Method and system for dispatching emergency power supply resources

Abstract

The application discloses an emergency power supply resource scheduling management method and system, and relates to the technical field of artificial intelligence, which comprises the following steps: collecting user side data in real time, identifying power failure risks of the user side data, generating power supply demand signals if there are power failure risks, searching for emergency power supply resources within a preset range value, obtaining available power supply data of each emergency power supply resource within a time window, determining that resources are sufficient if a supply-demand gap of core guarantee resources is less than or equal to 0, generating a resource allocation scheme based on a preset rule, and the resource allocation scheme comprises scheduling instructions of the core guarantee resources, determining that resources are tight if the supply-demand gap of the core guarantee resources is greater than 0, calculating comprehensive weight values of the priority of each emergency power supply resource, generating a resource allocation scheme based on the comprehensive weight values, and the resource allocation scheme comprises scheduling instructions of each emergency power supply resource, which is helpful for solving the problem that the prior art cannot realize precise and efficient emergency power supply guarantee.

Description

Emergency power supply resource dispatch and management methods and systems Technical Field

[0001] This invention relates to the field of artificial intelligence technology, and in particular to a method and system for scheduling and managing emergency power supply resources. Background Technology

[0002] During power system operation, the probability of sudden power outages increases with the expansion of the power grid and the frequency of extreme weather events, severely impacting many sectors such as industrial production, medical treatment, and residential life. For example, a sudden power outage in a factory production line may lead to equipment damage and the scrapping of batches of products, while a power outage in a hospital's intensive care unit directly threatens the lives of patients. Traditional emergency power resource dispatching models have significant shortcomings, relying mainly on human experience for decision-making. This not only results in slow response times, making it difficult to meet the time requirements in emergency scenarios, but also leads to low accuracy in resource matching.

[0003] Therefore, it is necessary to develop a management method that can detect power outage risks in real time, accurately generate power demand signals, and achieve optimized resource scheduling. Summary of the Invention

[0004] In view of this, the present invention proposes a method and system for scheduling and managing emergency power supply resources, which can achieve precise and efficient emergency power supply guarantee.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for dispatching and managing emergency power supply resources, comprising:

[0007] Real-time collection of user-side data; identification of power outage risks based on the user-side data; if a power outage risk exists, generation of a power supply demand signal; the power supply demand signal includes a time identifier, a spatial identifier, an emergency power supply demand identifier, and an emergency power supply duration identifier.

[0008] Using the spatial marker as the center, locate emergency power supply resources within a preset range.

[0009] A time window is determined based on the time identifier and the emergency power supply duration identifier, and the available power supply data of each emergency power supply resource within the time window is obtained.

[0010] Based on the emergency power supply demand identifier and the emergency power supply duration identifier, the power supply capacity and power supply duration to be supplied are determined. Based on the power supply capacity, power supply duration and available power supply data, the supply and demand gap corresponding to each emergency power supply resource is calculated. Based on the supply and demand gap, the emergency power supply resources are divided into core guarantee resources and supplementary transitional resources.

[0011] If the supply-demand gap of the core guarantee resources is less than or equal to 0, the resources are determined to be sufficient, and a resource allocation scheme is generated based on preset rules. The resource allocation scheme includes scheduling instructions for the core guarantee resources.

[0012] If the supply-demand gap of the core guarantee resources is greater than 0, then the resources are determined to be in short supply. The comprehensive weight value of the priority of each emergency power supply resource is calculated, and a resource allocation plan is generated based on the comprehensive weight value. The resource allocation plan includes the scheduling instructions of each emergency power supply resource.

[0013] Based on the above technical solution, the present invention can be further improved as follows:

[0014] Optionally, the step of identifying power outage risks from the user-side data, and generating a power demand signal if a power outage risk exists, includes:

[0015] A digital twin of the user-side electrical system is constructed, and real-time user-side data is synchronized to the digital twin.

[0016] A pre-built risk diffusion model is trained based on historical power outage data, and the variation patterns of voltage decay curves and frequency decay curves under different fault scenarios are simulated based on the risk diffusion model.

[0017] Integrate the risk diffusion model into the digital twin;

[0018] When there is a risk of power outage, the digital twin is activated to perform simulation calculations, generate voltage decay curves and frequency decay curves of the user-side electrical system within a preset time, determine the risk critical point based on the voltage decay curves and frequency decay curves, and generate a power supply demand signal based on the risk critical point.

[0019] Optionally, determining the risk threshold based on the voltage decay curve and the frequency decay curve includes:

[0020] The predicted voltage value at time t is calculated using formula (1);

[0021] Formula (1);

[0022] In the formula, Let be the predicted voltage value at time t. This is the initial voltage value when the risk is triggered. Here, t represents the voltage attenuation coefficient, and t represents the time after the risk is triggered. This is the lowest voltage value before the system crashed;

[0023] When the predicted voltage value is first less than or equal to the voltage safety threshold, the corresponding time t is the voltage risk critical point;

[0024] The predicted frequency value at time t is calculated using formula (2);

[0025] Formula (2);

[0026] In the formula, The frequency prediction value at time t. This is the initial frequency value when the risk is triggered. This is the fundamental coefficient for the frequency attenuation rate. The decay acceleration coefficient is denoted by t, where t is the time after the risk is triggered.

[0027] When the prediction frequency When the frequency threshold is first lower than or equal to the frequency safety threshold, the corresponding time t is the frequency risk critical point.

[0028] When the voltage risk threshold is less than the frequency risk threshold, the voltage dimension threshold shall be used as the risk threshold.

[0029] When the frequency risk threshold is less than the voltage risk threshold, the frequency-dimensional threshold shall be taken as the risk threshold.

[0030] Optionally, the generation of the power demand signal further includes:

[0031] The time stamp is calculated using formula (3);

[0032] Formula (3);

[0033] In the formula, For time identification, The moment when the risk of a power outage is identified. This is the risk threshold.

[0034] Calculate the emergency power supply demand identifier using formula (4);

[0035] Formula (4);

[0036] In the formula, For emergency power supply needs identification, The user's current total load, Voltage risk factor, For frequency risk coefficient, For scene coefficients.

[0037] Optionally, the step of calculating the supply and demand gap corresponding to each emergency power supply resource based on the power supply capacity to be supplied, the power supply duration to be supplied, and the available power supply data includes:

[0038] The capacity gap is calculated based on the user-side standby power supply capacity and the maximum power that emergency power supply resources can stably output during the standby power supply period.

[0039] Calculate the total energy to be supplied based on the capacity and duration of power supply;

[0040] The energy gap is calculated based on the total energy to be supplied and the total energy that emergency power resources can provide during the waiting period.

[0041] The comprehensive supply and demand gap is calculated based on the capacity gap, capacity gap weighting coefficient, energy gap, and energy gap weighting coefficient.

[0042] Optionally, the step of calculating the comprehensive weight value of the priority of each emergency power supply resource, and generating a resource allocation scheme based on the comprehensive weight value, includes:

[0043] The comprehensive weight value is calculated using formula (5);

[0044] Formula (5);

[0045] In the formula, W is the comprehensive weight value, W0 is the basic adaptation weight, S is the supply and demand matching coefficient, R is the response time coefficient, C is the cost-effectiveness coefficient, and Q is the power supply stability coefficient.

[0046] Optionally, the emergency power supply resource scheduling and management method further includes:

[0047] Real-time data collection of key nodes on the power supply side;

[0048] The key node data of the power supply side is used to identify fault risks. If there are fault risks, the fault point is determined. Based on the power grid topology map, the user-side cluster associated with the fault point is located, and the affected user side is generated.

[0049] The risk time for the fault to spread to the affected user side is calculated based on the power supply path length from the fault point to the user side, the fault propagation rate, and the action time of the existing protection device. A power demand signal for the affected user side is generated, which includes a time identifier, a spatial identifier, an emergency power demand identifier, and an emergency power supply duration identifier. The time identifier is determined based on the risk time.

[0050] An emergency power supply resource dispatch and management system, comprising:

[0051] The signal generation module is used to collect user-side data in real time, identify power outage risks from the user-side data, and generate a power demand signal if a power outage risk exists. The power demand signal includes a time identifier, a spatial identifier, an emergency power demand identifier, and an emergency power duration identifier.

[0052] The resource search module is used to search for emergency power supply resources within a preset range, centered on the spatial identifier.

[0053] The data acquisition module is used to determine a time window based on the time identifier and the emergency power supply duration identifier, and to acquire the available power supply data of each emergency power supply resource within the time window;

[0054] The gap calculation module is used to determine the power supply capacity and power supply duration based on the emergency power supply demand identifier and the emergency power supply duration identifier, calculate the supply and demand gap corresponding to each emergency power supply resource based on the power supply capacity, the power supply duration and the available power supply data, and divide the emergency power supply resources into core guarantee resources and supplementary transition resources based on the supply and demand gap;

[0055] The scheduling and management module is used to determine that resources are sufficient if the supply-demand gap of the core guarantee resources is less than or equal to 0, and to generate a resource allocation scheme based on preset rules. The resource allocation scheme includes scheduling instructions for the core guarantee resources. If the supply-demand gap of the core guarantee resources is greater than 0, the module determines that resources are scarce, calculates the comprehensive weight value of the priority of each emergency power supply resource, and generates a resource allocation scheme based on the comprehensive weight value. The resource allocation scheme includes scheduling instructions for each emergency power supply resource.

[0056] An electronic device includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor executes the computer program to implement the steps of the method described herein.

[0057] A non-transitory computer-readable storage medium having a computer program stored thereon, the computer program implementing the steps of the method when executed by a processor.

[0058] The present invention has the following advantages:

[0059] The emergency power supply resource scheduling and management method of this invention solves the problem of delayed passive response in traditional scheduling by collecting user-side data in real time and actively identifying power outage risks to generate multi-dimensional power demand signals in advance. It dynamically retrieves resources centered on spatial identifiers and filters available data using time windows, improving resource matching accuracy. Based on the supply-demand gap, resources are divided into core guarantee resources and supplementary transitional resources, and differentiated scheduling strategies are adopted for scenarios with sufficient or scarce resources, ensuring critical needs are met while reducing resource waste. When resources are sufficient, core guarantee resources are prioritized for scheduling; when resources are scarce, scheduling is optimized through comprehensive weighting, ensuring priority satisfaction of critical needs while avoiding resource waste. This improves overall resource utilization efficiency and enhances the scientific nature of decision-making, effectively improving the reliability and efficiency of emergency power supply, and is suitable for scenarios with high requirements for power supply continuity. Attached Figure Description

[0060] For illustrative and not limiting purposes, the present invention will now be described in conjunction with embodiments and accompanying drawings, wherein:

[0061] Figure 1 is a flowchart illustrating the emergency power supply resource scheduling and management method according to an embodiment of the present invention.

[0062] Figure 2 is a schematic diagram of the main components of the emergency power supply resource dispatch and management system in an embodiment of the present invention;

[0063] Figure 3 is a schematic diagram of the physical structure of the electronic device provided by the present invention. Detailed Implementation

[0064] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0065] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be used interchangeably where appropriate for the embodiments of the invention described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0066] It should be noted that, where there is no conflict, the embodiments and features of the present invention can be combined with each other. The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0067] Figure 1 is a flowchart illustrating the emergency power supply resource scheduling and management method according to an embodiment of the present invention. As shown in Figure 1, the emergency power supply resource scheduling and management method provided in this embodiment of the present invention includes the following steps S101 to S106.

[0068] S101 collects user-side data in real time, identifies power outage risks based on the user-side data, and generates a power demand signal if a power outage risk exists.

[0069] The power demand signal includes time identifier, spatial identifier, emergency power demand identifier, and emergency power supply duration identifier.

[0070] A digital twin of the user-side electrical system is constructed, and real-time user-side data is synchronized to the digital twin.

[0071] A pre-built risk diffusion model is trained based on historical power outage data, and the variation patterns of voltage decay curves and frequency decay curves under different fault scenarios are simulated based on the risk diffusion model.

[0072] By integrating the risk diffusion model into the digital twin, and simulating voltage / frequency attenuation curves under different fault scenarios, "predicting before power outages" can be achieved.

[0073] When there is a risk of power outage, the digital twin is activated to perform simulation calculations, generate voltage decay curves and frequency decay curves of the user-side electrical system within a preset time, determine the risk critical point based on the voltage decay curves and frequency decay curves, and generate a power supply demand signal based on the risk critical point.

[0074] For example, when a transformer failure risk is identified, the digital twin can simulate the process of the voltage decreasing from 220V to 180V (the safety threshold) within the next 10 minutes, thus determining the risk threshold in advance.

[0075] Determining the risk threshold based on the voltage decay curve and frequency decay curve includes:

[0076] The predicted voltage value at time t is calculated using formula (1);

[0077] Formula (1);

[0078] In the formula, Let be the predicted voltage value at time t. This is the initial voltage value when the risk is triggered. Here, t represents the voltage attenuation coefficient, and t represents the time after the risk is triggered. This is the lowest voltage value before the system crashed;

[0079] When the predicted voltage value is first less than or equal to the voltage safety threshold, the corresponding time t is the voltage risk critical point;

[0080] For applications lacking real-time monitoring of complex parameters (such as simplified monitoring in small power grids or emergency power supply scenarios), this formula only requires the "initial voltage value". Voltage attenuation coefficient Minimum voltage "With just three parameters, the voltage deterioration trend can be quickly estimated, providing a low-complexity, rapidly deployable calculation model for emergency power supply resource scheduling, meeting the need for 'rapid decision-making over accurate modeling' in engineering scenarios."

[0081] The predicted frequency value at time t is calculated using formula (2);

[0082] Formula (2);

[0083] In the formula, The frequency prediction value at time t. This is the initial frequency value when the risk is triggered. This is the fundamental coefficient for the frequency attenuation rate. The decay acceleration coefficient is denoted by t, where t is the time after the risk is triggered.

[0084] When the prediction frequency When the frequency threshold is first lower than or equal to the frequency safety threshold, the corresponding time t is the frequency risk critical point.

[0085] When the voltage risk threshold is lower than the frequency risk threshold, the voltage-level threshold is used as the risk threshold; when the frequency risk threshold is lower than the voltage risk threshold, the frequency-level threshold is used as the risk threshold. The earlier of the two is taken as the final risk threshold to ensure sufficient emergency preparedness time is reserved.

[0086] This segmented characteristic, in simplified scenarios (such as a single unit with approximately linear load characteristics), can roughly cover the process of frequency change from "rapid deterioration" to "rate stability".

[0087] It should be noted that formulas (1) and (2) are only applicable to the initial stage of emergency power supply dispatch when "the risk has been triggered and the system continues to deteriorate, complex parameters cannot be obtained, and the goal is to make a quick rough estimate"; if they are to be used for precise power grid analysis, they must be corrected in combination with actual parameters such as system impedance, power factor, and unit inertia.

[0088] Generating a power demand signal also includes:

[0089] The time stamp is calculated using formula (3);

[0090] Formula (3);

[0091] In the formula, For time identification, The moment when the risk of a power outage is identified. This serves as a critical risk point; the latest start time for power supply is clearly defined using time markers.

[0092] in the formula Defined as the "latest start time of power supply," its essence is "the moment when the risk of power outage is identified." "and risk threshold" Between these points, a safety redundancy time point is set to ensure that the power supply action can be completed before the system crashes.

[0093] It is the moment when the risk is first identified (such as the initial time of fault triggering or parameter exceeding the limit).

[0094] It is the "critical duration" from risk triggering to system collapse (i.e. the time span from risk deterioration to irreversibility); multiplying it by a coefficient of 0.5 essentially takes half of the total duration from risk identification to collapse as a redundancy buffer, ensuring that the "latest power supply start time" falls in the first half of the critical duration, reserving sufficient operation time for the power supply strategy execution (such as time-consuming links such as resource scheduling and switching actions).

[0095] This formula depends on the following preset conditions:

[0096] The system's process from risk identification to collapse deteriorates linearly (i.e., the rate of deterioration is uniform within the critical timeframe), therefore taking half the timeframe as a representative buffer is appropriate; the execution time of the power supply strategy (such as resource scheduling, closing operations, etc.) is less than... ×0.5), to ensure that Power can be restored before a collapse occurs.

[0097] In simplified scenarios that satisfy the above assumptions (such as small isolated power grids and emergency temporary power supply systems), the formula can provide an operable quantitative standard for the "latest power supply time" by "sacrificing some accuracy" in exchange for "decision efficiency," thus possessing engineering rationality.

[0098] Calculate the emergency power supply demand identifier using formula (4);

[0099] Formula (4);

[0100] In the formula, For emergency power supply needs identification, The user's current total load, Voltage risk factor, For frequency risk coefficient, For scene coefficients;

[0101] S102 locates emergency power supply resources within a preset range, centered on a spatial marker.

[0102] Using user-side spatial identifiers (such as latitude and longitude) as the center, locate emergency power supply resources (such as mobile generators and energy storage vehicles) within a preset range (such as 5 kilometers) to reduce dispatch distance.

[0103] S103 determines the time window based on the time stamp and the emergency power supply duration stamp, and obtains the available power supply data of each emergency power supply resource within the time window.

[0104] Based on the time identifier (power supply start and end time) and emergency power supply duration, the "available time period" that resources must meet is determined, and resources already occupied within this window are excluded to improve matching efficiency.

[0105] S104. Determine the power supply capacity and power supply duration based on the emergency power supply demand identifier and the emergency power supply duration identifier. Calculate the supply and demand gap corresponding to each emergency power supply resource based on the power supply capacity, power supply duration, and available power supply data. Divide the emergency power supply resources into core guarantee resources and supplementary transitional resources based on the supply and demand gap.

[0106] The capacity gap is calculated based on the user-side standby power supply capacity and the maximum power that emergency power supply resources can stably output during the standby power supply period.

[0107] Calculate the total energy to be supplied based on the capacity and duration of power supply;

[0108] The energy gap is calculated based on the total energy to be supplied and the total energy that emergency power resources can provide during the waiting period.

[0109] The comprehensive supply and demand gap is calculated based on the capacity gap, capacity gap weighting coefficient, energy gap, and energy gap weighting coefficient.

[0110] One example:

[0111] Scenario: A top-tier hospital faces the risk of power outage due to a power grid failure and requires emergency power supply.

[0112] User-side requirements:

[0113] Power supply capacity (Ensuring the instantaneous power requirements of critical equipment such as operating rooms and ICUs);

[0114] standby power duration (Estimated repair time).

[0115] Emergency power supply resources:

[0116] Dispatch one mobile emergency generator with the following parameters:

[0117] Maximum power that can be stably output ;

[0118] Total energy available during the standby power supply period (Electricity generated when the fuel tank is full).

[0119] Power output efficiency (Consider cable loss and equipment operating losses).

[0120] Energy transfer efficiency (Same as power output efficiency, because the source of loss is the same).

[0121] Weighting coefficients:

[0122] Hospital settings have high requirements for instantaneous power stability (e.g., surgical equipment cannot be powered off), therefore:

[0123] Capacity gap weighting coefficient ;

[0124] Energy Gap Weighting Coefficient .

[0125] 1. Capacity gap calculation

[0126] formula: ;

[0127] Substitute the data:

[0128] ;

[0129] Note: The effective output power of the emergency generator is 552kW, which is lower than the 800kW required by the hospital, resulting in a capacity shortfall of 248kW. Additional resources are needed to meet the instantaneous power demand.

[0130] 2. Calculation of total energy to be supplied

[0131] formula: ;

[0132] Substitute the data: ;

[0133] Note: The hospital's total power demand during the 6-hour emergency period is 4800 kWh.

[0134] 3. Energy Deficit Calculation

[0135] formula: ;

[0136] Substituting the data: Energy deficit = 660 kWh

[0137] Note: The effective power supply energy of the emergency generator is 4140kWh, which is lower than the total demand of 4800kWh, resulting in an energy gap of 660kWh.

[0138] 4. Calculation of the overall supply and demand gap

[0139] formula: ;

[0140] Substituting the data: Overall supply and demand gap = 412.8;

[0141] Results Analysis

[0142] The overall supply-demand gap is 412.8, indicating that the current single emergency generator cannot meet the hospital's needs;

[0143] At least 248kW of instantaneous power needs to be added (e.g., by adding a 300kW generator).

[0144] At least 660 kWh of total energy needs to be replenished (e.g., by adding energy storage equipment or increasing generator fuel).

[0145] S105. If the supply-demand gap of core guarantee resources is less than or equal to 0, then the resources are deemed sufficient. A resource allocation plan is generated based on preset rules. The resource allocation plan includes scheduling instructions for core guarantee resources.

[0146] Instructions are generated according to preset rules (such as prioritizing nearby scheduling and prioritizing highly stable resources) to quickly deploy core security resources.

[0147] S106. If the supply-demand gap of core guarantee resources is greater than 0, then resources are determined to be in short supply. Calculate the comprehensive weight value of the priority of each emergency power supply resource, and generate a resource allocation plan based on the comprehensive weight value. The resource allocation plan includes the scheduling instructions of each emergency power supply resource.

[0148] The comprehensive weight value is calculated using formula (5);

[0149] Formula (5);

[0150] In the formula, W is the overall weight value. The basic adaptation weights are: S is the supply and demand matching coefficient, R is the response time coefficient, C is the cost-effectiveness coefficient, and Q is the power supply stability coefficient.

[0151]

[0152] Overall weight ranking: Mains backup circuit (0.4617) > Diesel generator (0.3629) > Energy storage station (0.2822).

[0153] Emergency power supply resource dispatch and management methods also include:

[0154] Real-time data collection of key nodes on the power supply side;

[0155] The key node data of the power supply side is used to identify fault risks. If there are fault risks, the fault point is determined. Based on the power grid topology map, the user-side cluster associated with the fault point is located, and the affected user side is generated.

[0156] The risk time for the fault to spread to the affected user side is calculated based on the power supply path length from the fault point to the user side, the fault propagation rate, and the action time of the existing protection device. A power demand signal for the affected user side is generated, which includes a time identifier, a spatial identifier, an emergency power demand identifier, and an emergency power supply duration identifier. The time identifier is determined based on the risk time.

[0157] Figure 2 is a schematic diagram of the main components of the emergency power supply resource dispatch and management system according to an embodiment of the present invention. As shown in Figure 2, the emergency power supply resource dispatch and management system 1 provided in this embodiment of the present invention includes a signal generation module 10, a resource search module 20, a data acquisition module 30, a gap calculation module 40, and a dispatch and management module 50.

[0158] Signal generation module 10 is used to collect user-side data in real time, identify power outage risks from the user-side data, and generate a power supply demand signal if there is a power outage risk. The power supply demand signal includes a time identifier, a spatial identifier, an emergency power supply demand identifier, and an emergency power supply duration identifier.

[0159] Resource search module 20 is used to search for emergency power supply resources within a preset range, centered on the spatial identifier;

[0160] The data acquisition module 30 is used to determine a time window based on the time identifier and the emergency power supply duration identifier, and to acquire the available power supply data of each emergency power supply resource within the time window;

[0161] The gap calculation module 40 is used to determine the power supply capacity and power supply duration based on the emergency power supply demand identifier and the emergency power supply duration identifier, calculate the supply and demand gap corresponding to each emergency power supply resource based on the power supply capacity, the power supply duration and the available power supply data, and divide the emergency power supply resources into core guarantee resources and supplementary transition resources based on the supply and demand gap;

[0162] The scheduling management module 50 is used to determine that resources are sufficient if the supply-demand gap of the core guarantee resources is less than or equal to 0, and to generate a resource allocation scheme based on preset rules, wherein the resource allocation scheme includes scheduling instructions for the core guarantee resources; if the supply-demand gap of the core guarantee resources is greater than 0, the module determines that resources are scarce, calculates the comprehensive weight value of the priority of each emergency power supply resource, and generates a resource allocation scheme based on the comprehensive weight value, wherein the resource allocation scheme includes scheduling instructions for each emergency power supply resource.

[0163] Figure 3 is a schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention. As shown in Figure 3, the electronic device 60 includes: a processor 601, a memory 602, and a bus 603.

[0164] The processor 601 and the memory 602 communicate with each other via the bus 603.

[0165] The processor 601 is used to call program instructions in the memory 602 to execute the methods provided in the above-described method embodiments, and to execute the methods provided in the embodiments of the present invention.

[0166] This embodiment provides a non-transitory computer-readable storage medium that stores computer instructions, which cause a computer to execute the method provided in this embodiment of the invention.

[0167] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various storage media capable of storing program code, such as ROM, RAM, magnetic disk, or optical disk.

[0168] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for scheduling and managing emergency power supply resources, characterized in that, include: Real-time collection of user-side data; identification of power outage risks based on the user-side data; if a power outage risk exists, generation of a power supply demand signal; the power supply demand signal includes a time identifier, a spatial identifier, an emergency power supply demand identifier, and an emergency power supply duration identifier. The generation of the power demand signal also includes: calculating the time marker using formula (3); Formula (3); where, For time identification, The moment when the risk of a power outage is identified. The risk threshold is defined by formula (4); the emergency power supply demand indicator is calculated. Formula (4); where, For emergency power supply needs identification, The user's current total load, Voltage risk factor, For frequency risk coefficient, The following steps are taken: Using the spatial identifier as the center, emergency power supply resources are located within a preset range; a time window is determined based on the time identifier and the emergency power supply duration identifier, and available power supply data for each emergency power supply resource within the time window is obtained; the pending power supply capacity and pending power supply duration are determined based on the emergency power supply demand identifier and the emergency power supply duration identifier; the supply-demand gap corresponding to each emergency power supply resource is calculated based on the pending power supply capacity, the pending power supply duration, and the available power supply data; based on the supply-demand gap, the emergency power supply resources are divided into core guarantee resources and supplementary transitional resources; if the supply-demand gap of the core guarantee resources is less than or equal to 0, the resources are deemed sufficient, and a resource allocation scheme is generated based on preset rules, the resource allocation scheme including scheduling instructions for the core guarantee resources; if the supply-demand gap of the core guarantee resources is greater than 0, the resources are deemed scarce, the comprehensive weight value of the priority of each emergency power supply resource is calculated, and a resource allocation scheme is generated based on the comprehensive weight value, the resource allocation scheme including scheduling instructions for each emergency power supply resource.

2. The emergency power supply resource dispatching and management method according to claim 1, characterized in that, The process of identifying power outage risks from the user-side data and generating a power demand signal if a power outage risk exists includes: constructing a digital twin of the user-side electrical system and synchronizing real-time collected user-side data to the digital twin; training a pre-constructed risk diffusion model based on historical power outage data and simulating the changing patterns of voltage decay curves and frequency decay curves under different fault scenarios based on the risk diffusion model; integrating the risk diffusion model into the digital twin; and, when a power outage risk exists, activating the digital twin to perform simulation calculations, generating voltage decay curves and frequency decay curves of the user-side electrical system within a preset time period, determining a risk threshold based on the voltage decay curves and frequency decay curves, and generating a power demand signal based on the risk threshold.

3. The emergency power supply resource dispatching and management method according to claim 2, characterized in that, The determination of the risk critical point based on the voltage decay curve and frequency decay curve includes: calculating the voltage prediction value at time t using formula (1); Formula (1); where, Let be the predicted voltage value at time t. This is the initial voltage value when the risk is triggered. Here, t represents the voltage attenuation coefficient, and t represents the time after the risk is triggered. The lowest voltage value before system collapse; when the voltage prediction value is less than or equal to the voltage safety threshold for the first time, the corresponding time t is the voltage risk critical point; the frequency prediction value at time t is calculated by formula (2); Formula (2); where, The frequency prediction value at time t. This is the initial frequency value when the risk is triggered. This is the fundamental coefficient for the frequency attenuation rate. The decay acceleration factor is t, where t is the time after the risk is triggered; when the prediction frequency is... When the frequency risk threshold is first lower than or equal to the frequency safety threshold, the corresponding time t is the frequency risk critical point; when the voltage risk critical point is lower than the frequency risk critical point, the voltage dimension critical point is used as the risk critical point; when the frequency risk critical point is lower than the voltage risk critical point, the frequency dimension critical point is used as the risk critical point.

4. The emergency power supply resource dispatching and management method according to claim 1, characterized in that, The calculation of the supply and demand gap corresponding to each emergency power supply resource based on the pending power supply capacity, the pending power supply duration, and the available power supply data includes: calculating the capacity gap based on the user-side pending power supply capacity and the maximum power that the emergency power supply resources can stably output within the pending power supply duration; calculating the total energy pending power supply based on the pending power supply capacity and the pending power supply duration; calculating the energy gap based on the total energy pending power supply and the total energy that the emergency power supply resources can provide within the pending power supply duration; and calculating the comprehensive supply and demand gap based on the capacity gap, the capacity gap weighting coefficient, the energy gap, and the energy gap weighting coefficient.

5. The emergency power supply resource dispatching and management method according to claim 1, characterized in that, The calculation of the comprehensive weight value of the priority of each emergency power supply resource, and the generation of a resource allocation scheme based on the comprehensive weight value, includes: calculating the comprehensive weight value through formula (5); Formula (5); where W is the comprehensive weight value, W0 is the basic adaptation weight, S is the supply and demand matching coefficient, R is the response time coefficient, C is the cost-effectiveness coefficient, and Q is the power supply stability coefficient.

6. The emergency power supply resource dispatching and management method according to claim 1, characterized in that, The emergency power supply resource scheduling and management method further includes: real-time collection of key node data on the power supply side; fault risk identification of the key node data on the power supply side; if a fault risk exists, determining the fault point; locating the user-side cluster associated with the fault point based on the power grid topology map, and generating the affected user side; calculating the risk time for the fault to spread to the affected user side based on the power supply path length from the fault point to the user side, the fault propagation rate, and the action time of existing protection devices, and generating a power supply demand signal for the affected user side, wherein the power supply demand signal includes a time identifier, a spatial identifier, an emergency power supply demand identifier, and an emergency power supply duration identifier, and determining the time identifier based on the risk time.

7. A system for dispatching and managing emergency power supply resources, characterized in that, include: The signal generation module is used to collect user-side data in real time, identify power outage risks from the user-side data, and generate a power supply demand signal if there is a power outage risk. The power supply demand signal includes a time identifier, a spatial identifier, an emergency power supply demand identifier, and an emergency power supply duration identifier. The signal generation module is also used to calculate the time identifier using formula (3). Formula (3); where, For time identification, The moment when the risk of a power outage is identified. The risk threshold is defined by formula (4); the emergency power supply demand indicator is calculated. Formula (4); where, For emergency power supply needs identification, The user's current total load, Voltage risk factor, For frequency risk coefficient, The scenario coefficient; the resource search module is used to search for emergency power supply resources within a preset range, centered on the spatial identifier; The data acquisition module is used to determine a time window based on the time identifier and the emergency power supply duration identifier, and to acquire the available power supply data of each emergency power supply resource within the time window; The gap calculation module is used to determine the power supply capacity and power supply duration based on the emergency power supply demand identifier and the emergency power supply duration identifier, calculate the supply and demand gap corresponding to each emergency power supply resource based on the power supply capacity, the power supply duration, and the available power supply data, and divide the emergency power supply resources into core guarantee resources and supplementary transition resources based on the supply and demand gap; the scheduling management module is used to determine that the resources are sufficient if the supply and demand gap of the core guarantee resources is less than or equal to 0, and generate a resource allocation scheme based on preset rules, the resource allocation scheme including the scheduling instructions of the core guarantee resources; if the supply and demand gap of the core guarantee resources is greater than 0, determine that the resources are tight, calculate the comprehensive weight value of the priority of each emergency power supply resource, and generate a resource allocation scheme based on the comprehensive weight value, the resource allocation scheme including the scheduling instructions of each emergency power supply resource.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 6.

9. A non-transitory computer-readable medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 6.

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