Power distribution network graph-model linkage simulation system based on digital twinning and control method thereof

Abstract

The invention relates to a power distribution network graph-model linkage simulation system based on digital twinning and a control method thereof. A user access carrier is used for sending a simulation request to a twinning power grid and / or sending a graph-model request to an electrical graph-model service body; the twin power grid is used for sending a simulation request to the base service body when receiving the simulation request and feeding back a simulation result to the user access carrier; the base service body is used for performing simulation by utilizing preset simulation data to obtain a simulation result when the simulation request is received, and feeding back the simulation result to the twin power grid; and the electrical graph model service body is used for combining preset power distribution network data with a preset model resolving body to obtain a power distribution network graph model when receiving the graph model request, and feeding back the power distribution network graph model to the user access carrier. According to the invention, a stable and highly extensible simulation calculation system is established, the real-time simulation calculation capability and large-scale accurate data processing are improved, and the graph-model linkage of the power distribution network is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network operation analysis, and specifically relates to a distribution network graph-model linkage simulation system based on digital twins and a control method thereof. Background Art

[0002] As a key link between the power system and users, the safe and reliable operation of the distribution network is becoming increasingly important. In order to ensure the stability of the distribution network operation, the distribution network simulation technology came into being. However, the existing distribution network simulation technology has not been able to solve the uncertainty problems well, such as new power systems and the access of a large number of distributed power sources. Therefore, how to improve the distribution network simulation capabilities is crucial to the efficient operation of the distribution network.

[0003] With the rapid development of digital technology and the growth of electricity demand, the existing distribution network simulation technology has been greatly impacted. The existing distribution network simulation methods are still unable to accurately simulate the complex functions and control strategies in the power grid. The simulation results are difficult to accurately reflect the actual situation and have many limitations. In order to solve the impact of real-time dynamic data or other factors on the distribution network simulation results, most of the existing distribution network simulation methods use the modeling and simulation of the grid structure, load and other factors of the distribution network offline data, and combine the analysis of the online real-time monitoring data of the distribution network to reflect the actual operation status of the power grid, so as to quickly respond to grid changes and prevent and handle grid failures. It has indeed improved the quality of the distribution network simulation results and the distribution network operation efficiency. However, this method has the following shortcomings: (1) The model is established and verified through real-time and historical data, but it is not easy to obtain high-quality data in practice. The accuracy and completeness of the data have high requirements for the accuracy of the simulation results. Due to external factors, there may be errors and omissions in the data collection process, which may lead to inaccurate distribution network simulation results; (2) Establishing a model that conforms to the actual power grid requires considering the influence of various actual parameters and factors. It is complicated to specify the complexity of the model and select the parameters of the model; (3) Fault simulation is subject to the limitations of the actual system and safety restrictions. It is impossible to consider a variety of conditions for comprehensive analysis, resulting in the simulation results cannot fully reflect the actual situation. Summary of the invention

[0004] In order to overcome the problems existing in the above-mentioned related technologies, the present application provides a distribution network graph-model linkage simulation system based on digital twin and its control method.

[0005] According to a first aspect of an embodiment of the present application, there is provided a distribution network graph-model linkage simulation system based on digital twins, comprising: a user access carrier, a twin power grid, a base service body, and an electrical graph-model service body;

[0006] The user access carrier is used to send a simulation request to the twin power grid and / or send a diagram model request to the electrical diagram model server, and receive simulation results fed back by the twin power grid and / or receive a distribution network diagram model fed back by the electrical diagram model server;

[0007] The twin power grid is used to send the simulation request to the base service body when receiving the simulation request, and feed back the received simulation result to the user access carrier;

[0008] The base service body is used for, when receiving the simulation request, performing simulation using preset simulation data to obtain simulation results, and feeding back the simulation results to the twin power grid;

[0009] The electrical graph model service body is used to combine the preset distribution network data and the preset model solution body to obtain the distribution network graph model when receiving the graph model request, and feed back the distribution network graph model to the user access carrier.

[0010] Preferably, it also includes: an online data set carrier, an offline data set carrier, a real-time twin data set and a historical twin data set;

[0011] The online data set carrier is used to collect the twin operation data of the physical power grid and the data of each twin status of the physical power grid in real time through the monitoring device, construct an online data set using the twin operation data of the physical power grid and the data of each twin status of the physical power grid, and send the online data set to the offline data set carrier;

[0012] The offline data set carrier is used to use a timing function to store the online data set according to type and time to obtain an offline data set, and use the offline data set to provide operation data for the algorithm service body.

[0013] The real-time twin data set is used to collect the operating data of the twin power grid in real time, obtain the real-time twin data set, and send the real-time twin data set to the online data set carrier and the historical twin data set for storage respectively;

[0014] The historical twin data set is used to classify and store the real-time twin data set to obtain a historical twin data set, and send the historical twin data set to the offline data set carrier for storage.

[0015] Preferably, it also includes:

[0016] A twin data body, for, when receiving a simulation request, selecting data corresponding to the simulation request from the real-time twin data aggregate, obtaining preset simulation data, and sending the preset simulation data to the twin power grid;

[0017] The twin power grid is also used to send the simulation request to the twin data body, and when receiving the preset simulation data, send the preset simulation data to the base service body.

[0018] Preferably, the twin power grid is also used for:

[0019] Based on three-dimensional graphic modeling technology, the data body in the historical twin data set is used to map the physical power grid model structure to obtain the model solution body.

[0020] Preferably, the base service body includes: an algorithm service body and a simulation service body;

[0021] The algorithm service body is used to provide algorithm support for the simulation service body;

[0022] The simulation service body is used to select an algorithm corresponding to the simulation request from the algorithm service body according to the simulation request, and use the algorithm corresponding to the simulation request to simulate the preset simulation data to obtain a simulation result, and send the simulation result to the twin power grid.

[0023] Preferably, the electrical diagram service body is specifically used for:

[0024] When the diagram model request is received, a model settlement body corresponding to the diagram model request is selected from the twin power grid, and the model settlement body corresponding to the diagram model request is mapped to generate an electrical diagram;

[0025] Selecting data corresponding to the model request from the online data set carrier and the offline data set carrier to obtain the preset power distribution network data;

[0026] The preset distribution network data is used to combine the electrical diagram and the model settlement body corresponding to the diagram model request to generate the distribution network diagram model.

[0027] Preferably, it also includes: an interface service body and a supporting scene service body;

[0028] The interface service body is used to provide a unified data interaction interface for the user service carrier to enable data interaction between the user service carrier and the supporting scenario service body;

[0029] The supporting scenario service body is used to support data interaction between the user access carrier and the twin power grid.

[0030] Preferably, it also includes:

[0031] The twin scene body is used to simulate the three-dimensional distribution network scene based on the twin power grid technology using the model solution body.

[0032] Preferably, the twin power grid is constructed using the three-dimensional distribution network scenario.

[0033] According to a second aspect of an embodiment of the present application, a control method for a distribution network graph-model linkage simulation system based on digital twin is provided, comprising:

[0034] When the twin power grid receives a simulation request sent by the user access carrier, it sends the simulation request to the base service body;

[0035] When the base service body receives the simulation request, it performs simulation using preset simulation data to obtain simulation results, and feeds the simulation results back to the twin power grid, so that the twin power grid feeds the simulation results back to the user access carrier;

[0036] When the electrical diagram service receives the diagram request sent by the user access carrier, it combines the preset distribution network data with the preset model solver to obtain the distribution network diagram, and feeds the distribution network diagram back to the user access carrier.

[0037] Preferably, it also includes:

[0038] Using an online data set carrier to collect twin operation data of a physical power grid and data of each twin status of the physical power grid in real time through a monitoring device, using the twin operation data of the physical power grid and data of each twin status of the physical power grid to construct an online data set, and sending the online data set to an offline data set carrier;

[0039] Using an offline data set carrier and a timing function, the online data set is stored according to type and time to obtain an offline data set, and the offline data set is used to provide operation data for the algorithm service body;

[0040] Using the operation data of the twin power grid collected in real time by the real-time twin data set, a real-time twin data set is obtained, and the real-time twin data set is sent to the online data set carrier and the historical twin data set for storage respectively;

[0041] The real-time twin data set is classified and stored using the historical twin data set to obtain a historical twin data set, and the historical twin data set is sent to an offline data set carrier for storage.

[0042] Preferably, it also includes:

[0043] Using the twin power grid to send the simulation request to the twin data body;

[0044] When the twin data body receives a simulation request, it selects data corresponding to the simulation request from the real-time twin data collection to obtain preset simulation data, and sends the preset simulation data to the twin power grid, so that the twin power grid sends the preset simulation data to the base service body.

[0045] Preferably, the process of obtaining the model solution body includes:

[0046] The twin power grid is based on three-dimensional graphics modeling technology, and the data body in the historical twin data set is used to map the physical power grid model structure to obtain the model solution body.

[0047] Preferably, when the base server receives the simulation request, it performs simulation using preset simulation data to obtain a simulation result, including:

[0048] The simulation service body selects an algorithm corresponding to the simulation request from the algorithm service body according to the simulation request, and uses the algorithm corresponding to the simulation request to simulate the preset simulation data to obtain a simulation result, and sends the simulation result to the twin power grid.

[0049] Preferably, when the electrical diagram model service receives the diagram model request sent by the user access carrier, the preset distribution network data and the preset model solver are combined to obtain the distribution network diagram model, including:

[0050] When the diagram model request is received, a model settlement body corresponding to the diagram model request is selected from the twin power grid, and the model settlement body corresponding to the diagram model request is mapped to generate an electrical diagram;

[0051] Selecting data corresponding to the model request from the online data set carrier and the offline data set carrier to obtain the preset power distribution network data;

[0052] The preset distribution network data is used to combine the electrical diagram and the model settlement body corresponding to the diagram model request to generate the distribution network diagram model.

[0053] Preferably, it also includes: using the interface service body to provide a unified data interaction interface for the user service carrier, so as to enable data interaction between the user service carrier and the supporting scenario service body;

[0054] The supporting scenario service body is used to support the data interaction between the user access carrier and the twin power grid.

[0055] Preferably, it also includes:

[0056] The twin scene body is based on the twin power grid technology, and the model solution body is used to simulate the three-dimensional distribution network scene.

[0057] Preferably, the twin power grid is constructed using the three-dimensional distribution network scenario.

[0058] According to a third aspect of an embodiment of the present application, there is provided an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0059] The memory is used to store one or more programs;

[0060] When the one or more programs are executed by the at least one processor, the control method of the distribution network graphic-model linkage simulation system based on digital twin is implemented.

[0061] According to a fourth aspect of an embodiment of the present application, a readable storage medium is provided, on which an execution program is stored. When the execution program is executed, the control method of the distribution network graphic-model linkage simulation system based on digital twin is implemented.

[0062] The technical solution provided by the present invention has the following beneficial effects:

[0063] The present invention provides a distribution network graph-model linkage simulation system based on digital twin and a control method thereof, comprising: a user access carrier, used to send a simulation request to a twin power grid and / or send a graph-model request to an electrical graph-model service body, and receive a simulation result fed back by the twin power grid and / or receive a distribution network graph-model fed back by the electrical graph-model service body; a twin power grid, used to send a simulation request to a base service body when receiving a simulation request, and feed back the received simulation result to the user access carrier; a base service body, used to simulate using preset simulation data when receiving a simulation request, obtain a simulation result, and feed back the simulation result to the twin power grid; an electrical graph-model service body, used to combine preset distribution network data with a preset model solver when receiving a graph-model request, obtain a distribution network graph-model, and feed back the distribution network graph-model to the user access carrier. The present invention establishes a stable and highly scalable computing system by using digital twin technology, improves real-time simulation computing capability and large-scale accurate data processing, improves the reliability and efficiency of distribution network simulation, and improves the linkage of distribution network graph-model. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 It is a structural block diagram of a distribution network graph-model linkage simulation system based on digital twins provided by an embodiment of the present invention;

[0066] Figure 2 It is a schematic diagram of the working process of the distribution network digital twin image-model linkage simulation system provided by an embodiment of the present invention;

[0067] Figure 3 It is a schematic diagram of the simulation input / output process of the distribution network digital twin image-model linkage simulation system provided by an embodiment of the present invention;

[0068] Figure 4 It is a schematic diagram of the composition of the data set of the distribution network digital twin image-model linkage simulation system provided by an embodiment of the present invention;

[0069] Figure 5 It is a flow chart of a control method of a distribution network graph-model linkage simulation system based on digital twins provided by an embodiment of the present invention;

[0070] Figure 6 It is a structural block diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0071] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the following embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Embodiment 1

[0073] The present invention provides a distribution network diagram-model linkage simulation system based on digital twins, such as Figure 1 As shown, it includes: user access carrier, twin power grid, base service body and electrical diagram service body;

[0074] A user access carrier is used to send a simulation request to the twin power grid and / or a diagram model request to the electrical diagram model service body, and to receive simulation results fed back by the twin power grid and / or receive a distribution network diagram model fed back by the electrical diagram model service body;

[0075] The twin power grid is used to send the simulation request to the base service body when receiving the simulation request, and to feed back the received simulation result to the user access carrier;

[0076] The base service body is used to perform simulation using preset simulation data when receiving a simulation request, obtain simulation results, and feed back the simulation results to the twin power grid;

[0077] The electrical diagram service body is used to combine the preset distribution network data and the preset model solution body to obtain the distribution network diagram when receiving the diagram request, and feed back the distribution network diagram to the user access carrier.

[0078] The present invention establishes a stable and highly scalable computing system by using a distribution network graph-model linkage simulation system based on digital twins, improves real-time simulation computing capabilities and large-scale accurate data processing, and improves the graph-model linkage of the distribution network; the system realizes the effective merging of offline data, online data and twin models with real-time twin data sets and historical twin data sets, and provides a system for efficient simulation of distribution networks.

[0079] Furthermore, the user access carrier is also used to send simulation and calculation requests to the base service body through the interface service body and the supporting scenario service body, and when receiving the power flow results and solution strategies, use the power flow calculation results to verify the real-time monitoring telemetry data. At the same time, in special distribution network scenarios, it provides an effective operation and maintenance strategy for the architecture to facilitate the implementation of the solution;

[0080] The supporting scenario service body sends fault state and normal state distribution network simulation requests to the base service body. When receiving the fault state simulation request, the fault state flow results are used to verify the offline simulation results, and the cause of the fault is analyzed in combination with the real-time monitoring results.

[0081] Furthermore, the base service body is also used for receiving requests in two modes. When receiving a request from the electrical model service body, verification / offline simulation processing is performed to obtain the simulation results of the historical data set, and the simulation results are sent to the user access carrier through the interface service body and the supporting scenario service body; when receiving a twin power grid request, monitoring / online simulation processing is performed to obtain the real-time data set flow results, and the flow results are sent to the user access carrier through the interface service body.

[0082] In some embodiments, the user access carrier uses HTTP (Hypertext Transfer Protocol) in the browser to interact with the base service body and obtain the interaction results returned by the base service body; usually initiates a request to the system, inputs parameters and parameter settings, and receives and displays the results returned by the system. In the scenario of power system simulation, the user access carrier can be used to set various parameters of the simulation model, including power grid topology, equipment parameters, load conditions, etc. At the same time, the user access carrier can also be used to display simulation results, including the voltage, current, and power of each node in the power grid.

[0083] It should be noted that if Figure 2 As shown in the figure, the base service body carries the offline / online integrated simulation service of the distribution network. However, the offline / online integrated simulation service of the distribution network should be split into two service bodies: the simulation service body and the algorithm service body. The simulation service body is the core of the simulation calculation, including the establishment of the power system model, processing input data, running the simulation algorithm and other functions; the offline simulation service performs system planning, equipment configuration and other tasks, while the online simulation service can monitor the operation status of the power grid in real time, predict the operation status and fault diagnosis, etc. This requires efficient simulation algorithms and stable simulation to ensure accurate and reliable simulation of the operation of the distribution network.

[0084] In some embodiments, the base service body is also used for offline parameter processing of the distribution network (for example, offline parameters of the distribution network include: the length of the distribution line, transient resistance, reactance value; rated capacity, rated voltage, transformation ratio and loss value of the transformer; rated current and closing state of the switch; capacity value and power factor of the load, and capacity value and voltage of the substation, etc.). By inputting the offline parameters of the distribution network of the electrical equipment in the electrical diagram service body, the data is stored in the database, and then the corresponding algorithm service body (including risk prevention algorithm, fault simulation algorithm, etc.) is referenced to set a real-time or manual setting to perform a time step operation on the offline parameters of the distribution network to achieve the simulation of transient, steady-state and medium- and long-term dynamic scenarios of risks, faults, and power quality. When the multi-state simulation model completes the operation of a time step in a steady-state or dynamic model, all operating parameters are updated with the operation results within the step. In this operation process, the model combination r, the resolution r% of the equipment model, the time t and the state transition R selected for the distribution network simulation are all known and determined parameters. The parameters for obtaining the calculation results include: the simulation cumulative error value of the state transition process, the calculated value of the state transition iterative calculation, the minimum value of the calculated value of the state transition iterative calculation, and the time difference of the state transition process. At the same time, it is determined whether the operation process has reached the preset simulation time: if it has reached the preset time, the simulation is terminated; if it has not reached the preset time, the system operation status is determined again to determine the operation status of the system in the next long operation, and the calculation formula with the goal of minimizing the simulation cumulative error and simulation time is as follows:

[0085]

[0086] In the above formula, F is the model optimization target, r is the model combination selected for distribution network simulation, and R i,j For status Transition to state process, is the initial state of the grid operation process (including normal initial state or fault initial state, etc.), is the state of the grid after simulation calculation, Δf(r,R i,j ) is the state when the model combination is r Transition to state The simulation cumulative error of the process, Δt(r,R i,j ) is the state when the model combination is r Transition to state The simulation time of the process is f k (r,R i,j ) is the state when the model combination is r Transition to state The calculated value of the kth iteration of the process, f k-1 (r,R i,j ) is the state when the model combination is r Transition to state The calculated value of the process at the k-1th iteration, t z (r,R i,j ) is the state when the model combination is r Transition to state The end time of a simulation calculation of the process, t s (r,R i,j ) is the state when the model combination is r Transition to state The simulation start time of the process; l∈[1,n], n is the total number of device models; r 1 % is the resolution of the first device model, r 2 % is the resolution of the second device model, r l % is the resolution of the lth device model, r n % is the resolution of the nth device model.

[0087] Furthermore, the system further includes: an online data set carrier, an offline data set carrier, a real-time twin data set, and a historical twin data set;

[0088] An online data collection carrier is used to collect the twin operation data of the physical power grid and the data of each twin status of the physical power grid in real time through a monitoring device, construct an online data collection using the twin operation data of the physical power grid and the data of each twin status of the physical power grid, and send the online data collection to an offline data collection carrier;

[0089] The offline data set carrier is used to use the timing function to store the online data set according to type and time to obtain the offline data set, and use the offline data set to provide operation data for the algorithm service body

[0090] A real-time twin data set is used to collect the operating data of the twin power grid in real time, obtain the real-time twin data set, and send the real-time twin data set to the online data set carrier and the historical twin data set for storage;

[0091] The historical twin data set is used to classify and store the real-time twin data set to obtain the historical twin data set, and send the historical twin data set to the offline data set carrier for storage.

[0092] It can be understood that the physical power grid is the distribution network.

[0093] The present invention realizes the use of digital twin prediction capabilities to fill in the missing data by constructing an offline data set carrier and a historical twin data set, thereby improving the integrity of the data. That is, when the real-time data in the online data set carrier and the real-time twin data set is unavailable or missing, the distribution network digital twin model is based on the data in the offline data set carrier and the historical twin data set, and estimates the missing data by predictive simulation, and uses it as input for simulation. In this way, even if the data is incomplete, simulation experiments can still be carried out and accurate simulation results can be obtained. At the same time, in order to improve the data correction function of the distribution network model, the present invention can compare and adjust the actual monitored data with the simulated data to improve the accuracy of the data. By comparing with the actual operating conditions, the model parameters and algorithms can be continuously optimized so that the model reflects the actual situation more accurately.

[0094] It is understandable that the online data collection carrier can perform real-time analysis of the distribution network operation status in each period and each section through monitoring devices such as online monitoring devices and online condition monitoring devices. The online data collection carrier can also be an offline data collection carrier, which can provide more accurate simulation and calculation services for historical data of different periods and all operating data.

[0095] The online data collection carrier processes and organizes the twin operation data of the physical power grid recorded by the online monitoring device and the twin different status data of the physical power grid recorded by the online condition monitoring device into data collections at high speed, and stores the data collections according to specific rules, such as relational table structure data storage, to provide a data basis and analysis algorithm result proof for the algorithm service body.

[0096] In some embodiments, the online monitoring device synchronizes the twin operation data of the physical power grid to the system database, and stores the real-time data of each device in an orderly manner in the form of data with equal step size or equal granularity. The online operating condition monitoring device is a device used for the twin model of the physical power grid to collect different status data and real-time operating status data during operation, such as a smart energy meter, which is used to monitor the power usage, power factor, voltage and current data in real time; a remote terminal unit (RTU), which is used to monitor the equipment status and real-time data in the power grid, including the switch status, temperature, humidity, voltage, current and other parameters of the line, etc., and can use the DA method to store different operating conditions in the form of data in a database classified by the type of distribution network equipment.

[0097] The offline data collection carrier uses timing functions and other methods to store the massive operating data in the online data collection carrier by category and time, and then optimizes the offline data to form an offline data collection to provide operation data for the algorithm service body.

[0098] The real-time twin data aggregate synchronizes and updates the operating data of the twin power grid to the device of the online data aggregate carrier in real time, and uses specific protocols, such as TCP / IP protocol, 104 protocol, etc., to process and transmit the real-time data, and then stores the real-time twin data aggregate in a targeted manner through the online data aggregate, thereby realizing equivalent processing of the real-time twin data aggregate and the online data aggregate, and being able to manage the real-time data aggregate and the online data aggregate together in the service where the base service body is located, so as to facilitate the provision of operation calculations.

[0099] The historical twin data set classifies and stores the operating data of the twin power grid into a historical twin data set. At the same time, the historical twin data set is also an offline data set. The two are merged through a shared database method to support a more accurate data set. The offline data set carrier carrying historical twin data can also be used for typical calculations such as faults, risks, and reliability of twin scenarios in distribution network operation.

[0100] Furthermore, the system further includes:

[0101] The twin data body is used to select data corresponding to the simulation request from the real-time twin data aggregate when a simulation request is received, obtain preset simulation data, and send the preset simulation data to the twin power grid;

[0102] The twin power grid is also used to send simulation requests to the twin data body, and when receiving preset simulation data, send the preset simulation data to the base service body.

[0103] The present invention provides input parameters for simulation calculation by screening twin data bodies, thereby improving simulation efficiency.

[0104] Furthermore, the twin power grid is also used for:

[0105] Based on 3D graphic modeling technology, the data volume in the historical twin data set is used to map the physical power grid model structure to obtain the model solution volume.

[0106] In some embodiments, the twin power grid maps the physical power grid model structure through real-time data acquisition equipment or aerial photography equipment to obtain the model solution body in real time. The model solution body is combined with a synchronized electrical diagram service body, and the electrical diagram service body corresponds one-to-one with all equipment and parameter attributes in the model solution body.

[0107] The present invention simulates the three-dimensional distribution network scene through the model settlement body, can intuitively monitor the online real-time operation of the distribution network, and generate information other than real-time online calculation results, such as electrical equipment aging, icing, tower tilt and other information.

[0108] Furthermore, the base service body includes: an algorithm service body and a simulation service body;

[0109] Algorithm service body, used to provide algorithm support for simulation service body;

[0110] The simulation service body is used to select an algorithm corresponding to the simulation request from the algorithm service body according to the simulation request, and use the algorithm corresponding to the simulation request to simulate the preset simulation data to obtain the simulation result, and send the simulation result to the twin power grid.

[0111] It can be understood that the algorithm service body is a module that provides algorithm support for the simulation service body. It includes various distribution network simulation algorithms, optimization algorithms, and fault diagnosis algorithms, and mostly uses the Newton-Raphson power flow algorithm. This module needs to be able to analyze and process a large amount of data from the power system and provide corresponding simulation analysis or optimization suggestions based on demand. The algorithm service body needs to continuously update and optimize the algorithm to improve the accuracy and efficiency of simulation and analysis.

[0112] The algorithm service body and the simulation service body are combined to quickly transmit the calculation results to the user service, serving as the return results of the base service body, and the algorithm service body includes numerical integration algorithms for large differential algebraic equations, solution algorithms for large linear sparse equations, solution methods for large nonlinear equations, differential equation solution methods, and matrix addition, subtraction, multiplication and division, for example, Newton's method power flow calculation, AC / DC mixed power flow calculation, one-way ground short-circuit fault calculation method, short-line simulation calculation method, sequential Monte Carlo reliability algorithm, and reactive power optimization method.

[0113] The present invention performs polymorphic simulation of the distribution network according to real-time twin data set data and historical twin data set data through a simulation service body to obtain online real-time simulation results and offline historical simulation results.

[0114] Furthermore, the electrical diagram service body is specifically used for:

[0115] When a diagram model request is received, a model settlement body corresponding to the diagram model request is selected from the twin power grid, and the model settlement body corresponding to the diagram model request is mapped to generate an electrical diagram;

[0116] Selecting data corresponding to the model request from the online data set carrier and the offline data set carrier to obtain preset distribution network data;

[0117] Using the preset distribution network data, the electrical diagram and the model settlement body corresponding to the diagram model request are combined to generate a distribution network diagram model.

[0118] It can be understood that the electrical diagram service body generates electrical diagrams by mapping the physical power grid model settlement body, and uses the data in the online data set carrier and the offline data set carrier to combine the electrical diagrams and models to provide diagram services for the twin power grid, which is used for the simulation of the operating and non-operating states of the twin power grid.

[0119] Furthermore, the system further includes: an interface service body and a supporting scenario service body;

[0120] The interface service body is used to provide a unified data interaction interface for the user service carrier to enable data interaction between the user service carrier and the supporting scenario service body;

[0121] Support scenario service body, used to support data interaction between user access carrier and twin power grid.

[0122] It should be noted that the interface service body and the supporting scenario service body are independent of the base service body and the twin power grid. They are the bridge between the algorithm service body and the user access carrier, providing the user access carrier with steady-state and transient calculation results from the algorithm service body, and providing a real-time and scalable algorithm interaction method by connecting the distribution network digital twin model and the distribution network system. The interface service supports simulation and optimization algorithms, simulates and analyzes the distribution network system, and can also transmit the signals sent from the user access carrier to the algorithm service body.

[0123] In some embodiments, the functions of the supporting scenario service body include: flow calculation service body, fault diagnosis service body, optimization control calculation service body, risk prevention service body, and power supply restoration service body, which provide calculation results from the algorithm service body for special twin scenarios, and also provide calculation results from the simulation service body for user access carriers, and also react to the twin scenario body.

[0124] For example, the user service carrier accesses the interface service body, and the interface service body then sends a request to the supporting scenario service body; after receiving the request, the twin power grid performs distribution network simulation calculations on the twin data by reading the simulation service body of the algorithm service body in the base service body, such as Figure 3 As shown, the simulation result is obtained, the base service body returns the simulation result to the twin power grid, and the twin power grid returns the simulation result to the user access carrier;

[0125] The user service carrier accesses the supporting scenario service body through the interface service body, and the supporting scenario service body then accesses the algorithm service body in the base service through the twin power grid. Based on the algorithm in the algorithm service body, the online data set carrier and the offline data set carrier are used to perform corresponding calculations on the historical twin data set and the real-time twin data set, such as Figure 4 As shown, the special scenario and normal scenario of the twin scenario are reflected, and the special scenario and the normal scenario constitute a twin power grid, and the twin power grid verifies the electrical diagram model service.

[0126] Furthermore, the system further includes:

[0127] The twin scene body is used to simulate the three-dimensional distribution network scene based on the twin power grid technology using the model solution body.

[0128] Specifically, the twin power grid is constructed using a three-dimensional distribution network scenario.

[0129] It should be noted that the present invention introduces distribution network digital twin technology based on the existing distribution network simulation technology, uses real-time data and historical data to establish an initial model, i.e., a model solution body, and then updates it in real time according to actual operating conditions and feedback information, thereby improving the ability of the distribution network digital twin model to be continuously corrected and calibrated during operation to adapt to changes in the real environment even if the initial data is not accurate or complete.

[0130] In some embodiments, the twin scenario body is a specific scenario of the physical power grid mapping, including special twin scenarios and normal twin scenarios. During the simulation process, various distribution operation scenarios can be simulated to provide multiple calculation examples for the simulation calculations in the simulation service body, and use the interface service body and the supporting scenario service body to call the algorithm service body and the simulation service body to feedback on the user access carrier.

[0131] Special twin scenarios and normal twin scenarios are different conditions that occur in the operation of the distribution network. Using twin grid technology, various equipment, lines, loads, etc. of the distribution network are digitally modeled and simulated to achieve real-time monitoring and optimization of the actual distribution network. Through the interaction of digital models, information such as power load, current waveform, and equipment status can be verified to predict potential problems. Combined with online monitoring devices and online condition monitoring devices, a real-time twin data collection of special twin scenarios is formed.

[0132] Digital twin technology can not only achieve accurate modeling of the distribution network, including grid components, equipment, topology, and operating parameters, but also can dynamically simulate the operating status of the distribution network in real time by collecting sensor data from the distribution network in real time and comparing it with the digital twin model. This makes the simulation results more accurate, can accurately simulate the actual operating conditions, and provide a reliable basis for decision-making.

[0133] Therefore, the present invention introduces a digital twin modeling method to promote the transformation of the distribution network from "passive" to "active". The distribution network uses new simulation methods and technologies to reverse the development and progress of distribution network simulation technology. At the same time, a more accurate distribution network simulation model is established to simulate the operating status of the distribution network, quickly respond to real-time changes in different time periods and under different loads, and perform more sophisticated and efficient simulation debugging.

[0134] The present invention proposes a distribution network graph-model linkage simulation system based on digital twins, which, together with the real-time twin data set and the historical twin data set, realizes the effective integration of offline and online data and twin models, and establishes a stable and highly scalable computing platform to support large-scale precise data processing and real-time simulation calculations.

[0135] In view of the shortcomings of the existing distribution network simulation methods, as well as the high requirements for data accuracy, integrity, complexity and the influence of external factors in the modeling process, the present invention combines the existing distribution network simulation methods with digital twin technology to construct a distribution network graph-model linkage simulation system based on digital twins, and its effects are as follows:

[0136] (1) The distribution network digital twin technology is used to match the topology, equipment parameters and operating status data of the real distribution network with its simulation model, achieving highly accurate simulation description and operation simulation.

[0137] (2) Through the twin real distribution network system data, it helps to dynamically and real-time analyze and evaluate the current load, voltage stability and transmission loss characteristics of the real distribution network, accurately identify and analyze potential fault points, predict the possibility and impact of faults, and take timely preventive measures, which directly affects the economic efficiency of distribution network operation.

[0138] (3) The digital twin of the distribution network is combined with the simulation model to conduct simulation experiments in different scenarios, simulate the operation status of the distribution network in real time, perfectly simulate various complex situations in the real power grid and provide high-precision simulation results. In this way, the configuration of the distribution network, the equipment installation location, and the load management strategy are optimized, and the reliability and efficiency of the distribution network simulation are improved.

[0139] Embodiment 2

[0140] The present invention provides a control method for a distribution network diagram-model linkage simulation system based on digital twins, such as Figure 5 As shown, including:

[0141] Step 101: When the twin power grid receives a simulation request sent by a user access carrier, the simulation request is sent to a base service body;

[0142] Step 102: When the base service body receives the simulation request, it performs simulation using preset simulation data and sends the simulation result to the twin power grid, so that the twin power grid feeds back the simulation result to the user access carrier;

[0143] Step 103: When the electrical diagram model service receives the diagram model request sent by the user access carrier, it combines the preset distribution network data with the preset model solver to obtain the distribution network diagram model, and feeds back the distribution network diagram model to the user access carrier.

[0144] Furthermore, the method further includes:

[0145] Using an online data collection carrier to collect twin operation data of the physical power grid and data of each twin status of the physical power grid in real time through a monitoring device, using the twin operation data of the physical power grid and data of each twin status of the physical power grid to construct an online data collection, and sending the online data collection to an offline data collection carrier;

[0146] Using the offline data set carrier and the timing function, the online data set is stored according to the type and time to obtain the offline data set, and the offline data set is used to provide operation data for the algorithm service body;

[0147] Using the operation data of the twin power grid collected in real time by the real-time twin data set, a real-time twin data set is obtained, and the real-time twin data set is sent to the online data set carrier and the historical twin data set for storage;

[0148] The real-time twin data set is classified and stored using the historical twin data set to obtain the historical twin data set, and the historical twin data set is sent to the offline data set carrier for storage.

[0149] Furthermore, the method further includes:

[0150] Using the twin power grid, simulation requests are sent to the twin data volume;

[0151] When the twin data body receives a simulation request, it selects data corresponding to the simulation request from the real-time twin data collection, obtains preset simulation data, and sends the preset simulation data to the twin power grid, so that the twin power grid sends the preset simulation data to the base service body.

[0152] Furthermore, the process of obtaining the model solution body includes:

[0153] The twin power grid is based on three-dimensional graphics modeling technology, and the data body in the historical twin data collection is used to map the physical power grid model structure to obtain the model solution body.

[0154] Further, step 102 includes:

[0155] The simulation service body selects the algorithm corresponding to the simulation request from the algorithm service body according to the simulation request, and uses the algorithm corresponding to the simulation request to simulate the preset simulation data to obtain the simulation result, and sends the simulation result to the twin power grid.

[0156] Further, step 103 includes:

[0157] Step 1031: when a diagram model request is received, a model settlement body corresponding to the diagram model request is selected from the twin power grid, and the model settlement body corresponding to the diagram model request is mapped to generate an electrical diagram;

[0158] Step 1032: Select data corresponding to the model request from the online data set carrier and the offline data set carrier to obtain preset power distribution network data;

[0159] Step 1033: Using the preset distribution network data, the electrical diagram and the model settlement body corresponding to the diagram model request are combined to generate a distribution network diagram model.

[0160] Furthermore, the method further includes:

[0161] The interface service body is used to provide a unified data interaction interface for the user service carrier, so as to enable data interaction between the user service carrier and the supporting scenario service body;

[0162] The supporting scenario service body is used to support the data interaction between the user access carrier and the twin power grid.

[0163] Furthermore, the method further includes:

[0164] The twin scene body is based on the twin power grid technology, and the model solution body is used to simulate the three-dimensional distribution network scene.

[0165] Furthermore, the twin grid is constructed using a three-dimensional distribution network scenario.

[0166] It can be understood that the system embodiment provided above corresponds to the method embodiment described above, and the corresponding specific contents can be referenced to each other and will not be repeated here.

[0167] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0168] Embodiment 3

[0169] like Figure 6 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0170] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the storage medium to implement the corresponding method flow or corresponding functions, so as to realize the steps of a control method of a distribution network graph-model linkage simulation system based on digital twins in the above-mentioned embodiment.

[0171] Embodiment 4

[0172] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It can be understood that the storage medium here can include both built-in storage media in electronic devices and, of course, extended storage media supported by electronic devices. The storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more execution programs (including program codes). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of a control method of a distribution network model linkage simulation system based on digital twins in the above embodiment.

[0173] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0174] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0175] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0176] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0177] 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. Any modification or equivalent replacement that does 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 graph-model linkage simulation system based on digital twin, characterized in that: include: User access carrier, twin power grid, base service body and electrical diagram service body; The user access carrier is used to send a simulation request to the twin power grid and / or send a diagram model request to the electrical diagram model server, and receive simulation results fed back by the twin power grid and / or receive a distribution network diagram model fed back by the electrical diagram model server; The twin power grid is used to send the simulation request to the base service body when receiving the simulation request, and to feed back the received simulation result to the user access carrier; The base service body is used for, when receiving the simulation request, performing simulation using preset simulation data to obtain simulation results, and feeding back the simulation results to the twin power grid; The electrical graph model service body is used to combine the preset distribution network data and the preset model solution body to obtain the distribution network graph model when receiving the graph model request, and feed back the distribution network graph model to the user access carrier.

2. The system according to claim 1, characterized in that Also includes: Online data collection carrier, offline data collection carrier, real-time twin data collection and historical twin data collection; The online data set carrier is used to collect the twin operation data of the physical power grid and the data of each twin status of the physical power grid in real time through the monitoring device, construct an online data set using the twin operation data of the physical power grid and the data of each twin status of the physical power grid, and send the online data set to the offline data set carrier; The offline data set carrier is used to use a timing function to store the online data set according to type and time to obtain an offline data set, and use the offline data set to provide operation data for the algorithm service body. The real-time twin data set is used to collect the operating data of the twin power grid in real time, obtain the real-time twin data set, and send the real-time twin data set to the online data set carrier and the historical twin data set for storage respectively; The historical twin data set is used to classify and store the real-time twin data set to obtain a historical twin data set, and send the historical twin data set to the offline data set carrier for storage.

3. The system according to claim 2, characterized in that Also includes: A twin data body, for, when receiving a simulation request, selecting data corresponding to the simulation request from the real-time twin data aggregate, obtaining preset simulation data, and sending the preset simulation data to the twin power grid; The twin power grid is also used to send the simulation request to the twin data body, and when receiving the preset simulation data, send the preset simulation data to the base service body.

4. The system according to claim 2, characterized in that The twin power grid is also used for: Based on three-dimensional graphic modeling technology, the data body in the historical twin data set is used to map the physical power grid model structure to obtain the model solution body.

5. The system according to claim 1, characterized in that The base service body includes: an algorithm service body and a simulation service body; The algorithm service body is used to provide algorithm support for the simulation service body; The simulation service body is used to select an algorithm corresponding to the simulation request from the algorithm service body according to the simulation request, and use the algorithm corresponding to the simulation request to simulate the preset simulation data to obtain a simulation result, and send the simulation result to the twin power grid.

6. The system according to claim 4, characterized in that The electrical diagram service body is specifically used for: When the diagram model request is received, a model settlement body corresponding to the diagram model request is selected from the twin power grid, and the model settlement body corresponding to the diagram model request is mapped to generate an electrical diagram; Selecting data corresponding to the model request from the online data set carrier and the offline data set carrier to obtain the preset power distribution network data; The preset distribution network data is used to combine the electrical diagram and the model settlement body corresponding to the diagram model request to generate the distribution network diagram model.

7. The system according to claim 1, characterized in that It also includes: an interface service body and a supporting scenario service body; The interface service body is used to provide a unified data interaction interface for the user service carrier to enable data interaction between the user service carrier and the supporting scenario service body; The supporting scenario service body is used to support data interaction between the user access carrier and the twin power grid.

8. The system according to claim 4, characterized in that Also includes: The twin scene body is used to simulate the three-dimensional distribution network scene based on the twin power grid technology using the model solution body.

9. The system according to claim 8, characterized in that The twin power grid is constructed using the three-dimensional distribution network scenario.

10. A control method for a distribution network graph-model linkage simulation system based on digital twins according to any one of claims 1 to 9, characterized in that: include: When the twin power grid receives a simulation request sent by the user access carrier, it sends the simulation request to the base service body; When the base service body receives the simulation request, it performs simulation using preset simulation data to obtain simulation results, and feeds the simulation results back to the twin power grid, so that the twin power grid feeds the simulation results back to the user access carrier; When the electrical diagram service receives the diagram request sent by the user access carrier, it combines the preset distribution network data with the preset model solver to obtain the distribution network diagram, and feeds back the distribution network diagram to the user access carrier.

11. The method according to claim 10, characterized in that Also includes: Using an online data set carrier to collect twin operation data of a physical power grid and data of each twin condition of the physical power grid in real time through a monitoring device, using the twin operation data of the physical power grid and data of each twin condition of the physical power grid to construct an online data set, and sending the online data set to an offline data set carrier; Using an offline data set carrier and a timing function, the online data set is stored according to type and time to obtain an offline data set, and the offline data set is used to provide operation data for the algorithm service body; Using the operation data of the twin power grid collected in real time by the real-time twin data set, a real-time twin data set is obtained, and the real-time twin data set is sent to the online data set carrier and the historical twin data set for storage respectively; The real-time twin data set is classified and stored using the historical twin data set to obtain a historical twin data set, and the historical twin data set is sent to an offline data set carrier for storage.

12. The method according to claim 11, characterized in that Also includes: Using the twin power grid to send the simulation request to the twin data body; When the twin data body receives a simulation request, it selects data corresponding to the simulation request from the real-time twin data collection to obtain preset simulation data, and sends the preset simulation data to the twin power grid, so that the twin power grid sends the preset simulation data to the base service body.

13. The method according to claim 11, characterized in that The process of obtaining the model solution body includes: The twin power grid is based on three-dimensional graphics modeling technology, and the data body in the historical twin data set is used to map the physical power grid model structure to obtain the model solution body.

14. The method according to claim 10, characterized in that When the base server receives the simulation request, it performs simulation using preset simulation data to obtain simulation results, including: The simulation service body selects an algorithm corresponding to the simulation request from the algorithm service body according to the simulation request, and uses the algorithm corresponding to the simulation request to simulate the preset simulation data to obtain a simulation result, and sends the simulation result to the twin power grid.

15. The method according to claim 13, characterized in that When the electrical diagram model service receives the diagram model request sent by the user access carrier, the preset distribution network data and the preset model solver are combined to obtain the distribution network diagram model, including: When the diagram model request is received, a model settlement body corresponding to the diagram model request is selected from the twin power grid, and the model settlement body corresponding to the diagram model request is mapped to generate an electrical diagram; Selecting data corresponding to the model request from the online data set carrier and the offline data set carrier to obtain the preset power distribution network data; The preset distribution network data is used to combine the electrical diagram and the model settlement body corresponding to the diagram model request to generate the distribution network diagram model.

16. The method according to claim 10, characterized in that Also includes: Using the interface service body to provide a unified data interaction interface for the user service carrier, so as to enable data interaction between the user service carrier and the supporting scenario service body; The supporting scenario service body is used to support the data interaction between the user access carrier and the twin power grid.

17. The method according to claim 13, characterized in that Also includes: The twin scene body is based on the twin power grid technology, and the model solution body is used to simulate the three-dimensional distribution network scene.

18. The method according to claim 17, characterized in that The twin power grid is constructed using the three-dimensional distribution network scenario.

19. A computer device, characterized in that: include: at least one processor and memory; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the control method of the distribution network graphic-model linkage simulation system based on digital twins as described in any one of claims 10 to 18 is implemented.

20. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, it implements the control method of the distribution network graphic-model linkage simulation system based on digital twin as described in any one of claims 10 to 18.

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