Power risk situation awareness system and method, electronic equipment and storage medium

Abstract

The invention belongs to a perception platform, and provides an electric power risk situation perception system and method, electronic equipment and a storage medium aiming at the technical problem that visual expression of full space-time dimension risk situation perception and evolution is not considered when a GIS (Geographic Information System) is applied to an electric power system visual display platform at present. The equipment module is used for acquiring environment data of an environment where the power system is located, operation state data of the power system and associated data of a geographic position where the power system is located; the data module is used for storing and managing the collected data; the business module is used for carrying out visualization processing on the spatio-temporal data stored and managed in the data module, and carrying out toughness evaluation and risk event situation awareness; and the application module is used for visually displaying the change trend of the spatio-temporal data after visualization processing, displaying the change condition of the power insurance and supply toughness in the whole risk process, and displaying the spatio-temporal development of the risk event.

Description

Technical Field

[0001] This application belongs to a perception platform, and particularly relates to a power risk situation perception system, method, electronic device, and storage medium. Background Art

[0002] Currently, the risks of power supply security present new features: First, the impact of special events on power supply security is increasing; second, the risks of power supply security are systemic; third, there will be fundamental changes in the power supply and load structure, and the vulnerability of the system itself is also the source of power supply security risks.

[0003] The application and development of GIS (Geographic Information System) in the power system visualization display platform can improve the visualization and management capabilities of the power system, help power enterprises and decision-makers make accurate and scientific decisions, and improve the reliability, stability, and sustainable development capabilities of the power system. However, most applications are still static displays, positioning, etc. of data, or dynamic continuous visualization displays of pure meteorological data, lacking consideration of the visualization expression of the risk situation perception and evolution in the full space-time dimension. Summary of the Invention

[0004] Aiming at the technical problem that when GIS is applied in the power system visualization display platform at present, there is a lack of consideration of the visualization expression of the risk situation perception and evolution in the full space-time dimension, this application provides a power risk situation perception system, method, electronic device, and storage medium.

[0005] To achieve the above object, this application adopts the following technical solutions: In the first aspect, this application proposes a power risk situation perception system, including the following components arranged in sequence from bottom to top: An equipment module, which is used to obtain the environmental data of the environment where the power system is located, the operation status data of the power system, and the geographical location correlation data of the power system, and jointly use them as the collected data; A data module, which is used to store and manage the collected data; A service module, which is used to perform visual processing on the space-time data stored and managed in the data module, and perform resilience assessment and risk event situation perception on the power system according to the collected data stored and managed in the data module; An application module, which is used to visually display the change trend of the space-time data after visual processing, display the change of power supply resilience under the whole process of risk according to the resilience assessment result, and perform space-time development display of the risk event according to the risk event situation perception result.

[0006] Further, the storage management in the data module includes: Use a time series database, a relational database, a distributed file system, and a spatial database to store and manage the collected data.

[0007] Further, the time series database is used to store and manage the continuous data with timestamps in the collected data; The relational database is used to store and manage the structured data in the collected data; The distributed file system is used to store and manage the unstructured data or semi-structured data in the collected data; The spatial database is used to store and manage the geospatial data in the collected data.

[0008] Further, in the business module, visualize the spatio-temporal data stored and managed in the data module, including: Use different visualization methods to display the fuel supply situation data in the power system and the real-time monitoring data under extreme weather conditions stored and managed in the data module.

[0009] Further, the fuel supply situation data in the power system stored and managed in the data module includes the inventory data in the inventory management system of fuel supply and the consumption data in the energy management system stored and managed in the relational database and the time series database; The visualization method of the fuel supply situation data in the business module includes: Display the fuel inventory in the form of a bar chart and display the dynamic balance between fuel supply and consumption in the form of a stacked area chart.

[0010] Further, the real-time monitoring data under extreme weather conditions stored and managed in the data module includes: The water level change data of reservoirs and hydropower stations provided by water level sensors under drought meteorology stored and managed in the time series database; The meteorological monitoring data and facility geographical location data under typhoon meteorology stored and managed in the spatial database; The meteorological monitoring data under ice disaster meteorology stored and managed in the spatial database; The visualization method of the real-time monitoring data under extreme weather conditions in the business module includes: Display the water level monitoring situation and the drought warning map through a time series chart and a heat map respectively; Display the wind speed and wind direction distribution through a wind rose chart, display the typhoon intensity through a radar chart, and display the typhoon path in combination with a dynamic path chart. Highlight the affected facility locations with the help of a GIS map and point markers to locate the facility locations affected by typhoon meteorology; Display the ice disaster risk level through a heat map and display the real-time snow and ice coverage situation using remote sensing images.

[0011] Furthermore, the resilience assessment includes assessing defense force indicators, strain force indicators, and recovery force indicators.

[0012] Furthermore, assessing the defense force indicators includes assessing the defense time of the distribution network and the island support ability; Assessing the strain force indicators includes assessing the resistance rate of the distribution network and the system adaptability; Assessing the recovery force indicators includes assessing the recovery speed of critical loads and the unsupplied rate of critical loads.

[0013] Furthermore, in the business module, the risk event situation awareness includes situation evolution monitoring, situation evolution prediction, and situation evolution dynamic early warning.

[0014] In a second aspect, the present application proposes a method for power risk situation awareness, including: Obtaining environmental data of the environment where the power system is located, operating state data of the power system, and geographical location association data of the power system, and jointly using them as collected data; Performing storage management on the collected data; Performing visualization processing on the spatio-temporal data stored and managed, and performing resilience assessment and risk event situation awareness on the power system according to the collected data stored and managed in the data module; Visualizing the change trend of the spatio-temporal data after visualization processing, displaying the change of power supply resilience under the entire process of risk according to the resilience assessment result, and displaying the spatio-temporal development of risk events according to the risk event situation awareness result.

[0015] In a third aspect, the present application proposes an electronic device, including: a memory, one or more processors; the memory is coupled to the processor; wherein, computer program code is stored in the memory, and the computer program code includes computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the steps of the above-mentioned power risk situation awareness method.

[0016] In a third aspect, the present application proposes a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned power risk situation awareness method are implemented.

[0017] Compared with the prior art, the present application has the following beneficial effects: This application proposes a power risk situation awareness system, which acquires environmental data of the power system's environment, operation status data of the power system, and geographical location-related data of the power system, and stores and manages them together as collected data. It can process multi-source and multi-dimensional data from both inside and outside the power grid, and realize the whole-process monitoring of power supply risks from occurrence to development. Visualize the spatio-temporal data stored and managed in the data module, and conduct resilience assessment and risk event situation awareness of the power system based on the collected data stored and managed in the data module. By adding a power system resilience assessment framework that covers the entire timeline from the initial trigger of the risk to the final impact, it can help evaluate the recovery ability and adaptability of the power system in the face of emergencies. Visualize the change trend of the spatio-temporal data after visualization processing, display the change of power supply resilience under the whole process of risk according to the resilience assessment results, and display the spatio-temporal development of risk events according to the risk event situation awareness results. By integrating GIS technology and visualization means, it can dynamically display the full spatio-temporal dimension of power supply risks and their evolution process, enabling decision-makers to clearly understand the current risk situation and foresee the development trend of future risks. Therefore, this application not only improves the visualization and management capabilities of the power system, but also helps power enterprises and decision-makers make accurate and scientific decisions, thereby improving the overall reliability and stability of the power system and promoting the sustainable development of the power system.

[0018] This application also proposes a power risk situation awareness method, an electronic device, and a computer storage medium, which possess all the advantages of the above power risk situation awareness system. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of this application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0020] Figure 1 It is an example diagram of the power risk situation awareness system of this application; Figure 2 It is a top-level design schematic diagram of the power risk situation awareness system architecture of this application; Figure 3 It is a schematic diagram of the power spatio-temporal data visualization module, the power system resilience assessment module, and the risk event situation awareness module of this application; Figure 4 It is the performance response diagram obtained by the power risk situation awareness system in the embodiments of this application; Figure 5This is a flowchart diagram of the power risk situation awareness method of the present application. Detailed implementation manners

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. The components of the embodiments of the present application usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.

[0022] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed present application, but merely represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts fall within the scope of protection of the present application.

[0023] It should be noted that: Similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0024] In the description of the embodiments of the present application, it should be noted that if terms such as "upper", "lower", "horizontal", "inner", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the inventive product is usually placed during use, it is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present application. In addition, terms such as "first", "second", etc. are only used for descriptive distinction and cannot be construed as indicating or implying relative importance.

[0025] In addition, if the term "horizontal" appears, it does not mean that the component is required to be absolutely horizontal, but it can be slightly inclined. For example, "horizontal" only means that its direction is more horizontal relative to "vertical", and does not mean that the structure must be completely horizontal, but it can be slightly inclined.

[0026] In the description of the embodiments of the present application, it should also be noted that unless otherwise clearly specified and limited, if terms such as "set", "installed", "connected", "connected" are understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0027] At present, ensuring power supply in the power system faces increasingly complex challenges, such as natural disasters, equipment failures, and load fluctuations. The spatio-temporal distribution characteristics of these challenges are significant, and traditional risk analysis methods are difficult to handle these dynamic changes. Most of the existing technologies at home and abroad focus on static risk assessment and lack overall consideration of spatio-temporal dynamic changes.

[0028] Among them, the technology for perceiving the risk situation of power supply guarantee across time and space mainly involves sequential continuous visualization expression technology, including Geographic Information System (GIS), spatio-temporal data fusion methods, etc. GIS is an intersection of multiple disciplines, including cartography, graphics, mathematics, computer science, and many other disciplines. The technical forms involved from bottom to top include databases, spatial data models, data access interfaces, maps and projections, GIS services, web front-ends, and mobile terminals, etc. After years of development and market competition, in the current basic GIS technology field, a tripartite pattern has emerged with ArcGIS of ESRI (a company focusing on the software development and services of Geographic Information System GIS), SuperMap of SuperMap (a series of large-scale basic GIS software developed by SuperMap Software for application development in various industries, 2D and 3D mapping and visualization, and decision analysis), and open-source GIS software. In terms of spatio-temporal data fusion technology, data fusion first appeared in the late 1970s. According to research results at home and abroad, a more precise definition of data fusion can be summarized as: making full use of the data resources of multiple sensors or information sources at different times and spaces, and using computer technology, artificial intelligence and other technologies to analyze, synthesize, dominate and use the observation data of multiple sensors or information sources obtained in time series under certain criteria to obtain a consistent interpretation and description of the measured object, and then realizing corresponding decisions and estimations, so that the system can obtain more sufficient information than each of its components. It can be seen that multi-source information is the processing object of data fusion, and coordinated optimization is the core of data fusion.

[0029] In the application of GIS in the power supply guarantee platform, a partially complete power GIS system platform has been established to support power supply guarantee work. These platforms can monitor the power grid status in real time, detect faults and abnormal conditions in a timely manner, and respond and repair quickly. At the same time, GIS technology can also assist in power grid planning and design, optimizing the layout and operation of the power system. Some platforms have also achieved cross-departmental, cross-regional, and cross-border data sharing and collaborative work, providing strong support for power grid management and maintenance. In addition, some power companies have begun to use intelligent operation and maintenance systems combined with GIS technology to achieve predictive maintenance and optimized management of power equipment. By real-time monitoring and analyzing equipment status and performance data, potential faults can be detected and processed in a timely manner, the equipment life can be extended, and the reliability of power supply can be improved. These platforms can intelligently analyze and predict the operation status of power equipment by integrating GIS technology, providing support for power companies to formulate scientific and reasonable maintenance strategies, reducing the probability of faults, and improving the reliability and utilization efficiency of equipment.

[0030] The risks of power supply guarantee in the new era present new characteristics. First, the impact of special events on power supply security is increasing. Second, the risks of power supply security are systemic. Third, there will be fundamental changes in power supply and load structure, and the vulnerability of the system itself is also the source of power supply security risks. Specifically, the risks of power supply guarantee are affected by multi-dimensional factors such as nature, society, and technology. The interaction between different factors leads to a complex trajectory of risk spatio-temporal evolution. Therefore, it is necessary to collect and organize historical data, reveal the correlations and influence mechanisms between different factors, depict the risk evolution law, and establish a multi-factor power supply guarantee linkage early warning system to identify potential risks. In addition, power supply guarantee faces various risks and potential hazards of faults and accidents, such as power line faults, equipment damage, natural disasters, etc. The internal links of power grid, power generation, load, and energy storage in the system are interdependent, resulting in a strong chain reaction when faults occur in the power system. At the same time, the current research on the risk situation awareness technology of power supply guarantee is still blank in aspects such as depicting the extreme event changes in the whole process considering the spatio-temporal dimension, the mechanism of risk derivation and conduction, the fine coupling of supply guarantee resilience assessment and risk evolution. The research on power supply guarantee resilience assessment and power supply guarantee early warning also needs to be strengthened urgently, and there are no effective countermeasures for the impact of risk spatio-temporal evolution on the system.

[0031] Many innovations and developments have been achieved in some power system visualization display platforms. By making full use of the powerful functions and technical advantages of the geographic information system, comprehensive monitoring, management, and decision support for the power system have been realized. These experiences and practices have positive reference significance for the development of other power system visualization fields. However, most of them are based on the geographic information system for scatter point distribution display, regional chart statistics, etc., and there is a lack of application in considering external factors of the power grid and the time series evolution of internal faults in the power grid operation.

[0032] Based on the above situation, the present application proposes a power risk situation awareness system, method, electronic device and storage medium. The following will make a detailed description of the present application in combination with embodiments and drawings.

[0033] As Figure 1 shown, it is an example diagram of the power risk situation awareness system of the present application, which may include, sequentially arranged from bottom to top: The device module is used to obtain the environmental data of the power system environment, the operation state data of the power system, and the geographical location associated data of the power system, which are jointly used as the collected data.

[0034] The device module is the basic layer of the power risk situation awareness platform and is responsible for collecting multi-dimensional data of the power system environment. Among them, to obtain environmental data, meteorological data of the area where the power system is located can be collected, such as temperature, humidity, wind speed, rainfall, etc. Monitor the concentration of environmental pollutants, such as PM2.5, SO 2 etc., and evaluate its impact on power equipment. Obtain geological information, such as seismic zone distribution, geological stability, etc., to evaluate the potential threat of geological disasters to the power system. To obtain operation state data, it may include real-time monitoring of key electrical parameters such as voltage, current, and frequency of the power system. Collect equipment operation state information, such as transformer oil temperature, switch state, line load, etc. Through the sensor network, obtain physical state data such as vibration and temperature of the equipment for fault warning. To obtain geographical location associated data, technologies such as GPS and GIS can be used to accurately record the geographical location of power facilities. Integrate geographical information system data, such as topographic maps, transportation networks, population distribution, etc., to provide a spatial basis for risk assessment. The device module in the present application can integrate a variety of sensors and monitoring technologies to achieve all-round and real-time data collection. It can also adopt a standardized data format to facilitate subsequent data processing and analysis.

[0035] The data module is used to store and manage the collected data.

[0036] The data module is responsible for storing, managing, and maintaining a large amount of data collected by the device module, and providing data support for the service module. In practical applications, an efficient database structure can be designed to store environmental data, operation state data, and geographical location data.

[0037] The service module is used to visually process the spatio-temporal data stored and managed in the data module, and perform resilience assessment and risk event situation awareness on the power system according to the collected data stored and managed in the data module.

[0038] The business module is the core layer of the power risk situation awareness platform, responsible for visualizing the spatio-temporal data in the data module, and conducting resilience assessment and risk event situation awareness. The business module can use visualization means such as charts, maps, and animations to display the operating status and spatio-temporal distribution of the power system. It can evaluate the recovery ability of the power system in the face of risks such as extreme weather and equipment failures based on historical data and real-time data. And calculate resilience indicators such as recovery time and loss degree to provide a basis for decision-making. It can also monitor abnormal events in the power system in real time, such as equipment failures and line overloads, and then predict the development trend and impact scope of risk events.

[0039] The application module is used to visually display the change trend of the spatio-temporal data after visualization processing. According to the resilience assessment results, it displays the change of power supply resilience under the whole process of risks, and according to the risk event situation awareness results, it conducts spatio-temporal development display of risk events.

[0040] The application module is the display layer of the power risk situation awareness platform, responsible for visually displaying the results processed by the business module, and providing risk management and decision-making support. In practical applications, through methods such as time axis and animation, it displays the whole process of risk events from occurrence to end. It highlights the change of power supply resilience during the risk process and evaluates the effectiveness of response measures. It can also dynamically display the spatio-temporal distribution and development trend of risk events on the map, provide risk warnings and emergency response suggestions, and assist decision-makers in formulating response strategies. It can also provide a user-friendly interface design, support users to customize the display content and views, and then allow users to customize the risk warning and emergency response processes according to actual needs.

[0041] Each module of the power risk situation awareness system of this application collaborates with each other to jointly achieve comprehensive monitoring, risk assessment and decision-making support for the power system. It can also improve the safety and reliability of the power system by integrating advanced technologies and algorithms, providing a strong guarantee for the sustainable development of the power industry.

[0042] As Figure 2 shown, it is a schematic top-level design diagram of the power risk situation awareness system architecture of this application, which may include an application layer, a business layer, a data layer, and a device layer arranged in sequence from bottom to top, corresponding to the application module, business module, data module, and device module in the foregoing embodiments respectively.

[0043] Device Layer: It includes a variety of Internet of Things (IoT) sensing devices, such as environmental monitoring terminals, system monitoring terminals, and geographical sensing terminals and other hardware facilities. The environmental monitoring terminals are mainly used to collect environmental data related to the power system, such as temperature, humidity, wind speed, wind direction, rainfall, snowfall, water level changes, etc. These data are crucial for evaluating the impact of natural factors on the power system. For example, extreme weather may damage power facilities, thus affecting the stability of the power system. The system monitoring terminals are mainly used to monitor the operating status of the power system, including but not limited to the operating parameters of key facilities such as power plants, substations, and transmission lines. The data that can be collected includes power load, voltage and current levels, frequency fluctuations, equipment health status, etc. The monitoring data helps to detect system anomalies in a timely manner and prevent potential risk events. The geographical sensing terminals are usually used to obtain location-related information, including GPS coordinates, topographical and geomorphic features, etc. Such terminals may combine GIS technology to provide geospatial analysis capabilities, helping to identify the spatial distribution of power facilities and their relationship with environmental factors. Location data can assist in risk assessment, such as understanding which areas are more vulnerable to natural disasters.

[0044] Data Layer: It is composed of environmental data, power grid operation data, and power grid GIS data, and uses time series databases, relational databases, distributed file systems, and spatial databases to store and manage the above data. Among them, the time series database can effectively store and retrieve a large amount of timestamp-tagged data, supporting fast query and analysis. Therefore, the time series database is used to store time series data, that is, continuous data with timestamps, such as temperature, humidity, wind speed, water level change data in environmental data and consumption data in the energy management system, etc. The relational database can handle transactional data operations well and support complex query requirements. Therefore, the relational database is mainly used to store structured data, usually with clear relationships between data, such as fuel inventory data, historical data of power grid operation, etc. The distributed file system can handle massive data and improve the efficiency of data storage and access through a distributed architecture. It is used to store unstructured or semi-structured data, such as remote sensing image data collected by sensors, etc. The spatial database (PostGIS) is a specialized GIS database management system that can not only store spatial data but also perform spatial analysis, etc. It is used to store geospatial data, that is, data containing relevant geographical coordinates and attributes, such as power grid GIS data, meteorological monitoring data (snowfall), etc.

[0045] Business layer: It includes three sub-modules: visualization of power spatio-temporal data, resilience assessment of power system, and situation awareness of risk events. Among them, the visualization of power spatio-temporal data is further divided into GIS visualization, meteorological monitoring map, and fuel supply and demand map, which can be realized by means of spatio-temporal data provided by the data layer and various visualization technologies; the resilience assessment of power system includes resilience indicators and resilience assessment, and realizes the comprehensive assessment of the resilience of the power system by setting a multi-level resilience assessment index system; the situation awareness of risk events covers two aspects: monitoring of risk event evolution and prediction of risk event evolution, and realizes the full spatio-temporal risk situation awareness of the power system by integrating the situation evolution data in the time dimension and space dimension.

[0046] In some embodiments of the present application, there are three sub-modules: visualization of power spatio-temporal data, resilience assessment of power system, and situation awareness of risk events. As Figure 3 shown, it is a schematic diagram of the visualization module of power spatio-temporal data, the resilience assessment module of power system, and the situation awareness module of risk events in the present application.

[0047] Among them, the visualization module of power spatio-temporal data is responsible for processing and displaying real-time data related to the power system, including real-time monitoring of climate data and fuel supply information under extreme weather such as drought, typhoon, and ice disaster, and visualizing them in the form of charts or maps. Specifically: Under drought weather, a time series database is used to store the water level change data of reservoirs and hydropower stations provided by water level sensors, and the water level monitoring situation and drought warning map are respectively displayed through time series charts and heat maps. Among them, the time series chart can clearly show the change of its water level over time, and the depth of color of the heat map can intuitively display the drought degree, and the darker the color, the more serious the drought.

[0048] In terms of fuel supply, a relational database and a time series database can be used to store the inventory data in the inventory management system of fuel supply and the consumption data in the energy management system respectively, and the fuel inventory is displayed in the form of a bar chart, and the dynamic balance between fuel supply and consumption is displayed in the form of a stacked area chart.

[0049] Under typhoon weather, a spatial database (PostGIS) is used to store meteorological monitoring data (wind speed, wind direction, air pressure, etc.) and facility geographical location data. The wind rose chart is used to display the wind speed and wind direction distribution, the radar chart is used to display the typhoon intensity, and the dynamic path chart is combined to display the typhoon path. At the same time, the GIS map and point markers are used to highlight the locations of affected facilities, and quickly locate the facilities affected by natural disasters.

[0050] Under ice disaster weather conditions, ice disaster-related data such as meteorological data (humidity, temperature, snowfall) are stored in a spatial database (PostGIS). The ice disaster risk level is displayed using a heat map, and the real-time snow and ice coverage is shown using remote sensing images, which use color coding to represent the coverage thickness and scope.

[0051] The power spatio-temporal data visualization module is used to obtain and visualize real-time data related to the power system. The data includes monitoring data of extreme weather conditions such as droughts, typhoons, and ice disasters, as well as data on fuel supply. For these different types of spatio-temporal data, an efficient method for data storage and visual display is provided to offer more intuitive monitoring data.

[0052] In the power system resilience assessment module, power system resilience generally refers to the ability of the system to resist damage from extreme events, absorb, adapt, and quickly recover afterwards. Among them, by selecting typical power risk events and based on the three stages of system fault defense, derated operation, and fault recovery, the power supply resilience assessment mechanism covering each link of power sources, power grids, loads, and energy storage is clarified. In the embodiments of this application, a resilience assessment mechanism can be preset in advance. The assessment mechanism considers the performance of the system in the three states of defense, response, and recovery, as well as the changes in power supply resilience of each link of the power sources, grids, loads, and energy storage, thereby constructing the resilience assessment indicators of the power system. These indicators are mainly divided into three aspects: defense force indicators, response force indicators, and recovery force indicators, to comprehensively evaluate the defense ability, recovery ability, and adaptation ability of the power system when facing emergencies.

[0053] The defense force indicator refers to the ability of the system to continue to provide stable power supply when some components fail. It is specifically measured by the distribution network defense time and the island support force.

[0054] (1) Distribution network defense time: When a distribution network fails, power supply to non-faulty areas is first restored through tie lines. Non-faulty areas that cannot be powered through tie lines operate in island mode using distributed power sources, energy storage, etc. The specific number of islands is provided by the system in real time. The sustainable time of island operation affects the reliability of user power consumption and reflects the flexible power supply ability of the distribution network containing distributed power sources. The island support force is evaluated by the island sustainable time coverage rate, that is:

[0055] In the formula, refers to the total island sustainable time coverage rate; N refers to the number of islands in the fault scenario, which is specifically determined according to the system; is the sustainable time of island i in the fault scenario; is the total time in the fault defense stage.

[0056]

[0057] In the formula, represents the total defense time of the distribution network; is the occurrence probability of the fault scenario n; is the defense time of the distribution network under the fault scenario n; N is the total number of fault scenarios.

[0058] The resilience index considers the persistence and randomness of disasters, as well as the uncertainty of renewable flexible energy and the time-varying characteristics of loads, and uses two indicators, namely the distribution network resistance rate and the system adaptability, to evaluate the resilience of the distribution network at different stages of disasters.

[0059] (1) The distribution network resistance rate refers to the ratio of the load that the distribution network can maintain to the normal level during the process from the start of an extreme disaster to the lowest point of the system performance, that is:

[0060] In the formula, represents the distribution network resistance rate; represents the occurrence time of the disaster; represents the end time of the disaster; represents the load that the distribution network can maintain at time t; represents the load in the system under normal conditions of the distribution network.

[0061] (2) The system adaptability refers to the ability to passively adjust to the negative impacts brought by a disruption event during the period from the initial performance decline to the lowest performance, and its main manifestation is the ability to mitigate and stop the performance decline. The strength of the adaptability is measured by the cumulative performance loss of the power grid system during the performance decline, that is:

[0062] In the formula, represents the system adaptability. The smaller its value, the smaller the performance loss of the power grid and the better the resilience; refers to the time when the performance begins to decline, corresponding to which is the initial performance of the power grid system; refers to the time when the power grid performance is the lowest, corresponding to which is the performance of the power grid system at that time.

[0063] The recovery index reflects the ability to fully utilize various resources to restore the power supply of critical loads through its own emergency mechanisms, such as self-healing or personnel and equipment scheduling, during the emergency recovery period. It specifically includes two indicators: the critical load recovery speed and the critical load power shortage rate. According to the change of the critical load power provided by the system over time, the following definitions are given for these two indicators.

[0064] (1) The critical load recovery speed reflects the amount of critical load recovered per unit time during emergency recovery:

[0065] Wherein, is the critical load recovery speed; represents the critical load power recovered in the th time period; is the unit system recovery time.

[0066] (2) The critical load power shortage rate indicates that during the recovery period, the critical load is powered on section by section according to the emergency plan. The ratio of the power shortage of the critical load to the total power supply during normal operation of the critical load as it recovers to normal power supply over time, that is:

[0067] Wherein, is the critical load power shortage rate; represents the critical load operating normally at time . The critical load power shortage rate reflects the degree of power supply interruption of the distribution network when taking emergency measures.

[0068] As Figure 4 shown, it is the performance response diagram obtained by the power risk situation awareness system of this embodiment.

[0069] Considering the above grid resilience evaluation indicators, the power system resilience evaluation module can consider different risk factors, quantify and evaluate the resilience level of the system, and provide a basis for the system's risk control. Finally, input the risk event name, occurrence time, and power supply resilience indicators, and the platform can intuitively display the changes in power supply resilience under the entire process of the risk.

[0070] The risk event situation awareness module consists of three parts: situation evolution monitoring, situation evolution prediction, and situation evolution dynamic warning. Among them, situation monitoring is the basis for power system risk situation awareness. An all-round situation monitoring map is formed through the collected real-time data and data fusion technology. First, based on an efficient and reliable real-time data acquisition system composed of various IoT sensing devices such as environmental monitoring terminals, system monitoring terminals, and geographical sensing terminals, it covers data in spatio-temporal dimensions such as meteorological data, power grid operation data, and geographical space data under various extreme conditions. At the same time, integrated modeling of spatio-temporal data is carried out, and data fusion technology is applied to integrate data from different sources. Finally, visualization technology is used to generate a comprehensive situation map. Situation evolution prediction is to predict potential risks in the power system through time series analysis and spatial analysis models. Based on the situation map of situation evolution monitoring, a spatio-temporal situation map of the whole process of risk dynamic evolution based on geographic information system is established from the time dimension and the spatial dimension. The evolution prediction in the time dimension relies on time series models and machine learning algorithms to predict the power risk trend in the future for a period of time. The evolution prediction in the spatial dimension combines GIS technology and uses spatial analysis models to predict the diffusion and influence area of risks in the geographical space. Precise risk prediction of the power system is carried out by combining the predictions in the time dimension and the spatial dimension. Situation evolution dynamic warning is to dynamically model the key nodes and transmission lines in the power system, apply complex network analysis methods, and predict the evolution process of risk events. Based on the spatio-temporal situation map of the whole process of risk dynamic evolution based on geographic information system and the information of situation evolution prediction, a multi-level warning mechanism is established, and different levels of warning information are sent in real time according to the risk level, providing more timely feedback for the decision-making layer.

[0071] The risk event situation awareness module provides an intuitive and interactive risk map through data integration, spatio-temporal data modeling, visualization design, interactive deduction, and high-performance computing, supporting the analysis and decision-making of risk evolution. A spatio-temporal situation map of the whole process of risk dynamic evolution based on geographic information system is established. Starting from the geo-information map and combining the characteristics of spatio-temporal data, the construction of a risk map with spatio-temporal situation map + interactive deduction is carried out.

[0072] Application layer: It mainly includes two functional modules: spatio-temporal data visualization display and spatio-temporal development display of risk events. Spatio-temporal data visualization display presents the real-time change trend of different types of data in different visualization ways. For example, a heat map is used to display the ice disaster risk level, and a GIS map is used to display the location information of affected facilities. In addition, the spatio-temporal development process display of risk events is based on the spatio-temporal situation map of the whole process of risk dynamic evolution based on geographic information system and the information of situation evolution prediction, and is realized with the help of spatio-temporal visualization technology.

[0073] This application can process multi-source and multi-dimensional data from both inside and outside the power grid, achieving full-process monitoring of power supply risks from occurrence to development, such as key factors like power supply-demand balance, grid stability, and the impact of natural disasters, enabling a comprehensive and detailed perception of the risk situation of the power system. The platform provides a new power system resilience assessment framework that covers the entire timeline from the initial trigger to the final impact of risks. By quantitatively evaluating the defense, response, and recovery capabilities of the system, this framework helps assess the recovery and adaptation capabilities of the power system in the face of emergencies. Furthermore, by integrating GIS technology and other advanced visualization means, a full-time and full-space dimension visualization platform that can dynamically display power supply risks and their evolution processes is designed. This not only enables decision-makers to clearly understand the current risk situation but also helps them foresee the development trends of future risks. For example, through the visualization function of the platform, decision-makers can view in real time the load conditions in a specific area, the operating status of equipment, and the impact of environmental factors on the power system. The platform of this application has powerful data visualization effects, can fuse and process multi-dimensional data from different sources, and intuitively display it in various forms such as charts and heat maps, helping users quickly understand the operating status and potential risks of the power system. Through the real-time data collection and update mechanism, it ensures that the displayed information is always the latest, supporting immediate decision-making. This can enhance the visualization experience of the platform, making the management and risk response of the power system more efficient and scientific.

[0074] In summary, this application not only improves the visualization and management capabilities of the power system but also helps power enterprises and decision-makers make accurate and scientific decisions, thereby enhancing the overall reliability and stability of the power system and promoting the sustainable development of the power system.

[0075] As Figure 5 shown, it is a schematic flowchart of a method for perceiving the power risk situation of this application, which may include: S101, obtaining environmental data of the environment where the power system is located, operating status data of the power system, and geographical location-related data of the power system, and jointly using them as the collected data; S102, storing and managing the collected data; S103, performing visualization processing on the stored and managed spatio-temporal data, and performing resilience assessment and risk event situation perception on the power system according to the collected data stored and managed in the data module; S104, visually displaying the change trend of the spatio-temporal data after visualization processing, displaying the change of power supply resilience under the whole process of risks according to the resilience assessment result, and performing spatio-temporal development display of risk events according to the risk event situation perception result.

[0076] In some embodiments of the power risk situation awareness method of the present application, the storage management may include using a time series database, a relational database, a distributed file system, and a spatial database to manage the storage of the collected data.

[0077] In some embodiments of the power risk situation awareness method of the present application, the time series database is used to manage the storage of continuous data with timestamps in the collected data; the relational database is used to manage the storage of structured data in the collected data; the distributed file system is used to manage the storage of unstructured data or semi-structured data in the collected data; the spatial database is used to manage the storage of geospatial data in the collected data.

[0078] In some embodiments of the power risk situation awareness method of the present application, visualizing the spatio-temporal data managed in the data module includes using different visualization methods to display the fuel supply situation data in the power system and the real-time monitoring data under extreme weather conditions managed in the data module.

[0079] In some embodiments of the power risk situation awareness method of the present application, the fuel supply situation data in the power system managed in the storage includes the inventory data in the inventory management system of fuel supply and the consumption data in the energy management system stored and managed in the relational database and the time series database; The visualization method of the fuel supply situation data in the business module may include displaying the fuel inventory in the form of a bar chart and showing the dynamic balance between fuel supply and consumption in the form of a stacked area chart.

[0080] In some embodiments of the power risk situation awareness method of the present application, the real-time monitoring data under extreme weather conditions managed in the storage may include: The water level change data of reservoirs and hydropower stations provided by water level sensors under drought meteorology stored and managed in the time series database; The meteorological monitoring data and facility geographical location data under typhoon meteorology stored and managed in the spatial database; The meteorological monitoring data under ice disaster meteorology stored and managed in the spatial database; The visualization method of the real-time monitoring data under extreme weather conditions in the business module includes: Showing the water level monitoring situation and the drought warning map through a time series chart and a heat map respectively; Showing the wind speed and wind direction distribution through a wind rose chart, showing the typhoon intensity through a radar chart, and combining a dynamic path chart to show the typhoon path, and highlighting the affected facility locations with the help of a GIS map and point markers to locate the facility locations affected by typhoon meteorology; The ice disaster risk level is displayed through a heat map, and the real-time ice and snow coverage is displayed using remote sensing images.

[0081] In some embodiments of the power risk situation awareness method of the present application, the resilience assessment includes assessing the defense index, the stress resistance index, and the recovery index.

[0082] In some embodiments of the power risk situation awareness method of the present application, assessing the defense index includes assessing the power distribution network defense time and the island support force; Assessing the stress resistance index includes assessing the power distribution network resistance rate and the system adaptability; Assessing the recovery index includes assessing the critical load recovery speed and the critical load power supply shortage rate.

[0083] In some embodiments of the power risk situation awareness method of the present application, the risk event situation awareness includes situation evolution monitoring, situation evolution prediction, and situation evolution dynamic early warning.

[0084] Embodiments of the present application further provide an electronic device, which may include one or more processors, a memory, and a communication interface.

[0085] Among them, the memory and the communication interface are coupled to the processor. For example, the memory and the communication interface may be coupled together through a bus.

[0086] Among them, the communication interface is used for data transmission with other devices. The memory stores computer program code. The computer program code includes computer instructions, and when the computer instructions are executed by the processor, the electronic device is caused to execute the steps of the above-mentioned power risk situation awareness method.

[0087] Among them, the processor may be a processor or a controller. For example, it may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the present disclosure. The processor may also be a combination for implementing computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc. The processor may be used to support the electronic device to execute the method steps provided in the above embodiments.

[0088] Among them, the bus can be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The above-mentioned bus can be divided into an address bus, a data bus, a control bus, etc.

[0089] A computer-readable storage medium provided by an embodiment of the present application stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned power risk situation perception method are realized.

[0090] The computer-readable storage medium involved in the present application includes a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium well-known in the technical field.

[0091] The above is only the preferred embodiment of the present application and is not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A power risk situation awareness system, characterized in that: Including from bottom to top: The equipment module is used to obtain environmental data of the environment in which the power system is located, the operating status data of the power system, and the geographical location data of the power system, which are used as the collected data; Data module, used for storage and management of collected data; The business module is used to visualize the spatiotemporal data stored and managed in the data module, and to conduct resilience assessment and risk event situation awareness of the power system based on the collected data stored and managed in the data module; The application module is used to visualize the changing trends of spatiotemporal data after visualization processing, to display the changes in the resilience of power supply under the whole risk process according to the resilience assessment results, and to display the spatiotemporal development of risk events according to the results of risk event situation awareness.

2. The power risk situation awareness system according to claim 1 is characterized in that: The storage management in the data module includes: The collected data is stored and managed using a time series database, a relational database, a distributed file system and a spatial database.

3. The power risk situation awareness system according to claim 2 is characterized in that: The time series database is used to store and manage continuous data with timestamps in the collected data; The relational database is used to store and manage structured data in the collected data; The distributed file system is used to store and manage unstructured data or semi-structured data in the collected data; The spatial database is used to store and manage the geographic spatial data in the collected data.

4. The power risk situation awareness system according to claim 1 is characterized in that: In the business module, visualization of the spatiotemporal data stored and managed in the data module includes: The fuel supply data in the power system stored and managed in the data module, as well as the real-time monitoring data under extreme weather conditions, are displayed in different visualization methods.

5. The power risk situation awareness system according to claim 4 is characterized in that: The data module stores and manages the fuel supply data in the power system, including the inventory data in the inventory management system of the fuel supply and the consumption data in the energy management system stored and managed in the relational database and the time series database; The visualization method of the fuel supply situation data in the business module includes: Fuel inventory is shown in a bar chart, and the dynamic balance between fuel supply and consumption is shown in a stacked area chart.

6. The power risk situation awareness system according to claim 4 is characterized in that: The real-time monitoring data under extreme weather conditions stored and managed in the data module includes: The water level change data of reservoirs and hydropower stations provided by water level sensors under drought weather conditions are stored and managed in the time series database; The meteorological monitoring data and facility geographic location data under typhoon weather conditions are stored and managed in the spatial database; Meteorological monitoring data under ice disaster weather conditions are stored and managed in the spatial database; The visualization method of the real-time monitoring data under the extreme weather conditions in the business module includes: Water level monitoring and drought warning maps are displayed through time series graphs and heat maps respectively; The wind rose diagram is used to display the wind speed and direction distribution, the radar diagram is used to display the typhoon intensity, and the dynamic path diagram is used to display the typhoon path. The GIS map and point markers are used to highlight the location of the affected facilities, which are used to locate the location of the facilities affected by the typhoon weather. The ice disaster risk level is displayed through heat maps, and remote sensing images are used to display the real-time ice and snow coverage conditions.

7. The power risk situation awareness system according to claim 1 is characterized by: The resilience assessment includes an assessment of defense indicators, strain indicators and recovery indicators.

8. The power risk situation awareness system according to claim 7 is characterized by: The evaluation of defense indicators includes evaluation of distribution network defense time and island support capacity; The assessment of resilience indicators includes the assessment of the distribution network’s resistance rate and system adaptability; The assessment of resilience indicators includes the assessment of critical load recovery speed and critical load shortage rate.

9. The power risk situation awareness system according to claim 1 is characterized in that: In the business module, risk event situation awareness includes situation evolution monitoring, situation evolution prediction and situation evolution dynamic early warning.

10. A method for sensing power risk situation, characterized in that: include: Obtain environmental data of the environment in which the power system is located, operating status data of the power system, and data related to the geographical location of the power system as collected data; Store and manage collected data; Visualize the spatiotemporal data stored and managed, and conduct resilience assessment and risk event situation awareness on the power system based on the collected data stored and managed in the data module; The changing trend of the spatiotemporal data after visualization processing is visualized, and based on the resilience assessment results, the changes in the resilience of power supply during the whole risk process are displayed. Based on the results of risk event situation awareness, the spatiotemporal development of risk events is displayed.

11. The method for electric power risk situation awareness according to claim 10, characterized in that: The storage management includes: The collected data is stored and managed using a time series database, a relational database, a distributed file system and a spatial database.

12. The power risk situation awareness platform according to claim 10, characterized in that: The visual processing of the stored and managed spatiotemporal data includes: The fuel supply data in the stored and managed power system and the real-time monitoring data under extreme weather conditions are displayed in different visualization methods.

13. The power risk situation awareness platform according to claim 10 is characterized by: The resilience assessment includes an assessment of defense indicators, strain indicators and recovery indicators.

14. The power risk situation awareness platform according to claim 10, characterized in that: The risk event situation awareness includes situation evolution monitoring, situation evolution prediction and situation evolution dynamic early warning.

15. An electronic device, characterized in that: include: A memory and one or more processors; the memory is coupled to the processor; wherein the memory stores computer program code, the computer program code includes computer instructions, and when the computer instructions are executed by the processor, the electronic device executes the steps of the power risk situation awareness method as described in any one of claims 10-14.

16. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the power risk situation awareness method as described in any one of claims 10-14 are implemented.

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