Power grid restoring force evaluation method and system under extreme weather disasters

Abstract

The invention discloses a power grid restoring force evaluation method and system under extreme weather disasters, and the method comprises the steps: obtaining power grid operation basic data and power grid restoring data for coping with an expected fault under the extreme weather disasters, power generation energy diversity evaluation, power supply preservation rate evaluation, emergency power supply availability rate evaluation, power supply capability evaluation and path active power margin evaluation are carried out; and performing weighted summation on evaluation results to obtain a comprehensive evaluation result of the power grid restoring force under the extreme weather disaster. According to the method, potential weak links in the power grid can be accurately identified, a scientific basis is provided for reasonable configuration of emergency resources, and more effective prevention measures and emergency response plans can be formulated by quantifying the influence of extreme weather disasters on the recovery capability of the power grid, so that the capability of the power grid for resisting natural disasters is remarkably improved, and the safety of the power grid is improved. Economic loss and social influence caused by power failure due to disasters are reduced, and important theoretical value and practical application value are shown.

Description

Technical Field

[0001] The present invention relates to the technical field of power system safety and stability assessment, and in particular to a method and system for assessing power grid resilience under extreme weather disasters. Background Art

[0002] The stable operation of the power system plays an irreplaceable role in ensuring national economic security and social order. However, with the increasing impact of global climate change, the frequency and intensity of extreme weather events have increased significantly, which has brought unprecedented challenges to the safe operation of the power system. Natural disasters such as typhoons, wildfires, ice cover and heavy rains may not only cause physical damage to key facilities such as transmission lines and substations, but may also trigger chain reactions, leading to local or even large-scale power outages, seriously affecting people's quality of life and the continuity of industrial production.

[0003] In the face of such extreme weather disasters, existing power grid recovery strategies mostly rely on post-event responses and lack effective prediction and quantitative analysis of potential failure scenarios. This passive response mode is difficult to meet the needs of rapid power restoration, especially in the early stages of a disaster. Due to the lag and uncertainty in information acquisition, it is often impossible to accurately assess the extent of damage to the power grid and its recovery capabilities, which in turn affects the rational allocation and efficient use of emergency resources. In addition, traditional evaluation methods mainly focus on the analysis of the static performance of the power grid, and insufficient consideration is given to the recovery process under dynamically changing conditions. It fails to fully consider the impact of extreme weather disasters on the structure and operating status of the power grid. Therefore, there are great limitations in practical applications.

[0004] In response to the above problems, it is urgent to develop a power grid resilience assessment method that can adapt to the characteristics of extreme weather disasters and provide strong technical support for ensuring the security of power supply. Summary of the invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a method and system for evaluating the resilience of power grids under extreme weather disasters to solve the current problems of lack of a quantitative evaluation method for the resilience of power grids under extreme weather disasters, inability to effectively identify weak points in the power grid, and inability to carry out targeted advance deployment and emergency adjustment of emergency resources.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a method for assessing the resilience of a power grid under extreme weather disasters, comprising: acquiring basic power grid operation data and power grid recovery data for responding to anticipated faults under extreme weather disasters; performing a power generation energy diversity assessment, a power supply preservation rate assessment, an emergency power supply availability assessment, a power supply capacity assessment, and a path active power margin assessment based on the basic power grid operation data and the power grid recovery data for responding to anticipated faults under extreme weather disasters; and performing a weighted summation on the results of the assessments to obtain a comprehensive assessment result of the resilience of the power grid under extreme weather disasters.

[0009] As a preferred solution of the method for evaluating the resilience of power grids under extreme weather disasters described in the present invention, the evaluation of the diversity of power generation energy includes:

[0010] The power generation energy diversity index G of the power grid during the period t after the power outage t The calculation is:

[0011]

[0012] Where M is the number of energy types used for power generation, m is the sequence number of energy types, such as fossil energy, new energy, and nuclear energy are represented by m=1, m=2, and m=3 respectively, P m,t N is the effective power supply generated by the mth type of energy during the t period after the power outage. m represents the number of energy categories in the m-th energy system, It is the proportion of the effective power supply of the qth energy type in the t period after the power outage to the effective power supply of the mth energy type.

[0013] As a preferred solution of the method for evaluating the resilience of power grids under extreme weather disasters described in the present invention, the power conservation rate evaluation includes:

[0014] The power conservation rate PS of the power grid during the period t after the power outage t The calculation is:

[0015]

[0016] Among them, N G,t P is the number of power sources that can provide effective power in the power grid during the period t after the power outage. k,t is the effective power supply of the kth power source in the power grid during the period t after the power outage, N BG P is the number of power sources that can provide effective power when the power grid is intact before the power outage. g It is the effective power supplied by the gth power source when the grid performance is intact before the power outage.

[0017] As a preferred solution of the method for evaluating the resilience of power grids under extreme weather disasters described in the present invention, the emergency power supply availability evaluation includes:

[0018] The emergency power availability EPS of the power grid during the period t after the power outage t The calculation is:

[0019]

[0020] Among them, N EPS is the number of nodes in the power grid that have emergency power supply access conditions, P EPS,t N is the available power of the emergency power supply that can be connected to the access point during the period t after the power outage. PS is the total number of nodes in the power grid, P LR,t It is the total load demand power to be restored in the power grid during period t after the power outage.

[0021] As a preferred solution of the method for evaluating power grid resilience under extreme weather disasters described in the present invention, the power supply capacity evaluation includes:

[0022] The power supply capacity index PSC of the power grid during the period t after the power outage t The calculation is:

[0023]

[0024] in, is the number of live domains in the power grid during period t after the power outage, are the number of loads to be restored and the number of power sources in the powered domain p during period t after the power outage, P p,l,t is the power demand of the lth load to be restored in the powered domain p during period t after the power outage, P p,g,t is the available power of the gth power supply in the powered domain p during period t after the power outage.

[0025] As a preferred solution of the method for evaluating the resilience of power grids under extreme weather disasters described in the present invention, the path active power margin evaluation includes:

[0026] Active power margin PSP of the power transmission path of the power grid during the period t after the power outage t The calculation is:

[0027]

[0028] Among them, N TL,t is the number of intact lines in the power grid during period t after the power outage, is the upper limit of the active power transmitted by the tlth line in the power grid during the period t after the power outage, It is the actual active power transmitted by the tlth line in the power grid during the period t after the power outage.

[0029] As a preferred solution of the method for evaluating the resilience of power grid under extreme weather disasters described in the present invention, the acquisition of the comprehensive evaluation results of the resilience of power grid under extreme weather disasters includes:

[0030] The comprehensive evaluation result of power grid resilience under extreme weather disasters Re is obtained by weighted summing the results of power generation energy diversity assessment, power conservation rate assessment, emergency power availability assessment, power supply capacity assessment and path active power margin assessment. t , expressed as:

[0031] RE t =α1·G t +α2·PS t +α3·EPS t +α4·PSC t +α5·ESP t

[0032] Among them, α1, α2, α3, α4, and α5 are weight coefficients.

[0033] In a second aspect, the present invention provides a power grid resilience assessment system under extreme weather disasters, comprising:

[0034] Data acquisition module, used to obtain basic data on power grid operation and power grid recovery data in response to anticipated failures under extreme weather disasters;

[0035] A grouping assessment module, for conducting power generation energy diversity assessment, power conservation rate assessment, emergency power availability assessment, power supply capacity assessment, and path active power margin assessment based on the basic power grid operation data and power grid restoration data for anticipated failures under extreme weather disasters;

[0036] The comprehensive resilience assessment module is used to perform weighted summation on the assessment results to obtain a comprehensive assessment result of the resilience of the power grid under extreme weather disasters.

[0037] In a third aspect, the present invention provides a computing device, comprising:

[0038] Memory and processor;

[0039] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for assessing the resilience of a power grid under extreme weather disasters are implemented.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for assessing the resilience of a power grid under extreme weather disasters.

[0041] Compared with the prior art, the present invention has the following beneficial effects: the present invention provides a method and system for evaluating the resilience of power grids under extreme weather disasters. By integrating basic power grid operation data with recovery data for anticipated failures under extreme weather disasters, and using advanced data analysis methods, a comprehensive and in-depth evaluation of power grid resilience is achieved from multiple dimensions, including power generation energy diversity, power supply preservation rate, emergency power supply availability, power supply capacity, and path active power margin. It can not only accurately identify potential weak links in the power grid and provide a scientific basis for the rational allocation of emergency resources, but also quantify the impact of extreme weather disasters on the resilience of the power grid, which helps to formulate more effective preventive measures and emergency response plans, thereby significantly improving the power grid's ability to resist natural disasters, reducing the economic losses and social impacts caused by power outages due to disasters, and showing important theoretical value and practical application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0043] Figure 1 A schematic diagram of the overall process logic of a method for assessing power grid resilience under extreme weather disasters according to an embodiment of the present invention;

[0044] Figure 2 This is a schematic diagram of a load recovery process after a simulated extreme weather failure in a method for assessing power grid resilience under extreme weather disasters according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0046] Example 1

[0047] Reference Figure 1 As an embodiment of the present invention, a method for evaluating the resilience of a power grid under extreme weather disasters is provided, such as Figure 1 The specific steps shown include:

[0048] S100: Obtain basic data on power grid operation and power grid restoration data for anticipated failures under extreme weather disasters;

[0049] S200: Based on the basic data of power grid operation and the data of power grid restoration in response to expected failures under extreme weather disasters, it conducts power generation energy diversity assessment, power supply preservation rate assessment, emergency power supply availability assessment, power supply capacity assessment and path active power margin assessment;

[0050] S300: Perform weighted summation on the evaluation results to obtain a comprehensive evaluation result of the power grid resilience under extreme weather disasters.

[0051] It should be noted that the present invention provides a method and system for evaluating the resilience of a power grid under extreme weather disasters. By integrating basic power grid operation data with recovery data for anticipated failures under extreme weather disasters, and using advanced data analysis methods, a comprehensive and in-depth evaluation of the resilience of the power grid is achieved from multiple dimensions, including power generation energy diversity, power conservation rate, emergency power availability, power supply capacity, and path active power margin. This method can not only accurately identify potential weak links in the power grid and provide a scientific basis for the rational allocation of emergency resources, but also quantify the impact of extreme weather disasters on the resilience of the power grid, thereby helping to formulate more effective preventive measures and emergency response plans, thereby significantly improving the power grid's ability to resist natural disasters, reducing the economic losses and social impacts caused by power outages due to disasters, and demonstrating important theoretical value and practical application value.

[0052] In the embodiment of the present application, the above step S100 includes the following sub-steps A1-A2;

[0053] In A1: basic grid operation data is obtained through the power company automation system, including but not limited to grid topology, types and quantities of grid power generation energy, various technical parameters of power sources (such as maximum active power, starting power, minimum technical output, etc.), load conditions, etc.;

[0054] In A2: Obtain grid recovery data for anticipated failures under extreme weather disasters through the power company's automation system, including but not limited to: the type, quantity and power provided by power generation in each period of the grid recovery phase after the power outage, load recovery status in each period, line recovery status and transmission power in each period, etc.

[0055] It should be noted that the above step S100 ensures the data integrity and accuracy of subsequent evaluation work, and provides a solid data foundation for multi-dimensional evaluations such as power generation energy diversity, power conservation rate, emergency power supply availability, power supply capacity and path active power margin, effectively improving the reliability and practicality of the evaluation results, helping to more accurately identify weak links in the power grid and guide the rational allocation and emergency adjustment of emergency resources.

[0056] In the embodiment of the present application, the above step S200 includes the following sub-steps B1-B5;

[0057] In B1: Conduct an assessment of the diversity of energy sources for power generation;

[0058] Specifically, the power generation energy diversity index G of the power grid in the period t after the power outage t The calculation is:

[0059]

[0060] Where M is the number of energy types used for power generation, m is the sequence number of energy types, such as fossil energy, new energy, and nuclear energy are represented by m=1, m=2, and m=3 respectively, P m,t N is the effective power supply generated by the mth type of energy during the t period after the power outage, that is, the rated output of the conventional power plant that can supply power to the load, the maximum possible output of the new energy power plant that can supply power to the load, and the mobile emergency power supply that can be connected to the grid to supply power to the load, etc. m represents the number of energy categories in the m-th energy system, The ratio of the effective power supply of the qth energy type in the t period after the power outage to the effective power supply of the mth energy type;

[0061] It should be noted that the power generation energy of the power system usually includes coal, oil, natural gas, solar energy, hydropower, wind energy, nuclear energy, etc. The energy types connected to the power grid are diverse, and the energy is continuously complementary, which is more conducive to improving the resilience of the power grid. t The larger it is, the more resilient the grid is.

[0062] In B2: Power conservation rate assessment includes:

[0063] Specifically, the power conservation rate PS of the power grid during the period t after the power outage t The calculation is:

[0064]

[0065] Among them, N G,t P is the number of power sources that can provide effective power in the power grid during the period t after the power outage, including power transmission from neighboring power grids, distributed power sources, emergency power sources, etc. k,t is the effective power supply of the kth power source in the power grid during the period t after the power outage, N BG P is the number of power sources that can provide effective power when the power grid is intact before the power outage. g The effective power supply of the gth power source when the power grid performance is intact before the power outage;

[0066] It should be noted that PS t The larger it is, the more resilient the grid is.

[0067] In B3: The emergency power supply availability assessment includes:

[0068] Specifically, the emergency power availability EPS of the power grid during the period t after the power outage t The calculation is:

[0069]

[0070] Among them, N EPS is the number of nodes in the power grid that have emergency power supply access conditions, P EPS,t N is the available power of the emergency power supply that can be connected to the access point during the period t after the power outage. PS is the total number of nodes in the power grid, P LR,t is the total load demand power to be restored in the power grid during period t after the power outage;

[0071] It should be noted that if the power outage area contains emergency power supply, the emergency power supply is helpful to improve the power supply recovery capability of the power grid during power outage, so EPS t The larger it is, the more resilient the grid is.

[0072] In B4: Conducting power supply capability assessment includes:

[0073] Specifically, the power supply capacity index PSC of the power grid during the period t after the power outage t The calculation is:

[0074]

[0075] in, is the number of live domains in the power grid during period t after the power outage, are the number of loads to be restored and the number of power sources in the powered domain p during period t after the power outage, P p,l,t is the power demand of the lth load to be restored in the powered domain p during period t after the power outage, P p,g,t is the available power of the gth power supply in the powered domain p during period t after the power outage;

[0076] It should be noted that the power supply capacity index reflects the power supply capacity of the power grid after a power outage. t The larger it is, the more resilient the grid is.

[0077] In B5: The path active power margin assessment includes:

[0078] Specifically, the active power margin PSP of the power transmission path of the power grid in the period t after the power outage t The calculation is:

[0079]

[0080] Among them, N TL,t is the number of intact lines in the power grid during period t after the power outage, is the upper limit of the active power transmitted by the tlth line in the power grid during the period t after the power outage, It is the actual active power transmitted by the tlth line in the power grid during the period t after the power outage.

[0081] It should be noted that the above step S200 achieves a comprehensive assessment of the resilience of the power grid from multiple dimensions, such as power generation energy diversity, power conservation rate, emergency power availability, power supply capacity, and path active power margin, by conducting an in-depth analysis of the basic data of power grid operation and the recovery data for anticipated failures under extreme weather disasters. It can not only carefully examine the overall recovery status of the power grid after suffering an extreme weather disaster, but also accurately identify which aspects are the key factors and potential bottlenecks in the power grid recovery process, providing a scientific basis and technical support for the optimal design of the power grid, emergency resource allocation, and the formulation of disaster recovery strategies, greatly enhancing the application value and guiding significance of the evaluation results.

[0082] In the embodiment of the present application, the above step S300 includes the following sub-step C1;

[0083] In C1: The comprehensive evaluation result RE of power grid resilience under extreme weather disasters is obtained by weighted summing the results of power generation energy diversity assessment, power conservation rate assessment, emergency power availability assessment, power supply capacity assessment and path active power margin assessment. t , expressed as:

[0084] RE t =α1·G t +α2·PS t +α3·EPS t +α4·PSC t +α5·ESP t

[0085] Among them, α1, α2, α3, α4, and α5 are weight coefficients, which can be adjusted according to actual conditions. If there is no obvious preference for power generation energy diversity, power conservation rate, emergency power availability, power supply capacity, and path active power margin, it is recommended to take α1 = α2 = α3 = α4 = α5 = 0.2.

[0086] It should be noted that the above step S300 realizes the comprehensive quantification of the resilience of the power grid under extreme weather disasters. It can not only integrate various independent evaluation indicators to form an overall indicator that comprehensively reflects the resilience of the power grid, but also assign different weights according to the importance and impact of each indicator, making the evaluation results more objective and reasonable, providing a scientific decision-making basis for power grid operators, helping to accurately identify the weak links of the power grid and make emergency preparations in advance, and greatly improving the ability and efficiency of the power grid to cope with extreme weather disasters.

[0087] The above is a schematic scheme of the method for assessing the resilience of power grids under extreme weather disasters of this embodiment. It should be noted that the technical scheme of the system for assessing the resilience of power grids under extreme weather disasters and the technical scheme of the method for assessing the resilience of power grids under extreme weather disasters described above belong to the same concept. For details not described in detail in the technical scheme of the system for assessing the resilience of power grids under extreme weather disasters in this embodiment, please refer to the description of the technical scheme of the method for assessing the resilience of power grids under extreme weather disasters described above.

[0088] This embodiment also provides a power grid resilience assessment system under extreme weather disasters, including:

[0089] Data acquisition module, used to obtain basic data on power grid operation and power grid recovery data in response to anticipated failures under extreme weather disasters;

[0090] A group assessment module is used to evaluate the diversity of power generation energy, power conservation rate, emergency power availability, power supply capacity, and path active power margin based on basic grid operation data and grid restoration data for anticipated failures under extreme weather disasters;

[0091] The comprehensive resilience assessment module is used to perform weighted summation on the assessment results to obtain a comprehensive assessment result of the resilience of the power grid under extreme weather disasters.

[0092] The above-mentioned unit modules may be embedded in or independent of a processor in a computer device in the form of hardware, or may be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above-mentioned modules.

[0093] This embodiment also provides a computing device, which includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for assessing the resilience of a power grid under extreme weather disasters is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0094] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method proposed in the above embodiment is implemented.

[0095] The storage medium proposed in this embodiment and the method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0096] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0097] Example 2

[0098] Reference Figure 2 Based on the previous embodiment, this embodiment provides an application example of a method and system for evaluating power grid resilience under extreme weather disasters, in order to verify and illustrate the technical effects adopted in this method.

[0099] like Figure 2 The figure shows a schematic diagram of load recovery process after simulating extreme weather failure using the power grid as an example. In normal operation, generator G1 supplies power to system 1, and generator G2 supplies power to system 2. The two systems are connected through a 35kV side QF 101 and 10kV side QF 109 The normally open backup contact lines are connected, and each system is equipped with a normally open main switch and backup connection lines.

[0100] Scenario 1: Due to extreme weather disasters, the 35kV outgoing line at G1 fails. Figure 2 The red cross in the middle indicates that all loads in the system 1 area are out of power. Table 1 shows the power supply capacity and type, and Table 2 shows the recovery plan for scenario 1.

[0101] Table 1: Available power supply types and capacities.

[0102]

[0103] Table 2: Grid restoration scheme for scenario 1.

[0104]

[0105] Scenario 2: Due to extreme weather disasters, the 35kV outgoing lines at G1 and G2 are both faulty. The purple cross in the figure indicates that all loads in the system 1 and system 2 areas are out of power. DG3 in system 1 is a wind turbine. Due to the influence of wind, the output power fluctuates greatly. DG2 cannot maintain the power fluctuation of DG3. Therefore, the island recovery plan of system 1 is consistent with that of scenario 1. The recovery plan of system 2 is shown in Table 3.

[0106] Table 3: Scenario 2 grid system 2 recovery plan.

[0107]

[0108] According to the process of power generation energy diversity assessment, power conservation rate assessment, emergency power supply availability assessment, power supply capacity assessment and path active power margin assessment, the grid resilience is calculated and the results are shown in Table 4.

[0109] Table 4: Resilience assessment results.

[0110]

[0111] As can be seen from Table 4, the resilience of the power grid in scenario 1 is better than that in scenario 2. Therefore, the power grid resilience assessment method under extreme weather disasters provided by the present invention integrates the basic data of power grid operation and the recovery data of expected failures under extreme weather disasters, and uses advanced data analysis methods to achieve a comprehensive and in-depth assessment of power grid resilience from multiple dimensions such as power generation energy diversity, power supply preservation rate, emergency power supply availability, power supply capacity and path active power margin. It can not only accurately identify potential weak links in the power grid and provide a scientific basis for the rational allocation of emergency resources, but also quantify the impact of extreme weather disasters on the resilience of the power grid, which is helpful to formulate more effective preventive measures and emergency response plans, thereby significantly improving the ability of the power grid to resist natural disasters, reducing the economic losses and social impacts caused by power outages due to disasters, and showing important theoretical value and practical application value.

[0112] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0113] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of complete hardware embodiments, complete software embodiments, or embodiments in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiments of the present application can be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0114] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0115] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0116] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0117] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0118] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for assessing power grid resilience under extreme weather disasters, characterized in that: include: Obtain basic data on power grid operation and power grid restoration data for anticipated failures under extreme weather disasters; Based on the basic data of power grid operation and the data of power grid restoration in response to anticipated failures under extreme weather disasters, the diversity of power generation energy, the power conservation rate, the availability of emergency power supply, the power supply capacity and the active power margin of the path are evaluated; The results of the assessment are weighted and summed to obtain a comprehensive assessment result of the resilience of the power grid under extreme weather disasters.

2. The method for evaluating power grid resilience under extreme weather disasters according to claim 1, characterized in that: The assessment of the diversity of energy sources for power generation includes: The power generation energy diversity index G of the power grid during the period t after the power outage t The calculation is: Where M is the number of energy types used for power generation, m is the sequence number of energy types, such as fossil energy, new energy, and nuclear energy are represented by m=1, m=2, and m=3 respectively, P m,t N is the effective power supply generated by the mth type of energy during the period t after the power outage. m represents the number of energy categories in the m-th energy system, It is the proportion of the effective power supply of the qth energy type in the t period after the power outage to the effective power supply of the mth energy type.

3. The method for evaluating power grid resilience under extreme weather disasters according to claim 2, characterized in that: The power conservation rate assessment includes: The power conservation rate PS of the power grid during the period t after the power outage t The calculation is: Among them, N G,t P is the number of power sources that can provide effective power in the power grid during the period t after the power outage. k,t is the effective power supply of the kth power source in the power grid during the period t after the power outage, N BG P is the number of power sources that can provide effective power when the power grid is intact before the power outage. g It is the effective power supplied by the gth power source when the grid performance is intact before the power outage.

4. The method for evaluating power grid resilience under extreme weather disasters according to claim 3, characterized in that: The emergency power supply availability assessment includes: The emergency power availability EPS of the power grid during the period t after the power outage t The calculation is: Among them, N EPS is the number of nodes in the power grid that have emergency power supply access conditions, P EPS,t N is the available power of the emergency power supply that can be connected to the access point during the period t after the power outage. PS is the total number of nodes in the power grid, P LR,t It is the total load demand power to be restored in the power grid during period t after the power outage.

5. The method for evaluating power grid resilience under extreme weather disasters according to claim 4, characterized in that: The power supply capability assessment includes: The power supply capacity index PSC of the power grid during the period t after the power outage t The calculation is: in, is the number of live domains in the power grid during period t after the power outage, are the number of loads to be restored and the number of power sources in the powered domain p during period t after the power outage, P p,l,t is the power demand of the lth load to be restored in the powered domain p during period t after the power outage, P p,g,t is the available power of the gth power supply in the powered domain p during period t after the power outage.

6. The method for evaluating power grid resilience under extreme weather disasters according to claim 5, characterized in that: The path active power margin assessment includes: Active power margin PSP of the power transmission path of the power grid during the period t after the power outage t The calculation is: Among them, N TL,t is the number of intact lines in the power grid during period t after the power outage, is the upper limit of the active power transmitted by the tlth line in the power grid during the period t after the power outage, It is the actual active power transmitted by the tlth line in the power grid during the period t after the power outage.

7. The method for evaluating power grid resilience under extreme weather disasters according to claim 6, characterized in that: The acquisition of the comprehensive assessment results of the power grid resilience under extreme weather disasters includes: The comprehensive evaluation result RE of power grid resilience under extreme weather disasters is obtained by weighted summing the results of power generation energy diversity assessment, power conservation rate assessment, emergency power availability assessment, power supply capacity assessment and path active power margin assessment. t , expressed as: RE t =α1·G t +α2·PS t +α3·EPS t +α4·PSC t +α5·ESP t Among them, α1, α2, α3, α4, and α5 are weight coefficients.

8. A system using the method for evaluating power grid resilience under extreme weather disasters as claimed in any one of claims 1 to 7, characterized in that: include: Data acquisition module, used to obtain basic data on power grid operation and power grid recovery data in response to anticipated failures under extreme weather disasters; A grouping assessment module, for conducting power generation energy diversity assessment, power conservation rate assessment, emergency power availability assessment, power supply capacity assessment, and path active power margin assessment based on the basic power grid operation data and power grid restoration data for anticipated failures under extreme weather disasters; The comprehensive resilience assessment module is used to perform weighted summation on the assessment results to obtain a comprehensive assessment result of the resilience of the power grid under extreme weather disasters.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for assessing the resilience of a power grid under extreme weather disasters described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for assessing the resilience of a power grid under extreme weather disasters as described in any one of claims 1 to 7.

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