A method and system for preventing and dispatching power grid accidents under typhoon disasters

Abstract

The present invention relates to the technical field of power grid data processing, and discloses a method and system for preventing and dispatching power grid accidents under typhoon disasters. By constructing a typhoon disaster expected fault set and an N-1 expected fault set, based on the N-1 safety criterion of the power grid, preventive control is performed on the simultaneous disconnection of lines in dense transmission channels affected by the typhoon. An optimization objective function is constructed by minimizing the sum of the absolute values ​​of unit output adjustments under a base state as the optimization goal. The power grid operating base state, the N-1 expected fault state, and the disaster expected fault state are used as constraints to reduce the computational scale of the preventive control problem and improve computational efficiency. By directly establishing an accident prevention and dispatch optimization model for the disaster state and performing optimal solution on the model, an optimization scheme for preventing and dispatching power grid accidents is obtained according to the optimal solution. This solves the problem of a large number of disconnecting components and the high probability of non-convergence of power flow in expected fault analysis, thereby helping to improve power supply reliability under typhoon disasters.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid data processing, and in particular to a method and system for preventing and dispatching power grid accidents under typhoon disasters. Background Art

[0002] The reliability of the power system must meet the N-1 safety criterion to ensure that even if any component is disconnected without fault, the power system can still operate safely, avoiding cascading failures caused by expected disconnections and allowing sufficient time for grid dispatchers to handle incidents. During typhoon disasters, the probability of power component failure in the typhoon-affected area increases significantly, and the likelihood of simultaneous failure of components within the grid's dense transmission channels due to the typhoon is greatly increased. Before the typhoon arrives, preventive control measures are formulated for the dense transmission channels within the typhoon-affected area based on weather forecasts. This preventive control ensures that when a typhoon actually arrives, even if all components within the dense transmission channels are disconnected simultaneously, the power grid can still operate safely. This leaves sufficient time for emergency response and is of great significance for ensuring the safe and reliable operation of the power grid and reducing losses caused by typhoon disasters.

[0003] For large-scale power systems, due to the large scale of the N-1 expected fault set, if all expected fault states are modeled in detail and their reliability constraints are considered, the computational scale of the preventive control problem will be very large, and its numerical solution will be extremely difficult. In practice, the power flow transfer relationship is generally used to describe the safety constraints after the N-1 fault, and the computational efficiency is improved by filtering redundant constraints.

[0004] There are generally many lines in a dense transmission channel. Under normal operating conditions of the power grid, when the lines in the dense transmission channel are expected to be disconnected at the same time, due to the large number of disconnecting components, the expected fault analysis is very likely to result in non-convergence of the power flow. In addition, the active power flow transfer relationship when multiple components are disconnected is difficult to ensure accuracy, which brings difficulties to the prevention, control and handling of disaster accidents. Summary of the Invention

[0005] In view of this, in order to solve the above technical problems, the present invention provides a method and system for preventing and dispatching power grid accidents under typhoon disasters.

[0006] A first aspect of the present invention provides a method for preventing and dispatching power grid accidents under typhoon disasters, comprising:

[0007] Based on the typhoon impact prediction area and the regional distribution of dense transmission channels in the target area, a typhoon disaster expected fault set and an N-1 expected fault set are constructed;

[0008] An optimization objective function is constructed with the minimization of the sum of the absolute values ​​of the unit output adjustments under the base state as the optimization goal. An accident prevention scheduling optimization model is constructed based on the grid operation base state, N-1 expected fault state, and disaster expected fault state as constraints.

[0009] The accident prevention and dispatch optimization model is optimized and solved based on the typhoon disaster expected fault set and the N-1 expected fault set, and a power grid accident prevention and dispatch optimization plan is obtained according to the optimal solution.

[0010] Preferably, the constructing of the typhoon disaster anticipated fault set and the N-1 anticipated fault set according to the typhoon impact prediction area and the regional distribution of dense power transmission channels within the target area includes:

[0011] Determine the typhoon impact prediction area based on typhoon forecast information within the target area;

[0012] Determining a plurality of dense power transmission channels affected by the typhoon based on the typhoon impact prediction area and the regional distribution of dense power transmission channels;

[0013] For each of the dense transmission channels, construct a typhoon disaster anticipated failure scenario, an N-1 anticipated failure scenario, and handling measures for simultaneous disconnection of components in the dense transmission channel;

[0014] The typhoon disaster expected fault set and the N-1 expected fault set are constructed according to the typhoon disaster expected fault scenario, the N-1 expected fault scenario and the handling measures for simultaneous disconnection of components in the dense transmission channel.

[0015] Preferably, the optimization objective function is a function of minimizing the difference between the base-state active output of each unit in the dense power transmission channel and the active output setting value before the unit is adjusted.

[0016] Preferably, the constraints of the grid base state operation include node power balance constraints, unit output upper and lower limit constraints, node voltage upper and lower limit constraints, branch power flow steady-state constraints and branch base state active power flow upper and lower limit constraints.

[0017] Preferably, the constraint conditions of the N-1 expected fault state include the base state active power flow constraint of the branch after the N-1 expected fault occurs and the short-time allowable current carrying capacity limit constraint of the component power flow after the N-1 expected fault occurs.

[0018] Preferably, the constraints of the disaster anticipated fault state include: node power balance constraints, unit output constraints, node voltage constraints, branch power flow constraints and constraints on the output change of each unit after the anticipated fault occurs.

[0019] Preferably, the optimizing and solving the accident prevention and dispatch optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtaining the power grid accident prevention and dispatch optimization scheme according to the optimal solution, includes:

[0020] Based on the typhoon disaster expected fault set and the N-1 expected fault set, the accident prevention scheduling optimization model is optimized and solved using the nonlinear programming primal-dual interior point method until the error between two adjacent optimizations meets the preset error range. The optimal solution is output, and the power grid accident prevention scheduling optimization plan is obtained based on the optimal solution.

[0021] In a second aspect, the present invention further provides a power grid accident prevention and dispatching system under typhoon disasters, comprising:

[0022] The fault set construction module is used to construct the typhoon disaster expected fault set and the N-1 expected fault set based on the typhoon impact prediction area and the regional distribution of dense transmission channels in the target area;

[0023] The model construction module is used to construct an optimization objective function with the minimization of the sum of the absolute values ​​of the unit output adjustments under the base state as the optimization goal, and to build an accident prevention scheduling optimization model based on the grid operation base state, N-1 expected fault state and disaster expected fault state as constraints;

[0024] The model optimization module is used to search and solve the accident prevention and scheduling optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtain the power grid accident prevention and scheduling optimization plan according to the optimal solution.

[0025] In a third aspect, the present invention further provides an electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the method for preventing and dispatching power grid accidents under typhoon disasters as described in the first aspect.

[0026] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the steps of the method for preventing and dispatching power grid accidents under typhoon disasters as described in the first aspect.

[0027] It can be seen from the above technical solutions that the present invention constructs a typhoon disaster expected fault set and an N-1 expected fault set, and on the basis of the N-1 safety criteria of the power grid, simultaneously disconnects the lines in the dense transmission channel affected by the typhoon to perform preventive control, and constructs an optimization objective function by minimizing the sum of the absolute values ​​of the unit output adjustment under the base state as the optimization goal, and uses the power grid operation base state, N-1 expected fault state and disaster expected fault state as constraints to reduce the calculation scale of the preventive control problem and improve the calculation efficiency. By directly establishing an accident prevention scheduling optimization model for the disaster state and solving the model for optimization, a power grid accident prevention scheduling optimization scheme is obtained according to the optimal solution, which solves the problem of a large number of disconnecting components and the problem that the power flow does not converge easily in the expected fault analysis, which helps to improve the power supply reliability under typhoon disasters and reduce typhoon disaster losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 An application environment for a method for preventing and dispatching power grid accidents under typhoon disasters provided by an embodiment of the present invention;

[0029] Figure 2 A flowchart of a method for preventing and dispatching power grid accidents during typhoon disasters provided by an embodiment of the present invention;

[0030] Figure 3 A schematic structural diagram of a power grid accident prevention and dispatching system under typhoon disasters provided by an embodiment of the present invention;

[0031] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of 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 of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0033] The method for preventing and dispatching power grid accidents under typhoon disasters provided in the embodiment of the present application can be applied to Figure 1In the application environment shown, each node in the power grid communicates with server 102 via a network. A data storage system can store data that server 102 needs to process. The data storage system can be integrated with server 102 or placed in the cloud or on other network servers. Server 102 can be a standalone physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services.

[0034] like Figure 2 As shown in the figure, a method for preventing and dispatching power grid accidents under typhoon disasters is provided. Figure 1 The server 102 in the example is used as an example to illustrate the method, including the following steps 1 to S3.

[0035] Step S1: construct a typhoon disaster expected fault set and an N-1 expected fault set based on the typhoon impact prediction area and the regional distribution of dense transmission channels in the target area.

[0036] Among them, the typhoon impact prediction area within the target area refers to the prediction of the typhoon impact prediction area based on the weather forecast conditions of the target area. The typhoon impact prediction area includes typhoon intensity and typhoon path.

[0037] The regional distribution of dense transmission channels refers to the regional location distribution of the dense transmission channels within the target area. By comparing the typhoon impact prediction area within the target area with the regional distribution of the dense transmission channels, the affected dense transmission channels can be determined.

[0038] Specifically, step S1 includes:

[0039] Step 101: Determine a typhoon impact prediction area based on typhoon forecast information within a target area.

[0040] Among them, typhoon forecast information includes typhoon intensity and path.

[0041] Step 102: Determine multiple dense power transmission channels affected by the typhoon based on the typhoon impact prediction area and the regional distribution of dense power transmission channels.

[0042] Step 103: For each dense transmission channel, construct a typhoon disaster expected failure scenario, an N-1 expected failure scenario, and a treatment measure for simultaneous disconnection of components in the dense transmission channel;

[0043] Step 104 : Construct a typhoon disaster expected fault set and an N-1 expected fault set based on the typhoon disaster expected fault scenario, the N-1 expected fault scenario, and the handling measures for simultaneous disconnection of components in dense transmission channels.

[0044] The typhoon disaster anticipated fault set was constructed based on the typhoon disaster anticipated fault scenario and the treatment measures for simultaneous disconnection of components in dense transmission channels under the typhoon disaster anticipated fault scenario. The N-1 anticipated fault set was also constructed based on the N-1 anticipated fault scenario and the treatment measures for simultaneous disconnection of components in dense transmission channels under the typhoon disaster anticipated fault scenario.

[0045] Step S2: construct an optimization objective function with minimizing the sum of the absolute values ​​of the unit output adjustment under the base state as the optimization goal, and construct an accident prevention scheduling optimization model based on the grid operation base state, N-1 expected fault state and disaster expected fault state as constraints.

[0046] The optimization objective function is to minimize the difference between the base-state active output of each unit in the dense transmission channel and the active output setting value before the unit adjustment. Specifically:

[0047]

[0048] In the formula, the superscript represents the ground state; Represents the set of units running in base state; Indicates the unit The ground state active output; Indicates the unit Active output setting value before adjustment.

[0049] The constraints of the grid base state operation include node power balance constraints, unit output upper and lower limit constraints, node voltage upper and lower limit constraints, branch power flow steady-state constraints and branch base state active power flow upper and lower limit constraints.

[0050] Specifically, the node power balance constraint is based on Kirchhoff's current law, and the active and reactive power flows of each node must be balanced, that is:

[0051]

[0052] Where, Represents the base state node unit association matrix; represents the base state node load correlation matrix; and Respectively represent the active and reactive output vectors of the base state unit; and They represent the load active and reactive vectors respectively. Load adjustment is not performed in preventive control, so they are known constant vectors. and Represent the ground state node voltage amplitude vector and phase vector respectively; Represents the base state network active power injection function vector; Represents the base state network reactive injection function vector.

[0053] The upper and lower limit constraints of the unit output mean that the active and reactive output of each unit should meet their upper and lower limit constraints, namely:

[0054]

[0055] in, 、 They represent the lower and upper limits of the base-state unit’s active output respectively. 、 They respectively represent the lower and upper limits of the reactive output of the base-state unit.

[0056] Node voltage upper and lower limit constraints The voltage amplitude of each node should meet its upper and lower limit constraints, namely:

[0057]

[0058] Where, and Represents nodes respectively Lower and upper limits of voltage amplitude; Represents a collection of base state running nodes.

[0059] The branch flow steady-state constraint is achieved by introducing the variable To represent a branch The base-state active power flow from the beginning to the end is:

[0060]

[0061] in, Indicates a branch Function of the base-state active power flow from the beginning to the end; Represents the base state running branch set;

[0062] The upper and lower limit constraints of the branch base state active power flow stipulate that the allowable range of the branch base state active power flow is

[0063]

[0064] Where, Indicates a branch Long-term allowable current carrying capacity.

[0065] The constraints of the N-1 expected fault state include the base-state active power flow constraint of the branch after the N-1 expected fault occurs and the short-time allowable current carrying capacity limit constraint of the component power flow after the N-1 expected fault occurs.

[0066] Among them, the base state active power flow constraint of the branch after the N-1 expected fault occurs is to perform expected fault analysis on the N-1 expected fault set based on the current base state power flow, establish the active power flow transfer relationship before and after the fault, and convert the N-1 expected fault After the branch occurs The fault state active power flow is described as branch and the linear function of the base-state active power flow of the disconnected branch, that is:

[0067]

[0068] Where, For N-1 expected fault set; Indicates expected failure After the branch occurs The meritorious trend; and Respectively represent branches and The base state active power flow; Indicates expected failure After the occurrence of the branch circuit For non-disconnected branches The power flow transfer coefficient; Indicates expected failure The set of disconnected branches; Indicates expected failure The running branch set after the occurrence is .

[0069] The short-term allowable current carrying capacity limit constraint of the component power flow after the N-1 expected fault occurs requires that the component power flow after the expected fault does not exceed the short-term allowable current carrying capacity of the equipment, that is:

[0070]

[0071] Where, Indicates a branch Short-time allowable current carrying capacity;

[0072] Substituting the linear function of the base-state active power flow into the expected short-term allowable current carrying capacity of the component after the fault does not exceed the equipment, we can get

[0073]

[0074] Among them, redundant constraints are filtered by anticipating fault state power flow constraints to reduce the number of constraints and improve the computational efficiency of preventive control problems.

[0075] The constraints of the disaster anticipated fault state include: node power balance constraints, unit output constraints, node voltage constraints, branch power flow constraints, and constraints on the output change of each unit after the anticipated fault occurs.

[0076] The node power balance constraint is based on Kirchhoff's current law, and the active and reactive power flows of each node must be balanced, that is:

[0077]

[0078] in, Indicates the disaster expected fault number; represents the set of disaster-predicted faults; represents the node unit association matrix; represents the node load correlation matrix; and Respectively represent the active and reactive output vectors of the unit; and Represent the node voltage amplitude vector and phase vector respectively; Represents the network active power injection function vector; Represents the network reactive injection function vector.

[0079] The unit output constraint is that the active and reactive output of each unit should meet its upper and lower limit constraints, that is:

[0080]

[0081] Where, and Disaster anticipated failure state Lower unit Active and reactive power output; Indicates the set of units operating under disaster.

[0082] The node voltage constraint is that the voltage amplitude of each node should meet its upper and lower limit constraints, that is:

[0083]

[0084] Where, Indicates a disaster-predicted failure state Next node Voltage amplitude; Indicates a disaster-predicted failure state Run the node collection.

[0085] The branch power flow constraint is the allowable range of branch active power flow.

[0086]

[0087] Where, Indicates a branch Function of the base-state active power flow from the beginning to the end; Indicates a disaster-predicted failure state The collection of running branches.

[0088] The constraint on the output change of each unit after the expected fault occurs is the correlation between the base state and the disaster expected fault state. The constraint condition is that the output change of each unit after the expected fault is distributed according to the unit's spare capacity, that is:

[0089]

[0090] Where, Indicates the unit in base state Active reserve before optimization; Indicates a disaster-predicted failure state The unit output distribution coefficient under .

[0091] Step S3: searching and solving the accident prevention scheduling optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtaining the power grid accident prevention scheduling optimization plan according to the optimal solution.

[0092] Specifically, the steps are based on the typhoon disaster expected fault set and the N-1 expected fault set, and the nonlinear programming primal-dual interior point method is used to search and solve the accident prevention scheduling optimization model until the error between two adjacent optimizations meets the preset error range. The optimal solution is output, and the power grid accident prevention scheduling optimization plan is obtained based on the optimal solution.

[0093] It is understandable that by repeatedly updating and solving the typhoon disaster prevention and control model, the accuracy of the active power flow transfer relationship model can be effectively improved, providing preventive auxiliary decision-making suggestions for typhoon disaster response.

[0094] It should be noted that the embodiment of the present application constructs a typhoon disaster expected fault set and an N-1 expected fault set, and on the basis of the N-1 safety criteria of the power grid, simultaneously disconnects the lines in the dense transmission channel affected by the typhoon to perform preventive control, and constructs an optimization objective function by minimizing the sum of the absolute values ​​of the unit output adjustment under the base state as the optimization goal, and uses the power grid operation base state, N-1 expected fault state and disaster expected fault state as constraints to reduce the computational scale of the preventive control problem and improve the computational efficiency. By directly establishing an accident prevention scheduling optimization model for the disaster state and solving the model for optimization, a power grid accident prevention scheduling optimization scheme is obtained according to the optimal solution, which solves the problem of a large number of disconnecting components and the problem that the power flow does not converge easily in the expected fault analysis, which helps to improve the power supply reliability under typhoon disasters and reduce typhoon disaster losses.

[0095] Based on the same inventive concept, an embodiment of the present application further provides a power grid accident prevention and dispatching system under typhoon disasters for implementing the above-mentioned power grid accident prevention and dispatching method under typhoon disasters.

[0096] The implementation solution provided by this system to solve the problem is similar to the implementation solution recorded in the above method. Therefore, the specific limitations in one or more embodiments of the power grid accident prevention and dispatching system under typhoon disasters provided below can be referred to the limitations of the power grid accident prevention and dispatching method under typhoon disasters above, and will not be repeated here.

[0097] like Figure 3 As shown, the embodiment of the present application also provides a power grid accident prevention and dispatching system under typhoon disasters, including:

[0098] The fault set construction module 100 is used to construct a typhoon disaster expected fault set and an N-1 expected fault set based on the typhoon impact prediction area and the regional distribution of dense power transmission channels in the target area;

[0099] The model construction module 200 is used to construct an optimization objective function with the minimization of the sum of the absolute values ​​of the unit output adjustment under the base state as the optimization goal, and to construct an accident prevention scheduling optimization model based on the grid operation base state, N-1 expected fault state and disaster expected fault state as constraints;

[0100] The model optimization module 300 is used to search and solve the accident prevention and dispatch optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtain the power grid accident prevention and dispatch optimization plan according to the optimal solution.

[0101] In some embodiments, the fault set construction module 100 is used to determine a typhoon impact prediction area based on typhoon forecast information in the target area; determine multiple dense transmission channels affected by the typhoon based on the typhoon impact prediction area and the regional distribution of dense transmission channels; for each dense transmission channel, construct a typhoon disaster expected fault scenario, an N-1 expected fault scenario, and handling measures for simultaneous disconnection of components in the dense transmission channel; construct a typhoon disaster expected fault set and an N-1 expected fault set based on the typhoon disaster expected fault scenario, the N-1 expected fault scenario, and handling measures for simultaneous disconnection of components in the dense transmission channel.

[0102] In some embodiments, the optimization objective function is a function of minimizing the difference between the base-state active power output of each unit in the dense transmission channel and the active power output setting value before the unit is adjusted.

[0103] In some embodiments, the constraints of the grid base state operation include node power balance constraints, unit output upper and lower limit constraints, node voltage upper and lower limit constraints, branch power flow steady-state constraints, and branch base state active power flow upper and lower limit constraints.

[0104] In some embodiments, the constraint conditions of the N-1 expected fault state include the base state active power flow constraint of the branch after the N-1 expected fault occurs and the short-time allowable current carrying capacity limit constraint of the component power flow after the N-1 expected fault occurs.

[0105] In some embodiments, the constraints of the disaster anticipated fault state include: node power balance constraints, unit output constraints, node voltage constraints, branch power flow constraints, and constraints on the output change of each unit after the anticipated fault occurs.

[0106] In some embodiments, the model optimization module 300 is used to search for and solve the accident prevention scheduling optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set using the nonlinear programming primal-dual interior point method until the error between two adjacent optimizations meets the preset error range, output the optimal solution, and obtain the power grid accident prevention scheduling optimization plan based on the optimal solution.

[0107] like Figure 4 As shown, an embodiment of the present application also provides an electronic device, the electronic device 10 includes a memory 20 and a processor 30, the memory 20 stores a computer program, and when the computer program is executed by the processor 30, the processor 30 executes the steps of the power grid accident prevention and dispatching method under typhoon disasters as in any of the above embodiments.

[0108] 10. A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the steps of the method for preventing and dispatching power grid accidents under typhoon disasters as described in any of the above embodiments are implemented.

[0109] This embodiment is applicable to the situation of topology identification of distribution network. The method can be executed by a topology identification device of distribution network. The topology identification device of distribution network can be implemented in the form of hardware and / or software. The topology identification device of distribution network can be configured in a computer device.

[0110] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, electronic devices, and computer storage media can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0111] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof 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.

[0112] In several embodiments provided by the present invention, it is understood that each box in the flow chart or block diagram can represent a module, program segment or part of the code, and the module, program segment or part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0113] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, electronic devices, computer storage media and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0114] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0115] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0116] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for executing all or part of the steps of the method described in each embodiment of the present invention via a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0117] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for preventing and dispatching power grid accidents under typhoon disasters, characterized in that: include: Based on the typhoon impact prediction area and the regional distribution of dense transmission channels within the target area, a typhoon disaster expected fault set and an N-1 expected fault set are constructed, including: Determine the typhoon impact prediction area based on typhoon forecast information within the target area; Determining a plurality of dense power transmission channels affected by the typhoon based on the typhoon impact prediction area and the regional distribution of dense power transmission channels; For each of the dense transmission channels, construct a typhoon disaster anticipated failure scenario, an N-1 anticipated failure scenario, and handling measures for simultaneous disconnection of components in the dense transmission channel; Constructing the typhoon disaster expected fault set and the N-1 expected fault set according to the typhoon disaster expected fault scenario, the N-1 expected fault scenario, and the handling measures for simultaneous disconnection of components in the dense transmission channel; An optimization objective function is constructed with the minimization of the sum of the absolute values ​​of the unit output adjustments under the base state as the optimization goal. An accident prevention scheduling optimization model is constructed based on the grid operation base state, N-1 expected fault state, and disaster expected fault state as constraints. The accident prevention and dispatch optimization model is optimized and solved based on the typhoon disaster expected fault set and the N-1 expected fault set, and a power grid accident prevention and dispatch optimization plan is obtained according to the optimal solution.

2. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The optimization objective function is a function of minimizing the difference between the base-state active output of each unit in the dense power transmission channel and the active output setting value before the unit is adjusted.

3. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The constraints of the grid base state operation include node power balance constraints, unit output upper and lower limit constraints, node voltage upper and lower limit constraints, branch power flow steady-state constraints and branch base state active power flow upper and lower limit constraints.

4. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The constraint conditions of the N-1 expected fault state include the base state active power flow constraint of the branch after the N-1 expected fault occurs and the short-time allowable current carrying capacity limit constraint of the component power flow after the N-1 expected fault occurs.

5. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The constraints of the disaster anticipated fault state include: node power balance constraints, unit output constraints, node voltage constraints, branch power flow constraints, and constraints on the output change of each unit after the anticipated fault occurs.

6. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The optimizing and solving the accident prevention and dispatch optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtaining the power grid accident prevention and dispatch optimization plan according to the optimal solution, includes: Based on the typhoon disaster expected fault set and the N-1 expected fault set, the accident prevention scheduling optimization model is optimized and solved using the nonlinear programming primal-dual interior point method until the error between two adjacent optimizations meets the preset error range. The optimal solution is output, and the power grid accident prevention scheduling optimization plan is obtained based on the optimal solution.

7. A power grid accident prevention and dispatching system under typhoon disasters, characterized in that: include: The fault set construction module is used to construct the typhoon disaster expected fault set and the N-1 expected fault set based on the typhoon impact prediction area and the regional distribution of dense transmission channels in the target area; Based on the typhoon impact prediction area and the regional distribution of dense transmission channels within the target area, a typhoon disaster expected fault set and an N-1 expected fault set are constructed, including: Determine the typhoon impact prediction area based on typhoon forecast information within the target area; Determining a plurality of dense power transmission channels affected by the typhoon based on the typhoon impact prediction area and the regional distribution of dense power transmission channels; For each of the dense transmission channels, construct a typhoon disaster anticipated failure scenario, an N-1 anticipated failure scenario, and handling measures for simultaneous disconnection of components in the dense transmission channel; Constructing the typhoon disaster expected fault set and the N-1 expected fault set according to the typhoon disaster expected fault scenario, the N-1 expected fault scenario, and the handling measures for simultaneous disconnection of components in the dense transmission channel; The model construction module is used to construct an optimization objective function with the minimization of the sum of the absolute values ​​of the unit output adjustments under the base state as the optimization goal, and to build an accident prevention scheduling optimization model based on the grid operation base state, N-1 expected fault state and disaster expected fault state as constraints; The model optimization module is used to search and solve the accident prevention and scheduling optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtain the power grid accident prevention and scheduling optimization plan according to the optimal solution.

8. An electronic device, characterized in that: The electronic device includes a memory and a processor, wherein a computer program is stored in the memory. When the computer program is executed by the processor, the processor executes the steps of the power grid accident prevention and dispatching method under typhoon disasters as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the steps of the method for preventing and dispatching power grid accidents under typhoon disasters according to any one of claims 1 to 6 are implemented.

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