Frequency stability quantitative control method and device for coping with multiple fault impacts

Abstract

The application discloses a frequency stability quantitative control method and device for coping with multiple fault impacts. The method comprises the following steps: aggregating power system unit parameters and load parameters required by an acquired frequency response model, and equivalently forming a single-machine model; and according to model parameters of the single-machine model and the power system unit parameters, a pre-derived power system control measure quantity calculation formula is used to determine a control measure quantity of the power system, wherein the control measure quantity is used to prevent a maximum value of a frequency deviation of a generator after a disturbance from exceeding a preset threshold value.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and more specifically, to a frequency stability quantization control method and apparatus for dealing with multiple fault impacts. Background Technology

[0002] With the gradual implementation of energy strategies, the emergence of large-scale power bases, and the gradual increase in the transmission power of ultra-high voltage direct current transmission systems, the safe and stable operation of AC / DC systems has become increasingly complex, and the safety and stability issues of AC / DC systems have attracted more and more attention.

[0003] In AC / DC system safety and stability research, frequency stability is a crucial component. When faults such as commutation failure or DC blockage occur at the DC end, a significant power deficit arises between the load and generator, causing the frequency to increase or decrease beyond its limits. With the increasing proportion of renewable energy integration, disturbances can easily lead to cascading faults, resulting in scenarios with multiple fault impacts on the system. For example, in the UK's "8.9" blackout, lightning strikes caused line short circuits and tripping, triggering the first distributed generation disconnection. Subsequently, the Horn offshore wind farm disconnected and the Little Bafford power station units unexpectedly shut down, causing the system frequency change rate to exceed the protection threshold of power electronic equipment, leading to a second large-scale disconnection of distributed generation. This exceeded the UK grid's 1000MW frequency regulation capacity limit, ultimately triggering low-frequency load shedding and causing severe economic losses. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a frequency stabilization quantization control method and apparatus for coping with multiple fault impacts.

[0005] According to one aspect of the present invention, a frequency stabilization quantization control method for responding to multiple fault impacts is provided, comprising:

[0006] The parameters of each unit and load of the power system required for the frequency response model are aggregated and converted into an equivalent single-unit model.

[0007] Based on the model parameters of the single-unit model and the parameters of each unit in the power system, the control measures of the power system are determined using the pre-derived calculation formulas for the power system control measures. These control measures are used to prevent the maximum frequency deviation of the generators from exceeding a preset threshold after a disturbance. The calculation formulas for these control measures are as follows:

[0008]

[0009] in,

[0010]

[0011] In the formula, ΔP2 is the control measure quantity, D is the load frequency regulation coefficient, R is the governor droop coefficient of the system equivalent to a single machine model, and T R Let T1 and T2 be the reheater time constants of the unit in the equivalent single-unit model of the system, and let ω be the natural oscillation angular frequency. n The intermediate variables related to the damping ratio ζ are ΔP0 and ΔP1, which are the monitored system disturbance magnitudes. The time when disturbance ΔP0 occurs is defined as time zero, and t1 is the time when disturbance ΔP1 occurs. Δf m t2 represents the maximum system frequency deviation when control measures are taken, and t2 represents the time when control measures are taken.

[0012] Optionally, the formulas for calculating parameters T1 and T2 are as follows:

[0013]

[0014]

[0015] in,

[0016]

[0017]

[0018] Among them, w n Let ω be the natural oscillation angular frequency, ζ be the damping ratio, D be the load frequency regulation coefficient, R be the governor droop coefficient in the equivalent single-machine model of the system, and T be the frequency of the natural oscillation. R For the unit reheater time constants of the equivalent single-unit model of the system, H and F H These represent the inertial time constant and the high-pressure cylinder power ratio, respectively, of the equivalent single-machine model of the system.

[0019] Optionally, the process of aggregating the power system unit parameters and load parameters required for the obtained frequency response model and converting them into a single-unit model includes:

[0020] To obtain the power system unit parameters and load parameters required for the frequency response model, including the load frequency regulation coefficient D, the governor droop coefficient of each unit, the reheater time constant of the unit, the high-pressure cylinder power ratio, the unit inertial time constant, and the unit capacity.

[0021] Equivalent calculations were performed on the parameters of each generating unit and the load parameters to convert the power system into a single-unit model. The calculation formulas are as follows:

[0022] K mi =S i / S sys

[0023]

[0024]

[0025]

[0026]

[0027]

[0028] Among them, K mi S is the ratio of unit capacity to system capacity. i For unit capacity, S sys The sum of the unit capacities, R, H, T R and F H These represent the governor speed gain, inertia time constant, reheater time constant, and high-pressure cylinder power ratio, respectively, after the equivalent single-machine model of the power system. i To calculate intermediate variables, N is the number of units, R i H i T Ri and F Hi These are the governor droop coefficient, inertia time constant, reheater time constant, and high-pressure cylinder power ratio of the i-th unit, respectively.

[0029] According to another aspect of the present invention, a frequency stabilization quantization control device for responding to multiple fault impacts is provided, comprising:

[0030] The equivalent module includes aggregating the power system unit parameters and load parameters required for the acquired frequency response model and converting them into a single-unit model.

[0031] The determination module is used to determine the control measures of the power system based on the model parameters of the single-machine model and the parameters of each unit in the power system, using pre-derived calculation formulas for power system control measures. These control measures are used to prevent the maximum frequency deviation of the generators from exceeding a preset threshold after a disturbance. The calculation formulas for these control measures are as follows:

[0032]

[0033] in,

[0034]

[0035] In the formula, ΔP2 is the control measure quantity, D is the load frequency regulation coefficient, R is the governor droop coefficient of the system equivalent to a single machine model, and T R Let T1 and T2 be the reheater time constants of the unit in the equivalent single-unit model of the system, and let ω be the natural oscillation angular frequency. nThe intermediate variables related to the damping ratio ζ are ΔP0 and ΔP1, which are the monitored system disturbance magnitudes. The time when disturbance ΔP0 occurs is defined as time zero, and t1 is the time when disturbance ΔP1 occurs. Δf m t2 represents the maximum system frequency deviation when control measures are taken, and t2 represents the time when control measures are taken.

[0036] 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.

[0037] 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.

[0038] Therefore, this invention addresses the constraint of the maximum transient frequency deviation after a power system disturbance, determining the start time and required amount of generator tripping control when control measures are needed. By implementing control measures in advance when a cascading fault occurs, the maximum frequency deviation can be prevented from exceeding the threshold and triggering the power system's three lines of defense, providing important guidance for improving system frequency stability. Attached Figure Description

[0039] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:

[0040] Figure 1 This is a flowchart illustrating a frequency stabilization quantization control method for responding to multiple fault impacts provided in an exemplary embodiment of the present invention.

[0041] Figure 2 This is a schematic diagram of a system frequency response model provided in an exemplary embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of the frequency response under multiple perturbations provided in an exemplary embodiment of the present invention;

[0043] Figure 4 This is a schematic diagram of an IEEE 9-node wiring diagram provided in an exemplary embodiment of the present invention;

[0044] Figure 5 yes Figure 4 Schematic diagram of frequency deviation curves with and without control measures under different wiring configurations;

[0045] Figure 6 yes Figure 4 Schematic diagram of generator mechanical power curves with and without control measures under different wiring configurations;

[0046] Figure 7 This is a schematic diagram of the structure of a frequency stabilization quantization control device for responding to multiple fault impacts provided in an exemplary embodiment of the present invention;

[0047] Figure 8 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. Detailed Implementation

[0048] 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.

[0049] 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.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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.

[0055] 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.

[0056] 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.

[0057] 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.

[0058] 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.

[0059] 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 electronic devices such as terminal devices, computer systems, and servers 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.

[0060] 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.

[0061] Exemplary methods

[0062] Figure 1 This is a flowchart illustrating a frequency stabilization quantization control method for responding to multiple fault impacts, provided by an exemplary embodiment of the present invention. This embodiment can be applied to electronic devices, such as… Figure 1 As shown, the frequency stabilization quantization control method 100 for responding to multiple fault impacts includes the following steps:

[0063] Step 101: Aggregate the power system unit parameters and load parameters required for the obtained frequency response model and convert them into a single-unit model;

[0064] Based on the model parameters of the single-unit model and the parameters of each unit in the power system, the control measures of the power system are determined using the pre-derived calculation formulas for the power system control measures. These control measures are used to prevent the maximum frequency deviation of the generators from exceeding a preset threshold after a disturbance. The calculation formulas for these control measures are as follows:

[0065]

[0066] in,

[0067]

[0068] In the formula, ΔP2 is the control measure quantity, D is the load frequency regulation coefficient, R is the governor droop coefficient of the system equivalent to a single machine model, and T R Let T1 and T2 be the reheater time constants of the unit in the equivalent single-unit model of the system, and let ω be the natural oscillation angular frequency. n The intermediate variables related to the damping ratio ζ are ΔP0 and ΔP1, which are the monitored system disturbance magnitudes. The time when disturbance ΔP0 occurs is defined as time zero, and t1 is the time when disturbance ΔP1 occurs. Δf m t2 represents the maximum system frequency deviation when control measures are taken, and t2 represents the time when control measures are taken.

[0069] Optionally, the formulas for calculating parameters T1 and T2 are as follows:

[0070]

[0071]

[0072] in,

[0073]

[0074]

[0075] Among them, w n Let ω be the natural oscillation angular frequency, ζ be the damping ratio, D be the load frequency regulation coefficient, R be the governor droop coefficient in the equivalent single-machine model of the system, and T be the frequency of the natural oscillation. R For the unit reheater time constants of the equivalent single-unit model of the system, H and F H These represent the inertial time constant and the high-pressure cylinder power ratio, respectively, of the equivalent single-machine model of the system.

[0076] Optionally, the process of aggregating the power system unit parameters and load parameters required for the obtained frequency response model and converting them into a single-unit model includes:

[0077] To obtain the power system unit parameters and load parameters required for the frequency response model, including the load frequency regulation coefficient D, the governor droop coefficient of each unit, the reheater time constant of the unit, the high-pressure cylinder power ratio, the unit inertial time constant, and the unit capacity.

[0078] Equivalent calculations were performed on the parameters of each generating unit and the load parameters to convert the power system into a single-unit model. The calculation formulas are as follows:

[0079] K mi =S i / S sys

[0080]

[0081]

[0082]

[0083]

[0084]

[0085] Among them, K mi S is the ratio of unit capacity to system capacity. i For unit capacity, S sys The sum of the unit capacities, R, H, T R and F H These represent the governor speed gain, inertia time constant, reheater time constant, and high-pressure cylinder power ratio, respectively, after the equivalent single-machine model of the power system. i To calculate intermediate variables, N is the number of units, R i H i T Ri and F Hi These are the governor droop coefficient, inertia time constant, reheater time constant, and high-pressure cylinder power ratio of the i-th unit, respectively.

[0086] Specifically, this solution includes the following steps:

[0087] A. Obtain the unit parameters and load parameters required for the frequency response model, aggregate the unit parameters, and convert them into a single-unit model;

[0088] B, such as Figure 2 As shown, a system frequency response model is established based on the equivalent single-machine system after parameter aggregation, and the frequency response transfer function expression in the complex frequency domain is obtained.

[0089] C. Derive the frequency response expression under multiple perturbations, and perform an inverse Laplace transform on the frequency transfer function to obtain the frequency response expression in the time domain;

[0090] D. Find the extreme value of the time-domain expression of the frequency response obtained in step C to obtain the maximum value of the frequency deviation and its occurrence time. Then, given parameters such as the maximum allowable value of the transient frequency deviation and the load level, solve ΔP2 through a numerical algorithm to obtain the magnitude of the control measures that ensure the frequency deviation does not exceed the threshold.

[0091] Steps B through D are the derivation process of the formula for the control measure quantity ΔP2.

[0092] In step A, the parameters of each unit and the load parameters required for the frequency response model are obtained, and the parameters of the units are aggregated and converted into a single-unit model. This mainly includes:

[0093] (1) Obtain the parameters of each unit and the load parameters required for the frequency response model, including the load frequency regulation coefficient D and the droop coefficient R of each unit's governor. i The reheater time constant T of the unit Ri High-pressure cylinder power ratio F Hi Generator inertial time constant H i Generator capacity S i .

[0094] (2) Based on the parameters obtained in (1), perform equivalent calculations on the unit parameters, and convert the system into a single-unit model. The calculation formula is as follows:

[0095] K mi =S i / S sys (1)

[0096]

[0097]

[0098]

[0099]

[0100]

[0101] Among them, K mi S is the ratio of unit capacity to system capacity. i Unit capacity; S sys The sum of the unit capacities; R, H, T R and F H These are the governor speed gain, inertia time constant, reheater time constant, and high-pressure cylinder power ratio after the unit is equivalent; λ i For calculation of intermediate variables; N is the number of units; R i H i T Riand F Hi These are the governor droop coefficient, inertia time constant, reheater time constant, and high-pressure cylinder power ratio of the i-th unit, respectively.

[0102] In step B, a system frequency response model is established based on the equivalent single-machine system after parameter aggregation, and the frequency response transfer function expression in the complex frequency domain is obtained, mainly including:

[0103] (1) Establish a system frequency response model based on the equivalent single-machine system after parameter aggregation, such as... Figure 2 As shown, its input is the system disturbance ΔP L The output is the system frequency deviation Δf COI .

[0104] (2) Establish the transfer function for the system frequency response model, and obtain the system transfer function expression as follows:

[0105]

[0106]

[0107]

[0108] In the formula, ω n ζ is the natural oscillation angular frequency, and ζ is the damping ratio.

[0109] In step C, the frequency response expression under multiple perturbations is derived, and the frequency response expression in the time domain is obtained by performing an inverse Laplace transform on the frequency transfer function. This mainly includes:

[0110] (1) The frequency response under multiple disturbances is shown in the attached figure. Figure 3 As shown, considering two step disturbances and taking control measures, the disturbance power expression is as follows:

[0111] ΔP L (t)=ΔP0+ΔP1ε(t-t1)-ΔP2ε(t-t2) (10)

[0112] In the formula, t1 is the time when the second disturbance occurs, t2 is the time when control measures are taken, ΔP0 is the power of the first disturbance, ΔP1 is the power of the second disturbance, and ΔP2 is the magnitude of the control quantity. In the case of high frequency, it is the tripping of the machine, and in the case of low frequency, it is the shedding of the load.

[0113] (2) Taking the Laplace transform of equation (10) and substituting it into the system transfer function of equation (7), we obtain the complex frequency domain expression as follows:

[0114]

[0115] In the formula,

[0116] (3) Perform partial fraction expansion on equation (11) and inverse Laplace transform to obtain the time-domain expression of the frequency response:

[0117]

[0118] In step D, the extreme value of the time-domain expression of the frequency response obtained in step C is calculated to obtain the maximum frequency deviation and its occurrence time. Then, given parameters such as the allowable maximum transient frequency deviation and load level, ΔP2 is solved using a numerical algorithm to obtain the magnitude of control measures that ensure the frequency deviation does not exceed the threshold. These measures mainly include:

[0119] (1) Take the derivative of the time-domain expression (12) and set its derivative value to 0 to obtain the time when the maximum frequency deviation occurs:

[0120]

[0121] (2) Substituting equation (13) into the time-domain expression (12), we obtain the maximum frequency deviation:

[0122]

[0123] (3) Maximum allowable deviation Δf for a given frequency m The least squares method is used to solve the nonlinear equation system ΔP2=F(Δf m ,ΔP0,ΔP1,H,D...), calculate the control measure quantity ΔP2.

[0124] In the formula: D is the load frequency regulation coefficient, R is the governor droop coefficient after system equivalent, TR is the unit reheater time constant after system equivalent, T1 and T2 are intermediate variables related to the natural oscillation angular frequency n and damping ratio, ΔP0 and ΔP1 are the monitored system disturbance magnitudes, the time when disturbance ΔP0 occurs is denoted as time zero, t1 is the time when disturbance ΔP1 occurs, and Δf m t2 represents the maximum system frequency deviation when control measures are taken, and t2 is the time when control measures are taken. Output: ΔP2 is the magnitude of the control variable to be determined.

[0125] also, Figure 4 Wiring diagram for IEEE 9-node connection; Figure 5 The disturbance was set as two power surges, generating a total power surplus of 55MW. The maximum frequency deviation control target was 0.75Hz. The system frequency curves were compared between the implementation of 18.4MW turbine tripping control measures and the implementation of no turbine tripping control measures at t=0.33s. Figure 6The disturbance was set as two power surges, generating a total power surplus of 55MW. The maximum frequency deviation control target was 0.75Hz. The generator mechanical power curves were compared between taking 18.4MW of generator tripping control measures and not taking generator tripping control measures at t=0.33s.

[0126] Therefore, this invention designs a frequency stability quantitative control method to cope with multiple fault impacts. Addressing the constraint of the maximum transient frequency deviation after power system disturbances, it determines the start time and required amount of generator tripping control when control measures are needed. By implementing control in advance when cascading faults occur, the maximum frequency deviation can be prevented from exceeding the threshold and triggering the power system's three lines of defense, providing important guidance for improving system frequency stability.

[0127] Exemplary device

[0128] Figure 7 This is a schematic diagram of the structure of a frequency stabilization quantization control device for responding to multiple fault impacts, provided in an exemplary embodiment of the present invention. Figure 7 As shown, the device 700 includes:

[0129] The equivalent module 710 includes aggregating the power system unit parameters and load parameters required for the acquired frequency response model and converting them into a single-unit model.

[0130] The determination module 720 is used to determine the control measures of the power system based on the model parameters of the single-machine model and the parameters of each unit in the power system, using a pre-derived calculation formula for the power system control measures. These control measures are used to prevent the maximum frequency deviation of the generators from exceeding a preset threshold after a disturbance. The calculation formula for the control measures is as follows:

[0131]

[0132] in,

[0133]

[0134] In the formula, ΔP2 is the control measure quantity, D is the load frequency regulation coefficient, R is the governor droop coefficient of the system equivalent to a single machine model, and T R Let T1 and T2 be the reheater time constants of the unit in the equivalent single-unit model of the system, and let ω be the natural oscillation angular frequency. n The intermediate variables related to the damping ratio ζ are ΔP0 and ΔP1, which are the monitored system disturbance magnitudes. The time when disturbance ΔP0 occurs is defined as time zero, and t1 is the time when disturbance ΔP1 occurs. Δf m t2 represents the maximum system frequency deviation when control measures are taken, and t2 represents the time when control measures are taken.

[0135] Optionally, the formulas for calculating parameters T1 and T2 are as follows:

[0136]

[0137]

[0138] in,

[0139]

[0140]

[0141] Among them, w n Let ω be the natural oscillation angular frequency, ζ be the damping ratio, D be the load frequency regulation coefficient, R be the governor droop coefficient in the equivalent single-machine model of the system, and T be the frequency of the natural oscillation. R For the unit reheater time constants of the equivalent single-unit model of the system, H and F H These represent the inertial time constant and the high-pressure cylinder power ratio, respectively, of the equivalent single-machine model of the system.

[0142] Optionally, the equivalent module 710 includes:

[0143] The acquisition submodule is used to acquire the power system unit parameters and load parameters required by the frequency response model, including the load frequency regulation coefficient D, the governor droop coefficient of each unit, the reheater time constant of the unit, the high-pressure cylinder power ratio, the unit inertial time constant, and the unit capacity.

[0144] The equivalent submodule is used to perform equivalent calculations on the parameters of each unit and the load parameters, converting the power system into a single-unit model. The calculation formulas are as follows:

[0145] K mi =S i / S sys

[0146]

[0147]

[0148]

[0149]

[0150]

[0151] Among them, K mi S is the ratio of unit capacity to system capacity. i For unit capacity, S sys The sum of the unit capacities, R, H, T R and F HThese represent the governor speed gain, inertia time constant, reheater time constant, and high-pressure cylinder power ratio, respectively, after the equivalent single-machine model of the power system. i To calculate intermediate variables, N is the number of units, R i H i T Ri and F Hi These are the governor droop coefficient, inertia time constant, reheater time constant, and high-pressure cylinder power ratio of the i-th unit, respectively.

[0152] Exemplary electronic devices

[0153] Figure 8 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. For example... Figure 8 As shown, the electronic device 80 includes one or more processors 81 and memory 82.

[0154] The processor 81 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0155] The memory 82 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 81 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 83 and an output device 84, these components being interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0156] In addition, the input device 83 may also include, for example, a keyboard, a mouse, etc.

[0157] The output device 84 can output various information to the outside. The output device 84 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0158] Of course, for the sake of simplicity, Figure 8Only some of the components of the 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.

[0159] Exemplary computer program products and computer-readable storage media

[0160] 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.

[0161] 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.

[0162] 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 for information mining of historical change records according to various embodiments of the present invention as described in the "Exemplary Methods" section above.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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 frequency stabilization quantization control method for coping with multiple fault impacts, characterized in that, include: The parameters of each unit and load of the power system required for the frequency response model are aggregated and converted into an equivalent single-unit model. Based on the model parameters of the single-unit model and the parameters of each unit in the power system, the control measures of the power system are determined using the pre-derived calculation formula for the power system control measures. These control measures are used to prevent the maximum frequency deviation of the generators from exceeding a preset threshold after a disturbance. The calculation formula for these control measures is as follows: in, In the formula, To control the amount of measures, D For load frequency regulation coefficient, R The governor droop coefficient is the equivalent speed controller droop coefficient in the single-machine model of the system. T R The reheater time constant of the unit in the equivalent single-unit model of the system. T 1. T 2 is the natural oscillation angular frequency w n Intermediate variables related to the calculation of damping ratio ζ , To record the magnitude of the detected system disturbance, record the disturbance. The occurrence time is time zero. t 1 represents a disturbance At the moment of occurrence, This represents the maximum system frequency deviation when control measures are implemented. When to take control measures.

2. The method according to claim 1, characterized in that, parameter T 1. T The formula for calculating 2 is as follows: in, in, Let ω be the natural oscillation angular frequency, and ζ be the damping ratio. D For load frequency regulation coefficient, R The governor droop coefficient is the equivalent speed controller droop coefficient in the single-machine model of the system. T R The reheater time constant of the unit in the equivalent single-unit model of the system. H and F H These represent the inertial time constant and the high-pressure cylinder power ratio, respectively, of the equivalent single-machine model of the system.

3. The method according to claim 1, characterized in that, The process of aggregating the power system unit parameters and load parameters required for the obtained frequency response model and converting them into a single-unit model includes: The parameters of each generating unit and load in the power system required to obtain the frequency response model include the load frequency regulation coefficient. D droop coefficient of each unit's speed governor R i Reheater time constants for each unit T Ri High-pressure cylinder power ratio F Hi Unit inertial time constant H i Unit capacity S i ; Equivalent calculations are performed on the parameters of each generating unit and the load parameters to convert the power system into an equivalent single-unit model. The calculation formulas are as follows: in, K mi Let be the ratio of the capacity of the i-th generating unit to the system capacity. S i Let i be the capacity of the i-th unit. The sum of the unit capacities. R , H , T R and F H These represent the governor droop coefficient, inertia time constant, unit reheater time constant, and high-pressure cylinder power ratio in the equivalent single-unit model of the power system. To calculate intermediate variables, N This refers to the number of generating units.

4. A frequency stabilization quantization control device for coping with multiple fault impacts, characterized in that, include: The equivalent module includes aggregating the power system unit parameters and load parameters required for the acquired frequency response model and converting them into a single-unit model. The determination module is used to determine the control measures of the power system based on the model parameters of the single-machine model and the parameters of each unit of the power system, using a pre-derived calculation formula for the control measures of the power system. These control measures are used to prevent the maximum frequency deviation of the generators from exceeding a preset threshold after a disturbance. The calculation formula for these control measures is as follows: in, In the formula, To control the amount of measures, D For load frequency regulation coefficient, R The governor droop coefficient is the equivalent speed controller droop coefficient in the single-machine model of the system. T R The reheater time constant of the unit in the equivalent single-unit model of the system. T 1. T 2 is the natural oscillation angular frequency w n Intermediate variables related to the calculation of damping ratio ζ , To record the magnitude of the detected system disturbance, record the disturbance. The occurrence time is time zero. t 1 represents a disturbance At the moment of occurrence, This represents the maximum system frequency deviation when control measures are implemented. When to take control measures.

5. The apparatus according to claim 4, characterized in that, parameter T 1. T The formula for calculating 2 is as follows: in, in, Let ω be the natural oscillation angular frequency, and ζ be the damping ratio. D For load frequency regulation coefficient, R The governor droop coefficient is the equivalent speed controller droop coefficient in the single-machine model of the system. T R The reheater time constant of the unit in the equivalent single-unit model of the system. H and F H These represent the inertial time constant and the high-pressure cylinder power ratio, respectively, of the equivalent single-machine model of the system.

6. The apparatus according to claim 4, characterized in that, Equivalence modules, including: The acquisition submodule is used to acquire the parameters of each unit and load of the power system required by the frequency response model, including the load frequency regulation coefficient. D droop coefficient of each unit's speed governor R i Reheater time constants for each unit T Ri High-pressure cylinder power ratio F Hi Unit inertial time constant H i Unit capacity S i ; The equivalent submodule is used to perform equivalent calculations on the parameters of each generating unit and the load parameters, converting the power system into an equivalent single-unit model. The calculation formula is as follows: in, K mi The ratio of unit capacity to system capacity. S i For unit capacity, The sum of the unit capacities. R , H , T R and F H These are the governor droop coefficient, inertia time constant, unit reheater time constant, and high-pressure cylinder power ratio, respectively, in the equivalent single-unit model of the power system. To calculate intermediate variables, N This refers to the number of generating units.

7. 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 1-3.

8. 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 1-3.

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