CN115495858A - Method and system for improving toughness of power distribution network and storage medium - Google Patents
Method and system for improving toughness of power distribution network and storage medium Download PDFInfo
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- CN115495858A CN115495858A CN202211105011.7A CN202211105011A CN115495858A CN 115495858 A CN115495858 A CN 115495858A CN 202211105011 A CN202211105011 A CN 202211105011A CN 115495858 A CN115495858 A CN 115495858A
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Abstract
The invention provides a method, a system and a storage medium for improving the toughness of a power grid, wherein the method comprises the following steps: acquiring a network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability; designing a network toughness improvement function by utilizing a preset toughness analysis engine according to the network toughness improvement requirement to generate a network toughness improvement scheme; based on the network toughness promotion scheme, the toughness of the power distribution network is promoted, the visual platform is built, the defect that the existing power distribution network is high in disaster failure rate is overcome through function display, the toughness of the power distribution network is promoted, and the disaster resistance capability is enhanced.
Description
Technical Field
The invention relates to the technical field of power grid maintenance, in particular to a method and a system for improving toughness of a power distribution network and a storage medium.
Background
Extreme weather frequently occurs in recent years, which causes severe impact on power systems and also causes significant economic loss. The power distribution network is a power supply system from a main network to a user side, is widely distributed in a power system, is generally medium-low voltage equipment, has relatively low disaster resistance level and is easy to be impacted by extreme disaster weather. The capacity of the power distribution network for dealing with the disaster weather is improved, and the method has great significance for preventing and reducing the disaster.
With the development of information systems and the complexity of power distribution networks, modern power distribution networks gradually present the cross-correlation characteristics of complex systems, such as the power supply state of a load node is related to the state of a power supply node and the reliability of a power supply line; when the original power supply path fails, the load node can obtain power supply again through the power supply switching line. These complex correlation features raise the disaster resistance level of modern power distribution networks, but also bring about difficulties in analysis. Meanwhile, multiple faults are often involved in an extreme weather scene, N-k verification in traditional power grid safety analysis needs to be obtained based on a large number of enumerations, and the method is difficult to adapt to a toughness evaluation framework, so that the toughness of the power distribution network is difficult to guarantee.
Disclosure of Invention
The invention provides a method, a system and a storage medium for improving the toughness of a power distribution network, which are used for solving the defect of high failure rate of the conventional power distribution network due to disasters, improving the toughness of the power distribution network and enhancing the disaster resistance.
The invention provides a method for improving the toughness of a power distribution network, which comprises the following steps:
acquiring a network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability;
designing a network toughness improvement function by utilizing a preset toughness analysis engine according to the network toughness improvement requirement to generate a network toughness improvement scheme;
and improving the toughness of the power distribution network based on a network toughness improvement scheme, and constructing a visual platform for function display.
According to the method for improving the toughness of the power distribution network, provided by the invention, the network outage risk probability is obtained, and the network toughness improvement requirement is generated according to the network outage risk probability, and the method specifically comprises the following steps:
acquiring the component outage probability before acquiring the network outage risk probability;
the element outage probability is calculated through an element disaster model and an equipment influence experience model of disasters based on weather forecast data.
According to the method for improving the toughness of the power distribution network, provided by the invention, the network outage risk probability is obtained, and a network toughness improvement demand is generated according to the network outage risk probability, and the method further comprises the following steps:
after the component outage probability is obtained, risk analysis is carried out based on a preset risk analysis engine to generate a network outage risk probability;
and determining the network toughness improvement requirement through a decision analysis tool based on the network outage risk probability.
According to the method for improving the toughness of the power distribution network, the network toughness improvement function design is carried out by utilizing the preset toughness analysis engine according to the network toughness improvement requirement, and the network toughness improvement scheme specifically comprises the following steps:
receiving data through a toughness analysis example interface to obtain network toughness improvement requirements;
carrying out element outage probability modeling simulation and network outage risk analysis according to network toughness improvement requirements to generate a total analysis result;
and generating a network toughness improvement scheme by using a preset network toughness improvement decision tool according to the total analysis result.
According to the method for improving the toughness of the power distribution network, provided by the invention, element outage probability modeling simulation and network outage risk analysis are carried out according to the requirement for improving the toughness of the network, and a total analysis result is generated, and the method specifically comprises the following steps:
performing element outage probability simulation, including meteorological data calculation, equipment fault probability calculation and load flow out-of-limit scene search, and generating an element outage probability analysis result;
analyzing the network outage risk through a toughness analysis engine and a toughness analysis advanced application module to generate a network outage risk analysis result;
and combining the element outage probability analysis result and the network outage risk analysis result into a total analysis result.
According to the method for improving the toughness of the power distribution network, which is provided by the invention, the toughness of the power distribution network is improved based on a toughness improvement scheme, a visual platform is built, and the function display is carried out, and the method specifically comprises the following steps:
the toughness of the power distribution network is improved according to a toughness improvement scheme, and an analysis result is displayed through a built visual platform;
and performing mode selection, module internal parameter setting and result display on a user interface of the visual platform to finish function display.
The invention also provides a system for improving the toughness of the power distribution network, which comprises:
the demand analysis module is used for acquiring the network outage risk probability and generating a network toughness improvement demand according to the network outage risk probability;
the function design module is used for carrying out network toughness improvement function design according to the network toughness improvement requirement by utilizing a preset toughness analysis engine to generate a network toughness improvement scheme;
and the promotion display module is used for promoting the toughness of the power distribution network based on a toughness promotion scheme, and building a visual platform for function display. The invention further provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize any one of the above methods for improving the toughness of the power distribution network.
The present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for improving toughness of a power distribution network as described in any one of the above methods is implemented.
The invention also provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to realize the toughness improvement method for the power distribution network.
According to the method, the system and the storage medium for improving the toughness of the power distribution network, provided by the invention, the outage probability analysis is carried out on the power distribution network from an element to the system, the toughness improvement requirement is generated, the function design is carried out according to the toughness improvement requirement, the network toughness is improved, and the disaster resistance capability is enhanced. And a visual interface of the application platform is constructed, and function integration and analysis result display are realized.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic flow chart of a method for improving toughness of a power distribution network according to the present invention;
fig. 2 is a second schematic flow chart of a method for improving toughness of a power distribution network according to the present invention;
fig. 3 is a third schematic flow chart of a method for improving toughness of a power distribution network according to the present invention;
fig. 4 is a fourth schematic flow chart of a method for improving the toughness of a power distribution network according to the present invention;
FIG. 5 is a schematic diagram of a module connection of a system for increasing toughness in a power distribution network according to the present invention;
fig. 6 is a schematic structural diagram of an electronic device provided in the present invention.
Reference numerals:
110: a demand analysis module; 120: a functional design module; 130: lifting the display module;
610: a processor; 620: a communication interface; 630: a memory; 640: a communication bus.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The following describes a method for improving the toughness of a power distribution network according to the present invention with reference to fig. 1 to 4, including:
s100, acquiring a network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability;
s200, designing a network toughness improvement function by using a preset toughness analysis engine according to the network toughness improvement requirement to generate a network toughness improvement scheme;
s300, improving the toughness of the power distribution network based on a network toughness improvement scheme, and building a visual platform for function display.
The invention discloses design and basic implementation of a power distribution network toughness evaluation and promotion application software platform under extreme disasters. By constructing the system, the toughness evaluation flow from the element to the network can be integrated, and a toughness improvement scheme can be designed according to the evaluation result.
Acquiring the network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability, wherein the method specifically comprises the following steps:
acquiring the component outage probability before acquiring the network outage risk probability;
the element outage probability is calculated through an element disaster model and an equipment influence experience model of disasters based on weather forecast data.
The calculation of the outage probability of the element is generally a function of forecasting before disaster, and the system analyzes the dynamic process of the element outage due to disaster according to weather forecast data given by an observation station and by combining an element disaster experience model and a multi-disaster fusion reasoning framework. Firstly, analyzing occurrence mechanisms of various extreme weather events, and generating meteorological data at a network element by using methods such as Kriging interpolation and the like according to meteorological prediction data; secondly, integrating experience models of influences of various types of extreme disasters on system equipment, and calculating the dynamic fault probability of equipment suffering from disasters; finally, in order to enhance the capability of the module for docking practical application, an open programming interface needs to be designed for analysts to customize the vulnerability curve of the device, so as to realize a more flexible analysis function.
Acquiring the network outage risk probability, generating a network toughness improvement requirement according to the network outage risk probability, and further comprising:
s101, after the component outage probability is obtained, risk analysis is carried out based on a preset risk analysis engine, and a network outage risk probability is generated;
and S102, determining the network toughness improvement requirement through a decision analysis tool based on the network outage risk probability.
After the outage probability of each element in the network is obtained, risk analysis needs to be implemented on the network level so as to meet the requirement of power grid fault deduction. Firstly, an efficient risk analysis engine needs to be established to support efficient risk analysis of a complex network and subsequent toughness improvement application; secondly, high-level applications of system risk analysis, such as functions of power failure range reasoning, weak link analysis and the like, need to be constructed, and decision basis is provided for quick recovery of the system; and finally, according to the analysis result, researching a dynamic interactive display method of power grid risk analysis, assisting operation and maintenance personnel to quickly master system risk links, and formulating a targeted toughness improvement strategy.
Based on a network outage risk analysis engine, a platform provides an analysis support facing toughness improvement, and a toughness improvement decision framework for pre-disaster prevention, strain in disaster and post-disaster recovery is constructed. Firstly, constructing an analysis interface supporting multiple toughness improvement methods by a platform to evaluate the supporting effect of different strategies on system toughness improvement; secondly, an efficient decision analysis tool needs to be designed, so that the calculation speed and the calculation effect meet the engineering requirement of toughness improvement; and finally, dynamically displaying the whole process of disaster tolerance, strain and recovery of the system by using a software platform.
The network toughness improvement function design is carried out according to the network toughness improvement requirement by utilizing a preset toughness analysis engine, and the network toughness improvement scheme specifically comprises the following steps:
s201, receiving data through a toughness analysis example interface to obtain a network toughness improvement requirement;
s202, carrying out element outage probability modeling simulation and network outage risk analysis according to network toughness improvement requirements to generate a total analysis result;
and S203, generating a network toughness improvement scheme by using a preset network toughness improvement decision tool according to the total analysis result.
Carrying out element outage probability modeling simulation and network outage risk analysis according to network toughness improvement requirements to generate a total analysis result, which specifically comprises the following steps:
performing element outage probability simulation, including meteorological data calculation, equipment fault probability calculation and load flow out-of-limit scene search, and generating an element outage probability analysis result;
analyzing the network outage risk through a toughness analysis engine and a toughness analysis advanced application module to generate a network outage risk analysis result;
and combining the element outage probability analysis result and the network outage risk analysis result into a total analysis result.
In the invention, because the different types of data are in different sample formats, the sample format which is reasonably designed is the basis for butting the actual data and realizing the platform calculation function. Therefore, a set of standard example formats is needed, and various data formats can be docked and converted into data formats convenient for the computing kernel to use. In order to facilitate various calculation requirements such as load flow calculation, probability map analysis, component outage probability calculation and the like, an example format similar to MATPOWER is adopted for format design, and data are stored in a matrix form. Each of which is an element in the system, such as a bus, a line, etc. Each column is a field name that represents a certain property of the element.
And when the simulation of the element outage probability is carried out, meteorological data calculation, equipment fault probability calculation and load flow out-of-limit scene search are carried out.
And the meteorological data calculation infers the space-time meteorological conditions of the elements according to the meteorological observation station data, and meets the basic data requirement of equipment fault probability calculation. If the equipment is close to the observation station, local weather prediction is carried out by utilizing data of the observation station; if the distance between the observation stations is far, spatial meteorological data are calculated by a spatial interpolation method such as Kriging interpolation and a reverse distance weight method.
And calculating the equipment failure probability, calculating the space-time damage probability of a specific element according to data such as element types, disaster types and disaster intensity, and expecting to give an available probability curve of the equipment in a specific disaster scene. Firstly, establishing an empirical model of typical equipment and typical disaster-causing factors in a module, and evaluating the equipment outage rate in a typical scene; secondly, a user-defined disaster interface is designed for a disaster scene which is not preset in the module, so that operation and maintenance personnel can conveniently establish a user-defined disaster-affected model which is generally expressed in a fragile curve form, and the operation and maintenance personnel can correct the disaster-affected model by utilizing statistical data, so that an analysis result is more accurate; secondly, for a scene with multiple disaster factors existing simultaneously, fusing the disaster-causing factors by methods such as fuzzy logic, bayesian network and the like, specifically, including various meteorological factors, equipment operation conditions, equipment aging and the like; and finally, calculating the instantaneous availability probability of the equipment at each time according to the properties of the homogeneous Markov process by using the obtained equipment failure rate.
The power flow advance scene search is based on expected out-of-limit equipment and expected out-of-limit fault search functions meeting expected scenes. By using the load flow calculation data provided by the example, the module can automatically generate an optimization model for scene search, and batch solution is performed by using a mixed integer linear programming solver such as GUROBI and GLPK. The user can self-define parameters such as a search fault range, the maximum search scene number and the like, so that the user can balance the calculation efficiency and the accuracy.
And the network outage risk analysis is processed and analyzed through a high-performance toughness analysis engine and a toughness analysis advanced application module.
A high-performance toughness analysis engine adopts an automatic differential framework JAX as an equation to solve a bottom support in order to meet the actual performance requirement of engineering analysis. Firstly, JAX can adopt technical means such as Just-In-Time (JIT), vectorization, multi-process and the like to accelerate operation, and solve the performance problem of pure Python language implementation; secondly, JAX is internally provided with an automatic differential calculation method, and extensible differentiable probability inference is realized according to an operator differential rule in the chain rule combined equation calculation process; and finally, for probability inference of multiple time nodes, firstly discretizing continuous time according to a certain time section, and then adopting a vectorization method to calculate the network outage probability of each time node in parallel, thereby realizing high-performance multi-time scale risk analysis.
The toughness analysis advanced application module comprises two applications of inference parameter sensitivity analysis and network posterior probability inference. In the aspect of parameter sensitivity analysis, a forward differential method provided by a toughness analysis engine is mainly adopted to calculate a Jacobian matrix of an equation to parameters and gradient vectors of risks to the parameters. In the aspect of network posterior probability inference, firstly, the graphs need to be contracted and merged according to the structure met by graph prior knowledge, and finally the graphs are simplified into a probability graph with a single condition and are calculated by adopting a Bayesian formula.
When a network toughness improvement scheme is generated, a network toughness improvement decision is designed according to the logic before, during and after a disaster. The pre-disaster link is an optimization method based on a probability map equation set, is designed according to a toughness improvement method, and supports a user to set a solver as a mixed integer linear programming or heuristic algorithm for improving the solution flexibility; in-disaster optimization combines meteorological data and system electrical data, situation monitoring is carried out on the system, and a remote scheduling means is adopted to emergently adjust the operation state of the system when necessary; after-disaster optimization needs to be combined with reported information to solve the problems of scheduling and dynamic inspection of emergency repair personnel and the like.
Promote distribution network toughness based on network toughness promotes scheme to build visual platform, carry out the function show, specifically include:
s301, improving the toughness of the power distribution network according to a toughness improvement scheme, and displaying an analysis result through a built visual platform;
s302, mode selection, module internal parameter setting and result display are carried out on a user interface of the visualization platform, and function display is completed.
In the invention, a display page is built by utilizing an Appstudio application workshop in the CloudPSS, and each application computing kernel is accessed to be integrated into a unified computing platform.
And (4) carrying out online API document deployment, organizing the used functional modules by Python scripts, and integrating all the functional modules into a Python software package. The interfaces available to the user are encapsulated to form an Application Programming Interface (API).
Aiming at the visualization of an analysis result, the CloudPSS platform adopts Plotly interactive drawing to realize interactive display of the result, can display dynamically changed data, and is suitable for dynamically displayed data comprising network topology dynamic change, weather data dynamic change and the like.
And designing with three layers of logic of module selection, module internal parameter setting and result display in the user interface. The function selection menu on the left side of the interface selects the function module to be used, the top column of the interface selects the parameters of the current function, and the right side of the interface is the display of the corresponding function result. Different visualization schemes need to be adopted for different pages.
In a specific example, a high-reliability power supply network of a core competition area of a certain sports competition is selected to perform function display of a toughness analysis platform, the power supply network comprises 20 nodes and 53 lines, and a large number of transfer lines are designed for ensuring reliable operation of the system.
Selecting a weather scene on the left side of the weather scene selection interface; displaying a disaster intensity radar chart in the middle of an interface to display the intensities of different disaster-causing factors; the right side is a disaster intensity dynamic change curve. The equipment fault probability table selects the elements to be analyzed in a pull-down menu mode, and shows the dynamic process of element disaster and the element fault probability sequencing. And the equipment failure probability topology display interface visually displays the comparison of the disaster-suffered outage probabilities of the elements in a topology coloring mode.
According to the method, an application platform for evaluating the toughness and improving the performance of the power distribution network in an extreme disaster weather scene is constructed. The application requirements from elements to the system are analyzed, and the design of an example format and a functional module is carried out according to the relevant model provided by the method, so that the network toughness is improved. Packing the designed functional modules into a Python software package, and deploying related documents on line, so that the functional modules are convenient for users to use; a visual interface of the application platform is constructed by using CloudPSS XStudio, and function integration and analysis result display are realized.
Referring to fig. 5, the present invention further discloses a system for improving toughness of a power distribution network, the system includes:
the demand analysis module 110 is configured to obtain a network outage risk probability, and generate a network toughness improvement demand according to the network outage risk probability;
the function design module 120 is configured to perform network toughness improvement function design according to the network toughness improvement requirement by using a preset toughness analysis engine, and generate a network toughness improvement scheme;
and the promotion display module 130 is used for promoting the toughness of the power distribution network based on a network toughness promotion scheme, and building a visual platform for function display.
A demand analysis module 110 that acquires a component outage probability before acquiring a network outage risk probability;
the element outage probability is calculated through an element disaster model and an equipment influence experience model of disasters based on weather forecast data;
after the component outage probability is obtained, risk analysis is carried out based on a preset risk analysis engine to generate a network outage risk probability;
and determining the network toughness improvement requirement through a decision analysis tool based on the network outage risk probability.
The functional design module 120 receives data through a toughness analysis example interface to obtain network toughness improvement requirements;
modeling simulation of component outage probability and analysis of network outage risk are carried out according to network toughness improvement requirements, and a total analysis result is generated;
and generating a network toughness improvement scheme by using a preset network toughness improvement decision tool according to the total analysis result.
Carrying out element outage probability modeling simulation and network outage risk analysis according to network toughness improvement requirements to generate a total analysis result, which specifically comprises the following steps:
performing element outage probability simulation, including meteorological data calculation, equipment fault probability calculation and load flow out-of-limit scene search, and generating an element outage probability analysis result;
analyzing the network outage risk through a toughness analysis engine and a toughness analysis advanced application module to generate a network outage risk analysis result;
and combining the element outage probability analysis result and the network outage risk analysis result into a total analysis result.
The promotion display module 130 is used for promoting the toughness of the power distribution network according to the toughness promotion scheme and displaying the analysis result through a built visual platform;
and performing mode selection, module internal parameter setting and result display on a user interface of the visual platform to finish function display.
According to the power distribution network toughness improvement system, outage probability analysis is carried out on a power distribution network from an element to the system, toughness improvement requirements are generated, function design is carried out according to the toughness improvement requirements, network toughness is improved, and the disaster resistance capability is enhanced. And a visual interface of the application platform is constructed, and function integration and analysis result display are realized.
Fig. 6 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 6: a processor (processor) 610, a communication Interface 620, a memory (memory) 630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 complete communication with each other through the communication bus 640. The processor 610 may invoke logic instructions in the memory 630 to perform a method for increasing the toughness of a power distribution network, the method comprising: acquiring the network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability;
designing a network toughness improvement function by utilizing a preset toughness analysis engine according to the network toughness improvement requirement to generate a network toughness improvement scheme;
and improving the toughness of the power distribution network based on a network toughness improvement scheme, and building a visual platform for function display.
In addition, the logic instructions in the memory 630 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, the computer program may be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer is capable of executing a method for improving toughness of a power distribution network provided by the above methods, where the method includes: acquiring the network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability;
a preset toughness analysis engine is used for carrying out network toughness improvement function design according to the network toughness improvement requirement, and a network toughness improvement scheme is generated;
and improving the toughness of the power distribution network based on a network toughness improvement scheme, and constructing a visual platform for function display.
In another aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the method for improving toughness of a power distribution network provided by the foregoing methods, and the method includes: acquiring a network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability;
a preset toughness analysis engine is used for carrying out network toughness improvement function design according to the network toughness improvement requirement, and a network toughness improvement scheme is generated;
and improving the toughness of the power distribution network based on a network toughness improvement scheme, and building a visual platform for function display.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for improving the toughness of a power distribution network is characterized by comprising the following steps:
acquiring a network outage risk probability, and generating a network toughness improvement requirement according to the network outage risk probability;
designing a network toughness improvement function by utilizing a preset toughness analysis engine according to the network toughness improvement requirement to generate a network toughness improvement scheme;
and improving the toughness of the power distribution network based on a network toughness improvement scheme, and constructing a visual platform for function display.
2. The method for improving toughness of the power distribution network according to claim 1, wherein the acquiring a network outage risk probability and generating a network toughness improvement requirement according to the network outage risk probability specifically includes:
acquiring the component outage probability before acquiring the network outage risk probability;
the element outage probability is calculated through an element disaster model and an equipment influence experience model of disasters based on weather forecast data.
3. The method for improving toughness of the power distribution network according to claim 2, wherein the obtaining of the network outage risk probability and the generating of the network toughness improvement requirement according to the network outage risk probability further comprise:
after the component outage probability is obtained, risk analysis is carried out based on a preset risk analysis engine to generate a network outage risk probability;
and determining the network toughness improvement requirement through a decision analysis tool based on the network outage risk probability.
4. The method according to claim 1, wherein a network toughness improvement function is designed by using a preset toughness analysis engine according to the network toughness improvement requirement, and the network toughness improvement scheme specifically includes:
receiving data through a toughness analysis example interface to obtain network toughness improvement requirements;
modeling simulation of component outage probability and analysis of network outage risk are carried out according to network toughness improvement requirements, and a total analysis result is generated;
and generating a network toughness improvement scheme by using a preset network toughness improvement decision tool according to the total analysis result.
5. The method for improving toughness of the power distribution network according to claim 4, wherein the simulation of component outage probability modeling and the analysis of network outage risk are performed according to network toughness improvement requirements, and a total analysis result is generated, specifically comprising:
performing element outage probability simulation, including meteorological data calculation, equipment fault probability calculation and load flow out-of-limit scene search, and generating an element outage probability analysis result;
analyzing the network outage risk through a toughness analysis engine and a toughness analysis advanced application module to generate a network outage risk analysis result;
and combining the element outage probability analysis result and the network outage risk analysis result into a total analysis result.
6. The method for improving the toughness of the power distribution network according to claim 1, wherein the toughness of the power distribution network is improved based on a toughness improvement scheme, a visual platform is built, and function display is performed, and the method specifically comprises the following steps:
the toughness of the power distribution network is improved according to a toughness improvement scheme, and an analysis result is displayed through a built visual platform;
and performing mode selection, module internal parameter setting and result display on a user interface of the visual platform to finish function display.
7. A system for increasing the toughness of a power distribution network, the system comprising:
the demand analysis module is used for acquiring the network outage risk probability and generating a network toughness improvement demand according to the network outage risk probability;
the function design module is used for carrying out network toughness improvement function design according to the network toughness improvement requirement by utilizing a preset toughness analysis engine to generate a network toughness improvement scheme;
and the promotion display module is used for promoting the toughness of the power distribution network based on a toughness promotion scheme, and building a visual platform for function display.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for increasing the toughness of a power distribution network according to any one of claims 1 to 6.
9. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the method for increasing toughness in a power distribution network according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, wherein the computer program when executed by a processor implements a method for increasing the toughness of a power distribution network as claimed in any one of claims 1 to 6.
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