Dynamic response stabilization control system, power grid security and stability control method, equipment and medium

Abstract

The present application discloses a dynamic response stabilization control system, a power grid safety and stability control method, equipment and medium. The stabilization control system includes: a model construction unit, which is used to construct an objective function with the minimum wind farm cutting amount as the optimization goal, and construct the constraint conditions of the objective function according to the power generation, load, phase angle and susceptance matrix of each node of the power system to obtain a wind farm cutting optimization model; an optimization solution unit, which is used to optimize and solve the wind farm cutting optimization model according to real-time electrical parameters to obtain the connection status of the wind farm; a control unit, which is used to generate a wind farm cutting control strategy according to the connection status of the wind farm, and execute the wind farm cutting operation according to the wind farm cutting control strategy, thereby improving the technical problem that the existing stabilization control system cannot adapt to changes in system configuration and system operating status, resulting in unsatisfactory control effect and affecting the stable operation of the power system.

Description

Technical Field

[0001] The present application relates to the field of power grid security technology, and in particular to a dynamic response stabilization control system, a power grid security and stability control method, equipment, and medium. Background Art

[0002] With the establishment of the goals of "carbon peak" and "carbon neutrality", wind power generation has rapidly developed as an important new energy source. Some wind farms are located in the distribution system and feed electricity back into the transmission system. This is the opposite direction of the traditional flow of electricity from the transmission system to the distribution system. During periods of low load and high wind speeds within the threshold limit allowed by the wind farm, large reverse currents may overload the distribution and / or transmission lines, affecting the stable operation of the power system. To ensure the stable operation of the power system and avoid line overload, reducing wind power generation in the distribution system is one solution. The power grid safety and stability control system (stabilization control system) is an important facility as the second line of defense to ensure the safe and stable operation of the power grid. The stability control system can ensure the stability of the power system by cutting off the generator, shedding the load, and rapidly reducing the DC power. Therefore, the stability control system can be used to cut off some wind turbines to ensure the stable operation of the power system and avoid line overload.

[0003] Most existing stabilization and control systems control generator tripping based on either fault events or electrical parameter thresholds. These systems monitor certain fault events in the power system or compare certain electrical parameters with thresholds to take pre-set control actions. However, these stabilization and control systems cannot adapt to changes in system configuration and operating status, resulting in unsatisfactory control results and affecting power system safety. Summary of the Invention

[0004] This application provides a dynamic response stabilization control system, a power grid security and stability control method, equipment and medium, which are used to improve the technical problem that the existing stabilization control system cannot adapt to changes in system configuration and system operating status, resulting in unsatisfactory control effects and affecting the stable operation of the power system.

[0005] In view of this, the first aspect of the present application provides a dynamic response stabilization control system, comprising:

[0006] a model building unit, configured to construct an objective function with the minimum amount of wind farm curtailment as the optimization goal, construct constraint conditions of the objective function based on the power generation, load, phase angle and susceptance matrix of each node in the power system, and obtain a wind farm curtailment optimization model;

[0007] An optimization solving unit, configured to optimize and solve the wind farm generator cutting optimization model according to real-time electrical parameters to obtain a connection status of the wind farm;

[0008] A control unit is configured to generate a wind farm tripping control strategy according to the connection status of the wind farm, and execute a wind farm tripping operation according to the wind farm tripping control strategy.

[0009] Optionally, the objective function of the wind farm turbine cutting optimization model is:

[0010]

[0011] Where N is the number of wind farms connected to the power system, P Gen_i is the active power output of the i-th wind farm, x i is the connection state of the i-th wind farm, and X is the set of connection states of the wind farms connected to the grid in the power system to be solved.

[0012] Optionally, the constraints of the wind farm turbine cutting optimization model include:

[0013]

[0014] A=T*B -1 *H;

[0015] b=[m*LR1 m*LR2 … m*LR i … m*LR M ];

[0016] lb=[0 … 0 1] T ;

[0017] ub=[1 … 1 1] T ;

[0018] Where M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, of which N buses are connected to wind farms and K buses are not connected to wind farms, H is a matrix of (N+1)×(N+K) size, and each row of H represents the flow in and out of each bus; T is a matrix of (N+K)×M size, and each row of T is used to calculate the flow power on each transmission line, B is the susceptance matrix of (N+K)×(N+K) size in the power system, and LR i is the rated capacity of the i-th transmission line, ub and lb are the upper and lower boundaries of the variable X respectively, A and b are intermediate parameters, and m is the margin factor.

[0019] Optionally, when the control mode of the dynamic response stabilization system is a switching mode, x i The value of x is 0 or 1; when the control mode of the dynamic response stabilization system is the dynamic adjustment mode, i The value range of is [0,1];

[0020] Among them, 0 means disconnecting the wind farm from the power system, 1 means the wind farm is normally connected to the power system, and the real number between 0 and 1 represents the ratio of the wind farm's restricted power generation to the current maximum power generation.

[0021] A second aspect of the present application provides a power grid security and stability control method, which is applied to any dynamic response stabilization control system described in the first aspect, and the method includes:

[0022] An objective function is constructed with the minimum amount of wind farm curtailment as the optimization goal. Constraints of the objective function are constructed based on the power generation, load, phase angle, and susceptance matrix of each node in the power system to obtain a wind farm curtailment optimization model.

[0023] Optimizing and solving the wind farm cutting optimization model according to real-time electrical parameters to obtain the connection status of the wind farm;

[0024] A wind farm tripping control strategy is generated according to the connection status of the wind farm, and a wind farm tripping operation is performed according to the wind farm tripping control strategy.

[0025] Optionally, the objective function of the wind farm turbine cutting optimization model is:

[0026]

[0027] Where N is the number of wind farms connected to the power system, P Gen_i is the active power output of the i-th wind farm, x i is the connection state of the i-th wind farm, and X is the set of connection states of the wind farms connected to the grid in the power system to be solved.

[0028] Optionally, the constraints of the wind farm turbine cutting optimization model include:

[0029]

[0030] A=T*B -1 *H;

[0031] b=[m*LR1 m*LR2 … m*LR i … m*LR M ];

[0032] lb=[0 … 0 1] T ;

[0033] ub=[1 … 1 1] T ;

[0034] Where M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, of which N buses are connected to wind farms and K buses are not connected to wind farms, H is a matrix of (N+1)×(N+K) size, and each row of H represents the flow in and out of each bus; T is a matrix of (N+K)×M size, and each row of T is used to calculate the flow power on each transmission line, B is the susceptance matrix of (N+K)×(N+K) size in the power system, and LR i is the rated capacity of the i-th transmission line, ub and lb are the upper and lower boundaries of the variable X respectively, A and b are intermediate parameters, and m is the margin factor.

[0035] Optionally, when the control mode of the dynamic response stabilization system is a switching mode, x i The value of x is 0 or 1; when the control mode of the dynamic response stabilization system is the dynamic adjustment mode, i The value range of is [0,1];

[0036] Among them, 0 means disconnecting the wind farm from the power system, 1 means the wind farm is normally connected to the power system, and the real number between 0 and 1 represents the ratio of the wind farm's restricted power generation to the current maximum power generation.

[0037] A third aspect of the present application provides a power grid security and stability control device, the device comprising a processor and a memory;

[0038] The memory is used to store program code and transmit the program code to the processor;

[0039] The processor is used to execute the power grid security and stability control method described in any one of the second aspects according to the instructions in the program code.

[0040] In a fourth aspect, the present application provides a computer-readable storage medium for storing program code. When the program code is executed by a processor, the power grid security and stability control method described in any one of the second aspects is implemented.

[0041] It can be seen from the above technical solutions that this application has the following advantages:

[0042] The present application provides a dynamic response stabilization control system, comprising: a model construction unit, configured to construct an objective function with the minimum amount of wind farm curtailment as the optimization objective, construct constraint conditions of the objective function based on the power generation, load, phase angle, and susceptance matrix of each node in the power system, and obtain a wind farm curtailment optimization model; an optimization solution unit, configured to optimize and solve the wind farm curtailment optimization model based on real-time electrical parameters to obtain the connection status of the wind farm; and a control unit, configured to generate a wind farm curtailment control strategy based on the connection status of the wind farm, and execute wind farm curtailment operations according to the wind farm curtailment control strategy.

[0043] The dynamic response stabilization control system in the present application constructs an objective function with the minimum amount of wind farm curtailment as the optimization goal, so as to solve the overload situation of the transmission line while minimizing the amount of wind farm curtailment. The constraint conditions of the objective function are constructed according to the power generation, load, phase angle and susceptance matrix of each node of the power system, and a wind farm curtailment optimization model is obtained. The minimum amount of wind power curtailment is optimized and solved according to the real-time electrical parameters of the power system, and then the wind farm curtailment control strategy of the dynamic response stabilization control system is obtained to execute the wind farm curtailment operation. It can adapt to the configuration changes and system operating status changes of the power system, thereby ensuring the stable operation of the power system, and improving the technical problem that the existing stabilization control system cannot adapt to the changes in the system configuration and system operating status, resulting in unsatisfactory control effect and affecting the stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 A structural diagram of a dynamic response stabilization control system provided in an embodiment of the present application;

[0046] Figure 2 A flowchart of a power grid security and stability control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] In order to help those skilled in the art 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 accompanying drawings. 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 those skilled in the art without creative work are within the scope of protection of this application.

[0048] At present, the existing stabilization control systems mainly have the following two modes:

[0049] Fault-Event-Based Stability Control Systems: In a fault-event-based stability control system, the fault events that trigger the stability control system are based on predetermined triggering events from offline studies. During the stability control system planning process, the power system undergoes rigorous offline simulations to determine the conditions under which the stability control system must operate. The stability control system is triggered when a specific line or generator trips. This type of stability control system is deployed in scenarios where specific control actions must be taken for a given scenario and must be triggered quickly.

[0050] Electrical parameter threshold-based stabilization systems use real-time logic to monitor system parameters such as voltage, current, frequency, and power flow to detect system operating status. If any monitored electrical parameter exceeds its corresponding threshold, the stabilization system will take appropriate action. These stabilization systems are often configured based on specific system configurations or operational requirements.

[0051] These stabilization control systems monitor certain fault events or electrical parameter thresholds in the power system to take pre-set control actions. However, these stabilization control systems are unable to adapt to changes in system configuration and operating conditions. Therefore, this application provides a dynamic response stabilization control system to address this issue. The response of the stabilization control system is calculated by using the real-time electrical parameters of the power system.

[0052] For easier understanding, see Figure 1 , an embodiment of the present application provides a dynamic response stabilization control system, including:

[0053] The model building unit 101 is configured to construct an objective function with the minimum amount of wind farm curtailment as the optimization goal, construct constraint conditions of the objective function based on the power generation, load, phase angle, and susceptance matrix of each node in the power system, and obtain a wind farm curtailment optimization model;

[0054] The optimization solving unit 102 is used to optimize and solve the wind farm cutting optimization model according to the real-time electrical parameters to obtain the connection status of the wind farm;

[0055] The control unit 103 is configured to generate a wind farm tripping control strategy according to the connection status of the wind farm, and execute a wind farm tripping operation according to the wind farm tripping control strategy.

[0056] The goal of the dynamic response stabilization control system in the embodiment of the present application is to minimize the amount of wind farm shutdowns while solving the overload problem of the transmission line. Therefore, the model building unit 101 is used to build an objective function with the minimum amount of wind farm shutdowns as the optimization goal. The objective function can be specifically:

[0057]

[0058] Where N is the number of wind farms connected to the power system, P Gen_i is the active power output of the i-th wind farm, x i is the connection state of the i-th wind farm, and X is the set of connection states of the wind farms connected to the grid in the power system to be solved.

[0059] The dynamic response stabilization control system in the embodiment of the present application may be provided with two control modes to implement two control modes for the wind farm, including a switching mode and a dynamic adjustment mode.

[0060] For the switch mode, the dynamic response stability control system only controls the overall connection of the wind farm to the power system or disconnects it from the power system. In this mode, the connection state of the wind farm x i It can only be 0 or 1, where 0 indicates that the wind farm is disconnected from the power system, and 1 indicates that the wind farm is normally connected to the power system. For this mode, the wind farm curtailment problem can be regarded as a mixed integer linear programming problem.

[0061] In dynamic regulation mode, the dynamic response stabilization system controls the wind farm's power generation using a wind turbine controller installed in the wind farm's substation. In this mode, the wind farm's grid-connected state can be any real number between 0 and 1. 0 indicates complete wind farm shutdown, 1 indicates no wind farm shutdown is required, and any number between 0 and 1 represents the ratio of the wind farm's restricted power generation to its current maximum power generation. In this mode, the wind farm shutdown problem can be formulated as a linear programming problem.

[0062] The problem of wind farm curtailment can be solved by using DC power flow, establishing the following relationship:

[0063] P Gen -P Load =B*θ (2)

[0064] We can get:

[0065] θ=B -1 (P Gen -P Load ) (3)

[0066] According to the constraints of the DC power flow equation, we can get:

[0067] P ij =B ij (θ i -θ j )≤LR ij (4)

[0068] Where, PGen is the power generation matrix composed of the power generation of each node in the power system, P Load is the load matrix composed of the load of each node, B is the susceptance matrix of the power system, θ is the phase angle matrix composed of the phase angle of each node, θ i is the phase angle of the i-th node, θ j is the phase angle of the jth node, P ij is the active power on the transmission line between node i and node j, B ij is the susceptance on the transmission line between node i and node j, LR ij is the rated transmission apparent power of the transmission line between node i and node j.

[0069] In order to convert the wind farm curtailment problem into a standard linear programming problem, formula (2) and formula (4) are converted into the following form:

[0070]

[0071]

[0072] Where M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, of which N buses are connected to wind farms and K buses are not connected to wind farms, and P N+k is the outflow power of the kth (k=1,2,..,K) bus without wind power.

[0073] At this point, the linear regression standardized form of the wind farm cutting problem is as follows, that is, the wind farm cutting optimization model is:

[0074]

[0075]

[0076] A=T*B -1 *H;

[0077] b=[m*LR1 m*LR2 … m*LR i … m*LR M ];

[0078] lb=[0 … 0 1] T ;

[0079] ub=[1 … 1 1] T ;

[0080] Where M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, of which N buses are connected to wind farms and K buses are not connected to wind farms, H is a matrix of (N+1)×(N+K) size, and each row of H represents the flow in and out of each bus; T is a matrix of (N+K)×M size, and each row of T is used to calculate the flow power on each transmission line, B is the susceptance matrix of (N+K)×(N+K) size in the power system, and LR i is the rated capacity of the i-th transmission line, ub and lb are the upper and lower boundaries of the variable X respectively, A and b are intermediate parameters, and m is the margin factor.

[0081] The optimization and solution unit 102 obtains the real-time electrical parameters of the power system, including the active power output of the wind farm, the susceptance matrix, the power generation, load, phase angle, etc. of each node, optimizes and solves the wind farm cutting optimization model, solves the minimum wind farm cutting amount, and obtains the connection status of the wind farm; the control unit 103 generates a wind farm cutting control strategy based on the connection status of the wind farm, and executes the wind farm cutting operation according to the wind farm cutting control strategy. When the configuration of the power system changes and the system operating state changes, the dynamic response stabilization control system in this application can adaptively adjust according to the system response to achieve the minimum wind power cutting amount, and can calculate the transformed control strategy based on the real-time electrical parameters to achieve dynamic control.

[0082] The dynamic response stabilization system in the embodiment of the present application uses convex optimization based on DC power flow to ensure convergence. The rated capacity of the transmission line uses apparent power in MVA. In order to reduce the impact of the difference between active power and apparent power, the wind farm cutting optimization model in the embodiment of the present application involves a margin factor m, and the range of m is from 0.9 to 0.95. The results show that compared with the traditional stabilization system, depending on the system conditions, the switching mode of the dynamic response stabilization system in the embodiment of the present application can effectively reduce the amount of wind power cutting by about 30%-50%, and the dynamic adjustment mode can effectively reduce the amount of wind power cutting by about 50%-70%. For different wind farm control modes, the dynamic response stabilization system in the embodiment of the present application can provide the best solution to solve overload conditions and minimize the amount of wind power cutting.

[0083] The dynamic response stabilization control system in the embodiment of the present application constructs an objective function with the minimum amount of wind farm curtailment as the optimization goal, so as to solve the overload situation of the transmission line while minimizing the amount of wind farm curtailment. The constraint conditions of the objective function are constructed according to the power generation, load, phase angle and susceptance matrix of each node of the power system, and a wind farm curtailment optimization model is obtained. The minimum amount of wind power curtailment is optimized and solved according to the real-time electrical parameters of the power system, and then the wind farm curtailment control strategy of the dynamic response stabilization control system is obtained to execute the wind farm curtailment operation. It can adapt to the configuration changes and system operating status changes of the power system, thereby ensuring the stable operation of the power system, and improving the technical problem that the existing stabilization control system cannot adapt to the system configuration changes and system operating status changes, resulting in unsatisfactory control effect and affecting the stable operation of the power system.

[0084] The above is an embodiment of a dynamic response stabilization control system provided by the present application, and the following is an embodiment of a power grid security and stability control method provided by the present application.

[0085] Please refer to Figure 2 The present application provides a method for controlling power grid security and stability, which is applied to the dynamic response stabilization control system in the aforementioned method embodiment. The method includes:

[0086] Step 201: construct an objective function with the minimum amount of wind farm curtailment as the optimization goal, construct constraint conditions of the objective function according to the power generation, load, phase angle and susceptance matrix of each node in the power system, and obtain a wind farm curtailment optimization model.

[0087] The goal of the dynamic response stabilization control system in the embodiment of the present application is to minimize the amount of wind farm shutdown while solving the overload problem of the transmission line. Therefore, the objective function constructed with the minimum amount of wind farm shutdown as the optimization goal is:

[0088]

[0089] Where N is the number of wind farms connected to the power system, P Gen_i is the active power output of the i-th wind farm, x i is the connection state of the i-th wind farm, and X is the set of connection states of the wind farms connected to the grid in the power system to be solved.

[0090] The dynamic response stabilization control system in the embodiment of the present application is provided with two control modes to implement two control modes for the wind farm, including a switching mode and a dynamic adjustment mode.

[0091] For the switch mode, the dynamic response stability control system only controls the overall connection of the wind farm to the power system or disconnects it from the power system. In this mode, the connection state of the wind farm x iIt can only be 0 or 1, where 0 indicates that the wind farm is disconnected from the power system, and 1 indicates that the wind farm is normally connected to the power system. For this mode, the wind farm curtailment problem can be regarded as a mixed integer linear programming problem.

[0092] In dynamic regulation mode, the dynamic response stabilization system controls the wind farm's power generation using a wind turbine controller installed in the wind farm's substation. In this mode, the wind farm's grid-connected state can be any real number between 0 and 1. 0 indicates complete wind farm shutdown, 1 indicates no wind farm shutdown is required, and any number between 0 and 1 represents the ratio of the wind farm's restricted power generation to its current maximum power generation. In this mode, the wind farm shutdown problem can be formulated as a linear programming problem.

[0093] The wind farm curtailment problem can be solved by using DC power flow, and the wind farm curtailment optimization model is finally obtained as follows:

[0094]

[0095]

[0096] A=T*B -1 *H;

[0097] b=[m*LR1 m*LR2 … m*LR i … m*LR M ];

[0098] lb=[0 … 0 1] T ;

[0099] ub=[1 … 1 1] T ;

[0100] Where M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, of which N buses are connected to wind farms and K buses are not connected to wind farms, H is a matrix of (N+1)×(N+K) size, and each row of H represents the flow in and out of each bus; T is a matrix of (N+K)×M size, and each row of T is used to calculate the flow power on each transmission line, B is the susceptance matrix of (N+K)×(N+K) size in the power system, and LR i is the rated capacity of the i-th transmission line, ub and lb are the upper and lower boundaries of the variable X respectively, A and b are intermediate parameters, and m is the margin factor.

[0101] Step 202: Optimize and solve the wind farm generator switching optimization model according to the real-time electrical parameters to obtain the connection status of the wind farm.

[0102] The wind farm curtailment optimization model is optimized and solved according to the real-time electrical parameters of the power system, the minimum curtailment amount of the wind farm is solved, and the connection status of the wind farm is obtained.

[0103] Step 203: Generate a wind farm tripping control strategy according to the connection status of the wind farm, and execute a wind farm tripping operation according to the wind farm tripping control strategy.

[0104] A wind farm tripping control strategy is generated according to the connection status of the wind farm, and the wind farm tripping operation is performed according to the wind farm tripping control strategy.

[0105] In an embodiment of the present application, an objective function is constructed with the minimum amount of wind farm curtailment as the optimization goal, so as to solve the overload situation of the transmission line while minimizing the amount of wind farm curtailment. The constraint conditions of the objective function are constructed according to the power generation, load, phase angle and susceptance matrix of each node of the power system, and a wind farm curtailment optimization model is obtained. The minimum amount of wind power curtailment is optimized and solved according to the real-time electrical parameters of the power system, and then the wind farm curtailment control strategy of the dynamic response stabilization system is obtained to execute the wind farm curtailment operation. It can adapt to the configuration changes and system operating status changes of the power system, thereby ensuring the stable operation of the power system, and improving the technical problem that the existing stabilization system cannot adapt to the system configuration changes and system operating status changes, resulting in unsatisfactory control effect and affecting the stable operation of the power system.

[0106] The embodiment of the present application further provides a power grid security and stability control device, the device including a processor and a memory;

[0107] The memory is used to store program codes and transmit the program codes to the processor;

[0108] The processor is used to execute the power grid security and stability control method in the aforementioned method embodiment according to the instructions in the program code.

[0109] An embodiment of the present application further provides a computer-readable storage medium, which is used to store program code. When the program code is executed by a processor, the power grid security and stability control method in the aforementioned method embodiment is implemented.

[0110] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the method described above can refer to the corresponding process in the aforementioned device embodiment, and will not be repeated here.

[0111] The terms "first", "second", "third", "fourth", etc. (if any) in the specification 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 interchangeable where appropriate, so that the embodiments of the present application described herein can, for example, 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] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0113] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the 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] The units described as separate components may or may not be physically separate, and the 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 application may be integrated into a single processing unit, or 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 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 application 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 and includes a number of instructions for executing all or part of the steps of the method described in each embodiment of the present application 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 (English full name: Read-Only Memory, English abbreviation: ROM), random access memory (English full name: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program code.

[0117] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above 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 embodiments of the present application.

Claims

1. A dynamic response stabilization control system, characterized in that: include: a model building unit, configured to construct an objective function with the minimum amount of wind farm curtailment as the optimization goal, construct constraint conditions of the objective function based on the power generation, load, phase angle and susceptance matrix of each node in the power system, and obtain a wind farm curtailment optimization model; The constraints of the wind farm turbine curtailment optimization model include: ； ； ； ； ； Where X is the set of connection states of wind farms connected to the grid in the power system to be solved, M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, where N buses are connected to wind farms and K buses are not connected to wind farms, H is a matrix of (N+1)×(N+K) size, and each row of H represents the flow in and out of each bus; T is a matrix of (N+K)×M size, and each row of T is used to calculate the flow power on each transmission line, B is the susceptance matrix of (N+K)×(N+K) size in the power system, and LR i is the rated capacity of the i-th transmission line, ub and lb are the upper and lower boundaries of the variable X, A and b are intermediate parameters, and m is the margin factor; An optimization solving unit, configured to optimize and solve the wind farm generator cutting optimization model according to real-time electrical parameters to obtain a connection status of the wind farm; A control unit is configured to generate a wind farm tripping control strategy according to the connection status of the wind farm, and execute a wind farm tripping operation according to the wind farm tripping control strategy.

2. The dynamic response stabilization control system according to claim 1, characterized in that: The objective function of the wind farm cutting optimization model is: ； Where N is the number of wind farms connected to the power system, P Gen_i is the active power output of the i-th wind farm, x i is the connection state of the i-th wind farm, and X is the set of connection states of the wind farms connected to the grid in the power system to be solved.

3. The dynamic response stabilization control system according to claim 2, characterized in that: When the control mode of the dynamic response stabilization system is the switching mode, x i The value of x is 0 or 1; when the control mode of the dynamic response stabilization system is the dynamic adjustment mode, i The value range of is [0,1]; Among them, 0 means disconnecting the wind farm from the power system, 1 means the wind farm is normally connected to the power system, and the real number between 0 and 1 represents the ratio of the wind farm's restricted power generation to the current maximum power generation.

4. A method for controlling power grid security and stability, characterized in that: The method applied to the dynamic response stabilization control system according to any one of claims 1 to 3 includes: An objective function is constructed with the minimum amount of wind farm curtailment as the optimization goal. Constraints of the objective function are constructed based on the power generation, load, phase angle, and susceptance matrix of each node in the power system to obtain a wind farm curtailment optimization model. The constraints of the wind farm curtailment optimization model include: ； ； ； ； ； Where X is the set of connection states of wind farms connected to the grid in the power system to be solved, M is the total number of transmission lines in the power system, N+K is the total number of buses in the power system, where N buses are connected to wind farms and K buses are not connected to wind farms, H is a matrix of (N+1)×(N+K) size, and each row of H represents the flow in and out of each bus; T is a matrix of (N+K)×M size, and each row of T is used to calculate the flow power on each transmission line, B is the susceptance matrix of (N+K)×(N+K) size in the power system, and LR i is the rated capacity of the i-th transmission line, ub and lb are the upper and lower boundaries of the variable X, A and b are intermediate parameters, and m is the margin factor; Optimizing and solving the wind farm cutting optimization model according to real-time electrical parameters to obtain the connection status of the wind farm; A wind farm tripping control strategy is generated according to the connection status of the wind farm, and a wind farm tripping operation is performed according to the wind farm tripping control strategy.

5. The power grid security and stability control method according to claim 4, characterized in that: The objective function of the wind farm cutting optimization model is: ； Where N is the number of wind farms connected to the power system, P Gen_i is the active power output of the i-th wind farm, x i is the connection state of the i-th wind farm, and X is the set of connection states of the wind farms connected to the grid in the power system to be solved.

6. The power grid security and stability control method according to claim 5, characterized in that: When the control mode of the dynamic response stabilization system is the switching mode, x i The value of x is 0 or 1; when the control mode of the dynamic response stabilization system is the dynamic adjustment mode, i The value range of is [0,1]; Among them, 0 means disconnecting the wind farm from the power system, 1 means the wind farm is normally connected to the power system, and the real number between 0 and 1 represents the ratio of the wind farm's restricted power generation to the current maximum power generation.

7. A power grid security and stability control device, characterized in that: The device includes a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the power grid security and stability control method according to any one of claims 4 to 6 according to the instructions in the program code.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store program code, and when the program code is executed by a processor, the power grid security and stability control method according to any one of claims 4 to 6 is implemented.

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