A dispatching method, device and storage medium for power system disaster prevention

Abstract

The present invention discloses a scheduling method, device, and storage medium for power system disaster prevention, wherein the method includes: obtaining real-time operating status parameters of the power system; identifying weak links in the power system based on the real-time operating status parameters and generating corresponding weak link reinforcement strategies; determining a power structure optimization plan based on the power structure and output status; analyzing the elasticity index of the power system and updating the elasticity index based on the analysis results, the elasticity index including pre-disaster elasticity index, mid-disaster elasticity index, and post-disaster elasticity index; combining parameter information of different types of power sources in the post-disaster power system to determine the coordinated and orderly restoration principle of power sources in the power outage area after the disaster, and formulating a line repair strategy based on the coordinated and orderly restoration principle, wherein the parameter information includes distribution, regional coverage, and support capability. The present invention can comprehensively consider the impact of elasticity indicators at different disaster stages on disaster prevention, thereby effectively improving the effectiveness of disaster prevention.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a dispatching method, device and storage medium for power system disaster prevention. Background Art

[0002] The power system, interconnected with multiple systems such as water, gas, transportation, and communications, is one of the most critical components of a large, complex lifeline system. Power system accidents and losses caused by natural disasters and failures are devastating. In recent years, power system failures caused by natural disasters have been increasing year by year. Natural disasters that harm the power system include windstorms, earthquakes, snowstorms, and extreme temperatures.

[0003] The existing power system disaster prevention dispatching method does not consider the impact of the corresponding elasticity indicators before, during and after the disaster on disaster prevention, resulting in poor disaster prevention effects. Summary of the Invention

[0004] The present invention provides a scheduling method, device and storage medium for power system disaster defense to solve the technical problem that the existing scheduling method for power system disaster defense does not take into account the impact of corresponding elasticity indicators before, during and after a disaster on disaster defense, resulting in poor disaster defense effects.

[0005] An embodiment of the present invention provides a method for dispatching power system disaster prevention, including:

[0006] Obtain real-time operating status parameters of the power system;

[0007] Identifying weak links in the power system according to the real-time operating status parameters and generating corresponding weak link reinforcement strategies;

[0008] Determine the power structure optimization plan based on the power structure and output status;

[0009] Analyze the resilience indicators of the power system in combination with the power system resilience evaluation requirements, and update the resilience indicators according to the analysis results, wherein the resilience indicators include pre-disaster resilience indicators, mid-disaster resilience indicators, and post-disaster resilience indicators;

[0010] Combined with the parameter information of different types of power sources in the post-disaster power system, the principle of coordinated and orderly restoration of power sources in the post-disaster power outage area is determined, and a line repair strategy is formulated based on the coordinated and orderly restoration principle. The parameter information includes distribution, regional coverage and support capabilities.

[0011] Furthermore, the obtaining of real-time operating status parameters of the power system includes:

[0012] The real-time operation status information of the power system is retrieved from the existing power dispatching platform through a preset data interface, the network topology is drawn in combination with the real-time operation status information and the GIS geographic map, and the real-time operation status parameters are marked on the topology.

[0013] Furthermore, the identifying of weak links of the power system according to the real-time operating status parameters and generating corresponding weak link reinforcement strategies include:

[0014] According to the real-time operating status parameters and the network topology, the weak links that may be generated by the equipment in the power system with a load rate higher than a preset value under extreme events are identified, and corresponding weak link reinforcement strategies are generated based on the weak links.

[0015] Furthermore, the power supply structure optimization scheme is determined based on the power supply structure and output status, including:

[0016] Combined with the power supply structure and output status, the load rate and redundant capacity of each type of power supply are analyzed. Based on the load rate and redundant capacity, the anti-interference ability of the power supply under extreme events is analyzed. Based on the anti-interference ability, a power supply structural optimization plan is constructed.

[0017] Furthermore, the pre-disaster resilience indicators include system disconnection risk, expected damage level and power generation and transmission margin; the mid-disaster resilience indicators include disaster loss level, regional power shortage and available transmission capacity; the post-disaster resilience indicators include system response capability, system recovery efficiency and system recovery economy.

[0018] Furthermore, the scheduling method further includes:

[0019] The real-time operating status parameters are updated in real time according to the evolution process of extreme events.

[0020] Furthermore, the scheduling method further includes:

[0021] Based on the real-time operating status parameters, panoramic information of the power system during the disaster process is perceived, and the panoramic information includes meteorological information, equipment load information, load information, equipment failure risk information, load loss risk information, power loss information and load loss rate change curve.

[0022] One embodiment of the present invention provides a dispatching device for power system disaster prevention, comprising:

[0023] An operating status parameter acquisition module is used to obtain real-time operating status parameters of the power system;

[0024] a weak link reinforcement strategy generation module, configured to identify weak links of the power system according to the real-time operating status parameters and generate corresponding weak link reinforcement strategies;

[0025] The power structure optimization scheme determination module is used to determine the power structure optimization scheme based on the power structure and output status;

[0026] A resilience index update module is used to analyze the resilience index of the power system in combination with the power system resilience evaluation requirements, and update the resilience index according to the analysis results. The resilience index includes pre-disaster resilience index, mid-disaster resilience index and post-disaster resilience index;

[0027] The line repair strategy formulation module is used to combine the parameter information of different types of power sources in the post-disaster power system to determine the coordinated and orderly restoration principles of power sources in the post-disaster power outage area, and formulate a line repair strategy based on the coordinated and orderly restoration principles. The parameter information includes distribution, regional coverage and support capabilities.

[0028] One embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the scheduling method for power system disaster prevention as described above.

[0029] The embodiment of the present invention identifies weak links in the power system based on real-time operating status parameters and generates corresponding reinforcement strategies, which can effectively defend against disasters before they occur. In addition, the embodiment of the present invention analyzes the pre-disaster resilience indicators, mid-disaster resilience indicators, and post-disaster resilience indicators of the power system and updates these resilience indicators, thereby comprehensively considering the impact of resilience indicators at different disaster stages on disaster defense, and thus effectively improving the effectiveness of disaster defense.

[0030] Furthermore, the embodiments of the present invention determine the principle of coordinated and orderly recovery of power sources in the post-disaster power outage area by combining parameter information of different types of power sources in the post-disaster power system, formulate line repair strategies and perform related scheduling based on the coordinated and orderly recovery principles, and can effectively repair damaged lines after the disaster, thereby further improving the disaster prevention effect of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a flow chart of a method for dispatching power system disaster prevention provided by an embodiment of the present invention;

[0032] Figure 2 This is a schematic diagram of a weak link reinforcement strategy provided by an embodiment of the present invention;

[0033] Figure 3This is a schematic diagram of power supply structure optimization and output provided by an embodiment of the present invention;

[0034] Figure 4 This is a schematic diagram of a multi-stage power system resilience indicator provided by an embodiment of the present invention;

[0035] Figure 5 This is a schematic diagram of a component availability evaluation process provided by an embodiment of the present invention;

[0036] Figure 6 This is a schematic diagram of a black start feasibility assessment analysis provided by an embodiment of the present invention;

[0037] Figure 7 This is a schematic diagram of the structure of an intelligent scheduling platform provided by an embodiment of the present invention;

[0038] Figure 8 This is a schematic diagram showing a machine recovery strategy platform provided by an embodiment of the present invention;

[0039] Figure 9 It is a structural diagram of a dispatching device for power system disaster prevention provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0041] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0042] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0043] See also Figure 1An embodiment of the present invention provides a method for dispatching power system disaster prevention, including:

[0044] S1. Obtaining real-time operating status parameters of the power system;

[0045] In the embodiment of the present invention, real-time operating status parameters, including unit output, line flow, and node voltage, etc., can be obtained from the existing power dispatching platform.

[0046] S2. Identify weak links in the power system based on real-time operating status parameters and generate corresponding weak link reinforcement strategies;

[0047] The embodiment of the present invention identifies weak links in the power system and generates corresponding weak link reinforcement strategies, and can reinforce the weak links according to the reinforcement strategies, thereby effectively improving pre-disaster defense effects.

[0048] S3. Determine the power structure optimization plan based on the power structure and output status;

[0049] In the embodiment of the present invention, by determining the power structure optimization scheme, the robustness of the power supply can be effectively improved, and a pre-disaster auxiliary decision reference can be provided for the dispatcher.

[0050] S4. Analyze the resilience indicators of the power system based on the needs of power system resilience assessment, and update the resilience indicators based on the analysis results. The resilience indicators include pre-disaster resilience indicators, mid-disaster resilience indicators, and post-disaster resilience indicators.

[0051] In an embodiment of the present invention, the resilience indicators at different stages can be used to formulate corresponding strategies for different disaster stages, thereby comprehensively considering the impact of the resilience indicators at different disaster stages on disaster prevention, and thus effectively improving the effectiveness of disaster prevention.

[0052] S5. Combine the parameter information of different types of power sources in the post-disaster power system to determine the principle of coordinated and orderly restoration of power sources in the post-disaster power outage area, and formulate a line repair strategy based on the principle of coordinated and orderly restoration. The parameter information includes distribution, regional coverage and support capabilities.

[0053] The embodiment of the present invention identifies weak links in the power system based on real-time operating status parameters and generates corresponding reinforcement strategies, which can effectively defend against disasters before they occur. In addition, the embodiment of the present invention analyzes the pre-disaster resilience indicators, mid-disaster resilience indicators, and post-disaster resilience indicators of the power system and updates these resilience indicators, thereby comprehensively considering the impact of resilience indicators at different disaster stages on disaster defense, and thus effectively improving the effectiveness of disaster defense.

[0054] Furthermore, the embodiments of the present invention determine the principle of coordinated and orderly restoration of power sources in the post-disaster power outage area by combining parameter information of different types of power sources in the post-disaster power system, formulate line repair strategies and conduct related scheduling based on the principle of coordinated and orderly restoration, and effectively repair damaged lines after the disaster, thereby further improving the disaster prevention effect of the power system.

[0055] In one embodiment, step S1, obtaining real-time operating status parameters of the power system, includes:

[0056] The real-time operation status information of the power system is retrieved from the existing power dispatching platform through a preset data interface, and the network topology is drawn by combining the real-time operation status information and the GIS geographic map, and the real-time operation status parameters are marked on the topology.

[0057] In the process of retrieving data through a preset data interface in the embodiment of the present invention, network security requirements and real-time data transmission are guaranteed.

[0058] In one embodiment, step S2, identifying weak links in the power system based on real-time operating status parameters and generating corresponding weak link reinforcement strategies, includes:

[0059] Based on real-time operating status parameters and network topology, the weak links that may occur in equipment with load rates higher than preset values ​​in the power system under extreme events are identified, and corresponding weak link reinforcement strategies are generated based on the weak links.

[0060] In an embodiment of the present invention, after determining the weak links, combined with the elastic resources distributed in the system, such as energy storage, maintenance personnel, spare maintenance equipment, emergency power supply vehicles, etc., line reinforcement plans such as current over-limit transfer strategy, intelligent switch control strategy, and pre-disaster maintenance resource deployment strategy are formulated, and backup resources such as energy storage are deployed at key load nodes to meet the load power-capacity requirements during the disaster, providing a reference solution for the pre-disaster weak link reinforcement strategy.

[0061] See also Figure 2 , which is a schematic diagram of a weak link reinforcement strategy provided by an embodiment of the present invention. In this embodiment of the present invention, data such as the current load unit connection status, unit output, node load, and line information are obtained from the power dispatch cloud platform. A network topology diagram is drawn to display real-time unit output, line flow, and load curves. Historical extreme event data is also retrieved and compared with existing and historical data. Potential risks and vulnerable units, lines, voltage nodes, and load nodes are assessed through relevant models. Targeted reinforcement strategies are then formulated. Based on these reinforcement strategies, unit output optimization or energy storage configuration, line reinforcement, capacitor and phase-shifting phase configuration, and flexible load adjustment are performed.

[0062] In one embodiment, step S3, determining a power structure optimization solution based on the power structure and output status, includes:

[0063] Combined with the power supply structure and output status, the load rate and redundant capacity of various types of power supplies are analyzed. Based on the load rate and redundant capacity, the anti-interference ability of the power supply under extreme events is analyzed. Based on the anti-interference ability, a power supply structural optimization plan is constructed.

[0064] In an embodiment of the present invention, the power structure and output status can be combined to analyze the structural proportion of conventional power sources and new energy sources, the load rate of each type of power source, and its redundant capacity. Based on the load rate and redundancy, the power supply's anti-interference ability under extreme events can be analyzed to increase the output proportion of conventional power sources and reduce the number and output of weak new energy units. This optimizes the power supply structure and improves the robustness of the power supply to adjust the ratio of different types of power sources and the output of the units. The embodiment of the present invention forms a power structure optimization plan based on the above process, providing dispatchers with a pre-disaster auxiliary decision-making reference, and ensuring that the system proactively responds to the robustness requirements of extreme events before the disaster arrives.

[0065] See also Figure 3 This is a schematic diagram of a power supply structure optimization and output provided by an embodiment of the present invention. This embodiment retrieves information from the power dispatch system to determine the unit's operating conditions. Based on historical extreme event data, current potential risks, and the user's selected energy policy and two-stage maximum load shedding limits, corresponding constraints are added and calculated in the background. The optimized power supply structure and detailed unit optimization results are then displayed.

[0066] In one embodiment, pre-disaster resilience indicators include system loss risk, expected damage level, and power generation and transmission margin; mid-disaster resilience indicators include disaster loss level, regional power shortage, and available transmission capacity; and post-disaster resilience indicators include system response capability, system recovery efficiency, and system recovery economy.

[0067] In an embodiment of the present invention, the expected load loss situation, system decoupling and node isolation probability, and regional interconnection line transmission capacity can be analyzed to update the pre-disaster resilience index; the real-time load loss situation, the current regional power shortage and the available section transmission redundancy can be analyzed to update the disaster resilience index; the system recovery speed and proportion, the system load recovery efficiency and the economic cost of the system recovery process can be analyzed to update the post-disaster resilience index.

[0068] Please refer to Figure 4 , which is a schematic diagram of a multi-stage power system elasticity indicator provided by an embodiment of the present invention.

[0069] In one embodiment, the processing methods for different elasticity indicators are as follows:

[0070] Pre-disaster indicators:

[0071] Data reading:

[0072] 1. Extreme event information, load category composition capacity and equipment location information;

[0073] 2. Historical weak link (equipment) failure data under similar extreme events;

[0074] 3. Key contact line attribute information and special node information;

[0075] 4. Regional division and power generation capacity information of different regions.

[0076] Data output:

[0077] 1. Expected degree of damage, specifically: normal, mild, moderate, severe, and the calculation method is:

[0078] Pr i Load = load i fault probability + line ji fault probability

[0079]

[0080] Among them, LOAD is the load set, is the maximum load value of load i, Pr i LOSS is the probability of load i being lost.

[0081] 2. System delisting risk includes level 1, level 2 and level 3, and is calculated as follows:

[0082] Pr i Load = load i fault probability + line ji fault probability

[0083] Pr jk Line = Fault probability of line jk

[0084] Pr g generator = Generator g failure probability + line gi failure probability

[0085] Pr t transformer = Transformer i fault probability + Line it fault probability + Line ki fault probability

[0086]

[0087]

[0088]

[0089] Among them, Pr i Load is the probability of load i loss, Pr jk Line is the probability of line jk being damaged, Pr g generator is the probability of loss of generator g, Pr i transformer is the probability of transformer t being damaged, and N is the sum of all devices in the system.

[0090] 3. The power generation and transmission margins include 50%, 75%, and 90%;

[0091] The percentage of available capacity of units in different zones after regional division:

[0092]

[0093] Sub is the set of generator sets in the partition, S i GN With S i GR is the rated capacity and real-time power output of unit i;

[0094] Transmission capacity of key tie lines or flow sections:

[0095]

[0096] Section is the set of lines in the key contact line, I i GN with I i GR is the rated current carrying capacity and real-time transmission current value of line i.

[0097] Disaster indicators:

[0098] Data reading:

[0099] 1. The number and capacity of load losses;

[0100] 2. The number of damaged units in the region and their capacities;

[0101] 3. Current flow and current carrying capacity of key connecting lines.

[0102] Data output:

[0103] 1. The degree of loss during a disaster includes normal, mild, moderate and severe, corresponding to 25%, 50%, 70% and 85% respectively. The calculation method is as follows:

[0104]

[0105] S GDamage Damaged generators for lost capacity

[0106] S GN Rated capacity

[0107]

[0108] S LDamage Lost load Damaged load

[0109] S LN Rated load

[0110]

[0111] 2. Regional power shortage;

[0112] Affected by the disaster, the regional power shortage is

[0113] Among them, S i Lnormal is the power of the load i in normal scenarios, S i Lemergency =i is the power of the load in operation during the disaster. =i is the percentage of power loss in the region.

[0114]

[0115] 3. Available transmission capacity:

[0116]

[0117] Among them, I ij GR Real-time current value of the line, I ij GN Rated current carrying capacity of the line, section S is the collection of lines ij.

[0118] Post-disaster indicators:

[0119] Data reading:

[0120] 1. Average system performance recovery speed (number of restored load nodes and total load capacity), time to recovery to a specified ratio (monitored in conjunction with load recovery), and time from disaster end to recovery;

[0121] 2. Damage to important load nodes and their recovery efficiency (important load loss or reduction value / total capacity, node efficiency = (node ​​recovery capacity / total capacity) / (node ​​recovery time / total time for full recovery)), system overall load recovery efficiency (total restored capacity / rated total capacity) / (recovery time / total time for full recovery), system phased recovery ratio (total capacity restored in phases / rated total capacity) / (phased recovery time / total time for full recovery);

[0122] 3. The system economic cost consumption of the recovery process (various resource scheduling costs and repair costs), and its radar chart.

[0123] Data output:

[0124] 1. System response capability is divided into general, fast, and fast, which correspond to 30%, 50%, and 70% respectively;

[0125]

[0126]

[0127] System response capability = material deployment capability + emergency team deployment capability

[0128] 2. System recovery efficiency - specific value:

[0129]

[0130] Among them, t re,c is the time when device recovery ends, t sl,c is the time when equipment repair starts, at t sl,c At time , the number of equipment lost is N t , N r (t) is the number of devices lost during the recovery process.

[0131] 3. System recovery economy includes low, medium and high;

[0132] Material allocation cost = total amount of materials allocated to the area × cost coefficient

[0133] Emergency team deployment cost = total number of emergency teams deployed to the area × personnel deployment cost coefficient

[0134]

[0135] Overall indicator output:

[0136] 4. Number of areas that meet the standards flexibly: the number of areas that fully meet the standards (90%), the number of areas that generally meet the standards (75%), and the number of areas that have not yet met the standards (60%).

[0137]

[0138] Before the disaster = [1-expected damage level × disconnection risk level × (1-generation and transmission margin)] × 100

[0139] Disaster = [loss extent × regional power outage percentage × (1-available transmission capacity)] × 100

[0140] Post-disaster = system response capability × system recovery efficiency × economic level × 100

[0141] Combined with the analysis results of the above elasticity indicators, the elasticity indicators of different areas and at different times are updated in real time on the dispatching platform to provide dispatchers with intuitive and quantitative elasticity indicator information.

[0142] In one embodiment, step S5, combining parameter information of different types of power sources in the post-disaster power system, determining a principle for coordinated and orderly restoration of power sources in the post-disaster power outage area, and formulating a line repair strategy based on the principle of coordinated and orderly restoration, includes:

[0143] Based on the attributes and operating parameters of each circuit breaker, power unit, transformer and other equipment in the power system, the availability of each component is comprehensively evaluated to obtain the component status library; please refer to Figure 5 , which is a schematic diagram of a component availability evaluation process provided by an embodiment of the present invention. In this embodiment of the present invention, the availability of the equipment can be calculated and displayed based on the statistical accident probability, total operating time and rated service life historical data of the equipment. Combined with the equipment status, fault conditions and functional completeness in the protection information system data table, the availability curve of the equipment can be displayed.

[0144] Analyze the distribution of traditional units and different types of renewable energy sources such as wind, solar, and storage, as well as their output, ramping capability, start-up time, and supported capacity, and analyze their feasibility as black start power sources for units; please refer to Figure 6 , which is a schematic diagram of a black start feasibility evaluation and analysis provided by an embodiment of the present invention. In this embodiment of the present invention, influencing factors are determined, and for different influencing factors, the similarity between each historical data and the time period to be measured is calculated respectively. The optimal training sample is screened and the influence factor of each influencing factor on the output power of the distributed power supply is calculated based on the historical data. The output power of the unit is predicted and analyzed, and compared with the load power. The output power of the distributed power supply is evaluated according to the power evaluation index, and the feasibility of the black start of each power supply is obtained.

[0145] Based on the distribution of different types of power sources in the post-disaster system, regional coverage, support capabilities and other parameter information, the principles for coordinated and orderly restoration of conventional thermal power, gas-fired units and new energy distributed generation in the post-disaster power outage area are determined;

[0146] Formulate line repair strategies based on the principle of coordinated and orderly recovery to achieve rapid recovery of the system after a disaster.

[0147] In one embodiment, the scheduling method further includes:

[0148] According to the evolution of extreme events, real-time operating status parameters are updated in real time.

[0149] In one embodiment, the scheduling method further includes:

[0150] Based on real-time operating status parameters, the panoramic information of the power system during the disaster process is perceived. The panoramic information includes meteorological information, equipment load information, load information, equipment failure risk information, load loss risk information, power loss information and load loss rate change curve.

[0151] In an embodiment of the present invention, by perceiving panoramic information during a disaster process, it is possible to proactively and efficiently monitor extreme events, and to perform relevant scheduling based on the perceived panoramic information, thereby effectively improving the scheduling efficiency of disaster prevention for the power system.

[0152] See also Figure 7 In one embodiment, an intelligent scheduling platform is provided, which includes a defense, reinforcement and emergency measures intelligent scheduling module, an information perception and quantitative evaluation module and an optimization decision module.

[0153] See also Figure 8 , which is a schematic diagram showing a machine recovery strategy platform provided by an embodiment of the present invention. In the embodiment of the invention, by obtaining parameters such as the start-up time, ramp rate, rated capacity, etc. of conventional units and the start-up time, rated capacity, reactive compensation configuration, control method, and output forecast of new energy units, the power source that can be restored with priority is obtained through background operation so as to supply power to the power outage area and restore the load as soon as possible, and the priority ranking of the power sources can be displayed in a table.

[0154] The implementation of the present invention has the following beneficial effects:

[0155] The embodiment of the present invention identifies weak links in the power system based on real-time operating status parameters and generates corresponding reinforcement strategies, which can effectively defend against disasters before they occur. In addition, the embodiment of the present invention analyzes the pre-disaster resilience indicators, mid-disaster resilience indicators, and post-disaster resilience indicators of the power system and updates these resilience indicators, thereby comprehensively considering the impact of resilience indicators at different disaster stages on disaster defense, and thus effectively improving the effectiveness of disaster defense.

[0156] Furthermore, the embodiments of the present invention determine the principle of coordinated and orderly restoration of power sources in the post-disaster power outage area by combining parameter information of different types of power sources in the post-disaster power system, formulate line repair strategies and conduct related scheduling based on the principle of coordinated and orderly restoration, and effectively repair damaged lines after the disaster, thereby further improving the disaster prevention effect of the power system.

[0157] See also Figure 9 Based on the same inventive concept as the above embodiment, one embodiment of the present invention provides a dispatching device for power system disaster prevention, comprising:

[0158] An operating state parameter acquisition module 10 is used to obtain real-time operating state parameters of the power system;

[0159] A weak link reinforcement strategy generation module 20 is used to identify weak links in the power system based on real-time operating status parameters and generate corresponding weak link reinforcement strategies;

[0160] The power structure optimization solution determination module 30 is used to determine the power structure optimization solution based on the power structure and output status;

[0161] A resilience index updating module 40 is configured to analyze the resilience index of the power system in accordance with the power system resilience evaluation requirements and update the resilience index according to the analysis results. The resilience index includes a pre-disaster resilience index, a mid-disaster resilience index, and a post-disaster resilience index.

[0162] The line repair strategy formulation module 50 is used to combine the parameter information of different types of power sources in the post-disaster power system to determine the coordinated and orderly restoration principle of power sources in the post-disaster power outage area, and formulate a line repair strategy based on the coordinated and orderly restoration principle. The parameter information includes distribution, regional coverage and support capabilities.

[0163] In one embodiment, the operating status parameter acquisition module 10 is further configured to:

[0164] The real-time operation status information of the power system is retrieved from the existing power dispatching platform through a preset data interface, the network topology is drawn in combination with the real-time operation status information and the GIS geographic map, and the real-time operation status parameters are marked on the topology.

[0165] In one embodiment, the weak link reinforcement strategy generation module 20 is further configured to:

[0166] According to the real-time operating status parameters and the network topology, the weak links that may be generated by the equipment in the power system with a load rate higher than a preset value under extreme events are identified, and corresponding weak link reinforcement strategies are generated based on the weak links.

[0167] In one embodiment, the power structure optimization solution determination module 30 is further configured to:

[0168] Combined with the power supply structure and output status, the load rate and redundant capacity of each type of power supply are analyzed. Based on the load rate and redundant capacity, the anti-interference ability of the power supply under extreme events is analyzed. Based on the anti-interference ability, a power supply structural optimization plan is constructed.

[0169] In one embodiment, the pre-disaster resilience indicators include system loss risk, expected damage level and power generation and transmission margin; the mid-disaster resilience indicators include disaster loss level, regional power shortage and available transmission capacity; the post-disaster resilience indicators include system response capability, system recovery efficiency and system recovery economy.

[0170] In one embodiment, the device further includes an operating status parameter updating module, configured to:

[0171] The real-time operating status parameters are updated in real time according to the evolution process of extreme events.

[0172] In one embodiment, the device includes a panoramic information perception module for:

[0173] Based on the real-time operating status parameters, panoramic information of the power system during the disaster process is perceived, and the panoramic information includes meteorological information, equipment load information, load information, equipment failure risk information, load loss risk information, power loss information and load loss rate change curve.

[0174] One embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the scheduling method for power system disaster prevention as described above.

[0175] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for dispatching power system disaster prevention, characterized in that: include: Obtain real-time operating status parameters of the power system; Identifying weak links in the power system according to the real-time operating status parameters and generating corresponding weak link reinforcement strategies; Analyze the load rate and redundant capacity of each type of power supply based on the power supply structure and output status. Analyze the anti-interference capability of the power supply under extreme events based on the load rate and redundant capacity. Build a power supply structural optimization plan based on the anti-interference capability. In combination with the needs of power system resilience assessment, the resilience indicators of the power system are analyzed and updated based on the analysis results. The resilience indicators include pre-disaster resilience indicators, mid-disaster resilience indicators, and post-disaster resilience indicators. The pre-disaster resilience indicators include system disconnection risk, expected damage level, and power generation and transmission margin. The expected damage level includes normal, mild, moderate, and severe. The calculation formula is as follows: Among them, LOAD is the load set, is the maximum load value of load i, is the probability of load i loss; The system decoupling risk includes level 1, level 2 and level 3, which are calculated as follows: = Fault probability of line jk = Transformer t fault probability + Line it fault probability + Line ki fault probability in, is the probability of load i loss, is the probability of line jk being damaged, is the probability of generator g being lost, is the probability of transformer t being damaged, and N is the sum of all the equipment in the system; The power generation and transmission margin includes the percentage of available capacity of the units and the transmission capacity of key tie lines or flow sections. After regional division, the expression of the percentage of available capacity of the units in different areas is as follows: sub is the set of generator sets in the partition, and Respectively for units Rated capacity and real-time power output; The expression of the transmission capacity of the key tie line or flow section is as follows: Section is the line set in the key contact line, and Line Rated current carrying capacity and real-time transmission current value; Combined with the parameter information of different types of power sources in the post-disaster power system, the principle of coordinated and orderly restoration of power sources in the post-disaster power outage area is determined, and a line repair strategy is formulated based on the coordinated and orderly restoration principle. The parameter information includes distribution, regional coverage and support capabilities.

2. The method for dispatching power system disaster prevention according to claim 1, wherein: The obtaining of real-time operating status parameters of the power system includes: The real-time operation status information of the power system is retrieved from the existing power dispatching platform through a preset data interface, the network topology is drawn in combination with the real-time operation status information and the GIS geographic map, and the real-time operation status parameters are marked on the network topology.

3. The method for dispatching power system disaster prevention according to claim 1, wherein: The step of identifying weak links of the power system according to the real-time operating status parameters and generating corresponding weak link reinforcement strategies includes: According to the real-time operating status parameters and the network topology, the weak links that may be generated by the equipment in the power system with a load rate higher than a preset value under extreme events are identified, and corresponding weak link reinforcement strategies are generated based on the weak links.

4. The method for dispatching power system disaster prevention according to claim 1, wherein: The disaster resilience indicators include the extent of losses during the disaster, regional power shortages and available transmission capacity; the post-disaster resilience indicators include system response capability, system recovery efficiency and system recovery economy.

5. The method for dispatching power system disaster prevention according to claim 1, wherein: Also includes: The real-time operating status parameters are updated in real time according to the evolution process of extreme events.

6. The method for dispatching power system disaster prevention according to claim 1, wherein: Also includes: Based on the real-time operating status parameters, panoramic information of the power system during the disaster process is perceived, and the panoramic information includes meteorological information, equipment load information, load information, equipment failure risk information, load loss risk information, power loss information and load loss rate change curve.

7. A dispatching device for power system disaster prevention, characterized in that: include: An operating status parameter acquisition module is used to obtain real-time operating status parameters of the power system; a weak link reinforcement strategy generation module, configured to identify weak links of the power system according to the real-time operating status parameters and generate corresponding weak link reinforcement strategies; A power structure optimization solution determination module is used to analyze the load rate and redundant capacity of various types of power supplies based on the power structure and output status, analyze the anti-interference capability of the power supply under extreme events based on the load rate and redundant capacity, and construct a power structure optimization solution based on the anti-interference capability; The resilience index update module is used to analyze the resilience index of the power system in combination with the power system resilience evaluation requirements, and update the resilience index according to the analysis results. The resilience index includes pre-disaster resilience index, mid-disaster resilience index and post-disaster resilience index; the pre-disaster resilience index includes system disconnection risk, expected damage degree and power generation and transmission margin; the pre-disaster resilience index includes system disconnection risk, expected damage degree and power generation and transmission margin; the expected damage degree includes normal, mild, moderate and severe, and the calculation formula is as follows: Among them, LOAD is the load set, is the maximum load value of load i, is the probability of load i loss; The system decoupling risk includes level 1, level 2 and level 3, which are calculated as follows: = Fault probability of line jk = Transformer t fault probability + Line it fault probability + Line ki fault probability in, is the probability of load i loss, is the probability of line jk being damaged, is the probability of generator g being lost, is the probability of transformer t being damaged, and N is the sum of all the equipment in the system; The power generation and transmission margin includes the percentage of available capacity of the units and the transmission capacity of key tie lines or flow sections. After regional division, the expression of the percentage of available capacity of the units in different areas is as follows: sub is the set of generator sets in the partition, and Respectively for units Rated capacity and real-time power output; The expression of the transmission capacity of the key tie line or flow section is as follows: Section is the line set in the key contact line, and Separate lines Rated current carrying capacity and real-time transmission current value; The line repair strategy formulation module is used to combine the parameter information of different types of power sources in the post-disaster power system to determine the coordinated and orderly restoration principles of power sources in the post-disaster power outage area, and formulate a line repair strategy based on the coordinated and orderly restoration principles. The parameter information includes distribution, regional coverage and support capabilities.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the scheduling method for power system disaster prevention according to any one of claims 1 to 6.

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