Power distribution network fault self-healing device and self-healing method

Abstract

The invention discloses a power distribution network fault self-healing device and a self-healing method. The device comprises node equipment and an operation management platform, the operation management platform is used for analyzing operation parameters of the node equipment, positioning a fault area and sending a control instruction for power-off isolation and power supply recovery; the node equipment comprises power supply equipment, sensing equipment, a node control switch and electric energy quality treatment equipment; the sensing equipment is used for monitoring and collecting operation parameters of the node equipment; the node control switch is disconnected and isolates a fault area when detecting that an operation parameter exceeds a threshold value or the integrated fault detection model identifies an abnormal mode or receives a control instruction of the operation management platform, and is connected and recovers power supply of a non-fault area when receiving a power supply recovery control instruction of the operation management platform so as to realize fault self-recovery; the electric energy quality control equipment is used for reducing voltage fluctuation in the process of recovering power supply of a non-fault area and avoiding misoperation of a node control switch. The device is simple in structure and self-healing process, and quick response to faults is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network protection, and more specifically, relates to a distribution network fault self-healing device and a self-healing method. Background Art

[0002] The distribution network refers to the power grid that receives electric energy from the transmission network or regional power plants and distributes it locally or step by step according to voltage to various users through distribution facilities. It consists of overhead lines, cables, towers, distribution transformers, disconnectors, reactive power compensators and some ancillary facilities. It has a radial structure and generally adopts closed-loop design and open-loop operation.

[0003] When the current distribution network encounters a short circuit caused by external reasons, although this situation does not affect the normal use of the distribution network, due to the protection mechanism of the circuit, it is usually powered off for protection. However, it needs to be turned on manually again, which is time-consuming and laborious.

[0004] With the development of science and technology, the fault self-healing function of distribution network has been paid more and more attention. The self-healing function refers to the continuous online diagnosis and evaluation of the operation status of the power grid by using advanced monitoring means without or with only a small amount of human intervention, timely discovery and rapid adjustment, and elimination of potential faults; when a fault occurs, it can quickly isolate the fault and self-recover, without affecting the normal power supply of users or minimizing the impact of the fault.

[0005] Therefore, there is an urgent need for a distribution network fault self-healing device and a self-healing method to realize the fault self-healing function of the distribution network.

[0006] The prior art CN104167819A, CN111786364B, and CN112821560B all disclose self-healing methods for distribution networks, which can realize the self-healing function of distribution network faults. The shortcomings of the prior art are: the distribution network has many node devices and the branch connection relationship is relatively complex, resulting in insufficient accuracy of fault location; and because the existing self-healing process is relatively complex, it is necessary to consider multiple factors, such as fault type and network topology, which will also limit the ability of fault recovery. Summary of the invention

[0007] In order to solve the deficiencies in the prior art, the present invention provides a distribution network fault self-healing device and a self-healing method, which can effectively improve the fault handling capability and power supply possibility of the distribution network through a simple structure, so as to realize the fault self-healing function of the distribution network.

[0008] The present invention adopts the following technical solution.

[0009] A first aspect of the present invention provides a distribution network fault self-healing device, comprising: a node device and an operation management platform;

[0010] The operation management platform is used to analyze the operating parameters of the node equipment to locate the fault area, send control instructions to power off and isolate the node equipment in the fault area, and send control instructions to restore power to the node equipment outside the fault area;

[0011] Node equipment includes: power supply equipment, sensor equipment, node control switch and power quality management equipment;

[0012] The sensor device is installed on the power supply device and the node control switch to monitor and collect the operating parameters of the node device and send the operating parameters to the operation management platform and the node control switch;

[0013] A fault detection model is integrated in the node control switch, and the fault detection model is trained offline through an intelligent algorithm to identify normal and abnormal modes; the node control switch is disconnected to isolate the fault area when it detects that the operating parameters exceed the threshold set by the protection or the fault detection model identifies an abnormal mode or receives a power-off isolation control instruction from the operation management platform; the node control switch on the distributed power supply side simultaneously executes an anti-islanding operation control strategy to ensure that the distributed power supply is completely disconnected from the grid; the node control switch is closed when it receives a power restoration control instruction from the operation management platform, and the power supply to the non-fault area is restored to achieve self-healing of the fault;

[0014] The power quality management equipment is installed at the output end of the power supply equipment, or connected to the node control switch to reduce voltage fluctuations during the process of restoring power supply to non-fault areas and avoid malfunction of the node control switch.

[0015] Preferably, the device further comprises: an operation and inspection module, configured to perform operation inspection on the power distribution network;

[0016] The operation and inspection module includes a distribution station inspection robot, a distribution line inspection robot, an environmental monitoring terminal, a distribution equipment status monitoring module and a distribution mobile operation robot.

[0017] Preferably, the device further comprises: a distribution network business and business type management module;

[0018] The distribution network business and business management module includes at least one of the following modules: a DC distribution network module, a charging and battery replacement module, an electric energy substitution module, a comprehensive energy module, a demand side response module, and a virtual power plant module;

[0019] Among them, the DC distribution network module includes a DC switch and an electric energy router; the electric energy replacement module includes a coal-to-electricity unit and a port shore power unit.

[0020] Preferably, the device further comprises: an information communication module;

[0021] The information communication module includes at least one of the following modules: a digital platform, a data model and protocol module, a communication network module, and a network and information security module;

[0022] Among them, the digital platform includes an Internet of Things management platform, a technical middle platform and a data middle platform; the technical middle platform includes an artificial intelligence module, a blockchain module and a mobile Internet module; the communication network module includes a remote communication unit and a local communication unit; the remote communication unit includes a wireless public network subunit, a wireless private network subunit, a fiber optic communication subunit, a satellite communication subunit and a Central Asian power line carrier subunit; the local communication unit includes a low-voltage power line carrier subunit, a micro-power wireless communication subunit and a field bus subunit.

[0023] Preferably, the operation management platform includes a distribution automation operation control system and a distribution Internet of Things operation control system; wherein the distribution automation operation control system includes a distribution network operation monitoring module and a distribution network operation status control module; the distribution Internet of Things operation control system includes a distribution Internet of Things cloud master station application and a power grid resource business middle station;

[0024] The distribution automation operation control system is used to communicate with node devices in the distribution network and collect power grid operation data;

[0025] The power distribution Internet of Things operation management and control system is used to control and manage the Internet of Things devices in the power distribution network.

[0026] Preferably, the power supply equipment includes: a primary and secondary fusion device;

[0027] The primary and secondary fusion equipment includes a primary and secondary fusion pole switch and a primary and secondary fusion ring network cabinet; the primary and secondary fusion pole switch and the primary and secondary fusion ring network cabinet both include primary equipment and secondary control equipment.

[0028] Preferably, the power supply equipment comprises: a power distribution terminal;

[0029] The power distribution terminal includes a feeder terminal, a station terminal, an intelligent fusion terminal, a fault indicator and a distribution network synchronous phasor measurement device;

[0030] The feeder terminal is installed on the pole and switch cabinet of the distribution network feeder loop; the station terminal is installed in the switch station, distribution room, ring network cabinet and box-type substation of the distribution network feeder loop;

[0031] The feeder terminal and the station terminal are both used to send equipment status information to the control center, remotely collect and transmit various operating parameters of the distribution network, receive control instructions from the control center, and perform corresponding operations and feeder automation processing according to the control instructions; the feeder automation processing includes fault detection, fault isolation, network reconstruction and load balancing.

[0032] Preferably, the fault indicator is installed on a power distribution line, and is used to detect a line short circuit fault and a single-phase grounding fault, and to issue a first alarm message based on the line short circuit fault and a second alarm message based on the single-phase grounding fault.

[0033] Preferably, the distribution network synchronous phasor measurement device is installed in a high voltage or ultra-high voltage transmission network, and is used to measure the voltage amplitude, current amplitude and phase angle in the power system.

[0034] A second aspect of the present invention provides a distribution network fault self-healing method, which implements distribution network fault self-healing based on the distribution network fault self-healing device, comprising the following steps:

[0035] Step 1: Receive real-time data of each node device, including voltage, power and frequency, and analyze the received data based on the data unit built into the operation management platform to evaluate the operating status of each node device;

[0036] Step 2: When the real-time data of a node device received in step 1 exceeds the preset normal range, the fault detection program based on the operation management platform uses an intelligent algorithm to analyze the fault characteristics and locate the fault area;

[0037] Step 3: Based on the node control switch's own logic or the control instruction issued by the operation management platform, the node control switch is used to cut off the connection between the fault area located in step 2 and the power grid;

[0038] Step 4: Evaluate the overall status of the power grid based on the operation management platform, and further calculate the total power required in the non-fault area during the power supply guarantee period based on the short-term predicted power of the load in the non-fault area under the operation management platform, and determine the power supply demand in the non-fault area; adjust the power supply parameters in the non-fault area according to the operation strategy and optimization algorithm of the power grid; supplement the power supply by controlling other normally operating node devices, restore the power supply in the non-fault area, and realize self-healing of the fault.

[0039] Preferably, the distribution network fault self-healing method further comprises: performing fault detection and alarm based on a node control switch and a fault indicator, wherein the fault indicator is composed of a sensor unit, a processing unit, a communication unit and an alarm unit, and comprises the following steps:

[0040] Step A, installing the fault indicator on the key node equipment of the power distribution line, ensuring that the sensor unit is correctly connected to the line; the key node equipment is a man-made area;

[0041] Step B, connecting to the main control center through the communication unit to configure fault detection parameters and alarm thresholds;

[0042] Step C, the sensor unit monitors the current and voltage of the key node equipment in real time and transmits the data to the processing unit;

[0043] Step D: The processing unit analyzes the data according to a preset algorithm to determine whether the key node device has a fault;

[0044] Step E: Once a fault is detected, the processing unit immediately sends an alarm message through the communication unit and activates the alarm unit.

[0045] Preferably, step D comprises:

[0046] Step D.1, perform time domain analysis on the current and voltage of key node equipment to calculate the current characteristics and voltage characteristics;

[0047] Step D.2, performing frequency domain analysis on the current and voltage of key node equipment to obtain the frequency spectrum characteristics of the current and voltage;

[0048] Step D.3, setting the fault detection thresholds of current and voltage based on historical data and prior knowledge;

[0049] Step D.4, establish a fault detection model and train the fault detection model to identify normal and abnormal patterns;

[0050] Step D.5: If it is detected that the current and voltage data exceed the threshold set by the protection or the fault detection model identifies an abnormal mode, the system determines that it is a fault.

[0051] Compared with the prior art, the beneficial effects of the present invention include at least:

[0052] 1. The present invention monitors the operating status of node devices in real time through the operation management platform, can quickly locate the fault area and isolate it, and restore power supply to non-fault areas, thereby minimizing the power outage time and impact range, improving the reliability of the distribution network, and can effectively improve the fault handling capability and power supply possibility of the distribution network to realize the fault self-healing function of the distribution network.

[0053] 2. The present invention provides comprehensive operating parameters and rich information resources for the operation management platform through the monitoring and data collection functions of the sensor equipment, which helps to achieve more accurate power grid operation analysis and maintenance decisions, improve the scientificity and accuracy of power grid management, and reduce operation and maintenance costs.

[0054] 3. The present invention controls the connection between the switch and the sensor device through the node, which is conducive to executing the control strategy according to the real-time operating parameters, and enhances the adaptive ability and response speed of the power grid.

[0055] 4. The present invention uses power quality management equipment, whether at the output end of the power supply equipment or connected to the node control switch, to improve the power quality in a targeted manner, reduce voltage fluctuations, harmonics and other problems, and improve the stability and safety of power supply.

[0056] 5. The fault self-healing device of the present invention has a simple structure and a simple self-healing process, which improves the accuracy of fault location, reduces the time for system detection and processing of faults, and can achieve rapid response to faults. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a structural schematic diagram of a distribution network fault self-healing device provided according to an embodiment of the present invention;

[0058] Figure 2 It is a detailed structural diagram of each node device of the distribution network fault self-healing device provided in accordance with an embodiment of the present invention;

[0059] Figure 3 It is a structural schematic diagram of an intelligent operation detection module of a distribution network fault self-healing device provided in accordance with an embodiment of the present invention;

[0060] Figure 4 It is a schematic diagram of the structure of a new business and new business form management module of a distribution network fault self-healing device provided in accordance with an embodiment of the present invention;

[0061] Figure 5 It is a schematic diagram of the structure of an information communication module of a distribution network fault self-healing device provided in accordance with an embodiment of the present invention;

[0062] Figure 6 It is a diagram illustrating the node equipment connection relationship and data transmission and processing means of a distribution network fault self-healing device provided in accordance with an embodiment of the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0064] like Figure 1As shown, embodiment 1 of the present invention provides a distribution network fault self-healing device, including: multiple node devices in the distribution network and an operation management platform.

[0065] The operation management platform is used to analyze the operating parameters of the node equipment, evaluate and continuously monitor the operating status of the multiple node devices, locate the fault area based on the operating status, send control instructions to cut off power and isolate the node devices in the fault area, and send control instructions to restore power to the node devices outside the fault area, thereby isolating the fault area and restoring power to non-fault areas.

[0066] Preferably, the operation management platform includes a distribution automation operation management and control system and a distribution Internet of Things operation management and control system.

[0067] Among them, the distribution automation operation and control system includes a distribution network operation monitoring module and a distribution network operation status control module; the distribution Internet of Things operation and control system includes a distribution Internet of Things cloud master station application and a power grid resource business middle station; the distribution automation operation and control system is used to communicate with various node devices in the distribution network and collect power grid operation data; the distribution Internet of Things operation and control system is used to control and manage various Internet of Things devices in the distribution network.

[0068] Preferably, the operation management platform evaluates the operating status of each node device in the following manner: receiving real-time data of each node device, including power parameters such as voltage, power and frequency, and then analyzing the received data through the built-in data unit of the operation management platform to evaluate the operating status of each node device.

[0069] Preferably, the operation management platform locates the fault area in the following manner: when the operating parameters of a certain node device exceed a preset normal range, the operation management platform immediately triggers a fault detection program; the operation management platform uses intelligent algorithms such as pattern recognition or machine learning to analyze fault characteristics and quickly locate the fault area.

[0070] Preferably, the operation management platform isolates the fault area in the following manner: when the fault area is located, the operation management platform automatically issues a control instruction to cut off the connection between the fault area and the power grid through a circuit breaker or a node control switch to prevent the fault from spreading.

[0071] Preferably, the operation management platform restores power supply to non-fault areas in the following manner: first, the operation management platform evaluates the overall status of the power grid and determines the power supply demand of the non-fault areas; then, according to the operation strategy and optimization algorithm of the power grid, the operation management platform adjusts the power supply parameters of the non-fault areas, such as voltage and current, to ensure the quality and stability of power supply; finally, the operation management platform supplements the power supply and restores power supply to the non-fault areas by controlling other normally operating node devices, such as backup generators or energy storage systems.

[0072] like Figure 1 As shown, the multiple node devices include: primary and secondary fusion equipment, distribution transformers, distribution terminals, intelligent sensing equipment, node control switches, and power quality management equipment, among which the primary and secondary fusion equipment, distribution transformers and distribution terminals constitute the power supply equipment in the distribution network.

[0073] The primary-secondary fusion device is used to integrate the functions of the primary device and the secondary device. The primary device refers to the equipment involved in the transmission and distribution of electric energy; the secondary device refers to the equipment used to control, protect, measure and monitor the operating status of the primary device; the primary-secondary fusion device is respectively connected to the distribution transformer and the distribution terminal.

[0074] Specifically, the primary equipment in the distribution network includes: Transformer: used to increase or decrease the voltage to meet the needs of power grids of different voltage levels. Circuit breaker: used to control the on and off of the circuit, and to cut off the circuit when a fault occurs. Isolating switch: used to isolate the equipment or line from the power grid under no current or low current conditions. Bus: used as a conductor to connect different power equipment and transmit electric energy. Power cable: a conductor used to transmit electric energy, which can be underground or overhead. Generator, motor, etc.: in power stations, generators are used to generate electric energy; in industrial applications, motors are used to convert electric energy into mechanical energy. Secondary equipment includes: Relay protection device: used to detect abnormal conditions in the power system and trigger the circuit breaker to cut off the faulty part when necessary. Automatic control system: used to remotely monitor and control the operating status of power equipment. Measuring instrument: used to measure power parameters such as voltage, current, power, frequency, etc. Communication equipment: used to transmit data and control signals between primary equipment and secondary equipment. Operation interface: such as the monitoring screen and operation panel in the control room, used to display the system status and execute control commands.

[0075] Preferably, if Figure 2 As shown, the primary and secondary fusion equipment includes a primary and secondary fusion pole switch and a primary and secondary fusion ring network cabinet; the primary and secondary fusion pole switch and the primary and secondary fusion ring network cabinet both include a variety of primary equipment and secondary control equipment, and the primary and secondary fusion ring network cabinet is used in the ring network structure of the distribution network.

[0076] In an exemplary but non-limiting embodiment, the primary-secondary fusion device integrates the functions of a circuit breaker and a disconnector and the monitoring and control functions of a secondary device.

[0077] It is understandable that by using primary and secondary fusion equipment, the primary equipment for power transmission and distribution is integrated with the secondary equipment for control and protection, the number of equipment required in the power system is reduced, the system structure is simplified, the cost is reduced, the automatic control capability of the power grid is improved, the reliability and intelligence level of the system are improved, and more efficient management of the power system is achieved. In the context of smart distribution networks, the application of primary and secondary fusion equipment can improve the system's adaptive capabilities, optimize power grid operation, and also provide support for achieving the goals of smart grids.

[0078] Preferably, if Figure 2 As shown, the distribution transformer includes a dry-type distribution transformer and an oil-immersed distribution transformer.

[0079] Preferably, if Figure 2 As shown, the distribution terminal includes a feeder terminal (FTU, Feeder Terminal Unit), a station terminal (DTU, Distribution Terminal Unit), an intelligent fusion terminal, a fault indicator and a distribution network synchronous phasor measurement device (distribution PMU, Power Quality Monitoring Unit).

[0080] Among them, the feeder terminal is installed on the pole and switch cabinet of the distribution network feeder loop; the station terminal is installed in the switch station, distribution room, ring network cabinet and box-type substation of the distribution network feeder loop; the feeder terminal and the station terminal are used to send equipment status information to the control center, remotely collect and transmit various operating parameters of the distribution network, receive control instructions from the control center, and perform corresponding operations and feeder automation processing according to the control instructions; the feeder automation processing includes fault detection, fault isolation, network reconstruction and load balancing.

[0081] The distribution PMU is a device specifically used to monitor and analyze power quality. It can accurately measure power parameters such as voltage, current, frequency, power factor, etc., and can detect and record power quality events such as voltage sag, swell, short-term interruption, etc. The distribution PMU helps grid operators identify and solve power quality problems and optimize grid performance by providing detailed power quality data. It is usually integrated into the monitoring system of the smart grid to provide data support for the maintenance and optimization of the grid.

[0082] Preferably, the power distribution PMU is installed in a high voltage or ultra-high voltage transmission network and is used to measure the voltage amplitude, current amplitude and phase angle in the power system.

[0083] The fault indicator is installed on the power distribution line, and is used to detect line short circuit faults and single-phase grounding faults, and to issue a first alarm message based on the line short circuit fault and a second alarm message based on the single-phase grounding fault.

[0084] Preferably, the fault indicator is composed of a sensor unit, a processing unit, a communication unit and an alarm unit. Among them, the sensor unit: includes a current sensor and a voltage sensor, which are used to monitor the current and voltage changes in the line in real time. The processing unit: contains a microcontroller and a fault detection algorithm, which is used to analyze the data collected by the sensor unit and determine the type of fault. The communication unit: is responsible for transmitting the analysis results of the processing unit to the main control center or relevant operation and maintenance personnel. The alarm unit: includes an audible and audible alarm, which is used to send visible and audible alarm signals on site.

[0085] Further preferably, during short-circuit fault detection, when the three-phase current suddenly increases to above a set threshold and lasts for more than a set time, the processing unit determines it as a short-circuit fault. The processing unit sends a short-circuit fault signal to the communication unit, the communication unit transmits the fault information to the main control center, and activates the alarm unit to send an audible and visual alarm.

[0086] Further preferably, during single-phase grounding fault detection, when a phase current suddenly increases while the other two phase currents remain normal, and the voltage sensor detects that the phase voltage decreases, the processing unit determines that it is a single-phase grounding fault. The processing unit sends a single-phase grounding fault signal to the communication unit, and the communication unit transmits this information to the main control center and activates the alarm unit to send another mode of sound and light alarm.

[0087] The intelligent sensing device is used to monitor and collect the operating parameters of the multiple node devices, and send the operating parameters to the operation management platform and the node control switch; the intelligent sensing device is installed on the distribution transformer, the primary and secondary fusion device and the node control switch.

[0088] Specifically, smart sensing devices are used to monitor key operating parameters such as voltage, current, power, temperature, frequency, etc. Smart sensing devices have self-diagnosis functions and can monitor their own status to ensure the accuracy and reliability of data collection.

[0089] Preferably, the intelligent sensing device collects analog signals of the node devices in real time through a built-in high-precision analog-to-digital converter (ADC) and converts them into digital signals.

[0090] Preferably, the intelligent sensing device also has data preprocessing functions, such as data filtering, averaging, peak detection, etc., to improve data quality.

[0091] Preferably, the data from each intelligent sensor device is received by the data processing unit equipped by the operation management platform, and is stored and analyzed. The operation management platform has data fusion capabilities and can integrate data from different sensors to form a comprehensive view of the power grid operation. The operation management platform uses intelligent algorithms to analyze sensor data, detect abnormal conditions such as voltage fluctuations, current surges, etc., and perform fault diagnosis. Once a potential fault or abnormality is detected, the operation management platform will immediately issue an alarm and take corresponding control measures.

[0092] The node control switch is connected to the intelligent sensor device and is used to execute a corresponding control strategy according to the collected operating parameters; the control strategy includes controlling the on and off of the corresponding node device.

[0093] Preferably, if Figure 2 As shown, the node control switch uses a low-voltage intelligent switch, including a low-voltage intelligent circuit breaker and a residual current action protector. The low-voltage intelligent switch is an intelligent device with communication and control capabilities, which can automatically perform on-off operations according to the received instructions or preset control logic. Once the intelligent switch receives the operating parameters from the intelligent sensing device and determines that an operation needs to be performed according to the control strategy, it will automatically switch the state. For example, if the current of a node device is detected to exceed the safety threshold, the low-voltage intelligent switch will automatically disconnect the node device to prevent overload and potential equipment damage.

[0094] The node control switch integrates a fault detection model, which can identify normal and abnormal modes through offline training of intelligent algorithms, making up for the blind spots of relay protection such as changes in the flow direction, increase in normal working current, and failure of protection coordination after the distributed energy is connected to the distribution network. When the node control switch detects that the current and voltage data detected by the intelligent sensor device exceed the threshold set by the protection, or the fault detection model identifies an abnormal mode, or receives a power-off isolation control instruction from the operation management platform, the node control switch will act to quickly isolate the fault area and ensure the stable operation of the power grid in unrelated areas; the node control switch can only accept the closing instruction of the operation management platform to restore power supply to the non-fault area and realize self-healing of the fault.

[0095] Preferably, after fault detection and location, the node control switch can quickly isolate the fault area while maintaining power supply to non-fault areas to minimize the impact on users.

[0096] Preferably, the node control switch can also execute different control strategies, such as partial load transfer or emergency power off, according to the fault type and severity.

[0097] It can be understood that the connection between node control switches and intelligent sensor devices makes it possible to execute control strategies according to real-time operating parameters, such as load balancing, fault isolation, energy management, etc., which enhances the adaptive ability and response speed of the power grid.

[0098] The power quality management device is installed at the output end of the power supply equipment, or connected to the node control switch, to reduce voltage fluctuations during power restoration, ensure that the power supply equipment or node control switch is firmly connected to the power supply cable, and avoid malfunction of the node control switch during power restoration.

[0099] Specifically, power quality management equipment refers to a series of equipment and systems used to improve and maintain the power quality in the power grid. These equipment and systems can detect power quality problems in the power grid, and adjust and optimize the power through various technical means to ensure the stability and reliability of the power. Power quality problems usually include voltage fluctuations, harmonic pollution, low power factor, voltage sag, voltage swell and frequency deviation. Considering that during the power supply restoration process, the voltage fluctuates greatly and there are many harmonics, the distribution transformer protection and node control switches are very easy to misidentify and malfunction. The power quality management equipment can promote the improvement of the power quality of the power supply cable, ensure the stable connection between the distribution transformer or node control switch and the power supply cable, and ensure the smooth self-healing of the distribution network.

[0100] Preferably, if Figure 3 As shown, the distribution network fault self-healing device provided in Example 1 of the present invention also includes: multiple operation and inspection modules for performing intelligent operation detection on the distribution network, including a distribution station room inspection robot, a distribution line inspection drone, an environmental monitoring terminal, a distribution equipment status monitoring module and a distribution mobile operation robot.

[0101] like Figure 3 As shown, in the process of intelligent operation detection of the distribution network, the technical means used by the distribution network fault self-healing device specifically include: distribution equipment status monitoring, new equipment and new technologies for distribution equipment detection, electronic tags for distribution equipment facilities, distribution station inspection robots, distribution line inspection drones, environmental monitoring terminals and distribution mobile operations.

[0102] Among them, the electronic tags of distribution equipment facilities can set corresponding electronic tags for each distribution equipment. When the equipment fails, the electronic tags can be used to provide detailed information about the faulty equipment, which is convenient for quickly locating the problem and performing repairs. It can be used to mark the operating status or potential dangers of the distribution equipment, and remind staff to take corresponding safety measures; it can be used to allow operators to remotely control the equipment, such as switch operation, parameter setting, etc. It can also be used to record the equipment's operating data and historical events, and provide data support for equipment operation analysis and fault analysis.

[0103] Among them, the distribution station inspection robot and the distribution line inspection drone can achieve the following technical effects by setting up inspection robots to inspect each distribution station, and setting up inspection drones to inspect each distribution line, namely: being able to inspect for a long time and greatly improving the efficiency of the inspection work. Among them, the inspection robot or drone can be equipped with high-precision sensors to detect subtle changes, such as temperature abnormalities, gas leaks, etc.

[0104] It is understandable that compared with traditional manual inspections, robots or drones are easier to maintain and can work in various environmental conditions, including bad weather or poor lighting conditions. The application of inspection robots and inspection robots not only improves the operation and maintenance efficiency and safety of power systems, but also promotes the development of the power industry towards intelligence and automation.

[0105] Preferably, if Figure 4 As shown, the distribution network fault self-healing device provided in Example 1 of the present invention also includes: a distribution network new business and new business format management module; the distribution network new business and new business format management module includes at least one of the following multiple modules: a DC distribution network module, a charging and battery replacement module, an electric energy substitution module, an integrated energy module, a demand side response module and a virtual power plant module; wherein the DC distribution network module includes a DC switch and an electric energy router; the electric energy substitution module includes a coal-to-electricity unit and a port shore power unit.

[0106] Preferably, if Figure 5 As shown, the distribution network fault self-healing device provided in Example 1 of the present invention also includes: an information communication module; the information communication module includes at least one of the following multiple modules: a digital platform, a data model and protocol module, a communication network module, and a network and information security module.

[0107] Among them, the digital platform includes an Internet of Things management platform, a technical middle platform and a data middle platform; the technical middle platform includes an artificial intelligence module, a blockchain module and a mobile Internet module; the communication network module includes a remote communication unit and a local communication unit; the remote communication unit includes a wireless public network subunit, a wireless private network subunit, a fiber optic communication subunit, a satellite communication subunit and a Central Asian power line carrier subunit; the local communication unit includes a low-voltage power line carrier subunit, a micro-power wireless communication subunit and a field bus subunit.

[0108] Figure 6 The node equipment connection relationship and data transmission and processing means of the distribution network fault self-healing device of the present invention are given. Figure 6It can be seen that the transformer, primary and secondary integration equipment, distribution terminal, node control switch and power quality management equipment are connected in sequence through power supply cables, the transformer, primary and secondary integration equipment, distribution terminal and node control switch are connected to the operation management platform through intelligent sensor equipment, and the power quality management equipment is directly connected to the operation management platform through the communication link.

[0109] Among them, the primary and secondary fusion equipment reduces the number of devices required to achieve fault self-healing by integrating the primary equipment with the secondary equipment; the node control switch is used to receive and execute the fault self-healing decision of the operation management platform in real time, and isolate the fault on the spot; the intelligent sensor equipment detects and collects the parameters of other node equipment such as transformers, primary and secondary fusion equipment, distribution terminals and node control switches in real time and systematically, and transmits them to the operation management platform for data analysis and decision-making; the operation management platform is based on artificial intelligence model training, which can identify fault points in real time, optimize key line parameters, and generate fault self-healing strategies, which are sent to each node device for execution. It can be seen that the selection of each node device and the construction of the management platform are strictly centered on the goal of simplifying the structure of the self-healing device and improving the intelligent digitization of the distribution network.

[0110] like Figure 6 In the distribution network fault self-healing device shown, the detailed process of the operation management platform and each node device cooperating with each other to realize fault self-healing is as follows: the operation management platform uses intelligent algorithms to analyze fault characteristics and locate the fault area based on the electrical information sent by the intelligent sensor device; collects the electrical parameters of the distribution transformer, the primary and secondary fusion equipment, and the node control switch, and sends them to the circuit breaker and node control switch installed with the relay protection device; the circuit breaker acts according to the established logic of the relay protection device, and the node control switch detects that the current and voltage data exceed the threshold set by the protection or the fault detection model identifies an abnormal mode action; the node control switch on the distributed power supply side executes the anti-islanding operation control strategy, that is, to ensure that the distributed power supply is completely disconnected from the grid; the circuit breaker and the node control switch use the information communication module to send the action information to the operation management platform, the alarm unit is activated, and the fault is isolated; the operation management platform evaluates the overall state of the power grid based on the electrical parameters uploaded by the intelligent sensor equipment, closes several node control switches and circuit breakers, and restores power supply to non-faulty areas. At the same time, the power quality management equipment can help reduce voltage fluctuations, ensure that the distribution transformer or node control switch is firmly connected to the power supply cable, avoid false operation during power supply restoration, and ultimately achieve self-healing of faults.

[0111] Compared with the prior art CN104167819A and the like, the distribution network fault self-healing device provided by the present invention has a simple structure and only includes an operation management platform and multiple node devices. The operation management platform continuously monitors the operating status of multiple node devices and locates the fault area based on the operating status of each node device, which can greatly improve the accuracy of fault location.

[0112] Embodiment 2 of the present invention provides a distribution network fault self-healing method, which implements distribution network fault self-healing based on the distribution network fault self-healing device described in Embodiment 1, including the following steps:

[0113] Step 1: Receive real-time data of each node device, including power parameters such as voltage, power and frequency, and analyze the received data based on the data unit built into the operation management platform to evaluate the operating status of each node device;

[0114] Step 2: When a certain power parameter of a certain node device received in step 1 exceeds a preset normal range, the fault detection program based on the operation management platform uses intelligent algorithms such as pattern recognition or machine learning to analyze the fault characteristics and quickly locate the fault area;

[0115] Step 3: Based on the node control switch's own logic or the control instruction issued by the operation management platform, the node control switch is used to cut off the connection between the fault area located in step 2 and the power grid to prevent the fault from spreading;

[0116] Step 4: Restore power supply to non-faulty areas.

[0117] In a preferred but non-limiting embodiment of the present invention, step 4 specifically comprises:

[0118] Step 4.1, evaluate the overall state of the power grid based on the operation management platform, and further calculate the total power required for the non-fault area during the power supply period based on the short-term predicted power of the load in the non-fault area under the operation management platform, so as to determine the power supply demand of the non-fault area;

[0119] Step 4.2: Import the power supply demand of each node in the non-fault area into the operation strategy and optimization algorithm of the power grid, and optimize the solution with the goal of optimal power supply quality, lowest power supply cost, and best power supply stability, so as to determine the key parameters such as voltage and current in the non-fault area, and adjust the power supply parameters such as voltage and current in the non-fault area based on the results to ensure the quality and stability of power supply;

[0120] Step 4.3, by controlling other normally operating node devices, such as backup generators or energy storage systems, to supplement the power supply and restore power supply to non-fault areas.

[0121] In a preferred but non-limiting embodiment of the present invention, the distribution network fault self-healing method further includes: fault detection and alarm based on node control switches and fault indicators, specifically including the following steps:

[0122] Step A: Install the fault indicator on the key node equipment of the distribution line and ensure that the sensor unit is correctly connected to the line.

[0123] The key node equipment refers to the area with a high probability of failure, such as a distribution transformer. It can also be set according to the actual application scenario, and the key node equipment for different application scenarios is different.

[0124] Step B: connect to the main control center through the communication unit to configure fault detection parameters and alarm thresholds.

[0125] Preferably, the communication unit can be connected to the main control center by wireless and wired parallel connection to ensure fault detection in case of wired connection failure. Fault detection parameters and alarm thresholds, such as overcurrent and overvoltage, can be input or adjusted through the interface of the main control center, where the alarm threshold can be set according to actual conditions and is not specifically limited here.

[0126] Step C: The sensor unit monitors the current and voltage of key node devices in real time and transmits the data to the processing unit.

[0127] Step D: The processing unit analyzes the data according to a preset algorithm to determine whether the key node device has a fault.

[0128] In a further preferred embodiment of the present invention, step D specifically comprises:

[0129] Step D.1, perform time domain analysis on the current and voltage of key node devices to calculate current characteristics and voltage characteristics, such as mean, standard deviation and maximum value;

[0130] Step D.2, performing frequency domain analysis on the current and voltage of key node equipment to obtain the frequency spectrum characteristics of the current and voltage;

[0131] More preferably, frequency domain analysis of current and voltage of key node devices is achieved through Fourier transform;

[0132] Step D.3, setting the fault detection thresholds of current and voltage based on historical data and prior knowledge;

[0133] Step D.4, establish a fault detection model and train the fault detection model to identify normal and abnormal patterns;

[0134] More preferably, the fault detection model selects a support vector machine (SVM) or a neural network;

[0135] Step D.5: If it is detected that the current and voltage data exceed the threshold set by the protection or the fault detection model identifies an abnormal mode, the system determines that it is a fault.

[0136] More preferably, the processing unit determines the approximate area where the fault occurs based on the signal of the sensor unit; and uses the traveling wave positioning method to accurately locate the fault in combination with the distribution network model and real-time data.

[0137] Step E: Once a fault is detected, the processing unit immediately sends an alarm message through the communication unit and activates the alarm unit.

[0138] Through the above steps A to E, real-time monitoring and alarm of faults can be achieved, helping operation and maintenance personnel to respond quickly and reducing the impact of faults on power grid operation.

[0139] It is understandable that the present invention adopts modular design and network interconnection, which is easy to expand and upgrade the system according to future needs, and maintain long-term technological leadership and adaptability. The present invention optimizes the operation of the power grid and improves the quality of power, so that users can enjoy a more stable and high-quality power supply and improve the power experience. The present invention can monitor the status of the power grid in real time, discover and deal with safety hazards in a timely manner, reduce the risk of accidents, and improve the safety management level of the entire power grid.

[0140] The distribution network fault self-healing method provided by the present invention has a simple process. The fault area can be isolated and the power supply to the non-fault area can be restored only through the operation management platform. The simplified self-healing process can quickly respond to faults and reduce the time for system detection and processing of faults. By accurately isolating the fault area, unnecessary large-scale power outages can be avoided and normal power supply to the non-fault area can be guaranteed.

[0141] Compared with the prior art, the beneficial effects of the present invention include at least:

[0142] 1. The present invention monitors the operating status of node devices in real time through the operation management platform, can quickly locate the fault area and isolate it, and restore power supply to non-fault areas, thereby minimizing the power outage time and impact range, improving the reliability of the distribution network, and can effectively improve the fault handling capability and power supply possibility of the distribution network to realize the fault self-healing function of the distribution network.

[0143] 2. The present invention provides comprehensive operating parameters and rich information resources for the operation management platform through the monitoring and data collection functions of the sensor equipment, which helps to achieve more accurate power grid operation analysis and maintenance decisions, improve the scientificity and accuracy of power grid management, and reduce operation and maintenance costs.

[0144] 3. The present invention controls the connection between the switch and the sensor device through the node, which is conducive to executing the control strategy according to the real-time operating parameters, and enhances the adaptive ability and response speed of the power grid.

[0145] 4. The present invention uses power quality management equipment, whether at the output end of the power supply equipment or connected to the node control switch, to improve the power quality in a targeted manner, reduce voltage fluctuations, harmonics and other problems, and improve the stability and safety of power supply.

[0146] 5. The fault self-healing device of the present invention has a simple structure and a simple self-healing process, which improves the accuracy of fault location, reduces the time for system detection and processing of faults, and can achieve rapid response to faults.

[0147] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A distribution network fault self-healing device, characterized in that: include: Node equipment and operation management platform; The operation management platform is used to analyze the operating parameters of the node equipment to locate the fault area, send control instructions to power off and isolate the node equipment in the fault area, and send control instructions to restore power to the node equipment outside the fault area; Node equipment includes: power supply equipment, sensor equipment, node control switch and power quality management equipment; The sensor device is installed on the power supply device and the node control switch to monitor and collect the operating parameters of the node device and send the operating parameters to the operation management platform and the node control switch; A fault detection model is integrated in the node control switch, and the fault detection model is trained offline through an intelligent algorithm to identify normal and abnormal modes; the node control switch is disconnected to isolate the fault area when it detects that the operating parameters exceed the threshold set by the protection or the fault detection model identifies an abnormal mode or receives a power-off isolation control instruction from the operation management platform; the node control switch on the distributed power supply side simultaneously executes an anti-islanding operation control strategy to ensure that the distributed power supply is completely disconnected from the grid; the node control switch is closed when it receives a power restoration control instruction from the operation management platform, and the power supply to the non-fault area is restored to achieve self-healing of the fault; The power quality management equipment is installed at the output end of the power supply equipment, or connected to the node control switch to reduce voltage fluctuations during the process of restoring power supply to non-fault areas and avoid malfunction of the node control switch.

2. The distribution network fault self-healing device according to claim 1, characterized in that: The device also includes: an operation and inspection module, which is used to perform operation inspection on the power distribution network; The operation and inspection module includes a distribution station inspection robot, a distribution line inspection robot, an environmental monitoring terminal, a distribution equipment status monitoring module and a distribution mobile operation robot.

3. The distribution network fault self-healing device according to claim 1, characterized in that: The device also includes: a distribution network business and business type management module; The distribution network business and business management module includes at least one of the following modules: a DC distribution network module, a charging and battery replacement module, an electric energy substitution module, a comprehensive energy module, a demand side response module, and a virtual power plant module; Among them, the DC distribution network module includes a DC switch and an electric energy router; the electric energy replacement module includes a coal-to-electricity unit and a port shore power unit.

4. The distribution network fault self-healing device according to claim 1, characterized in that: The device further comprises: an information communication module; The information communication module includes at least one of the following modules: a digital platform, a data model and protocol module, a communication network module, and a network and information security module; Among them, the digital platform includes an Internet of Things management platform, a technical middle platform and a data middle platform; the technical middle platform includes an artificial intelligence module, a blockchain module and a mobile Internet module; the communication network module includes a remote communication unit and a local communication unit; the remote communication unit includes a wireless public network subunit, a wireless private network subunit, a fiber optic communication subunit, a satellite communication subunit and a Central Asian power line carrier subunit; the local communication unit includes a low-voltage power line carrier subunit, a micro-power wireless communication subunit and a field bus subunit.

5. The distribution network fault self-healing device according to claim 1, characterized in that: The operation management platform includes a distribution automation operation control system and a distribution Internet of Things operation control system; wherein the distribution automation operation control system includes a distribution network operation monitoring module and a distribution network operation status control module; the distribution Internet of Things operation control system includes a distribution Internet of Things cloud master station application and a power grid resource business middle station; The distribution automation operation control system is used to communicate with node devices in the distribution network and collect power grid operation data; The power distribution Internet of Things operation management and control system is used to control and manage the Internet of Things devices in the power distribution network.

6. The distribution network fault self-healing device according to claim 1, characterized in that: The power supply equipment includes: primary and secondary fusion equipment; The primary and secondary fusion equipment includes a primary and secondary fusion pole switch and a primary and secondary fusion ring network cabinet; the primary and secondary fusion pole switch and the primary and secondary fusion ring network cabinet both include primary equipment and secondary control equipment.

7. The distribution network fault self-healing device according to claim 1, characterized in that: The power supply equipment comprises: a power distribution terminal; The power distribution terminal includes a feeder terminal, a station terminal, an intelligent fusion terminal, a fault indicator and a distribution network synchronous phasor measurement device; The feeder terminal is installed on the pole and switch cabinet of the distribution network feeder loop; the station terminal is installed in the switch station, distribution room, ring network cabinet and box-type substation of the distribution network feeder loop; The feeder terminal and the station terminal are both used to send equipment status information to the control center, remotely collect and transmit various operating parameters of the distribution network, receive control instructions from the control center, and perform corresponding operations and feeder automation processing according to the control instructions; the feeder automation processing includes fault detection, fault isolation, network reconstruction and load balancing.

8. The distribution network fault self-healing device according to claim 7, characterized in that: The fault indicator is installed on the power distribution line, and is used to detect line short circuit faults and single-phase grounding faults, and to issue a first alarm message based on the line short circuit fault and a second alarm message based on the single-phase grounding fault.

9. The distribution network fault self-healing device according to claim 7, characterized in that: The distribution network synchronous phasor measurement device is installed in a high voltage or ultra-high voltage transmission network and is used to measure the voltage amplitude, current amplitude and phase angle in the power system.

10. A distribution network fault self-healing method, which realizes distribution network fault self-healing based on the distribution network fault self-healing device according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Receive real-time data of each node device, including voltage, power and frequency, and analyze the received data based on the data unit built into the operation management platform to evaluate the operating status of each node device; Step 2: When the real-time data of a node device received in step 1 exceeds the preset normal range, the fault detection program based on the operation management platform uses an intelligent algorithm to analyze the fault characteristics and locate the fault area; Step 3: Based on the node control switch's own logic or the control instruction issued by the operation management platform, the node control switch is used to cut off the connection between the fault area located in step 2 and the power grid; Step 4: Evaluate the overall status of the power grid based on the operation management platform, and further calculate the total power required in the non-fault area during the power supply guarantee period based on the short-term predicted power of the load in the non-fault area under the operation management platform, and determine the power supply demand in the non-fault area; adjust the power supply parameters in the non-fault area according to the operation strategy and optimization algorithm of the power grid; By controlling other normally operating node devices to supplement power supply, power supply to non-faulty areas can be restored to achieve self-healing of faults.

11. A distribution network fault self-healing method according to claim 10, characterized in that: The distribution network fault self-healing method further includes: performing fault detection and alarm based on a node control switch and a fault indicator, wherein the fault indicator is composed of a sensor unit, a processing unit, a communication unit and an alarm unit, and includes the following steps: Step A, installing the fault indicator on the key node equipment of the power distribution line, ensuring that the sensor unit is correctly connected to the line; the key node equipment is a man-made area; Step B, connecting to the main control center through the communication unit to configure fault detection parameters and alarm thresholds; Step C, the sensor unit monitors the current and voltage of the key node equipment in real time and transmits the data to the processing unit; Step D: The processing unit analyzes the data according to a preset algorithm to determine whether the key node device has a fault; Step E: Once a fault is detected, the processing unit immediately sends an alarm message through the communication unit and activates the alarm unit.

12. A distribution network fault self-healing method according to claim 11, characterized in that: Step D includes: Step D.1, perform time domain analysis on the current and voltage of key node equipment to calculate the current characteristics and voltage characteristics; Step D.2, performing frequency domain analysis on the current and voltage of key node equipment to obtain the frequency spectrum characteristics of the current and voltage; Step D.3, setting the fault detection thresholds of current and voltage based on historical data and prior knowledge; Step D.4, establish a fault detection model and train the fault detection model to identify normal and abnormal patterns; Step D.5: If it is detected that the current and voltage data exceed the threshold set by the protection or the fault detection model identifies an abnormal mode, the system determines that it is a fault.

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