution network as claimed in claim 1, characterized in that: The power flow model comprises: Among them, P i is the active power of node i; Q i is the reactive power of node i; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the conductance of line ij; B ij is the susceptance of line ij; θ ij is the voltage phase angle difference between node i and node j.

4. A fault early warning method for a main distribution network as claimed in claim 1, characterized in that: Perform power flow simulation analysis based on the power flow model to generate the power flow of each line in the main distribution network, including: According to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network, the voltage amplitude and the voltage phase angle of the node are solved; According to the voltage amplitude and voltage phase angle of the node, the power flow of each line of the main distribution network is calculated.

5. A fault early warning method for a main distribution network as claimed in claim 4, characterized in that: The power flow of each line of the main distribution network is calculated by the following formula: Among them, P ij is the power flow of line ij; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the conductance of line ij; B ij is the susceptance of line ij; θ ij is the voltage phase angle difference between node i and node j.

6. A fault warning device for a main distribution network, characterized in that: include: Data acquisition module, model building module, power flow calculation module, overload risk assessment module and first alarm module; The data acquisition module is used to acquire the topological structure of the main distribution network and the actual operation data of the main distribution network; The model building module is used to build a main distribution network graph model according to the topological structure of the main distribution network; Construct a power flow model based on the main distribution network diagram model and the actual operation data of the main distribution network; The power flow calculation module is used to perform power flow simulation analysis according to the power flow model to generate the power flow of each line of the main distribution network; The overload risk assessment module is used to compare the power flow of each line with the rated load of each line to determine whether there is a line overload risk; The first alarm module is used to send a first alarm signal when there is a risk of line overload in the main distribution network.

7. A fault warning device for a main distribution network as claimed in claim 6, characterized in that: Also includes: The second alarm module; The second alarm module is used to obtain the equipment temperature of the transformer in the main distribution network and the equipment age of the transformer; The operating current of the transformer and the equipment power of the transformer are obtained from the actual operating data of the main distribution network; the equipment temperature, equipment age, operating current and equipment power of the transformer are input into the support vector machine model to determine whether the transformer has the risk of transformer winding overheating; When there is a risk of transformer winding overheating in the main distribution network, a second alarm signal is issued; wherein the support vector machine model is trained by the historical feature vector and fault label of the transformer; the historical feature vector is composed of the historical equipment temperature, historical equipment power, historical operating current and historical equipment age of the transformer; the fault label is generated by the historical fault conditions of the transformer.

8. A fault warning device for a main distribution network as claimed in claim 6, characterized in that: The power flow calculation module includes: a voltage amplitude calculation unit, a voltage phase angle calculation unit and a power flow calculation unit; The voltage amplitude calculation unit is used to solve the voltage amplitude of the node according to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network; The voltage phase angle calculation unit is used to solve the voltage phase angle of the node according to the node active power, node reactive power, line conductance and line susceptance in the actual operation data of the main distribution network; The power flow calculation unit is used to calculate and generate the power flow of each line of the main distribution network according to the voltage amplitude of the node and the voltage phase angle of the node.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the fault warning method for the main distribution network described in any one of claims 1 to 5 can be implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can implement the fault warning method of the main distribution network as described in any one of claims 1 to 5.

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