CN111259541A - System and method for performing visual analysis on simulation data of large power grid - Google Patents
System and method for performing visual analysis on simulation data of large power grid Download PDFInfo
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Abstract
The invention discloses a system and a method for visually analyzing simulation data of a large power grid, wherein the system comprises the following steps: the data management layer is used for storing the simulation data of the large power grid; the simulation calculation layer calls the large power grid simulation data stored by the data management layer through the system management layer, calculates the large power grid simulation data, obtains a data calculation result, and stores the data calculation result in the data management layer through the system management layer; the application and data analysis layer calls the data calculation result stored by the data management layer through the system management layer, analyzes the data calculation result, obtains the data analysis result, and stores the data analysis result in the data management layer through the system management layer; and the visualization and man-machine interaction layer calls a data analysis result stored by the data management layer through the system management layer to generate a power grid characteristic diagram of the large power grid simulation data.
Description
Technical Field
The invention relates to the technical field of power grid simulation data analysis, in particular to a system and a method for visually analyzing large power grid simulation data.
Background
The power grid simulation is a basic supporting means for power grid planning, operation and scientific research, and with the continuous expansion of the scale of the power grid and the continuous improvement of the technical level in China, the power grid simulation technology in China is also greatly developed. Nowadays, the simulation calculation scale of a national grid main framework reaches more than 5 ten thousand nodes, and grid simulation software with independent intellectual property rights including PSASP, PSD, ADPSS and the like is widely applied in actual work, so that the safe and stable operation of a super-large-scale alternating current and direct current hybrid grid in China is powerfully guaranteed. At present, the national grid simulation center which is put into use in the Chinese institute of electrical power science also improves the simulation calculation capability of the Chinese grid to a new height.
The development of the power grid simulation computing technology and the expansion of the computing scale bring direct influences of increasingly complex simulation computing data and rapid increase of data volume. At present, millions of variables are involved in electromechanical transient simulation data of a main grid framework of a national power grid. With the application of electromechanical-electromagnetic hybrid simulation, the complexity of system components, especially dc models, will increase further. In terms of data quantity, when only individual important physical quantity is monitored, electromechanical transient calculation data reaches the hundred MB level, and if certain physical quantity of the whole network, such as bus voltage, is monitored, the monitoring result of one fault calculation can reach the GB level. In a single mode calculation, hundreds of fault calculations are required, and the calculation results that can be generated can easily break through the TB level theoretically. It can be said that large grid simulation data already has the characteristics of large data in terms of complexity and data volume.
Compared with power grid simulation calculation, the research on simulation data analysis methods and the research and development of tools have a great gap. In actual practice, the prior art has also adopted the same method of viewing monitoring curves and reports as in the last century. The method in the prior art can only be used for monitoring and analyzing the state quantity data of individual important elements, cannot observe the change condition of the whole network, and does not have intelligent automatic analysis, judgment and decision-making capability. In fact, the existing various power grid simulation software has the key point of calculation, and has no capability of comprehensively and deeply mining the internal information of the complex power grid simulation data in the aspect of analysis. This results in a large amount of potentially meaningful computational data being ignored as not being available for analysis, which in turn results in wasted computational power for the simulation. Advanced simulation computing techniques require advanced data analysis techniques to fully perform their functions.
On the other hand, due to the complex and various operating characteristics of the power grid, the overlapping and interweaving of analysis targets and other factors, the description of the analysis process and the expression of the conclusion are increasingly difficult, the achievement of one-time mode analysis work is usually explained by dozens or even hundreds of PPTs, the specialization is strong, the efficiency is low, and great difficulty is brought to the upper-level and lower-level communication and the cross-professional communication. The demand for the power grid simulation specialized content display tool in actual work is also increasingly pressing.
Currently, a great deal of research is carried out on big data analysis, and a plurality of mature tools such as SPSS, SAS and the like are formed, and the tools are widely applied to enterprise operation, business data research and the like. Meanwhile, in the aspect of content expression of a complex working process, a display mode represented by a Tableau instrument panel has also reached wide acceptance. The results can provide reference for the research of power grid simulation analysis data analysis and specialized display technology, but the results are mainly oriented to commercial BI, so the results cannot be directly used for the power grid simulation analysis work with professionalism, and new technologies and new systems must be researched and developed.
The application provides a power grid simulation data visualization analysis technology to solve the problems.
Disclosure of Invention
The technical scheme of the invention provides a system and a method for visually analyzing large power grid simulation data, so as to solve the problem of how to visually analyze the large power grid simulation data.
In order to solve the above problems, the present invention provides a system for visually analyzing large grid simulation data, the system comprising:
the data management layer is used for storing large power grid simulation data;
the simulation calculation layer calls the large power grid simulation data stored by the data management layer through a system management layer, calculates the large power grid simulation data, obtains a data calculation result, and stores the data calculation result in the data management layer through the system management layer;
the application and data analysis layer calls the data calculation result stored by the data management layer through a system management layer, analyzes the data calculation result, obtains a data analysis result, and stores the data analysis result in the data management layer through the system management layer;
and the visualization and man-machine interaction layer calls the data analysis result stored by the data management layer through a system management layer to generate a power grid characteristic diagram of the large power grid simulation data.
Preferably, the application and data analysis layer analyzes the data calculation result by a data feature extraction method, an artificial intelligence analysis method or a statistical analysis method.
Preferably, the visualization and human-computer interaction layer is used for generating a power grid characteristic diagram of the large power grid simulation data, the power grid characteristic diagram shows variables of the large power grid simulation data in a layer mode, and the power grid characteristic diagram simultaneously shows a plurality of variables of the large power grid simulation data in a layer superposition mode.
Preferably, the simulation computation layer is further configured to perform load flow computation or transient stability computation on the large power grid simulation data.
Preferably, the simulation computation layer is further used for setting a computation function extension interface.
According to another aspect of the present invention, there is provided a method for visually analyzing large power grid simulation data, the method comprising:
the data management layer is used for storing simulation data of the large power grid;
calling the large power grid simulation data stored by the data management layer through a simulation calculation layer through a system management layer, calculating the large power grid simulation data to obtain a data calculation result, and storing the data calculation result in the data management layer through the system management layer;
calling the data calculation result stored in the data management layer through an application and data analysis layer through a system management layer, analyzing the data calculation result to obtain a data analysis result, and storing the data analysis result in the data management layer through the system management layer;
and calling the data analysis result stored by the data management layer through a system management layer by a visualization and man-machine interaction layer to generate a power grid characteristic diagram of the large power grid simulation data.
Preferably, the application and data analysis layer analyzes the data calculation result by a data feature extraction method, an artificial intelligence analysis method or a statistical analysis method.
Preferably, the visualization and man-machine interaction layer is used for generating a power grid characteristic diagram of the large power grid simulation data, the power grid characteristic diagram shows variables of the large power grid simulation data in a layer mode, and the power grid characteristic diagram simultaneously shows a plurality of variables of the large power grid simulation data in a layer superposition mode.
Preferably, the simulation computation layer is further configured to perform load flow computation or transient stability computation on the large power grid simulation data.
Preferably, the simulation computation layer is further used for setting a computation function extension interface.
The technical scheme of the invention provides a system and a method for visually analyzing simulation data of a large power grid, wherein the system comprises the following steps: the data management layer is used for storing the simulation data of the large power grid; the simulation calculation layer calls the large power grid simulation data stored by the data management layer through the system management layer, calculates the large power grid simulation data, obtains a data calculation result, and stores the data calculation result in the data management layer through the system management layer; the application and data analysis layer calls the data calculation result stored by the data management layer through the system management layer, analyzes the data calculation result, obtains the data analysis result, and stores the data analysis result in the data management layer through the system management layer; and the visualization and man-machine interaction layer calls a data analysis result stored by the data management layer through the system management layer to generate a power grid characteristic diagram of the large power grid simulation data. The technical scheme of the invention mainly aims to establish a power grid simulation visual analysis system, and based on big data and artificial intelligence technology, the technical scheme of the invention realizes the visual analysis and result display of the big power grid simulation data. On one hand, the method makes up the deficiency of a power grid simulation data analysis tool and meets the requirements of multi-level, multi-angle and high-efficiency intelligent analysis of GB and even TB-level large power grid simulation data; on the other hand, the high-efficiency display and description of the power grid simulation analysis work result are realized, and an explanation mode in a seamless interaction mode is established.
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A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a system block diagram for visual analysis of large power grid simulation data in accordance with a preferred embodiment of the present invention; and
fig. 2 is a flow chart of a method for visually analyzing large power grid simulation data according to a preferred embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a system configuration diagram for visually analyzing large power grid simulation data according to a preferred embodiment of the present invention. As shown in fig. 1, the power grid simulation visualization analysis system includes a data management layer, a simulation calculation layer, an application and data analysis layer, a visualization and human-computer interaction layer, and a system management layer.
And the data management layer is used for storing the simulation data of the large power grid. The data management layer is used for managing and storing data related to power grid simulation calculation, and comprises a power grid element model and parameters thereof, power grid simulation calculation data and calculation result data.
And the simulation calculation layer calls the large power grid simulation data stored by the data management layer through the system management layer, calculates the large power grid simulation data, acquires a data calculation result, and stores the data calculation result in the data management layer through the system management layer. Preferably, the simulation calculation layer is further used for carrying out load flow calculation or transient stability calculation on the large power grid simulation data. Preferably, the simulation computation layer is also used for setting a computation function extension interface. According to the simulation calculation layer, power grid simulation calculation is carried out according to power grid simulation calculation data selected by a user from the data management layer, calculation result data are stored in the data management layer, the power grid simulation calculation comprises load flow calculation, transient stability calculation and the like, and other power grid simulation calculation function expansion interfaces are reserved.
And the application and data analysis layer calls the data calculation result stored by the data management layer through the system management layer, analyzes the data calculation result, acquires the data analysis result, and stores the data analysis result in the data management layer through the system management layer. Preferably, the application and data analysis layer analyzes the data calculation result through a data feature extraction method, an artificial intelligence analysis method or a statistical analysis method.
According to the application and data analysis layer, various data analysis means are utilized to analyze various simulation calculation result data according to the simulation calculation result data and the power grid simulation calculation type which are successfully completed, and the data analysis means comprises data characteristic extraction, an artificial intelligence analysis method, a statistical analysis method and the like.
And the visualization and man-machine interaction layer calls a data analysis result stored by the data management layer through the system management layer to generate a power grid characteristic diagram of the large power grid simulation data. The visualization and man-machine interaction layer comprises mass data visualization, efficient man-machine interaction and visual analysis middleware. The mass data visualization is used for rendering the simulation data efficiently within an acceptable time according to a visualization scheme; the visual analysis middleware is used for establishing a visual analysis process; the efficient man-machine interaction is used for reasonably arranging the division of labor of the robot and the human, forming effective cooperation and better solving the problem of power grid simulation data analysis.
Preferably, the visualization and human-computer interaction layer is used for generating a power grid characteristic diagram of the large power grid simulation data, the power grid characteristic diagram shows variables of the large power grid simulation data in a layer mode, and the power grid characteristic diagram simultaneously shows a plurality of variables of the large power grid simulation data in a layer superposition mode.
The system management layer is used for bearing efficient and stable operation of the data management layer, the simulation calculation layer, the application and data analysis layer and the visualization and human-computer interaction layer. The power grid simulation visual analysis system organically combines advanced technologies and concepts such as visual analysis and artificial intelligence with the traditional power grid simulation calculation, the traditional power grid simulation software research and development thought is changed, the power grid simulation technology is combined with big data and artificial intelligence technology in a cross-field mode, and the efficiency and the capability of power grid simulation analysis are improved.
The power grid simulation visual analysis system provided by the application realizes visual analysis of a power grid simulation calculation result; the power grid simulation technology is combined with big data and artificial intelligence technology in a cross-field mode, and the efficiency and the capability of power grid simulation analysis are improved; the method and the device can meet the intelligent analysis requirements of multi-level, multi-angle and high efficiency of the simulation data of the large power grid.
The embodiment of the application provides a visual analysis system for power grid simulation data, which comprises a data management layer, a simulation calculation layer, an application and data analysis layer, a visualization and human-computer interaction layer and a system management layer.
And the data management layer is used for managing and storing data related to power grid simulation calculation, including the power grid element model and parameters thereof, the power grid simulation calculation data and the calculation result data. The data of the database and the data of the file can be supported, and the data of the two formats can be converted with each other.
And the simulation calculation layer is used for performing power grid simulation calculation according to power grid simulation calculation data selected by a user from the data management layer, storing calculation result data to the data management layer, wherein the power grid simulation calculation comprises load flow calculation, transient stability calculation and the like, and other power grid simulation calculation function expansion interfaces are reserved. The interaction between the simulation computation layer and the data management layer is realized by the system management layer.
And the application and data analysis layer reads various simulation calculation result data stored in the data management layer for analysis, and the data analysis means comprises data feature extraction, an artificial intelligence analysis method, a statistical analysis method and the like. The interaction of the application with the data analysis layer and the data management layer is realized by the system management layer.
The visualization and man-machine interaction layer module visualizes massive simulation data through efficient man-machine interaction and visual analysis middleware according to analysis of an application and data analysis layer on a simulation calculation result to form a power grid characteristic diagram, the power grid characteristic diagram shows one variable in a layer mode, and simultaneous display of multiple different variables is realized in a layer superposition mode. The interaction between the visualization and man-machine interaction layer and the interaction between the application and data analysis layer are realized by the system management layer.
And the system management layer is used for bearing efficient and stable operation of the data management layer, the simulation calculation layer, the application and data analysis layer and the visualization and human-computer interaction layer, and switching and interactive operation among different layers are realized.
The application provides a power grid simulation visualization analysis system which comprises a data management layer, a simulation calculation layer, an application and data analysis layer, a visualization and human-computer interaction layer and a system management layer. According to the power grid simulation visual analysis system, the mass data visualization of the visualization and human-computer interaction layer takes a power grid geographical map as a basic form, all primitives and labels are calibrated based on GIS information, a variable is displayed in a layer mode, the simultaneous display of various different variables is realized in a multi-layer superposition mode, and the data visualization rendering is completed. The utility model provides a visual analytic system of power grid simulation, the high-efficient man-machine interaction on visual and man-machine interaction layer makes full use of the powerful perception ability of people to the figure and the powerful data processing ability of computer to the figure realizes the interaction of people and algorithm as the medium, and then accomplishes the interactive analysis to complex data. By modeling the environment, roles and interaction between people and Artificial Intelligence (AI), a model for the people and the AI to jointly complete the analysis task of the simulation data of the power grid is established, and a feedback mechanism based on analysis effect evaluation is established, so that the AI can directionally and autonomously evolve in use.
Fig. 2 is a flow chart of a method for visually analyzing large power grid simulation data according to a preferred embodiment of the present invention. As shown in fig. 2, the present application provides a method for visually analyzing large grid simulation data, the method comprising:
preferably, in step 101: the data management layer is used for storing the large power grid simulation data. The data management layer is used for managing and storing data related to power grid simulation calculation, and comprises a power grid element model and parameters thereof, power grid simulation calculation data and calculation result data.
Preferably, at step 102: calling the large power grid simulation data stored in the data management layer through the simulation calculation layer through the system management layer, calculating the large power grid simulation data to obtain a data calculation result, and storing the data calculation result in the data management layer through the system management layer; preferably, the simulation calculation layer is further used for carrying out load flow calculation or transient stability calculation on the large power grid simulation data. Preferably, the simulation computation layer is also used for setting a computation function extension interface. According to the simulation calculation layer, power grid simulation calculation is carried out according to power grid simulation calculation data selected by a user from the data management layer, calculation result data are stored in the data management layer, the power grid simulation calculation comprises load flow calculation, transient stability calculation and the like, and other power grid simulation calculation function expansion interfaces are reserved.
Preferably, in step 103: calling a data calculation result stored in the data management layer through the application and data analysis layer through the system management layer, analyzing the data calculation result, obtaining a data analysis result, and storing the data analysis result in the data management layer through the system management layer; preferably, the application and data analysis layer analyzes the data calculation result through a data feature extraction method, an artificial intelligence analysis method or a statistical analysis method.
According to the application and data analysis layer, various data analysis means are utilized to analyze various simulation calculation result data according to the simulation calculation result data and the power grid simulation calculation type which are successfully completed, and the data analysis means comprises data characteristic extraction, an artificial intelligence analysis method, a statistical analysis method and the like.
Preferably, at step 104: and calling a data analysis result stored by the data management layer through the system management layer by the visualization and man-machine interaction layer to generate a power grid characteristic diagram of the large power grid simulation data. Preferably, a power grid characteristic diagram used for generating the large power grid simulation data is generated through the visual and man-machine interaction layer, the power grid characteristic diagram shows variables of the large power grid simulation data in a layer mode, and the power grid characteristic diagram simultaneously shows a plurality of variables of the large power grid simulation data in a layer superposition mode.
The visualization and man-machine interaction layer comprises mass data visualization, efficient man-machine interaction and visual analysis middleware. The mass data visualization is used for rendering the simulation data efficiently within an acceptable time according to a visualization scheme; the visual analysis middleware is used for establishing a visual analysis process; the efficient man-machine interaction is used for reasonably arranging the division of labor of the robot and the human, forming effective cooperation and better solving the problem of power grid simulation data analysis.
The system management layer is used for bearing efficient and stable operation of the data management layer, the simulation calculation layer, the application and data analysis layer and the visualization and human-computer interaction layer. The power grid simulation visual analysis system organically combines advanced technologies and concepts such as visual analysis and artificial intelligence with the traditional power grid simulation calculation, the traditional power grid simulation software research and development thought is changed, the power grid simulation technology is combined with big data and artificial intelligence technology in a cross-field mode, and the efficiency and the capability of power grid simulation analysis are improved.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a// the [ device, component, etc ]" are to be interpreted openly as at least one instance of a device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
Claims (10)
1. A system for visual analysis of large power grid simulation data, the system comprising:
the data management layer is used for storing large power grid simulation data;
the simulation calculation layer calls the large power grid simulation data stored by the data management layer through a system management layer, calculates the large power grid simulation data, obtains a data calculation result, and stores the data calculation result in the data management layer through the system management layer;
the application and data analysis layer calls the data calculation result stored by the data management layer through a system management layer, analyzes the data calculation result, obtains a data analysis result, and stores the data analysis result in the data management layer through the system management layer;
and the visualization and man-machine interaction layer calls the data analysis result stored by the data management layer through a system management layer to generate a power grid characteristic diagram of the large power grid simulation data.
2. The system of claim 1, the application and data analysis layer analyzes the data calculation results through data feature extraction, artificial intelligence analysis methods, or statistical analysis methods.
3. The system of claim 1, wherein the visualization and human-machine interaction layer is configured to generate a grid characteristic diagram of the large grid simulation data, the grid characteristic diagram shows variables of the large grid simulation data in a layer manner, and the grid characteristic diagram shows a plurality of variables of the large grid simulation data simultaneously in a layer-overlapping manner.
4. The system of claim 1, the simulation computation layer further configured to perform a load flow calculation or a transient stability calculation on the large power grid simulation data.
5. The system of claim 1, the emulated compute layer further to provision a compute function extension interface.
6. A method for visual analysis of large power grid simulation data, the method comprising:
the data management layer is used for storing simulation data of the large power grid;
calling the large power grid simulation data stored by the data management layer through a simulation calculation layer through a system management layer, calculating the large power grid simulation data to obtain a data calculation result, and storing the data calculation result in the data management layer through the system management layer;
calling the data calculation result stored in the data management layer through an application and data analysis layer through a system management layer, analyzing the data calculation result to obtain a data analysis result, and storing the data analysis result in the data management layer through the system management layer;
and calling the data analysis result stored by the data management layer through a system management layer by a visualization and man-machine interaction layer to generate a power grid characteristic diagram of the large power grid simulation data.
7. The method of claim 6, wherein the application and data analysis layer analyzes the data calculation results by data feature extraction, artificial intelligence analysis or statistical analysis.
8. The method according to claim 6, wherein the visualization and human-machine interaction layer is used for generating a grid characteristic diagram of the large grid simulation data, the grid characteristic diagram shows variables of the large grid simulation data in a layer mode, and the grid characteristic diagram shows a plurality of variables of the large grid simulation data simultaneously in a layer superposition mode.
9. The method of claim 6, wherein the simulation computation layer is further used for carrying out load flow computation or transient stability computation on the large power grid simulation data.
10. The method of claim 6, the emulated compute layer further for provisioning a compute function extension interface.
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