Apparatus and method for power grid simulation

Abstract

A power grid simulation device according to one embodiment disclosed in this document may include: an editing module that generates a digital twin-based virtual power system according to user settings; and a simulation module that performs a safety diagnosis simulation of the virtual power system based on at least one of a physical state, a time state, and a task state of the virtual power system.

Description

Technology Field

[0001] The various embodiments disclosed in this document relate to power grid safety diagnostic technology. Background Technology

[0002] High-voltage DC loads are increasing due to the expansion of electric vehicle fast chargers and Internet data centers (IDCs). Consequently, there are growing attempts to construct and operate next-generation transmission and distribution networks by running existing AC and DC power grids in parallel.

[0003] High-voltage power systems provide safety diagnostic monitoring for power grids and power facilities using IoT devices and sensors. The aforementioned safety diagnostic technology includes internal and external safety diagnostic technologies for transmission, substation, and distribution networks. For example, internal safety diagnostic technology may include the pre-detection of power system malfunctions and failures, and the detection of errors in system infrastructure (e.g., communication system failures). Additionally, external safety diagnostic technology may include power accidents caused by erroneous decisions of internal operators, and system damage caused by natural disasters and external intrusions.

[0004] Power systems not only pose risks due to high power consumption, but failures, errors, and safety accidents can also lead to inconvenience and accidents for users and related parties. For example, an unexpected system failure can lead to a chain reaction of failures in adjacent systems, raising concerns about a power grid blackout. Furthermore, because advanced power systems carry a high risk of failures, errors, and safety accidents due to their complexity, they require monitoring through advanced safety diagnostic technologies. The problem to be solved

[0005] Power systems require safety diagnosis through advanced simulation for the following reasons.

[0006] First, there is the scale and complexity of power grid safety diagnostic tasks. In power grid systems, various types of accidents occur, including not only sudden incidents in the power system and infrastructure but also human accidents caused by safety operators and physical chain accidents resulting from natural disasters. Therefore, power grid safety diagnostic simulation techniques must analyze these diverse tasks to provide customized safety diagnostic capabilities for each specific field.

[0007] Second, there is an issue regarding the application of cyber-physics simulation technology. Existing CPS technologies related to power grid analysis are currently used only in limited fields, such as analyzing the safety of systems during initial design or simulating accidents that have occurred. Real-time system anomaly monitoring requires more advanced AI-based CPS simulation technology. Furthermore, there is a need for human and physical safety diagnostic solutions that include worker safety, based on real-time power grid analysis.

[0008] To this end, advanced digital technologies, such as artificial intelligence, can be utilized for the safety diagnosis of power systems. For example, the diagnosis and monitoring of power systems can be upgraded by utilizing the latest ICT technologies, such as digital twins and cyber-physical technology.

[0009] Specifically, power grid operation and maintenance systems can utilize cyber-physical systems based on digital twins for power grid status analysis. However, conventional digital twin-based power grid operation and maintenance systems have used CPS technology in a limited manner for analyzing only parts of the power grid status and have provided simulations for specific tasks. Consequently, conventional digital twin-based power grid operation and maintenance systems have not been utilized for safety diagnostics of the entire power grid and suffer from poor service scalability.

[0010] The various embodiments disclosed in this document can provide a power grid simulation device and method capable of performing safety diagnosis simulations for various states through a virtual power system. means of solving the problem

[0011] A power grid simulation device according to one embodiment disclosed in this document may include: an editing module that generates a digital twin-based virtual power system according to user settings; and a simulation module that performs a safety diagnosis simulation of the virtual power system based on at least one of a physical state, a time state, and a task state of the virtual power system.

[0012] In addition, a power grid simulation device according to one embodiment disclosed in this document may include: a simulation module that performs a safety diagnosis simulation corresponding to at least one of a physical state, a time state, and a task state of a virtual power system based on a digital twin; and a visualization module that visualizes the results of the safety diagnosis simulation.

[0013] In addition, a power grid simulation method according to one embodiment disclosed in this document may include: an operation of creating a virtual power system related to a target power system based on a digital twin; and an operation of simulating at least one state among a physical state, a time state, and a task state of the virtual power system. Effects of the invention

[0014] According to the various embodiments disclosed in this document, safety diagnostic simulations for various states can be performed through a virtual power system. In addition, various effects that can be identified directly or indirectly through this document may be provided. Brief explanation of the drawing

[0015] Figure 1 shows a configuration diagram of a power grid simulation device according to one embodiment. FIG. 2 shows a detailed configuration diagram of an editing module according to one embodiment. FIG. 3 shows a detailed configuration diagram of a simulation module according to one embodiment. Figure 4 shows a detailed configuration diagram of a visualization module according to one embodiment. FIG. 5 is a flowchart of a power system simulation method according to one embodiment. Figure 6 shows an example of a risk diagnosis map visualization of a power grid simulation device according to one embodiment. FIG. 7 is a configuration diagram showing a computer system for implementing a power grid simulation method according to one embodiment of the present invention. In relation to the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Specific details for implementing the invention

[0016] Figure 1 shows a configuration diagram of a power grid simulation device according to one embodiment.

[0017] Referring to FIG. 1, a power grid simulation device (100) according to one embodiment may include an editing module (110), a simulation module (120), a visualization module (130), and a database (140). The editing module (110), the simulation module (120), and the visualization module (130) may be hardware modules or software modules that are included in at least one processor (e.g., the processor (710) of FIG. 7) or executed by at least one processor (710). In one embodiment, the power grid simulation device (100) may omit some components or include additional components. For example, the power grid simulation device (100) may not include at least one of the components of the editing module (110), the visualization module (130), or the database (140). Additionally, some of the components of the power grid simulation device (100) may be combined to form a single entity, while performing the same functions as the corresponding components prior to combination.

[0018] According to one embodiment, an editing module (110) may provide an editing interface for configuring a digital twin-based virtual power system. The editing interface may be for adding, connecting, and configuring power elements to be included in the virtual power system. The power elements may include at least some of the following: a main transformer, a circuit breaker, a disconnector, a busbar, a grounding device, an isolation device, a current transformer, an instrument transformer, a main line, a load, a gateway, and an energy storage system (ESS). For example, the editing interface may include an interface that allows editing the specifications of each power element (e.g., rating, winding ratio), input / output signals (e.g., input voltage and current), and connections between power elements.

[0019] According to one embodiment, the editing module (110) can generate a virtual power system (cyber power system) corresponding to an actual power system based on a digital twin according to user settings. For example, the editing module (110) can generate the virtual power system corresponding to user settings entered through an editing interface. In one embodiment, the digital twin technology can generate a virtual model corresponding to a physical object and support performing a prediction simulation by replicating various real data provided through the physical object into the virtual model. The digital twin technology can support predictive diagnosis and control of the physical object through the prediction simulation. The digital twin technology may be configured to include a cyber physical system. The cyber physical system may be a system that implements phenomena of the real physical world into a simplified model, analyzes the model based on processed data, and then applies the analysis results back to the physical world.

[0020] According to one embodiment, the editing module (110) can apply virtual power to the virtual power system according to user settings and generate training data (e.g., at least one state information and work safety information) related to the line or equipment included in the virtual power system. The detailed configuration of the editing module (110) will be described later with reference to FIG. 2.

[0021] According to one embodiment, the simulation module (120) can train a safety diagnosis simulation related to at least one state of a virtual power system based on training data generated by the editing module (110).

[0022] According to one embodiment, the simulation module (120) can simulate at least one state among a physical state, a time state, and a task state of a virtual power system. The physical state may include, for example, at least one physical state among heat, fire, and electricity. The time state may include, for example, at least one time state among a past state, a present state, or a future state. The task state may include, for example, at least one task state among anomaly diagnosis, predictive diagnosis, or classification diagnosis. The detailed configuration of the simulation module (120) will be described later with reference to FIG. 3.

[0023] According to one embodiment, the visualization module (130) can visualize the simulation results for a virtual power system by the simulation module (120). As a result, the visualization module (130) can visually output the results of the power system safety diagnosis. For example, the visualization module (130) can visualize and display at least one of the power grid, power equipment, and work safety status. As another example, the visualization module (130) can display the risk level of power equipment and workers using different colors. As yet another example, the visualization module (130) can visualize the results of the safety diagnosis for the virtual power system in the form of a risk map. Alternatively, the visualization module (130) can provide the results of the safety diagnosis in the form of a report (e.g., a risk matrix).

[0024] The database (140) may include various forms of volatile or non-volatile memory. For example, the database (140) may include ROM (read only memory) and RAM (random access memory). In one embodiment, the database (140) may be located inside or outside the processor, and the database (140) may be connected to the editing module (110), simulation module (120), and visualization module (130) through various known means. The database (140) may store various data used by at least one component of the power grid simulation device (100) (e.g., editing module (110), simulation module (120), visualization module (130)). The data may include, for example, input data or output data for software and related commands. For example, the database (140) may store at least one instruction and related data (e.g., various information, each model, simulation results) for providing power grid simulation services.

[0025] In this way, the power grid simulation device (100) according to one embodiment can provide a power grid state analysis for the entire virtual power system, as well as run a safety diagnosis simulation for multiple states including physical state, time state and task state, and provide a safety diagnosis solution related thereto (e.g., worker safety / design management guide).

[0026] FIG. 2 shows a detailed configuration diagram of an editing module according to one embodiment.

[0027] Referring to FIG. 2, an editing module (110) according to one embodiment may include a power element generator (111), a state information generator (113), a safety information generator (115), and a scenario generator (117). In one embodiment, some of the components of the editing module (110) are combined to form a single entity, and the functions of the corresponding components prior to combination may be performed identically.

[0028] According to one embodiment, a power element generator (111) can generate a virtual power system including power lines and power facilities according to user settings through an editing interface. The virtual power system may include a plurality of power elements (power lines or power facilities) among a main transformer, a circuit breaker, a disconnector, a busbar, a cable, a grounding device, an insulation device, a current transformer, an instrument transformer, a main line, a load, a gateway, and an energy storage system (ESS). The virtual power system may be modeled based on a digital twin corresponding to an actual power system (or power grid) that has already been implemented or is in the design stage.

[0029] According to one embodiment, a state information generator (113) can apply virtual power to a virtual power system according to user settings. The state information generator (113) can generate state information of the virtual power system while virtual power is applied. The state information may include, for example, at least one state information among physical state, time state, or task state of lines and facilities included in the virtual power system. The state information may further include information on the behavioral state of an operator in each state. The physical state may include, for example, at least one physical state among heat, fire, and electricity. The time state may include, for example, at least one time state among past state, present state, or future state. The task state may include, for example, at least one task state among anomaly diagnosis, predictive diagnosis, or classification diagnosis.

[0030] According to one embodiment, the safety information generator (115) can generate at least one work safety information among access restriction time, zone, distance, or space for a virtual power system according to user settings. The user settings related to the safety information generator (115) may relate to at least one work restriction condition among, for example, system operation guidelines for worker safety, worker safety management settings, and worker safety management settings based on safety accident management regulations and procedures.

[0031] According to one embodiment, the scenario generator (117) can generate a safety diagnosis scenario (or safety diagnosis data) based on user settings based on at least one state information and work safety information.

[0032] According to one embodiment, a user may input a first scenario setting for diagnosing the status and risk level of power equipment included in a virtual power system at the time of starting and ending the power system into an editing module (110) (e.g., an editing interface). Here, the set time state may be the time of starting and ending the power system, and the set task state may be a task for diagnosing the status and risk level of power equipment. In this case, the scenario generator (117) may generate a first safety diagnosis scenario for diagnosing the status and risk level of power equipment included in the virtual power system at the time of starting and ending the power system according to the first scenario setting. The first safety diagnosis scenario may include response measures according to the status and risk level of each power equipment at the time of starting and ending the power system. The response measures may include, for example, the distance from the power equipment in the normal and abnormal states of each power equipment, and a method for responding to an accident in the abnormal state.

[0033] According to one embodiment, the user may input a second scenario setting for safety diagnosis in the event of an electrical fire into the editing module (110). In this case, the scenario generator (117) may generate a second safety diagnosis scenario including worker separation distance data in the event of an electrical fire in the power system. According to one embodiment, the user may input a third scenario setting for safety diagnosis in the event of insulation breakdown in the power system due to flashover voltage in an abnormal arc state into the editing module (110). In this case, the scenario generator (117) may generate a third safety diagnosis scenario including worker separation distance data according to the state and risk level of the power system.

[0034] FIG. 3 shows a detailed configuration diagram of a simulation module according to one embodiment.

[0035] Referring to FIG. 3, a simulation module (120) according to one embodiment may include a physical state model (121), a time state model (123), a task state model (125), and a simulator (127). In one embodiment, some of the components of the simulation module (120) are combined to form a single entity, which can perform the same functions as the components prior to combination. For example, the physical state model (121), the time state model (123), and the task state model (125) may be included in the simulator (127) or the database (140). In one embodiment, the simulation module (120) may be modeled as it learns training data (e.g., state information, work safety information, and safety diagnosis scenarios) from an editing module (110).

[0036] According to one embodiment, the physical state model (121) may be a state model (or model) for analyzing at least one physical state among heat, fire, and electricity. The virtual physical state model (121) may include at least one physical state model among a thermal state model for analyzing heat generation of facilities included in the power system; a fire state model for analyzing fire generation in the power system caused by heat or an arc; and an electrical state model for analyzing the operation status of lines and nodes in the power system.

[0037] According to one embodiment, the time state model (123) may be a state model for diagnosing or predicting at least one time state among a past state, a future state, or a current state based on past data related to a virtual / real power system.

[0038] According to one embodiment, the task state model (125) may be a state model for determining at least one diagnostic task among anomalies, predictions, or classifications. For example, the task state model (125) may include at least one diagnostic model among a future state diagnostic model based on past data; a current state diagnostic model for missing nodes / lines based on past data; and a specific past state diagnostic model based on past data.

[0039] According to one embodiment, the simulator (127) can perform a safety diagnosis simulation for at least one state of a virtual power system using a physical state model (121), a time state model (123), and a task state model (125). For example, the simulator (127) can use the physical state model (121) to simulate a safety diagnosis related to heat, fire, or electricity of the virtual power system according to a safety diagnosis scenario. The simulator (127) can use the time state model (123) to simulate a safety diagnosis related to a time state according to a safety diagnosis scenario. The simulator (127) can use the task state model (125) to simulate a safety diagnosis related to a task state according to a safety diagnosis scenario (e.g., anomaly diagnosis, prediction diagnosis, classification diagnosis). As another example, the simulator (127) can predict the occurrence of anomalies in the future power system through specific power generation amounts and loads at the lines and nodes of the virtual power system according to a safety diagnosis scenario. In this regard, the simulator (127) can refer to the status information and work safety information of the virtual power system for simulation.

[0040] Figure 4 shows a detailed configuration diagram of a visualization module according to one embodiment.

[0041] Referring to FIG. 4, a visualization module (130) according to one embodiment may include an equipment safety visualization model (131, 133), a work safety visualization model (135), and a visualizer (137). The visualizer (137) may visualize simulation results in at least one form of text, symbols, or images. In one embodiment, some of the components of the visualization module (130) may be combined to form a single entity, while performing the same functions as the corresponding components prior to combination. For example, the equipment safety visualization model (131, 133) may include a power grid visualization model (131) and a power equipment visualization model (133).

[0042] The power grid visualization model (131) can visualize at least one state associated with at least one power grid among an AC grid, a DC grid, and an AC / DC mixed grid included in the target power system.

[0043] The power plant visualization model (133) can visualize time states and task states based on at least one physical state of computational fluid dynamics, fire dynamics, or heat transfer.

[0044] The work safety visualization model (135) may be for visualizing the maintenance and diagnosis of equipment by a worker. For example, the work safety visualization model (135) may visualize at least one of the work safety data, such as the restricted access time, restricted access zone, separation distance, or restricted access space for the worker's target power system.

[0045] The work safety visualization model (135) can be used to prevent workers from entering a specific area at a specific time or to monitor prohibited entry zones based on the degree of risk by visually displaying the work safety data.

[0046] According to one embodiment, the visualizer (137) can visualize the results of a safety diagnosis simulation using a power grid visualization model (131), a power equipment visualization model (133), and a work safety visualization model (135). For example, the visualizer (137) can generate a risk map of power equipment / power grid based on the simulation results of a virtual power system. The visualizer (137) can display a risk map of the virtual power system in two or three dimensions, for example, by displaying the risk levels of power equipment and workers in different colors. As another example, the visualizer (137) can provide the safety diagnosis results in the form of a report (e.g., a risk matrix). The risk matrix may, for example, visualize the risk potential (e.g., number of failures or probability of failure) and risk impact of power elements included in the virtual power system by classifying them.

[0047] In this way, the visualization module (130) according to one embodiment can support monitoring specific times and zones accessible to workers and performing safe work instructions based on the monitoring results by visually representing the results of the safety diagnosis simulation.

[0048] In this way, the power grid simulation device (100) according to one embodiment can greatly improve the convenience of safety diagnosis by generating a safety diagnosis scenario for a virtual power system, simulating the virtual power system based on the generated safety diagnosis scenario, and visualizing the simulation results.

[0049] In addition, the power grid simulation device (100) according to one embodiment processes safety diagnoses of the power grid and power facilities, safety diagnoses of workers, etc., collectively through the CPS simulation device, and allows the power grid safety manager to provide a real-time diagnostic evaluation of the operating status not only for workers but also for the entire power grid.

[0050] FIG. 5 is a flowchart of a power system simulation method according to one embodiment.

[0051] Referring to FIG. 5, in operation 510, the power grid simulation device (100) can generate a virtual power system for safety diagnosis based on a digital twin. For example, when a user inputs the configuration of the virtual power system (e.g., power elements and their settings) through the editing module (110), the editing module (110) can generate a virtual power system corresponding to the user settings.

[0052] In operation 520, when a scenario setting by a user is input, the power grid simulation device (100) can generate safety diagnosis scenarios and training data according to the scenario setting. For example, the editing module (110) can generate status information and work safety information of a virtual power system related to the scenario setting (or safety diagnosis scenario). The safety diagnosis scenario may, for example, determine the voltage magnitude, phase, and presence or absence of abnormalities for each line of the power system.

[0053] In operation 530, the power grid simulation device (100) can learn a safety diagnosis simulation of the power system based on a safety diagnosis scenario and training data. For example, the simulation module (120) can select a model according to the safety diagnosis scenario and learn a safety diagnosis simulation for the selected model based on the training data. The simulation module (120) can perform a safety diagnosis simulation according to the safety diagnosis scenario using the model configured as the learning result.

[0054] In operation 540, the power grid simulation device (100) can visualize the results of the safety diagnosis simulation using a visualization model corresponding to the task state. For example, the visualization module (130) can visualize the results of the safety diagnosis simulation using a visualization model according to the task state. As another example, the visualization module (130) can generate a risk map as it visualizes the results of the safety diagnosis simulation.

[0055] In operation 550, the power grid simulation device (100) can generate and output a result report based on the simulation results. The result report may include, for example, response measures (or guidance) for safety diagnosis of workers. The result report may include, for example, a risk matrix.

[0056] Figure 6 shows an example of a risk diagnosis map visualization of a power grid simulation device according to one embodiment.

[0057] In operation 610, the power grid simulation device (100) can generate a virtual power system corresponding to an actual power system according to user settings through the editing module (110).

[0058] In operation 620, the power grid simulation device (100) can build a simulation model (e.g., physical state model (121), time state model (123), and task state model (125)) by acquiring state information and work safety information of a virtual power system according to a safety diagnosis scenario and learning the acquired information. The simulation model may include models for performing a predictive diagnosis task and an anomaly diagnosis task of line voltage within the virtual power system by a simulator (127). The simulation model may include models for constructing a risk map based on an anomaly diagnosis threshold.

[0059] In operation 630, the power grid simulation device (100) can visualize the results of the virtual physical simulation, for example, in the form of a risk map.

[0060] In operation 640, the power grid simulation device (100) can generate a safety diagnosis result report based on an abnormality diagnosis threshold. The safety diagnosis result report may include, for example, a risk matrix that visualizes the risk potential (e.g., number of failures or probability of failure) and risk impact of power elements included in a virtual power system by classifying them. Accordingly, the operator can perform safe diagnosis and operation management of the actual power system based on the safety diagnosis result report.

[0061] In this way, the power grid simulation device (100) according to one embodiment can greatly improve the convenience of safety diagnosis by generating a safety diagnosis scenario for a virtual power system, simulating the virtual power system based on the generated safety diagnosis scenario, and visualizing the simulation results.

[0062] In addition, the power grid simulation device (100) according to one embodiment processes safety diagnoses of the power grid and power facilities, safety diagnoses of workers, etc., collectively through the CPS simulation device, and allows the power grid safety manager to provide a real-time diagnostic evaluation of the operating status not only for workers but also for the entire power grid.

[0063] FIG. 7 is a configuration diagram showing a computer system for implementing a power grid simulation method according to one embodiment of the present invention.

[0064] Referring to FIG. 7, a computer system (700) (e.g., the power grid simulation device (100) of FIG. 1) may include at least one of a processor (710) (e.g., the editing module (110), simulation module (120), and visualization module (130) of FIG. 1) communicating via a bus (770), a memory (730) (e.g., the database (140) of FIG. 1), an input interface device (750), an output interface device (760), and a storage device (740). The computer system (700) may also further include a communication device (720) coupled to a network. The processor (710) may be a central processing unit (CPU) or a semiconductor device that executes instructions stored in the memory (730) or the storage device (740). The memory (730) and the storage device (740) may include various forms of volatile or non-volatile storage media. For example, memory (730) may include ROM (read-only memory) and RAM (random access memory). In the embodiment of the present description, memory (730) may be located inside or outside the processor (710), and memory (730) may be connected to the processor (710) through various known means. Memory (730) is a volatile or non-volatile storage medium of various forms, and for example, memory (730) may include read-only memory (ROM) or random access memory (RAM).

[0065] The various embodiments of this document and the terms used therein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various modifications, equivalents, or substitutions of said embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of said items unless the relevant context clearly indicates otherwise. In this document, phrases such as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B or C,” “at least one of A, B and C,” and “at least one of A, B, or C” may each include any one of the items listed together in the corresponding phrase, or all possible combinations thereof. Terms such as “first,” “second,” or “first” or “second” may be used simply to distinguish a component from another corresponding component and do not limit the components in any other aspect (e.g., importance or order). Where any (e.g., 1st) component is referred to as “coupled” or “connected” to another (e.g., 2nd) component, with or without the terms “functionally” or “communicationly,” it means that said any component may be connected to said other component directly (e.g., via a wire), wirelessly, or through a third component.

[0066] As used herein, the term "module" may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be a component formed integrally, or a minimum unit of said component or a part thereof that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0067] Various embodiments of this document may be implemented as software (e.g., a program) comprising one or more instructions stored in a storage medium (e.g., the database (140) of FIG. 1) (e.g., internal memory or external memory) that can be read by a machine (e.g., a power grid simulation device). For example, a processor (e.g., processor (710)) of a device (e.g., power grid simulation device (100)) may call at least one of one or more instructions stored from a storage medium and execute it. This enables the device to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. A storage medium readable by the device may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' simply means that the storage medium is a tangible device and does not contain a signal (e.g., electromagnetic waves), and this term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily in the storage medium.

[0068] According to one embodiment, the method according to the various embodiments disclosed herein may be provided by being included in a computer program product. The computer program product may be traded between a seller and a buyer as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)) or an application store (e.g., Play Store). TM It can be distributed online (e.g., downloaded or uploaded) through ) or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created on a device-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

[0069] Components according to various embodiments of this document may be implemented in software or in hardware form, such as a digital signal processor (DSP), a field programmable gate array (FPGA), or an application-specific integrated circuit (ASIC), and may perform specific roles. The term "components" is not limited to software or hardware, and each component may be configured to reside in an addressable storage medium or configured to run one or more processors. As an example, components may include components such as software components, object-oriented software components, class components, and task components, as well as processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables.

[0070] According to various embodiments, each component (e.g., module or program) of the components described above may include a singular or multiple entities. According to various embodiments, one or more of the components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Generally or additionally, multiple components (e.g., module or program) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each of the components of the multiple components in the same or similar manner as those performed by the corresponding component among the multiple components prior to the integration. According to various embodiments, operations performed by the module, program, or other components may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

Claim 1 A power grid simulation device comprising: an editing module that generates a virtual power system corresponding to a digital twin-based actual power system according to user settings related to specifications of power elements, input / output signals, and mutual connections; a simulation module that performs a safety diagnosis simulation for multiple states including a physical state, a time state, and a task state of the virtual power system according to a safety diagnosis scenario; and a visualization module that visualizes work safety data regarding the state of the power grid and power equipment of the actual power system, and the time and area of ​​access available to workers, based on the results of the safety diagnosis simulation; wherein the editing module applies virtual power to the virtual power system to generate equipment state information and work state information of the power elements and work safety information according to work restriction conditions for the actual power system, generates a safety diagnosis scenario based on the equipment state information, the work state information, and the work safety information, and the safety diagnosis scenario includes worker response content according to the equipment state and risk information of the virtual power system. Claim 2 A power grid simulation device according to claim 1, wherein the editing module applies virtual power to the virtual power system according to the user settings and generates training data including at least one state information and work safety information related to a line or facility of the virtual power system, and the simulation module learns a safety diagnosis simulation related to the at least one state based on the training data. Claim 3 A power grid simulation device according to claim 1, wherein the editing module provides an editing interface for adding, connecting, and configuring the power elements, and generates the virtual power system corresponding to the user settings input through the editing interface, and the power elements include at least some of the power elements among a main transformer, a circuit breaker, a disconnector, a busbar, a grounding device, an isolation device, a current transformer, an instrument transformer, a main line, and a load. Claim 4 A power grid simulation device according to claim 1, wherein the editing module comprises: a first generator that generates at least one state information among equipment status information of the power elements or work status information for the power elements by applying the virtual power according to the user settings; a second generator that generates at least one work safety information among access restriction time, zone, distance, or space for a real power system corresponding to the virtual power system according to the user settings related to the work restriction conditions; and a third generator that generates a safety diagnosis scenario for the real power system based on the at least one state information and the work safety information. Claim 5 A power grid simulation device according to claim 1, wherein the simulation module includes a first state model for analyzing at least one physical state among heat, fire, and electricity, and performs a simulation of the physical state through the first state model. Claim 6 A power grid simulation device according to claim 1, wherein the simulation module includes a second state model for diagnosing or predicting at least one time state among a past state, a future state, and a present state based on past data related to the virtual power system, and performs a simulation of the time state through the second state model. Claim 7 A power grid simulation device according to claim 1, wherein the simulation module includes a third state model for analyzing at least one diagnostic task among anomaly diagnosis, predictive diagnosis, or classification diagnosis, and performs a simulation of the task state through the third state model. Claim 8 A power grid simulation device according to claim 1, further comprising a visualization module for visualizing simulation results for the virtual power system. Claim 9 A power grid simulation device according to claim 8, wherein the visualization module comprises at least one model for visualizing a power grid among at least one AC grid, DC grid, and AC / DC mixed grid included in the virtual power system; at least one model for visualizing a time state and a task state based on at least one physical state among computational fluid dynamics, fire dynamics, or heat transfer; or at least one model for visualizing at least one work safety data among access restriction time, zone, distance, or space of the virtual power system, and visualizing the simulation results through the at least one model. Claim 10 A power grid simulation device comprising: a simulation module that performs a safety diagnosis simulation for multiple states including a physical state, a time state, and a task state of a virtual power system according to a safety diagnosis scenario based on a digital twin corresponding to an actual power system; and a visualization module that visualizes work safety data regarding the state of the power grid and power equipment of the actual power system, and the time and area where a worker can access, based on the results of the safety diagnosis simulation, wherein the safety diagnosis scenario is generated by applying virtual power to the virtual power system to generate equipment state information and work state information of power elements included in the virtual power system and work safety information according to work restriction conditions for the actual power system corresponding to the virtual power system, and is generated based on the equipment state information, the work state information, and the work safety information, and includes worker response details according to the equipment state and risk information of the virtual power system. Claim 11 A power grid simulation device according to claim 10, wherein the simulation module includes a first state model related to the analysis of at least one physical state among heat, fire, and electricity, and performs a safety diagnosis simulation corresponding to the physical state through the first state model. Claim 12 A power grid simulation device according to claim 10, wherein the simulation module includes a second state model related to time diagnosis or prediction of at least one of a past state, a future state, and a present state based on past data related to an actual power system corresponding to the virtual power system, and performs a safety diagnosis simulation corresponding to the time state through the second state model. Claim 13 A power grid simulation device according to claim 10, wherein the simulation module includes a third state model related to at least one diagnostic task among anomaly diagnosis, predictive diagnosis, or classification diagnosis, and performs a safety diagnosis simulation corresponding to the task state through the third state model. Claim 14 A power grid simulation device according to claim 10, wherein the visualization module comprises a first model for visualizing the multiple states associated with at least one power grid among an AC grid, a DC grid, and an AC / DC mixed grid included in the virtual power system. Claim 15 A power grid simulation device according to claim 10, wherein the visualization module comprises a second model for visualizing a time state and a task state based on at least one physical state of computational fluid dynamics, fire dynamics, or heat transfer. Claim 16 A power grid simulation device according to claim 10, wherein the visualization module comprises a third model for visualizing at least one of the access restriction time, zone, distance, or space of the virtual power system. Claim 17 A power grid simulation device according to claim 10, wherein the visualization module visualizes the results of the safety diagnosis simulation in the form of a risk map. Claim 18 A power grid simulation device according to claim 10, wherein the visualization module displays the degree of risk to power equipment and workers by distinguishing colors in the results of the safety diagnosis simulation. Claim 19 A power grid simulation device according to claim 10, wherein the visualization module generates a risk matrix for each power element of the virtual power system based on the results of the safety diagnosis simulation. Claim 20 A power grid simulation method comprising: an operation of creating a virtual power system related to a target power system based on a digital twin according to user settings related to specifications of power elements, input / output signals, and mutual connections; an operation of simulating multiple states including a physical state, a time state, and a task state of the virtual power system according to a safety diagnosis scenario; and an operation of visualizing work safety data regarding the state of the power grid and power equipment of the actual power system corresponding to the virtual power system, and the time and area where a worker can access, based on the result of the simulation operation, wherein the safety diagnosis scenario is generated by applying virtual power to the virtual power system to generate equipment state information and work state information of the power elements and work safety information according to work restriction conditions for the actual power system, and is generated based on the equipment state information, the work state information, and the work safety information, and includes worker response details according to the equipment state and risk information of the virtual power system.

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