An inertial response control method, device, electronic device, and storage medium

Abstract

This application discloses an inertial response control method, apparatus, electronic device, and storage medium. The method and apparatus are applied to an electronic device for implementing inertial response control of a wind power generation system connected to a power grid. This scheme calculates and compares the energy accumulation during the entire inertial response process, specifically the decrease and recovery of the blade speed, and schedules the inertial response time constant based on this ratio. This overcomes the problem of uncontrollable active power increase triggered by inertial response in traditional methods that use a fixed inertial response time constant. It fully considers the practical need to schedule the inertial response time constant under different speed decrease and recovery conditions during the inertial response process, solving the problem of power generation loss caused by the recovery of rotor speed kinetic energy during the inertial response of wind turbine generators, thereby avoiding power generation losses in the wind power generation system during the inertial response process.

Description

Technical Field

[0001] This application relates to the field of wind power generation technology, and more specifically, to an inertial response control method, apparatus, electronic device, and storage medium. Background Technology

[0002] Traditional synchronous generators have relatively controllable frequencies, while wind power exhibits random fluctuations on the supply side. Variable-speed constant-frequency wind turbines connect to the grid via back-back converters, decoupling the generator from the power grid system. Currently, the high proportion of renewable energy integration has led to the deployment of a high proportion of power electronic devices, resulting in low inertia and weak damping characteristics in the current power system. Consequently, the frequency stability of this electronically powered power system has become a significant issue.

[0003] The existing technical solution to this problem is to set a dead zone value for the rate of frequency change. When the rate of frequency change exceeds the dead zone, the corresponding active power command value is quickly calculated and an inertial response is executed. However, in this process, in order to quickly respond to inertial control, the rotor speed is rapidly reduced to convert kinetic energy into electrical energy. But during and after the grid frequency support process, there is a rotor speed recovery process. During this process, part of the wind energy absorbed by the wind turbine is converted into the kinetic energy required for rotor speed recovery, and part is converted into electrical energy, thus causing a certain amount of power generation loss. Summary of the Invention

[0004] In view of this, this application provides an inertia response control method, apparatus, electronic device and storage medium to avoid power generation loss in wind power generation systems during inertia response.

[0005] To achieve the above objectives, the following solution is proposed:

[0006] An inertia response control method, applied to electronic equipment, is used to implement inertia response control for a wind power generation system connected to a power grid. The control method includes the following steps:

[0007] The power grid is judged to be in an underfrequency state based on the monitoring of the power grid frequency;

[0008] When the power grid is determined to be in an underfrequency state, the change in inertial response power of the wind power generation system during the period when the power grid is in the underfrequency state is calculated by comparing the energy accumulation during the frequency drop and recovery process.

[0009] The wind power generation system is controlled to implement inertial response based on the change in inertial response power.

[0010] Optionally, the step of determining whether the power grid is in an underfrequency state based on monitoring the power grid frequency includes the following steps:

[0011] Obtain the rate of change and the amount of change of the power grid frequency;

[0012] The power grid is determined to be in the underfrequency state based on the rate of change, the amount of change, and the preset dead zone value.

[0013] Optionally, when the power grid is determined to be in an underfrequency state, calculating the change in inertial response power of the wind power generation system during the period when the power grid is in the underfrequency state includes the following steps:

[0014] Obtain the first difference between the wind turbine output power and the useful power of the wind power generation system during the frequency reduction time of the power grid.

[0015] Obtain the second difference between the useful power of the power grid and the output power of the wind turbine during the frequency recovery time;

[0016] The inertial time constant is determined based on the ratio between the first difference and the second difference;

[0017] The change in inertial response power is obtained by calculation based on the inertial time constant.

[0018] Optionally, obtaining the first difference between the wind turbine output power and the useful power of the wind power generation system during the frequency reduction time of the power grid includes the following steps:

[0019] The start and end times of the frequency decrease time are detected based on the grid frequency and frequency acceleration of the grid.

[0020] Based on the start time and the end time, the wind turbine output power and active power of the wind power generation system are integrated to obtain the wind turbine output power and the useful power.

[0021] The first difference is obtained by subtracting the useful power from the output power of the wind turbine blades.

[0022] Optionally, obtaining the second difference between the useful power of the power grid and the output power of the wind turbine blades during the frequency recovery time includes the following steps:

[0023] The start and end times of the frequency recovery time are detected based on the grid frequency and frequency acceleration of the grid.

[0024] Based on the start time and the end time, the wind turbine output power and active power of the wind power generation system are integrated to obtain the wind turbine output power and the useful power.

[0025] The second difference is obtained by subtracting the output power of the wind turbine blades from the useful power.

[0026] Optionally, determining the inertial time constant based on the ratio between the first difference and the second difference includes the following steps:

[0027] Divide the first difference by the second difference to obtain the ratio;

[0028] The ratio is compared with the preset coefficient, and the inertial time constant is determined based on the comparison result.

[0029] Optionally, the step of calculating the change in inertial response power based on the inertial time constant includes the following steps:

[0030] The change in inertial response power ΔP is calculated using the following formula:

[0031] ΔP≥(-TJ / fN)*f_vel*PN;

[0032] Wherein, TJ is the inertial time constant, fN is the rated frequency of the power grid, f_vel is the frequency change rate of the power grid, and PN is the rated capacity of the wind power equipment.

[0033] An inertia response control device, applied in electronic equipment, is used to implement inertia response control for a wind power generation system connected to a power grid. The control device includes:

[0034] The underfrequency detection module is configured to determine whether the power grid is in an underfrequency state based on monitoring of the power grid frequency.

[0035] The parameter calculation module is configured to calculate the change in inertial response power of the wind power generation system during the period when the power grid is in the underfrequency state by comparing the energy accumulation during the frequency drop and recovery process when the power grid is determined to be in the underfrequency state.

[0036] The control execution module is configured to control the wind power generation system to implement an inertial response based on the change in inertial response power.

[0037] Optionally, the underfrequency determination module includes:

[0038] The data acquisition unit is configured to acquire the rate of change and the amount of change of the power grid frequency;

[0039] The underfrequency determination unit is configured to determine whether the power grid is in the underfrequency state based on the rate of change, the amount of change, and a preset dead zone value.

[0040] Optionally, the parameter calculation module includes:

[0041] The first acquisition unit is configured to acquire a first difference between the wind turbine output power and the useful power of the wind power generation system during the frequency reduction time of the power grid.

[0042] The second acquisition unit is configured to acquire a second difference between the useful power of the power grid and the output power of the wind turbine during the frequency recovery time.

[0043] The first calculation unit is configured to determine the inertial time constant based on the ratio between the first difference and the second difference;

[0044] The second calculation unit is configured to calculate the change in inertial response power based on the inertial time constant.

[0045] An electronic device for use in a wind power generation system, the electronic device including at least one processor and a memory connected to the processor, wherein:

[0046] The memory is used to store computer programs or instructions;

[0047] The processor is used to execute the computer program or instructions to cause the electronic device to implement the inertia response control method as described above.

[0048] A storage medium is used in an electronic device, the storage medium carrying one or more computer programs, which, when executed by the electronic device, enable the inertia response control method as described above.

[0049] As can be seen from the above technical solutions, this application discloses an inertial response control method, device, electronic equipment, and storage medium. This method and device are applied to electronic equipment for implementing inertial response control of a wind power generation system connected to the power grid. This solution calculates and compares the energy accumulation during the entire inertial response process, specifically the decrease and recovery of the blade speed, and schedules the inertial response time constant based on this ratio. This overcomes the problem of uncontrollable active power increase triggered by the fixed inertial response time constant in traditional methods. It fully considers the actual need to schedule the inertial response time constant under different speed decrease and recovery conditions during the inertial response process, solving the problem of power generation loss caused by the recovery of rotor speed kinetic energy during the inertial response of wind turbine generators, thereby avoiding power generation losses in the wind power generation system during the inertial response process. Attached Figure Description

[0050] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0051] Figure 1 This is a flowchart of an inertia response control method according to an embodiment of this application;

[0052] Figure 2 This is a flowchart illustrating the method for calculating the change in inertial response power according to an embodiment of this application.

[0053] Figure 3 This is a block diagram of an inertia response control device according to an embodiment of this application;

[0054] Figure 4 This is a block diagram of another inertia response control device according to an embodiment of this application;

[0055] Figure 5 This is a block diagram of another inertia response control device according to an embodiment of this application;

[0056] Figure 6 This is a block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0057] 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 some embodiments of this application, and not all 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.

[0058] To overcome the shortcomings of existing technologies, this application provides a method for controlling the inertial response parameters of a wind turbine generator. It innovatively compares the energy released during the energy release process in frequency regulation with the acceleration energy during the frequency recovery process, redefining the inertial time constant in the inertial response. During the energy release process, the increase in active power is dynamically scheduled to reduce power generation losses during the subsequent frequency recovery process. Compared to traditional methods, this approach balances the energy released during the energy release process and the energy released during the frequency recovery process, thereby reducing power generation losses throughout the entire inertial response process. Based on this, the following specific embodiments are proposed.

[0059] Example 1

[0060] Figure 1 This is a flowchart of an inertia response control method according to an embodiment of this application.

[0061] like Figure 1As shown, the inertia response control method provided in this embodiment is applied to an electronic device to implement inertia response control of a wind power generation system connected to the power grid, thereby reducing power loss during the inertia response process. This electronic device can be understood as part of the control system of the wind power generation system, and can be implemented by a computer or server with data computing and information processing capabilities. The wind power generation system can be a single wind turbine or a wind farm consisting of multiple wind turbines within a region. The inertia response control method of this application includes the following steps:

[0062] S1. Determine whether the power grid is in an underfrequency state based on monitoring the power grid frequency.

[0063] During the operation of a wind power generation system, the power grid connected to the system is monitored to determine whether the grid is experiencing frequency under-frequency response due to the inertial response of the wind power system, i.e., whether it is in a frequency under-frequency state. This application implements the monitoring of the frequency under-frequency state through the following specific scheme.

[0064] First, detect the rate of change f_vel and the amount of change f_dis of the grid frequency.

[0065] Then, if the change is less than 0, meaning the current grid frequency is less than the power frequency, and the rate of change is greater than a preset deadband, the grid is determined to be in an underfrequency state. The deadband is typically set to 0.5 Hz / s, meaning the grid frequency decreases by more than 0.5 Hz per second. This deadband can be set to other fixed or active values.

[0066] S2. Calculate the change in inertial response power during the duration of the underfrequency state.

[0067] This involves calculating the change in the grid's inertial response power by comparing the energy accumulation during frequency decline and recovery, based on the wind turbine output power and the grid's useful power, over the duration of the grid's under-frequency state. A specific scheme is as follows... Figure 2 As shown:

[0068] S21. Obtain the first difference between the output power of the wind turbine blades and the useful power.

[0069] This involves obtaining the difference between the power output of the wind turbines and the useful power of the generator units in the wind power system during the period of frequency reduction in the power grid. For ease of differentiation from other data, this difference is described as the first difference. The specific calculation process is as follows:

[0070] First, mark the start time T_de_start of the energy release process.

[0071] The system detects the instantaneous value of the grid frequency f and the acceleration of the grid frequency change f_acc. It determines whether the instantaneous value of the grid frequency f is less than the power frequency of 50Hz and whether the acceleration of the grid frequency change f_acc is less than 0. When this acceleration equals 0, it can be determined that the frequency decline trend has ended due to the action of active power. At this point, the end time of energy release is marked as T_de_end.

[0072] The output power of the wind turbine blades, P_mech, is detected in each control cycle. In this embodiment, the output power of the wind turbine blades is selected as the power of the transmission chain. At the same time, the active power of the generator set of the wind power generation system, P_act, is detected in each control cycle.

[0073] Then, P_act and P_mech are integrated with T_de_start as the start time and T_de_end as the end time to obtain the useful work E_de_act and the blade output work E_de_mech.

[0074] Subtracting the useful work E_de_act from the output work E_de_mech of the wind turbine blades, we obtain the first difference E_de, i.e., E_de = E_de_mech - E_de_act.

[0075] S22. Obtain the second difference between useful work and the output work of the fan blades.

[0076] This involves obtaining the difference between the useful work of the wind turbine generator and the output work of the wind turbine blades during the frequency recovery time of the power grid. For ease of differentiation from other data, this difference is described as the "second difference." The specific calculation process is as follows:

[0077] First, mark the end time T_rec_end of the power grid frequency recovery process.

[0078] The system detects the instantaneous value of the power grid frequency, f, and the acceleration of the power grid frequency change, f_acc. When the instantaneous value of the power grid frequency, f, is less than 50Hz (the power frequency), and the acceleration of the power grid frequency change, f_acc, is greater than 0, the frequency recovery process can be considered complete when the acceleration equals 0. At this point, the end time of the frequency recovery is marked as T_rec_end.

[0079] Then, starting with T_de_end and ending with T_rec_end, P_act and P_mech are integrated to obtain the useful work E_rec_act and the blade output work E_rec_mech.

[0080] Subtracting the wind turbine output power E_rec_mech from the useful power E_rec_act, we obtain the second difference E_rec, i.e., E_rec = E_rec_act - E_rec_mech.

[0081] S23. Determine the inertia time constant according to the ratio between the first difference and the second difference.

[0082] Divide E_de by E_rec to obtain a ratio. Compare the ratio with a preset coefficient K, which can generally be set to 1.05 - 1.1. If E_de / E_rec < K, use the inertia time constant TJ1 (4 - 6 seconds) in the inertia response. If E_de / E_rec > K, it means that there is room for improvement in the deceleration energy compared to the acceleration energy during the frequency recovery process, and set the inertia time constant to TJ2 (6 - 12 seconds).

[0083] At the rated frequency of the power system, with the rated capacity of the wind turbine / farm and the unchanged grid frequency change rate, the inertia time constant is proportional to the change in inertia response power. Increasing this inertia time constant can effectively improve the active power increase during the energy release process in the inertia response and increase the power generation.

[0084] S24. Calculate the change in inertia response power according to the inertia time constant.

[0085] That is, calculate the change in inertia response power based on the above-mentioned inertia time constant TJ. The TJ can be selected as TJ1 or TJ2 according to the ratio.

[0086] The calculation formula for the change in inertia response power ΔP is:

[0087] ΔP ≥ (-TJ / fN) * f_vel * PN.

[0088] Here, ΔP is the change in inertia response power, TJ is the inertia time constant, fN is the rated frequency of the power system, f_vel is the grid frequency change rate, and PN is the rated capacity of the wind turbine / farm.

[0089] S3. Control the real-time inertia response of the wind power generation system according to the change in inertia response power.

[0090] That is, output the obtained change in inertia response power to the power control system of the wind power generation system, so that the power control system performs real-time inertia control on the wind power generation system.

[0091] As can be seen from the above technical solution, this embodiment provides an inertial response control method applied to electronic equipment for implementing inertial response control of a wind power generation system connected to the power grid. This solution calculates and compares the energy accumulation during the entire inertial response process, specifically the decrease and recovery of the blade speed, and schedules the inertial response time constant based on this ratio. This overcomes the problem of uncontrollable active power increase triggered by the fixed inertial response time constant in traditional methods. It fully considers the actual need to schedule the inertial response time constant under different speed decrease and recovery conditions during the inertial response process, solving the problem of power generation loss caused by the recovery of rotor speed kinetic energy during the inertial response of wind turbine generators, thereby avoiding power generation losses in the wind power generation system during the inertial response process.

[0092] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0093] Although the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous.

[0094] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0095] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer.

[0096] Example 2

[0097] Figure 3 This is a block diagram of an inertia response control device according to an embodiment of this application.

[0098] like Figure 3 As shown, the inertia response control device provided in this embodiment is applied to an electronic device for implementing inertia response control on a wind power generation system connected to the power grid, thereby reducing power loss during the inertia response process of the wind power generation system. This electronic device can be understood as part of the control system of the wind power generation system, and can be implemented by a computer or server with data computing and information processing capabilities. The wind power generation system can be a single wind turbine or a wind farm consisting of multiple wind turbines within a region. The inertia response control device of this application includes an underfrequency judgment module 10, a parameter calculation module 20, and a control execution module 30.

[0099] The underfrequency detection module is used to determine whether the power grid is in an underfrequency state based on the monitoring of the power grid frequency.

[0100] During the operation of the wind power generation system, the system monitors the power grid connected to the system to determine whether the grid is experiencing underfrequency instability due to the inertial response of the wind power system, i.e., whether it is in an underfrequency state. This module includes a data acquisition unit 11 and an underfrequency determination unit 12, such as... Figure 4 As shown.

[0101] The data acquisition unit is used to detect the rate of change f_vel and the amount of change f_dis of the grid frequency of the power grid.

[0102] The underfrequency determination unit determines that the power grid is in an underfrequency state when the change in frequency is less than 0 (i.e., the current grid frequency is lower than the power frequency) and the rate of change is greater than a preset deadband. The deadband is typically set to 0.5 Hz / s, meaning the grid frequency decreases by more than 0.5 Hz per second. Other fixed or active values ​​can also be set for the deadband.

[0103] The parameter calculation module is used to calculate the change in inertial response power during the duration of the underfrequency state by comparing the energy accumulation during the frequency drop and recovery process.

[0104] That is, during the duration of the power grid being in an underfrequency state, the change in the inertial response power of the power grid is calculated based on the output power of the wind turbines and the useful power of the power grid. This parameter calculation module includes a first acquisition unit 21, a second acquisition unit 22, a first calculation unit 23, and a second calculation unit 24, as follows: Figure 5 As shown.

[0105] The first acquisition unit is used to acquire the first difference between the output power of the wind turbine blades and the useful power.

[0106] This involves obtaining the difference between the power output of the wind turbines and the useful power of the generator units in the wind power system during the period of frequency reduction in the power grid. For ease of differentiation from other data, this difference is described as the first difference. The specific calculation process is as follows:

[0107] First, mark the start time T_de_start of the energy release process.

[0108] The system detects the instantaneous value of the grid frequency f and the acceleration of the grid frequency change f_acc. It determines whether the instantaneous value of the grid frequency f is less than the power frequency of 50Hz and whether the acceleration of the grid frequency change f_acc is less than 0. When this acceleration equals 0, it can be determined that the frequency decline trend has ended due to the action of active power. At this point, the end time of energy release is marked as T_de_end.

[0109] The output power of the wind turbine blades, P_mech, is detected in each control cycle. In this embodiment, the output power of the wind turbine blades is selected as the power of the transmission chain. At the same time, the active power of the generator set of the wind power generation system, P_act, is detected in each control cycle.

[0110] Then, P_act and P_mech are integrated with T_de_start as the start time and T_de_end as the end time to obtain the useful work E_de_act and the blade output work E_de_mech.

[0111] Subtracting the useful work E_de_act from the output work E_de_mech of the wind turbine blades, we obtain the first difference E_de, i.e., E_de = E_de_mech - E_de_act.

[0112] The second acquisition unit is used to acquire the second difference between the useful work and the output work of the wind turbine blades.

[0113] That is, acquire the difference between the useful work of the generator set of the wind power generation system and the output work of the wind turbine blades during the grid frequency recovery time. Here, for the convenience of distinguishing from other data, this difference is described as the second difference. The specific calculation process is as follows:

[0114] First, mark the end time T_rec_end of the grid frequency recovery process.

[0115] Detect the instantaneous value f of the grid frequency and detect the grid frequency change acceleration f_acc. When it is judged that the instantaneous value f of the grid frequency is less than the power frequency of 50 Hz and the grid frequency change acceleration f_acc is greater than 0, wait until the acceleration is equal to 0, then it can be determined that the frequency recovery process ends. At this time, mark the end time of this frequency recovery as T_rec_end.

[0116] Then, starting from the time T_de_end and ending at the time T_rec_end, perform integration on P_act and P_mech respectively to obtain the useful work E_rec_act and the output work of the wind turbine blades E_rec_mech.

[0117] Subtract the output work of the wind turbine blades E_rec_mech from the useful work E_rec_act to obtain the second difference E_rec, that is, E_rec = E_rec_act - E_rec_mech.

[0118] The first calculation unit is used to determine the inertia time constant according to the ratio between the first difference and the second difference.

[0119] Divide E_de by E_rec to obtain a ratio. Compare the ratio with a preset coefficient K. This preset coefficient can generally be set to 1.05 - 1.1. If E_de / E_rec < K, then use the inertia time constant TJ1 (4 - 6 seconds) in the inertia response. If E_de / E_rec > K, it means that compared with the acceleration energy during the frequency recovery process, there is room for improvement in the deceleration energy during the energy release process, then set the inertia time constant to TJ2 (6 - 12 seconds).

[0120] Under the condition that the rated frequency of the power system, the rated capacity of the wind turbine unit / power station, and the grid frequency change rate remain unchanged, the inertia time constant is proportional to the change amount of the inertia response power. Increasing this inertia time constant can effectively improve the active power increase during the energy release process in the inertia response and increase the power generation.

[0121] The second calculation unit is used to calculate the change amount of the inertia response power according to the inertia time constant.

[0122] The change in inertial response power is calculated based on the aforementioned inertial time constant TJ, and TJ1 or TJ2 can be selected based on this ratio.

[0123] The formula for calculating the change in power ΔP in the inertial response is:

[0124] ΔP≥(-TJ / fN)*f_vel*PN.

[0125] Here, ΔE is the change in power due to inertia response, TJ is the inertia time constant, fN is the rated frequency of the power system, f_vel is the rate of change of the grid frequency, and PN is the rated capacity of the wind turbine / station.

[0126] The control execution module is used to control the real-time inertial response of the wind power generation system based on the change in inertial response power.

[0127] The obtained inertial response power change is output to the power control system of the wind power generation system so that the power control system can perform real-time inertial control of the wind power generation system.

[0128] As can be seen from the above technical solution, this embodiment provides an inertial response control device applied to electronic equipment for implementing inertial response control of a wind power generation system connected to the power grid. This solution calculates and compares the energy accumulation during the entire inertial response process, specifically the decrease and recovery of the blade speed, and schedules the inertial response time constant based on this ratio. This overcomes the problem of uncontrollable active power increase triggered by the fixed inertial response time constant in traditional methods. It fully considers the actual need to schedule the inertial response time constant under different speed decrease and recovery conditions during the inertial response process, solving the problem of power generation loss caused by the recovery of rotor speed kinetic energy during the inertial response of wind turbine generators, thereby avoiding power generation losses in the wind power generation system during the inertial response process.

[0129] The units described in the embodiments of this disclosure can be implemented in software or in hardware. The name of a unit does not necessarily limit the unit itself; for example, the first acquisition unit can also be described as "a unit that acquires at least two Internet Protocol addresses".

[0130] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0131] Example 3

[0132] Figure 6 This is a block diagram of an electronic device according to an embodiment of this application.

[0133] like Figure 6 The diagram illustrates a structural schematic suitable for implementing the electronic device in the embodiments of this disclosure. The terminal device in the embodiments of this disclosure may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 6 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0134] like Figure 6 As shown, the electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 606 into a random access memory (RAM) 603. The RAM 603 also stores various programs and data required for the operation of the electronic device. The processing unit 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0135] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 606 including, for example, magnetic tapes, hard disks, etc.; and communication devices 609. Communication device 609 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown. More or fewer devices may be implemented or have alternatively.

[0136] Example 4

[0137] This embodiment provides a computer-readable storage medium. The storage medium carries one or more computer programs, which, when executed by the electronic device, enable the electronic device to implement the inertial response control method provided in Embodiment 1. This solution compares the energy accumulation during the entire inertial response process, specifically the decrease and recovery of the blade speed, and schedules the inertial response time constant based on this ratio. This overcomes the problem of uncontrollable active power increase triggered by the fixed inertial response time constant in traditional methods. It fully considers the actual need to schedule the inertial response time constant under different speed decrease and recovery conditions during the inertial response process, solving the problem of power generation loss caused by the recovery of rotor speed kinetic energy during the inertial response of wind turbine generators, thereby avoiding power generation losses in the wind power generation system during the inertial response process.

[0138] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0139] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0140] Although preferred embodiments of the present invention have been described, 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 the present invention.

[0141] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0142] The technical solution provided by the present invention has been described in detail above. Specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the idea of ​​the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An inertia response control method, applied to electronic equipment, for implementing inertia response control of a wind power generation system connected to a power grid, characterized in that, The control method includes the following steps: The power grid is judged to be in an underfrequency state based on the monitoring of the power grid frequency; Obtain the first difference between the wind turbine output power and the useful power of the wind power generation system during the frequency reduction time of the power grid. The second difference between the useful work of the power grid and the output work of the wind turbine blades during the frequency recovery time is obtained, wherein the end time of the frequency decrease time and the end time of the frequency recovery time are determined by detecting whether the acceleration of the power grid frequency change is equal to 0. Divide the first difference by the second difference to obtain the ratio; The ratio is compared with a preset coefficient, and the inertial time constant is determined based on the comparison result. The change in inertial response power is obtained by calculation based on the inertial time constant. The wind power generation system is controlled to implement inertial response based on the change in inertial response power.

2. The inertia response control method as described in claim 1, characterized in that, The method of determining whether the power grid is in an underfrequency state based on monitoring the power grid frequency includes the following steps: Obtain the rate of change and the amount of change of the power grid frequency; The power grid is determined to be in the underfrequency state based on the rate of change, the amount of change, and the preset dead zone value.

3. The inertia response control method as described in claim 1, characterized in that, The step of obtaining the first difference between the wind turbine output power and the useful power of the wind power generation system during the frequency reduction period of the power grid includes the following steps: The start and end times of the frequency decrease time are detected based on the grid frequency and frequency acceleration of the grid. Based on the start time and the end time, the wind turbine output power and active power of the wind power generation system are integrated to obtain the wind turbine output power and the useful power. The first difference is obtained by subtracting the useful power from the output power of the wind turbine blades.

4. The inertia response control method as described in claim 1, characterized in that, The step of obtaining the second difference between the useful power of the power grid and the output power of the wind turbine blades during the frequency recovery time includes the following steps: The start and end times of the frequency recovery time are detected based on the grid frequency and frequency acceleration of the grid. Based on the start time and the end time, the wind turbine output power and active power of the wind power generation system are integrated to obtain the wind turbine output power and the useful power. The second difference is obtained by subtracting the output power of the wind turbine blades from the useful power.

5. The inertia response control method as described in claim 1, characterized in that, The step of calculating the change in inertial response power based on the inertial time constant includes the following steps: The change in inertial response power ΔP is calculated using the following formula: ΔP≥(-TJ / fN)*f_vel*PN; Wherein, TJ is the inertial time constant, fN is the rated frequency of the power grid, f_vel is the frequency change rate of the power grid, and PN is the rated capacity of the wind power equipment.

6. An inertia response control device, applied to electronic equipment, for implementing inertia response control of a wind power generation system connected to a power grid, characterized in that, The control device includes: The underfrequency detection module is configured to determine whether the power grid is in an underfrequency state based on monitoring of the power grid frequency. The parameter calculation module is configured to calculate the change in inertial response power of the wind power generation system during the period when the power grid is in the underfrequency state by comparing the energy accumulation during the frequency drop and recovery process when the power grid is determined to be in the underfrequency state. The control execution module is configured to control the wind power generation system to implement an inertial response based on the inertial response power change. The parameter calculation module specifically includes: The first acquisition unit is configured to acquire a first difference between the wind turbine output power and the useful power of the wind power generation system during the frequency reduction time of the power grid. The second acquisition unit is configured to acquire a second difference between the useful power of the power grid and the output power of the wind turbine during the frequency recovery time, wherein the end time of the frequency reduction time and the end time of the frequency recovery time are determined by detecting whether the acceleration of the power grid frequency change is equal to 0. The first calculation unit is configured to divide the first difference by the second difference to obtain a ratio; compare the ratio with a preset coefficient, and determine the inertial time constant based on the comparison result; The second calculation unit is configured to perform calculations based on the inertial time constant to obtain the change in inertial response power.

7. The inertia response control device as described in claim 6, characterized in that, The underfrequency detection module includes: The data acquisition unit is configured to acquire the rate of change and the amount of change of the power grid frequency; The underfrequency determination unit is configured to determine whether the power grid is in the underfrequency state based on the rate of change, the amount of change, and a preset dead zone value.

8. An electronic device used in a wind power generation system, characterized in that, The electronic device includes at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs or instructions; The processor is used to execute the computer program or instructions to cause the electronic device to implement the inertia response control method as described in any one of claims 1 to 5.

9. A storage medium used in electronic devices, characterized in that, The storage medium carries one or more computer programs, which, when executed by the electronic device, enable the inertia response control method as described in any one of claims 1 to 5.

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