Power grid accident prevention scheduling method and system under typhoon disaster

Abstract

The invention relates to the technical field of power grid data processing, and discloses a power grid accident prevention scheduling method and system under typhoon disasters, and the method comprises the steps: constructing a typhoon disaster anticipated fault set and an N-1 anticipated fault set, and carrying out the preventive control of the simultaneous connection and disconnection of lines in a dense power transmission channel affected by typhoons on the basis of the N-1 safety criterion of a power grid, thereby achieving the prevention scheduling of power grid accidents under typhoon disasters. An optimization objective function is constructed by taking minimization of the sum of unit output adjustment amount absolute values in a ground state as an optimization objective, and the power grid operation ground state, the N-1 anticipated fault state and the disaster anticipated fault state are taken as constraint conditions, so that the calculation scale of the prevention and control problem is reduced, the calculation efficiency is improved, and the method is suitable for large-scale popularization and application. The accident prevention scheduling optimization model of the disaster state is directly established, the model is optimized and solved, and the power grid accident prevention scheduling optimization scheme is obtained according to the optimal solution, so that the problems that the number of cut-off elements is large and anticipated fault analysis is extremely easy to cause non-convergence of power flow are solved, and the power supply reliability under the typhoon disaster is favorably improved.

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 requires that it meets the N-1 safety criteria to ensure that when any component is disconnected without failure, the power system can still operate safely, so as to avoid chain failures caused by expected disconnections and leave sufficient time for grid dispatching and operation personnel to deal with accidents. Under typhoon disasters, the probability of failure of power components in the typhoon-affected area increases greatly, and the possibility of simultaneous failure of components in the dense transmission channels of the power grid due to the typhoon is greatly increased. Before the typhoon arrives, preventive control measures are formulated for the dense transmission channels in the typhoon-affected area according to weather forecasts. Through preventive control, it is ensured that when the typhoon really comes, even if all components in the dense transmission channels are disconnected at the same time, the power grid can still operate safely, leaving sufficient time for emergency handling of accidents, which is of great significance to ensuring the safe and reliable operation of the power grid and reducing the losses caused by typhoon disasters.

[0003] For large-scale power systems, due to the large scale of the N-1 anticipated fault set, if all anticipated 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 a large number of 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 show that the power flow does not converge. In addition, it is difficult to ensure the accuracy of the active power flow transfer relationship when multiple components are disconnected, 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] According to 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] The optimization objective function is constructed with the minimization of the sum of the absolute values ​​of the unit output adjustment under the base state as the optimization goal, and the accident prevention dispatch 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 in the target area includes:

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

[0012] Determining a plurality of dense power transmission channels affected by the typhoon according to 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 treatment measures for simultaneous disconnection of components in the dense transmission channel;

[0014] The typhoon disaster anticipated fault set and the N-1 anticipated fault set are constructed according to the typhoon disaster anticipated fault scenario, the N-1 anticipated fault scenario and the handling measures for simultaneous disconnection of components in the dense power 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 base state of the power grid 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 constraint conditions of the disaster anticipated fault state include: node power balance constraint, unit output constraint, node voltage constraint, branch flow constraint and each unit output change constraint after the anticipated fault occurs.

[0019] Preferably, the optimizing and solving the accident prevention 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 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 by the nonlinear programming primal-dual interior point method until the error between two adjacent optimizations meets the preset error range, and the optimal solution is output, and the power grid accident prevention scheduling optimization plan is obtained according to 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] A fault set construction module is used to construct a typhoon disaster expected fault set and an N-1 expected fault set according to the typhoon impact prediction area and the regional distribution of dense transmission channels in the target area;

[0023] The model building module 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;

[0024] The model optimization module is used to find the optimal solution for 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 the memory stores a computer program, and 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 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 when the computer program is executed, the steps of the method for preventing and dispatching power grid accidents under typhoon disasters as described in the first aspect are implemented.

[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 amounts under the base state as the optimization goal, and uses the power grid operation base state, the N-1 expected fault state and the 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 optimizing the model, 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 of a power grid accident prevention and dispatching method 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 under typhoon disasters provided by an embodiment of the present invention;

[0030] Figure 3 A schematic diagram of the structure 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 diagram of the structure 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 scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below 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 of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The power grid accident prevention and dispatching method under typhoon disasters provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Each node of the power grid communicates with the server 102 through the network. The data storage system can store the data that the server 102 needs to process. The data storage system can be integrated on the server 102, or it can be placed on the cloud or other network servers. The server 102 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

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

[0035] Step S1: construct a typhoon disaster anticipated fault set and an N-1 anticipated fault set according to 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 the 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 in the target area with the regional distribution of 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 in a target area.

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

[0041] Step 102: Determine 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.

[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 according to the typhoon disaster expected fault scenario, the N-1 expected fault scenario, and the handling measures for simultaneous disconnection of components in a dense transmission channel.

[0044] Among them, the typhoon disaster expected fault set is constructed according to the typhoon disaster expected fault scenario and the treatment measures for simultaneous disconnection of components in dense transmission channels under the typhoon disaster expected fault scenario. And the N-1 expected fault set is constructed according to the N-1 expected fault scenario and the N-1 expected fault scenario and the treatment measures for simultaneous disconnection of components in dense transmission channels under the typhoon disaster expected fault scenario.

[0045] Step S2, construct an optimization objective function with minimization of 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 the minimization function of 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 operating in the 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] In the formula, 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 active and reactive load vectors respectively. Load adjustment is not performed in preventive control, so they are known constant vectors. and Respectively represent the ground state node voltage amplitude vector and phase vector; 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 refer to that the active and reactive output of each unit should meet its 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 reactive power output of the base state unit.

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

[0057]

[0058] In the formula, and Respectively represent nodes The lower and upper limits of the voltage amplitude; Represents a collection of base state running nodes.

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

[0060]

[0061] in, Indicates 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] In the formula, Indicates branch Long-term allowable current carrying capacity.

[0065] 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.

[0066] Among them, the base state active power flow constraint of the branch after the N-1 expected fault occurs is to analyze 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 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] In the formula, For N-1 expected fault set; Indicates expected failure After the branch 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 flow after the N-1 expected fault occurs requires that the component flow after the expected fault does not exceed the short-term allowable current carrying capacity of the equipment, that is:

[0070]

[0071] In the formula, Indicates 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 flow constraints and constraints on the output change of each unit after the anticipated fault occurs.

[0076] Among them, 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 failure number; represents the set of disaster anticipated 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 Respectively represent the node voltage amplitude vector and phase vector; Represents the network active power injection function vector; Represents the network reactive power 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] In the formula, and Disaster Predicted Failure State Lower unit Active and reactive output; Indicates the set of units operating under disaster conditions.

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

[0083]

[0084] In the formula, Indicates the disaster expected failure state Next Node Voltage amplitude; Indicates the disaster expected failure state Run the node collection below.

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

[0086]

[0087] In the formula, Indicates branch Function of the base state active power flow from the beginning to the end; Indicates the disaster expected failure state A collection of running branches.

[0088] The output change constraint 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 allocated according to the unit's spare capacity, that is:

[0089]

[0090] In the formula, Indicates the base state unit Active reserve before optimization; Indicates the disaster expected failure state The unit output distribution coefficient under .

[0091] Step S3: searching and solving the accident prevention 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 dispatch 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 find the optimal solution for 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 can be understood 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 anticipated fault set and an N-1 anticipated 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 for preventive control, and constructs an optimization objective function by minimizing the sum of the absolute values ​​of the unit output adjustment amounts under the base state as the optimization goal, and uses the power grid operation base state, N-1 anticipated fault states and disaster anticipated fault states 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 plan 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 anticipated 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 also 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 for solving the problem provided by the system 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 according to the typhoon impact prediction area and the regional distribution of dense power transmission channels in the target area;

[0099] The model building module 200 is used to build 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 build an accident prevention scheduling optimization model based on the power 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 find the optimal solution for 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 the 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 typhoon disaster anticipated fault scenarios, N-1 anticipated fault scenarios and processing measures for simultaneous disconnection of components in the dense transmission channel; construct typhoon disaster anticipated fault sets and N-1 anticipated fault sets based on typhoon disaster anticipated fault scenarios, N-1 anticipated fault scenarios and processing 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 output of each unit in the dense transmission channel and the active 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 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 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 in any of the above embodiments.

[0108] 10. 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 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 can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described system, electronic device and computer storage medium 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 specification 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 data 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 that are 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, a program segment or a part of a code, and a part of a module, a program segment or a code includes 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 from 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 only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, 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 an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0115] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0116] If the integrated unit is implemented in the form of 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 is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for executing all or part of the steps of the method described in each embodiment of the present invention through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[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 the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. 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 embodiments of the present invention.

Claims

1. A method for preventing and dispatching power grid accidents under typhoon disasters, characterized in that: include: According to 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; The optimization objective function is constructed with the minimization of the sum of the absolute values ​​of the unit output adjustment under the base state as the optimization goal, and the accident prevention dispatch 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 method of constructing a typhoon disaster anticipated fault set and an N-1 anticipated fault set according to the typhoon impact prediction area and the regional distribution of dense power transmission channels in the target area includes: Determine the typhoon impact prediction area based on the typhoon forecast information in the target area; Determining a plurality of dense power transmission channels affected by the typhoon according to 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 treatment measures for simultaneous disconnection of components in the dense transmission channel; The typhoon disaster anticipated fault set and the N-1 anticipated fault set are constructed according to the typhoon disaster anticipated fault scenario, the N-1 anticipated fault scenario and the handling measures for simultaneous disconnection of components in the dense power transmission channel.

3. 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.

4. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The constraints of the grid operation base state 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.

5. 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.

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

7. The method for preventing and dispatching power grid accidents under typhoon disasters according to claim 1, characterized in that: The method of searching for an optimal solution for the accident prevention scheduling optimization model based on the typhoon disaster expected fault set and the N-1 expected fault set, and obtaining a power grid accident prevention scheduling 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 by the nonlinear programming primal-dual interior point method until the error between two adjacent optimizations meets the preset error range, and the optimal solution is output, and the power grid accident prevention scheduling optimization plan is obtained according to the optimal solution.

8. A power grid accident prevention and dispatching system under typhoon disasters, characterized in that: include: A fault set construction module is used to construct a typhoon disaster expected fault set and an N-1 expected fault set according to the typhoon impact prediction area and the regional distribution of dense transmission channels in the target area; The model building module 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; The model optimization module is used to find the optimal solution for 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.

9. An electronic device, characterized in that: The electronic device includes 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 any one of claims 1 to 7.

10. 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 as described in any one of claims 1 to 7 are implemented.

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