Configuration method, configuration device and electronic equipment for disaster-affected power grid

Abstract

The present application provides a configuration method, configuration device and electronic device for a disaster-stricken power grid. The method includes: determining the victim element according to the first working state parameter, determining the victim line according to the second working state parameter, and determining the victim power grid area according to the victim element and the victim line; obtaining the active power threshold and reactive power threshold of the generator in the victim power grid area, establishing a source device model according to the active power threshold and the reactive power threshold, obtaining the active power and reactive power of each node in the victim power grid area, establishing a power grid distribution model according to the active power and reactive power, and establishing a power system model of the victim power grid area according to the source device model and the power grid distribution model; solving the power system model to obtain the resilience parameters of the victim power grid area, and configuring the victim power grid area according to the resilience parameters to improve the ability of the victim power grid area to resist disasters. Through this application, the disaster resistance of the power grid is improved.

Description

Technical Field

[0001] The present application relates to the field of power grid configuration, and in particular, to a method for configuring a disaster-stricken power grid, a configuration device, a computer-readable storage medium, and an electronic device. Background Art

[0002] In recent years, global warming has intensified, and extreme natural disasters such as blizzards, extreme cold, and scorching heat have become frequent, posing a serious threat to the safety of life and property worldwide. Large cities play a dominant role in economic and social development. As the core infrastructure of these cities, the safe operation of power grids is under significant threat from severe natural disasters, facing challenges such as high density of critical loads and insufficient system resilience. Under the influence of extreme natural disasters, the concept of power grid resilience has gradually gained attention. Power grid resilience is generally used to describe a resilient power grid that can comprehensively, rapidly, and accurately perceive the grid's operational status during extreme events, coordinate internal and external resources, proactively anticipate and prepare for various disturbances, implement emergency control and proactive defense, rapidly restore critical power loads and network functions, and self-learn and continuously improve. To rationally improve power grid resilience, it is first necessary to quantify its resilience, and further research is needed in this area.

[0003] In summary, under the influence of extreme natural disasters, accurate resilience quantification is essential to improve the disaster resistance of urban power grids. Summary of the Invention

[0004] The main purpose of this application is to provide a configuration method, configuration device, computer-readable storage medium and electronic device for a disaster-stricken power grid, so as to at least solve the problem of low disaster resistance of the power grid in the prior art.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a configuration method for a disaster-stricken power grid is provided, comprising: obtaining working status parameters of each component in the power grid to obtain a first working status parameter, and obtaining working status parameters of each transmission line in the power grid to obtain a second working status parameter, determining the victim component according to the first working status parameter, determining the victim line according to the second working status parameter, and determining the victim power grid area according to the victim component and the victim line, wherein the victim power grid area represents the power grid area affected by the disaster, and the working status parameter is a parameter characterizing whether the working status is normal; obtaining the active power threshold and reactive power threshold of the generator in the victim power grid area, and establishing a disaster prevention and control system according to the active power threshold and the reactive power threshold. Establish a source-end device model, obtain the active power and reactive power of each node in the affected power grid area, establish a power grid distribution model based on the active power and the reactive power, and establish a power system model of the affected power grid area based on the source-end device model and the power grid distribution model, wherein the generator is included in the affected power grid area, the active power threshold includes an active power upper limit and an active power lower limit, and the reactive power threshold includes a reactive power upper limit and a reactive power lower limit; solve the power system model to obtain the resilience parameters of the affected power grid area, and configure the affected power grid area according to the resilience parameters to improve the ability of the affected power grid area to resist disasters, wherein the resilience parameters are parameters that characterize the ability of the power grid to resist disasters.

[0006] Optionally, the victim element is determined according to the first working state, the victim line is determined according to the second working state, and the victim power grid area is determined according to the victim element and the victim line, including: determining the equation consisting of each element symbol and the first working state parameter as an instantaneous disaster model, and determining the element corresponding to the parameter in the instantaneous disaster model where the first working state parameter represents the abnormal working state as the victim element, wherein the element symbol is a symbol representing each element; determining the equation consisting of each transmission line symbol and the second working state parameter as a continuous disaster model, and determining the transmission line corresponding to the parameter in the continuous disaster model where the second working state parameter represents the abnormal working state as the victim line, wherein the transmission line symbol is a symbol representing each transmission line; and determining the area formed by the victim elements and the victim lines as the victim power grid area.

[0007] Optionally, establishing a source device model according to the active power threshold and the reactive power threshold includes: The source device model is established according to the active power threshold and the reactive power threshold, wherein: represents the active power of the i-th generator in the scheduling period t, represents the active power of the i+1th generator in the scheduling period t, represents the reactive power of the i-th generator in the scheduling period t, P i DG represents the upper limit of the active power generated by the generator, Indicates the lower limit of the active power generated by the generator, represents the upper limit of the reactive power generated by the generator, represents the lower limit of the reactive power generated by the generator, represents the maximum downward ramp rate of the generator, represents the maximum upward climbing rate of the generator, Δt represents the optimization step size, represents the active power of the i-th generator in the scheduling period t+1.

[0008] Optionally, establishing a power distribution model based on the active power and the reactive power includes: A power distribution model is established according to the active power and the reactive power, wherein: j is the branch set of power injection at node j, I j is the branch set of power outflow at node j, P jk is the active power injected by branch k at node j, P ij is the active power flowing out of branch i at node j, Q jk is the reactive power injected by branch k at node j, Q ij is the reactive power flowing out of branch i at node j, and the load at node j is S j =P j +Q j Indicates that S j represents the power at node j, P j represents the active power at node j, Q j represents the reactive power at node j, U i represents the voltage amplitude at node i, U j represents the voltage amplitude at node j, U0 represents the reference voltage, R ij represents the resistance of the transmission line ij, X ij represents the reactance of the transmission line ij.

[0009] Optionally, establishing a power system model of the victim power grid area according to the source device model and the power grid distribution network model includes: The power system model of the victim power grid area is established based on the source device model and the power grid distribution network model, wherein P ij,t is the active power flowing out of branch i at node j within the scheduling period t, Indicates the maximum power allowed to pass through the transmission line, represents the working state of the transmission line ij in the scheduling period t, U j,t represents the voltage of node j in the scheduling period t, represents the lower limit of the voltage at node j, represents the upper voltage limit of node j, l ij,t represents the working state parameter of the transmission line ij within the scheduling period t, U j,t represents the voltage amplitude at the node j in the scheduling period t, U i,t represents the voltage amplitude at node i during the scheduling period t, P ij,t is the active power flowing out of branch i at node j in the scheduling period t, Q ij,t is the reactive power flowing out of branch i at node j in the scheduling period t.

[0010] Optionally, configuring the affected power grid area according to the resilience parameter includes: configuring the affected power grid area according to the resilience parameter by formula Establish the objective function, where C represents the total operating cost, T w represents the optimization time window, Ind represents the cost of purchasing electricity from the upper network, Ind represents the resilience parameter, represents the operating cost of the thermal power generating unit, c resil Represents the toughness target cost coefficient; obtain the constraints of the thermal power generating unit, and according to the formula The power distribution network model is updated, wherein: is the reactive power output by the thermal power generating set i at time t, Q d,t is the electric load level at time t, ψCGU represents the set of thermal power generators; the objective function, the constraint conditions, and the updated power distribution model are jointly solved to obtain power grid configuration parameters, and the affected power grid area is configured according to the power grid configuration parameters, wherein the power grid configuration parameters include at least voltage and power.

[0011] Optionally, solving the power system model to obtain the resilience parameter of the affected power grid area includes: using the formula The power system model is robustly quantified to obtain a robustness quantification result, wherein: is the load shedding value at node k within the scheduling period t, is the load shedding value at node k, p k is the total load value at the node k, is the quantitative result of the robustness under instantaneous disasters, The robustness quantification result under continuous disasters, avg represents the average value; through the formula Active quantization is performed on the power system model to obtain active quantization results, wherein: represents the maximum upward climbing power of the generator, represents the maximum downward climbing power of the generator, represents the upward active quantization result, represents the downward active quantization result, P i DG represents the upper limit of the active power generated by the generator, Indicates the lower limit of the active power generated by the generator, P i DG Represents the active power of the i-th generator; through the formula The rapidity quantification of the power system model is performed to obtain the rapidity quantification result, wherein T avg Ind represents the average fault repair time, T represents the overall scheduling time, Red Express the quantitative result of the rapidity; by formula The redundancy quantification of the power system model is performed to obtain a redundancy quantification result, wherein: Ind represents the maximum power of the generator, Red Representing the redundancy quantization result; obtaining a robustness impact index, a source influence index, a rapidity impact index and a redundancy impact index, calculating the sum of the product of the robustness impact index and the robustness quantization result, the product of the source influence index and the source quantization result, the product of the rapidity impact index and the rapidity quantization result, and the product of the redundancy impact index and the redundancy quantization result to obtain the toughness parameter.

[0012] According to another aspect of the present application, a configuration device for a disaster-stricken power grid is provided, comprising: a determination unit, configured to obtain working status parameters of each component in the power grid to obtain a first working status parameter, and to obtain working status parameters of each transmission line in the power grid to obtain a second working status parameter, determine the victim component according to the first working status parameter, determine the victim line according to the second working status parameter, and determine the victim power grid area according to the victim component and the victim line, wherein the victim power grid area represents the power grid area affected by the disaster, and the working status parameter is a parameter characterizing whether the working status is normal; an establishment unit, configured to obtain the active power threshold and reactive power threshold of the generator in the victim power grid area, and establish the active power threshold and the reactive power threshold according to the active power threshold and the reactive power threshold A source-end device model is used to obtain the active power and reactive power of each node in the affected power grid area, establish a power grid distribution model based on the active power and the reactive power, and establish a power system model of the affected power grid area based on the source-end device model and the power grid distribution model, wherein the generator is included in the affected power grid area, the active power threshold includes an active power upper limit and an active power lower limit, and the reactive power threshold includes a reactive power upper limit and a reactive power lower limit; a configuration unit is used to solve the power system model, obtain the resilience parameter of the affected power grid area, and configure the affected power grid area according to the resilience parameter to improve the ability of the affected power grid area to resist disasters, wherein the resilience parameter is a parameter that characterizes the ability of the power grid to resist disasters.

[0013] According to another aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the configuration methods.

[0014] According to another aspect of the present application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the configuration methods.

[0015] By applying the technical solution of the present application, the victim components and victim lines are determined according to the working state parameters of each component and the working state parameters of each transmission line, and the victim power grid area is further determined. A source device model is established according to the active power threshold and the reactive power threshold, a power grid distribution model is established according to the active power and reactive power, and a power system model of the victim power grid area is established according to the source device model and the power grid distribution model. The power system model is solved to obtain the resilience parameters of the victim power grid area, and the victim power grid area is configured according to the resilience parameters to improve the disaster resistance of the victim power grid area. Compared with the prior art, in which the configuration method of the power grid has the problem of low disaster resistance, the present application can calculate the resilience parameters according to the above model, and configure the distribution network according to the resilience parameters to improve the disaster resistance of the distribution network. Therefore, it can alleviate the problem of low disaster resistance of the distribution network in the prior art and improve the disaster resistance of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings that constitute part of this application are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation on this application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for executing a method for configuring a disaster-stricken power grid provided in an embodiment of the present application is shown;

[0018] Figure 2 A schematic diagram showing a flow chart of a method for configuring a disaster-affected power grid provided in an embodiment of the present application is shown;

[0019] Figure 3 A schematic diagram showing a flow chart of a specific method for configuring a disaster-affected power grid provided in an embodiment of the present application is shown;

[0020] Figure 4 A structural block diagram of a configuration device for a disaster-stricken power grid provided in an embodiment of the present application is shown.

[0021] The above drawings include the following reference numerals:

[0022] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. DETAILED DESCRIPTION

[0023] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0024] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] As introduced in the background technology, the disaster resistance of the power grid in the existing technology is low. In order to solve the problem of low disaster resistance of the power grid, the embodiments of the present application provide a configuration method, configuration device, computer-readable storage medium and electronic device for a disaster-stricken power grid.

[0027] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0028] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 FIG. 1 is a hardware structure block diagram of a mobile terminal for configuring a disaster-affected power grid according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0029] Memory 104 can be used to store computer programs, such as application software programs and modules, such as the computer program corresponding to the method for configuring a disaster-affected power grid in the embodiments of the present invention. Processor 102 executes the computer programs stored in memory 104 to execute various functional applications and data processing, thereby implementing the aforementioned method. Memory 104 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 104 may further include memory remote from processor 102, which can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. Transmission device 106 is used to receive or transmit data via a network. Specific examples of such networks may include wireless networks provided by the mobile terminal's telecommunications provider. In one example, transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0030] In this embodiment, a method for configuring a disaster-stricken power grid running on a mobile terminal, a computer terminal, or a similar computing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0031] Figure 2 FIG. 1 is a flow chart of a method for configuring a disaster-affected power grid according to an embodiment of the present application. Figure 2 As shown, the method includes the following steps:

[0032] Step S201: Obtaining operating state parameters of each component in the power grid to obtain a first operating state parameter, and obtaining operating state parameters of each transmission line in the power grid to obtain a second operating state parameter. A victim component is determined based on the first operating state parameter, a victim line is determined based on the second operating state parameter, and a victim power grid area is determined based on the victim components and the victim lines. The victim power grid area represents the power grid area affected by the disaster, and the operating state parameters are parameters indicating whether the operating state is normal.

[0033] Specifically, to improve the ability of urban power grids to resist disasters, the resilience parameters of the urban power grid are first determined. This means that the urban power grid is first evaluated. Therefore, the operating status parameters of each component in the grid, such as generators and transmission lines, are obtained. A value of 1 indicates normal operation, and 0 indicates a failure. The impact of both transient and persistent disasters on the power system is considered, and transient and persistent models are established. The transient model is composed of the operating status parameters of each component in the grid and can be expressed as: in, represents the working state of the kth component in the normal area, represents the working status of the kth component in the disaster-affected area, and n represents the total number of components in the affected area. This component can be the transmission line, distributed generator, static VAR compensator, etc. Indicates the number of internal damaged components, which is usually used to describe the different levels of disaster impact. The continuity model consists of the operating status parameters of each transmission line in the power grid: in, Indicates the working status of the transmission line ij in the area within the scheduling period t, 1 indicates normal operation, 0 indicates damage and disconnection, n line Indicates the total number of lines in the affected area, Indicates the number of internal damaged lines.

[0034] Step S202: Obtain active power thresholds and reactive power thresholds of the generators in the victimized power grid area, establish a source-end device model based on the active power thresholds and reactive power thresholds, obtain active power and reactive power of each node in the victimized power grid area, establish a power distribution model based on the active power and reactive power, and establish a power system model of the victimized power grid area based on the source-end device model and the power distribution model, wherein the generators are included in the victimized power grid area, the active power thresholds include an upper active power limit and a lower active power limit, and the reactive power thresholds include an upper reactive power limit and a lower reactive power limit;

[0035] Specifically, a power system model under the influence of disasters is further established to represent the operating status of the power system under the influence of disasters, including a source-end device model and a power grid distribution network model. The specific model will be explained in detail below.

[0036] Step S203, solve the above-mentioned power system model to obtain the resilience parameters of the above-mentioned affected power grid area, and configure the above-mentioned affected power grid area according to the above-mentioned resilience parameters to improve the ability of the above-mentioned affected power grid area to resist disasters, wherein the above-mentioned resilience parameters are parameters that characterize the ability of the power grid to resist disasters.

[0037] Specifically, the resilience of the power system under the influence of disasters is quantified from multiple perspectives such as robustness, activeness, rapidity, and redundancy to obtain resilience parameters, and then the affected power grid is further configured based on the resilience parameters.

[0038] Through this embodiment, the victim components and victim lines are determined according to the working state parameters of each component and the working state parameters of each transmission line, and the victim power grid area is further determined. The source device model is established according to the active power threshold and the reactive power threshold, and the power grid distribution model is established according to the active power and reactive power. The power system model of the victim power grid area is established according to the source device model and the power grid distribution model. The power system model is solved to obtain the resilience parameters of the victim power grid area, and the victim power grid area is configured according to the resilience parameters to improve the ability of the victim power grid area to resist disasters. Compared with the problem of low disaster resistance in the configuration method of the power grid in the prior art, the present application can calculate the resilience parameters according to the above model, and configure the distribution network according to the resilience parameters to improve the disaster resistance of the distribution network. Therefore, it can alleviate the problem of low disaster resistance of the distribution network in the prior art and improve the disaster resistance of the distribution network.

[0039] In a specific implementation process, the above-mentioned step S201 determines the victim element according to the above-mentioned first working state, determines the victim line according to the above-mentioned second working state, and determines the victim power grid area according to the above-mentioned victim element and the above-mentioned victim line, which can be achieved by the following steps: determining the equation composed of each element symbol and the above-mentioned first working state parameter as an instantaneous disaster model, and determining the above-mentioned element corresponding to the parameter represented by the above-mentioned first working state parameter in the above-mentioned instantaneous disaster model as the above-mentioned victim element, wherein the above-mentioned element symbol is a symbol representing each of the above-mentioned elements; determining the equation composed of each of the above-mentioned transmission line symbols and the above-mentioned second working state parameter as a continuous disaster model, and determining the above-mentioned transmission line corresponding to the parameter represented by the above-mentioned second working state parameter in the above-mentioned continuous disaster model as the above-mentioned victim line, wherein the above-mentioned transmission line symbol is a symbol representing each of the above-mentioned transmission lines; and determining the area composed of the above-mentioned victim elements and the above-mentioned victim lines as the above-mentioned victim power grid area. This method determines the damaged components and transmission lines by establishing a model, so that the damaged area can be determined, and the damaged area can be further modeled to analyze the disaster resistance of the area.

[0040] Specifically, the instantaneous disaster model can be expressed as: in, represents the working state of the kth component in the normal area, represents the working status of the kth component in the disaster-affected area, and n represents the total number of components in the affected area. This component can be the transmission line, distributed generator, static VAR compensator, etc. Indicates the number of internal damaged components, which is usually used to describe the different levels of disaster impact. The continuous disaster model can be expressed as: in, Indicates the working status of the transmission line ij in the area within the scheduling period t, 1 indicates normal operation, 0 indicates damage and disconnection, n line Indicates the total number of lines in the affected area, Indicates the number of internal damaged lines.

[0041] In order to accurately establish the source device model, in some optional implementations, the establishment of the source device model according to the active power threshold and the reactive power threshold in step S202 can be achieved by the following steps: The source device model is established based on the active power threshold and the reactive power threshold, wherein: represents the active power of the i-th generator in the scheduling period t, represents the active power of the i+1th generator in the scheduling period t, represents the reactive power of the i-th generator in the above scheduling period t, P i DG Indicates the upper limit of the active power generated by the above generator, Indicates the lower limit of the above active power generated by the above generator, Indicates the upper limit of the reactive power generated by the above generator, Indicates the lower limit of the reactive power generated by the generator. represents the maximum downward ramp rate of the above generator, represents the maximum upward climbing rate of the above generator, Δt represents the optimization step size, Represents the active power of the i-th generator in the scheduling period t+1. This method limits the active power and reactive power by using the active power threshold and the reactive power threshold to establish the above-mentioned source device model, so that the source device model can be accurately established.

[0042] In a specific implementation process, the source device is a power supply device, such as a distributed generator, etc. The model formed by limiting the power of the above-mentioned remote device through the active power threshold and the reactive power threshold is the source device model, as shown in the above formula.

[0043] In some optional implementations, the power distribution model is established according to the active power and the reactive power in step S202, which can be achieved by the following steps: A power distribution model is established based on the above active power and reactive power, wherein: j is the branch set of power injection at node j, I j is the branch set of power outflow at node j, P jk is the active power injected by branch k at node j, P ij is the active power flowing out of branch i at node j, Q jk is the reactive power injected by branch k at node j, Q ij is the reactive power flowing out of branch i at node j, and the load at node j is S j =P j +Q j Indicates that S j represents the power at node j, P j represents the above active power at node j, Q j represents the reactive power at node j, U i represents the voltage amplitude at node i, U j represents the voltage amplitude at node j, U0 represents the reference voltage, R ij represents the resistance of the above transmission line ij, X ij The method establishes a power distribution network model by using active power and reactive power, so that the power distribution network model can be accurately established.

[0044] Specifically, after establishing a model to characterize the source-end equipment, it is also necessary to establish a model including each transmission line, that is, the above-mentioned power grid distribution model. By equating the power grid to branches and nodes, the above-mentioned power grid distribution model can be constructed based on active power and reactive power. That is, the model mainly reflects the relationship between the active power and reactive power of each branch and node in the power grid. The expression of the model is shown above.

[0045] In order to accurately establish the power system model, the above step S202 of the present application establishes the power system model of the above victim power grid area according to the above source device model and the above power grid distribution network model, which can be achieved by the following steps: The power system model of the above-mentioned victim power grid area is established based on the above-mentioned source device model and the above-mentioned power grid distribution network model, wherein P ij,t is the above active power flowing out of branch i at node j within the scheduling period t, Indicates the maximum power allowed to pass through the above transmission line, represents the working state of the transmission line ij within the scheduling period t, U j,t represents the voltage of node j in the above scheduling period t, represents the lower limit of the voltage at node j, represents the upper voltage limit of node j, l ij,t represents the working state parameter of the transmission line ij within the scheduling period t, U j,t represents the voltage amplitude at the node j in the scheduling period t, U i,t represents the voltage amplitude at node i in the above scheduling period t, P ij,t is the active power flowing out of branch i at node j in the above scheduling period t, Q ij,t is the reactive power flowing out of branch i at node j during the scheduling period t. This method further establishes a power system model based on the source device model and the power grid distribution network model, so that the solution can be obtained through the power system model.

[0046] Specifically, after establishing the above power system model, the second formula is a bilinear equation, which needs to be processed before it can be solved using the solver. The processing method is: U j,t -U i,t ≤(1-l ij,t )·M-(R j P ij,t +X ij Q ij,t ) / U0,U j,t -U i,t ≥(l ij,t -1)·M-(R j P ij,t +X ij Q ij,t ), where M represents a large number, which can be 1000.

[0047] In some optional real-time methods, the above step S203 configures the above victim grid area according to the above resilience parameters, which can be achieved by the following steps: According to the above resilience parameters, the formula Establish the objective function, where C represents the total operating cost, T w represents the optimization time window, Ind represents the cost of purchasing electricity from the upper network, Ind represents the above resilience parameter, represents the operating cost of the thermal power generating unit, c resil Represents the resilience target cost coefficient; obtain the constraints of the above thermal power generating units, and according to the formula Update the above power distribution network model, where: is the reactive power output by the thermal power generating unit i at time t, Q d,tThe objective function, constraints, and updated power distribution model are jointly solved to obtain grid configuration parameters, which are then used to configure the affected grid area. These grid configuration parameters include at least voltage and power. This method uses the obtained resilience parameters to further calculate a grid configuration plan, which can be used to configure the affected grid area to improve its disaster resistance.

[0048] In the specific implementation process, the operating cost of the thermal power generating unit can be expressed as The cost of purchasing electricity from the upstream network can be expressed as a, b and c are the quadratic term coefficient, linear term coefficient and constant term of the cost function respectively. Represents the active power of diesel generator set I at time t, P t EX,e The purchased power of a large city power grid at time t is: Represents the electricity purchase price at time t. The constraints of the thermal power generation unit are expressed as in, is the active power output of thermal power unit i at time t, is the reactive power output by thermal power unit i at time t, and They represent the upper and lower limits of the active output of thermal power unit i, and They represent the upper and lower limits of reactive power output of thermal power unit i, r l CGU and Respectively represent the upward / downward climbing capability of thermal power units.

[0049] In order to accurately determine the resilience parameter, the above step S203 solves the above power system model to obtain the resilience parameter of the above victimized power grid area, which can be achieved by the following steps: The robustness quantification of the above power system model is carried out to obtain the robustness quantification results, where: is the load shedding value at node k within the scheduling period t, is the load shedding value at node k, p k is the total load value at the above node k, is the quantitative result of the above robustness under instantaneous disasters, The above robustness quantitative results under continuous disasters, avg represents the average value; through the formula Active quantization is performed on the above power system model to obtain active quantization results, where: Indicates the maximum upward climbing power of the above generator, represents the maximum downward climbing power of the above generator, represents the upward active quantization result, represents the downward active quantization result, P i DG Indicates the upper limit of the active power generated by the above generator, Indicates the lower limit of the active power generated by the generator, P i DG Represents the active power of the i-th generator mentioned above; through the formula The rapidity quantification of the above power system model is carried out to obtain the rapidity quantification results, where T avg Ind represents the average fault repair time, T represents the overall scheduling time, Red Express the above rapid quantitative results; through the formula The redundancy quantification of the above power system model is carried out to obtain the redundancy quantification result, where: Ind represents the maximum power of the above generator. Red Representing the redundancy quantification result; obtaining a robustness impact index, a source influence index, a rapidity impact index, and a redundancy impact index; calculating the sum of the product of the robustness impact index and the robustness quantification result, the product of the source influence index and the source quantification result, the product of the rapidity impact index and the rapidity quantification result, and the product of the redundancy impact index and the redundancy quantification result to obtain the resilience parameter. This method obtains the resilience parameter by solving the above steps to determine the power grid's ability to resist disasters.

[0050] In the specific implementation process, after the above four quantitative results are calculated according to the above formula, the sum of the calculated scores can be expressed as Ind = a·Ind Rob +b·Ind Res +c·Ind Rap +d·Ind Red , where a, b, c, and d are the influence coefficients of the robustness index, activeness index, rapidity index, and redundancy index, respectively. If a and c are less than 0, and b and d are greater than 0, the resilience index of the system is obtained. The larger the quantitative result, the greater the system resilience.

[0051] In order to enable those skilled in the art to more clearly understand the technical solution of the present application, the implementation process of the method for configuring a disaster-stricken power grid of the present application will be described in detail below with reference to specific embodiments.

[0052] This embodiment relates to a specific configuration method of a disaster-affected power grid, such as Figure 3 As shown, the following steps are included:

[0053] Step S1: Establishing multiple disaster impact models. Disasters are divided into persistent disasters and instantaneous disasters according to the duration of their impact. Instantaneous disaster and persistent disaster impact models are established from the perspectives of the impact range and the affected objects.

[0054] Step S2: Establish a power system model under the influence of extreme natural disasters. First, establish a power system flow model. Then, further consider the impact of damaged components under the influence of the disaster on the power system flow, and obtain a power system flow calculation model under the influence of the fault.

[0055] Step S3: Quantify the resilience of the power system under disasters from the perspectives of robustness, activeness, rapidity, and redundancy, and calculate multidimensional quantitative indicators based on the operational characteristics of large urban power grids under disasters;

[0056] Step S4: Based on the multi-dimensional resilience assessment results obtained in step S3, a comprehensive resilience assessment system for large-scale urban power grids is established, and using this as the optimization target, a resilience operation strategy for large-scale urban power grids is obtained.

[0057] The embodiment of the present application also provides a configuration device for a disaster-stricken power grid. It should be noted that the configuration device for a disaster-stricken power grid in the embodiment of the present application can be used to execute the configuration method for a disaster-stricken power grid provided in the embodiment of the present application. The device is used to implement the above-mentioned embodiments and preferred implementation methods, and the details that have been explained will not be repeated here. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and conceivable.

[0058] The following introduces the configuration device for the disaster-stricken power grid provided in the embodiment of the present application.

[0059] Figure 4 FIG is a schematic diagram of a configuration device for a disaster-stricken power grid according to an embodiment of the present application. Figure 4 As shown, the device includes:

[0060] A determination unit 10 is configured to obtain operating state parameters of each component in the power grid to obtain a first operating state parameter, and obtain operating state parameters of each transmission line in the power grid to obtain a second operating state parameter, determine a victim component based on the first operating state parameter, determine a victim line based on the second operating state parameter, and determine a victim power grid area based on the victim components and the victim lines, wherein the victim power grid area represents a power grid area affected by the disaster, and the operating state parameters are parameters indicating whether the operating state is normal;

[0061] Specifically, to improve the ability of urban power grids to resist disasters, the resilience parameters of the urban power grid are first determined. This means that the urban power grid is first evaluated. Therefore, the operating status parameters of each component in the grid, such as generators and transmission lines, are obtained. A value of 1 indicates normal operation, and 0 indicates a failure. The impact of both transient and persistent disasters on the power system is considered, and transient and persistent models are established. The transient model is composed of the operating status parameters of each component in the grid and can be expressed as: in, represents the working state of the kth component in the normal area, represents the working status of the kth component in the disaster-affected area, and n represents the total number of components in the affected area. This component can be the transmission line, distributed generator, static VAR compensator, etc. Indicates the number of internal damaged components, which is usually used to describe the different levels of disaster impact. The continuity model consists of the operating status parameters of each transmission line in the power grid: in, Indicates the working status of the transmission line ij in the area within the scheduling period t, 1 indicates normal operation, 0 indicates damage and disconnection, n line Indicates the total number of lines in the affected area, Indicates the number of internal damaged lines.

[0062] Establishing unit 20, configured to obtain active power thresholds and reactive power thresholds of the generators in the victimized power grid area, establish a source-end device model based on the active power thresholds and the reactive power thresholds, obtain active power and reactive power of each node in the victimized power grid area, establish a power distribution model based on the active power and the reactive power, and establish a power system model of the victimized power grid area based on the source-end device model and the power distribution model, wherein the generators are included in the victimized power grid area, the active power thresholds include an upper active power limit and a lower active power limit, and the reactive power thresholds include an upper reactive power limit and a lower reactive power limit;

[0063] Specifically, a power system model under the influence of disasters is further established to represent the operating status of the power system under the influence of disasters, including a source-end device model and a power grid distribution network model. The specific model will be explained in detail below.

[0064] The configuration unit 30 is used to solve the above-mentioned power system model, obtain the resilience parameters of the above-mentioned affected power grid area, and configure the above-mentioned affected power grid area according to the above-mentioned resilience parameters to improve the ability of the above-mentioned affected power grid area to resist disasters, wherein the above-mentioned resilience parameters are parameters that characterize the ability of the power grid to resist disasters.

[0065] Specifically, the resilience of the power system under the influence of disasters is quantified from multiple perspectives such as robustness, activeness, rapidity, and redundancy to obtain resilience parameters, and then the affected power grid is further configured based on the resilience parameters.

[0066] Through this embodiment, the victim components and victim lines are determined based on the working state parameters of each component and the working state parameters of each transmission line, and the victim power grid area is further determined. The source device model is established based on the active power threshold and the reactive power threshold, and the power grid distribution model is established based on the active power and reactive power. The power system model of the victim power grid area is established based on the source device model and the power grid distribution model. The power system model is solved to obtain the resilience parameters of the victim power grid area, and the victim power grid area is configured according to the resilience parameters to improve the ability of the victim power grid area to resist disasters. Compared with the prior art, in which the configuration device of the power grid has the problem of low disaster resistance, the present application can calculate the resilience parameters according to the above model, and configure the distribution network according to the resilience parameters to improve the disaster resistance of the distribution network. Therefore, it can alleviate the problem of low disaster resistance of the distribution network in the prior art and improve the disaster resistance of the distribution network.

[0067] In a specific implementation, the determination unit includes a first determination module, a second determination module, and a third determination module. The first determination module is configured to determine an equation consisting of each component symbol and the first working state parameter as a transient disaster model, and to determine the component corresponding to the parameter in the transient disaster model where the first working state parameter represents an abnormal working state as the victim component, wherein the component symbol is a symbol representing each component. The second determination module is configured to determine an equation consisting of each transmission line symbol and the second working state parameter as a persistent disaster model, and to determine the transmission line corresponding to the parameter in the persistent disaster model where the second working state parameter represents an abnormal working state as the victim line, wherein the transmission line symbol is a symbol representing each transmission line. The third determination module is configured to determine the area formed by the victim components and the victim lines as the victim power grid area. The device determines the victim components and transmission lines by establishing a model, thereby determining the victim area, thereby further modeling the victim area and analyzing the disaster resistance of the area.

[0068] Specifically, the instantaneous disaster model can be expressed as: in, represents the working state of the kth component in the normal area, represents the working status of the kth component in the disaster-affected area, and n represents the total number of components in the affected area. This component can be the transmission line, distributed generator, static VAR compensator, etc. Indicates the number of internal damaged components, which is usually used to describe the different levels of disaster impact. The continuous disaster model can be expressed as: in, Indicates the working status of the transmission line ij in the area within the scheduling period t, 1 indicates normal operation, 0 indicates damage and disconnection, n line Indicates the total number of lines in the affected area, Indicates the number of internal damaged lines.

[0069] In order to accurately establish the source device model, in some optional implementations, the establishment unit includes a first establishment module for using the formula The source device model is established based on the active power threshold and the reactive power threshold, wherein: represents the active power of the i-th generator in the scheduling period t, represents the active power of the i+1th generator in the scheduling period t, represents the reactive power of the i-th generator in the above scheduling period t, P i DG Indicates the upper limit of the active power generated by the above generator, Indicates the lower limit of the above active power generated by the above generator, Indicates the upper limit of the reactive power generated by the above generator, Indicates the lower limit of the reactive power generated by the generator. represents the maximum downward ramp rate of the above generator, represents the maximum upward climbing rate of the above generator, Δt represents the optimization step size, Represents the active power of the i-th generator in the scheduling period t+1. The device limits the active power and reactive power through the active power threshold and the reactive power threshold to establish the above-mentioned source device model, so that the source device model can be accurately established.

[0070] In a specific implementation process, the source device is a power supply device, such as a distributed generator, etc. The model formed by limiting the power of the above-mentioned remote device through the active power threshold and the reactive power threshold is the source device model, as shown in the above formula.

[0071] In some optional embodiments, the above-mentioned establishment unit further includes a second establishment module for establishing A power distribution model is established based on the above active power and reactive power, wherein: j is the branch set of power injection at node j, I j is the branch set of power outflow at node j, P jkis the active power injected by branch k at node j, P ij is the active power flowing out of branch i at node j, Q jk is the reactive power injected by branch k at node j, Q ij is the reactive power flowing out of branch i at node j, and the load at node j is S j =P j +Q j Indicates that S j represents the power at node j, P j represents the above active power at node j, Q j represents the reactive power at node j, U i represents the voltage amplitude at node i, U j represents the voltage amplitude at node j, U0 represents the reference voltage, R ij represents the resistance of the above transmission line ij, X ij The device establishes a power distribution network model through active power and reactive power, so that the power distribution network model can be accurately established.

[0072] Specifically, after establishing a model to characterize the source-end equipment, it is also necessary to establish a model including each transmission line, that is, the above-mentioned power grid distribution model. By equating the power grid to branches and nodes, the above-mentioned power grid distribution model can be constructed based on active power and reactive power. That is, the model mainly reflects the relationship between the active power and reactive power of each branch and node in the power grid. The expression of the model is shown above.

[0073] In order to accurately establish the power system model, the above-mentioned establishment unit of the present application also includes a third establishment module for using the formula The power system model of the above-mentioned victim power grid area is established based on the above-mentioned source device model and the above-mentioned power grid distribution network model, wherein P ij,t is the above active power flowing out of branch i at node j within the scheduling period t, Indicates the maximum power allowed to pass through the above transmission line, represents the working state of the transmission line ij within the scheduling period t, U j,t represents the voltage of node j in the above scheduling period t, represents the lower limit of the voltage at node j, represents the upper voltage limit of node j, l ij,t represents the working state parameter of the transmission line ij within the scheduling period t, U j,t represents the voltage amplitude at the node j in the scheduling period t, U i,t represents the voltage amplitude at node i in the above scheduling period t, Pij,t is the active power flowing out of branch i at node j in the above scheduling period t, Q ij,t is the reactive power flowing out of branch i at node j during the scheduling period t. The device further establishes a power system model based on the source device model and the power grid distribution network model, so that the solution can be obtained through the power system model.

[0074] Specifically, after establishing the above power system model, the second formula is a bilinear equation, which needs to be processed before it can be solved using the solver. The processing device is: U j,t -U i,t ≤(1-l ij,t )·M-(R j P ij,t +X ij Q ij,t ) / U0,U j,t -U i,t ≥(l ij,t -1)·M-(R j P ij,t +X ij Q ij,t ), where M represents a large number, which can be 1000.

[0075] In some optional real-time methods, the configuration unit includes a fourth establishment module, an update module and a configuration module, and the fourth establishment module is used to calculate the toughness parameter according to the formula Establish the objective function, where C represents the total operating cost, T w represents the optimization time window, Ind represents the cost of purchasing electricity from the upper network, Ind represents the above resilience parameter, represents the operating cost of the thermal power generating unit, c resil Represents the resilience target cost coefficient; the update module is used to obtain the constraints of the above thermal power generation unit and according to the formula Update the above power distribution network model, where: is the reactive power output by the thermal power generating unit i at time t, Q d,t The configuration module is used to jointly solve the objective function, the constraints, and the updated power distribution model to obtain grid configuration parameters, and configure the affected power grid area based on these grid configuration parameters, where the grid configuration parameters include at least voltage and power. The device further calculates a grid configuration plan based on the obtained resilience parameters, thereby configuring the affected power grid area to improve its disaster resistance.

[0076] In the specific implementation process, the operating cost of the thermal power generating unit can be expressed as The cost of purchasing electricity from the upstream network can be expressed as a, b and c are the quadratic term coefficient, linear term coefficient and constant term of the cost function respectively. Represents the active power of diesel generator set I at time t, P t EX,e The purchased power of a large city power grid at time t is: Represents the electricity purchase price at time t. The constraints of the thermal power generation unit are expressed as in, is the active power output of thermal power unit i at time t, is the reactive power output by thermal power unit i at time t, and They represent the upper and lower limits of the active output of thermal power unit i, and They represent the upper and lower limits of reactive power output of thermal power unit i, r l CGU and Respectively represent the upward / downward climbing capability of thermal power units.

[0077] In order to accurately determine the toughness parameter, the configuration unit further includes a first quantization module, a second quantization module, a third quantization module, a fourth quantization module and a calculation module. The first quantization module is used to calculate the toughness parameter by the formula The robustness quantification of the above power system model is carried out to obtain the robustness quantification results, where: is the load shedding value at node k within the scheduling period t, is the load shedding value at node k, pk is the total load value at the above node k, is the quantitative result of the above robustness under instantaneous disasters, The above robustness quantification results under continuous disasters, avg represents the average value; the second quantification module is used to calculate the robustness of the above under continuous disasters through the formula Active quantization is performed on the above power system model to obtain active quantization results, where: Indicates the maximum upward climbing power of the above generator, represents the maximum downward climbing power of the above generator, represents the upward active quantization result, represents the downward active quantization result, P i DG Indicates the upper limit of the active power generated by the above generator, Indicates the lower limit of the active power generated by the generator, P i DGRepresents the active power of the i-th generator; the third quantization module is used to calculate the active power of the i-th generator through the formula The rapidity quantification of the above power system model is carried out to obtain the rapidity quantification results, where T avg Ind represents the average fault repair time, T represents the overall scheduling time, Red Represents the above rapidity quantification result; the fourth quantification module is used to pass the formula The redundancy quantification of the above power system model is carried out to obtain the redundancy quantification result, where: Ind represents the maximum power of the above generator. Red The calculation module is used to obtain the robustness impact index, activeness impact index, rapidity impact index, and redundancy impact index, and calculate the sum of the product of the robustness impact index and the robustness quantification result, the product of the activeness impact index and the activeness quantification result, the product of the rapidity impact index and the rapidity quantification result, and the product of the redundancy impact index and the redundancy quantification result to obtain the resilience parameter. The device obtains the resilience parameter through the above steps to determine the power grid's ability to resist disasters.

[0078] In the specific implementation process, after the above four quantitative results are calculated according to the above formula, the sum of the calculated scores can be expressed as Ind = a·Ind Rob +b·Ind Res +c·Ind Rap +d·Ind Red , where a, b, c, and d are the influence coefficients of the robustness index, activeness index, rapidity index, and redundancy index, respectively. If a and c are less than 0, and b and d are greater than 0, the resilience index of the system is obtained. The larger the quantitative result, the greater the system resilience.

[0079] The above-mentioned configuration device for a disaster-affected power grid includes a processor and memory. The above-mentioned determination unit, establishment unit, and configuration unit are all stored as program units in the memory. The processor executes the program units stored in the memory to implement the corresponding functions. The above-mentioned modules are all located in the same processor; alternatively, the above-mentioned modules can be located in different processors in any combination.

[0080] The processor contains a kernel, which retrieves the corresponding program unit from the memory. There can be one or more kernels, and the power grid can be configured by adjusting the kernel parameters to improve the grid's disaster resistance.

[0081] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0082] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program. When the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for configuring the disaster-affected power grid.

[0083] Specifically, the configuration method of the disaster-affected power grid includes:

[0084] Step S201: Obtaining operating state parameters of each component in the power grid to obtain a first operating state parameter, and obtaining operating state parameters of each transmission line in the power grid to obtain a second operating state parameter. A victim component is determined based on the first operating state parameter, a victim line is determined based on the second operating state parameter, and a victim power grid area is determined based on the victim components and the victim lines. The victim power grid area represents the power grid area affected by the disaster, and the operating state parameters are parameters indicating whether the operating state is normal.

[0085] Specifically, to improve the ability of urban power grids to resist disasters, the resilience parameters of the urban power grid are first determined. This means that the urban power grid is first evaluated. Therefore, the operating status parameters of each component in the grid, such as generators and transmission lines, are obtained. A value of 1 indicates normal operation, and 0 indicates a failure. The impact of both transient and persistent disasters on the power system is considered, and transient and persistent models are established. The transient model is composed of the operating status parameters of each component in the grid and can be expressed as: in, represents the working state of the kth component in the normal area, represents the working status of the kth component in the disaster-affected area, and n represents the total number of components in the affected area. This component can be the transmission line, distributed generator, static VAR compensator, etc. Indicates the number of internal damaged components, which is usually used to describe the different levels of disaster impact. The continuity model consists of the operating status parameters of each transmission line in the power grid: in, Indicates the working status of the transmission line ij in the area within the scheduling period t, 1 indicates normal operation, 0 indicates damage and disconnection, n line Indicates the total number of lines in the affected area, Indicates the number of internal damaged lines.

[0086] Step S202: Obtain active power thresholds and reactive power thresholds of the generators in the victimized power grid area, establish a source-end device model based on the active power thresholds and reactive power thresholds, obtain active power and reactive power of each node in the victimized power grid area, establish a power distribution model based on the active power and reactive power, and establish a power system model of the victimized power grid area based on the source-end device model and the power distribution model, wherein the generators are included in the victimized power grid area, the active power thresholds include an upper active power limit and a lower active power limit, and the reactive power thresholds include an upper reactive power limit and a lower reactive power limit;

[0087] Specifically, a power system model under the influence of disasters is further established to represent the operating status of the power system under the influence of disasters, including a source-end device model and a power grid distribution network model. The specific model will be explained in detail below.

[0088] Step S203, solve the above-mentioned power system model to obtain the resilience parameters of the above-mentioned affected power grid area, and configure the above-mentioned affected power grid area according to the above-mentioned resilience parameters to improve the ability of the above-mentioned affected power grid area to resist disasters, wherein the above-mentioned resilience parameters are parameters that characterize the ability of the power grid to resist disasters.

[0089] Specifically, the resilience of the power system under the influence of disasters is quantified from multiple perspectives such as robustness, activeness, rapidity, and redundancy to obtain resilience parameters, and then the affected power grid is further configured based on the resilience parameters.

[0090] An embodiment of the present invention provides a device, comprising a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are performed:

[0091] Step S201: Obtaining operating state parameters of each component in the power grid to obtain a first operating state parameter, and obtaining operating state parameters of each transmission line in the power grid to obtain a second operating state parameter. A victim component is determined based on the first operating state parameter, a victim line is determined based on the second operating state parameter, and a victim power grid area is determined based on the victim components and the victim lines. The victim power grid area represents the power grid area affected by the disaster, and the operating state parameters are parameters indicating whether the operating state is normal.

[0092] Step S202: Obtain active power thresholds and reactive power thresholds of the generators in the victimized power grid area, establish a source-end device model based on the active power thresholds and reactive power thresholds, obtain active power and reactive power of each node in the victimized power grid area, establish a power distribution model based on the active power and reactive power, and establish a power system model of the victimized power grid area based on the source-end device model and the power distribution model, wherein the generators are included in the victimized power grid area, the active power thresholds include an upper active power limit and a lower active power limit, and the reactive power thresholds include an upper reactive power limit and a lower reactive power limit;

[0093] Step S203, solve the above-mentioned power system model to obtain the resilience parameters of the above-mentioned affected power grid area, and configure the above-mentioned affected power grid area according to the above-mentioned resilience parameters to improve the ability of the above-mentioned affected power grid area to resist disasters, wherein the above-mentioned resilience parameters are parameters that characterize the ability of the power grid to resist disasters.

[0094] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0095] The present application also provides a computer program product, which, when executed on a data processing device, is adapted to execute a program for initializing at least the following method steps:

[0096] Step S201: Obtaining operating state parameters of each component in the power grid to obtain a first operating state parameter, and obtaining operating state parameters of each transmission line in the power grid to obtain a second operating state parameter. A victim component is determined based on the first operating state parameter, a victim line is determined based on the second operating state parameter, and a victim power grid area is determined based on the victim components and the victim lines. The victim power grid area represents the power grid area affected by the disaster, and the operating state parameters are parameters indicating whether the operating state is normal.

[0097] Step S202: Obtain active power thresholds and reactive power thresholds of the generators in the victimized power grid area, establish a source-end device model based on the active power thresholds and reactive power thresholds, obtain active power and reactive power of each node in the victimized power grid area, establish a power distribution model based on the active power and reactive power, and establish a power system model of the victimized power grid area based on the source-end device model and the power distribution model, wherein the generators are included in the victimized power grid area, the active power thresholds include an upper active power limit and a lower active power limit, and the reactive power thresholds include an upper reactive power limit and a lower reactive power limit;

[0098] Step S203, solve the above-mentioned power system model to obtain the resilience parameters of the above-mentioned affected power grid area, and configure the above-mentioned affected power grid area according to the above-mentioned resilience parameters to improve the ability of the above-mentioned affected power grid area to resist disasters, wherein the above-mentioned resilience parameters are parameters that characterize the ability of the power grid to resist disasters.

[0099] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, can be centralized on a single computing device, or can be distributed across a network of multiple computing devices. They can be implemented using program code executable by the computing device, and thus, can be stored in a storage device and executed by the computing device. In some cases, the steps shown or described herein can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0100] 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 a complete hardware embodiment, a complete software embodiment, or an embodiment 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 magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0101] 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 produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. 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.

[0102] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0104] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0105] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0106] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0107] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0108] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0109] 1) In the configuration method of the disaster-stricken power grid of the present application, the damaged components and damaged lines are determined according to the working status parameters of each component and the working status parameters of each transmission line, and the damaged power grid area is further determined. The source device model is established according to the active power threshold and the reactive power threshold, and the power grid distribution model is established according to the active power and reactive power. The power system model of the damaged power grid area is established according to the source device model and the power grid distribution model. The power system model is solved to obtain the resilience parameters of the damaged power grid area, and the damaged power grid area is configured according to the resilience parameters to improve the ability of the damaged power grid area to resist disasters. Compared with the problem of low disaster resistance in the configuration method of the power grid in the prior art, the present application can calculate the resilience parameters according to the above-mentioned model, and configure the distribution network according to the resilience parameters to improve the disaster resistance of the distribution network. Therefore, it can alleviate the problem of low disaster resistance of the distribution network in the prior art and improve the disaster resistance of the distribution network.

[0110] 2) In the configuration device of the disaster-stricken power grid of the present application, the damaged components and damaged lines are determined according to the working state parameters of each component and the working state parameters of each transmission line, and the damaged power grid area is further determined. The source device model is established according to the active power threshold and the reactive power threshold, and the power grid distribution model is established according to the active power and reactive power. The power system model of the damaged power grid area is established according to the source device model and the power grid distribution model. The power system model is solved to obtain the resilience parameters of the damaged power grid area, and the damaged power grid area is configured according to the resilience parameters to improve the ability of the damaged power grid area to resist disasters. Compared with the problem of low disaster resistance in the configuration device of the power grid in the prior art, the present application can calculate the resilience parameters according to the above model, and configure the distribution network according to the resilience parameters to improve the disaster resistance of the distribution network. Therefore, it can alleviate the problem of low disaster resistance of the distribution network in the prior art and improve the disaster resistance of the distribution network.

[0111] The above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A method for configuring a disaster-affected power grid, characterized in that: include: Obtaining operating status parameters of each component in the power grid to obtain a first operating status parameter, and obtaining operating status parameters of each transmission line in the power grid to obtain a second operating status parameter, determining a victim component based on the first operating status parameter, determining a victim line based on the second operating status parameter, and determining a victim power grid area based on the victim components and the victim lines, wherein the victim power grid area represents a power grid area affected by the disaster, and the operating status parameters are parameters indicating whether the operating status is normal; Obtaining an active power threshold and a reactive power threshold of the generator in the victim power grid area, establishing a source device model based on the active power threshold and the reactive power threshold, obtaining the active power and reactive power of each node in the victim power grid area, establishing a power distribution model based on the active power and the reactive power, and establishing a power system model of the victim power grid area based on the source device model and the power distribution model, wherein the generator is included in the victim power grid area, the active power threshold includes an active power upper limit and an active power lower limit, and the reactive power threshold includes a reactive power upper limit and a reactive power lower limit; Solving the power system model to obtain a resilience parameter of the affected power grid area, and configuring the affected power grid area according to the resilience parameter to improve the ability of the affected power grid area to resist disasters, wherein the resilience parameter is a parameter that characterizes the ability of the power grid to resist disasters; Establishing a source-end device model according to the active power threshold and the reactive power threshold includes: By formula The source device model is established according to the active power threshold and the reactive power threshold, wherein: represents the active power of the i-th generator in the scheduling period t, represents the active power of the i+1th generator in the scheduling period t, represents the reactive power of the i-th generator in the scheduling period t, represents the upper limit of the active power generated by the generator, Indicates the lower limit of the active power generated by the generator, represents the upper limit of the reactive power generated by the generator, represents the lower limit of the reactive power generated by the generator, represents the maximum downward ramp rate of the generator, represents the maximum upward ramp rate of the generator, represents the optimization step size, represents the active power of the i-th generator in the scheduling period t+1; Establishing a power system model of the victim power grid area according to the source device model and the power grid distribution network model includes: By formula The power system model of the victim power grid area is established according to the source device model and the power grid distribution network model, wherein: is the active power flowing out of branch i at node j within the scheduling period t, Indicates the maximum power allowed to pass through the transmission line, represents the working state of the transmission line ij in the scheduling period t, represents the voltage of node j in the scheduling period t, represents the lower limit of the voltage at node j, represents the upper voltage limit of node j, represents the working state parameter of the transmission line ij within the scheduling period t, represents the voltage amplitude at the node j in the scheduling period t, represents the voltage amplitude at node i during the scheduling period t, is the active power flowing out of branch i at node j in the scheduling period t, is the reactive power flowing out of branch i at node j in the scheduling period t; Solving the power system model to obtain resilience parameters of the affected power grid area includes: By formula The power system model is robustly quantified to obtain a robustness quantification result, wherein: is the load shedding value at node k within the scheduling period t, is the load shedding value at node k, is the total load value at the node k, is the quantitative result of the robustness under instantaneous disasters, This is the quantitative result of the robustness under persistent disasters, avg represents the average value; By formula Active quantization is performed on the power system model to obtain active quantization results, wherein: represents the maximum upward climbing power of the generator, represents the maximum downward climbing power of the generator, represents the upward active quantization result, represents the downward active quantization result, represents the upper limit of the active power generated by the generator, Indicates the lower limit of the active power generated by the generator, represents the active power of the i-th generator; By formula The power system model is rapidly quantified to obtain a rapid quantification result, wherein: Mean time to repair a fault, represents the overall scheduling time, Indicates the quantitative result of the rapidity; By formula The redundancy quantification of the power system model is performed to obtain a redundancy quantification result, wherein: represents the maximum power of the generator, represents the redundancy quantification result; Obtain a robustness impact index, a source influence index, a rapidity impact index, and a redundancy impact index, calculate the sum of the product of the robustness impact index and the robustness quantization result, the product of the source influence index and the source quantization result, the product of the rapidity impact index and the rapidity quantization result, and the product of the redundancy impact index and the redundancy quantization result, and obtain the toughness parameter.

2. The configuration method according to claim 1, characterized in that: Determining a victim component according to the first working state, determining a victim line according to the second working state, and determining a victim power grid area according to the victim component and the victim line includes: Determine an equation consisting of each component symbol and the first working state parameter as a transient disaster model, and determine the component corresponding to the parameter of the first working state parameter in the transient disaster model indicating that the working state is abnormal as the victim component, wherein the component symbol is a symbol representing each component; Determine an equation consisting of each of the transmission line symbols and the second working state parameter as a persistent disaster model, and determine the transmission line corresponding to the parameter of the second working state parameter in the persistent disaster model indicating that the working state is abnormal as the victim line, wherein the transmission line symbol is a symbol representing each of the transmission lines; An area formed by the victim components and the victim lines is determined as the victim power grid area.

3. The configuration method according to claim 1, wherein: Establishing a power distribution model according to the active power and the reactive power, including: By formula A power distribution model is established according to the active power and the reactive power, wherein: is the branch set of power injection at node j, is the set of branches where power flows out from node j, is the active power injected by branch k at node j, is the active power flowing out of branch i at node j, is the reactive power injected by branch k at node j, is the reactive power flowing out of branch i at node j, and the load at node j is Indicates that S j represents the power at node j, P j represents the active power at node j, Q j represents the reactive power at node j, represents the voltage amplitude at node i, represents the voltage amplitude at node j, Indicates the reference voltage, represents the resistance of the transmission line ij, represents the reactance of the transmission line ij.

4. The configuration method according to claim 1, wherein: Configuring the affected power grid area according to the resilience parameter includes: According to the toughness parameter, the formula Establish the objective function, where C represents the total operating cost, represents the optimization time window, Ind represents the cost of purchasing electricity from the upper network, Ind represents the resilience parameter, represents the operating cost of the thermal power generating unit, represents the resilience target cost coefficient; Obtain the constraints of the thermal power generating set and calculate the The power distribution network model is updated, wherein: For the thermal power generating unit exist The reactive power output at any moment, for The electric load level at the time, ψCGU represents the set of thermal generators; The objective function, the constraint conditions, and the updated power distribution model are jointly solved to obtain power grid configuration parameters, and the affected power grid area is configured according to the power grid configuration parameters, wherein the power grid configuration parameters include at least voltage and power.

5. A configuration device for a disaster-affected power grid, characterized in that: include: a determination unit, configured to obtain operating status parameters of each component in a power grid to obtain a first operating status parameter, and obtain operating status parameters of each transmission line in the power grid to obtain a second operating status parameter, determine a victim component based on the first operating status parameter, determine a victim line based on the second operating status parameter, and determine a victim power grid area based on the victim components and the victim lines, wherein the victim power grid area represents a power grid area affected by the disaster, and the operating status parameters are parameters indicating whether the operating status is normal; an establishing unit, configured to obtain an active power threshold and a reactive power threshold of a generator in the victim power grid area, establish a source device model based on the active power threshold and the reactive power threshold, obtain the active power and reactive power of each node in the victim power grid area, establish a power distribution network model based on the active power and the reactive power, and establish a power system model of the victim power grid area based on the source device model and the power distribution network model, wherein the generator is included in the victim power grid area, the active power threshold includes an active power upper limit and an active power lower limit, and the reactive power threshold includes a reactive power upper limit and a reactive power lower limit; a configuration unit, configured to solve the power system model to obtain a resilience parameter of the affected power grid area, and configure the affected power grid area according to the resilience parameter to improve the ability of the affected power grid area to resist disasters, wherein the resilience parameter is a parameter that characterizes the ability of the power grid to resist disasters; The establishing unit comprises: The first module is built to pass the formula The source device model is established according to the active power threshold and the reactive power threshold, wherein: represents the active power of the i-th generator in the scheduling period t, represents the active power of the i+1th generator in the scheduling period t, represents the reactive power of the i-th generator in the scheduling period t, represents the upper limit of the active power generated by the generator, Indicates the lower limit of the active power generated by the generator, represents the upper limit of the reactive power generated by the generator, represents the lower limit of the reactive power generated by the generator, represents the maximum downward ramp rate of the generator, represents the maximum upward ramp rate of the generator, represents the optimization step size, represents the active power of the i-th generator in the scheduling period t+1; The establishing unit also includes: The third module is used to build the The power system model of the victim power grid area is established according to the source device model and the power grid distribution network model, wherein: is the active power flowing out of branch i at node j within the scheduling period t, Indicates the maximum power allowed to pass through the transmission line, represents the working state of the transmission line ij in the scheduling period t, represents the voltage of node j in the scheduling period t, represents the lower limit of the voltage at node j, represents the upper voltage limit of node j, represents the working state parameter of the transmission line ij within the scheduling period t, represents the voltage amplitude at the node j in the scheduling period t, represents the voltage amplitude at node i during the scheduling period t, is the active power flowing out of branch i at node j in the scheduling period t, is the reactive power flowing out of branch i at node j in the scheduling period t; The configuration unit further includes: The first quantization module is used to calculate the The power system model is robustly quantified to obtain a robustness quantification result, wherein: is the load shedding value at node k within the scheduling period t, is the load shedding value at node k, is the total load value at the node k, is the quantitative result of the robustness under instantaneous disasters, This is the quantitative result of the robustness under persistent disasters, avg represents the average value; The second quantization module is used to calculate the Active quantization is performed on the power system model to obtain active quantization results, wherein: represents the maximum upward climbing power of the generator, represents the maximum downward climbing power of the generator, represents the upward active quantization result, represents the downward active quantization result, represents the upper limit of the active power generated by the generator, Indicates the lower limit of the active power generated by the generator, represents the active power of the i-th generator; The third quantization module is used to calculate the The power system model is rapidly quantified to obtain a rapid quantification result, wherein: Mean time to repair a fault, represents the overall scheduling time, Indicates the quantitative result of the rapidity; The fourth quantization module is used to calculate the The redundancy quantification of the power system model is performed to obtain a redundancy quantification result, wherein: represents the maximum power of the generator, represents the redundancy quantification result; A calculation module is used to obtain a robustness impact index, a source influence index, a rapidity impact index and a redundancy impact index, calculate the sum of the product of the robustness impact index and the robustness quantization result, the product of the source influence index and the source quantization result, the product of the rapidity impact index and the rapidity quantization result, and the product of the redundancy impact index and the redundancy quantization result, to obtain the toughness parameter.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the configuration method according to any one of claims 1 to 4.

7. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include a method for executing the configuration method according to any one of claims 1 to 4.

Images