Method, device and equipment for suppressing power system wide frequency oscillation and storage medium
By adjusting the parameters of the relevant damping controller, the relationship between the aggregate damping torque coefficient and the real part of the eigenvalue was analyzed and fitted, which solved the problem that existing technologies are unable to suppress broadband oscillations in new power systems and achieved an improvement in system damping.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-09
- Publication Date
- 2026-03-17
AI Technical Summary
Existing energy flow methods are mainly used to analyze low-frequency oscillations in traditional power systems dominated by conventional synchronous generators, and are difficult to extend to broadband oscillation analysis and suppression in new power systems dominated by new energy sources and power electronic converters.
By adjusting the parameters of the system's relevant damping controller, the relationship between the aggregate damping torque coefficient and the real part of the eigenvalue is analyzed, and a linear relationship is fitted to improve system damping and suppress broadband oscillations.
It effectively suppressed broadband oscillations in the new power system and improved the system's damping characteristics.
Smart Images
Figure CN115459302B_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of power system control technology, and in particular relates to a method, apparatus, equipment and computer-readable storage medium for suppressing broadband oscillations in power systems. Background Technology
[0002] The energy flow method, also known as the oscillation energy flow method, is a highly efficient method for monitoring and analyzing various power oscillations in power systems. Its working principle involves monitoring the attenuation of the oscillation energy flow to effectively reflect the damping information of power oscillations in the system, thereby assisting power system operators in conducting system oscillation stability analysis and making operational safety decisions. The energy flow method is an analytical method, and its data input device is a phasor measurement unit (PMU).
[0003] Current energy flow methods are mainly used to analyze low-frequency oscillations in traditional power systems dominated by conventional synchronous generators. There is an urgent need to extend this method to analyze and suppress broadband oscillations in new power systems dominated by renewable energy sources and power electronic converters. Summary of the Invention
[0004] This application provides a method, apparatus, device, and computer-readable storage medium for suppressing broadband oscillations in a power system, which can suppress broadband oscillations by adjusting relevant parameters of a system-related damping controller.
[0005] In a first aspect, embodiments of this application provide a method for suppressing broadband oscillations in a power system, comprising:
[0006] In a dominant oscillation mode of a control loop with two continuous integral elements in a measured power generation unit, the aggregate damping torque coefficient and the real part of the eigenvalue of the dominant oscillation mode of the control loop are obtained respectively, corresponding to multiple values of the relevant parameters of the relevant damping controller.
[0007] A first linear relationship between the polymer-like damping torque coefficient and the real part of the eigenvalue is obtained by fitting;
[0008] A second linear relationship is obtained between the aggregate-like damping torque coefficient and the relevant parameters of the relevant damping controller by fitting.
[0009] If the damping of the power system is insufficient, the damping is increased by adjusting the relevant parameters of the relevant damping controller according to the first linear relationship and the second linear relationship, so as to suppress broadband oscillations.
[0010] Secondly, embodiments of this application provide a power system broadband oscillation suppression device, comprising:
[0011] The acquisition unit is used to acquire the aggregated damping torque coefficient of the control loop as the object, corresponding to multiple values of the relevant parameters of the relevant damping controller, in a dominant oscillation mode involving a control loop of a power generation unit with two continuous integral elements.
[0012] The acquisition unit is also used to acquire the real part of the eigenvalue of the dominant oscillation mode involved in the control loop of the measured power generation unit, corresponding to multiple values of the relevant parameters of the relevant damping controller.
[0013] The computational unit is configured to fit a first linear relationship between the quasi-aggregate damping torque coefficient and the real part of the eigenvalue; and to fit a second linear relationship between the quasi-aggregate damping torque coefficient and the relevant parameters of the relevant damping controller.
[0014] An oscillation suppression unit is used to, if it is determined that the damping of the power system is insufficient, increase the damping by adjusting the relevant parameters of the relevant damping controller according to the first linear relationship and the second linear relationship, so as to suppress broadband oscillations.
[0015] Thirdly, embodiments of this application provide a power system broadband oscillation suppression device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method as described in any of the first aspects.
[0016] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method described in any of the first aspects.
[0017] Fifthly, embodiments of this application provide a computer program product that, when run on a terminal device, causes the terminal device to execute the method described in any one of the first aspects above.
[0018] It is understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.
[0019] The beneficial effects of this application embodiment compared with the prior art are: analyzing the relationship between the relevant parameters of the relevant damping controller of the power system and the quasi-aggregate damping torque coefficient, and the relationship between the quasi-aggregate damping torque coefficient and the real part of the eigenvalue, and improving the system damping by adjusting the relevant parameters of the relevant damping controller to achieve the effect of suppressing broadband oscillation. Attached Figure Description
[0020] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0021] Figure 1 This is a flowchart of a broadband oscillation suppression method provided in an embodiment of this application;
[0022] Figure 2 This is a schematic diagram of a quasi-electromechanical oscillating ring with two consecutive integral elements provided in an embodiment of this application;
[0023] Figure 3 This is a structural block diagram of a broadband oscillation suppression device provided in an embodiment of this application. Detailed Implementation
[0024] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0025] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.
[0026] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.
[0027] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."
[0028] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0029] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.
[0030] The power system broadband oscillation suppression method provided in this application embodiment can be applied to the broadband oscillation online monitoring solution of a new type of power system containing a large number of new energy sources and power electronic devices. The method is executed by a power system broadband oscillation suppression device, which consists of software and / or hardware and is generally integrated into the power system broadband oscillation suppression equipment.
[0031] Figure 1 This is a flowchart of the power system broadband oscillation suppression method provided in this embodiment. For example... Figure 1 As shown, the method for suppressing broadband oscillations in power systems includes the following steps:
[0032] S11, in a dominant oscillation mode involving a control loop of a measured power generation unit with two continuous integral elements, corresponding to multiple values of a related parameter of a related damping controller, obtain a quasi-aggregate damping torque coefficient for the control loop.
[0033] Before practical application, a time-domain formula for calculating the aggregated damping torque coefficient, with the control loop as the object, is derived. This time-domain formula can be stored in a computer and retrieved each time it is used to obtain the aggregated damping torque coefficient.
[0034] The derivation of the time-domain formula for calculating the aggregated damping torque coefficient, taking the control loop as the object, is as follows:
[0035] Construct a state-space model of the power system containing the measured power generation units after Fourier transform: Wherein, the measured power generation unit is the i-th power generation unit in the power system, ΔSV 1,i (jw) and ΔSV 2,i(jw) represents the first and second state variables involved in a control loop of the measured power generation unit with two consecutive integral elements, and ΔZ(jw) represents all other state variables of the measured power generation unit besides the first and second state variables. Let j be the state matrix, j be the imaginary unit, and w be the angular frequency variable.
[0036] Suppose the state equation associated with the second state variable is: jwΔSV 2,i (jw) = cF(jw); where cF(jw) is related to ΔSV. 2,i (jw) is a related function; c is the constant part of cF(jw) excluding all variables; F(jw) may be a single variable or a multivariate addition, subtraction, multiplication and division operation (but does not include the opposite operation) depending on the control loop being analyzed. The specific value of c varies depending on the control loop being analyzed.
[0037] By simultaneously solving the state-space model and the state equations, we can obtain the following relationship:
[0038]
[0039] Using the angular frequency w of the dominant oscillation mode of interest d Replacing 'w' in the relation, the resulting relation is transformed to the time domain, yielding the time-domain calculation formula for the aggregated damping torque coefficient of the measured power generation unit, with the control loop as the object. Among them, signal It is a type of speed variable signal ΔSV 2,i The speed-like variable signal ΔSV is obtained by (t) transformation. 2,i (t) is the second state variable ΔSV 2,i The time-domain form of (jw), the signal It is obtained by transforming the power variable signal F(t), which is the time-domain form of F(jw). F(jw) is the part of cF(jw) excluding the constant, and t is the time variable.
[0040] Based on the time-domain calculation formula, the specific process for calculating the aggregated damping torque coefficient corresponding to each value of the relevant parameter of the relevant damping controller is as follows:
[0041] S111, within a preset time period, acquire the speed-like variable signal ΔSV of the control loop of the measured power generation unit. 2,i (t) and the power variable signal F(t).
[0042] ΔSV 2,i (t) is the speed-like variable signal of the measured power generation unit at time t.
[0043] F(t) is the power-like variable signal of the measured power generation unit at time t.
[0044] In practical applications, the speed variable signal ΔSV 2,i The power variable signal F(t) and the power variable signal F(t) are measured by a phasor measurement unit (PMU).
[0045] S112, for the speed variable signal ΔSV 2,i (t) Perform a Fourier transform and obtain the angular frequency w of the dominant oscillation mode of interest involved in the control loop from the amplitude-frequency response image obtained by the transform. d .
[0046] Amplitude-frequency characteristics refer to the frequency-amplitude scatter plot of the signal obtained through Fourier transform. The angular frequency of the dominant oscillation mode involved in the control loop of the measured power generation unit can be obtained from the plot.
[0047] S113, the speed variable signal ΔSV 2,i (t) at angular frequency w d Perform Fourier decomposition at the point to obtain the signal.
[0048] S114, the power variable signal F(t) at angular frequency ω d Perform Fourier decomposition at the point to obtain the signal.
[0049] S115, signal and signal Substituting the time-domain formula for the aggregate damping torque coefficient, the angular frequency w is obtained. d The polymer-like damping torque coefficient at the location.
[0050] In large-scale power systems, the models and parameters of the power grid and power generation units are often unknown or frequently changing. This embodiment measures, processes, and transforms data based on the data at the power generation unit, eliminating the need to establish a high-order dynamic model containing a large number of new energy sources and power electronic converter interface systems, thus avoiding the possible curse of dimensionality in computational analysis.
[0051] In addition, this embodiment can acquire measurement data of various power generation units in the system (including systems with a large number of new energy sources and power electronic converters connected), with a wider data acquisition range and a larger data volume, thereby enabling the capture and monitoring of more system oscillation information. This is beneficial for analyzing the broadband oscillation damping mechanism introduced by new energy sources and power electronic converters, and proposing corresponding suppression strategies.
[0052] S12, corresponding to multiple values of the relevant parameters of the relevant damping controller, obtains the real part of the eigenvalues of the dominant oscillation mode involved in the control loop of the measured power generation unit.
[0053] In practical applications, there are various ways to obtain the real part of the eigenvalues using the signal at the measured power generation unit, such as the Prony method.
[0054] In this embodiment, a relevant parameter of the relevant damping controller can be the power system stabilizer gain. In other embodiments, a relevant parameter can be selected for analysis and control based on the actual relevant damping controller used.
[0055] S13, the first linear relationship between the polymer-like damping torque coefficient and the real part of the eigenvalue is obtained by fitting.
[0056] S14, the second linear relationship between the aggregate-like damping torque coefficient and the relevant damping controller parameters is obtained by fitting.
[0057] S15. If it is determined that the damping of the power system is insufficient, the damping is increased by adjusting the relevant parameters of the relevant damping controller according to the first linear relationship and the second linear relationship, so as to suppress broadband oscillation.
[0058] If the real part of the eigenvalue approaches or is greater than 0, then the power system is determined to be underdamped.
[0059] Based on the first and second linear relationships, the trend of the real part of the eigenvalues changing with the relevant parameters of the relevant damping controller is determined.
[0060] Based on the changing trend, adjust the relevant parameters of the damping controller to improve damping.
[0061] This can be understood as follows: according to the second linear relationship, the relevant parameters of the relevant damping controller first affect the quasi-aggregate damping torque coefficient; then, according to the first linear relationship, the quasi-aggregate damping torque coefficient affects the real part of the eigenvalue, i.e., the system damping. In this embodiment, the suppression method obtains the real part of the eigenvalue and the quasi-aggregate damping torque coefficient under multiple values of the relevant parameters of the relevant damping controller in a dominant oscillation mode. By analyzing the quantitative relationship between the real part of the eigenvalue, the quasi-aggregate damping torque coefficient, and the relevant parameters of the relevant damping controller, the complex damping mechanism of broadband oscillations in the system is revealed, the root cause of insufficient system damping is found, and the system damping is improved by adjusting the relevant parameters of the relevant damping controller, thereby suppressing broadband oscillations in the power system.
[0062] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0063] Corresponding to the suppression method in the above embodiments, Figure 3A structural block diagram of the suppression device provided in the embodiments of this application is shown. For ease of explanation, only the parts related to the embodiments of this application are shown.
[0064] Reference Figure 3 The suppression device 300 includes:
[0065] The acquisition unit 310 is used to acquire the aggregated damping torque coefficient of the control loop in a dominant oscillation mode involving a control loop of a measured power generation unit with two continuous integral elements, corresponding to multiple values of a related parameter of a related damping controller.
[0066] Furthermore, the acquisition unit 310 is also used to acquire the real part of the eigenvalue of the dominant oscillation mode involved in the control loop of the measured power generation unit, corresponding to multiple values of a related parameter of the related damping controller.
[0067] The computation unit 320 is used to fit a first linear relationship between the quasi-aggregate damping torque coefficient and the real part of the eigenvalue; it is also used to fit a second linear relationship between the quasi-aggregate damping torque coefficient and a related parameter of the relevant damping controller.
[0068] The oscillation suppression unit 330 is used to suppress broadband oscillations by adjusting the relevant parameters of the relevant damping controller according to the first linear relationship and the second linear relationship if it is determined that the damping of the power system is insufficient.
[0069] In this embodiment, the acquisition unit 310 is specifically used to obtain the time-domain calculation formula of the aggregated damping torque coefficient with the control loop as the object by derivation, or to retrieve the time-domain calculation formula of the aggregated damping torque coefficient from the computer storage unit, and calculate the aggregated damping torque coefficient based on the time-domain calculation formula.
[0070] The derivation process of the time-domain calculation formula for the aggregate damping torque coefficient of unit 310 includes:
[0071] Construct a state-space model of the power system containing the measured power generation units after Fourier transform: Wherein, the measured power generation unit is the i-th power generation unit in the power system, ΔSV 1,i (jw) and ΔSV 2,i (jw) represents the first and second state variables involved in a control loop of the measured power generation unit with two consecutive integral elements, and ΔZ(jw) represents all other state variables of the measured power generation unit besides the first and second state variables. Let j be the state matrix, j be the imaginary unit, and w be the angular frequency variable.
[0072] Suppose the state equation associated with the second state variable is: jwΔSV 2,i(jw) = cF(jw); where cF(jw) is related to ΔSV. 2,i (jw) is a function related to this; c is the constant part of cF(jw) excluding all variables.
[0073] By simultaneously solving the state-space model and the state equations, we can obtain the following relationship:
[0074]
[0075] Using the angular frequency w of the dominant oscillation mode of interest d Replacing 'w' in the relational expression, the resulting expression is transformed to the time domain, yielding the time-domain calculation formula for the aggregated damping torque coefficient, with the control loop of the measured power generation unit as the object. Among them, signal It is a type of speed variable signal ΔSV 2,i The speed-like variable signal ΔSV is obtained by (t) transformation. 2,i (t) is the second state variable ΔSV 2,i The time-domain form of (jw), the signal It is obtained by transforming the power variable signal F(t), which is the time-domain form of F(jw). F(jw) is the part of cF(jw) excluding the constant, and t is the time variable.
[0076] In practical applications, after the acquisition unit 310 obtains the time-domain calculation formula for the aggregated damping torque coefficient, the phasor measurement unit 311, corresponding to each value of a relevant parameter of the relevant damping controller, acquires the speed-like variable signal ΔSV of the measured power generation unit within a preset time period. 2,i (t) and the power variable signal F(t).
[0077] Signal conversion unit 312 is used to convert the speed variable signal ΔSV into a signal. 2,i (t) Perform a Fourier transform and obtain the angular frequency w of the dominant oscillation mode of interest involved in the control loop from the amplitude-frequency characteristics obtained by the transform. d .
[0078] The signal conversion unit 312 is also used to convert the speed variable signal ΔSV into a signal that is similar to a rotational speed variable. 2,i (t) at angular frequency w d Perform Fourier decomposition at the point to obtain the signal.
[0079] Furthermore, the signal conversion unit 312 is also used to convert the power variable signal F(t) at an angular frequency ω. d Perform Fourier decomposition at the point to obtain the signal.
[0080] Acquisition unit 310 is specifically used to acquire signals and signal Substituting the time-domain formula for the aggregate damping torque coefficient, the angular frequency w is obtained. d The polymer-like damping torque coefficient at the location.
[0081] Furthermore, the suppression device 300 also includes an oscillation suppression unit 330 for: determining the trend of the change of the real part of the eigenvalue with the change of a related parameter of the related damping controller according to the first linear relationship and the second linear relationship; and adjusting the related parameter of the related damping controller according to the trend of change to improve damping.
[0082] It should be noted that the information interaction and execution process between the above modules / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.
[0083] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0084] This application also provides a suppression device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the steps described in the above method embodiments.
[0085] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.
[0086] This application provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the above-described method embodiments.
[0087] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.
[0088] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0089] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0090] In the embodiments provided in this application, it should be understood that the disclosed apparatus / devices and methods can be implemented in other ways. For example, the apparatus / device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0091] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0092] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A method of suppressing power system wide frequency oscillations, characterized by, The application is applied to a power system mainly including new energy and power electronic converters, and comprises: In a dominant oscillation mode related to a control loop of a measured power generation unit having two continuous integral links, a plurality of values of a related parameter of a related damping controller, a class-aggregated damping torque coefficient of the control loop as an object is obtained respectively, and a real part of an eigenvalue of the dominant oscillation mode related to the control loop of the measured power generation unit is obtained respectively; A first linear relationship between the class-aggregated damping torque coefficient and the real part of the eigenvalue is fitted; A second linear relationship between the class-aggregated damping torque coefficient and the related parameter of the related damping controller is fitted; If damping of the power system is insufficient, the damping is improved by adjusting the related parameter of the related damping controller according to the first linear relationship and the second linear relationship, so as to suppress wide-frequency oscillation. In a dominant oscillation mode related to a control loop of a measured power generation unit having two continuous integral links, a plurality of values of a related parameter of a related damping controller, a class-aggregated damping torque coefficient of the control loop as an object is obtained respectively, and a real part of an eigenvalue of the dominant oscillation mode related to the control loop of the measured power generation unit is obtained respectively; for each value of the related parameter of the related damping controller, collect the speed-like variable signal Δ of the control loop of the measured generating unit within a preset time period SV 2,i ( t ) and a power-like variable signal F ( t ) performing a Fourier transform on said class speed variable signal Δ SV 2,i ( t ) and obtaining the angular frequency of the dominant oscillation mode involved in said control loop from the amplitude-frequency characteristic image resulting from the transform w d ; The class speed variable signal Δ SV 2,i ( t ) is Fourier decomposed at the angular frequency w d , resulting in a signal ; performing a Fourier decomposition of the class power variable signal F ( t ) at the angular frequency w d yields a signal ; substituting said signal and said signal into said time-domain calculation of the quasi-aggregated damping torque coefficient, calculating said quasi-aggregated damping torque coefficient at said angular frequency w d .
2. The inhibition method according to claim 1, wherein Before the class-aggregated damping torque coefficient of the control loop as an object is obtained, the following steps are included: constructing a state space model of a power system including the measured generating unit after Fourier transformation: wherein the measured generating unit is a jth i generating unit in the power system, Δ SV 1,i (j w ) and Δ SV 2,i (j w ) are a first state variable and a second state variable involved in a control loop with two consecutive integral links of the measured generating unit, Δ Z (j w ) are all other state variables of the measured generating unit except the first state variable and the second state variable, is a state matrix, j is an imaginary unit, w is an angular frequency variable; Suppose the state equation associated with the second state variable is: ;in, cF (j w ) is related to Δ SV 2,i (j w Related functions; c for cF (j w The constant portion excluding all variables; A relationship is obtained by combining the state space model and the state equation: ； the angular frequency of the dominant oscillation mode w d instead of the relation w , the resulting relation is converted to the time domain, resulting in a time domain calculation of the aggregated damping torque coefficient of the control loop as an object , where the signal is obtained by transforming the class speed variable signal Δ SV 2,i ( t ), the class speed variable signal Δ SV 2,i ( t ) is the time domain form of the second state variable Δ SV 2,i (j w ), the signal is obtained by transforming the class power variable signal F ( t ), the class power variable signal F ( t ) is F (j w ), the time domain form of F (j w ) is the part of cF (j w ) that is not constant, t is the time variable.
3. The inhibiting method according to claim 1, wherein The damping is improved by adjusting the related parameter of the related damping controller according to the first linear relationship and the second linear relationship, and the steps include: According to the first linear relationship and the second linear relationship, a change trend of the real part of the eigenvalue with the related parameter of the related damping controller is determined; According to the change trend, the related parameter of the related damping controller is adjusted to improve the damping.
4. A device for damping power system oscillations, characterized in that The application is applied to a power system mainly including new energy and power electronic converters, and comprises: An obtaining unit is configured to, in a dominant oscillation mode related to a control loop of a measured power generation unit having two continuous integral links, obtain a class-aggregated damping torque coefficient of the control loop as an object corresponding to a plurality of values of a related parameter of a related damping controller; The obtaining unit is further configured to, corresponding to the plurality of values of the related parameter of the related damping controller, obtain a real part of an eigenvalue of the dominant oscillation mode related to the control loop of the measured power generation unit; An operation unit is configured to fit a first linear relationship between the class-aggregated damping torque coefficient and the real part of the eigenvalue, and further configured to fit a second linear relationship between the class-aggregated damping torque coefficient and the related parameter of the related damping controller; An oscillation suppression unit is configured to, if it is determined that damping of the power system is insufficient, improve the damping by adjusting the related parameter of the related damping controller according to the first linear relationship and the second linear relationship, so as to suppress wide-frequency oscillation. The suppression device further comprises: A phasor measurement unit is configured to collect, for each value of the relevant parameter of the relevant damping controller, a speed-like variable signal Δ SV 2,i ( t ) and a power-like variable signal F ( t ) of the measured generating unit within a predetermined time period. a signal transformation unit for performing a Fourier transformation on the said class speed variable signal Δ SV 2,i ( t ) and obtaining the angular frequency of the said dominant oscillation mode involved in the said control loop from the amplitude-frequency characteristic obtained by the transformation w d ; The signal conversion unit is further configured to convert the speed-like variable signal Δ SV 2,i ( t At the angular frequency w d Perform Fourier decomposition at the point to obtain the signal. ; The signal conversion unit is further configured to convert the power-like variable signal into a signal F ( t ) in the angular frequency w d domain to obtain a signal ; The acquisition unit is further configured to substitute the signal and the signal into a time-domain calculation formula of the quasi-aggregated damping torque coefficient, to obtain the quasi-aggregated damping torque coefficient at the angular frequency w d .
5. The inhibiting device according to claim 4, wherein The obtaining unit is specifically configured to, before obtaining the class-aggregated damping torque coefficient of the control loop as an object, obtain a time-domain calculation formula of the class-aggregated damping torque coefficient, and the steps include: constructing a state space model of a power system including the measured generating unit after Fourier transformation: wherein the measured generating unit is a jth i generating unit in the power system, Δ SV 1,i (j w ) and Δ SV 2,i (j w ) are a first state variable and a second state variable involved in a control loop with two consecutive integral links of the measured generating unit, Δ Z (j w ) are all other state variables of the measured generating unit except the first state variable and the second state variable, is a state matrix, j is an imaginary unit, w is an angular frequency variable; Suppose the state equation associated with the second state variable is: ;in, cF (j w ) is related to Δ SV 2,i (j w Related functions; c for cF (j w The constant portion excluding all variables; The state space model and the state equation are combined to obtain a relationship: ； the angular frequency of the dominant oscillation mode w d instead of the relation w converting the resulting relation to the time domain, obtaining a time domain calculation of the aggregated damping torque coefficient of the control loop as an object where the signal is obtained by transforming the class speed variable signal Δ SV 2,i ( t ) the class speed variable signal Δ SV 2,i ( t ) is the time domain form of the second state variable Δ SV 2,i (j w ) the signal is obtained by transforming the class power variable signal F ( t ) the class power variable signal F ( t ) is F (j w ) the time domain form of F (j w ) is the part of cF (j w ) excluding the constant, t is the time variable.
6. The inhibiting device according to claim 4, wherein The oscillation suppression unit is specifically used for: According to the first linear relationship and the second linear relationship, a variation trend of the real part of the characteristic value with respect to a variation of the related parameter of the related damping controller is determined; According to the variation trend, the related parameter of the related damping controller is adjusted to improve the damping.
7. A power system wide area oscillation suppression device, characterized by, The computer program is executed by the processor to implement the method in any one of claims 1 to 3.
8. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 7. The computer program is executed by the processor to implement the method in any one of claims 1 to 3.