Generator control method and device, medium and electronic equipment

Abstract

The invention discloses a generator control method and device, a medium and electronic equipment. The method comprises the following steps: performing time domain simulation on a target power grid, and judging whether a serious voltage instability bus exists or not; if the serious voltage instability bus exists, determining a target generator having a strong supporting effect on the serious voltage instability bus; optimizing the voltage regulation function of the target generator to obtain a voltage regulation function optimization scheme of the target generator; and controlling the target generator by adopting the voltage regulation function optimization scheme.

Description

Technical Field

[0001] This invention relates to the field of power system safety and stability technology, and more specifically, to a generator control method, device, medium, and electronic equipment. Background Technology

[0002] With the large-scale commissioning of ultra-high voltage direct current (UHVDC) projects in my country, and the rapid increase in the proportion of fluctuating power sources such as wind and solar power in the power grid under the "dual carbon" target, some receiving-end power grids are facing the problem of insufficient transient voltage stability, which puts great pressure on the safe and stable operation of the power grid.

[0003] Generators are the most important reactive power regulation resource in the power grid. Previously, automatic excitation voltage regulation of generators mainly relied on local signals from the installation location. With the development and increasing maturity of wide-area measurement technology, remote voltage regulation control signals can be introduced to generators, further unleashing their voltage regulation potential and significantly improving the system's voltage stability. However, how to enhance the generator's supporting role in transient voltage stability remains a pressing technical problem. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a generator control method, device, medium, and electronic equipment.

[0005] According to one aspect of the present invention, a generator control method is provided, comprising:

[0006] Perform time-domain simulation of the target power grid to determine whether there are buses with severe voltage instability;

[0007] If a busbar with severe voltage instability exists, identify a target generator that provides strong support for the busbar with severe voltage instability.

[0008] The voltage regulation function of the target generator is optimized to obtain an optimized voltage regulation function scheme for the target generator;

[0009] A voltage regulation function optimization scheme is adopted to control the target generator.

[0010] Optionally, time-domain simulation of the target power grid is performed to determine whether there are severely voltage-instability buses, including:

[0011] Time-domain simulation of the target power grid was performed to obtain the voltage curves of each load bus of the receiving-end power grid after the fault.

[0012] The voltage curves of each load bus are used to determine whether the preset criteria are met. If they are met, the load bus is determined to be a severely voltage unstable bus.

[0013] Optionally, the preset criteria are: the transient voltage cannot recover to 0.8pu within 10s and the medium- and long-term voltage of the load bus cannot recover to 0.9pu.

[0014] Optionally, a target generator that provides strong support to severely voltage-instability buses is identified, including:

[0015] Calculate the reactive voltage sensitivity λ of the i-th generator to the j-th severely voltage unstable bus in the receiving-end power grid. ij ;

[0016] Based on reactive voltage sensitivity λ ij Calculate the average reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the severely voltage-instability bus. si ;

[0017] Based on the average reactive voltage sensitivity λ si Calculate the voltage performance index E of the i-th generator in the receiving-end power grid. i ;

[0018] The generator corresponding to the maximum value of the support voltage efficiency index of each generator in the receiving-end power grid is selected as the target generator that has a strong support effect on the severely voltage unstable bus.

[0019] Optionally, reactive voltage sensitivity λ ij The calculation expression is:

[0020]

[0021] In the formula, U j Let Q be the voltage of the j-th severely unstable bus. i Let Δ represent the reactive power output of the i-th generator, and let Δ represent the change.

[0022] Average reactive voltage sensitivity λ si The calculation expression is:

[0023]

[0024] In the formula, m is the number of buses with severe voltage instability;

[0025] Support voltage performance index E i The calculation expression is:

[0026] E i =λ si ×Q ri ×K i

[0027] In the formula, Q ri K is the rated reactive power output of the i-th generator. i Let be the voltage excitation multiple of the i-th generator.

[0028] Optionally, the voltage regulation function of the target generator is optimized to obtain an optimized voltage regulation function scheme for the target generator, including:

[0029] The excitation function of the target generator is expanded by adding a remote voltage regulation control unit;

[0030] Construct a mathematical model for parameter optimization and constraints of a remote voltage regulation control unit;

[0031] The particle swarm optimization algorithm is used to solve the mathematical model of parameter optimization based on constraints, and the setting parameters of the remote voltage regulation control unit are obtained.

[0032] Based on the set parameters and the remote voltage regulation control unit, an optimization scheme for the voltage regulation function was determined.

[0033] Optionally, the transfer function G of the remote voltage regulation control unit f (s) is:

[0034]

[0035] In the formula, U a The output of the remote voltage regulation control unit is superimposed on the voltage setpoint of the excitation regulator of the target generator f; U b For the input of the remote voltage regulation control unit, select the voltage change of the w-th severely voltage unstable bus corresponding to the maximum value of the reactive voltage sensitivity of the target generator f to the severely voltage unstable bus; K Q T is the magnification factor. Q T1, T2, T3, and T4 are time constants, and s is the Laplace operator.

[0036] Optionally, the objective function of the parameter optimization mathematical model is:

[0037]

[0038] In the formula, U w (t) and U w0 The voltage and initial voltage values ​​of the w-th severely voltage unstable bus after the fault are obtained from the time-domain simulation, where t0 is the fault occurrence time and T is the simulation termination time.

[0039] The constraints include:

[0040] U f ≤U max

[0041]

[0042] In the formula, U f and U maxi represents the terminal voltage and maximum allowable terminal voltage of the target generator f after the fault, obtained from time-domain simulation. Rf and K R i represents the excitation current and rotor cumulative heating limit of the target generator f after the fault, obtained from time-domain simulation. Sf and K S The stator current and stator cumulative heating limit of the target generator f after the fault are obtained from the time-domain simulation.

[0043] Optionally, the setting parameters include: K Q T Q T1, T2, T3, T4.

[0044] According to another aspect of the present invention, a generator control device is provided, comprising:

[0045] The judgment module is used to perform time-domain simulation of the target power grid to determine whether there are buses with serious voltage instability.

[0046] The determination module is used to identify target generators that provide strong support to severely voltage unstable buses if such buses exist.

[0047] The optimization module is used to optimize the voltage regulation function of the target generator to obtain an optimized voltage regulation function scheme for the target generator.

[0048] The control module is used to control the target generator using a voltage regulation optimization scheme.

[0049] Optionally, the judgment module includes:

[0050] The simulation submodule is used to perform time-domain simulation of the target power grid and obtain the voltage curves of each load bus of the receiving-end power grid after a fault.

[0051] The judgment submodule is used to determine whether the preset criteria are met based on the voltage curve of each load bus. If the criteria are met, the load bus is determined to be a severely voltage unstable bus.

[0052] Optionally, the preset criteria are: the transient voltage cannot recover to 0.8pu within 10s and the medium- and long-term voltage of the load bus cannot recover to 0.9pu.

[0053] Optionally, the module identifies target generators that provide strong support to severely voltage-instability buses, including:

[0054] The first calculation submodule is used to calculate the reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the j-th severely voltage-instability bus. ij ;

[0055] The second calculation submodule is used to calculate based on the reactive voltage sensitivity λ.ij Calculate the average reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the severely voltage-instability bus. si ;

[0056] The third calculation submodule is used to calculate based on the average reactive voltage sensitivity λ. si Calculate the voltage performance index E of the i-th generator in the receiving-end power grid. i ;

[0057] The selection submodule is used to select the generator corresponding to the maximum value of the support voltage efficiency index of each generator in the receiving-end power grid as the target generator that has a strong support effect on the severely voltage unstable bus.

[0058] Optionally, reactive voltage sensitivity λ ij The calculation expression is:

[0059]

[0060] In the formula, U j Let Q be the voltage of the j-th severely unstable bus. i Let Δ represent the reactive power output of the i-th generator, and let Δ represent the change.

[0061] Average reactive voltage sensitivity λ si The calculation expression is:

[0062]

[0063] In the formula, m is the number of buses with severe voltage instability;

[0064] Support voltage performance index E i The calculation expression is:

[0065] E i =λ si ×Q ri ×K i

[0066] In the formula, Q ri K is the rated reactive power output of the i-th generator. i Let be the voltage excitation multiple of the i-th generator.

[0067] Optionally, the optimized module includes:

[0068] An extension submodule is used to extend the excitation function of the target generator and add a remote voltage regulation control unit;

[0069] The construction submodule is used to construct the parameter optimization mathematical model and constraints of the remote voltage regulation control unit;

[0070] The solver submodule is used to solve the parameter optimization mathematical model based on constraints using the particle swarm optimization algorithm to obtain the setting parameters of the remote voltage regulation control unit.

[0071] The determination submodule is used to determine the optimization scheme for the voltage regulation function based on the set parameters and the remote voltage regulation control unit.

[0072] Optionally, the transfer function G of the remote voltage regulation control unit f (s) is:

[0073]

[0074] In the formula, U a The output of the remote voltage regulation control unit is superimposed on the voltage setpoint of the excitation regulator of the target generator f; U b For the input of the remote voltage regulation control unit, select the voltage change of the w-th severely voltage unstable bus corresponding to the maximum value of the reactive voltage sensitivity of the target generator f to the severely voltage unstable bus; K Q T is the magnification factor. Q T1, T2, T3, and T4 are time constants, and s is the Laplace operator.

[0075] Optionally, the objective function of the parameter optimization mathematical model is:

[0076]

[0077] In the formula, U w (t) and U w0 The voltage and initial voltage values ​​of the w-th severely voltage unstable bus after the fault are obtained from the time-domain simulation, where t0 is the fault occurrence time and T is the simulation termination time.

[0078] The constraints include:

[0079] U f ≤U max

[0080]

[0081] In the formula, U f and U max i represents the terminal voltage and maximum allowable terminal voltage of the target generator f after the fault, obtained from time-domain simulation. Rf and K R i represents the excitation current and rotor cumulative heating limit of the target generator f after the fault, obtained from time-domain simulation. Sf and K S The stator current and stator cumulative heating limit of the target generator f after the fault are obtained from the time-domain simulation.

[0082] Optionally, the setting parameters include: K Q T Q T1, T2, T3, T4.

[0083] According to another aspect of the present invention, a computer-readable storage medium is provided, the storage medium storing a computer program for performing the methods described in any of the above aspects of the present invention.

[0084] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the method described in any of the preceding aspects of the present invention.

[0085] Therefore, this invention determines the existence of a severely voltage-instability bus by performing time-domain simulation of the target power grid; if such a bus exists, it identifies a target generator that provides strong support for it; it optimizes the voltage regulation function of the target generator to obtain an optimized voltage regulation function scheme; and it uses this optimized scheme to control the target generator. In other words, it provides an optimized voltage regulation function scheme for the generator through simulation calculations, enhancing the generator's support for transient voltage stability. Attached Figure Description

[0086] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:

[0087] Figure 1 This is a schematic flowchart of a generator control method provided in an exemplary embodiment of the present invention;

[0088] Figure 2 This is a schematic diagram of the structure of a generator control device provided in an exemplary embodiment of the present invention;

[0089] Figure 3 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. Detailed Implementation

[0090] Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments of the present invention. It should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0091] It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention.

[0092] Those skilled in the art will understand that the terms "first," "second," etc., in the embodiments of the present invention are only used to distinguish different steps, devices, or modules, and do not represent any specific technical meaning, nor do they indicate a necessary logical order between them.

[0093] It should also be understood that in the embodiments of the present invention, "multiple" can refer to two or more, and "at least one" can refer to one, two or more.

[0094] It should also be understood that any component, data or structure mentioned in the embodiments of the present invention can generally be understood as one or more unless explicitly defined or given contrary instructions in the context.

[0095] Furthermore, the term "and / or" in this invention is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this invention generally indicates that the preceding and following related objects have an "or" relationship.

[0096] It should also be understood that the description of the various embodiments in this invention emphasizes the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, they will not be described in detail.

[0097] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0098] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0099] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, they should be considered part of the specification.

[0100] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0101] The embodiments of this invention can be applied to electronic devices such as terminal devices, computer systems, and servers, and can operate together with a wide range of other general-purpose or special-purpose computing system environments or configurations. Well-known examples of terminal devices, computing systems, environments, and / or configurations suitable for use with terminal devices, computer systems, servers, and other electronic devices include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments including any of the above systems, etc.

[0102] Electronic devices such as terminal devices, computer systems, and servers can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Typically, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in distributed cloud computing environments, where tasks are executed by remote processing devices linked through communication networks. In distributed cloud computing environments, program modules can reside on local or remote computing system storage media, including storage devices.

[0103] Exemplary methods

[0104] Figure 1 This is a schematic flowchart of a generator control method provided in an exemplary embodiment of the present invention. This embodiment can be applied to electronic devices, such as... Figure 1 As shown, the generator control method 100 includes the following steps:

[0105] Step 101: Perform time-domain simulation on the target power grid to determine whether there are any severely voltage-instable buses.

[0106] Step 102: If there is a severely unstable voltage bus, identify the target generator that provides strong support for the severely unstable voltage bus.

[0107] Step 103: Optimize the voltage regulation function of the target generator to obtain the optimized voltage regulation function scheme of the target generator;

[0108] Step 104: Use the voltage regulation function optimization scheme to control the target generator.

[0109] Specifically, in step 101, a severely voltage-instable busbar is obtained by following the steps below.

[0110] (1) Perform time-domain simulation to obtain the voltage curve of the load bus of the receiving end of the power grid after the fault.

[0111] (2) Determine whether the voltage curves of each load bus of the receiving end power grid after the fault meet the preset criteria. If they do, the bus is a serious voltage instability bus.

[0112] In one embodiment of the present invention, the preset criteria require that the following two conditions be met simultaneously: the transient voltage cannot recover to 0.8 pu within 10 seconds and the medium- and long-term voltage of the load bus cannot recover to 0.9 pu.

[0113] In another embodiment, the specific values ​​of the above two conditions can also be other values. For example, the transient voltage cannot recover to 0.75pu within 1 second and the medium- and long-term voltage of the load bus cannot recover to 0.9pu. This application embodiment does not further limit the specific values.

[0114] Furthermore, in step 102, a generator with strong support performance for severely voltage-instability busbars in the receiving-end power grid is obtained by following the steps below.

[0115] (1) Calculate the reactive voltage sensitivity λ of the i-th generator to the j-th severely voltage unstable bus in the receiving-end power grid. ij , λ ij It is calculated by the following formula,

[0116]

[0117] In the formula: U j Let Q be the voltage of the j-th severely unstable bus. i Let λ represent the reactive power output of the i-th generator, where Δ represents the change. ij This characterizes the degree to which the change in reactive power output of the i-th generator causes a change in voltage on the j-th severely voltage-instability bus.

[0118] (2) Calculate the average reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the severely voltage unstable bus. si , λ si It is calculated by the following formula,

[0119]

[0120] In the formula: m is the number of buses with severe voltage instability.

[0121] (3) Calculate the voltage performance index E of the i-th generator in the receiving-end power grid. i E i It is calculated by the following formula,

[0122] E i =λ si ×Q ri ×K i

[0123] In the formula: Q ri K is the rated reactive power output of the i-th generator. i Let be the voltage excitation multiple of the i-th generator.

[0124] (4) Take the set of generator support voltage efficiency indicators {E} in the receiving-end power grid. i The generator corresponding to the maximum value in} is the target generator that has strong support for the severely voltage unstable bus.

[0125] Furthermore, in step 103, the following steps are taken to obtain an optimized generator voltage regulation function that provides strong support for severely voltage-unstable busbars.

[0126] (1) For generators with strong support capabilities against severe voltage instability busbars, the excitation function is extended by adding a remote voltage regulation control unit. The transfer function G of the remote voltage regulation control unit is... f (s) is:

[0127]

[0128] In the formula: U a The output of the remote voltage regulation control unit is superimposed on the voltage setpoint of the excitation regulator of the target generator f; U b For the input of the remote voltage regulation control unit, select the voltage change of the w-th severely voltage unstable bus corresponding to the maximum value of the reactive voltage sensitivity of the target generator f to the severely voltage unstable bus. Q T is the magnification factor. Q T1, T2, T3, and T4 are time constants.

[0129] (2) Construct an optimized mathematical model for the parameters of the remote voltage regulation control unit.

[0130] The objective function is constructed as follows:

[0131]

[0132] In the formula, U w (t) and U w0 The voltage and initial voltage value of the w-th severely voltage unstable bus after the fault are obtained from the time-domain simulation, where t0 is the time when the fault occurs and T is the time when the simulation ends.

[0133] The constraints to be constructed include:

[0134] U f ≤U max

[0135]

[0136] In the formula, Uf and U max i represents the terminal voltage and maximum allowable terminal voltage of the target generator f after the fault, obtained from time-domain simulation. Rf and K R i represents the excitation current and rotor cumulative heating limit of the target generator f after the fault, obtained from time-domain simulation. Sf and K S The stator current and stator cumulative heating limit of the target generator f after the fault are obtained from the time-domain simulation.

[0137] (3) Using the particle swarm optimization algorithm, the optimal mathematical model of the remote voltage regulation control unit parameters is solved to obtain K. Q T Q The parameter settings for T1, T2, T3, and t4.

[0138] Therefore, this invention identifies severely voltage-instability buses through time-domain simulation; then identifies generators with strong support capabilities for these buses; and finally, it determines an optimized voltage regulation function scheme for these generators. This method considers the combined effects of generator location, reactive power capacity, and excitation regulator performance on voltage support. The optimization method is highly operable and has good practical application in engineering.

[0139] Exemplary device

[0140] Figure 2 This is a schematic diagram of the structure of a generator control device provided in an exemplary embodiment of the present invention.

[0141] like Figure 2 As shown, the device 200 includes:

[0142] The judgment module 210 is used to perform time-domain simulation of the target power grid to determine whether there is a severely voltage unstable bus.

[0143] Module 220 is used to identify a target generator that provides strong support to a bus with severe voltage instability if such a bus exists.

[0144] The optimization module 230 is used to optimize the voltage regulation function of the target generator to obtain an optimized voltage regulation function scheme for the target generator.

[0145] The control module 240 is used to control the target generator using a voltage regulation function optimization scheme.

[0146] Optionally, the judgment module 210 includes:

[0147] The simulation submodule is used to perform time-domain simulation of the target power grid and obtain the voltage curves of each load bus of the receiving-end power grid after a fault.

[0148] The judgment submodule is used to determine whether the preset criteria are met based on the voltage curve of each load bus. If the criteria are met, the load bus is determined to be a severely voltage unstable bus.

[0149] Optionally, the preset criteria are: the transient voltage cannot recover to 0.8pu within 10s and the medium- and long-term voltage of the load bus cannot recover to 0.9pu.

[0150] Optionally, the target generator identified in module 220 that provides strong support to the severely voltage-instability bus includes:

[0151] The first calculation submodule is used to calculate the reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the j-th severely voltage-instability bus. ij ;

[0152] The second calculation submodule is used to calculate based on the reactive voltage sensitivity λ. ij Calculate the average reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the severely voltage-instability bus. si ;

[0153] The third calculation submodule is used to calculate based on the average reactive voltage sensitivity λ. si Calculate the voltage performance index E of the i-th generator in the receiving-end power grid. i ;

[0154] The selection submodule is used to select the generator corresponding to the maximum value of the support voltage efficiency index of each generator in the receiving-end power grid as the target generator that has a strong support effect on the severely voltage unstable bus.

[0155] Optionally, reactive voltage sensitivity λ ij The calculation expression is:

[0156]

[0157] In the formula, U j Let Q be the voltage of the j-th severely unstable bus. i Let Δ represent the reactive power output of the i-th generator, and let Δ represent the change.

[0158] Average reactive voltage sensitivity λ si The calculation expression is:

[0159]

[0160] In the formula, m is the number of buses with severe voltage instability;

[0161] Support voltage performance index E i The calculation expression is:

[0162] Ei =λ si ×Q ri ×K i

[0163] In the formula, Q ri K is the rated reactive power output of the i-th generator. i Let be the voltage excitation multiple of the i-th generator.

[0164] Optionally, the optimization module 230 includes:

[0165] An extension submodule is used to extend the excitation function of the target generator and add a remote voltage regulation control unit;

[0166] The construction submodule is used to construct the parameter optimization mathematical model and constraints of the remote voltage regulation control unit;

[0167] The solver submodule is used to solve the parameter optimization mathematical model based on constraints using the particle swarm optimization algorithm to obtain the setting parameters of the remote voltage regulation control unit.

[0168] The determination submodule is used to determine the optimization scheme for the voltage regulation function based on the set parameters and the remote voltage regulation control unit.

[0169] Optionally, the transfer function G of the remote voltage regulation control unit f (s) is:

[0170]

[0171] In the formula, U a The output of the remote voltage regulation control unit is superimposed on the voltage setpoint of the excitation regulator of the target generator f; U b For the input of the remote voltage regulation control unit, select the voltage change of the w-th severely voltage unstable bus corresponding to the maximum value of the reactive voltage sensitivity of the target generator f to the severely voltage unstable bus; K Q T is the magnification factor. Q T1, T2, T3, and T4 are time constants, and s is the Laplace operator.

[0172] Optionally, the objective function of the parameter optimization mathematical model is:

[0173]

[0174] In the formula, U w (t) and U w0 The voltage and initial voltage values ​​of the w-th severely voltage unstable bus after the fault are obtained from the time-domain simulation, where t0 is the fault occurrence time and T is the simulation termination time.

[0175] The constraints include:

[0176] U f ≤U max

[0177]

[0178] In the formula, U f and U max i represents the terminal voltage and maximum allowable terminal voltage of the target generator f after the fault, obtained from time-domain simulation. Rf and K R i represents the excitation current and rotor cumulative heating limit of the target generator f after the fault, obtained from time-domain simulation. Sf and K S The stator current and stator cumulative heating limit of the target generator f after the fault are obtained from the time-domain simulation.

[0179] Optionally, the setting parameters include: K Q T Q T1, T2, T3, T4.

[0180] Exemplary electronic devices

[0181] Figure 3 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. For example... Figure 3 As shown, the electronic device 30 includes one or more processors 31 and memory 32.

[0182] The processor 31 may be a central processing unit (CPU) or other form of processing unit with data processing and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0183] The memory 32 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 31 may execute the program instructions to implement the methods of the software programs of the various embodiments of the present invention described above, and / or other desired functions. In one example, the electronic device may also include an input device 33 and an output device 34, these components being interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0184] In addition, the input device 33 may also include, for example, a keyboard, a mouse, etc.

[0185] The output device 34 can output various information to the outside. The output device 34 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0186] Of course, for the sake of simplicity, Figure 3 Only some of the components of this electronic device relevant to the present invention are shown, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device may include any other suitable components depending on the specific application.

[0187] Exemplary computer program products and computer-readable storage media

[0188] In addition to the methods and apparatus described above, embodiments of the present invention may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0189] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of the present invention. The programming languages ​​include object-oriented programming languages ​​such as Java 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 computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0190] Furthermore, embodiments of the present invention may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps of the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0191] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable 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.

[0192] The basic principles of the present invention have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in the present invention are merely examples and not limitations, and should not be considered as essential features of each embodiment of the present invention. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the present invention to the necessity of employing the aforementioned specific details.

[0193] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For system embodiments, since they largely correspond to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0194] The block diagrams of devices, systems, devices, and systems involved in this invention are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, systems, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0195] The methods and systems of the present invention may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of the present invention are not limited to the order specifically described above unless otherwise specifically stated. Furthermore, in some embodiments, the present invention may also be implemented as a program recorded on a recording medium, the program comprising machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers recording media storing programs for performing the methods according to the present invention.

[0196] It should also be noted that in the systems, apparatus, and methods of the present invention, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered equivalents of the present invention. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the invention. Therefore, the invention is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0197] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the invention to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations therein.

Claims

1. A generator control method, characterized in that, include: Perform time-domain simulation of the target power grid to determine whether there are buses with severe voltage instability; If a severely voltage-instability bus exists, identify a target generator that provides strong support for the severely voltage-instability bus. The voltage regulation function of the target generator is optimized to obtain an optimized voltage regulation function scheme for the target generator; The target generator is controlled using the aforementioned voltage regulation function optimization scheme.

2. The method according to claim 1, characterized in that, Perform time-domain simulation of the target power grid to determine whether there are severely voltage-instability buses, including: Time-domain simulation of the target power grid was performed to obtain the voltage curves of each load bus of the receiving-end power grid after the fault. Based on the voltage curves of each load bus, determine whether the preset criteria are met. If they are met, the load bus is determined to be a severely voltage unstable bus.

3. The method according to claim 2, characterized in that, The preset criteria are: the transient voltage cannot recover to 0.8pu within 10s and the medium- and long-term voltage of the load bus cannot recover to 0.9pu.

4. The method according to claim 1, characterized in that, Identifying target generators that provide strong support to the severely voltage-instability bus includes: Calculate the reactive voltage sensitivity λ of the i-th generator to the j-th severely voltage unstable bus in the receiving-end power grid. ij ; According to the reactive voltage sensitivity λ ij Calculate the average reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the severely voltage-instability bus. si ; According to the average reactive voltage sensitivity λ si Calculate the voltage performance index E of the i-th generator in the receiving-end power grid. i ; The generator corresponding to the maximum value of the support voltage efficiency index of each generator in the receiving-end power grid is selected as the target generator that has a strong support effect on the severely voltage unstable bus.

5. The method according to claim 4, characterized in that, The reactive voltage sensitivity λ ij The calculation expression is: In the formula, U j Let Q be the voltage of the j-th severely unstable bus. i Let Δ represent the reactive power output of the i-th generator, and let Δ represent the change. The average reactive voltage sensitivity λ si The calculation expression is: In the formula, m is the number of buses with severe voltage instability; The supporting voltage performance index E i The calculation expression is: E i =λ si ×Q ri ×K i In the formula, Q ri K is the rated reactive power output of the i-th generator. i denoted as the voltage excitation multiple of the i-th generator.

6. The method according to claim 1, characterized in that, The voltage regulation function of the target generator is optimized to obtain an optimized voltage regulation function scheme for the target generator, including: The excitation function of the target generator is expanded by adding a remote voltage regulation control unit; Construct a mathematical model for parameter optimization and constraints for the remote voltage regulation control unit; The particle swarm optimization algorithm is used to solve the mathematical model for parameter optimization based on the constraints, thereby obtaining the setting parameters of the remote voltage regulation control unit; Based on the setting parameters and the remote voltage regulation control unit, an optimization scheme for the voltage regulation function is determined.

7. The method according to claim 6, characterized in that, The transfer function G of the remote voltage regulation control unit f (s) is: In the formula, U a The output of the remote voltage regulation control unit is superimposed on the voltage setpoint of the excitation regulator of the target generator f; U b For the input of the remote voltage regulation control unit, select the voltage change of the w-th severely voltage unstable bus corresponding to the maximum value of the reactive voltage sensitivity of the target generator f to the severely voltage unstable bus; K Q T is the magnification factor. Q T1, T2, T3, and T4 are time constants, and s is the Laplace operator.

8. The method according to claim 7, characterized in that, The objective function of the parameter optimization mathematical model is: In the formula, U w (t) and U w0 The voltage and initial voltage values ​​of the w-th severely voltage unstable bus after the fault are obtained from the time-domain simulation, where t0 is the fault occurrence time and T is the simulation termination time. The constraints include: IN f ≤U max In the formula, U f and U max i represents the terminal voltage and maximum allowable terminal voltage of the target generator f after the fault, obtained from time-domain simulation. Rf and K R i represents the excitation current and rotor cumulative heating limit of the target generator f after the fault, obtained from time-domain simulation. Sf and K S The stator current and stator cumulative heating limit of the target generator f after the fault are obtained from the time-domain simulation.

9. The method according to claim 7, characterized in that, The setting parameters include: K Q T Q T1, T2, T3, T4.

10. A generator control device, characterized in that, include: The judgment module is used to perform time-domain simulation of the target power grid to determine whether there are buses with serious voltage instability. The determination module is used to determine, if a severely voltage unstable bus exists, a target generator that provides strong support to the severely voltage unstable bus. An optimization module is used to optimize the voltage regulation function of the target generator to obtain an optimized voltage regulation function scheme for the target generator. The control module is used to control the target generator using the voltage regulation function optimization scheme.

11. The apparatus according to claim 10, characterized in that, The judgment module includes: The simulation submodule is used to perform time-domain simulation of the target power grid and obtain the voltage curves of each load bus of the receiving-end power grid after the fault. The judgment submodule is used to determine whether the preset criteria are met based on the voltage curve of each load bus. If the criteria are met, the load bus is determined to be a severely voltage unstable bus.

12. The apparatus according to claim 11, characterized in that, The preset criteria are: the transient voltage cannot recover to 0.8pu within 10s and the medium- and long-term voltage of the load bus cannot recover to 0.9pu.

13. The apparatus according to claim 10, characterized in that, The determination module identifies target generators that provide strong support to the severely voltage-instability bus, including: The first calculation submodule is used to calculate the reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the j-th severely voltage-instability bus. ij ; The second calculation submodule is used to calculate based on the reactive voltage sensitivity λ. ij Calculate the average reactive voltage sensitivity λ of the i-th generator in the receiving-end power grid to the severely voltage-instability bus. si ; The third calculation submodule is used to calculate based on the average reactive voltage sensitivity λ. si Calculate the voltage performance index E of the i-th generator in the receiving-end power grid. i ; The selection submodule is used to select the generator corresponding to the maximum value of the support voltage efficiency index of each generator in the receiving-end power grid as the target generator that has a strong support effect on the severely voltage unstable bus.

14. The apparatus according to claim 10, characterized in that, The optimization module includes: An extension submodule is used to extend the excitation function of the target generator and add a remote voltage regulation control unit; A construction submodule is used to construct the parameter optimization mathematical model and constraints of the remote voltage regulation control unit; The solution submodule is used to solve the parameter optimization mathematical model based on the constraints using the particle swarm optimization algorithm to obtain the setting parameters of the remote voltage regulation control unit; The determination submodule is used to determine the optimization scheme of the voltage regulation function based on the setting parameters and the remote voltage regulation control unit.

15. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for performing the method described in any one of claims 1-9.

16. An electronic device, characterized in that, The electronic device includes: processor; Memory used to store the processor's executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1-9.

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