A real-time recovery method, device and equipment for a power grid framework containing wind power
Patent Information
- Application Number
- CN202311092625.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-28
- Publication Date
- 2026-09-15
- Estimated Expiration
- 2043-08-28
AI Technical Summary
然而现有的自阻抗计算方法效率低且在动态优化过程中实现复杂,简化修正的方法在规模较大的网络中精度较差
[0058] This application divides the power outage restoration process into multiple time periods. By utilizing the system state of the current time period and the constructed set of secondary faults, the application uses a real-time power outage restoration model for wind power grids with wind power access points that takes into account the short-circuit ratio constraint to determine the restoration plan for the next time period. This not only improves the efficiency, real-time performance, and accuracy of the restoration, but also allows for real-time adjustment of the restoration plan. Furthermore, the stability, security, and risk resistance of the restored wind power grid are significantly improved.
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Figure CN117117967B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of power grid fault recovery technology, and more specifically, to a method, apparatus and equipment for real-time recovery of a power grid including wind power. Background Technology
[0002] As the proportion of installed wind power capacity continues to increase, high-proportion wind power will become the main source of power generation in the future power grid. Loads in grids containing wind power will be more dependent on wind power output. Therefore, during the power outage restoration process of grids containing wind power, it is necessary to consider the safe and rapid restoration of wind farms. Wind farm restoration not only needs to consider the strength of the grid structure restored at the time of wind power grid connection, but also the grid structure's tolerance and regulation capacity to the uncertain output of wind power after grid connection. In other words, it needs to consider the risks arising from the impact of uncertain wind power output on the grid structure containing wind power, such as the failure of certain components to restore or the re-failure during the restoration process.
[0003] The short-circuit capacity ratio of a wind power connection node reflects the sensitivity of the node's voltage to the injected wind power. A smaller short-circuit capacity ratio indicates a stronger ability of the system to withstand wind power disturbances. Therefore, the safety constraints of wind power grid connection can be characterized by the short-circuit capacity ratio of the wind power connection node. Existing technologies generally simplify the short-circuit capacity to obtain the relationship between the short-circuit capacity ratio and the self-impedance of the connection point. The self-impedance of grid nodes containing wind power is easy to calculate when the grid structure is fixed. However, dynamically calculating and optimizing the self-impedance of the connection point in the optimization model requires explicit expression of the self-impedance. However, existing self-impedance calculation methods are inefficient and complex to implement in dynamic optimization processes, and simplified correction methods have poor accuracy in large-scale networks.
[0004] Furthermore, in the process of power outage restoration of power grids containing wind power, current technologies mainly focus on the uncertainty of wind power output, and there is no technology to consider the impact of secondary faults in the power grid after wind power is connected. This results in low stability, weak risk resistance, and insufficient security of the restored power grid. At the same time, the existing fault restoration schemes for power grids containing wind power are cumbersome to determine, have low restoration efficiency, and cannot be applied to actual restoration scenarios. Summary of the Invention
[0005] The purpose of this application is to provide a real-time restoration method, apparatus, and equipment for a power grid containing wind power, in order to solve the above-mentioned problems existing in the prior art, improve the power outage restoration efficiency of a power grid containing wind power, enhance the support capacity of a power grid containing wind power for wind power during the power outage restoration process, and reduce the risk of load loss after wind power access during the power outage restoration of a power grid containing wind power.
[0006] Firstly, a method for real-time restoration of a power grid structure including wind power is provided, which may include:
[0007] The power outage restoration process of a power grid containing wind power is evenly divided into multiple time periods; wherein, the multiple time periods include an initial time period and multiple non-initial time periods;
[0008] Obtain the status data of all objects in the power grid structure containing wind power in the initial time period and the current time period; wherein, the current time period is any non-initial time period; all objects include: recovered objects and unrecovered objects; the status data includes: fault and non-fault; the recovered objects are those whose status data in the initial time period was faulty but whose status data in the current time period is non-faulty;
[0009] Based on the status data of all objects in the wind power grid structure during the initial and current time periods, determine all recovered objects in the wind power grid structure from the initial time period to the current time period;
[0010] For any recovered object, a secondary fault scenario is obtained by changing the state data of the recovered object to a fault and simulating the fault scenario.
[0011] By iterating through all the recovered objects, multiple secondary failure scenarios are obtained;
[0012] Based on the aforementioned multiple secondary fault scenarios, a secondary fault scenario set is constructed;
[0013] The status data of all the objects in the current time period and the set of secondary fault scenarios are input into a pre-constructed real-time power outage recovery model of the power grid containing wind power, which takes into account the short-circuit ratio constraint of the wind power access point, to obtain a real-time power outage recovery scheme for the power grid containing wind power.
[0014] The real-time power outage recovery model for a power grid containing wind power, which takes into account the short-circuit ratio constraint at the wind power access point, includes: a real-time power outage recovery objective function for a power grid containing wind power, a power flow model, a network connectivity constraint model, a short-circuit ratio constraint model at the wind power access point, and a load shedding risk calculation model.
[0015] Based on the aforementioned real-time power outage recovery scheme for power grids containing wind power, the unrecovered objects in the power grid containing wind power will be restored in the next time period after the current time period.
[0016] In an optional implementation, the objects include: nodes, generator units, and power lines; the nodes include: wind power access nodes and non-wind power access nodes.
[0017] In an optional implementation, for any recovered object, a secondary fault scenario is obtained by simulating a fault scenario by changing the state data of the recovered object to a fault, including:
[0018] Retrieve all recovered objects from the initial time period to the current time period, and the status data of all objects in the current time period within the power grid structure containing wind power;
[0019] For any recovered object, the status data of the recovered object in the status data of all objects in the current time period is changed from non-fault to fault, resulting in a secondary fault scenario.
[0020] In an optional implementation, the real-time power outage restoration scheme for the wind-powered power grid includes: restoring nodes, generators, and power lines in the next time period of the wind-powered power grid.
[0021] The nodes to be restored include: grid-connected wind power access nodes.
[0022] In an optional implementation, the target function for real-time recovery of the network structure is as follows:
[0023]
[0024] Where f represents the risk of load loss at a restored node within a power grid containing wind power; sc represents a secondary fault scenario; Indicates whether the node load is picked up in the secondary failure scenario (sc); Vi represents the load at node i; Vi represents whether node i is energized; N1 represents the set of secondary fault scenarios.
[0025] In an optional implementation, the short-circuit ratio constraint model for wind power access nodes is as follows:
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[0033] Among them, i jC I represents the current on the power line ijc; jic K represents the current on the power line JIC; N represents the set of all nodes in the power grid including wind power; 0 This represents the set of all power lines in a power grid that includes wind power; b iN represents the injected current at the node; w P represents the set of all wind power access nodes in a power grid that includes wind power; d,i This represents the per-unit value of the wind power injected and transmitted; x ijc The reactance of power line ijc is represented by z. ijc The variable representing the 0 / 1 decision of whether power line ijc should be put into operation; M is a large number; U i U represents the virtual voltage at node i; j U represents the virtual voltage at node j; f K represents the virtual voltage at the wind power grid connection node. MISCR,set This represents the multi-feed short-circuit ratio threshold.
[0034] In an optional implementation, the loss-of-load risk calculation model is as follows:
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[0046] Where K represents the power lines that have been restored in the power grid that includes wind power; B represents the active power of power line ijc under the secondary fault scenario sc; ijc This represents the admittance of the power line ijc; This represents the phase angle of node i in the secondary fault scenario sc; The z represents the phase angle of node j in the secondary fault scenario sc; ijc represents the 0 / 1 decision variable for whether power line ijc is put into operation; M represents a large number; Λ represents the set of secondary fault scenarios; Indicates the upper limit of power flow for the power line; Let ε represent the active power output of unit k under the secondary fault scenario sc; ε represents the set of directed power lines. This represents the active power of the power line JIC under the secondary fault scenario SC. Indicates whether the node load is picked up in the secondary failure scenario (sc); This represents the load at node i; Indicates whether power line ijc is disconnected under secondary fault scenario sc; V i Indicates whether node i is charged; N L N represents the total number of power lines in the power grid that includes wind power; N represents the set of all nodes in the power grid that includes wind power. This indicates the unit's output under the secondary fault scenario (sc). and P k These represent the upper and lower limits of the unit's output, respectively; G i This represents the set of units located at node i.
[0047] Secondly, a real-time restoration device for a power grid structure including wind power is provided, the device including:
[0048] A time period division unit is used to evenly divide the power outage recovery process of a power grid containing wind power into multiple time periods; wherein, the multiple time periods include an initial time period and multiple non-initial time periods;
[0049] The data acquisition unit is used to acquire the status data of all objects in the power grid structure containing wind power in the initial time period and the current time period; wherein, the current time period is any non-initial time period; all objects include: recovered objects and unrecovered objects; the status data includes: fault and non-fault; the recovered objects are those whose status data in the initial time period was faulty but whose status data in the current time period is non-faulty.
[0050] The object determination unit is used to determine all recovered objects in the wind power grid from the initial time period to the current time period based on the status data of all objects in the wind power grid in the initial time period and the current time period.
[0051] The scenario set construction unit is used to simulate a fault scenario for any recovered object by changing the state data of the recovered object to a fault, thereby obtaining a secondary fault scenario; iterates through all recovered objects to obtain multiple secondary fault scenarios; and constructs a secondary fault scenario set based on the multiple secondary fault scenarios.
[0052] The scheme determination unit is used to input the status data of all objects in the current time period and the set of secondary fault scenarios into a pre-constructed real-time power outage recovery model of the power grid containing wind power, taking into account the short-circuit ratio constraint of the wind power access point, to obtain a real-time power outage recovery scheme for the power grid containing wind power; wherein, the real-time power outage recovery model of the power grid containing wind power, taking into account the short-circuit ratio constraint of the wind power access point, includes: a real-time power outage recovery objective function for the power grid containing wind power, a power flow model, a network connectivity constraint model, a short-circuit ratio constraint model for wind power access nodes, and a load shedding risk calculation model;
[0053] The recovery unit is used to restore the unrestored objects in the power grid containing wind power in the next time period, based on the real-time power outage recovery scheme for the power grid containing wind power.
[0054] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;
[0055] Memory, used to store computer programs;
[0056] When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.
[0057] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.
[0058] This application divides the power outage restoration process into multiple time periods. By utilizing the system state of the current time period and the constructed set of secondary faults, the application uses a real-time power outage restoration model for wind power grids with wind power access points that takes into account the short-circuit ratio constraint to determine the restoration plan for the next time period. This not only improves the efficiency, real-time performance, and accuracy of the restoration, but also allows for real-time adjustment of the restoration plan. Furthermore, the stability, security, and risk resistance of the restored wind power grid are significantly improved.
[0059] The load shedding risk calculation model of this application dynamically calculates the load shedding risk caused by line interruption based on the topology of the wind-powered power grid during the restoration process. It uses the minimum load shedding risk as the objective function and improves the power transmission capacity of the system by constructing a ring network, thereby enhancing the safety of the wind-powered power grid. At the same time, the power flow model of this application ensures the stability of the ground state power flow of the wind-powered power grid.
[0060] The network connectivity constraint model in this application is a node-level constraint model, which ensures the connectivity of the system grid and has high computational efficiency. The wind power access node short-circuit ratio constraint model in this application can not only reflect the dynamic changes of the grid structure containing wind power in real time, accurately and simply, but also improve the support capacity of the grid structure containing wind power for wind power during power outage recovery, reduce the risk of load loss after wind power access during power outage recovery of the grid containing wind power, and thus improve the power outage recovery efficiency of the grid structure containing wind power. Attached Figure Description
[0061] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0062] Figure 1 A flowchart illustrating a real-time restoration method for a power grid structure containing wind power, provided as an embodiment of this application;
[0063] Figure 2 A schematic diagram of the initial network structure of an IEEE 39-node power system is provided for an embodiment of this application;
[0064] Figure 3 A schematic diagram of the restored IEEE 39-node power system network based on a real-time restoration method for a power grid network including wind power, provided in an embodiment of this application.
[0065] Figure 4 A schematic diagram of an IEEE 39-node power system network considering only short-circuit ratio recovery is provided in this application embodiment;
[0066] Figure 5 A schematic diagram of the structure of a real-time restoration device for a power grid structure containing wind power, provided for an embodiment of this application;
[0067] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0068] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.
[0069] The IEEE 39-bus power system is a typical power system used for simulation testing.
[0070] Power lines are a collective term for transmission lines and power delivery lines.
[0071] The real-time recovery method for wind-powered power grids provided in this application can be applied to servers or terminals with strong computing capabilities. The server can be a physical server, a server cluster consisting of multiple physical servers, or a distributed wind-powered power grid. It can also be a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. The terminal can be a user equipment (UE) such as a mobile phone, smartphone, laptop, digital radio receiver, personal digital assistant (PDA), tablet computer (PAD), handheld device, in-vehicle device, wearable device, computing device, or other processing device connected to a wireless modem, mobile station (MS), or mobile terminal. The terminal and server can be directly or indirectly connected via wired or wireless communication methods, which is not limited herein.
[0072] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.
[0073] Figure 1 This is a flowchart illustrating a real-time restoration method for a wind power grid structure provided in an embodiment of this application. Figure 1 As shown, the method may include:
[0074] Step S110: Divide the power outage restoration process of the power grid containing wind power into multiple time periods.
[0075] In the embodiments of this application, the multiple time periods include an initial time period and multiple non-initial time periods.
[0076] Step S120: Obtain the status data of all objects in the grid structure containing wind power during the initial time period and the current time period; based on the status data of all objects in the grid structure containing wind power during the initial time period and the current time period, determine all recovered objects in the grid structure containing wind power from the initial time period to the current time period.
[0077] In this embodiment, all objects in the wind power grid include restored objects and unrestored objects. Specifically, restored objects include nodes, turbines, and power lines in the wind power grid; unrestored objects include nodes, turbines, and power lines in the wind power grid. Nodes include wind power access nodes and non-wind power access nodes.
[0078] In this embodiment, the initial time period is when the power grid containing wind power experiences an initial fault; the current time period is any non-initial time period. That is, the method of this application is not applied when the power grid containing wind power experiences an initial fault, but rather after a period of recovery following a fault in the power grid containing wind power.
[0079] In this embodiment, all object state data includes fault and non-fault states. Specifically, the state data in this application is actually a state vector, which is a 0 / 1 vector. When it is 0, it indicates that the object is in a fault state; when it is 1, it indicates that the object is in a non-fault state (i.e., normal operation state). Specifically, in the initial period, all objects are in an unrecovered state by default. That is, in the initial period of a power grid structure including wind power, all objects are unrecovered objects; the state vector of all objects is 0, that is, in a fault state.
[0080] In this embodiment, recovered objects are those whose initial time period status data shows a fault but whose current time period status data shows no fault; unrecovered objects are those whose initial time period status data shows a fault and whose current time period status data shows a fault. Therefore, based on the acquired status data of all objects in the initial and current time periods, all recovered objects in the wind power grid are determined from the initial time period to the current time period, i.e., all objects in the wind power grid whose initial time period status data shows a fault but whose current time period status data shows no fault are determined. Among these, all recovered objects include: recovered nodes, generator units, and power lines in the wind power grid.
[0081] Step S130: For any recovered object, a secondary fault scenario is obtained by changing the status data of the recovered object to a fault.
[0082] In this embodiment of the application, for any recovered object, a secondary fault scenario is obtained by changing the state data of the recovered object to a fault and simulating the fault scenario, including:
[0083] Obtain all recovered objects from the initial time period to the current time period in the power grid structure containing wind power, and the status data of all objects in the current time period; for any recovered object, change the status data of the recovered object in the status data of all objects in the current time period from non-fault to fault, to obtain a secondary fault scenario.
[0084] For example, a wind-powered power grid consists of 2 nodes, 2 turbines, and 4 power lines. In the initial time period (t0), all nodes, turbines, and power lines in the wind-powered power grid experience failures. At this time, the status data of all objects in the wind-powered power grid is 0 (0 indicates a failure). Assuming the current time period is t5, between t0 and t5, a total of 1 node, 1 turbine, and 1 power line have been restored. At this point, the status data of the restored node, turbine, and power line is 1, and the status data of the remaining node, turbine, and 3 power lines is 0. Now, starting from the restored 1... Choose one of the following: a node, a generator unit, and a power line. Assuming a restored node is selected, its state data changes to 0. The state data of the restored generator unit and power line remain 1. The state data of the unrestored node, generator unit, and three power lines also remain 0. The multi-dimensional state vector composed of the state data of the two nodes, two generator units, and four power lines in the wind-powered grid constitutes a secondary fault scenario. The restored node, generator unit, or power line whose state data is modified in this secondary fault scenario can be called the secondary fault node, secondary fault generator unit, or secondary fault power line. The secondary fault scenario in this application is actually a simulated fault scenario; it does not represent a recurrence of a fault in an object that has already been restored in the actual power grid, but rather a simulation of a fault occurring in an object that has already been restored.
[0085] Step S140: Traverse all recovered objects to obtain multiple secondary fault scenarios; construct a secondary fault scenario set based on the multiple secondary fault scenarios.
[0086] In this embodiment, the secondary fault scenario set is actually constructed based on the N-1 check method. That is, the state of only one recovered object is changed each time, so as to obtain the same number of secondary fault scenarios as the number of recovered objects, and construct the secondary fault scenario set.
[0087] For example, if the total number of recovered objects is 10, then there will be 10 corresponding secondary failure scenarios, and the resulting set of secondary failure scenarios will contain 10 secondary failure scenarios.
[0088] Step S150: Input the status data of all objects in the current time period and the set of secondary fault scenarios into the pre-constructed real-time power outage recovery model of the power grid containing wind power, which takes into account the short-circuit ratio constraint of the wind power access point, to obtain the real-time power outage recovery scheme of the power grid containing wind power.
[0089] In this embodiment, for wind-powered power grids with a high proportion of wind power penetration, after initial black start and the formation of a local backbone grid through grid reconstruction, the grid restoration of wind power needs to be considered. Furthermore, given that the grid structure of wind-powered power grids at this stage is generally tree-like, any subsequent failure of any component will cause significant load shedding and disconnection. Therefore, considering the strength requirements of the AC grid for wind power grid connection and the improvement of the grid's resilience against secondary faults during the recovery phase, this application proposes a real-time power outage restoration model for wind-powered power grids that considers the short-circuit ratio at wind power access nodes and the secondary faults of wind-powered power grids. Specifically, the real-time power outage restoration model for wind-powered power grids that considers the short-circuit ratio at wind power access nodes includes: a real-time grid restoration objective function, a power flow model, a network connectivity constraint model, a short-circuit ratio constraint model at wind power access nodes, and a load shedding risk calculation model.
[0090] In this embodiment, the objective function for real-time grid recovery is to minimize the risk of load loss at the recovered energized nodes within the grid containing wind power, as follows:
[0091]
[0092] Where f represents the risk of load loss at a restored node within a power grid containing wind power; sc represents a secondary fault scenario; Indicates whether the node load is picked up in the secondary failure scenario (sc); V represents the load at node i; i Indicates whether node i is energized; N1 represents the set of secondary fault scenarios.
[0093] Specifically, when a node, generator set, or power line is in a non-faulty state, it means that the node, generator set, or power line is energized or can be put into operation; when a node, generator set, or power line is in a non-faulty state, it means that the node, generator set, or power line is not energized or cannot be put into operation.
[0094] In this embodiment, during the grid reconfiguration phase of a grid containing wind power, in addition to ensuring the stability of the ground-state power flow of the grid containing wind power, it is also necessary to ensure the connectivity of the grid structure. Traditionally, connectivity constraints for grids containing wind power can be modeled using network flow models, but these models often suffer from low solution rates when dealing with large-scale grids containing wind power. This application employs a node-level constraint model to ensure the connectivity of the grid containing wind power. The mathematical expressions for the ground-state power flow and connectivity constraints of the grid containing wind power are as follows:
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[0108] Among them, the node-level constraint model assigns levels to nodes in the power grid containing wind power and abstracts the network topology into a directed graph; B represents the ground-state power flow on power line ijc; ijc This represents the admittance of the power line ijc; θ represents a sufficiently large number representing the ground-state power flow; j θ represents the phase angle of node j. i The z-angle represents the phase angle of node i; ijc The variable representing the 0 / 1 decision of whether power line ijc is put into operation; ε represents the set of directed power lines; P k Indicates the unit's output; This represents the ground-state power flow on the power line JIC; and P k These represent the upper and lower limits of the unit's output, respectively; w ijc With w jic These are 0 / 1 variables representing whether the directed power line ijc or jic is in operation; The variable is 0 / 1, and is 1 when any power line ijc connected to node i is put into operation; N represents all nodes in the power grid including wind power; N B Indicates the node where the black starter unit is located; H i H represents the level of node i; j Let N represent the level of node j. If there exists a directed power line ijc, then the level of node i is higher than the level of node j; NN represents the number of grid nodes in a power grid that includes wind power. R Indicates the number of power lines that can be put into operation during the recovery period; G i Let i represent the set of generator sets located at node i.
[0109] Formulas (2) to (8) constitute the ground state power flow of the grid structure containing wind power, formulas (9) to (13) constitute the constraints to ensure the connectivity of the grid structure containing wind power, and formula (14) constrains the number of power lines that can be put into operation in the grid structure containing wind power during the recovery period.
[0110] In this embodiment, although the normally operating wind-powered power grid is fixed, the short-circuit ratio of each wind power access node can be calculated once the wind power grid structure is determined. However, during the restoration process of the wind power grid reconfiguration, the switching of power lines is a variable that needs to be decided. The wind power grid structure is dynamically determined during the restoration process. Therefore, when wind power is connected to the grid, it is necessary to consider whether the current wind power grid structure has a sufficiently large short-circuit ratio to support the safe startup of the wind power receiving-end converter.
[0111] The short-circuit ratio of wind power access nodes is related to the impedance of the grid nodes containing wind power, which can be obtained by constructing a pure reactance equivalent network with similar topology but different parameters to the original network. The self-impedance of the grid containing wind power is directly related to the switching of power lines and the commissioning status of the units in the grid containing wind power. Therefore, during the recovery phase of the grid containing wind power, the short-circuit ratio of wind power access nodes can be restored by switching of power lines and commissioning of units.
[0112] During the reconfiguration and restoration of a power grid containing wind power, the grid structure is dynamically changing. The switching status of power lines must be reflected in the voltage-current relationship of the wind-power-integrated grid. Specifically, when power lines are in operation, Kirchhoff's laws must be satisfied; when power lines are disconnected, the current on the power lines must be zero. To maintain the linearity of the model, the Big M relaxation method is used to ensure that the branch currents or power flows satisfy Kirchhoff's laws under different operating states of the power lines. Therefore, the mathematical expression of the short-circuit ratio constraint model for wind power access nodes during the grid restoration process is as follows:
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[0120] Among them, I ijc I represents the current on the power line ijc; jic Indicates the current on the power line JIC; b i This represents the injected current at node i, for wind power access node N. w b i The value is equal to the per-unit value P of the wind power injection transmission power. d,i For other nodes b i The value of K is 0; 0 This represents all power lines in a power grid that includes wind power; x ijc The reactance of power line ijc is represented by M, which is a sufficiently large number; U i U represents the virtual voltage at node i; j U represents the virtual voltage at node j; f K represents the virtual voltage at the wind power grid connection node. MISCR,set This represents the set ideal multi-feed short-circuit ratio threshold, which is typically set to 3.
[0121] Among them, formula (15) is KCL law; formula (16) ensures that there is a current source injection only at the converter bus in the equivalent network; formula (17) indicates that nodes other than the ground node and the wind power access node satisfy current balance; formulas (18) and (19) are Ohm's law; formula (20) is the power line capacity constraint; formula (21) is the wind power access node short-circuit ratio constraint expressed in terms of node voltage. When the power line ijc is put into operation, z ijc =1, at this time formulas (18) and (19) will change the current I ijc Constraint I ijc =(U i -U j ) / x ijc Formula (20) is relaxed; when the power line ijc is disconnected, z ijc =0, formulas (18) and (19) are relaxed, and formula (20) constrains the current on the power line ijc to 0.
[0122] In this embodiment, during the mid-stage of grid restoration, the backbone grid of the power grid including wind power has been basically established. To quickly supply power to units that do not have black start capability, the grid at this time is generally a tree structure. Under the tree structure, power fluctuations caused by wind power grid connection can easily lead to power line overload, causing the restored power lines to disconnect again, resulting in power flow reversal, and even triggering cascading failures that cause the grid containing wind power to collapse again, greatly affecting the restoration process of the grid containing wind power and threatening the safe restoration of the grid containing wind power.
[0123] To address the potential secondary faults caused by wind power grid connection during the mid-term reconfiguration of power grids containing wind power, this application proposes a secondary fault risk model based on N-1 verification. During the restoration process of power grids containing wind power, the model dynamically calculates the risk of load loss due to power line interruptions based on the power grid topology. The model uses the minimum load loss risk as the objective function and improves the power transmission capacity and security of power grids containing wind power by constructing a ring network.
[0124] Specifically, the mathematical expression of the loss-of-load risk calculation model is as follows:
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[0135]
[0136] Where K represents the power lines that have been restored in the power grid that includes wind power; This represents the active power of power line ijc under the secondary fault scenario sc; This represents the phase angle of node i in the secondary fault scenario sc; This represents the phase angle of node j in the secondary fault scenario sc; This indicates whether power line ijc is disconnected under secondary fault scenario sc; Λ represents the N-1 set of secondary fault scenarios; This is the upper limit of power flow for power lines; V represents the active power output of unit k under the secondary fault scenario sc; i Indicates whether node i is charged; N L This indicates the total number of power lines in the power grid that include wind power. This indicates the unit's output under the secondary fault scenario (sc). This represents the active power of the power line jic under the secondary fault scenario sc.
[0137] Formulas (22) to (24) complete the power flow expression for power lines in a grid containing wind power under scenarios of power line interruption and secondary faults. Under secondary fault scenario sc, if the power line is in operation and is not in the secondary fault scenario cluster, that is... The power flow exists and is approximated by DC power flow; if the power line is in operation or is a secondary fault power line under secondary fault scenario sc, that is... The power flow on power line ijc is constrained to 0. Formula (25) is the node power flow balance equation. In the N-1 fault scenario, if the grid structure cannot bear the grid load containing wind power before the fault, the load on that node will be cut off, i.e. Formulas (26) and (27) ensure that the phase angle difference between the two ends of the power line in operation is within a certain range, thereby ensuring the accuracy of DC power flow linearization. However, this constraint is not required for power lines that are not in operation. If the approximate constraint of DC power flow under different power line switching states is not considered, the approximate accuracy will be lost, and a solution that does not conform to the actual operating conditions may be generated. In addition, if the constraint of the phase angle difference between the two ends is considered, but the constraint is invalid after the power line is disconnected, it will bring redundant burden to the solution and cause a non-optimal solution. Formulas (28) and (29) reflect the energized state of the node through the power line switching state. If any power line connected to the node is in operation, the node will be energized. Only when all power lines connected to the node are not in operation will the node not be energized. Formulas (30) and (31) are the upper and lower limits of the node phase angle and the upper and lower limits of the unit output, respectively. Formula (32) indicates that the load can only be picked up when the node is energized.
[0138] In this embodiment, the real-time power outage restoration scheme for a wind-powered power grid includes: restoring nodes, generating units, and power lines in the next time period of the wind-powered power grid. Specifically, the restored nodes include grid-connected wind power access nodes. The grid-connected wind power access nodes refer to whether the wind power access nodes in the wind-powered power grid are connected to the grid in the next time period.
[0139] Step S160: Based on the real-time power outage recovery scheme for power grids containing wind power, restore the unrestored objects in the power grid containing wind power in the next time period of the current time period.
[0140] In this embodiment, the process of restoring grid faults in a grid containing wind power is divided into multiple time periods, with each time period determining the restoration plan for the next time period, thereby ensuring the real-time nature of the restoration plan. At the same time, the overall process of restoring grid faults in a grid containing wind power is transformed into a dynamic, iterative process of executing the restoration plan, ensuring the efficiency and effectiveness of the overall restoration.
[0141] The technical effects of this application will be further explained below with reference to simulation experiments.
[0142] To demonstrate the effectiveness of the recovery strategy proposed in this application, a recovery model of a wind-powered grid structure containing wind power and its secondary faults was built on the GAMS platform, and solved using the GUROBI solver. All tests were conducted on a PC configured with an Intel(R) Core(TM) i7-11800H CPU and 16.00GB of memory.
[0143] The real-time power outage recovery model for wind-powered power grids in this application, which takes into account the short-circuit ratio constraint at the wind power access point, was tested using the IEEE 39-bus power system. Figure 2 The initial grid structure of the IEEE 39-node power system is shown. The initial grid structure of the IEEE 39-node power system simulates the actual power grid structure including wind power during the power outage recovery process. That is, the initial grid structure of the IEEE 39-node power system is the IEEE 39-node power system grid structure in the non-initial period. Therefore, the initial grid structure of the IEEE 39-node power system includes both power lines or nodes that have been restored after the fault and power lines or nodes that have not been restored after the fault.
[0144] Specifically, the IEEE 39-node power system includes 20 operational power lines and 21 energized nodes. Among the 21 energized nodes, there are 5 generator nodes and 3 wind farm access nodes; the remaining power lines, nodes and generators have not been restored after failures. Figure 2 The medium gray lines represent power lines and nodes that have been restored after a fault, while the solid black lines represent power lines, nodes, and units that have not been restored after a fault; G represents a unit; W represents a wind power access node; arrows represent loads; numbers 1 to 39 represent 39 nodes in a power grid that includes wind power.
[0145] Under the initial grid structure of the IEEE 39-node power system, based on the short-circuit ratio constraint model and load loss risk calculation model of the wind power access node in the real-time power outage recovery model of the wind power grid including wind power access point considering the short-circuit ratio constraint of the wind power access point in this application, the short-circuit ratio of each wind farm access node and the distribution of load loss risk caused by secondary faults are obtained. As shown in Table 1, the short-circuit ratios of the wind power receiving ends where nodes 8, 14, and 18 are located are all less than 3. At this time, even if there is a transmission path to the wind power receiving end, it is not safe to connect to the grid. In addition, observing the distribution of load loss risk due to secondary faults in Table 2, it can be seen that under the tree-shaped grid structure, the failure of any component of the wind power grid may cause a large amount of load loss.
[0146] Table 1. MISCR of wind power access nodes under the initial grid structure
[0147] Short-circuit ratio at access point 2.5249 2.3726 2.9124
[0148] Table 2. Distribution of load loss risk in the initial grid structure followed by subsequent failures.
[0149]
[0150] In Table 2, when the secondary fault set is 1, the faulty power line number is 1-2-1, and the load loss risk is 1104, it means that in the secondary fault scenario numbered 1, when the power line 1-2-1 fails, the load loss risk of the power grid including wind power is 1104MW.
[0151] Assuming the given recovery resources for a wind-powered power grid in the next time period are four power lines, the key to the recovery strategy is selecting which power lines in the grid can be put into operation to maximize the short-circuit ratio at the wind power receiving end and reduce the risk of secondary faults in the wind-powered power grid. The method of this application is used to... Figure 2 The initial grid structure of a power grid including wind power is restored. Under the constraint of given restoration resources, the target grid structure of the power grid including wind power is restored, and the new target grid structure is as follows. Figure 3 As shown. Based on the initial power grid, the restored power grid adds four power lines, namely... Figure 3 The gray dashed lines represent power lines. At this point, the power grid including wind power has 24 operational power lines, containing 23 energized nodes, forming two independent ring networks: 1-39-9-8-5-4-3-2-1 and 4-5-6-11-10-13-14-4.
[0152] As shown in Table 3, the short-circuit ratios of wind power access nodes 8, 14, and 18 under the restored grid structure are 3.02, 3.00, and 3.15, respectively, all greater than or equal to 3. This indicates that a relatively robust AC grid structure has been established for the wind power access nodes, capable of supporting safe grid connection of wind power and resisting wind power output fluctuations within a certain range. Furthermore, by constructing a ring network, the secondary fault risk resistance capability of the grid structure containing wind power is significantly enhanced. Table 4 shows the reduction in load loss risk and risk compared to the initial grid structure under various secondary fault scenarios for the grid structure containing wind power.
[0153] Table 3. MISCR of wind power access nodes under the comprehensive recovery plan
[0154] Short-circuit ratio at access point 3.0222 3.0003 3.1530
[0155] Table 4. Distribution of power grid load loss including wind power under the comprehensive recovery plan.
[0156]
[0157]
[0158] In Table 4, when the secondary fault set is 1, the faulty power line number is 1-2-1, and the load loss risk is 0, the load loss risk is reduced to 100 compared to the initial grid structure. This means that in the secondary fault scenario numbered 1, when the power line 1-2-1 fails, the load loss risk of the grid structure containing wind power is 0MW. At this time, the load loss risk of the grid structure containing wind power is reduced by 100% compared to the load loss risk of the same secondary fault set and the same faulty power line in the initial grid structure.
[0159] The percentage reduction in load risk for each secondary fault set compared to the initial grid structure in Table 4 is obtained by subtracting the load loss risk of the same secondary fault set in Table 4 from the load loss risk of the secondary fault set in Table 2, and then dividing by the load loss risk of the same secondary fault set in Table 2. For example, in Table 4, secondary fault set 1, faulty power line number 1-2-1, has a load loss risk of 0; corresponding to Table 2, secondary fault set 1, faulty power line number 1-2-1, has a load loss risk of 1104. Therefore, the reduction in load risk for secondary fault set 1 compared to the initial grid structure in Table 4 is (1104-0) / 1104 = 1. Multiplying this reduction by 100% gives the percentage reduction in load risk for secondary fault set 1 compared to the initial grid structure.
[0160] If only the short-circuit ratio recovery at the wind power access node is considered, without considering the secondary fault risk of the power grid containing wind power (i.e., excluding the load shedding risk calculation model in the real-time power outage recovery model of the power grid containing wind power that takes into account the short-circuit ratio constraint at the wind power access point), the resulting real-time recovery scheme for the target power grid is as follows: Figure 4The power lines represented by the gray dashed lines are shown in Table 5. Unlike the scheme that comprehensively considers the short-circuit ratio and secondary fault risk at wind power access nodes, this scheme puts power lines 25-37 and 14-15 into operation, while power lines 13-14 and 12-13 are not in operation. Power lines 8-9 and 9-39 are consistent with the comprehensive scheme. Additionally, the turbine at node 37 is restored. The expected short-circuit ratio and secondary fault risk at wind power access nodes for the original grid structure, the comprehensive scheme, and the scheme that only considers short-circuit ratio restoration are shown in Table 5.
[0161] Table 5 Short-circuit ratio and expected secondary fault risk under different recovery schemes
[0162]
[0163] Table 5 presents the short-circuit ratio values for nodes 8, 14, and 18 under the initial grid structure, comprehensive restoration (i.e., using the real-time power outage restoration model of the wind power grid including wind power access point short-circuit ratio constraints of this application), and short-circuit ratio restoration only (i.e., excluding the load loss risk calculation model in the real-time power outage restoration model of the wind power grid including wind power access point short-circuit ratio constraints). The comparison reveals that, in terms of short-circuit ratio restoration, the scheme using short-circuit ratio as the objective function yields a grid structure with stronger support for wind power access nodes, but it differs significantly from the comprehensive scheme in terms of secondary fault risk restoration. The restored grid topology also shows that, to achieve a larger short-circuit ratio, the scheme that only restored the short-circuit ratio commissioned power lines 25-37, adding unit current sources that contribute short-circuit capacity to the wind power grid.
[0164] However, in actual restoration operations, on the one hand, it is necessary to consider the short-circuit ratio at the receiving end of the grid, such as wind power connected to the grid via converters. On the other hand, it is even more important to consider the ability of the grid structure containing wind power to resist the risk of secondary faults during the restoration process. Otherwise, even if the grid structure containing wind power can withstand the fluctuations in wind power output, when encountering secondary faults, it will still be unable to cut off a large amount of load due to the lack of a sufficiently robust grid structure containing wind power, and may even cause the already connected wind power access nodes to fall off again, delaying the restoration process of the grid structure containing wind power.
[0165] This application presents a short-term target grid restoration optimization method considering both wind power grid connection safety constraints and the impact of secondary faults. First, it uses the short-circuit ratio of wind power access nodes to characterize the wind power grid connection safety constraints and analyzes the relationship between the short-circuit ratio of wind power access nodes and the dynamic grid structure during system restoration. A mathematical model of the short-circuit ratio of wind power access nodes in grid restoration involving wind power is established. Second, using the short-circuit ratio of wind power access nodes as a constraint and minimizing the risk of load loss due to secondary faults as the objective function, a mixed-integer linear programming model is established. Finally, in the IEEE-39 node system, a GAMS solver is used to solve a numerical example, obtaining the optimal target grid structure that satisfies the short-circuit ratio constraint of wind power access nodes and minimizes the risk of secondary faults under given restoration resources, thus verifying the effectiveness of this application.
[0166] Corresponding to the above method, this application embodiment also provides a real-time restoration device for a power grid structure including wind power, such as... Figure 5 As shown, the device includes:
[0167] The time period division unit 510 is used to evenly divide the power outage restoration process of the power grid containing wind power into multiple time periods; wherein, the multiple time periods include an initial time period and multiple non-initial time periods;
[0168] The data acquisition unit 520 is used to acquire the status data of all objects in the power grid structure containing wind power in the initial time period and the current time period; wherein, the current time period is any non-initial time period; all objects include: recovered objects and unrecovered objects; status data includes: fault and non-fault; recovered objects are objects whose status data in the initial time period is faulty but whose status data in the current time period is non-faulty.
[0169] The object determination unit 530 is used to determine all recovered objects in the wind power grid from the initial time period to the current time period based on the status data of all objects in the wind power grid in the initial time period and the current time period.
[0170] The scenario set construction unit 540 is used to simulate a fault scenario for any recovered object by changing the state data of the recovered object to a fault, thereby obtaining a secondary fault scenario; iterates through all recovered objects to obtain multiple secondary fault scenarios; and constructs a secondary fault scenario set based on the multiple secondary fault scenarios.
[0171] The scheme determination unit 550 is used to input the status data of all objects in the current time period and the set of secondary fault scenarios into a pre-constructed real-time power outage recovery model of the power grid containing wind power, which takes into account the short-circuit ratio constraint of the wind power access point, to obtain the real-time power outage recovery scheme of the power grid containing wind power. The real-time power outage recovery model of the power grid containing wind power, which takes into account the short-circuit ratio constraint of the wind power access point, includes: the objective function for real-time power outage recovery of the power grid containing wind power, the power flow model, the network connectivity constraint model, the short-circuit ratio constraint model of the wind power access node, and the load loss risk calculation model.
[0172] Recovery unit 560 is used for real-time power outage recovery scheme based on power grid structure with wind power, to restore objects in the power grid structure with wind power that have not been restored in the next time period of the current time period.
[0173] The functions of each functional unit in the real-time restoration device for wind-powered grid structures provided in the above embodiments of this application can be implemented through the above-described method steps. Therefore, the specific working process and beneficial effects of each unit in the real-time restoration device for wind-powered grid structures provided in the embodiments of this application will not be repeated here.
[0174] This application also provides an electronic device, such as... Figure 6 As shown, it includes a processor 610, a communication interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other through the communication bus 640.
[0175] Memory 630 is used to store computer programs;
[0176] When the processor 610 executes the program stored in the memory 630, it performs the following steps:
[0177] The power outage restoration process of a power grid containing wind power is evenly divided into multiple time periods; these multiple time periods include an initial time period and multiple non-initial time periods.
[0178] Retrieve the status data of all objects in the power grid structure containing wind power in the initial time period and the current time period; where the current time period is any non-initial time period; all objects include: recovered objects and unrecovered objects; status data includes: fault and non-fault; recovered objects are those whose status data was faulty in the initial time period but whose status data is non-faulty in the current time period;
[0179] Based on the status data of all objects in the wind power grid structure at the initial time period and the current time period, determine all recovered objects in the wind power grid structure from the initial time period to the current time period;
[0180] For any recovered object, a secondary fault scenario is obtained by changing the state data of the recovered object to a fault.
[0181] By iterating through all recovered objects, multiple secondary failure scenarios are obtained;
[0182] A set of secondary fault scenarios is constructed based on multiple secondary fault scenarios;
[0183] Input the status data of all objects in the current time period and the set of secondary fault scenarios into a pre-constructed real-time power outage recovery model of the power grid containing wind power, which takes into account the short-circuit ratio constraint of the wind power access point, to obtain a real-time power outage recovery scheme for the power grid containing wind power.
[0184] Among them, the real-time power outage recovery model for power grids with wind power, which takes into account the short-circuit ratio constraint at the wind power access point, includes: the objective function for real-time power outage recovery of power grids with wind power, the power flow model, the network connectivity constraint model, the short-circuit ratio constraint model at the wind power access point, and the load shedding risk calculation model;
[0185] Based on the real-time power outage restoration scheme for power grids containing wind power, the unrestored objects in the power grid containing wind power will be restored in the next time period after the current time period.
[0186] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.
[0187] The communication interface is used for communication between the aforementioned electronic devices and other devices.
[0188] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.
[0189] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.
[0190] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.
[0191] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform any of the real-time restoration methods for wind power grids in the above embodiments.
[0192] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute any of the real-time restoration methods for wind power grids in the above embodiments.
[0193] Those skilled in the art will understand that the embodiments in this application can be provided as methods, wind power grid structures, or computer program products. Therefore, the embodiments in this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0194] This application describes embodiments of methods, apparatus (including wind power grid structures), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0195] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0196] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0197] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.
[0198] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims in this application and their equivalents, then this application also intends to include these modifications and variations.
Claims
1. A method for real-time restoration of a power grid structure containing wind power, characterized in that, The method includes: The power outage restoration process of a power grid containing wind power is evenly divided into multiple time periods; wherein, the multiple time periods include an initial time period and multiple non-initial time periods; Obtain the status data of all objects in the power grid structure containing wind power in the initial time period and the current time period; wherein, the current time period is any non-initial time period; all objects include: recovered objects and unrecovered objects; the status data includes: fault and non-fault; the recovered objects are those whose status data in the initial time period was faulty but whose status data in the current time period is non-faulty; Based on the status data of all objects in the wind power grid structure during the initial and current time periods, determine all recovered objects in the wind power grid structure from the initial time period to the current time period; For any recovered object, a secondary fault scenario is obtained by changing the state data of the recovered object to a fault and simulating the fault scenario. By iterating through all the recovered objects, multiple secondary failure scenarios are obtained; Based on the aforementioned multiple secondary fault scenarios, a set of secondary fault scenarios is constructed; The status data of all the objects in the current time period and the set of secondary fault scenarios are input into a pre-constructed real-time power outage recovery model of the power grid containing wind power, which takes into account the short-circuit ratio constraint of the wind power access point, to obtain a real-time power outage recovery scheme for the power grid containing wind power. The real-time power outage recovery model for a power grid including wind power, taking into account the short-circuit ratio constraint at the wind power access point, includes: a real-time power outage recovery objective function for a power grid including wind power, a power flow model, a network connectivity constraint model, a short-circuit ratio constraint model for wind power access nodes, and a load shedding risk calculation model; the short-circuit ratio constraint model for wind power access nodes is as follows: ; ; ; ; ; ; ; in, Indicates power lines Current on; Indicates power lines The current flowing through it; N represents the set of all nodes in the power grid containing wind power; This represents the set of all power lines in a power grid that includes wind power. Represents a node Injected current; This represents the set of all wind power access nodes in a power grid that includes wind power. This represents the per-unit value of the wind power injected and transmitted. Indicates power lines The reactance; Indicates power lines The 0 / 1 decision variable for whether to put the system into operation; It is a large number; Represents a node The virtual voltage; Represents a node Virtual voltage; This represents the virtual voltage at the wind power access node; Indicates the multi-feed short-circuit ratio threshold; Based on the aforementioned real-time power outage recovery scheme for power grids containing wind power, the unrecovered objects in the power grid containing wind power will be restored in the next time period after the current time period.
2. The method as described in claim 1, characterized in that, The objects include: nodes, generating units, and power lines; the nodes include: wind power access nodes and non-wind power access nodes.
3. The method as described in claim 1, characterized in that, For any recovered object, a secondary fault scenario is obtained by simulating a fault by changing the state data of the recovered object to a fault, including: Retrieve all recovered objects from the initial time period to the current time period, and the status data of all objects in the current time period within the power grid structure containing wind power; For any recovered object, the status data of the recovered object in the status data of all objects in the current time period is changed from non-fault to fault, resulting in a secondary fault scenario.
4. The method as described in claim 2, characterized in that, The real-time power outage restoration scheme for power grids containing wind power includes: restoring nodes, generating units, and power lines in the next time period of the power grid containing wind power; The nodes to be restored include: grid-connected wind power access nodes.
5. The method as described in claim 2, characterized in that, The objective function for real-time recovery of the network structure is as follows: ; in, f This indicates the risk of load loss at nodes that have been restored within a power grid containing wind power. This indicates a secondary fault scenario; This indicates the node load in a secondary failure scenario. Is it picked up? Represents a node Load at the location; Represents a node Is it electrified? This represents a set of secondary fault scenarios.
6. The method as described in claim 2, characterized in that, The model for calculating the risk of loss of load is as follows: ; ; ; ; ; ; ; ; ; ; ; Where K represents the power lines that have been restored in the power grid that includes wind power; Indicates power lines In secondary failure scenarios The active power below; Indicates power lines Admittance; Represents a node In secondary failure scenarios The phase angle below; This indicates that node j is in the secondary fault scenario. The phase angle below; Indicates power lines The 0 / 1 decision variable for whether to put the system into operation; Represents a large number; This represents a set of secondary fault scenarios; Indicates the upper limit of power flow for the power line; Indicates the unit In secondary failure scenarios Those who contribute their efforts; Represents a set of directed power lines; Indicates power lines In secondary failure scenarios The active power below; This indicates the node load in a secondary failure scenario. Is it picked up? Represents a node Load at the location; Indicates power lines In secondary failure scenarios Is the connection broken? Represents a node Is it electrified? N represents the total number of power lines in the power grid that includes wind power; N represents the set of all nodes in the power grid that includes wind power. Indicates a secondary fault scenario The output of the lower unit; and These represent the upper and lower limits of the unit's output, respectively. This represents the set of units located at node i.
7. A real-time restoration device for a power grid structure incorporating wind power, characterized in that, The device includes: A time period division unit is used to evenly divide the power outage recovery process of a power grid containing wind power into multiple time periods; wherein, the multiple time periods include an initial time period and multiple non-initial time periods; The data acquisition unit is used to acquire the status data of all objects in the power grid structure containing wind power in the initial time period and the current time period; wherein, the current time period is any non-initial time period; all objects include: recovered objects and unrecovered objects; the status data includes: fault and non-fault; the recovered objects are those whose status data in the initial time period was faulty but whose status data in the current time period is non-faulty. The object determination unit is used to determine all recovered objects in the wind power grid from the initial time period to the current time period based on the status data of all objects in the wind power grid in the initial time period and the current time period. The scenario set construction unit is used to simulate a fault scenario for any recovered object by changing the state data of the recovered object to a fault, thereby obtaining a secondary fault scenario; iterates through all recovered objects to obtain multiple secondary fault scenarios; and constructs a secondary fault scenario set based on the multiple secondary fault scenarios. The scheme determination unit is used to input the status data of all objects in the current time period and the set of secondary fault scenarios into a pre-constructed real-time power outage recovery model for a power grid including wind power, taking into account the short-circuit ratio constraint of wind power access points, to obtain a real-time power outage recovery scheme for a power grid including wind power. The real-time power outage recovery model for a power grid including wind power, taking into account the short-circuit ratio constraint of wind power access points, includes: a real-time power outage recovery objective function for a power grid including wind power, a power flow model, a network connectivity constraint model, a short-circuit ratio constraint model for wind power access nodes, and a load shedding risk calculation model. The short-circuit ratio constraint model for wind power access nodes is as follows: ; ; ; ; ; ; ; in, Indicates power lines Current on; Indicates power lines The current flowing through it; N represents the set of all nodes in the power grid containing wind power; This represents the set of all power lines in a power grid that includes wind power. Represents a node Injected current; This represents the set of all wind power access nodes in a power grid that includes wind power. This represents the per-unit value of the wind power injected and transmitted. Indicates power lines The reactance; Indicates power lines The 0 / 1 decision variable for whether to put the system into operation; It is a large number; Represents a node Virtual voltage; Represents a node Virtual voltage; This represents the virtual voltage at the wind power access node; Indicates the multi-feed short-circuit ratio threshold; The recovery unit is used to restore the unrestored objects in the power grid containing wind power in the next time period, based on the real-time power outage recovery scheme for the power grid containing wind power.
8. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-6.
9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-6.
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