CN117195454A - Method and device for constructing digital twin body of power grid, electronic equipment and storage medium - Google Patents
Method and device for constructing digital twin body of power grid, electronic equipment and storage medium Download PDFInfo
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- CN117195454A CN117195454A CN202311260466.0A CN202311260466A CN117195454A CN 117195454 A CN117195454 A CN 117195454A CN 202311260466 A CN202311260466 A CN 202311260466A CN 117195454 A CN117195454 A CN 117195454A
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Abstract
The invention relates to a method, a device, electronic equipment and a storage medium for constructing a digital twin body of a power grid, which comprise the following steps: and acquiring power grid online data and power grid offline data for constructing the power grid digital twin body. Different file adapters are constructed based on the grid on-line data and the grid off-line data. And adapting different file adapters to the power grid online data and the power grid offline data, and analyzing the power grid online data and the power grid offline data after adapting to obtain analysis results. Based on the analysis result, the power grid online data and the power grid offline data are adapted to the power grid model through the adapted file adapter, so that mapping between the power grid online data and the power grid offline data and the power grid digital twin body is realized. And constructing the grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin. According to the method, different file adapters are automatically constructed to adapt data to the power grid model, and a high-efficiency data management tool is provided.
Description
Technical Field
The invention relates to the technical field of digital twin and large power grid simulation, in particular to a power grid digital twin construction method, a device, electronic equipment and a storage medium.
Background
The digital twin is to fully utilize data such as physical model, sensor update, operation history and the like, integrate simulation processes of multidisciplinary, multidisciplinary quantity, multiscale and multiscale probability, and complete mapping in a virtual space, thereby reflecting the full life cycle process of corresponding entity equipment. By constructing the digital twin power grid, the running state mode of the power grid can be monitored to realize the observation of the on-off state, the load size, the distributed power supply output, the single equipment state of the line load and the running condition of the whole power grid, and meanwhile, the source point and the development path of the abnormal running such as the abnormality of the power quality, the equipment heavy overload, the unbalanced power generation and the like can be rapidly traced. The prediction and analysis of the running state of the power grid can be realized based on the complete power grid model and simulation technology, and the simulation deduction of the planning strategy, the control strategy and the operation strategy is developed according to the prediction and analysis, so that the effectiveness of the strategy is verified.
At present, the existing power grid digital twin technology adopts a layering mode of a server, an acquisition terminal and a control terminal, a digital twin model of a power grid system is built based on the server, application is developed, and sensing data and output control signals are obtained through remote communication. The mode has higher requirements on the server, manual debugging is required to be continuously carried out to complete the construction of the digital twin body, the degree of automation is lower, and more time is continuously spent on manual debugging, so that the efficiency of the construction of the digital twin body is lower.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, an apparatus, an electronic device, and a storage medium for constructing a digital twin body of a power grid, which have a high degree of automation and a high construction efficiency.
The invention provides a method for constructing a digital twin body of a power grid, which comprises the following steps:
acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
constructing different file adapters based on the power grid online data and the power grid offline data;
the different file adapters are adapted to the power grid online data and the power grid offline data, and the power grid online data and the power grid offline data are analyzed after the adaptation, so that an analysis result is obtained;
based on the analysis result, the power grid online data and the power grid offline data are adapted to a power grid model through the adapted file adapter so as to realize the mapping between the power grid online data and the power grid offline data and the power grid digital twin body;
and constructing a grid digital twin body based on the grid online data and the mapping between the grid offline data and the grid digital twin body.
In one embodiment, the constructing different file adapters based on the grid online data and the grid offline data includes:
constructing a first file adapter based on the power grid online data, wherein the first file adapter is used for adapting to the power grid online data;
and constructing a second file adapter based on the power grid offline data, wherein the second file adapter is used for adapting to the power grid offline data.
In one embodiment, the adapting the different file adapters to the grid online data and the grid offline data, after adapting, resolving the grid online data and the grid offline data to obtain a resolving result includes:
adapting the first file adapter to the online data of the power grid;
analyzing the online data of the power grid through the first file adapter after the adaptation to obtain a first analysis result.
In one embodiment, the adapting the different file adapters to the grid online data and the grid offline data, after adapting, resolving the grid online data and the grid offline data to obtain a resolved result, further includes:
adapting the second file adapter to the power grid offline data;
and analyzing the offline data of the power grid through the second file adapter after the adaptation to obtain a second analysis result.
In one embodiment, the adapting, based on the analysis result, the grid online data and the grid offline data to the grid model through the adapted file adapter to realize mapping between the grid online data and the grid offline data and the grid digital twin body includes:
based on the first analysis result, the online data of the power grid is adapted to a first power grid model through the adapted first file adapter;
and adapting the grid online data to a first grid model based on the first file adapter after the adaptation, and constructing a mapping between the grid online data and a first grid digital twin.
In one embodiment, the adapting, based on the analysis result, the grid online data and the grid offline data to the grid model through the adapted file adapter to realize mapping between the grid online data and the grid offline data and the grid digital twin body, further includes:
based on the second analysis result, the offline power grid data is adapted to a second power grid model through the adapted second file adapter;
and adapting the power grid offline data to a second power grid model based on the adapted second file adapter, and constructing a mapping between the power grid offline data and a second power grid digital twin.
In one embodiment, the constructing the grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin includes:
constructing a first grid digital twin based on a mapping between the grid online data and the first grid digital twin;
and constructing a second grid digital twin based on the mapping between the grid offline data and the second grid digital twin.
The invention also provides a device for constructing the digital twin body of the power grid, which comprises:
the data acquisition module is used for acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
the first construction module is used for constructing different file adapters based on the power grid online data and the power grid offline data;
the adaptation analysis module is used for adapting the different file adapters to the power grid online data and the power grid offline data, and analyzing the power grid online data and the power grid offline data after adapting to obtain analysis results;
the adaptive mapping module is used for adapting the online data of the power grid and the offline data of the power grid to a power grid model through the adapted file adapter based on the analysis result so as to realize mapping between the online data of the power grid and the offline data of the power grid and a digital twin body of the power grid;
and the second construction module is used for constructing the grid digital twin body based on the grid online data and the mapping between the grid offline data and the grid digital twin body.
The invention also provides electronic equipment, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the power grid digital twin body construction method according to any one of the above when executing the computer program.
The invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements a method of grid digital twin architecture as described in any of the above.
The invention also provides a computer program product comprising a computer program which when executed by a processor implements a method of grid digital twin construction as described in any one of the above.
According to the method, the device, the electronic equipment and the storage medium for constructing the power grid digital twin body, the power grid on-line data and the off-line data for constructing the power grid digital twin body are obtained, and different file adapters are constructed based on the power grid on-line data and the off-line data. And then, correspondingly adapting the constructed different file adapters to the online data and the offline data of the power grid, and analyzing the online data and the offline data of the power grid after adapting to obtain corresponding analysis results. And finally, based on the obtained analysis result, adapting the online data and the offline data of the power grid to a trained power grid model through an adapted file adapter so as to realize the mapping between the online data and the offline data of the power grid and the digital twin of the power grid, thereby completing the construction of the digital twin of the power grid. The method can quickly acquire online data and offline data for constructing the power grid digital twin body by using an intelligent data processing technology, automatically constructs different types of file adapters to adapt the data to a corresponding power grid model, and provides a relatively efficient data conversion and management tool.
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In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for constructing a digital twin body of a power grid;
FIG. 2 is a second schematic flow chart of the method for constructing a digital twin body of a power grid according to the present invention;
FIG. 3 is a third schematic flow chart of the method for constructing a digital twin body of a power grid;
FIG. 4 is a schematic diagram of a process flow of the method for constructing a digital twin body of a power grid;
FIG. 5 is a fifth flow chart of the method for constructing a digital twin body of a power grid;
FIG. 6 is a flowchart of a method for constructing a digital twin body of a power grid according to the present invention;
FIG. 7 is a schematic diagram of a method for constructing a digital twin-body of a power grid according to the present invention;
FIG. 8 is a schematic structural diagram of a power grid digital twin body construction device provided by the invention;
fig. 9 is an internal structural diagram of a computer device provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The method, the device, the electronic equipment and the storage medium for constructing the power grid digital twin body are described below with reference to fig. 1 to 9.
As shown in fig. 1, in one embodiment, a method for constructing a digital twin body of a power grid includes the following steps:
step S110, acquiring power grid online data and power grid offline data for constructing a power grid digital twin body.
Specifically, the server first needs to acquire grid online data and grid offline data for the grid digital twin.
Step S120, constructing different file adapters based on the grid online data and the grid offline data.
Specifically, the server constructs different file adapters based on the online data of the power grid and the offline data of the power grid obtained in step S110, that is, the file adapter corresponding to the online data of the power grid is a first file adapter, and the file adapter corresponding to the offline data of the power grid is a second file adapter.
The file adapter at least supports a PSASP (Power System Analysis Software Package, power system analysis and synthesis program, PSASP for short), a BPA (Bonneville PowerAdministration, BPA for short, a power system analysis software package) model and a MATIWER (m file building package based on Matlab language, as power system tide calculation simulation software) model.
Step S130, adapting different file adapters to the power grid online data and the power grid offline data, and analyzing the power grid online data and the power grid offline data after adapting to obtain analysis results.
Specifically, the server performs corresponding adaptation on the different file adapters obtained in the step S120 and the online data and the offline data of the power grid, and the corresponding adapted file adapters respectively analyze the online data and the offline data of the power grid to obtain corresponding analysis results.
Step S140, based on the analysis result, the online data of the power grid and the offline data of the power grid are adapted to the power grid model through the adapted file adapter, so that mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid is realized.
Specifically, the server respectively adapts the online data of the power grid and the offline data of the power grid to a preset power grid model through the adapted file adapter based on the analysis result obtained in the step S130, so as to realize mapping between the online data of the power grid and the offline data of the power grid and the corresponding digital twin body of the power grid.
And step S150, constructing a power grid digital twin body based on the power grid online data and the mapping between the power grid offline data and the power grid digital twin body.
Specifically, the server constructs a grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin in step S150.
It should be noted that the finally constructed grid digital twin is capable of performing power system planning, including long-term planning, medium-term planning and short-term planning, in different time scales, and the effect of planning decisions can be evaluated by simulating different schemes by using the digital twin model. Meanwhile, a power flow calculation algorithm with higher performance is provided, so that the simulation speed and accuracy are improved, and a plurality of types of solving algorithms, such as a Newton-Laporton algorithm and a PQ decoupling method, are supported. In addition, the power grid digital twin body can provide electromagnetic transient simulation of the power system, simulate events such as transient faults, transient processes and lightning strokes of the power system, evaluate the stability, reliability and safety of the power system under the electromagnetic transient, enable the system to be started from tide, avoid a large amount of impact caused by black start, reduce debugging workload and improve simulation effectiveness.
The digital twin simulation system of the large power grid has the functions of constructing a power grid digital twin body, planning capacity, tide calculation simulation, electromagnetic transient simulation, low-code construction simulation flow, visualization capacity and the like through advanced technology. The system aims at providing a comprehensive solution, helping a power system engineer to simulate and evaluate the operation condition of a power system more accurately, rapidly acquiring online data and offline data for constructing a power grid digital twin body by using an intelligent data processing technology, automatically constructing different types of file adapters to adapt the data to a corresponding power grid model, and providing an efficient data conversion and management tool for users. In addition, the system also supports various solving algorithms, such as Newton-Laporton algorithm, PQ decoupling method and the like, so as to improve the speed and accuracy of load flow calculation simulation. Meanwhile, the system also has strong electromagnetic transient simulation capability, and can simulate the events such as transient faults, transient processes, lightning strokes and the like in the power system, so that a simulation result based on a real scene is provided for a user. The low code build simulation flow technique is a highlight of the system that enables even users without expert knowledge to build simulation flows easily. Meanwhile, the system has stronger visualization capability, can present the running state and fault information of the power grid, help a user to more intuitively know the condition of the power grid, and provide various visualization schemes, such as a 3D scene, a dynamic chart and the like, for the user so as to observe and analyze in different dimensions.
According to the method for constructing the power grid digital twin body, the power grid on-line data and the off-line data for constructing the power grid digital twin body are obtained, and different file adapters are constructed based on the power grid on-line data and the off-line data. And then, correspondingly adapting the constructed different file adapters to the online data and the offline data of the power grid, and analyzing the online data and the offline data of the power grid after adapting to obtain corresponding analysis results. And finally, based on the obtained analysis result, adapting the online data and the offline data of the power grid to a trained power grid model through an adapted file adapter so as to realize the mapping between the online data and the offline data of the power grid and the digital twin of the power grid, thereby completing the construction of the digital twin of the power grid. The method can quickly acquire online data and offline data for constructing the power grid digital twin body by using an intelligent data processing technology, automatically constructs different types of file adapters to adapt the data to a corresponding power grid model, and provides a relatively efficient data conversion and management tool.
As shown in fig. 2, in one embodiment, the method for constructing a digital twin body of a power grid provided by the invention constructs different file adapters based on-line data and off-line data of the power grid, and specifically includes the following steps:
step S122, based on the online data of the power grid, a first file adapter is constructed, and the first file adapter is used for adapting the online data of the power grid.
Specifically, in the process of constructing different file adapters, the server constructs a file adapter corresponding to the online data of the power grid, namely a first file adapter, based on the online data of the power grid.
Step S124, based on the offline data of the power grid, a second file adapter is constructed, and the second file adapter is used for adapting the offline data of the power grid.
Specifically, in the process of constructing different file adapters, the server constructs a file adapter corresponding to the offline data of the power grid, namely a second file adapter, based on the offline data of the power grid.
As shown in fig. 3, in one embodiment, the method for constructing a digital twin body of a power grid provided by the invention adapts different file adapters to online data of the power grid and offline data of the power grid, and analyzes the online data of the power grid and the offline data of the power grid after adapting to obtain analysis results, and specifically comprises the following steps:
step S132, the first file adapter is adapted to the online data of the power grid.
Specifically, in the process of performing data adaptation on different file adaptations, the server adapts a file adapter corresponding to online data of the power grid, namely a first file adapter, to the online data of the power grid.
Step S134, analyzing the online data of the power grid through the first file adapter after the adaptation to obtain a first analysis result.
Specifically, the server analyzes the online data of the power grid through the first file adapter after the adaptation to obtain an analysis result corresponding to the online data of the power grid, namely a first analysis result.
As shown in fig. 4, in one embodiment, the method for constructing a digital twin body of a power grid provided by the invention adapts different file adapters to online data of the power grid and offline data of the power grid, and analyzes the online data of the power grid and the offline data of the power grid after adapting to obtain analysis results, and specifically further comprises the following steps:
step S136, the second file adapter is adapted to the offline data of the power grid.
Specifically, in the process of performing data adaptation on different file adaptations, the server adapts a file adapter corresponding to offline data of the power grid, namely a second file adapter, to the offline data of the power grid.
And S138, analyzing the offline data of the power grid through the second file adapter after the adaptation to obtain a second analysis result.
Specifically, the server analyzes the offline data of the power grid through the second file adapter after the adaptation to obtain an analysis result corresponding to the offline data of the power grid, namely a second analysis result.
As shown in fig. 5, in one embodiment, the method for constructing a digital twin body of a power grid provided by the invention adapts online data of the power grid and offline data of the power grid to a power grid model through an adapted file adapter based on an analysis result so as to realize mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid, and specifically comprises the following steps:
step S142, based on the first analysis result, the online data of the power grid is adapted to the first power grid model through the adapted first file adapter.
Specifically, in the process of adapting the power grid data to the power grid model through the adapted file adapter, the server adapts the power grid data to the power grid model corresponding to the power grid online data, namely the first power grid model, through the adapted first file adapter based on a first analysis result corresponding to the power grid online data aiming at the power grid online data.
Step S144, based on the fact that the power grid online data are adapted to the first power grid model through the adapted first file adapter, mapping between the power grid online data and the first power grid digital twin is constructed.
Specifically, the server adapts the online data of the power grid to the first power grid model based on the first file adapter after adaptation so as to construct a mapping between the online data of the power grid and the corresponding digital twin of the power grid, namely the first digital twin of the power grid.
As shown in fig. 6, in one embodiment, the method for constructing a digital twin body of a power grid provided by the invention adapts online data of the power grid and offline data of the power grid to a power grid model through an adapted file adapter based on an analysis result so as to realize mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid, and specifically further comprises the following steps:
step S146, based on the second analysis result, the offline data of the power grid is adapted to the second power grid model through the adapted second file adapter.
Specifically, in the process of adapting the power grid data to the power grid model through the adapted file adapter, the server adapts the power grid offline data to the corresponding power grid model, namely the second power grid model, through the adapted second file adapter based on the second analysis result corresponding to the power grid offline data aiming at the power grid offline data.
Step S148, based on the fact that the power grid offline data are adapted to the second power grid model through the adapted second file adapter, mapping between the power grid offline data and the second power grid digital twin is constructed.
Specifically, the server adapts the offline power grid data to the second power grid model through the second file adapter after the adaptation in step S146, and constructs a mapping between the offline power grid data and the corresponding digital twin, that is, the second power grid digital twin.
As shown in fig. 7, in one embodiment, the method for constructing a digital twin of a power grid provided by the present invention constructs the digital twin of the power grid based on the online data of the power grid and the mapping between the offline data of the power grid and the digital twin of the power grid, and specifically includes the following steps:
step S152, constructing a first grid digital twin based on a mapping between the grid online data and the first grid digital twin.
Specifically, the server completes the construction of the first grid digital twin based on the mapping between the grid online data and the first grid digital twin.
Step S154, constructing a second grid digital twin based on the mapping between the grid offline data and the second grid digital twin.
Specifically, the server completes the construction of the second grid digital twin based on the mapping between the grid offline data and the second grid digital twin.
It should be noted that the first grid digital twin and the second grid digital twin together form a grid digital twin with the total of the grid online data and the offline data, that is, the grid digital twin is formed by the grid online data, the grid offline data and the mapping relations between the grid digital twin respectively corresponding to the grid online data and the grid offline data together.
It should be further noted that the finally constructed power grid digital twin body provides an easy-to-use interface and tool, so that the simulation flow can be constructed even if no expert knowledge user exists, and the investment of manpower and errors of simulation prediction are reduced. Meanwhile, the load prediction function of the neural network algorithm based on data driving is provided, the short, medium and long-term load prediction data can be deduced through simulation based on the existing multi-element operation history data scheduling control strategy library, and the model prediction and risk prediction results are combined to provide support for reasonably arranging operation, planning and management of the power system, so that the economical efficiency and reliability of the power system are improved.
The device for constructing the electric network digital twin body provided by the invention is described below, and the device for constructing the electric network digital twin body and the method for constructing the electric network digital twin body described below can be correspondingly referred to each other.
As shown in fig. 8, in one embodiment, a power grid digital twin body construction device includes a data acquisition module 810, a first construction module 820, an adaptation parsing module 830, an adaptation mapping module 840, and a second construction module 850.
The data acquisition module 810 is configured to acquire grid online data and grid offline data for constructing a grid digital twin.
The first building module 820 is configured to build different file adapters based on grid online data and grid offline data.
The adapting parsing module 830 is configured to adapt different file adapters to the grid online data and the grid offline data, parse the grid online data and the grid offline data after adapting, and obtain parsing results.
The adaptation mapping module 840 is configured to adapt the online data of the power grid and the offline data of the power grid to the power grid model through the adapted file adapter based on the analysis result, so as to implement mapping between the online data of the power grid and the offline data of the power grid and the digital twin of the power grid.
The second construction module 850 is configured to construct a grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin.
In this embodiment, the first building module is specifically configured to:
and constructing a first file adapter based on the online data of the power grid, wherein the first file adapter is used for adapting to the online data of the power grid.
And constructing a second file adapter based on the offline data of the power grid, wherein the second file adapter is used for adapting the offline data of the power grid.
In this embodiment, the power grid digital twin body construction device provided by the invention is specifically configured to:
and adapting the first file adapter to the online data of the power grid.
Analyzing the online data of the power grid through the first file adapter after the adaptation to obtain a first analysis result.
In this embodiment, the power grid digital twin body construction device provided by the invention, the adaptation analysis module is specifically further configured to:
and adapting the second file adapter to the offline data of the power grid.
Analyzing the offline data of the power grid through the second file adapter after the adaptation to obtain a second analysis result.
In this embodiment, the power grid digital twin body construction device provided by the invention is specifically configured to:
and based on the first analysis result, the online data of the power grid is adapted to a first power grid model through the adapted first file adapter.
And based on the fact that the power grid online data are adapted to the first power grid model through the adapted first file adapter, mapping between the power grid online data and the first power grid digital twin body is constructed.
In this embodiment, the power grid digital twin body construction device provided by the present invention, the adaptive mapping module is specifically further configured to:
and based on a second analysis result, adapting the offline power grid data to a second power grid model through an adapted second file adapter.
And based on the adapted second file adapter, adapting the power grid offline data to a second power grid model, and constructing a mapping between the power grid offline data and a second power grid digital twin.
In this embodiment, the second building module is specifically configured to:
and constructing the first grid digital twin based on a mapping between the grid online data and the first grid digital twin.
And constructing a second grid digital twin based on a mapping between the grid offline data and the second grid digital twin.
Fig. 9 illustrates a physical structure diagram of an electronic device, which may be an intelligent terminal, and an internal structure diagram thereof may be as shown in fig. 9. The electronic device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the electronic device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of grid digital twin construction, the method comprising:
acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
constructing different file adapters based on the power grid online data and the power grid offline data;
different file adapters are adapted to the power grid online data and the power grid offline data, and the power grid online data and the power grid offline data are analyzed after the adaptation, so that an analysis result is obtained;
based on the analysis result, the online data of the power grid and the offline data of the power grid are adapted to the power grid model through the adapted file adapter, so that the mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid is realized;
and constructing the grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin.
It will be appreciated by those skilled in the art that the structure shown in fig. 9 is merely a block diagram of a portion of the structure associated with the present invention and is not limiting of the electronic device to which the present invention is applied, and that a particular electronic device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In another aspect, the present invention also provides a computer storage medium storing a computer program, which when executed by a processor, implements a method for constructing a digital twin body of a power grid, the method comprising:
acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
constructing different file adapters based on the power grid online data and the power grid offline data;
different file adapters are adapted to the power grid online data and the power grid offline data, and the power grid online data and the power grid offline data are analyzed after the adaptation, so that an analysis result is obtained;
based on the analysis result, the online data of the power grid and the offline data of the power grid are adapted to the power grid model through the adapted file adapter, so that the mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid is realized;
and constructing the grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin.
In yet another aspect, a computer program product or computer program is provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. A processor of an electronic device reads the computer instructions from a computer readable storage medium, the processor executing the computer instructions to implement a grid digital twin construction method, the method comprising:
acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
constructing different file adapters based on the power grid online data and the power grid offline data;
different file adapters are adapted to the power grid online data and the power grid offline data, and the power grid online data and the power grid offline data are analyzed after the adaptation, so that an analysis result is obtained;
based on the analysis result, the online data of the power grid and the offline data of the power grid are adapted to the power grid model through the adapted file adapter, so that the mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid is realized;
and constructing the grid digital twin based on the grid online data and the mapping between the grid offline data and the grid digital twin.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory.
By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. A method for constructing a digital twin body of a power grid, the method comprising:
acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
constructing different file adapters based on the power grid online data and the power grid offline data;
the different file adapters are adapted to the power grid online data and the power grid offline data, and the power grid online data and the power grid offline data are analyzed after the adaptation, so that an analysis result is obtained;
based on the analysis result, the power grid online data and the power grid offline data are adapted to a power grid model through the adapted file adapter so as to realize the mapping between the power grid online data and the power grid offline data and the power grid digital twin body;
and constructing a grid digital twin body based on the grid online data and the mapping between the grid offline data and the grid digital twin body.
2. The method for constructing a digital twin body of a power grid according to claim 1, wherein constructing different file adapters based on the online data of the power grid and the offline data of the power grid comprises:
constructing a first file adapter based on the power grid online data, wherein the first file adapter is used for adapting to the power grid online data;
and constructing a second file adapter based on the power grid offline data, wherein the second file adapter is used for adapting to the power grid offline data.
3. The method for constructing a digital twin body of a power grid according to claim 2, wherein the adapting the different file adapters to the online data of the power grid and the offline data of the power grid, and resolving the online data of the power grid and the offline data of the power grid after adapting to obtain the resolving result comprises:
adapting the first file adapter to the online data of the power grid;
analyzing the online data of the power grid through the first file adapter after the adaptation to obtain a first analysis result.
4. The method for constructing a digital twin body of a power grid according to claim 3, wherein the adapting the different file adapters to the online data of the power grid and the offline data of the power grid, resolving the online data of the power grid and the offline data of the power grid after the adapting, and obtaining a resolving result, further comprises:
adapting the second file adapter to the power grid offline data;
and analyzing the offline data of the power grid through the second file adapter after the adaptation to obtain a second analysis result.
5. The method for constructing a digital twin body of a power grid according to claim 4, wherein the adapting the online data of the power grid and the offline data of the power grid into a power grid model through the adapted file adapter based on the analysis result to realize mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid comprises:
based on the first analysis result, the online data of the power grid is adapted to a first power grid model through the adapted first file adapter;
and adapting the grid online data to a first grid model based on the first file adapter after the adaptation, and constructing a mapping between the grid online data and a first grid digital twin.
6. The method for constructing a digital twin body of a power grid according to claim 5, wherein the adapting the online data of the power grid and the offline data of the power grid into a power grid model through the adapted file adapter based on the analysis result to realize mapping between the online data of the power grid and the offline data of the power grid and the digital twin body of the power grid, further comprises:
based on the second analysis result, the offline power grid data is adapted to a second power grid model through the adapted second file adapter;
and adapting the power grid offline data to a second power grid model based on the adapted second file adapter, and constructing a mapping between the power grid offline data and a second power grid digital twin.
7. The method of claim 6, wherein the constructing the grid digital twin based on the grid on-line data and the mapping between the grid off-line data and the grid digital twin comprises:
constructing a first grid digital twin based on a mapping between the grid online data and the first grid digital twin;
and constructing a second grid digital twin based on the mapping between the grid offline data and the second grid digital twin.
8. A power grid digital twin body construction device, the device comprising:
the data acquisition module is used for acquiring power grid online data and power grid offline data for constructing a power grid digital twin body;
the first construction module is used for constructing different file adapters based on the power grid online data and the power grid offline data;
the adaptation analysis module is used for adapting the different file adapters to the power grid online data and the power grid offline data, and analyzing the power grid online data and the power grid offline data after adapting to obtain analysis results;
the adaptive mapping module is used for adapting the online data of the power grid and the offline data of the power grid to a power grid model through the adapted file adapter based on the analysis result so as to realize mapping between the online data of the power grid and the offline data of the power grid and a digital twin body of the power grid;
and the second construction module is used for constructing the grid digital twin body based on the grid online data and the mapping between the grid offline data and the grid digital twin body.
9. An electronic device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 7 when the computer program is executed.
10. A computer storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method of any one of claims 1 to 7.
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| CN117973096A (en) * | 2024-04-01 | 2024-05-03 | 山东大学 | Direct-drive wind farm parallel simulation method, system, terminal and medium based on double-layer network division |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117973096A (en) * | 2024-04-01 | 2024-05-03 | 山东大学 | Direct-drive wind farm parallel simulation method, system, terminal and medium based on double-layer network division |
| CN117973096B (en) * | 2024-04-01 | 2024-06-04 | 山东大学 | Direct-drive wind farm parallel simulation method, system, terminal and medium based on double-layer network division |
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