A power distribution network key user power outage influence intelligent evaluation method, system, device and medium

Abstract

The application discloses a kind of power distribution key user power failure influence intelligent evaluation method, system, equipment and medium, comprising: in response to key user power failure event, obtain user load and position information, determine available power car or bypass car resource and its cable parameter;Build the extended power grid model containing virtual synchronous machine node and equivalent pi type circuit branch;Perform three-phase alternating current power flow calculation, voltage deviation check and bypass cable temperature rise prediction are carried out on each feasible power supply path;Exclude the path that exists thermal stability out of limit, voltage out of limit or switch operation conflict;The remaining path is sorted according to total operation time length, and the structured instruction set is output. The method avoids the safety risk caused by idealized modeling, and ensures that the output scheme has engineering implementability.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method, system, equipment and medium for intelligent assessment of the impact of power outages on key users in a distribution network. Background Technology

[0002] Currently, distribution networks typically employ isolated assessment strategies when responding to power outages affecting critical users. Some dispatching systems rely solely on the switching operations of internal interconnecting switches within the distribution network for load transfer, verifying the capacity margin of the transfer path through power flow calculations. However, they fail to consider how to supplement external mobile resources when the transfer path capacity is insufficient or the topology is infeasible. Other power supply solutions separately call upon generator trucks or bypass trucks, treating them as independent emergency power sources and directly connecting them to the user side, ignoring their electrical coupling with the grid transfer path. This fragmented approach leads to two prominent problems: First, the flexible cables used by bypass trucks have significant impedance, causing noticeable voltage drops and line losses in short-distance 10kV distribution networks. Simplifying them as impedance-free connections in the assessment model distorts power flow calculations and masks the risk of cable overheating. Second, existing solutions generally lack mechanisms to verify the integrity of input data. When communication interruptions cause abnormal switch states or load data, the system still generates recovery schemes based on incorrect topologies, easily outputting unexecutable or even dangerous operational instructions. Therefore, there is an urgent need for a comprehensive evaluation method that can accurately model and embed uninterrupted power supply resources into the power grid analysis process, while also possessing data robustness and operational feasibility. Summary of the Invention

[0003] In view of the aforementioned existing problems, the present invention is proposed.

[0004] Therefore, this invention provides a method, system, device, and medium for intelligent assessment of the impact of power outages on critical users in distribution networks. This addresses the problems of existing technologies failing to consider the electrical coupling relationship between external resources and the power grid, leading to distorted power flow calculations, masking the risk of cable overheating, and lacking a verification mechanism for abnormal data, which can easily result in the output of dangerous commands.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for intelligent assessment of the impact of power outages on critical users in a distribution network, comprising: In response to a power outage event of a critical user in the distribution network, the load power and geographical coordinates of the critical user are obtained, and a set of uninterrupted power operation resources is selected from the uninterrupted power operation resource library based on the load power and geographical coordinates. The real-time topology of the distribution network is obtained, the mobile generator vehicle in the uninterruptible power supply resource set is modeled as a virtual synchronous machine node, the mobile bypass vehicle is modeled as an equivalent circuit branch containing line impedance parameters, and the virtual synchronous machine node and the equivalent circuit branch are embedded into the real-time topology of the distribution network to construct an extended power grid model. Based on the extended power grid model, perform three-phase AC power flow calculations, identify feasible power supply paths to the key users, and perform thermal stability checks on each feasible power supply path to generate a set of power supply vulnerability values ​​containing the check results. The elements corresponding to feasible power supply paths in the power supply vulnerability set are sorted in ascending order according to the total operation time of the required switching operation sequence and output as the power outage impact assessment result for critical users.

[0006] As a preferred embodiment of the intelligent assessment method for the impact of power outages on key users in the distribution network described in this invention, the step of selecting a set of power outage operation resources from the power outage operation resource library based on the load power and geographical coordinates includes: In response to the resource status query command of the live-line work resource scheduling platform, obtain all live-line work resources with a status of standby; Select live-line work resources with rated output capacity greater than the combined apparent power of active and reactive loads of key users from the live-line work resource library as preliminary candidate resources. Based on the current location of the preliminary candidate resources and the geographic coordinates of the key users, the road network travel distance is calculated using a geographic information system; Preliminary candidate resources whose road network travel distance is less than the preset maximum dispatch radius are included in the power outage operation resource set.

[0007] As a preferred embodiment of the intelligent assessment method for the impact of power outages on key users in the distribution network described in this invention, the construction of the extended power grid model includes: In response to the inclusion of mobile generators in the live-line working resource set, a virtual synchronous machine node is added to the real-time topology connection relationship of the distribution network for the candidate access bus node of the mobile generator. The rated voltage of the virtual synchronous machine node is equal to the nominal voltage of the candidate access bus node, and the rated frequency is the power frequency. In response to the inclusion of a mobile bypass vehicle in the live-line work resource set, a virtual branch is added between the two candidate access bus nodes of the mobile bypass vehicle. The series impedance of the virtual branch is calculated from the length, resistance per unit length, and reactance per unit length of the bypass flexible cable. The ground admittance is calculated from the capacitance per unit length and length of the bypass flexible cable, forming an equivalent π-type circuit model. The newly added virtual synchronous machine node is integrated with the model actually generated in the equivalent π-type circuit branch into the real-time topology connection relationship of the distribution network to form an extended power grid model.

[0008] The beneficial effects of this preferred technical solution are that by modeling the mobile generator and the bypass operation vehicle as virtual synchronous machine nodes and equivalent circuit branches respectively, their electrical characteristics can be accurately simulated and integrated into the real-time topology of the distribution network, thereby providing an accurate model basis for subsequent power flow calculation and safety verification, and improving the feasibility of path planning and the reliability of evaluation results.

[0009] As a preferred embodiment of the intelligent assessment method for the impact of power outages on key users in the distribution network described in this invention, the step of performing three-phase AC power flow calculation includes: Based on the node injection power, branch impedance parameters and transformer turns ratio in the extended power grid model, a set of nonlinear power flow equations in polar coordinates is established. The Newton-Raphson iterative algorithm is used to solve the nonlinear power flow equations to obtain the voltage magnitude and phase angle of all bus nodes, and the active and reactive power of all branches. Determine whether the voltage amplitude of the power supply bus nodes of critical users deviates from the allowable deviation range of the nominal voltage; In response to a voltage amplitude deviation exceeding the allowable range, a voltage over-limit flag is marked in the power supply vulnerability element of the corresponding feasible power supply path; The thermal stability check includes: For the virtual branch consisting of a mobile bypass vehicle in the extended power grid model, the active current and reactive current flowing through the virtual branch; Calculate the steady-state temperature rise of the bypass flexible cable based on the active current, reactive current, resistance value of the bypass flexible cable, and ambient temperature. Compare the steady-state temperature rise with the long-term allowable maximum operating temperature of the insulation material of the bypass flexible cable; In response to a steady-state temperature rise that causes the cable conductor temperature to exceed the maximum long-term allowable operating temperature, a thermal stability limit violation flag is marked in the power supply vulnerability element of the corresponding feasible power supply path. The generated power supply vulnerability set also includes: Identify the sequence of tie switch operations involved in each feasible power supply path, including a list of switches that need to be opened and a list of switches that need to be closed. Based on the anti-misoperation interlocking rule base of the distribution network automation system, verify whether there are logical conflicts and equipment status conflicts in the operation sequence of the tie switch; In response to the existence of a conflict, mark the operation as infeasible in the power supply vulnerability element of the corresponding feasible power supply path.

[0010] Based on the thermal stability over-limit flag and the operation infeasibility flag, a verification result vector corresponding to the feasible power supply path is constructed, and the verification result vectors of all feasible power supply paths are summarized to form the power supply vulnerability set.

[0011] The beneficial effects of this preferred technical solution are that by performing thermal stability verification on the bypass cable and anti-misoperation interlocking logic verification on the switch operation sequence, potential risk paths can be accurately identified and eliminated from both the physical safety of the equipment and the operation logic of the power grid. This ensures that the final output power supply path meets both electrical safety constraints and has practical operability on site, effectively avoiding the risk of secondary accidents caused by equipment overheating or misoperation.

[0012] As a preferred embodiment of the intelligent assessment method for the impact of power outages on critical users in the distribution network as described in this invention, the step of sorting the elements corresponding to feasible power supply paths in the power supply vulnerability set in ascending order according to the total operation time of the required switching operation sequence and outputting them as the assessment result of the power outage impact on critical users includes: Determine the average single operation time for each switch in the tie switch operation sequence; The total operation time is obtained by summing the average single operation time of all switches in the tie switch operation sequence. For recovery plans that include mobile generator trucks, an additional standard time will be added for grid connection and commissioning of the generator trucks; For restoration solutions that include mobile bypass vehicles, an additional standard time is added for bypass cable laying and connection; The total operation time, the standard time for grid connection and commissioning of the generator truck, and the standard time for laying and connecting the bypass cable will be used as the final ranking criteria. Based on the final ranking criteria, feasible power supply paths are sorted in ascending order. In response to the existence of at least one feasible power supply path in the power supply vulnerability set that is not marked with a voltage limit exceeding flag, a thermal stability limit exceeding flag, and an operation infeasibility flag, the feasible power supply path with the smallest final ranking criteria value is selected. Generate a structured instruction set that includes the uninterrupted power supply resource type corresponding to the selected feasible power supply path, candidate access bus nodes, tie switch operation sequence, and expected power restoration time.

[0013] As a preferred embodiment of the intelligent assessment method for the impact of power outages on key users in the distribution network described in this invention, the method further includes the following steps before obtaining the load power and geographical coordinates of the key users: In response to data anomaly events reported by the power distribution network data acquisition and monitoring system, a data integrity verification procedure is initiated. The load power data is interpolated and corrected based on the distribution network topology and the historical load ratio of adjacent nodes; the data anomaly events include data missing events and data jump events. Based on the temporal continuity of the switch operation event sequence and the electrical island connectivity, logical consistency correction is performed on the switch opening and closing states. The interpolated load power data and the switch opening and closing status corrected by logic consistency are used as input data to construct the extended power grid model.

[0014] As a preferred embodiment of the intelligent assessment method for the impact of power outages on key users in the distribution network described in this invention, the method further includes, after performing three-phase AC power flow calculations based on the extended power grid model: Perform a single-component fault scan on the extended power grid model to simulate scenarios where key components in the extended power grid model fail to operate. The key components include the main transformer, the feeder, and the virtual branch.

[0015] Secondly, this invention provides an intelligent assessment system for the impact of power outages on critical users in a distribution network, comprising: The pre-screening module is used to respond to power outage events of key users in the distribution network, obtain the load power and geographical coordinates of the key users, and screen out a set of power-on-line work resources from the power-on-line work resource library based on the load power and geographical coordinates. An extended topology modeling module is used to obtain the real-time topology of the distribution network, model the mobile generator vehicle in the uninterruptible power supply resource set as a virtual synchronous machine node, model the mobile bypass vehicle as an equivalent circuit branch containing line impedance parameters, and embed the virtual synchronous machine node and the equivalent circuit branch into the real-time topology of the distribution network to construct an extended power grid model. The power supply path analysis module is used to perform three-phase AC power flow calculations based on the extended power grid model, identify feasible power supply paths to the key users, perform thermal stability checks on each feasible power supply path, and generate a set of power supply vulnerability values ​​containing the check results. The emergency plan sorting and decision-making module is used to sort the elements corresponding to feasible power supply paths in the power supply vulnerability set in ascending order according to the total operation time of the required switching operation sequence, and output the result as the power outage impact assessment result for key users.

[0016] Thirdly, the present invention provides an electronic device, comprising: Memory, used to store programs; A processor is configured to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the intelligent assessment method for the impact of power outages on critical users in the distribution network.

[0017] Fourthly, the present invention provides a computer-readable storage medium, comprising: when the program is executed by a processor, the steps of implementing the intelligent assessment method for the impact of power outages on key users in the distribution network.

[0018] The beneficial effects of this invention are as follows: By responding to power outages of critical users, acquiring their load power and geographical coordinates, and then selecting a set of uninterrupted power supply (UPS) resources from a UPS resource database, this invention achieves the technical effect of accurately matching available emergency resources based on actual user needs and geographical location, avoiding the blindness of resource scheduling. Furthermore, by modeling mobile generators as virtual synchronous machine nodes and mobile bypass vehicles as equivalent circuit branches containing line impedance parameters, and embedding these virtual nodes and branches into the real-time topology of the distribution network to construct an extended grid model, this invention achieves the technical effect of accurately simulating temporarily connected emergency power supplies and bypass cables, providing a basis for subsequent power flow calculations and... Safety verification provides an accurate model foundation. By performing three-phase AC power flow calculations based on an extended power grid model, identifying feasible power supply paths, and performing thermal stability verification on each feasible power supply path to generate a power supply vulnerability set, the technical means of comprehensively evaluating the feasibility of power supply paths from multiple dimensions such as electrical performance, equipment safety, and operational logic are achieved. This effectively identifies and eliminates paths with safety hazards or operational conflicts. By eliminating paths that fail verification, sorting the remaining paths in ascending order according to total operation time, and outputting the optimal path, the technical means of quickly selecting the emergency solution with the shortest power restoration time while ensuring safety is achieved, minimizing the impact of power outages on critical users. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a basic flowchart illustrating a method for intelligent assessment of the impact of power outages on critical users in a distribution network, as provided in one embodiment of the present invention. Detailed Implementation

[0020] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail 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 protection scope of the present invention.

[0021] Example 1, referring to Figure 1 As an embodiment of the present invention, a method for intelligent assessment of the impact of power outages on critical users in a distribution network is provided, comprising: S100: In response to a power outage event of a critical user in the distribution network, obtain the load power and geographical coordinates of the critical user, and based on the load power and geographical coordinates, select a set of uninterrupted power operation resources from the uninterrupted power operation resource library; S200: Obtain the real-time topology of the distribution network, model the mobile generator vehicle in the uninterruptible power supply resource set as a virtual synchronous machine node, model the mobile bypass vehicle as an equivalent circuit branch containing line impedance parameters, and embed the virtual synchronous machine node and the equivalent circuit branch into the real-time topology of the distribution network to construct an extended power grid model. S300: Perform three-phase AC power flow calculation based on the extended power grid model, identify feasible power supply paths to the key users, and perform thermal stability verification on each feasible power supply path to generate a set of power supply vulnerability containing the verification results; S400: The elements corresponding to feasible power supply paths in the power supply vulnerability set are sorted in ascending order according to the total operation time of the required switching operation sequence and output as the power outage impact assessment result for critical users.

[0022] It should be noted that when dealing with power outages affecting critical users, distribution networks typically employ an isolated assessment strategy, relying solely on internal tie switches or individual mobilization of mobile resources, neglecting the significant impedance characteristics of bypass flexible cables and their electrical coupling with the grid transfer path. This fragmented approach leads to distorted power flow calculations and masks the risk of cable overheating if bypass cables are simplified to impedance-free connections in the assessment model. Furthermore, existing solutions generally lack mechanisms to verify the integrity of input data. When communication interruptions cause abnormal switch states or load data, the system still generates recovery schemes based on incorrect topologies, easily resulting in the output of unexecutable or even dangerous operational commands. In addition, traditional methods often treat mobile resources as ideal power sources, ignoring their physical access delays and on-site implementation costs, leading to seemingly fast but actually slow recovery schemes that fail to meet the timeliness requirements for rapid power restoration for critical users.

[0023] Therefore, addressing the aforementioned issues where existing technologies cannot simultaneously consider the electrical coupling relationship between external resources and the power grid, leading to distorted power flow calculations, masking the risk of cable overheating, and lacking a verification mechanism for abnormal data, thus easily generating dangerous commands, the following steps (S100-S400) are employed. By constructing an extended power grid model including virtual synchronous machine nodes and equivalent π-type circuit branches, accurate simulation of the electrical characteristics of mobile emergency resources is achieved. By performing thermal stability checks covering thermal stability, voltage deviation, and operational logic, comprehensive verification of the feasibility of power supply path engineering is achieved. Through intelligent sorting and command generation based on total operation time, rapid decision-making and precise issuance of power outage restoration plans for critical users are realized.

[0024] Example 2, this is an embodiment of the present invention, which provides a smart assessment method for the impact of power outages on key users in a distribution network based on the previous embodiment, including: In this embodiment of the application, before obtaining the load power and geographical coordinates of the key user, the method further includes: 1. In response to abnormal telemetry data or loss of remote signaling status reported by the distribution network data acquisition and monitoring system, initiate a data integrity verification procedure; It is understandable that in the event of communication interruption, sensor failure, or electromagnetic interference, the power distribution network data acquisition and monitoring system may report invalid telemetry values ​​(such as overload or over-range current) or lose switch status signals. If such data is used directly to perform power flow calculations, it will lead to model distortion, such as misjudging that critical users have not lost power, incorrectly identifying power supply nodes, or generating non-existent electrical islands.

[0025] Traditional methods often assume data integrity and lack fault tolerance mechanisms, outputting an erroneous solution once data anomalies occur. This invention, by setting anomaly trigger conditions (telemetry anomaly or loss of telemetry signaling), automatically starts a verification program before step S100 is executed, ensuring that all subsequent steps operate based on reliable data.

[0026] 2. The data integrity verification program interpolates and corrects missing or abrupt load power data based on the distribution network topology and the historical load ratio of adjacent nodes. It should be noted that user loads on the same feeder typically exhibit similar daily variation patterns and proportional relationships. For example, commercial areas A and B are powered by the same line, and historical data shows that A's load is approximately 1.2 times that of B. When A's real-time data is abnormal, a reasonable value for A can be estimated based on B's current value and historical proportions. This method is more accurate than simply taking the historical average because it considers the real-time operating status.

[0027] Using zero-fill or fixed-value substitution will lead to power imbalance in power flow calculations, which in turn will cause false judgments of voltage exceeding limits.

[0028] Therefore, dynamic interpolation must be performed based on topological adjacency relationships and long-term statistical proportions to ensure that the correction value conforms to physical connectivity and reflects the current load level.

[0029] 3. The data integrity verification program performs logical consistency correction on suspicious switch opening and closing states based on the temporal continuity of the switch operation event sequence and the electrical island connectivity; It should be noted that the switch status directly affects the electrical island division. If a tie switch is mistakenly reported as closed, it may cause two areas that should be isolated to be incorrectly connected, resulting in non-physical circulation or incorrect paths in the power flow calculation. Actual switch operation has temporal continuity; it is impossible to open a switch again within 1 second after opening it once; and the electrical island must remain connected or properly isolated after the operation.

[0030] This invention determines the rationality of the current state by tracing back the sequence of switch operation events within the last 10 minutes and considering the current power flow direction. For example, if a switch changes from open to closed without any operation command, causing a short circuit between two different power supply areas, it is determined to be a false alarm and the switch is restored to the open state. This correction ensures that the topology model is consistent with physical reality.

[0031] 4. Use the interpolated load power data and the switch opening and closing status corrected for logical consistency as input data to construct the extended power grid model.

[0032] In one alternative implementation, data anomaly handling and interpolation correction can also respond to data anomaly events by invoking a pre-trained Long Short-Term Memory (LSTM) network model to predict the current load value using the historical load sequence of the key user in order to fill in missing or correct abrupt data.

[0033] In an alternative implementation, data anomaly handling and interpolation correction can also respond to data anomaly events by employing a weighted least squares (WLS) state estimation algorithm, utilizing redundant data from other measurement points in the distribution network and the physical constraints of the entire network, to iteratively calculate and deduce the estimated values ​​of the abnormal data nodes.

[0034] Understandably, interpolation correction and logical consistency correction address the reliability issues of load data and switch status, respectively. However, if the corrected data is not explicitly specified, subsequent steps may still read the original cache, leading to verification failure.

[0035] Therefore, a clear data replacement mechanism must be established, in which all corrected fields are generated as new copies in memory, the original abnormal data is marked as deprecated, and all read operations in subsequent steps S100 to S400 are directed to the repaired copy.

[0036] It should be noted that this invention establishes a standardized data delivery process to ensure that the repaired high-quality data becomes the sole input source for subsequent evaluations, thus completely preventing abnormal data from interfering with the decision-making process.

[0037] In this embodiment of the application, step S100 refers to the immediate activation of the data acquisition program when the distribution network automation system detects that a power user marked as a critical user has lost normal power supply due to fault isolation or planned maintenance, and extracts the electrical and spatial attribute information of the critical user from the distribution network data acquisition and monitoring system.

[0038] The principle behind this step is to establish the initial input basis for the power outage impact assessment. The active load power of critical users reflects their actual energy demand, while their reactive load power reflects their need for reactive power support from the grid. Together, they constitute apparent power, which is the core basis for subsequent resource matching. The power supply bus node identifier is used to locate the user's electrical connection point in the grid topology, serving as the endpoint for path searching. Geographic coordinates are used for spatial matching with the location of mobile resources, determining scheduling feasibility. Only by simultaneously acquiring these four pieces of information can the subsequent resource selection, model building, and path assessment be ensured to have physical consistency and engineering feasibility.

[0039] The absence of any information will cause the assessment results to deviate from the actual operating conditions, and may even generate unexecutable recovery instructions. Therefore, although this step is a routine data acquisition step, its completeness directly determines the reliability of the entire assessment process.

[0040] In this embodiment of the application, step S100, based on the load power and geographical coordinates, filters out a set of live-line work resources from the live-line work resource library, including: S101: In response to the resource status query command of the live-line work resource scheduling platform, obtain all live-line work resources with a status of standby; It should be noted that the uninterrupted power supply (UPS) resources in the standby state refer to all mobile generators, mobile bypass vehicles, and other equipment registered in the UPS resource scheduling platform that are not currently assigned to perform other tasks, are in an immediately callable state, have normal communication links, and have no self-test faults.

[0041] In the embodiments of this application, in actual power distribution network operation and maintenance, the number of resources for live-line work is limited and they are often dispatched across regions. If the standby status is not strictly defined, resources that are on their way back, undergoing maintenance, or whose communication is interrupted and cannot be remotely controlled may be mistakenly judged as available, resulting in the failure to issue dispatch instructions or the inability to execute them on-site.

[0042] Therefore, a comprehensive assessment must be made based on three dimensions: device operating status, task allocation status, and communication status. Only resources that simultaneously meet the conditions of having no current tasks, passing self-test, and being online and communicable are considered to be in a standby state. This definition method eliminates potentially unavailable resources and improves the success rate of resource scheduling.

[0043] S102: Select live-line work resources from the live-line work resource library whose rated output capacity is greater than the apparent power of the active load power and reactive load power of the key user combined as preliminary candidate resources. Understandably, step S102 is to select a subset of resources from all standby resources whose electrical capacity is sufficient to support the full load demand of critical users.

[0044] In this embodiment of the application, the combined apparent power S of the key user is calculated based on the active load power P and reactive load power Q of the key user obtained in step S100. The calculation method is the square root of the sum of squares. Iterate through all the returned standby resources, read their rated output capacity parameters one by one, and compare the rated output capacity of each standby resource with the composite apparent power of the key user. All resources with rated output capacity strictly greater than the combined apparent power are retained to form a preliminary candidate resource list. Information such as equipment type, capacity margin, and current location of each preliminary candidate resource is recorded for subsequent geographic screening.

[0045] S103: Based on the current location of the preliminary candidate resources and the geographic coordinates of the key users, calculate the road network travel distance using a geographic information system; It is understood that this invention uses road network data in a geographic information system to calculate the shortest path length that a vehicle can actually travel from the current location of a resource to the location of a key user, rather than the straight-line distance.

[0046] This step aims to reflect the true dispatch time cost. In urban power distribution network environments, factors such as terrain, traffic control, one-way streets, and construction areas make straight-line distance an inaccurate representation of arrival time. Using road network travel distance provides a more realistic assessment of whether resources can reach the site within an acceptable timeframe. This distance serves as the basis for subsequent judgments on whether resources are within the dispatch radius, directly impacting resource availability assessment. Using straight-line distance may overestimate the accessibility of remote resources, leading to dispatch delays.

[0047] In this embodiment of the application, the current location latitude and longitude of each resource is extracted from the preliminary candidate resource list, the integrated geographic information system service interface is called, and the resource location and key user location are input as the origin and destination. In this embodiment of the application, the geographic information system runs Dijkstra's or A* shortest path algorithm based on the built-in vector road network data to calculate the shortest path length between two points that vehicles can travel in kilometers. The calculated road network travel distance is then bound to the resource and stored in the candidate resource attributes.

[0048] S104: Incorporate preliminary candidate resources whose road network travel distance is less than the preset maximum scheduling radius into the power-on-demand operation resource set.

[0049] It should be noted that power restoration for critical users in distribution networks typically has strict time windows, such as within 30 minutes. If resources that are dispatched too far away are allowed, even if electrical capacity is sufficient, the optimal restoration opportunity may be missed due to excessive travel time.

[0050] In this embodiment, a pre-configured maximum dispatch radius parameter value, in kilometers, is read. All preliminary candidate resources are traversed, and their road network travel distances are compared with the maximum dispatch radius. Resources with road network travel distances strictly less than the maximum dispatch radius are retained. These resources and their complete parameters, including rated output capacity, cable length, resistance per unit length, reactance per unit length, and minimum on-site work space size, are then integrated into a set of currently available uninterrupted power supply resources. This set is then passed to the model building module as one of the inputs to the extended power grid model.

[0051] In this embodiment of the application, the path selection and distance calculation of mobile resources in step S100 includes calling the geographic information system service interface, running Dijkstra's or A* shortest path algorithm based on the built-in vector road network data, calculating the road network travel distance between the current location of the preliminary candidate resources and the location of the key user, and including resources whose distance is less than the preset maximum scheduling radius into the power-off operation resource set.

[0052] In an optional implementation, the path filtering and distance calculation of mobile resources in step S100 can also call the map service interface to obtain the estimated arrival time from the current location of each mobile resource to the access point, construct a matrix with time cost as the weight, and filter out mobile resources that meet the power restoration timeliness requirements based on the time cost matrix.

[0053] In an optional implementation, the path selection and distance calculation of mobile resources in step S100 can also construct an evaluation index system that includes distance, vehicle remaining fuel, driver familiarity and vehicle health status, use fuzzy comprehensive evaluation method to calculate the comprehensive score of each candidate mobile resource, and select the optimal mobile resource based on the comprehensive score.

[0054] The maximum scheduling radius preset in this step of the present invention can be designed according to the actual scenario, and is not limited here.

[0055] It should be noted that the above steps of the present invention, by establishing clear geographical access boundaries, ensure that all resources included in the assessment can arrive at the site within a specified time, thereby guaranteeing the timeliness and feasibility of the recovery plan. This is a key decision point connecting resource capabilities and on-site operational feasibility.

[0056] In this embodiment of the application, a set of currently available live-line working resources is determined. Each live-line working resource in the set of live-line working resources records the rated output capacity, the length of the bypass flexible cable, the resistance value per unit length, the reactance value per unit length, and the minimum on-site working space size. It should be noted that the currently available set of live-line working resources refers to the collection of all mobile emergency power supply equipment that has been confirmed to have electrical capabilities and can arrive at the site within a specified time after completing the dual screening of geographical location and capacity. Each resource in this set must have five key physical parameters fully recorded, including rated output capacity, length of bypass flexible cable, resistance value per unit length, reactance value per unit length, and minimum on-site working space dimensions.

[0057] In this embodiment, the rated output capacity determines the maximum apparent power that the resource can provide, which is the basis for the capacity constraints of power nodes or branches in power flow calculation; the length of the bypass flexible cable directly determines the total impedance of the virtual branch; the resistance per unit length reflects the material and cross-sectional characteristics of the cable conductor, affecting active power loss and temperature rise; the reactance per unit length is determined by the cable structure and laying method, affecting reactive power voltage drop and voltage stability; the minimum field operating space size is used to assess whether the field has safe operating conditions, avoiding the inability to connect equipment due to insufficient space.

[0058] Understandably, these five parameters together constitute a complete technical profile of live-line working resources. The absence of any one parameter will lead to model distortion or failure of on-site operations. For example, if the resistance per unit length is not recorded, cable heating cannot be accurately calculated, potentially causing insulation breakdown; if the minimum on-site working space dimensions are not recorded, equipment may be dispatched to narrow passageways where operations cannot commence.

[0059] The specific numerical format, precision requirements, or mandatory rules of the five parameters in this step of the present invention can be designed according to the actual scenario, and are not limited here.

[0060] In this embodiment of the invention, the registration file of each device is read item by item from the currently available uninterrupted power supply resources set output in step S104. In this embodiment of the invention, it is verified whether each file contains all five parameters: rated output capacity, length of bypass flexible cable, resistance value per unit length, reactance value per unit length, and minimum on-site working space size. In this embodiment of the invention, for a resource that is missing any parameter, the system marks it as having incomplete parameters and removes it from the current available set, while generating an alarm log for maintenance personnel to check the equipment file; In this embodiment of the invention, for a resource with complete parameters, the system binds its five parameters to the resource entry in the form of structured fields to form a standardized data record; In this embodiment of the invention, the standardized set is passed to step S200 as a source of device parameter inputs for constructing the extended power grid model.

[0061] It should be noted that by clearly defining the five core parameters that the resources for live-line work must carry, the completeness and quantifiability of the equipment data on which subsequent modeling and verification depend are ensured, thus avoiding model inaccuracies or on-site operational obstacles due to missing parameters.

[0062] In this embodiment of the application, step S200 is to establish a calculation model that can truly reflect the power grid operation status under the emergency power supply scheme.

[0063] Understandably, the original distribution network model only includes fixed equipment and cannot represent the behavior of mobile generators injecting power or bypass vehicles bridging feeders. If the recovery path is evaluated directly on the original model, the dynamic access effect of emergency resources will be ignored, leading to distortion of the verification results for voltage, power flow, and thermal stability.

[0064] Therefore, it is necessary to introduce two types of virtual components through an extension approach, while preserving the integrity of the original topology. First, the mobile generator is modeled as a virtual synchronous machine node to simulate its constant voltage and frequency power supply characteristics. Second, the mobile bypass vehicle is modeled as an equivalent π-type circuit branch to accurately characterize the cable impedance and ground capacitance effect. This hierarchical construction method first preserves the basic power grid structure and then layer-by-layer superimposes the emergency resource model, ensuring that the model inherits the connectivity of the original network while possessing dynamic response capabilities.

[0065] It should be noted that this model is the only reliable input for subsequent three-phase power flow calculations and vulnerability analysis, and its construction quality directly determines the engineering value of the evaluation results.

[0066] In this embodiment of the application, step S200, which involves constructing an extended power grid model, includes: S201: In response to the inclusion of a mobile generator in the live-line working resource set, a virtual synchronous machine node is added to the real-time topology connection relationship of the distribution network for the candidate access bus node of the mobile generator. The rated voltage of the virtual synchronous machine node is equal to the nominal voltage of the candidate access bus node, and the rated frequency is the power frequency. It should be noted that when a mobile generator is detected among available resources, a power node with specific electrical characteristics needs to be created at a designated bus. This step accurately simulates the power supply behavior of the mobile generator.

[0067] When mobile generators are connected to the grid, they typically employ a constant voltage amplitude and fixed frequency control strategy to maintain local grid voltage stability. Simplifying them as ordinary PQ nodes fails to reflect their voltage support capabilities, leading to an underestimation of critical user bus voltages in power flow calculations.

[0068] Therefore, it must be modeled as a virtual synchronous machine node, endowed with external characteristics similar to those of a main grid synchronous generator. This node does not participate in frequency regulation but can maintain the set voltage, conforming to the actual engineering control logic. By setting the rated voltage to the nominal voltage of the candidate bus node (e.g., 10 kV), the initial conditions of the model are ensured to be consistent with the field conditions; the rated frequency is set to 50 Hz, conforming to the Chinese distribution network standard. This modeling method enables power flow calculations to accurately reflect the voltage-raising effect of the generator, avoiding misjudgments of path infeasibility due to model distortion.

[0069] S202: In response to the inclusion of a mobile bypass vehicle in the live-line work resource set, a virtual branch is added between the two candidate access bus nodes of the mobile bypass vehicle. The series impedance of the virtual branch is calculated from the length, resistance per unit length, and reactance per unit length of the bypass flexible cable. The ground admittance is calculated from the capacitance per unit length and length of the bypass flexible cable, forming an equivalent π-type circuit model. In this embodiment of the application, the modeling method of the bypass cable in step S200 includes modeling the mobile bypass vehicle as an equivalent π-type circuit branch connecting two candidate access bus nodes, wherein the series impedance is calculated from the length of the bypass flexible cable, the resistance value per unit length, and the reactance value per unit length, and the admittance to ground is calculated from the capacitance value per unit length and the length of the bypass flexible cable.

[0070] In an optional implementation, the bypass cable modeling method in step S200 can also be achieved by injecting a small disturbance signal through a mobile bypass operation vehicle at the moment the bypass flexible cable is connected, measuring the voltage and current response at the port, and using the recursive least squares method to identify the equivalent impedance model of the bypass flexible cable online.

[0071] In an optional implementation, the modeling method for the bypass cable in step S200 can also be for ultra-long bypass flexible cables, using the Bergeron model or frequency correlation model, treating the cable as a distributed parameter line, and using the traveling wave algorithm to calculate the electrical characteristics of the cable to construct a distributed parameter model.

[0072] It should be noted that when bypass cables are laid over long distances, their resistance causes active power loss and temperature rise, their reactance causes voltage drop, and their capacitance generates reactive power through charging. Simplifying this to a pure resistance or neglecting ground capacitance will lead to significant errors in line losses, voltage deviations, and reactive power balance calculations. Using an equivalent π-type circuit model can effectively approximate the distributed parameter effects. The series section consists of total resistance and total reactance, reflecting energy loss and voltage drop; the admittance to ground at both ends is determined by the total capacitance, reflecting the cable charging effect.

[0073] Understandably, although the model is a lumped parameter approximation, it is sufficient to support thermal stability and voltage verification within the engineering accuracy range. By utilizing the recorded cable length, resistance per unit length, reactance per unit length, and capacitance per unit length, all parameters of the equivalent π-type circuit can be calculated item by item, ensuring that the model is consistent with the actual equipment.

[0074] In this embodiment of the application, the power outage operation resource set can be scanned first to identify all resource entries with the equipment type of mobile bypass operation vehicle. For each mobile bypass operation vehicle, the system reads the identifiers of its two candidate access bus nodes and obtains the length, resistance value per unit length, reactance value per unit length, and capacitance value per unit length of its bypass flexible cable. In this embodiment, the cable length is multiplied by the resistance value per unit length to obtain the total resistance value; the cable length is multiplied by the reactance value per unit length to obtain the total reactance value; these two are combined to form the series impedance of the virtual branch; the cable length is multiplied by the capacitance value per unit length to obtain the total capacitance value; and the total capacitance value is evenly distributed to both ends of the branch to form two ground admittance elements, constituting an equivalent π-type structure. In this embodiment of the application, in the real-time topology of the distribution network, the equivalent π-type virtual branch is inserted between two candidate access bus nodes, and its parameters are written into the branch attribute table.

[0075] S203: Integrate the newly added virtual synchronous machine node with the model actually generated in the equivalent π-type circuit branch into the real-time topology connection relationship of the distribution network to form an extended power grid model.

[0076] It should be noted that virtual synchronizer nodes and virtual branches are generated in steps S201 and S202, respectively. If these components are not formally integrated into the topology, they will not be recognized by the power flow calculation engine, resulting in model fragmentation.

[0077] Understandably, the integration process must ensure the logical closure of the topological connections. Virtual nodes must be explicitly assigned to a specific bus, virtual branches must be connected to valid nodes at both ends, and the parameters of all newly added components must use the same data format and unit system as the original equipment parameters. Only after integration is completed can a single, coherent, and computable power grid model be formed.

[0078] It is particularly important to emphasize that although this step is a final operation, its proper execution determines whether subsequent calculations can start smoothly. If integration fails, topology errors such as isolated nodes and suspended branches may occur, directly causing power flow calculations to crash.

[0079] In this embodiment of the application, all virtual synchronous machine node records generated in step S201 are collected, and their associated bus nodes are verified one by one to see if they exist in the current real-time topology of the distribution network. All virtual branch records generated in step S202 are collected, and their two end bus nodes are verified one by one to see if they both exist in the topology and if the node identifiers are spelled correctly. Add the verified virtual synchronous machine nodes to the node list, write their electrical parameters into the node attribute table, and mark them as virtual type. At the same time, add the verified virtual branches to the branch list, write their series impedance and ground admittance parameters into the branch attribute table, and update the adjacency relationship of the two end nodes. Perform a topology connectivity check to confirm that all new components have been correctly embedded, with no isolated nodes or unconnected branches, and finally output a complete extended power grid model.

[0080] It should be noted that the above steps, through a standardized integration process, ensure seamless integration of virtual components with the original power grid, forming an extended power grid model that can be directly used for power flow calculations, thus guaranteeing the continuity and stability of subsequent evaluation processes.

[0081] In this embodiment of the application, it should be noted in step S300 that if the recovery scheme is directly output without system verification, potential problems such as voltage exceeding limits, cable overheating, or operational conflicts may be overlooked.

[0082] Therefore, it is essential to first obtain the overall network operating status through three-phase AC power flow calculations. Based on the power flow results, all connected paths from effective power sources to critical user buses must be identified. Effective power sources include main grid substations and virtual synchronous machines. Then, three checks are performed on each path: whether the line load rate exceeds limits, whether the bus voltage is within acceptable limits, and whether the bypass cable temperature rise is safe. This phased processing approach modularizes the complex problem, with each stage's output serving as the input for the next, forming a closed-loop verification chain. For example, only after the power flow calculation is completed can it be determined which paths are actually energized; only after identifying feasible paths can targeted checks be performed on them. The final generated power supply vulnerability set not only includes the paths themselves but also records their vulnerability indicators, providing a basis for subsequent ranking.

[0083] In this embodiment of the application, the three-phase AC power flow calculation performed in step S300 includes: S301: Based on the node injection power, branch impedance parameters and transformer turns ratio in the extended power grid model, establish a set of nonlinear power flow equations in polar coordinates. It is understandable that when a distribution network is operating in steady state, the injected power at each bus node must be equal to the outflow power. This physical conservation law is expressed as a nonlinear equation about voltage magnitude and phase angle in polar coordinates.

[0084] Node-injected power includes load-consumption power and power injected by the source; branch impedance parameters determine the power distribution on the branches; transformer turns ratio affects power transfer and voltage transformation between different voltage levels. Only by fully mapping these three types of information into the equations can the actual operating state of the power grid be accurately reflected.

[0085] It is also understandable that ignoring the transformer turns ratio or using incorrect impedance parameters will distort the equations, causing the solution to deviate from the actual operating conditions. Therefore, establishing a high-fidelity set of nonlinear power flow equations is a prerequisite for ensuring the accuracy of subsequent voltage and power calculations.

[0086] In this embodiment of the application, it is necessary to traverse all bus nodes in the extended power grid model and read the active power injection and reactive power injection of each node. The power injection of load nodes is negative and the power injection of power generation nodes is positive, including the main grid equivalent power generation and virtual synchronous machine nodes. In this embodiment, all branches are traversed, the series resistance, series reactance and ground admittance parameters of each branch are extracted, and these parameters are converted into admittance matrix elements to describe the power coupling relationship between nodes. In this embodiment, all distribution transformer branches are identified, their rated turns ratio parameters are read, and a turns ratio correction factor is introduced into the admittance matrix to accurately reflect the voltage and power conversion relationship between the high and low voltage sides. In this embodiment, the voltage amplitude and voltage phase angle of each bus node are used as unknown variables. According to Kirchhoff's current law, two nonlinear equations are written for each unbalanced node: one represents active power balance and the other represents reactive power balance. In this embodiment, all equations are arranged in node order to form a complete set of nonlinear power flow equations. The size of this set of equations is equal to the total number of bus nodes minus one (because a slack node needs to be specified as a reference).

[0087] S302: The Newton-Raphson iterative algorithm is used to solve the nonlinear power flow equations to obtain the voltage magnitude and phase angle of all bus nodes, and the active power and reactive power of all branches. It should be noted that this invention utilizes the fast convergence characteristic of the Newton-Raphson iterative method to efficiently solve large-scale nonlinear equation systems. In each iteration, this method calculates the power imbalance of the current solution, constructs a Jacobian matrix to describe the sensitivity of variables to the imbalance, and then solves the correction equation to update the voltage magnitude and phase angle.

[0088] Understandably, given that distribution networks are typically radial and their parameters change gradually, this method can converge to the acceptable accuracy within 3 to 5 iterations. The obtained bus voltage amplitude and phase angle are the basis for evaluating voltage quality; branch active and reactive power are used to calculate line load rate and cable temperature rise. If other inefficient algorithms (such as the Gauss-Seidel method) are used, the evaluation may be interrupted due to slow convergence or failure.

[0089] In this embodiment, an initial voltage guess value can be set first, the voltage amplitude of all PQ nodes can be set to 1.0 per unit, and the phase angle can be set to 0 degrees; the voltage amplitude of PV nodes can be fixed to its set value, and the phase angle can be set to 0 degrees; the voltage amplitude and phase angle of the balanced nodes can be fixed to reference values. Based on the current voltage guess value, the active power imbalance and reactive power imbalance of each unbalanced node can be calculated, that is, the difference between injected power and outflow power. In this embodiment of the application, a complete Jacobian matrix is ​​constructed based on the current voltage value and the network admittance parameters. The matrix contains four sub-blocks, which respectively represent the partial derivatives of active power with respect to phase angle, active power with respect to magnitude, reactive power with respect to phase angle, and reactive power with respect to magnitude. Then, the linear correction equation is solved to obtain the correction amount of voltage phase angle and magnitude, and these are superimposed on the current guess value to form a new voltage estimate. In this embodiment, it is checked whether all unbalance quantities are less than the preset convergence tolerance. If so, the final voltage amplitude and phase angle are output, and the active power and reactive power of each branch are calculated accordingly. Otherwise, the process returns to the second step to continue iterating.

[0090] The preset convergence tolerance in this step of the present invention can be designed according to the actual scenario, and is not limited here.

[0091] S303: Determine whether the voltage amplitude of the power supply bus node of the critical user deviates from the allowable deviation range of the nominal voltage; It should be noted that, according to Chinese national standards, the nominal voltage deviation of a 10 kV distribution network is usually ±7%, meaning the voltage amplitude should be between 0.93 and 1.07 per unit.

[0092] If the bus voltage of critical users is lower than the lower limit, it may cause motors to fail to start and lighting to dim. If the level exceeds the upper limit, it may damage the insulation of electronic devices.

[0093] Therefore, a clearly defined permissible deviation range must be used as the basis for judgment. This range is not arbitrarily set, but rather a technical boundary determined after comprehensively considering the equipment's tolerance capacity, line voltage drop characteristics, and system regulation margin. In live-line working scenarios, mobile resource access points are more prone to exceeding limits due to their limited voltage support capacity, as they are far from the main grid.

[0094] Failure to perform this verification may result in a path with an unqualified voltage being mistakenly identified as feasible, leading to abnormalities in user equipment after power is restored.

[0095] Therefore, this step, by refining the judgment criteria and transforming the abstract concept of voltage compliance into an operable numerical comparison, is a crucial step in ensuring electrical safety. The allowable deviation range in this step of the invention can be designed according to the actual scenario and is not limited here.

[0096] S304: If the voltage amplitude deviates beyond the allowable range, mark the voltage limit violation flag in the power supply vulnerability element of the corresponding feasible power supply path. Understandably, during the path search phase, the existence of a path is determined solely based on topological connectivity, without considering electrical quality. If a path is physically connected but experiences a severe voltage drop due to excessive line length, overload, or insufficient resource capacity, then the normal operation of critical users cannot be guaranteed.

[0097] If such paths are not marked, they may be prioritized in subsequent sorting processes, leading to failure of on-site recovery. Therefore, such high-risk paths must be explicitly excluded using voltage over-limit flags.

[0098] It should be noted that this flag is not only used for filtering in step S400, but also provides visual alarms for dispatchers to assist in manual decision-making.

[0099] In this embodiment of the application, step S300 includes performing a thermal stability check, which includes: S305: For a virtual branch consisting of a mobile bypass vehicle in an extended power grid model, the active current and reactive current flowing through the virtual branch. It should be noted that the temperature rise of the bypass flexible cable is mainly caused by conductor resistance loss, and the resistance loss is proportional to the square of the current. Since the distribution network is an AC system, the current includes an active component (in phase with the voltage) and a reactive component (orthogonal to the voltage), which together determine the effective value of the total current.

[0100] Using only active current will underestimate the actual heat generation; If apparent current is used but the source is not broken down, the path of responsibility cannot be traced.

[0101] Therefore, it is essential to explicitly extract the active and reactive currents flowing through the virtual branch as direct inputs for temperature rise calculation. This operation relies on the branch power and voltage already solved in step S302; the current component can be obtained by dividing the power by the voltage. Only by accurately obtaining these two current values ​​can the true thermal load state of the cable be reflected.

[0102] In this embodiment of the application, all branches in the extended power grid model are traversed to identify the virtual branches created in step S202 (i.e., branches representing bypass operation vehicles). For each virtual branch, the system reads the active power and reactive power at its head or end from the power flow results in step S302. In this embodiment of the application, the voltage amplitude of the bus connected to the branch is read, and the active power is divided by the voltage amplitude to obtain the active current, and the reactive power is divided by the voltage amplitude to obtain the reactive current. These two current values ​​are then bound to the virtual branch for use in step S306.

[0103] S306: Calculate the steady-state temperature rise of the bypass flexible cable based on the active current, reactive current, resistance value of the bypass flexible cable, and ambient temperature. It should be noted that when a bypass flexible cable is energized, the conductor generates heat due to resistance. If heat dissipation is insufficient, the temperature will continue to rise until thermal equilibrium is reached. The steady-state temperature rise is the temperature increment at equilibrium.

[0104] It is understandable that the temperature rise depends on three factors: the effective value of the total current (composed of active and reactive current), the total resistance of the cable (determined by the length and resistance per unit length), and the environmental heat dissipation conditions (affected by the ambient temperature and the laying method).

[0105] If the temperature rise is too high, the conductor temperature may exceed the long-term maximum allowable operating temperature of the insulation material, such as 90 degrees Celsius, leading to insulation aging or even breakdown.

[0106] Therefore, the temperature rise must be calculated using a physical model, rather than relying on empirical estimates. This calculation is the core of thermal stability verification and directly determines whether the path is acceptable.

[0107] In this embodiment of the application, the effective value of the total current is calculated based on the active current and reactive current extracted in step S305. The method is to take the square root of the sum of the squares of the two, obtain the length and unit length resistance value of the bypass flexible cable from the resource parameters recorded in step S200, and calculate the total resistance of the cable. In this embodiment, the ambient temperature of the current working area is read. This data comes from a meteorological interface or a field sensor. The conductor heat loss power is obtained by multiplying the square of the effective value of the total current by the total resistance. Finally, by combining the heat loss power, cable surface area, air convection coefficient and ambient temperature, the steady-state temperature rise of the conductor is estimated using the steady-state thermal balance equation.

[0108] S307: Compare steady-state temperature rise with the long-term allowable maximum operating temperature of the insulation material for bypass flexible cables; It should be noted that the insulation layer of bypass flexible cables is typically made of cross-linked polyethylene or ethylene propylene rubber, and its maximum allowable long-term operating temperature is generally 90 degrees Celsius. This temperature is the upper limit under continuous energizing conditions to prevent significant aging or mechanical property degradation of the material. If the actual conductor temperature exceeds this value, the insulation life will be drastically shortened, and breakdown may occur within hours.

[0109] Therefore, the calculated conductor temperature (equal to ambient temperature plus steady-state temperature rise) must be rigorously compared with this upper limit.

[0110] S308: If the steady-state temperature rise causes the cable conductor temperature to exceed the long-term maximum allowable operating temperature, then mark the thermal stability limit exceedance flag in the power supply vulnerability element of the corresponding feasible power supply path. Understandably, while some bypass routes may provide sufficient voltage and power, excessively long bypass cables, small cross-sections, or excessively high ambient temperatures can cause conductor temperature rise exceeding limits. If such routes are not eliminated, on-site workers may lay cables according to the plan, resulting in overheating and smoke within minutes of power being applied, causing secondary power outages or even fires.

[0111] Traditional scheduling methods often neglect thermal stability checks, focusing only on topology and voltage, which poses significant safety risks. This invention introduces a thermal stability exceedance flag to explicitly mark such high-risk paths, ensuring their removal in subsequent screening stages. This flag, along with the voltage exceedance flag, forms a dual guarantee for path safety. The absence of this step would leave the evaluation results lacking thermal constraints, severely weakening the engineering feasibility of the proposed solution.

[0112] In this embodiment of the application, the step S300 of generating the power supply vulnerability set further includes: S309: Identify the sequence of tie switch operations involved in each feasible power supply path, including a list of switches that need to be opened and a list of switches that need to be closed. In this embodiment of the application, based on the current opening and closing status of the tie switch in the extended power grid model, a connectivity graph of the current electrical island is constructed. For each feasible power supply path, a target connectivity graph after the path is activated is constructed, i.e., the switch status when the path is already in operation. In this embodiment of the application, the state of each connecting switch in the current connection diagram and the target connection diagram is compared one by one. If a switch is currently closed but needs to be opened in the target, it is added to the list of switches that need to be opened. The comparison continues. If a switch is currently open but needs to be closed in the target, it is added to the list of switches that need to be closed. In this embodiment of the application, the two lists are combined into a complete handshake switch operation sequence and bound to the power supply vulnerability element of the corresponding path.

[0113] S310: Based on the anti-misoperation interlocking rule base of the distribution network automation system, verify whether there are logical conflicts and equipment status conflicts in the operation sequence of the tie switch; Understandably, there are numerous anti-misoperation interlocking rules in the distribution network, such as prohibiting the opening of disconnect switches under load, prohibiting asynchronous loop closing, and prohibiting the closing of circuit breakers if the grounding switch is not open. These rules are based on the physical characteristics of the equipment and operating procedures, and violating any of them may lead to arcing, short circuits, equipment explosions, or personal injury. If the operation sequence of the tie switch is not verified, it may contain combinations of actions that violate the rules. Therefore, the operation sequence must be compared one by one with the anti-misoperation interlocking rule base to ensure that each operation is legal under the current power grid conditions.

[0114] S311: If a conflict exists, mark the operation as infeasible in the power supply vulnerability element of the corresponding feasible power supply path.

[0115] Understandably, traditional assessment methods often neglect operational feasibility, focusing only on static electrical indicators, which leads to significant management loopholes. This invention introduces an operational infeasibility flag, explicitly feeding back the constraints of safety rules to the path assessment layer, ensuring that the final output solution is not only electrically qualified but also operationally legal.

[0116] In this embodiment, the power supply vulnerability set in step S400 may contain dozens of paths, but only paths that simultaneously meet three hard constraints and have no limit-breaking indicators are engineering feasible. The three hard constraints are: the line is not overloaded, the voltage is qualified, and the cable does not exceed the temperature limit. Based on this, the operation time is used as the sorting criterion to reflect the principle of rapid power restoration.

[0117] If all feasible paths are output directly without sorting, schedulers will have to manually compare and select them, which will delay the opportunity. If only electrical indicators are sorted and time is ignored, a complex solution that takes too long to complete may be chosen. In this invention, each element in the power supply vulnerability set is traversed to check whether the element is not marked with a voltage limit violation flag, a thermal stability limit violation flag, or an operation infeasibility flag; In this application embodiment, it is verified whether the line load rate is less than or equal to the preset upper limit, whether the bus voltage deviation is within the allowable range, and whether the bypass cable temperature rise is lower than the long-term allowable operating temperature of the insulation material. In this embodiment of the application, all elements that pass all the above verifications are extracted into a fully compliant path subset. The subset is sorted in ascending order according to the final operation time of each path, and the sorted list is output as the power outage impact assessment result.

[0118] In this step of the invention, parameters such as the preset upper limit, allowable range, and long-term allowable operating temperature can be designed according to the actual scenario, and are not limited here.

[0119] In this embodiment of the application, step S400, which involves sorting the elements corresponding to feasible power supply paths in the power supply vulnerability set in ascending order according to the total operation time of the required switching operation sequence, and outputting them as the power outage impact assessment result for critical users, includes: S401: Determine the average single operation time for each switch in the tie switch operation sequence; The specific value of the average time consumed per operation in this step of the present invention can be designed according to the actual scenario, and is not limited here.

[0120] S402: Add up the average single operation time of all switches in the tie switch operation sequence to obtain the total operation time; Understandably, in live-line working scenarios, the total time required to restore power depends not only on resource scheduling, but more importantly on the cumulative time of on-site switch operations. Since the operation of each switch is executed sequentially and cannot be parallelized, the time consumed by each switch must be linearly accumulated.

[0121] Taking only the maximum or average value will severely underestimate the actual time spent; If certain switches are ignored, the automation efficiency will be overestimated. This invention strictly follows the operation sequence, adding up the average single operation time of each switch determined in step S401 to ensure that the time estimate covers all necessary actions.

[0122] S403: For recovery schemes that include mobile generator trucks, an additional standard time is added for grid connection and commissioning of the generator truck; It should be noted that although mobile generators can provide power, their grid connection is not instantaneous. On-site testing requires multiple steps, including cable connection, phase sequence verification, voltage synchronization, protection setting verification, and no-load trial operation. The entire process typically takes 10 to 15 minutes. Calculating only the switch operation time would severely underestimate the actual restoration time, leading dispatchers to mistakenly believe restoration will take 5 minutes when it actually does take 20 minutes.

[0123] Understandably, traditional evaluation methods often treat generator trucks as ideal power sources, ignoring their physical connection delays, making the proposed solutions infeasible. This invention explicitly compensates for this time gap by introducing the standard time required for grid connection and commissioning of generator trucks, making the total operation time closer to the actual field situation.

[0124] In this embodiment of the application, it is first checked whether the currently feasible power supply path includes the created virtual synchronizer node; If it exists, the path is determined to be a recovery scheme that includes a mobile generator vehicle. Then, the standard time value for grid connection and commissioning of the generator vehicle is read from the preset parameter library. At the same time, the standard time is added to the total operation time of the path in seconds, and the final operation time record of the path is updated.

[0125] For example, the basic switch operation time for a certain path is 6 minutes. Due to the use of a generator truck, an additional 12 minutes of commissioning time is added, resulting in a final operation time of 18 minutes.

[0126] The standard time for grid connection and commissioning of the generator vehicle in this step of the present invention can be designed according to the actual scenario, and is not limited here.

[0127] S404: For recovery schemes that include mobile bypass work vehicles, an additional standard time is added for bypass cable laying and connection; It should be noted that mobile bypass vehicles need to lay hundreds of meters of flexible cable from the vehicle reel to the two access points, and complete operations such as terminal stripping, crimping, insulation wrapping, and phase verification. This process is affected by terrain, access routes, and weather, and typically takes 15 to 25 minutes. If only the switching operation is considered, this major time-consuming step will be completely ignored, resulting in a solution that appears fast but is actually slow. For example, a route that only requires operating one switch (1 minute) but needs to lay 400 meters of cable (20 minutes) takes a total of 21 minutes, far longer than another route that only requires switching operations (8 minutes). Traditional methods often treat bypass branches as virtual connections, ignoring their physical implementation costs, resulting in distorted routing.

[0128] This invention introduces a standard time for bypass cable laying and connection, fully covering the on-site implementation cycle of bypass operations and ensuring that the time estimate reflects real-world conditions. This time is set based on experience from typical urban power distribution network operations and includes a safety margin. The standard time for bypass cable laying and connection in this step of the invention can be designed according to actual scenarios and is not limited here.

[0129] S405: The sum of the total operation time, the standard time for grid connection and commissioning of the generator car, and the standard time for laying and connecting the bypass cable will be used as the final ranking basis. In this embodiment of the application, the power supply path sorting and decision-making strategy in step S400 includes screening out feasible power supply paths from the power supply vulnerability set that simultaneously meet the line load rate, bus voltage deviation and bypass cable temperature rise safety constraints and have no operational conflicts, calculating the final operation time including the time consumed by switch operation, generator grid connection commissioning and bypass cable laying and connection, and outputting the optimal path in ascending order of the time.

[0130] In an optional implementation, the power supply path sorting and decision-making strategy in step S400 can also construct a multi-objective optimization model that includes minimizing network loss, maximizing power supply reliability, and minimizing operating costs. The Pareto optimal solution set is solved using a non-dominated sorting genetic algorithm, and the weights of each objective are determined by the entropy weight method to select the optimal power supply path.

[0131] In an optional implementation, the power supply path sorting and decision-making strategy in step S400 can also construct a multi-objective optimization model that includes minimizing network loss, maximizing power supply reliability, and minimizing operating costs. The Pareto optimal solution set is solved using a non-dominated sorting genetic algorithm, and the weights of each objective are determined by the entropy weight method to select the optimal power supply path.

[0132] Understandably, different recovery schemes involve different resource combinations; some use only switching operations, some only generator cars, some only bypass cars, and some a combination of all three. For comparison, all time components must be logically combined: the basic switching operation time is mandatory, the generator car commissioning time is a conditional item (added only when a generator car is used), and the bypass laying time is a conditional item (added only when a bypass car is used). This multi-condition combination ensures that the final operation time for each path includes all its necessary time, regardless of resource type.

[0133] In this embodiment of the application, the total operation time calculated in step S402 is used as the base time to determine whether the path includes a mobile generator vehicle. If so, the standard time for grid connection and commissioning of the generator vehicle defined in step S403 is added. In this embodiment of the application, it is determined whether the path includes a mobile bypass operation vehicle. If so, the standard time for bypass cable laying and connection defined in step S400 is added, and the basic item, generator vehicle item, and bypass item are summed arithmetically to obtain the final operation time. In this embodiment, the final operation time is written into the sorting field of the power supply vulnerability element, serving as the sole basis for sorting in step S400. The specific values ​​of the time consumed by each standard in this step can be designed according to the actual scenario and are not limited here.

[0134] S406: Based on the final sorting criteria, the feasible power supply paths are sorted in ascending order, and in response to the existence of at least one feasible power supply path in the power supply vulnerability set that is not marked with a voltage limit exceeding flag, a thermal stability limit exceeding flag, and an operation infeasibility flag, the feasible power supply path with the smallest final sorting criteria value is selected. Understandably, after the multi-dimensional verification in steps S300 to S311, only some paths in the power supply vulnerability set satisfy all safety constraints. These paths are flawless in the electrical, thermal, and operational dimensions, forming a feasible solution set. If multiple feasible solutions are output, dispatchers still need to make manual choices, delaying emergency response.

[0135] Therefore, based on the final operation time calculated in step S405, the path with the smallest value must be selected, i.e., the path with the fastest recovery. The comparison logic for the final operation time in this step of the present invention can be designed according to the actual scenario, and is not limited here.

[0136] S407: Generate a structured instruction set containing the uninterrupted power supply resource type corresponding to the selected feasible power supply path, candidate access bus nodes, tie switch operation sequence, and expected power restoration time.

[0137] Understandably, the optimal path itself is an abstract combination of topology and parameters, which cannot directly guide the operation. Therefore, it is necessary to structure its key elements, specifying what resources to use (such as a 1600 kVA mobile generator), which bus to connect to (such as BUS-1023), which switching actions to perform (such as opening SW-101 and closing SW-205), and when to complete it (current time plus final operation time).

[0138] In this embodiment of the application, the power supply vulnerability element corresponding to the optimal feasible power supply path selected in step S406 is read, and the uninterrupted power supply operation resource type (such as mobile generator or mobile bypass operation vehicle) and specific equipment number recorded in the element are extracted. Read the candidate access bus node identifier of the resource and confirm its physical location in the distribution network. Then obtain the tie switch operation sequence of the path, including the list of switches that need to be opened and the list of switches that need to be closed, and arrange them in the execution order. Finally, based on the current system time, the estimated time for power restoration is obtained by adding the final operation time calculated in step S405, and the above four pieces of information are combined into a structured instruction set.

[0139] S408: Sends a structured instruction set to the power distribution network dispatch and control system to drive automatic control processes or assist in human decision-making.

[0140] In this embodiment of the application, after performing the three-phase AC power flow calculation, the method further includes: Perform a single-element N-1 fault scan on the extended power grid model to simulate scenarios where the main transformer, feeder, or virtual branch is out of service; Understandably, even if a certain path has qualified voltage and thermal stability under normal operating conditions, if the only power source or channel it depends on fails immediately after commissioning, such as transformer tripping or cable breakdown, the critical user will lose power again.

[0141] It should be noted that the N-1 criterion requires the system to maintain basic power supply even after any component fails. This step involves constructing multiple post-fault topologies by traversing all possible single fault points, including the main transformer on the main grid side, distribution network feeder segments, and virtual branches composed of mobile resources, and recalculating the power flow to identify potential vulnerabilities.

[0142] In this embodiment of the application, a list of all components that can be simulated and withdrawn is first extracted from the extended power grid model, including the main transformer, feeder branches, generator car branches corresponding to the virtual synchronous machine nodes, and virtual π-type branches; In this embodiment of the application, an empty set of N-1 fault scenarios is initialized; In this embodiment, each item in the component list is traversed to generate a temporary fault model: the component is removed from the topology (main transformer disconnected, feeder set to open circuit, virtual branch impedance set to infinity). In this embodiment, it is verified whether the temporary model still has an electrical connection path from the effective power source to the critical user power supply bus node. For fault scenarios with existing connection paths, the system adds them to the N-1 fault scenario set for use in step S101. The range of component types that can be simulated and exited in this step can be designed according to the actual scenario and is not limited here.

[0143] Example 3 is an embodiment of the present invention. This embodiment differs from the first embodiment in that it provides an intelligent assessment system for the impact of power outages on critical users in the distribution network.

[0144] It should be noted that the technical solution of the intelligent assessment system for the impact of power outages on key users of the distribution network is based on the same concept as the technical solution of the intelligent assessment method for the impact of power outages on key users of the distribution network described above. For details not described in detail in the technical solution of the intelligent assessment system for the impact of power outages on key users of the distribution network described above, please refer to the description of the technical solution of the intelligent assessment method for the impact of power outages on key users of the distribution network described above.

[0145] This embodiment presents an intelligent assessment system for the impact of power outages on critical users in a distribution network, comprising: The pre-screening module is used to respond to power outage events of key users in the distribution network, obtain the load power and geographical coordinates of the key users, and screen out a set of power-on-line work resources from the power-on-line work resource library based on the load power and geographical coordinates. An extended topology modeling module is used to obtain the real-time topology of the distribution network, model the mobile generator vehicle in the uninterruptible power supply resource set as a virtual synchronous machine node, model the mobile bypass vehicle as an equivalent circuit branch containing line impedance parameters, and embed the virtual synchronous machine node and the equivalent circuit branch into the real-time topology of the distribution network to construct an extended power grid model. The power supply path analysis module is used to perform three-phase AC power flow calculations based on the extended power grid model, identify feasible power supply paths to the key users, perform thermal stability checks on each feasible power supply path, and generate a set of power supply vulnerability values ​​containing the check results. The emergency plan sorting and decision-making module is used to sort the elements corresponding to feasible power supply paths in the power supply vulnerability set in ascending order according to the total operation time of the required switching operation sequence, and output the result as the power outage impact assessment result for key users.

[0146] This embodiment also provides an electronic device applicable to a method for intelligent assessment of the impact of power outages on critical users in a distribution network, including: The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement a smart assessment method for the impact of power outages on critical users in a distribution network, as proposed in the above embodiments.

[0147] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a method for intelligent assessment of the impact of power outages on critical users in a distribution network, as proposed in the above embodiments.

[0148] The storage medium proposed in this embodiment and the intelligent assessment method for the impact of power outages on key users in the distribution network proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0149] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0150] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for intelligently assessing the impact of power outages on critical users in a distribution network, characterized in that, include: In response to a power outage event of a critical user in the distribution network, the load power and geographical coordinates of the critical user are obtained, and a set of uninterrupted power operation resources is selected from the uninterrupted power operation resource library based on the load power and geographical coordinates. The real-time topology of the distribution network is obtained, the mobile generator vehicle in the uninterruptible power supply resource set is modeled as a virtual synchronous machine node, the mobile bypass vehicle is modeled as an equivalent circuit branch containing line impedance parameters, and the virtual synchronous machine node and the equivalent circuit branch are embedded into the real-time topology of the distribution network to construct an extended power grid model. Based on the extended power grid model, perform three-phase AC power flow calculations, identify feasible power supply paths to the key users, and perform thermal stability checks on each feasible power supply path to generate a set of power supply vulnerability values ​​containing the check results. The elements corresponding to feasible power supply paths in the power supply vulnerability set are sorted in ascending order according to the total operation time of the required switching operation sequence and output as the power outage impact assessment result for critical users.

2. The intelligent assessment method for the impact of power outages on critical users in the distribution network as described in claim 1, characterized in that: The process of selecting a set of live-line work resources from the live-line work resource library based on the load power and geographical coordinates includes: In response to the resource status query command of the live-line work resource scheduling platform, obtain all live-line work resources with a status of standby; Select live-line work resources with rated output capacity greater than the combined apparent power of active and reactive loads of key users from the live-line work resource library as preliminary candidate resources. Based on the current location of the preliminary candidate resources and the geographic coordinates of the key users, the road network travel distance is calculated using a geographic information system; Preliminary candidate resources whose road network travel distance is less than the preset maximum dispatch radius are included in the power outage operation resource set.

3. The intelligent assessment method for the impact of power outages on critical users in the distribution network as described in claim 1 or 2, characterized in that: The construction of the extended power grid model includes: In response to the inclusion of mobile generators in the live-line working resource set, a virtual synchronous machine node is added to the real-time topology connection relationship of the distribution network for the candidate access bus node of the mobile generator. The rated voltage of the virtual synchronous machine node is equal to the nominal voltage of the candidate access bus node, and the rated frequency is the power frequency. In response to the inclusion of a mobile bypass vehicle in the live-line work resource set, a virtual branch is added between the two candidate access bus nodes of the mobile bypass vehicle. The series impedance of the virtual branch is calculated from the length, resistance per unit length, and reactance per unit length of the bypass flexible cable. The ground admittance is calculated from the capacitance per unit length and length of the bypass flexible cable, forming an equivalent π-type circuit model. The newly added virtual synchronous machine node is integrated with the model actually generated in the equivalent π-type circuit branch into the real-time topology connection relationship of the distribution network to form an extended power grid model.

4. The intelligent assessment method for the impact of power outages on critical users in the distribution network as described in claim 3, characterized in that: The execution of the three-phase AC power flow calculation includes: Based on the node injection power, branch impedance parameters and transformer turns ratio in the extended power grid model, a set of nonlinear power flow equations in polar coordinates is established. The Newton-Raphson iterative algorithm is used to solve the nonlinear power flow equations to obtain the voltage magnitude and phase angle of all bus nodes, and the active and reactive power of all branches. Determine whether the voltage amplitude of the power supply bus nodes of critical users deviates from the allowable deviation range of the nominal voltage; In response to a voltage amplitude deviation exceeding the allowable range, a voltage over-limit flag is marked in the power supply vulnerability element of the corresponding feasible power supply path; The thermal stability check includes: For the virtual branch consisting of a mobile bypass vehicle in the extended power grid model, the active current and reactive current flowing through the virtual branch; Calculate the steady-state temperature rise of the bypass flexible cable based on the active current, reactive current, resistance value of the bypass flexible cable, and ambient temperature. Compare the steady-state temperature rise with the long-term allowable maximum operating temperature of the insulation material of the bypass flexible cable; In response to a steady-state temperature rise that causes the cable conductor temperature to exceed the maximum long-term allowable operating temperature, a thermal stability limit violation flag is marked in the power supply vulnerability element of the corresponding feasible power supply path. The generated power supply vulnerability set also includes: Identify the sequence of tie switch operations involved in each feasible power supply path, including a list of switches that need to be opened and a list of switches that need to be closed. Based on the anti-misoperation interlocking rule base of the distribution network automation system, verify whether there are logical conflicts and equipment status conflicts in the operation sequence of the tie switch; In response to the existence of a conflict, mark the operation as infeasible in the power supply vulnerability element of the corresponding feasible power supply path.

5. The intelligent assessment method for the impact of power outages on critical users in the distribution network as described in claim 4, characterized in that: The elements corresponding to feasible power supply paths in the power supply vulnerability set are sorted in ascending order according to the total operation time of the required switching operation sequence and output as the power outage impact assessment result for critical users, including: Determine the average single operation time for each switch in the tie switch operation sequence; The total operation time is obtained by summing the average single operation time of all switches in the tie switch operation sequence. For recovery plans that include mobile generator trucks, an additional standard time will be added for grid connection and commissioning of the generator trucks; For restoration solutions that include mobile bypass vehicles, an additional standard time is added for bypass cable laying and connection; The total operation time, the standard time for grid connection and commissioning of the generator truck, and the standard time for laying and connecting the bypass cable will be used as the final ranking criteria. Based on the final ranking criteria, feasible power supply paths are sorted in ascending order. In response to the existence of at least one feasible power supply path in the power supply vulnerability set that is not marked with a voltage limit exceeding flag, a thermal stability limit exceeding flag, and an operation infeasibility flag, the feasible power supply path with the smallest final ranking criteria value is selected. Generate a structured instruction set that includes the uninterrupted power supply resource type corresponding to the selected feasible power supply path, candidate access bus nodes, tie switch operation sequence, and expected power restoration time.

6. The intelligent assessment method for the impact of power outages on critical users in the distribution network as described in claim 5, characterized in that: Before obtaining the load power and geographic coordinates of the key users, the method further includes: In response to data anomaly events reported by the power distribution network data acquisition and monitoring system, a data integrity verification procedure is initiated. The load power data is interpolated and corrected based on the distribution network topology and the historical load ratio of adjacent nodes; the data anomaly events include data missing events and data jump events. Based on the temporal continuity of the switch operation event sequence and the electrical island connectivity, logical consistency correction is performed on the switch opening and closing states. The interpolated load power data and the switch opening and closing status corrected by logic consistency are used as input data to construct the extended power grid model.

7. The intelligent assessment method for the impact of power outages on critical users in the distribution network as described in claim 6, characterized in that: After performing the three-phase AC power flow calculation based on the extended power grid model, the method further includes: Perform a single-component fault scan on the extended power grid model to simulate scenarios where key components in the extended power grid model fail to operate. The key components include the main transformer, the feeder, and the virtual branch.

8. A smart assessment system for the impact of power outages on critical users in a distribution network, using the method described in any one of claims 1-7, characterized in that, include: The pre-screening module is used to respond to power outage events of key users in the distribution network, obtain the load power and geographical coordinates of the key users, and screen out a set of power-on-line work resources from the power-on-line work resource library based on the load power and geographical coordinates. An extended topology modeling module is used to obtain the real-time topology of the distribution network, model the mobile generator vehicle in the uninterruptible power supply resource set as a virtual synchronous machine node, model the mobile bypass vehicle as an equivalent circuit branch containing line impedance parameters, and embed the virtual synchronous machine node and the equivalent circuit branch into the real-time topology of the distribution network to construct an extended power grid model. The power supply path analysis module is used to perform three-phase AC power flow calculations based on the extended power grid model, identify feasible power supply paths to the key users, perform thermal stability checks on each feasible power supply path, and generate a set of power supply vulnerability values ​​containing the check results. The emergency plan sorting and decision-making module is used to sort the elements corresponding to feasible power supply paths in the power supply vulnerability set in ascending order according to the total operation time of the required switching operation sequence, and output the result as the power outage impact assessment result for key users.

9. An electronic device, characterized in that, include: Memory, used to store programs; A processor for loading the program to perform the steps of the method as claimed in any one of claims 1-7.

10. A computer-readable storage medium storing a program, characterized in that, When the program is executed by a processor, it implements the steps of the method as described in any one of claims 1-7.

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