Fault self-adaptation and self-healing methods, intelligent agent terminals and intelligent terminals

Abstract

This application provides a fault adaptive and self-healing method, an intelligent agent terminal, and an intelligent terminal, belonging to the field of power distribution network fault monitoring technology. The method includes: receiving first electrical quantity signals and fault signals from different branch nodes; determining the number of current fault nodes based on the received fault signals; if the number of current fault nodes is single, sending a fault handling instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can perform fault handling operations on the fault node according to the first fault handling rule corresponding to the fault node; if the number of current fault nodes is multiple, determining a second fault handling rule for each fault node based on the network parameters of the power distribution network and the received first electrical quantity signals, performing fault handling operations on each fault node according to the second fault handling rule, and sending the fault handling result to the distribution master station. This application effectively improves the efficiency of fault self-diagnosis and self-healing in power distribution networks.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution network fault monitoring, in particular to a fault self-adaptation and self-healing method, an intelligent agent terminal, an intelligent terminal, a power distribution network fault monitoring system, a machine readable storage medium and a terminal device. BACKGROUND

[0002] The power distribution line is a key link in the power distribution network, which covers the widest range and has the most network nodes in the power distribution network. The feeder terminal is an important guarantee for realizing the power transmission and distribution system, and there are a large number of feeder terminals in the power distribution network. However, the existing feeder terminals usually have low intelligence level, non-uniform standards, and non-standard communication protocols. Moreover, the existing feeder terminals simultaneously play the roles of data acquisition, power distribution line fault diagnosis, and fault handling, and have poor real-time fault handling capability for transient faults. Therefore, the fault self-diagnosis and self-healing efficiency of the existing power distribution network is low, and it is difficult to meet the requirements of flexibility, controllability, intelligence, and reliability of the power distribution network. SUMMARY

[0003] The purpose of the embodiments of the present application is to provide a fault self-adaptation and self-healing method, an intelligent agent terminal, and an intelligent terminal to solve the above problems.

[0004] In order to achieve the above purpose, the first aspect of the present application provides a fault self-adaptation and self-healing method applied to an intelligent agent terminal, wherein the intelligent agent terminal is arranged at a backbone node of the power distribution network, and the method comprises the following steps.

[0005] Receiving a first electrical quantity signal and a fault signal of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, wherein the fault signal is generated by an intelligent terminal corresponding to a branch node based on the first electrical quantity signal collected after determining that the corresponding branch node is a fault node;

[0006] Determining the number of current fault nodes according to the received fault signal;

[0007] If the number of current fault nodes is single, sending a fault handling instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute the fault handling operation on the fault node according to the first fault handling rule corresponding to the fault node;

[0008] If the number of current fault nodes is multiple, determining a second fault handling rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signal, executing the fault handling operation on each fault node according to the second fault handling rule, and sending the fault handling result to the power distribution master station.

[0009] Optionally, after receiving the fault signal, the method further comprises the following steps.

[0010] acquiring a second electrical quantity signal of the intelligent agent terminal;

[0011] if it is determined that the backbone node is faulty according to the second electrical quantity signal, controlling the backbone node to be powered off or enter an island operation state.

[0012] Optionally, the backbone node is arranged on a bus of a corresponding monitoring area, and the branch node is arranged on a branch connected to the bus. The second electrical quantity signal includes:

[0013] a voltage, an inflow current and an outflow current of the backbone node;

[0014] The determination of the fault of the backbone node according to the second electrical quantity signal includes:

[0015] if it is determined that the inflow current of the backbone node is a fault current, the outflow current of the backbone node is a normal current, and the voltage of the backbone node is lower than a backbone node voltage threshold, it is determined that the backbone node is faulty.

[0016] Optionally, after the determination of the fault of the backbone node, the method further includes:

[0017] sending a state signal representing the fault of the backbone node to a neighboring intelligent agent terminal.

[0018] Optionally, the first electrical quantity signal includes:

[0019] a positive sequence voltage and a positive sequence current of the corresponding branch node;

[0020] The determination of the corresponding branch node as a faulty node based on the acquired first electrical quantity signal includes:

[0021] determining a current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with a reference power flow direction of the corresponding branch node;

[0022] if the current power flow direction of the corresponding branch node is inconsistent with the reference power flow direction, the corresponding branch node is determined as a faulty node.

[0023] Optionally, the determination of the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node includes:

[0024] if a phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is greater than 0, the power flow direction of the corresponding branch node is determined as a positive power flow direction, and if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is less than 0, the power flow direction of the corresponding branch node is determined as a negative power flow direction.

[0025] Optionally, the first fault processing rule includes:

[0026] if the current power flow direction of the fault node is a forward power flow direction, switching a relay protection setting region of the fault node to a first relay protection setting region;

[0027] if the current power flow direction of the fault node is a reverse power flow direction, switching a relay protection setting region of the fault node to a second relay protection setting region.

[0028] Optionally, the first electrical quantity signal comprises:

[0029] three-phase currents and voltages of the corresponding branch node;

[0030] determining, based on the collected first electrical quantity signal, that the corresponding branch node is a fault node, comprising:

[0031] if it is determined, according to the three-phase currents and voltages of the corresponding branch node, that the corresponding branch node has any one of a single-phase ground fault, a two-phase short-circuit ground fault, a two-phase inter-phase short-circuit fault and a three-phase inter-phase short-circuit fault, determining that the corresponding branch node is a fault node.

[0032] Optionally, determining, according to the three-phase currents and voltages of the corresponding branch node, that the corresponding branch node has any one of a single-phase ground fault, a two-phase short-circuit ground fault, a two-phase inter-phase short-circuit fault and a three-phase inter-phase short-circuit fault, comprises:

[0033] if there is no overcurrent in the corresponding branch node but there is a zero-sequence voltage, determining that the corresponding branch node has a single-phase ground fault;

[0034] if there are two-phase overcurrents in the corresponding branch node and there is a zero-sequence voltage, determining that the corresponding branch node has a two-phase short-circuit ground fault;

[0035] if there are only two-phase overcurrents in the corresponding branch node, determining that the corresponding branch node has a two-phase inter-phase short-circuit fault;

[0036] if there are only three-phase overcurrents in the corresponding branch node, determining that the corresponding branch node has a three-phase inter-phase short-circuit fault.

[0037] Optionally, the first fault processing rule comprises:

[0038] if the fault node has a single-phase ground fault, performing a single-phase ground traveling wave protection operation on the fault node;

[0039] if the fault node has a two-phase short-circuit fault or a two-phase inter-phase short-circuit fault, performing an overcurrent protection and accelerated overcurrent protection operation and / or an overvoltage protection and accelerated overvoltage protection operation on the fault node;

[0040] if the fault node has a three-phase inter-phase short-circuit fault, performing a time-limit overcurrent protection operation on the fault node.

[0041] Optionally, the network parameters of the power distribution network comprise a network topology of the power distribution network, the second fault handling rule for each fault node is determined according to the network parameters of the power distribution network and the received first electrical quantity signals, comprising:

[0042] According to the received first electrical quantity signals, one or more of the loss of power load, the number of switch operations, the load balance, the voltage quality, the network loss and the operation cost of the power distribution network is taken as an objective function, the network topology, the node voltage and the branch current of the power distribution network are taken as constraint conditions, a fault handling model of the power distribution network is established, the fault handling model of the power distribution network is calculated based on a binary particle swarm algorithm, and a fault handling scheme including switch operations of each node in the power distribution network is outputted, the fault handling scheme is taken as the second fault handling rule.

[0043] The second aspect of the application provides an intelligent agent terminal arranged at a backbone node of a power distribution network, and the intelligent agent terminal applies the above-mentioned fault self-adaption and self-healing method, and the intelligent agent terminal comprises:

[0044] A data receiving module configured to receive first electrical quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, the fault signals being generated by the intelligent terminal corresponding to the branch node based on the first electrical quantity signals collected after determining that the corresponding branch node is a fault node;

[0045] A fault determination module configured to determine the number of current fault nodes according to the received fault signals;

[0046] A fault handling module configured to, if the number of current fault nodes is a single node, send a fault handling instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can perform a fault handling operation on the fault node according to the first fault handling rule corresponding to the fault node; and

[0047] If the number of current fault nodes is a plurality of nodes, a second fault handling rule for each fault node is determined according to the network parameters of the power distribution network and the received first electrical quantity signals, a fault handling operation is performed on each fault node according to the second fault handling rule, and a fault handling result is sent to a power distribution master station.

[0048] Optionally, the first electrical quantity signals comprise:

[0049] The positive sequence voltage and the positive sequence current of the corresponding branch node;

[0050] The corresponding branch node is determined to be a fault node based on the collected first electrical quantity signals, comprising:

[0051] determining a current power flow direction of the corresponding branch node according to positive sequence voltage and positive sequence current of the corresponding branch node, and matching the current power flow direction with a reference power flow direction of the corresponding branch node;

[0052] if the current power flow direction of the corresponding branch node is inconsistent with the reference power flow direction, determining that the corresponding branch node is a fault node.

[0053] Optionally, the first electrical quantity signal comprises:

[0054] three-phase current and voltage of the corresponding branch node;

[0055] determining that the corresponding branch node is a fault node based on the collected first electrical quantity signal, comprising:

[0056] if it is determined according to the three-phase current and voltage of the corresponding branch node that the corresponding branch node has any one of single-phase ground fault, two-phase short-circuit ground fault, two-phase inter-phase short-circuit fault and three-phase inter-phase short-circuit fault, determining that the corresponding branch node is a fault node.

[0057] Optionally, the network parameters of the power distribution network comprise a network topology structure of the power distribution network, and determining the second fault handling rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signal comprises:

[0058] establishing a fault handling model of the power distribution network according to the received first electrical quantity signal, taking one or more of power loss amount, switch operation number, load balance, voltage quality, network loss and operation cost of the power distribution network as an objective function, and taking the network topology structure, node voltage and branch current of the power distribution network as constraint conditions, calculating the fault handling model of the power distribution network based on a binary particle swarm algorithm, outputting a fault handling scheme comprising switch operation of each node in the power distribution network, and taking the fault handling scheme as the second fault handling rule.

[0059] The third aspect of the present application provides a fault adaptive and self-healing method applied to an intelligent terminal, comprising:

[0060] collecting a first electrical quantity signal of the corresponding branch node, generating a fault signal if it is determined that the corresponding branch node is a fault node based on the collected first electrical quantity signal, and sending the first electrical quantity signal and the fault signal to an intelligent agent terminal; and

[0061] in response to the fault handling instruction sent by the intelligent agent terminal, determining a first fault handling rule corresponding to the branch node according to the first electrical quantity signal, and performing fault handling operation on the branch node according to the first fault handling rule.

[0062] The fourth aspect of the present application provides a smart terminal arranged at a branch node of a power distribution network, and the smart terminal applies the fault self-adaptive and self-healing method.

[0063] The data acquisition module is configured to acquire a first electrical quantity signal of the corresponding branch node, generate a fault signal if it is determined that the corresponding branch node is a fault node based on the acquired first electrical quantity signal, and send the first electrical quantity signal and the fault signal to the smart agent terminal.

[0064] The fault processing module is configured to determine a first fault processing rule corresponding to the branch node according to the first electrical quantity signal in response to the fault processing instruction sent by the smart agent terminal, and perform a fault processing operation on the branch node according to the first fault processing rule.

[0065] The fifth aspect of the present application provides a power distribution network fault monitoring system, which comprises:

[0066] a power distribution master station;

[0067] at least one smart agent terminal as described above; and

[0068] a plurality of smart terminals as described above;

[0069] The at least one smart agent terminal is in communication connection with the power distribution master station, and each smart agent terminal is in communication connection with a plurality of smart terminals.

[0070] The sixth aspect of the present application provides a machine-readable storage medium, which stores instructions, and the instructions make the processor configured to perform the fault self-adaptive and self-healing method when executed by the processor.

[0071] The seventh aspect of the present application provides a terminal device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the fault self-adaptive and self-healing method when executing the computer program.

[0072] The present application determines the number of fault nodes in the monitoring area by monitoring the electrical quantity signals of different branch nodes in the monitoring area, and according to the number of fault nodes, the branch nodes or the trunk nodes can optionally perform different fault processing methods on the fault nodes to process the corresponding faults, thereby effectively improving the fault self-diagnosis and self-healing efficiency of the power distribution network.

[0073] Other features and advantages of the embodiments of the present application will be described in detail in the following specific implementation part. BRIEF DESCRIPTION OF DRAWINGS

[0074] The accompanying drawings are included to provide a further understanding of embodiments of the application, and are incorporated in and constitute a part of this specification, illustrate embodiments of the application, and together with the description serve to explain the principles of the application. In the drawings:

[0075] Figure 1 A method flow chart of a fault self-adaption and self-healing method provided for the preferred embodiments of the application;

[0076] Figure 2 A structure schematic diagram of a power distribution network fault monitoring system provided for the preferred embodiments of the application;

[0077] Figure 3 A logic schematic diagram of a power distribution network fault monitoring system provided for the preferred embodiments of the application;

[0078] Figure 4 A schematic block diagram of an intelligent agent terminal provided for the preferred embodiments of the application;

[0079] Figure 5 A hardware architecture schematic diagram of an intelligent agent terminal provided for the preferred embodiments of the application;

[0080] Figure 6 A software architecture schematic diagram of an intelligent agent terminal provided for the preferred embodiments of the application;

[0081] Figure 7 A method flow chart of another fault self-adaption and self-healing method provided for the preferred embodiments of the application;

[0082] Figure 8 A schematic block diagram of an intelligent terminal provided for the preferred embodiments of the application;

[0083] Figure 9 A software architecture schematic diagram of an intelligent terminal provided for the preferred embodiments of the application;

[0084] Figure 10 A terminal device schematic diagram provided for the preferred embodiments of the application.

[0085] BRIEF DESCRIPTION OF DRAWINGS

[0086] 10 - terminal device, 100 - processor, 101 - memory, 102 - computer program. DETAILED DESCRIPTION

[0087] To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings for the embodiments of the present application to make a clear and complete description of the technical solutions in the embodiments of the present application. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiments of the present application, and is not used to limit the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the scope of protection of the present application.

[0088] It should be noted that the technical solutions of the various embodiments of the present application can be combined with each other, but it must be based on the fact that a person of ordinary skill in the art can implement it. When the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist and is not within the scope of protection claimed by the present application.

[0089] With the advancement of the construction process of new power systems, the penetration rate of distributed resources such as distributed photovoltaic, distributed wind power, and flexible load is continuously increasing. The multi-element distribution network changes the form of the traditional distribution network, and the new distribution network faces many challenges, such as frequent faults, and the inability to guarantee power supply reliability. The feeder terminal is an important guarantee for realizing the power transmission and distribution system. At present, there are many types of feeder terminal devices, and the compatibility and scalability are poor. Moreover, the existing feeder terminal has poor real-time fault handling capability for transient faults, and it is difficult to realize self-diagnosis and self-healing of fault type, fault direction, and fault protection.

[0090] To solve the above problems, as shown in Figure 1 The first aspect of the present application provides a fault adaptive and self-healing method applied to an intelligent agent terminal. The intelligent agent terminal is arranged at a backbone node of a distribution network. The method comprises:

[0091] Receiving a first electrical quantity signal and a fault signal of different branch nodes in a monitoring area corresponding to the intelligent agent terminal. The fault signal is generated by the intelligent terminal corresponding to the branch node based on the first electrical quantity signal collected after determining that the corresponding branch node is a fault node.

[0092] Determining the number of current fault nodes according to the received fault signal;

[0093] If the number of current fault nodes is single, a fault handling instruction is sent to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute the fault handling operation on the fault node according to the first fault handling rule corresponding to the fault node.

[0094] If the number of current fault nodes is multiple, the second fault processing rule for each fault node is determined according to the network parameters of the power distribution network and the received first electrical quantity signal, the fault processing operation for each fault node is performed according to the second fault processing rule, and the fault processing result is sent to the power distribution master station.

[0095] In this way, the number of fault nodes in the monitoring area is determined by monitoring the electrical quantity signals of different branch nodes in the monitoring area, and different fault processing methods are selected for the fault nodes according to the number of fault nodes to perform corresponding fault processing, thereby effectively improving the fault self-diagnosis and self-healing efficiency of the power distribution network.

[0096] The existing power distribution network is usually divided into multiple areas for management and control, for example, the power grid is divided into several structural levels according to the voltage level of the power grid, and several power supply areas containing different structural levels are divided according to the power supply capacity. In each area, the corresponding power supply is arranged according to the power load, so that the power supply and demand in the area is roughly balanced. Usually, a region is composed of a section of bus and a plurality of branches connected to the bus, such as main branch, power supply branch, power distribution transformer branch, etc. In order to ensure the normal operation of the power distribution network, corresponding monitoring equipment needs to be deployed at each node in the region to monitor the electrical quantity signals of each node to determine whether the current node has a fault, and to perform corresponding fault processing when a fault exists, such as disconnecting the current node. However, the existing monitoring equipment usually independently performs signal acquisition, fault processing and other operations of the corresponding node, and the monitoring equipment cannot interact with each other. When there are multiple fault points in the region, it is difficult to quickly and efficiently determine the fault processing scheme, so it is difficult to effectively self-heal the faults in the region.

[0097] To solve the above problems, as Figure 2The power distribution network fault monitoring system of the present application is shown. For each region of the power distribution network, the present application sets an intelligent agent terminal on the bus section of the region, i.e. the backbone node of the region, to monitor the operation of each node in the region. The intelligent terminal deployed at each node is used to collect the first electrical quantity signal of the corresponding node, such as the state information of circuit breakers, transformers and other devices, the switching state information of each switching device, and the current and voltage information on the corresponding transmission line. For example, the first electrical quantity signal can be AB line voltage, BC line voltage, A-phase voltage, B-phase voltage, C-phase voltage, power side zero sequence voltage, load side zero sequence voltage, zero sequence voltage, negative sequence voltage, negative sequence current, battery voltage, and other telemetry signals, as well as switch-on, switch-off, device state and other telecommunication signals. The intelligent terminal determines whether there is a fault at the current node according to the collected signals. If it is determined that there is a fault, a fault signal is generated, and the intelligent terminal sends the collected first electrical quantity signal and fault signal to the intelligent agent terminal. After receiving the fault signal, the intelligent agent terminal determines the number of fault nodes in the current monitoring region according to the received fault signal. It can be understood that the fault signal at least includes the identification information of the corresponding intelligent terminal, so that the intelligent agent terminal can determine which nodes the fault signal comes from according to the identification information of the intelligent terminal, and further determine the number of fault nodes. The number of current fault nodes can be the number of fault nodes within a predetermined duration after the fault signal is determined to be received. For example, after receiving the fault signal for the first time, wait for a predetermined duration, and after the predetermined duration ends, calculate the number of fault nodes corresponding to the fault signal received in that time period.

[0098] The intelligent agent terminal determines a corresponding fault processing scheme according to the number of fault nodes. If the number of fault nodes is one, the intelligent agent terminal sends a fault processing instruction to the corresponding intelligent terminal. After receiving the fault processing instruction, the intelligent terminal determines a fault type based on the collected first electrical quantity signal and the edge computing technology, and calls a corresponding first fault processing rule to perform a fault processing operation, thereby realizing rapid detection and isolation of the fault. If the number of fault nodes is multiple, in order to improve the fault self-healing ability and efficiency of the entire monitoring area, the intelligent agent terminal generates a corresponding fault processing scheme by performing corresponding calculation according to the number of fault nodes and the corresponding fault category, realizes the cooperative protection of each intelligent terminal, perfects the fault adaptive ability of the power distribution network, and improves the overall power supply level. It can be understood that the intelligent agent terminal can call a pre-trained neural network model to output a corresponding fault processing scheme based on the received first electrical quantity signal, fault category and fault node. The training method of the neural network model is prior art, which is not limited here. At the same time, the intelligent agent terminal sends the fault processing scheme, execution result and other information to the cloud side power distribution master station for storage and display. The power distribution master station can send relevant instructions to each intelligent agent terminal to realize the adjustment and control of the intelligent terminal in the monitoring area of the intelligent agent terminal.

[0099] The application adopts a three-layer structure of cloud, edge and end, that is, a first layer of end side intelligent terminal, that is, feeder terminal, a second layer of edge side intelligent agent terminal and a third layer of cloud side power distribution master station. The intelligent agent terminal determines a fault execution scheme according to the number of fault nodes in the monitoring area, thereby effectively improving the fault processing efficiency and self-healing ability of the power distribution network.

[0100] In order to further improve the accuracy of fault monitoring, in the application, after receiving the fault signal, the intelligent agent terminal further judges whether the fault comes from the corresponding monitoring area or the corresponding monitoring area outside. The method further comprises: acquiring a second electrical quantity signal of the intelligent agent terminal; if it is determined that the backbone node is faulty according to the second electrical quantity signal, controlling the backbone node to be powered off or enter an island operation state.

[0101] It can be understood that the backbone node is arranged on a bus of the corresponding monitoring area, and the branch node is arranged on a branch connected with the bus. The second electrical quantity signal includes: voltage, inflow current and outflow current of the backbone node; for example, Figure 3As shown, determining the backbone node fault according to the second electrical quantity signal includes: if it is determined that the inflow current of the backbone node is a fault current, the outflow current of the backbone node is a normal current, and the voltage of the backbone node is lower than the backbone node voltage threshold, determining that the backbone node is faulty. For example, if the intelligent agent terminal determines that the inflow current of the branch connected with the backbone node is a fault current, such as too large or too small, and the outflow current of the branch is a normal current, it indicates that there is a fault in the monitoring area of the intelligent agent terminal. If it is further determined by the intelligent agent terminal that the voltage of the backbone node, such as the corresponding bus, is lower than the voltage threshold, it indicates that the backbone node is faulty. At this time, the intelligent agent terminal controls the backbone node to be powered off or enter an island operation state, and at the same time, the current intelligent agent terminal sends a state signal representing the backbone node fault to the adjacent intelligent agent terminal. If the outflow current of the branch is also a fault current, it indicates that there is a fault outside the monitoring area of the intelligent agent terminal, i.e., there is a fault outside the backbone node. The node external fault judgment logic is entered, and the current intelligent agent terminal communicates with the adjacent intelligent agent terminal, such as sending external fault information to the adjacent intelligent agent terminal, to notify each adjacent intelligent agent terminal to perform fault detection, processing, and control the corresponding switch to act.

[0102] If it is determined that the fault is in the monitoring area of the intelligent agent terminal, the monitoring area fault processing logic is entered. If there is only a single fault node in the monitoring area, in one specific example, the first electrical quantity signal includes: the positive sequence voltage and the positive sequence current of the corresponding branch node; determining that the corresponding branch node is a fault node based on the collected first electrical quantity signal includes: determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with the reference power flow direction of the corresponding branch node; if the current power flow direction of the corresponding branch node is inconsistent with the reference power flow direction, determining that the corresponding branch node is a fault node. It can be understood that the reference power flow direction is the power flow direction of the branch node when the power distribution network is normally operated. If the current power flow direction calculated based on the collected positive sequence voltage and positive sequence current is inconsistent with the reference power flow direction, it indicates that the power flow direction has changed abruptly, i.e., the node has a fault.

[0103] Wherein, determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node includes: if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is greater than 0, determining that the power flow direction of the corresponding branch node is the power flow positive direction, if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is less than 0, determining that the power flow direction of the corresponding branch node is the power flow reverse direction.

[0104] For the sudden change of the power flow direction fault, the intelligent terminal calls the preset first fault handling rule to execute the corresponding fault handling operation, wherein the first fault handling rule includes: if the current power flow direction of the fault node is the positive direction of the power flow, switching the relay protection setting value area of the fault node to the first relay protection setting value area; if the current power flow direction of the fault node is the reverse direction of the power flow, switching the relay protection setting value area of the fault node to the second relay protection setting value area. It can be understood that a configuration table including different fault categories and corresponding fault handling schemes can be constructed in advance, and the configuration table can be stored in the intelligent terminal in advance. When executing the fault handling, the intelligent terminal can directly call the configuration table.

[0105] In another specific example, the first electrical quantity signal includes: three-phase current and voltage of the corresponding branch node; determining that the corresponding branch node is a fault node based on the collected first electrical quantity signal includes: if it is determined according to the three-phase current and voltage of the corresponding branch node that the corresponding branch node has any one of single-phase ground fault, two-phase short circuit ground fault, two-phase interphase short circuit fault and three-phase interphase short circuit fault, it is determined that the corresponding branch node is a fault node.

[0106] If there is no overcurrent in the corresponding branch node, but there is zero sequence voltage, it is determined that the corresponding branch node has single-phase ground fault; if there are two-phase overcurrent in the corresponding branch node, and there is zero sequence voltage, it is determined that the corresponding branch node has two-phase short circuit ground fault; if there is only two-phase overcurrent in the corresponding branch node, it is determined that the corresponding branch node has two-phase interphase short circuit fault; if there is only three-phase overcurrent in the corresponding branch node, it is determined that the corresponding branch node has three-phase interphase short circuit fault. If the fault is determined to be two-phase short circuit fault or two-phase interphase short circuit fault, the intelligent terminal can further determine the direction type of the fault according to the corresponding electrical quantity value, such as the product of the number of negative sequence voltage and current, if the product is greater than 0, it is determined to be a reverse fault, otherwise it is a positive fault, thereby realizing adaptive judgment of the fault direction.

[0107] If the fault node has single-phase ground fault, the intelligent terminal executes single-phase ground traveling wave protection operation on the fault node; if the fault node has two-phase short circuit fault or two-phase interphase short circuit fault, if the fault direction is a reverse fault, the intelligent terminal executes low voltage protection on the fault node, if the fault direction is a positive fault, the intelligent terminal executes overcurrent protection and accelerated overcurrent protection operation, and / or overvoltage protection and accelerated overvoltage protection operation on the fault node; if the fault node has three-phase interphase short circuit fault, the intelligent terminal executes time limit overcurrent protection operation on the fault node.

[0108] If there are multiple fault nodes in the monitoring area, the intelligent agent terminal needs to generate a corresponding network deployment and reconstruction scheme according to the first electrical quantity signal, the fault category and the position of the fault node in the power distribution network, etc. of each fault node to perform fault handling on each fault node. The network parameters of the power distribution network at least include the network topology structure of the power distribution network. The second fault handling rule for each fault node is determined according to the network parameters of the power distribution network and the received first electrical quantity signal, including: according to the received first electrical quantity signal, taking one or more of the power loss of the power distribution network, the number of switch operations, load balancing, voltage quality, network loss and operating cost as the objective function, taking the network topology structure of the power distribution network, node voltage and branch current as the constraint condition, establishing a fault handling model of the power distribution network, calculating the fault handling model of the power distribution network based on the binary particle swarm optimization algorithm (MA-PSO algorithm), and outputting the fault handling scheme including the switch operation of each node in the power distribution network. The fault handling scheme is used as the second fault handling rule to realize the fault self-healing in the monitoring area of the intelligent agent terminal. In the process of establishing the fault handling model of the power distribution network, the corresponding objective function and constraint condition can be determined according to the specific situation of the power distribution network, which is not limited here. It can be understood that the MA-PSO algorithm is a prior art, and the calculation process is not described here.

[0109] As shown in Figure 4 The second aspect of the present application provides an intelligent agent terminal arranged at the backbone node of the power distribution network, which applies the above-mentioned fault self-adaption and self-healing method. The intelligent agent terminal comprises:

[0110] A data receiving module configured to receive the first electrical quantity signal and the fault signal of different branch nodes in the monitoring area corresponding to the intelligent agent terminal. The fault signal is generated by the intelligent terminal corresponding to the branch node based on the first electrical quantity signal collected after determining that the corresponding branch node is a fault node.

[0111] A fault determination module configured to determine the number of current fault nodes according to the received fault signal.

[0112] A fault handling module configured to, if the number of current fault nodes is one, send a fault handling instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can perform fault handling operation on the fault node according to the first fault handling rule corresponding to the fault node; and

[0113] If the number of current fault nodes is multiple, the second fault handling rule for each fault node is determined according to the network parameters of the power distribution network and the received first electrical quantity signal. The fault handling operation is performed on each fault node according to the second fault handling rule, and the fault handling result is sent to the power distribution master station.

[0114] Optionally, the first electrical quantity signal comprises:

[0115] positive sequence voltage and positive sequence current of the corresponding branch node;

[0116] determining, based on the collected first electrical quantity signal, that the corresponding branch node is a fault node, comprising:

[0117] determining, according to the positive sequence voltage and the positive sequence current of the corresponding branch node, a current power flow direction of the corresponding branch node, and matching the current power flow direction with a reference power flow direction of the corresponding branch node;

[0118] if the current power flow direction of the corresponding branch node is inconsistent with the reference power flow direction, determining that the corresponding branch node is a fault node.

[0119] Optionally, the first electrical quantity signal comprises:

[0120] three-phase current and voltage of the corresponding branch node;

[0121] determining, based on the collected first electrical quantity signal, that the corresponding branch node is a fault node, comprising:

[0122] if it is determined, according to the three-phase current and voltage of the corresponding branch node, that the corresponding branch node has any one of a single-phase ground fault, a two-phase short-circuit ground fault, a two-phase inter-phase short-circuit fault and a three-phase inter-phase short-circuit fault, determining that the corresponding branch node is a fault node.

[0123] Optionally, the network parameters of the power distribution network comprise a network topology structure of the power distribution network, and determining, according to the network parameters of the power distribution network and the received first electrical quantity signal, the second fault handling rule for each fault node, comprises:

[0124] establishing, according to the received first electrical quantity signal, a fault handling model of the power distribution network, taking one or more of a loss load amount, a switch operation number, a load balance, a voltage quality, a network loss and an operation cost of the power distribution network as an objective function, and taking a network topology structure, a node voltage and a branch current of the power distribution network as constraint conditions, calculating the fault handling model of the power distribution network based on a binary particle swarm algorithm, and outputting a fault handling scheme comprising switch operations of each node in the power distribution network, and taking the fault handling scheme as the second fault handling rule.

[0125] It can be understood that, for the convenience and brevity of description, only the above-mentioned division of each functional unit and module is exemplified, and in actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of software functional unit. In addition, the specific name of each functional unit and module is only for convenient distinction, and does not limit the protection scope of the present application. The specific working process of the unit and module in the system can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

[0126] As shown in Figure 5 The intelligent agent terminal of the present application adopts the object-oriented information model of IEC 61850 standard and the Internet of Things communication protocol of DDS, mainly realizes information collection / storage and transmission, instruction issuing and real-time control of switches, power transmission lines, transformers and the like monitored thereby, and transmits the determination results and action schemes to the cloud-side distribution management station.

[0127] In one specific example, the intelligent agent terminal of the present application is composed of a main control chip, an AI chip, a communication module, a battery management module, a data storage module, a camera module, a safety control module and an operation panel module.

[0128] The battery management module is composed of a power conversion chip and a control circuit. The input power is converted into voltage levels required by each module by DC / DC, and is supplied to the AI chip, data storage module, safety control module, and operation panel module. At the same time, a backup power supply is included to prevent the main power supply from losing power, allowing the device to operate normally for a certain period of time. The AI chip interacts with the main control chip for data and performs inference and calculation of artificial intelligence algorithm models, and can identify foreign matter in wiring. The main control chip is mainly composed of a CPU processing module, an interface module, and a bus module. The CPU is composed of a main control CPU and a measurement and control CPU. The main control CPU mainly realizes communication, protocol analysis, liquid crystal display, control output, and configuration of peripherals such as clock, timer, watchdog, etc. The measurement and control CPU mainly realizes signal acquisition such as remote signaling, AC voltage / current signal, power, switch state protection logic, and outlet action. The interface module has multiple interface types such as Ethernet interface, serial communication interface, USB interface, and maintenance serial communication interface. The interfaces are connected through a USB interface switching module with a plug-in structure to realize interface conversion and increase compatibility and interoperability between interfaces. The bus module includes data bus, address bus, and CAN bus. The communication module includes a remote communication module and a local communication module. The remote communication module uses 4G, 5G, and optical fiber communication methods to communicate with the power distribution master station. The local communication module uses RS485, RS232, power line carrier, and micro-power wireless communication methods to communicate with adjacent intelligent terminal devices. The data storage module includes flash memory and random access memory to store real-time data and historical data. The safety control module encrypts and decrypts collected data and communication protocols. The operation panel realizes liquid crystal display, indicator light, and button. The camera module combined with the IA chip can intelligently identify foreign matter in the power distribution line and transmit real-time images to the monitoring background of the master station.

[0129] As Figure 6As shown, the adaptive software architecture of the intelligent agent terminal device of the present application is based on the above basic platform and the software of the operating system, resource virtualization module, communication acquisition module, management service module, data bus module, and information security module, and further includes a self-healing module and a fault adaptive module. The basic platform module includes hardware and software communication interfaces and drivers, a basic operating system, an AI engine, storage, computing, and access interfaces, and other systems and modules. The resource virtualization module mainly consists of management containers that allocate hardware resources and access message interfaces and hardware interfaces for the containers. The communication acquisition module interacts with the hardware interface and is responsible for data reading, writing, and forwarding. The management service module provides support for data, messages, and management, standardizes the operation of the fault adaptive module, and improves efficiency. The information security module mainly implements the security of data during acquisition, transmission, access, and communication. The self-healing module is used to realize fault self-healing in the region, and the self-healing module includes a knowledge and rule setting module and a decision analysis module. The knowledge and rule setting module stores protection action logic rules and setting values. The decision analysis module makes decision judgments in combination with its own database, knowledge rule base, and intelligent algorithms, and issues execution instructions to the terminal device through control output to control the action of each circuit breaker.

[0130] As shown in Figure 7 The third aspect of the present application provides a fault adaptive and self-healing method applied to an intelligent terminal. The method includes:

[0131] acquiring a first electrical quantity signal corresponding to the branch node, determining that the branch node is a fault node based on the acquired first electrical quantity signal, generating a fault signal, and sending the first electrical quantity signal and the fault signal to the intelligent agent terminal; and

[0132] in response to the fault handling instruction sent by the intelligent agent terminal, determining a first fault handling rule corresponding to the branch node according to the first electrical quantity signal, and executing a fault handling operation on the branch node according to the first fault handling rule.

[0133] As shown in Figure 8 The fourth aspect of the present application provides an intelligent terminal arranged at a branch node of a power distribution network and applying the above fault adaptive and self-healing method. The intelligent terminal includes:

[0134] a data acquisition module configured to acquire a first electrical quantity signal corresponding to the branch node, determine that the branch node is a fault node based on the acquired first electrical quantity signal, generate a fault signal, and send the first electrical quantity signal and the fault signal to the intelligent agent terminal;

[0135] The fault processing module is configured to determine, in response to the fault processing instruction sent by the intelligent agent terminal, a first fault processing rule corresponding to the branch node according to the first electrical quantity signal, and perform a fault processing operation on the branch node according to the first fault processing rule.

[0136] The hardware architecture of the intelligent terminal is consistent with that of the intelligent agent terminal, and thus is not described herein. As shown in FIG. 2, the software architecture of the intelligent terminal includes a basic platform and an operating system, a resource virtualization module, a communication acquisition module, a management service module, a data bus module, an information security module, and a fault self-adaptation module. Figure 9 The fault self-adaptation module includes at least a power flow direction self-adaptation unit, a fault type self-adaptation unit, a fault direction self-adaptation unit, and a protection type self-adaptation unit, and is configured to realize self-adaptation in a fault condition.

[0137] The fifth aspect of the present application provides a power distribution network fault monitoring system, which includes:

[0138] a power distribution master station;

[0139] at least one intelligent agent terminal as described above; and

[0140] a plurality of intelligent terminals as described above;

[0141] The at least one intelligent agent terminal is in communication connection with the power distribution master station, and each intelligent agent terminal is in communication connection with the plurality of intelligent terminals.

[0142] The sixth aspect of the present application provides a machine-readable storage medium, which stores instructions. When the instructions are executed by a processor, the processor is configured to perform the fault self-adaptation and self-recovery method described above.

[0143] The machine-readable storage medium includes permanent and non-permanent, removable and non-removable media, and can store information by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device. According to the definition herein, computer-readable media does not include transitory computer-readable media, such as modulated data signals and carriers.

[0144] The seventh aspect of the present application provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the fault self-adaption and self-recovery method as described above when executing the computer program.

[0145] As shown in Figure 10 is a schematic diagram of a terminal device provided by an embodiment of the present application. As shown in Figure 10 The terminal device 10 of this embodiment comprises a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. The processor 100 implements the steps in the method embodiments described above when executing the computer program 102. Alternatively, the processor 100 implements the functions of the modules / units in the device embodiments described above when executing the computer program 102.

[0146] For example, the computer program 102 can be divided into one or more modules / units, which are stored in the memory 101 and executed by the processor 100 to complete the present application. One or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program 102 in the terminal device 10.

[0147] The terminal device 10 can be a desktop computer, a notebook computer, a palm computer, a cloud server, and other computing devices. The terminal device 10 can include, but is not limited to, the processor 100 and the memory 101. Those skilled in the art can understand that Figure 10 The terminal device 10 is only an example and does not constitute a limitation on the terminal device 10, which can include more or fewer components than those shown, or combine certain components, or different components, for example, the terminal device can also include an input / output device, a network access device, a bus, etc.

[0148] The processor 100 can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0149] The storage 101 can be an internal storage unit of the terminal device 10, for example, a hard disk or a memory of the terminal device 10. The storage 101 can also be an external storage device of the terminal device 10, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the terminal device 10. Further, the storage 101 can also include both the internal storage unit and the external storage device of the terminal device 10. The storage 101 is used to store computer programs and other programs and data required by the terminal device 10. The storage 101 can also be used to temporarily store data that has been output or will be output.

[0150] Those skilled in the art will appreciate that embodiments of the present application can be realized in association with methods, apparatus, or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer-readable program code.

[0151] It should also be noted that the terms "comprising", "containing", or any other similar term are intended to encompass non-exclusive inclusions, such that a process, method, article, or apparatus that comprises a list of elements does not necessarily include only those elements in the list, but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without more limitations, an element defined by the phrase "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0152] The above merely provides embodiments of the present application and is not intended to limit the present application. The present application can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A fault adaptive and self-healing method, applied to an intelligent agent terminal, wherein the intelligent agent terminal is installed at the main node of a power distribution network, characterized in that, The method comprises: receiving first electrical quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, the fault signals being generated by the intelligent terminal corresponding to the branch node based on the first electrical quantity signals collected after determining that the corresponding branch node is a fault node; determining the number of current fault nodes according to the received fault signals; if the number of current fault nodes is single, sending a fault handling instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute fault handling operation on the fault node according to the first fault handling rule corresponding to the fault node; if the number of current fault nodes is multiple, determining a second fault handling rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signals, executing fault handling operation on each fault node according to the second fault handling rule, and sending the fault handling result to the power distribution master station; the first fault handling rule comprises: if the fault node has single-phase ground fault, executing single-phase ground traveling wave protection operation on the fault node; if the fault node has two-phase short circuit fault or two-phase interphase short circuit fault, executing overcurrent protection and accelerated overcurrent protection operation, and / or overvoltage protection and accelerated overvoltage protection operation on the fault node; if the fault node has three-phase interphase short circuit fault, executing time limit overcurrent protection operation on the fault node; the network parameters of the power distribution network include the network topology structure of the power distribution network, and determining a second fault handling rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signals comprises: according to the received first electrical quantity signals, taking one or more of the loss of power load, the number of switch operations, the load balance, the voltage quality, the network loss and the operation cost of the power distribution network as the objective function, taking the network topology structure, node voltage and branch current of the power distribution network as the constraint condition, establishing a fault handling model of the power distribution network, calculating the fault handling model of the power distribution network based on binary particle swarm optimization algorithm, and outputting a fault handling scheme including switch operation of each node in the power distribution network, taking the fault handling scheme as the second fault handling rule.

2. The fault self-adaptation and self-healing method according to claim 1, characterized in that, After receiving the fault signals, the method further comprises: obtaining second electrical quantity signals of the intelligent agent terminal; if the backbone node is determined to be faulty according to the second electrical quantity signals, controlling the backbone node to be powered off or enter an island operation state.

3. The fault adaptive and self-healing method of claim 2, wherein, The backbone node is arranged on a bus bar in the corresponding monitoring area, and the branch node is arranged on a branch connected to the bus bar, and the second electrical quantity signals comprise: voltage, inflow current and outflow current of the backbone node; determining the fault of the backbone node according to the second electrical quantity signals comprises: if the inflow current of the backbone node is determined to be a fault current, the outflow current of the backbone node is determined to be a normal current, and the voltage of the backbone node is lower than the voltage threshold of the backbone node, the fault of the backbone node is determined.

4. The fault self-adaptation and self-healing method according to claim 3, characterized in that, After determining the fault of the backbone node, the method further comprises: sending a status signal indicative of the backbone node failure to a neighboring intelligent agent terminal.

5. The method for fault adaptation and self-healing according to claim 1, wherein, The first electrical quantity signal includes: positive sequence voltage and positive sequence current of the corresponding branch node; determining, based on the collected first electrical quantity signal, that the corresponding branch node is a fault node, including: determining, based on the positive sequence voltage and the positive sequence current of the corresponding branch node, a current power flow direction of the corresponding branch node, and matching the current power flow direction with a reference power flow direction of the corresponding branch node; if the current power flow direction of the corresponding branch node is inconsistent with the reference power flow direction, determining that the corresponding branch node is a fault node.

6. The fault adaptive and self-healing method of claim 5, wherein, determining, based on the positive sequence voltage and the positive sequence current of the corresponding branch node, a current power flow direction of the corresponding branch node, including: if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is greater than 0, determining that the power flow direction of the corresponding branch node is a positive power flow direction, and if the phase difference between the positive sequence voltage and the positive sequence current of the corresponding branch node is less than 0, determining that the power flow direction of the corresponding branch node is a negative power flow direction.

7. The fault adaptive and self-healing method of claim 6, wherein, The first fault processing rule includes: if the current power flow direction of the fault node is a positive power flow direction, switching the relay protection setting value area of the fault node to a first relay protection setting value area; if the current power flow direction of the fault node is a negative power flow direction, switching the relay protection setting value area of the fault node to a second relay protection setting value area.

8. The method for fault adaptation and self-healing according to claim 1, wherein, The first electrical quantity signal includes: three-phase current and voltage of the corresponding branch node; determining, based on the collected first electrical quantity signal, that the corresponding branch node is a fault node, including: if it is determined, based on the three-phase current and voltage of the corresponding branch node, that the corresponding branch node has any one of a single-phase ground fault, a two-phase short-circuit ground fault, a two-phase inter-phase short-circuit fault, and a three-phase inter-phase short-circuit fault, determining that the corresponding branch node is a fault node.

9. The method of claim 8, wherein, determining, based on the three-phase current and voltage of the corresponding branch node, that the corresponding branch node has any one of a single-phase ground fault, a two-phase short-circuit ground fault, a two-phase inter-phase short-circuit fault, and a three-phase inter-phase short-circuit fault, including: if there is no overcurrent in the corresponding branch node, but there is a zero sequence voltage, determining that the corresponding branch node has a single-phase ground fault; if there are two-phase overcurrents in the corresponding branch node, and there is a zero sequence voltage, determining that the corresponding branch node has a two-phase short-circuit ground fault; if there are only two-phase overcurrents in the corresponding branch node, determining that the corresponding branch node has a two-phase inter-phase short-circuit fault; if there are only three-phase overcurrents in the corresponding branch node, determining that the corresponding branch node has a three-phase inter-phase short-circuit fault.

10. A smart agent terminal, which is arranged at a backbone node of a power distribution network, applies the fault self-adaption and self-recovery method according to any one of claims 1-9, characterized in that, The intelligent agent terminal includes: a data receiving module configured to receive first electrical quantity signals and fault signals of different branch nodes in a monitoring area corresponding to the intelligent agent terminal, the fault signals being generated by an intelligent terminal corresponding to a branch node based on a determination that the corresponding branch node is a fault node based on collected first electrical quantity signals; a fault determination module configured to determine the number of current fault nodes based on the received fault signals; a fault processing module configured to, if the number of current fault nodes is single, send a fault processing instruction to the intelligent terminal corresponding to the fault node, so that the corresponding intelligent terminal can execute a fault processing operation on the fault node according to a first fault processing rule corresponding to the fault node; and if the number of current fault nodes is multiple, determine a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signal, execute a fault processing operation on each fault node according to the second fault processing rule, and send a fault processing result to the power distribution master station.

11. The intelligent agent terminal of claim 10, wherein, The first electrical quantity signal includes: positive sequence voltage and positive sequence current of the corresponding branch node; determining that the corresponding branch node is a fault node based on the collected first electrical quantity signal includes: determining the current power flow direction of the corresponding branch node according to the positive sequence voltage and the positive sequence current of the corresponding branch node, and matching the current power flow direction with a reference power flow direction of the corresponding branch node; if the current power flow direction of the corresponding branch node is inconsistent with the reference power flow direction, determining that the corresponding branch node is a fault node.

12. The intelligent agent terminal of claim 10, wherein, The first electrical quantity signal includes: three-phase current and voltage of the corresponding branch node; determining that the corresponding branch node is a fault node based on the collected first electrical quantity signal includes: if it is determined according to the three-phase current and voltage of the corresponding branch node that the corresponding branch node has any one of single-phase ground fault, two-phase short-circuit ground fault, two-phase inter-phase short-circuit fault and three-phase inter-phase short-circuit fault, determining that the corresponding branch node is a fault node.

13. The intelligent agent terminal of claim 10, wherein, The network parameters of the power distribution network include a network topology structure of the power distribution network, and determining a second fault processing rule for each fault node according to the network parameters of the power distribution network and the received first electrical quantity signal includes: establishing a fault processing model of the power distribution network by taking one or more of the loss of power load, the number of switch operations, the load balance, the voltage quality, the network loss and the operation cost of the power distribution network as an objective function, and taking the network topology structure, the node voltage and the branch current of the power distribution network as constraint conditions, calculating the fault processing model of the power distribution network based on a binary particle swarm algorithm, and outputting a fault processing scheme including switch operations of each node in the power distribution network as the second fault processing rule.

14. A power distribution network fault monitoring system characterized by, comprise: a power distribution master station; at least one intelligent agent terminal as claimed in claim 10; and a plurality of intelligent terminals arranged at branch nodes of a power distribution network; the at least one intelligent agent terminal is in communication connection with the power distribution master station, and each intelligent agent terminal is in communication connection with a plurality of intelligent terminals.

15. A machine-readable storage medium having instructions stored thereon, the instructions comprising: The instruction, when executed by the processor, causes the processor to be configured to execute the fault adaptive and self-healing method of any one of claims 1-9.

16. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the steps of the fault adaptive and self-healing method of any one of claims 1-9.

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