CN115347673A - Digital twin system diagnostic method suitable for distribution switchgear - Google Patents
Digital twin system diagnostic method suitable for distribution switchgear Download PDFInfo
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- CN115347673A CN115347673A CN202210979477.3A CN202210979477A CN115347673A CN 115347673 A CN115347673 A CN 115347673A CN 202210979477 A CN202210979477 A CN 202210979477A CN 115347673 A CN115347673 A CN 115347673A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/04—Power grid distribution networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention belongs to the technical field of power system monitoring, and particularly relates to a digital twin system diagnosis method suitable for power distribution switchgear, which comprises the steps of carrying out data perception by acquiring state data of the power distribution switchgear; transmitting the collected state data of the power distribution switchgear to a digital twin management platform; performing virtualization high real mapping on the physical model; displaying the acquired state data of the power distribution switchgear in a digital twin management platform; fusing simulation calculation data serving as a database with the digital twin model; comparing the simulation calculation data, and diagnosing and predicting the power distribution switchgear; an optimal maintenance strategy is given to the distribution switchgear. The invention can realize remote monitoring, diagnosis and prediction, modeling simulation of the distribution switchgear and simulation of relay protection under the condition of distributed energy access, and visualize the simulation result in the system, thereby reducing the failure rate and the unplanned shutdown times of the distribution switchgear.
Description
Technical Field
The invention belongs to the technical field of power system monitoring, and particularly relates to a digital twin system diagnosis method suitable for power distribution switchgear.
Background
The distribution switchgear is a key device in a power grid, and the guarantee of the operation reliability of the distribution switchgear is the basis of the normal operation of a power system.
Chinese patent document (CN 204407761U) discloses a 'transformer substation state maintenance device based on three-dimensional visual intelligent platform', which comprises a cabinet body and a functional module, wherein the cabinet body is a hollow cylinder, the cabinet body comprises a cabinet body main body, a cover plate and a bottom plate, the cover plate and the bottom plate are circular, the cabinet body main body is cylindrical, the cabinet body main body comprises a side plate with a circular arc-shaped cross section and a cabinet door with a circular arc-shaped cross section, the central angle of the circular arc shape formed by the side plate is alpha, alpha = 95-120 degrees, the cabinet door is characterized in that the central angle of the arc shape of the cabinet door is beta, beta = 240-265 degrees, the cover plate and the bottom plate are arranged oppositely, a fixed rod is vertically arranged between the circular centers of the cover plate and the bottom plate and is fixedly connected with the cover plate and the bottom plate, the fixed rod is a hollow round tube, two ends of the fixed rod are provided with cabinet door connecting plates, the cabinet door connecting plates are fan-shaped, the fan-shaped top ends of the cabinet door connecting plates are rotatably connected with the fixed rod, a plurality of spring parts are arranged at the fan-shaped arc ends of the cabinet door connecting plates, the cabinet door is connected with the cabinet door connecting plates through the spring parts, the periphery of the cabinet door is provided with a resisting plate, the resisting plate and the cabinet door are of an integrated structure, the cabinet door protrudes out of the periphery of the cabinet body under the action of the cabinet door connecting plates and the spring parts, and is abutted and positioned with the side plate through the abutting plate, the upper end and the lower end of the cabinet door are provided with arc-shaped sliding strips which protrude outwards, the upper end and the lower end of the side plate are provided with inward sliding grooves matched with the sliding strips, through the cooperation of draw runner and spout, realized that the cabinet door is connected about the rotation of dead lever in the cabinet body, even level is equipped with a plurality of saddles on the dead lever, divides the cubical switchboard into a plurality of cavities, and the saddle is circular, and the saddle uses the dead lever as the centre of a circle free rotation, and the installation is placed the cubical switchboard instrument on the saddle, and the department that contacts of offset plate and curb plate is equipped with sealing rubber.
The power distribution switchgear with the scheme has some defects in the aspect of three-dimensional visualization, a digital model established according to a physical entity is insufficient and incomplete, dynamic real-time updating of power distribution switchgear operation data is difficult to achieve, and due to data hysteresis, simulation results, prediction results and the like are not accurate enough. The electric power equipment twin system constructed by other schemes except the scheme does not have electric, magnetic and thermal finite element simulation functions, does not have a finite element simulation function based on real-time operation parameters of the equipment, and further lacks a simulation function of a grid structure and relay protection of the electric power system.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a digital twin system diagnosis method which can realize remote monitoring, diagnosis and prediction, modeling simulation of distribution switchgear and simulation of relay protection under distributed energy access through a Web end platform, visualize the simulation result in the system, reduce the failure rate and unplanned shutdown times of the distribution switchgear, and realize the failure diagnosis and prediction of the distribution switchgear on a digital twin model based on real-time monitoring data and simulation calculation data.
In order to solve the technical problem, the invention is realized as follows:
a digital twinning system diagnostic method suitable for an electrical distribution switchgear, comprising the steps of:
s1: data sensing is carried out by acquiring state data of the power distribution switchgear;
s2: transmitting the acquired state data of the power distribution switchgear to a digital twin management platform to enable a digital twin model to run synchronously with a physical entity;
s3: receiving operation data of equipment through a communication interface, and performing virtualization high real mapping on a physical model based on a virtual reality method;
s4: displaying the acquired state data of the power distribution switchgear in a digital twin management platform;
s5: carrying out modeling simulation on the power distribution switch equipment, calculating the distribution of a temperature field and an electric field of the equipment in different running states to form simulation calculation data, and fusing the simulation calculation data serving as a database with the digital twin model;
s6: comparing simulation calculation data based on real-time monitoring data of the power distribution switchgear, and diagnosing and predicting the power distribution switchgear;
s7: and according to the diagnosis and prediction result, the digital twin management platform gives the optimal maintenance strategy to the power distribution switchgear.
Further, in step S1, acquiring status data of the power distribution switchgear includes the following steps:
s101: arranging sensors at each node of a power distribution switchgear entity, and acquiring operation data of the equipment in real time;
s102: and defining the acquired data into data in a JSON format.
Further, in the step S2, the transmitting the status data to the digital twin management platform includes the following steps:
s201: transmitting the sensor data to a background server by adopting an MQTT protocol; determining an MQTT theme, and subscribing the theme by a background server;
s202: the single chip microcomputer issues the defined JSON format data to the theme in S201;
s203: the background server receives the data and stores the data into a database;
s204: and the background server transmits the data to the digital twin management platform in real time by adopting an Http protocol.
Further, the step S3 of establishing the digital twin model includes the following steps:
s301: establishing a geometric model of the power distribution switchgear;
s302, establishing a physical model of the power distribution switchgear, and describing physical properties of the power distribution switchgear by using finite element analysis software;
s303: and establishing a behavior model of the power distribution switchgear, and realizing real-time mapping of the operation action of the power distribution switchgear.
Further, the step S4 of displaying the state data of the power distribution switchgear on the digital twin management platform includes the following steps:
s401: the background server transmits the equipment operation data stored in the database to a digital twin management platform by an Http protocol;
s402: and the digital twin management platform processes and analyzes data, and displays the analysis result in a graph or table form.
Further, in the step S5, the modeling simulation of the power distribution switchgear includes temperature field simulation, electric field simulation, magnetic field simulation, airflow field simulation, and simulation of fault type and protection scheme under distributed energy access.
Further, the temperature field simulation, the electric field simulation, the magnetic field simulation and the airflow field simulation of the power distribution switchgear comprise the following steps:
S501A: in step S203, the background server respectively establishes different simulation database tables;
S501B: establishing a power distribution switchgear simulation model in simulation software;
S501C: setting parameters of thermal conductivity, density, specific heat capacity, resistivity and emissivity of the simulation model;
S501D: carrying out mesh division on the simulation model;
S501E: if the user carries out temperature field simulation, the step S1 collects real-time running data required by the temperature field simulation, transmits the real-time running data into a background through a transmission layer, stores the real-time running data into a temperature field simulation data table, and locally backs up the data in a user computer;
S501F: when a user solves the simulation model, data in the temperature field simulation data table is used as a model simulation initial condition, the temperature of the power distribution switchgear in a future period of time is subjected to simulation prediction, and a simulation result is stored to the local in a picture format;
S501G: and reading and displaying a local simulation result picture by the digital twin system of the power distribution switchgear.
Further, under the condition that the distribution switch equipment is connected with the distributed energy, the simulation of the fault type and the protection scheme comprises the following steps:
S502A: adopting a dual-power system, carrying out difference processing on three-phase currents collected by current transformers on two sides, taking absolute values of all phase differences, and taking the largest phase as an electric quantity to be compared with a set value;
S502B: when an out-of-range short circuit fault occurs, the working current or fault current flows through the current transformers on the two sides in the same direction, the absolute value of the difference value is very small and is far smaller than the setting value, and the breaker cannot act;
S502C: when a short-circuit fault occurs in the area, the currents flowing through the current transformers on the two sides are in the opposite directions, the absolute value of the difference value is larger than the setting value, the current transformers are judged to be fault points in the area, the circuit breakers on the two sides are disconnected, and signals are output to the automatic reclosing module.
Further, the diagnostic prediction of the power distribution switchgear in step S6 includes the following steps:
s601: monitoring the running state of the power distribution switchgear on a digital twin model based on real-time monitoring data and simulation calculation data;
s602: and matching and comparing the real-time monitoring data and the simulation calculation data with the data in normal operation to judge the operation state of the power distribution switch equipment, and performing fault monitoring and early warning on the power distribution switch equipment according to the matching and comparing result.
Further, the intelligent decision in the digital twin management platform in step S7 includes the following steps:
s701: when the power distribution switch equipment fails, the digital twin management platform gives an alarm to remind maintenance personnel to overhaul and maintain the equipment;
s702: after the maintenance personnel finish maintaining, if the distribution switchgear has the change of the geometric dimension, the maintenance personnel inputs the change data in the digital twin management platform, and the digital twin model is automatically optimized, so that the digital twin model is consistent with the physical entity of the switchgear.
The invention can realize remote monitoring, diagnosis and prediction, modeling simulation of the power distribution switchgear and simulation of relay protection under distributed energy access through the Web end platform, and visualize the simulation result in the system, thereby reducing the failure rate and the unplanned shutdown times of the power distribution switchgear. The invention designs a digital twin system suitable for the power distribution switchgear aiming at the problems of poor real-time performance of monitoring the state of the power distribution switchgear, poor utilization of monitoring data and the like, the system realizes the functions of remote monitoring, diagnosis and prediction and modeling simulation of the power distribution switchgear, realizes the real-time monitoring of the running state of the power distribution switchgear through a Web end platform, carries out simulation prediction on the equipment by using the real-time running state data of the equipment, visualizes the simulation result in the system, and reduces the failure rate and the unplanned shutdown times of the power distribution switchgear. The intelligent power distribution switch maintenance system has the advantages that maintenance personnel are remotely guided to maintain according to the intelligent diagnosis result, and the intelligent power distribution switch maintenance system is of great significance in improving the maintenance efficiency of power distribution switch equipment, reducing the labor intensity of the maintenance personnel, reducing the maintenance cost and guaranteeing the maintenance cost.
The data transmission uses MQTT protocol and Http protocol; the three-dimensional visualization of the power distribution switchgear can be realized at the web end; by utilizing a digital twinning technology, a twinning model and a physical entity of the power distribution switchgear can run synchronously, and by virtue of the advantage of strong real-time performance of the digital twinning, real-time running state data of the power distribution switchgear can be used as a data source in a system simulation module to perform simulation prediction on the switchgear; finite element simulation analysis can be carried out on the electromagnetic heat of the power distribution switchgear based on the real-time operation data of the power distribution switchgear; under the condition of distributed energy access, the simulation of relay protection can be carried out; based on real-time monitoring data and simulation calculation data, fault diagnosis and prediction of the power distribution switchgear can be achieved on the digital twin model.
Drawings
The invention is further described with reference to the following figures and detailed description. The scope of the invention is not limited to the following expressions.
FIG. 1 is a flow chart of a digital twin system diagnostic method of the present invention;
FIG. 2 is a block diagram of the process of the present invention for transferring status data to a digital twin management platform;
FIG. 3 is a schematic diagram of a digital twin model configuration according to the present invention;
FIG. 4 is a diagram illustrating the status data of the present invention displayed on a digital twin management platform;
FIG. 5 is a schematic diagram of a digital twin management platform of a modeling simulation module according to the present invention;
FIG. 6 is a schematic circuit diagram of a fault protection scheme under distributed energy access in accordance with the present invention;
FIG. 7 is a diagram illustrating simulation results in the state of FIG. 6 according to the present invention;
FIG. 8 is a schematic circuit diagram illustrating a fault protection scheme for a short-circuit fault in a lower area of distributed energy access according to the present invention;
FIG. 9 is a diagram illustrating simulation results in the state of FIG. 8 according to the present invention;
FIG. 10 is a diagram illustrating simulation results in the state of FIG. 8 according to the present invention.
Detailed Description
As shown, a digital twinning system diagnostic method for an electrical distribution switchgear includes the steps of:
s1: data awareness is responsible for collecting state data of the power distribution switchgear.
S2: the data transmission is a central pivot of the system, and the acquired state data of the power distribution switchgear is transmitted to a digital twin management platform, so that a digital twin model can run synchronously with a physical entity.
S3: the method comprises the steps of assembling a geometric model, a physical model and a behavior model of the power distribution switchgear, receiving operation data of the switchgear through a communication interface, and carrying out virtual high-reality mapping on the physical model based on a virtual reality method.
S4: the collected state data of the power distribution switchgear is visually displayed in the digital twin management platform, so that the running state of the switchgear can be better known.
S5: modeling simulation is carried out on the power distribution switch equipment, distribution of temperature fields and electric fields of the equipment in different running states is calculated, simulation calculation data is formed, and the simulation calculation data is used as a database to be fused with the digital twin model.
S6: and comparing simulation calculation data based on real-time monitoring data of the power distribution switchgear, and diagnosing and predicting the power distribution switchgear.
S7: and according to the diagnosis and prediction result, the digital twin management platform gives the optimal maintenance strategy to the power distribution switchgear.
The method for acquiring the state data of the power distribution switchgear in the S1 comprises the following steps:
s101: the sensors are arranged at each node of the power distribution switchgear entity to acquire the operation data of the equipment in real time.
S102: and defining the acquired data into data in a JSON format.
The step of transmitting the state data to the digital twin management platform in the S2 comprises the following steps:
s201: and transmitting the sensor data to the background server by adopting an MQTT protocol. And determining that the MQTT theme is oc/devices/sys/properties/reportdata, and subscribing the theme by the background server.
S202: the single chip microcomputer issues the defined JSON format data to the theme.
S203: and the background server receives the data and stores the data into the MongDB database.
S204: and the background server transmits the data to the digital twin management platform in real time by adopting an Http protocol.
The S3 digital twin model establishing method comprises the following steps:
s301: the geometric model of the power distribution switchgear, including but not limited to the dimensions of the length, width, height, etc., of the power distribution switchgear is established, which represents the shape, size and corresponding position relationship of the internal and external components of the power distribution switchgear. The geometric model of the power distribution switchgear can be established by using common three-dimensional modeling software such as Revit, catia, solidworks and the like.
S302: the physical model of the distribution switchgear is built, physical attributes such as strain, stress, damage and the like corresponding to the distribution switchgear entity are acquired, real-time mapping of the physical state of the distribution switchgear is realized, and the physical attributes are described by using finite element analysis software such as Ansys and Comsol.
S303: and establishing a behavior model of the power distribution switchgear, including action response of the power distribution switchgear to internal and external environments and system instructions, so that real-time mapping of operation actions of the power distribution switchgear is realized.
The step of displaying the state data of the power distribution switchgear on the digital twin management platform in the step S4 comprises the following steps:
s401: and the background server transmits the equipment operation data stored in the database to the digital twin management platform by an Http protocol.
S402: and the digital twin management platform processes and analyzes data, and displays the analysis result in a graph or table form. As shown in fig. 3.
And the modeling simulation module for the power distribution switchgear in the S5 comprises the steps of performing temperature field simulation, electric field simulation, magnetic field simulation and airflow field simulation on the power distribution switchgear, and simultaneously simulating the fault type and the protection scheme of the power distribution switchgear under the distributed energy access.
The temperature field simulation, the electric field simulation, the magnetic field simulation and the airflow field simulation of the power distribution switchgear comprise the following steps:
S501A: in S203, the background server respectively establishes different simulation database tables including a temperature field simulation data table, an electric field simulation data table, a magnetic field simulation data table, and an airflow field simulation data table.
S501B: a power distribution switchgear simulation model is built in simulation software comsol, the internal structure of the power distribution switchgear is complex, and therefore appropriate simplification analysis can be generally carried out on complex parts in the model building process.
S501C: and setting parameters. Parameters such as thermal conductivity, density, specific heat capacity, resistivity and emissivity of the simulation model are set in the comsol.
S501D: and (5) grid division. And the simulation model is subjected to grid division, so that the simulation accuracy is ensured.
S501E: the power distribution switchgear digital twin system simulation module comprises a temperature field simulation module, an electric field simulation module, a magnetic field simulation module and an airflow field simulation module. If the user enters the temperature field simulation module, real-time operation data required by temperature field simulation collected by the S1 data sensing layer is transmitted to a background through the transmission layer and stored in a temperature field simulation data table, and meanwhile, the data is locally backed up in a user computer.
S501F: in the simulation software comsol, when a user solves the simulation model, data in the temperature field simulation data table is used as an initial condition of model simulation, and the temperature of the power distribution switchgear in a future period of time is subjected to simulation prediction. The simulation result is stored to the local in a picture format.
S501G: and reading and displaying a local simulation result picture by the digital twin system of the power distribution switchgear. Fig. 4 shows results of the switchgear in the temperature field simulation module of the digital twin system of the power distribution switchgear, and the electric field simulation module, the magnetic field simulation module, and the airflow field simulation module are identical in process to the temperature field simulation module.
The simulation of the fault type and the protection scheme of the power distribution switchgear under the access of distributed energy comprises the following steps:
S502A: and a dual-power system is adopted, the three-phase currents collected by the current transformers on the two sides are subjected to difference processing, absolute values of all the difference values are obtained, and the largest phase is taken as an electric quantity to be compared with a set value.
S502B: when an out-of-area short circuit fault occurs, the working current or fault current flows through the current transformers on the two sides in the same direction, the absolute value of the difference value is very small and is far smaller than the setting value, and the breaker cannot act. The simulation was performed, and the result is shown in fig. 7.
S502C: when a short-circuit fault occurs in the area, the currents flowing through the current transformers on the two sides are in the opposite directions, the absolute value of the difference value is larger than the setting value, the current transformer is judged to be a fault point in the area, the circuit breakers on the two sides are disconnected, and signals are output to the automatic reclosing module. The simulation results are shown in fig. 9 and 10.
The diagnosis and prediction of the power distribution switchgear in the step S6 comprises the following steps:
s601: and monitoring the running state of the power distribution switchgear on the basis of real-time monitoring data and simulation calculation data on the basis of a digital twin model.
S602: and matching and comparing the real-time monitoring data and the simulation calculation data with the data in normal operation to judge the operation state of the power distribution switchgear, and carrying out fault monitoring and early warning on the power distribution switchgear according to the matching and comparing result.
The intelligent decision in the digital twin management platform in the S7 comprises the following steps:
s701: when the power distribution switch equipment breaks down, the digital twin management platform gives an alarm to remind maintenance personnel to overhaul and maintain the equipment.
S702: after the maintenance personnel finish maintaining, if the distribution switchgear has the change of the geometric dimension, the maintenance personnel inputs the change data in the digital twin management platform, and the digital twin model is automatically optimized, so that the digital twin model is consistent with the physical entity of the switchgear.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A digital twinning system diagnostic method suitable for an electrical distribution switchgear, comprising the steps of:
s1: data sensing is carried out by collecting state data of the power distribution switch equipment;
s2: transmitting the acquired state data of the power distribution switchgear to a digital twin management platform, so that a digital twin model can run synchronously with a physical entity;
s3: receiving operation data of equipment through a communication interface, and performing virtualization high real mapping on a physical model based on a virtual reality method;
s4: displaying the acquired state data of the power distribution switchgear in a digital twin management platform;
s5: carrying out modeling simulation on the power distribution switch equipment, calculating the distribution of a temperature field and an electric field of the equipment in different running states to form simulation calculation data, and fusing the simulation calculation data serving as a database with the digital twin model;
s6: comparing simulation calculation data based on real-time monitoring data of the power distribution switchgear, and performing diagnosis and prediction on the power distribution switchgear;
s7: and according to the diagnosis and prediction result, the digital twin management platform gives the optimal maintenance strategy to the power distribution switchgear.
2. The digital twinning system diagnostic method for an electrical distribution switchgear as claimed in claim 1, wherein: in step S1, acquiring status data of the power distribution switchgear, including the steps of:
s101: arranging sensors at each node of a power distribution switchgear entity, and acquiring operation data of the switchgear in real time;
s102: and defining the acquired data into data in a JSON format.
3. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 2, wherein: in the step S2, the step of transmitting the status data to the digital twin management platform includes the following steps:
s201: transmitting the sensor data to a background server by adopting an MQTT protocol; determining an MQTT theme, and subscribing the theme by a background server;
s202: the single chip microcomputer issues the defined JSON format data to the theme in S201;
s203: the background server receives the data and stores the data into a database;
s204: and the background server transmits the data to the digital twin management platform in real time by adopting an Http protocol.
4. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 3, wherein: the step S3 of establishing the digital twin model comprises the following steps:
s301: establishing a geometric model of the power distribution switchgear;
s302, establishing a physical model of the power distribution switchgear, and describing physical properties of the power distribution switchgear by using finite element analysis software;
s303: and establishing a behavior model of the power distribution switchgear to realize real-time mapping of the operation action of the power distribution switchgear.
5. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 4, wherein: the step S4 of displaying the state data of the power distribution switchgear on the digital twin management platform comprises the following steps:
s401: the background server transmits the equipment operation data stored in the database to a digital twin management platform by an Http protocol;
s402: and the digital twin management platform processes and analyzes data, and displays the analysis result in a graph or table form.
6. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 5, wherein: in the step S5, the modeling simulation of the power distribution switchgear includes temperature field simulation, electric field simulation, magnetic field simulation, airflow field simulation, and simulation of the fault type and the protection scheme under the access of the distributed energy.
7. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 6, wherein: the temperature field simulation, the electric field simulation, the magnetic field simulation and the airflow field simulation of the power distribution switchgear comprise the following steps:
S501A: in step S203, the background server respectively establishes different simulation database tables;
S501B: establishing a power distribution switchgear simulation model in simulation software;
S501C: setting parameters of thermal conductivity, density, specific heat capacity, resistivity and emissivity of the simulation model;
S501D: carrying out mesh division on the simulation model;
S501E: if the user carries out temperature field simulation, the step S1 collects real-time running data required by the temperature field simulation, transmits the real-time running data into a background through a transmission layer, stores the real-time running data into a temperature field simulation data table, and locally backs up the data in a user computer;
S501F: when a user solves the simulation model, the data in the temperature field simulation data table is used as a model simulation initial condition to carry out simulation prediction on the temperature of the power distribution switchgear for a period of time in the future, and the simulation result is stored to the local in a picture format;
S501G: and reading and displaying a local simulation result picture by the digital twin system of the power distribution switchgear.
8. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 6, wherein: the simulation of the fault type and the protection scheme of the power distribution switchgear under the access of distributed energy comprises the following steps:
S502A: adopting a dual-power system, carrying out difference processing on three-phase currents collected by current transformers on two sides, taking absolute values of all phase differences, and taking the largest phase as an electric quantity to be compared with a set value;
S502B: when an out-of-range short circuit fault occurs, the working current or fault current flows through the current transformers on the two sides in the same direction, the absolute value of the difference value is very small and is far smaller than the setting value, and the breaker cannot act;
S502C: when a short-circuit fault occurs in the area, the currents flowing through the current transformers on the two sides are in the opposite directions, the absolute value of the difference value is larger than the setting value, the current transformer is judged to be a fault point in the area, the circuit breakers on the two sides are disconnected, and signals are output to the automatic reclosing module.
9. The digital twinning system diagnostic method for an electrical distribution switchgear as claimed in claim 7 or 8, wherein: the step S6 of predicting the diagnosis of the distribution switchgear includes the steps of:
s601: monitoring the running state of the power distribution switchgear on a digital twin model based on real-time monitoring data and simulation calculation data;
s602: and matching and comparing the real-time monitoring data and the simulation calculation data with the data in normal operation to judge the operation state of the power distribution switchgear, and carrying out fault monitoring and early warning on the power distribution switchgear according to the matching and comparing result.
10. The digital twinning system diagnostic method for electrical distribution switchgear as claimed in claim 9, wherein: the intelligent decision in the digital twin management platform in the step S7 includes the following steps:
s701: when the power distribution switch equipment fails, the digital twin management platform gives an alarm to remind maintenance personnel to overhaul and maintain the equipment;
s702: after maintenance personnel maintain, if the power distribution switch equipment changes in geometric dimension, the maintenance personnel input change data on the digital twin management platform, and the digital twin model is automatically optimized to keep the digital twin model consistent with the physical entity of the equipment.
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| CN111857065A (en) * | 2020-06-08 | 2020-10-30 | 北京邮电大学 | Intelligent production system and method based on edge calculation and digital twinning |
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| CN111857065A (en) * | 2020-06-08 | 2020-10-30 | 北京邮电大学 | Intelligent production system and method based on edge calculation and digital twinning |
| US11176290B1 (en) * | 2020-12-21 | 2021-11-16 | Guangdong University Of Technology | Approximate physical simulation integrated debugging method and system based on digital twinning |
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