Method and device for evaluating shafting oscillation risk of compressed air energy storage system

Abstract

The present application relates to the technical field of data processing for supervision purposes, and particularly relates to a method and device for evaluating shafting oscillation risk of compressed air energy storage system, wherein the method comprises: capturing electromagnetic torque waveform caused by power grid side disturbance of synchronous generator, and obtaining amplitude and frequency of each oscillation frequency component in electromagnetic torque through analysis; judging whether the compressed air energy storage system meets preset determination starting condition, and if so, calculating bearing torque of each shaft section in the compressed air energy storage system; obtaining evaluation result of shafting oscillation risk of the compressed air energy storage system according to the bearing torque of each shaft section. Thus, the technical problem that the mechanical structure of compressed air energy storage power generation side is prone to shafting oscillation phenomenon when subjected to external disturbance, affecting the safe operation of the compressed air energy storage system, being not conducive to the stability of the power grid, and being difficult to accurately reflect the shafting oscillation risk of the compressed air energy storage system is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing for supervision purposes, in particular to a method and device for evaluating shafting oscillation risk of compressed air energy storage system. BACKGROUND

[0002] Due to the randomness and volatility of new energy power generation, large-scale energy storage technology needs to be connected to smooth the grid fluctuation.

[0003] Non-replenishment compressed air energy storage technology becomes the key technology to solve this problem. However, in recent years, as the capacity of compressed air energy storage system continues to increase, higher requirements are put forward for the safety and stability of compressed air energy storage system. Since the compressed air energy storage power generation side adopts a mechanical structure of multi-stage turbine and synchronous generator coaxial connection, shafting oscillation phenomenon is easy to occur when disturbed by external disturbance, which seriously affects the safe operation of the compressed air energy storage system, and further adversely affects the stability of the power grid, so it is difficult to accurately reflect the shafting oscillation risk of the compressed air energy storage system, which needs to be improved. SUMMARY

[0004] The present application provides a method and device for evaluating shafting oscillation risk of compressed air energy storage system to solve the technical problem that in the related art, the mechanical structure of the compressed air energy storage power generation side is easy to cause shafting oscillation phenomenon when disturbed by external disturbance, which affects the safe operation of the compressed air energy storage system, is not conducive to the stability of the power grid, and it is difficult to accurately reflect the shafting oscillation risk of the compressed air energy storage system.

[0005] The first aspect of the present application provides a method for evaluating shafting oscillation risk of compressed air energy storage system, comprising the following steps: capturing the electromagnetic torque waveform of the synchronous generator caused by the disturbance of the grid side, and analyzing the amplitude and frequency of each oscillation frequency component in the electromagnetic torque based on the electromagnetic torque waveform; based on the amplitude and frequency, determining whether the compressed air energy storage system meets the preset determination starting condition, if the preset determination starting condition is met, using a preset shaft segment bearing torque algorithm to calculate the bearing torque of each shaft segment in the compressed air energy storage system; respectively determining whether the bearing torque of each shaft segment is greater than the corresponding preset threshold to obtain a judgment result, and obtaining an evaluation result of the shafting oscillation risk of the compressed air energy storage system based on the judgment result.

[0006] Optionally, in one embodiment of the present application, after determining whether the compressed air energy storage system meets the preset determination starting condition, if the preset determination starting condition is not met, the electromagnetic torque waveform is captured every preset time interval until the bearing torque of each shaft segment in the compressed air energy storage system is calculated using the preset shaft segment bearing torque algorithm when the compressed air energy storage system meets the preset determination starting condition.

[0007] Optionally, in one embodiment of the present application, before the bearing torque of each shaft section of the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm, it further comprises: constructing a compressed air energy storage system power generation side shafting model, wherein the compressed air energy storage system power generation side shafting model is composed of a shafting oscillation equation of the compressed air energy storage system power generation side, a modal decoupling equation of a rotation angle, a construction equation of each modal coefficient matrix, and a shafting modal equation of the compressed air energy storage system power generation side; and obtaining a corresponding shaft section bearing torque algorithm based on the compressed air energy storage system power generation side shafting model.

[0008] Optionally, in one embodiment of the present application, the expression of the compressed air energy storage system power generation side shafting model comprises:

[0009]

[0010] Δθ=QΔδ

[0011] M m =Q T MQ

[0012] D m =Q T DQ

[0013] K m =Q T KQ

[0014] ΔT m =Q T ΔT

[0015]

[0016] wherein M is an inertia constant matrix, D is a damping coefficient matrix, K is a stiffness coefficient matrix, Δθ is a column vector of oscillation amplitudes of rotation angles of each mass block, ΔT is a column vector of input torque oscillation amplitudes of each mass block, and is a rate of change of a corresponding variable with respect to time, Q is a mode shape matrix, Δδ is a column vector of modal rotation angle oscillation amplitudes of each mass block, M m is a modal inertia constant matrix, D m is a modal damping coefficient matrix, K m is a modal stiffness coefficient matrix, ΔT m is a column vector of modal torque oscillation amplitudes of each mass block.

[0017] Optionally, in an embodiment of the present application, the algorithm for calculating the torque borne by each shaft section of the compressed air energy storage system comprises: obtaining the mass block modal angle oscillation caused by the electromagnetic torque oscillation of each oscillation frequency component at the specific oscillation frequency based on the shafting model of the power generation side of the compressed air energy storage system and the specific oscillation frequency; summing the mass block modal angle oscillation to obtain the total modal angle oscillation amplitude, and solving the borne torque based on the total modal angle oscillation amplitude and the shafting model of the power generation side of the compressed air energy storage system.

[0018] An embodiment of the second aspect of the present application provides an evaluation device for shafting oscillation risk of a compressed air energy storage system, comprising: a capture module configured to capture an electromagnetic torque waveform caused by a power grid side disturbance of a synchronous generator, and analyze the electromagnetic torque waveform to obtain the amplitude and frequency of each oscillation frequency component in the electromagnetic torque; a first calculation module configured to determine whether the compressed air energy storage system meets a preset determination starting condition based on the amplitude and frequency, and if the preset determination starting condition is met, calculate the torque borne by each shaft section of the compressed air energy storage system using a preset shaft section borne torque algorithm; and an evaluation module configured to determine whether the borne torque of each shaft section is greater than a corresponding preset threshold value respectively, and obtain a determination result based on the determination result to obtain an evaluation result of the shafting oscillation risk of the compressed air energy storage system.

[0019] Optionally, in an embodiment of the present application, the evaluation device further comprises: a second calculation module configured to capture the electromagnetic torque waveform every preset time length in the case that the preset determination starting condition is not met, and calculate the torque borne by each shaft section of the compressed air energy storage system using the preset shaft section borne torque algorithm in the case that the compressed air energy storage system meets the preset determination starting condition.

[0020] Optionally, in an embodiment of the present application, the evaluation device further comprises: a construction module configured to construct a shafting model of the power generation side of the compressed air energy storage system, wherein the shafting model of the power generation side of the compressed air energy storage system is composed of a shafting oscillation equation of the power generation side of the compressed air energy storage system, a modal decoupling equation of an angle, a construction equation of each modal coefficient matrix, and a shafting modal equation of the power generation side of the compressed air energy storage system; and a third calculation module configured to obtain a corresponding shaft section borne torque algorithm based on the shafting model of the power generation side of the compressed air energy storage system.

[0021] Optionally, in an embodiment of the present application, the expression of the shafting model of the power generation side of the compressed air energy storage system comprises:

[0022]

[0023] Δθ = QΔδ

[0024] M m =Q T MQ

[0025] D m =Q T DQ

[0026] K m =Q T KQ

[0027] ΔT m =Q T ΔT

[0028]

[0029] wherein M is a mass matrix of inertia constant, D is a damping coefficient matrix, K is a stiffness coefficient matrix, Δθ is a column vector of oscillation amplitude of each mass block rotation angle, ΔT is a column vector of oscillation amplitude of input torque of each mass block, and is a rate of change of the corresponding variable with time, Q is a mode shape matrix, Δδ is a column vector of oscillation amplitude of each mass block modal rotation angle, M m is a modal mass matrix of inertia constant, D m is a modal damping coefficient matrix, K m is a modal stiffness coefficient matrix, ΔT m is a column vector of oscillation amplitude of each mass block modal torque.

[0030] Optionally, in an embodiment of the present application, the first calculation module comprises: a first calculation unit, configured to obtain mass block modal rotation angle oscillation caused by electromagnetic torque oscillation corresponding to each oscillation frequency component in the specific oscillation frequency based on the compressed air energy storage system power generation side shafting model and the specific oscillation frequency; and a second calculation unit, configured to sum the mass block modal rotation angle oscillations to obtain total modal rotation angle oscillation amplitude, and solve the bearing torque based on the total modal rotation angle oscillation amplitude and the compressed air energy storage system power generation side shafting model.

[0031] A third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the compressed air energy storage system shafting oscillation risk assessment method according to the above embodiments.

[0032] A fourth aspect of the present application provides a computer readable storage medium, which stores computer instructions for causing the computer to execute the compressed air energy storage system shafting oscillation risk assessment method according to the above embodiments.

[0033] The fifth aspect of the present application provides a computer program product comprising a computer program which, when executed, implements the method for evaluating the shafting oscillation risk of the compressed air energy storage system as described above.

[0034] The embodiment of the present application can capture the electromagnetic torque waveform caused by the power grid side disturbance of the synchronous generator, and obtain the amplitude and frequency of each oscillation frequency component in the electromagnetic torque through analysis, so as to judge whether the compressed air energy storage system meets the preset judgment start condition based on the amplitude and frequency, so as to calculate the bearing torque of each shaft section in the compressed air energy storage system by using the preset shaft section bearing torque algorithm in the case of meeting the preset judgment start condition, and then evaluate the shafting oscillation risk of the compressed air energy storage system according to the bearing torque of each shaft section, so as to realize the risk evaluation of the shafting oscillation of the compressed air energy storage system caused by the power grid side disturbance, and reduce the harm of shafting oscillation. Thus, the technical problem that the mechanical structure of the compressed air energy storage power generation side is prone to shafting oscillation when subjected to external disturbance in the related art, which affects the safe operation of the compressed air energy storage system, is solved, and the stability of the power grid is not conducive to the accurate reflection of the shafting oscillation risk of the compressed air energy storage system.

[0035] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0036] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, including the accompanying drawings.

[0037] Figure 1 A flow chart of a method for evaluating the shafting oscillation risk of a compressed air energy storage system according to an embodiment of the present application is provided.

[0038] Figure 2 A schematic diagram of the principle of a method for evaluating the shafting oscillation risk of a compressed air energy storage system according to an embodiment of the present application is provided.

[0039] Figure 3 A structural schematic diagram of a device for evaluating the shafting oscillation risk of a compressed air energy storage system according to an embodiment of the present application is provided.

[0040] Figure 4 A structural schematic diagram of an electronic device according to an embodiment of the present application is provided. DETAILED DESCRIPTION

[0041] Embodiments of the present application are described below in detail, examples of which are shown in the drawings, wherein the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by reference to the drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0042] The method and device for evaluating the shaft system oscillation risk of the compressed air energy storage system of the embodiments of the present application are described below with reference to the drawings. In the related art mentioned in the background art, the mechanical structure of the compressed air energy storage power generation side is prone to shaft system oscillation when subjected to external disturbance, which affects the safe operation of the compressed air energy storage system and is not conducive to the stability of the power grid, and it is difficult to accurately reflect the shaft system oscillation risk of the compressed air energy storage system. The present application provides a method for evaluating the shaft system oscillation risk of the compressed air energy storage system. In this method, the electromagnetic torque waveform of the synchronous generator caused by the disturbance of the power grid side can be captured, and the amplitude and frequency of each oscillation frequency component in the electromagnetic torque can be obtained by analysis. Based on the amplitude and frequency, it is determined whether the compressed air energy storage system meets the preset determination start condition. If the preset determination start condition is met, the bearing torque of each shaft section in the compressed air energy storage system is calculated using the preset shaft section bearing torque algorithm. Then, the shaft system oscillation risk of the compressed air energy storage system is evaluated according to the bearing torque of each shaft section, realizing the risk evaluation of the shaft system oscillation of the compressed air energy storage system caused by the disturbance of the power grid side, and reducing the harm of shaft system oscillation. Thus, the technical problem that the mechanical structure of the compressed air energy storage power generation side is prone to shaft system oscillation when subjected to external disturbance, which affects the safe operation of the compressed air energy storage system and is not conducive to the stability of the power grid, and it is difficult to accurately reflect the shaft system oscillation risk of the compressed air energy storage system in the related art is solved.

[0043] Specifically, Figure 1 A flowchart of a method for evaluating the shaft system oscillation risk of a compressed air energy storage system according to an embodiment of the present application is shown in FIG. 1.

[0044] As Figure 1 shown, the method for evaluating the shaft system oscillation risk of the compressed air energy storage system includes the following steps:

[0045] In step S101, the electromagnetic torque waveform of the synchronous generator caused by the disturbance of the power grid side is captured, and the amplitude and frequency of each oscillation frequency component in the electromagnetic torque are obtained based on the electromagnetic torque waveform.

[0046] It can be understood that the disturbance from the power grid side will cause the electromagnetic torque of the synchronous generator to oscillate, and then excite the shaft system oscillation of the compressed air energy storage system. Therefore, the electromagnetic torque of the synchronous generator needs to be detected and analyzed.

[0047] The embodiment of the present application can capture the electromagnetic torque waveform by using the sensor, perform frequency spectrum analysis on the electromagnetic torque, and obtain the amplitude and frequency of each oscillation frequency component in the electromagnetic torque by using the fast Fourier transform method. The oscillation frequency is the additional frequency of the multiple types of electromagnetic torque oscillation.

[0048] In step S102, whether the compressed air energy storage system meets the preset determination starting condition is determined based on the amplitude and frequency. If the preset determination starting condition is met, the bearing torque of each shaft section in the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm.

[0049] Further, the embodiment of the present application can determine the electromagnetic torque oscillation amplitude according to the amplitude and frequency of each oscillation frequency component, and determine whether the compressed air energy storage system meets the preset determination starting condition according to the electromagnetic torque oscillation amplitude. For example, if the electromagnetic torque oscillation amplitude is too small (for example, lower than a certain threshold value) and far away from the inherent oscillation frequency of the system, the compressed air energy storage system does not have the risk of shafting oscillation, which indicates that the compressed air energy storage system does not meet the preset determination starting condition, and vice versa.

[0050] The embodiment of the present application can calculate the bearing torque of each shaft section in the compressed air energy storage system by using the preset shaft section bearing torque algorithm when the preset determination starting condition is met.

[0051] The threshold value of the electromagnetic torque oscillation amplitude for the preset determination starting condition can be set by the person skilled in the art according to the actual situation, and is not specifically limited here.

[0052] Optionally, in an embodiment of the present application, after determining whether the compressed air energy storage system meets the preset determination starting condition, the method further includes: if the preset determination starting condition is not met, capturing the electromagnetic torque waveform every preset time interval until the bearing torque of each shaft section in the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm when the compressed air energy storage system meets the preset determination starting condition.

[0053] In some embodiments, if the preset determination starting condition is not met, it indicates that the compressed air energy storage system does not have the risk of shafting oscillation, and subsequent torque estimation and risk warning steps are not required. At this time, the embodiment of the present application can capture the electromagnetic torque waveform every preset time interval to continuously monitor the compressed air energy storage system until the captured electromagnetic torque waveform makes the compressed air energy storage system meet the preset determination starting condition, and then the bearing torque of each shaft section in the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm.

[0054] Optionally, in one embodiment of the present application, before the bearing torque of each shaft section in the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm, it further comprises: constructing a shafting model of the power generation side of the compressed air energy storage system, wherein the shafting model of the power generation side of the compressed air energy storage system is composed of shafting oscillation equations of the power generation side of the compressed air energy storage system, modal decoupling equations of rotation angles, construction equations of each modal coefficient matrix, and shafting modal equations of the power generation side of the compressed air energy storage system; and obtaining the corresponding shaft section bearing torque algorithm based on the shafting model of the power generation side of the compressed air energy storage system. The expression of the shafting model of the power generation side of the compressed air energy storage system comprises:

[0055]

[0056] Δθ=QΔδ

[0057] M m =Q T MQ

[0058] D m =Q T DQ

[0059] K m =Q T KQ

[0060] ΔT m =Q T ΔT

[0061]

[0062] wherein M is an inertia constant matrix, D is a damping coefficient matrix, K is a stiffness coefficient matrix, Δθ is a column vector of oscillation amplitudes of rotation angles of each mass block, ΔT is a column vector of input torque oscillation amplitudes of each mass block, and is a rate of change of the corresponding variable with respect to time, Q is a vibration mode matrix, Δδ is a column vector of modal rotation angle oscillation amplitudes of each mass block, M m is a modal inertia constant matrix, D m is a modal damping coefficient matrix, K m is a modal stiffness coefficient matrix, and ΔT m is a column vector of modal torque oscillation amplitudes of each mass block.

[0063] As a possible implementation, since the power generation side of the compressed air energy storage system adopts a structure in which a multi-stage turbine is coaxially connected with a synchronous generator, the embodiment of the present application can adopt a multi-mass block modeling method to establish a shafting model of the power generation side of the compressed air energy storage system, wherein the shafting equation and the modal equation of the compressed air energy storage system can be expressed as:

[0064]

[0065] Delta theta = Q Delta delta (2)

[0066] M m = Q T MQ (3)

[0067] D m = Q T DQ (4)

[0068] K m = Q T KQ (5)

[0069] Delta T m = Q T Delta T (6)

[0070]

[0071] Wherein, formula (1) is the shafting oscillation equation of compressed air energy storage system power generation side, M is the inertia constant matrix, D is the damping coefficient matrix, K is the stiffness coefficient matrix, Delta theta is the column vector of each mass block rotation angle oscillation amplitude, Delta T is the column vector of each mass block input torque oscillation amplitude, the dot is the rate of change of the variable with time;

[0072] Formula (2) is the modal decoupling equation of rotation angle, Q is the mode matrix, Delta delta is the column vector of each mass block modal rotation angle oscillation amplitude;

[0073] Formula (3) to formula (6) are the construction methods of each modal coefficient matrix, there is a mode matrix so that each modal coefficient matrix becomes a diagonal matrix, realizing the mutual decoupling of each oscillation mode, M m is the modal inertia constant matrix, D m is the modal damping coefficient matrix, K m is the modal stiffness coefficient matrix, Delta T m is the column vector of each mass block modal torque oscillation amplitude;

[0074] Formula (7) is the shafting modal equation of compressed air energy storage system power generation side, which can be decoupled by modal decoupling transformation, realizing the decoupling of each oscillation mode, so as to facilitate the subsequent risk assessment and analysis of compressed air energy storage shafting oscillation.

[0075] Optionally, in an embodiment of the present application, the preset shaft section torque bearing algorithm is used to calculate the torque borne by each shaft section in the compressed air energy storage system, comprising: based on the shafting model of the power generation side of the compressed air energy storage system and a specific oscillation frequency, obtaining the mass block modal angle oscillation caused by the electromagnetic torque oscillation corresponding to each oscillation frequency component in the specific oscillation frequency; summing the mass block modal angle oscillation to obtain the total modal angle oscillation amplitude, and based on the total modal angle oscillation amplitude and the shafting model of the power generation side of the compressed air energy storage system, solving the borne torque.

[0076] Due to the disturbance from the grid side, the electromagnetic torque of the synchronous generator will oscillate, and the electromagnetic torque oscillation will further excite the angle oscillation of the mass block, and the oscillation response is related to the frequency and amplitude of the electromagnetic torque oscillation.

[0077] The mass block modal angle oscillation caused by the electromagnetic torque oscillation at a specific oscillation frequency ω is as follows:

[0078]

[0079] k = -ω B Q / M m (9)

[0080] σ = D m / 2M m (10)

[0081]

[0082] wherein formula (8) is a formula for calculating the modal angle of each mass block of the compressed air energy storage caused by the electromagnetic torque disturbance, ΔT e (ω) is the amplitude of the electromagnetic torque oscillation with an oscillation frequency of ω;

[0083] Formula (9) to formula (11) are the calculation formulas of the parameters in formula (8), respectively, ω B is the base value of the angle, M m , D m , K m are the coefficients under each mode, and there are n sets of parameters, and n is the total number of system oscillation modes.

[0084] Further, there are often multiple oscillation frequency components in the electromagnetic torque, and different frequency components can all cause shafting oscillation, and the total modal angle oscillation amplitude can be expressed as:

[0085]

[0086] The total modal angle oscillation amplitude can be converted into the angle oscillation amplitude of each mass block through formula (2), and the torque borne by the shaft section between mass block i and mass block j can be solved as:

[0087] ΔT ij =K ij |Δθ Σi -Δθ ∑j |(13)

[0088] wherein, K ij is the stiffness coefficient of the shaft section between mass i and mass k, Δθ ∑i and Δθ ∑j are the oscillation amplitude of the rotation angle of mass i and mass k respectively.

[0089] In step S103, it is judged whether the torque borne by each shaft section is greater than the corresponding preset threshold value respectively, to obtain a judgment result, so as to obtain an evaluation result of the shafting oscillation risk of the compressed air energy storage system based on the judgment result.

[0090] In actual execution process, the embodiment of the present application can respectively evaluate the risk of the torque borne by each shaft section, to obtain an evaluation result, and in the case that the estimated value of the torque of a certain shaft section is greater than the set threshold value ΔT ij,y , a warning is given. The criterion for evaluating and warning the shafting oscillation risk of the compressed air energy storage system is as follows:

[0091] ΔT ij >ΔT ij,y

[0092] If the embodiment of the present application can meet the above criterion, the risk warning of the shafting oscillation of the compressed air energy storage system can be triggered, and subsequent control operation can be performed by the on-site staff to reduce the harm of shafting oscillation in time.

[0093] Wherein, the preset threshold value can be set by the staff in the field according to the actual situation, which is not specifically limited here.

[0094] In combination with FIG. 1, Figure 2 the working principle of the evaluation method of the shafting oscillation risk of the compressed air energy storage system according to the embodiment of the present application is described in detail.

[0095] As shown in FIG. 2, Figure 2 the embodiment of the present application can include the following steps:

[0096] Step S1: disturbance analysis. The electromagnetic torque waveform is captured by the sensor, and the electromagnetic torque is subjected to frequency spectrum analysis, and the amplitude and frequency of each oscillation frequency component in the electromagnetic torque are obtained by fast Fourier transform method.

[0097] Step S2: start-up judgment. If the electromagnetic torque oscillation amplitude is too small and far from the inherent oscillation frequency of the system, the compressed air energy storage system does not have the risk of shafting oscillation, and the subsequent torque estimation and risk warning link is not needed, so the start-up judgment is needed, the relevant threshold is set, and after the torque oscillation at a specific frequency reaches the threshold, the subsequent link is started. The start-up judgment link gives a start-up signal according to the torque oscillation amplitude at a specific frequency.

[0098] Step S3: torque estimation. The preset shaft section bearing torque algorithm of the compressed air energy storage system is used to calculate the size of the bearing torque of each shaft section in the compressed air energy storage system under the electromagnetic torque oscillation. Through the decoupling of each oscillation mode, the bearing torque of each shaft section in the compressed air energy storage system is calculated. The preset shaft section bearing torque algorithm can be obtained from the pre-constructed compressed air energy storage system power generation side shafting model, and the compressed air energy storage system power generation side shafting model can be as shown in formulas (1)-(7). Based on the compressed air energy storage system power generation side shafting model, the formulas (8)-(13) can be further derived by the embodiment of the application, and the output result of formula (13) is the bearing torque of each shaft section.

[0099] Step S4: risk warning. The risk of each shaft section bearing torque is evaluated to obtain the evaluation result, and the warning is performed when the torque estimation value of a certain shaft section is greater than the set threshold ΔT ij,y . The criterion for evaluating and warning the risk of the compressed air energy storage system shafting oscillation is as follows:

[0100] ΔT ij >ΔT ij,y

[0101] If the embodiment of the application can meet the above criterion, the risk warning of the compressed air energy storage system shafting oscillation can be triggered, and the subsequent control operation is performed by the on-site staff to reduce the harm of shafting oscillation in time.

[0102] The method for evaluating the shafting oscillation risk of the compressed air energy storage system according to the embodiment of the present application can capture the electromagnetic torque waveform caused by the grid-side disturbance of the synchronous generator, and obtain the amplitude and frequency of each oscillation frequency component in the electromagnetic torque through analysis, so as to judge whether the compressed air energy storage system meets the preset judgment starting condition based on the amplitude and frequency, calculate the bearing torque of each shaft section in the compressed air energy storage system by using the preset shaft section bearing torque algorithm in the case of meeting the preset judgment starting condition, and then evaluate the shafting oscillation risk of the compressed air energy storage system according to the bearing torque of each shaft section, so as to realize the risk evaluation of the shafting oscillation of the compressed air energy storage system caused by the grid-side disturbance, and reduce the harm of the shafting oscillation. Thus, the technical problem that the mechanical structure of the compressed air energy storage power generation side is prone to shafting oscillation when subjected to external disturbance, affects the safe operation of the compressed air energy storage system, is not conducive to the stability of the power grid, and it is difficult to accurately reflect the shafting oscillation risk of the compressed air energy storage system in the related art is solved.

[0103] Secondly, the evaluation device for the shafting oscillation risk of the compressed air energy storage system according to the embodiment of the present application is described with reference to the accompanying drawings.

[0104] Figure 3 is a block schematic diagram of the evaluation device for the shafting oscillation risk of the compressed air energy storage system according to the embodiment of the present application.

[0105] As shown in Figure 3 , the evaluation device for the shafting oscillation risk of the compressed air energy storage system 10 comprises a capturing module 100, a first calculation module 200 and an evaluation module 300.

[0106] Specifically, the capturing module 100 is configured to capture the electromagnetic torque waveform caused by the grid-side disturbance of the synchronous generator, and obtain the amplitude and frequency of each oscillation frequency component in the electromagnetic torque based on the electromagnetic torque waveform.

[0107] The first calculation module 200 is configured to judge whether the compressed air energy storage system meets the preset judgment starting condition based on the amplitude and frequency, and calculate the bearing torque of each shaft section in the compressed air energy storage system by using the preset shaft section bearing torque algorithm if the compressed air energy storage system meets the preset judgment starting condition.

[0108] The evaluation module 300 is configured to respectively judge whether the bearing torque of each shaft section is greater than the corresponding preset threshold value, obtain the judgment result, and obtain the evaluation result of the shafting oscillation risk of the compressed air energy storage system based on the judgment result.

[0109] Optionally, in an embodiment of the present application, the evaluation device for the shafting oscillation risk of the compressed air energy storage system 10 further comprises a second calculation module.

[0110] The second calculation module is configured to capture the electromagnetic torque waveform every preset time length in a case where the preset determination starting condition is not met, until a torque bearing algorithm of a preset shaft section is used to calculate the torque bearing of each shaft section in the compressed air energy storage system in a case where the compressed air energy storage system meets the preset determination starting condition.

[0111] Optionally, in an embodiment of the present application, the compressed air energy storage system shafting oscillation risk assessment device 10 further comprises a construction module and a third calculation module.

[0112] The construction module is configured to construct a compressed air energy storage system power generation side shafting model, wherein the compressed air energy storage system power generation side shafting model is composed of a shafting oscillation equation of the compressed air energy storage system power generation side, a modal decoupling equation of a rotation angle, a construction equation of each modal coefficient matrix, and a shafting modal equation of the compressed air energy storage system power generation side.

[0113] The third calculation module is configured to obtain a corresponding shaft section torque bearing algorithm based on the compressed air energy storage system power generation side shafting model.

[0114] Optionally, in an embodiment of the present application, the expression of the compressed air energy storage system power generation side shafting model comprises:

[0115]

[0116] Δθ=QΔδ

[0117] M m =Q T MQ

[0118] D m =Q T DQ

[0119] K m =Q T KQ

[0120] ΔT m =Q T ΔT

[0121]

[0122] wherein M is an inertia constant matrix, D is a damping coefficient matrix, K is a stiffness coefficient matrix, Δθ is a column vector of oscillation amplitudes of rotation angles of each mass block, ΔT is a column vector of input torque oscillation amplitudes of each mass block, and is a rate of change of the corresponding variable with respect to time, Q is a mode shape matrix, Δδ is a column vector of modal rotation angle oscillation amplitudes of each mass block, M m is a modal inertia constant matrix, D m is a modal damping coefficient matrix, and Km is a modal stiffness coefficient matrix, ΔT m is a column vector of modal torque oscillation amplitudes of each mass block.

[0123] Optionally, in an embodiment of the present application, the first calculation module 200 comprises: a first calculation unit and a second calculation unit.

[0124] The first calculation unit is configured to obtain, based on the compressed air energy storage system power generation side shafting model and a specific oscillation frequency, a modal angular oscillation caused by electromagnetic torque oscillation corresponding to each oscillation frequency component in the specific oscillation frequency.

[0125] The second calculation unit is configured to sum the modal angular oscillations of the mass blocks to obtain a total modal angular oscillation amplitude, and solve the torque borne by the shafting based on the total modal angular oscillation amplitude and the compressed air energy storage system power generation side shafting model.

[0126] It should be noted that the foregoing explanation of the embodiment of the method for evaluating the shafting oscillation risk of the compressed air energy storage system is also applicable to the evaluation device of the shafting oscillation risk of the compressed air energy storage system, which will not be described here again.

[0127] The evaluation device of the shafting oscillation risk of the compressed air energy storage system according to the embodiment of the present application can capture the electromagnetic torque waveform caused by the synchronous generator under the disturbance of the power grid side, and obtain the amplitude and frequency of each oscillation frequency component in the electromagnetic torque through analysis, so as to judge whether the compressed air energy storage system meets the preset judgment starting condition based on the amplitude and frequency, so as to calculate the torque borne by each shaft section in the compressed air energy storage system by using the preset shaft section torque borne algorithm in the case where the preset judgment starting condition is met, and then evaluate the shafting oscillation risk of the compressed air energy storage system according to the torque borne by each shaft section, so as to realize the risk evaluation of the shafting oscillation of the compressed air energy storage system caused by the disturbance of the power grid side, and reduce the harm of the shafting oscillation. Thus, the technical problem that the mechanical structure of the compressed air energy storage power generation side is prone to shafting oscillation when subjected to external disturbance, affects the safe operation of the compressed air energy storage system, is not conducive to the stability of the power grid, and it is difficult to accurately reflect the shafting oscillation risk of the compressed air energy storage system in the related art is solved.

[0128] Figure 4 The structure schematic diagram of the electronic device provided by the embodiment of the present application. The electronic device can include:

[0129] The memory 401, the processor 402, and the computer program stored in the memory 401 and executable on the processor 402.

[0130] The processor 402 implements the method for evaluating the shafting oscillation risk of the compressed air energy storage system provided in the above embodiments when executing the program.

[0131] Further, the electronic device further comprises:

[0132] A communication interface 403 for communication between the memory 401 and the processor 402.

[0133] The memory 401 for storing computer programs executable on the processor 402.

[0134] The memory 401 can include a high-speed RAM memory, and can also include a non-volatile memory, such as at least one disk memory.

[0135] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the communication interface 403, the memory 401 and the processor 402 can be connected to each other through a bus and complete communication between each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 In the figure, only one thick line is used to represent, but it does not mean that there is only one bus or one type of bus.

[0136] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can complete communication between each other through an internal interface.

[0137] The processor 402 can be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present application.

[0138] The embodiment also provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the above-mentioned compressed air energy storage system shafting oscillation risk assessment method.

[0139] The embodiment of the present application further provides a computer program product comprising a computer program which, when executed by a processor, implements the method for evaluating shafting oscillation risk of compressed air energy storage system provided by the embodiment of the present application.

[0140] In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or N embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples, without contradiction.

[0141] In addition, the terms "first", "second" are only used for description purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "N" is at least two, for example, two, three, etc., unless otherwise specifically limited.

[0142] Any process or method descriptions in flow charts or otherwise described herein can be understood as representing code modules, segments, or portions of code which include one or more executable instructions for performing a step, a function or a procedure in the custom logic, and the preferred embodiments of the present application also include additional implementation involving other processes or methods. It should be understood that the order of steps, storage of signals, or storage of data that are carried out during such a process or method are not required to be the order or storage that is shown or discussed herein, including the order or storage that is well known to those having ordinary skill in the art associated with the present application, and that the skilled artisan can suggest other order or storage as appropriate or desirable.

[0143] The logic and / or steps represented in flow diagrams or otherwise described herein, for example, can be considered as a sequence of instructions to implement logic functions, and can be embodied in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this specification, a "computer-readable medium" can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus, or device. The computer-readable medium can be a machine-readable storage device (e.g., magnetic, optical or other) a machine-readable storage diskette (e.g., floppy, flexible or other), a machine-readable storage card (e.g., ROM, EEPROM, flash memory or other), a machine- readable storage tape (e.g., magnetic, optical or other), a machine-readable storage medium (e.g., a portable electronic device, a computer diskette, a computer memory, a programmable logic device, an application-specific integrated circuit, a programmable logic controller, a digital signal processor, a microprocessor, a microprocessor array or other), or a machine- readable interface device (e.g., a wired or wireless interface device). The computer-readable medium can also be paper or other suitable material upon which the program is printed, as the program can be electronically captured, via optical scanning of the paper or other suitable medium, then compiled, interpreted or otherwise processed in a suitable manner into a useable format for use in the computer memory.

[0144] It should be understood that aspects of the application can be implemented in hardware, software, firmware or combinations thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As such, if implemented in hardware, and in another embodiment, any of the following technologies, known in the art, or combinations thereof, can be used: discrete logic circuitry having logic gates for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), and the like.

[0145] Those of ordinary skill in the art can understand that all or part of the steps involved in the above-mentioned embodiment methods can be completed by programs instructing relevant hardware, and the programs can be stored in a computer-readable storage medium. When the programs are executed, they include one of the steps of the method embodiments or a combination thereof.

[0146] In addition, each function unit in each embodiment of the present application can be integrated in one processing module, or each unit can be physically present separately, or two or more units can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software function module. When the integrated module is realized in the form of a software function module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0147] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A method of assessing shafting oscillation risk of a compressed air energy storage system, characterized in that, The method comprises the following steps: capturing an electromagnetic torque waveform caused by a disturbance on a power grid side of a synchronous generator, and analyzing an amplitude and a frequency of each oscillation frequency component in the electromagnetic torque based on the electromagnetic torque waveform; based on the amplitude and the frequency, determining whether the compressed air energy storage system meets a preset determination starting condition, and if the preset determination starting condition is met, calculating a bearing torque of each shaft section in the compressed air energy storage system by using a preset shaft section bearing torque algorithm; respectively determining whether the bearing torque of each shaft section is greater than a corresponding preset threshold value to obtain a determination result, and obtaining an evaluation result of a shafting oscillation risk of the compressed air energy storage system based on the determination result; wherein, before the bearing torque of each shaft section in the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm, a compressed air energy storage system power generation side shafting model is constructed, wherein the compressed air energy storage system power generation side shafting model is composed of a shafting oscillation equation on a power generation side of the compressed air energy storage system, a modal decoupling equation of a rotation angle, a construction equation of each modal coefficient matrix, and a shafting modal equation on the power generation side of the compressed air energy storage system; a corresponding shaft section bearing torque algorithm is obtained based on the compressed air energy storage system power generation side shafting model; wherein, an expression of the compressed air energy storage system power generation side shafting model comprises: Δθ=QΔδ M m = Q T MQ D m = Q T DQ K m = Q T KQ ΔT m = Q T ΔT where M is a mass matrix, D is a damping coefficient matrix, K is a stiffness coefficient matrix, Δθ is a column vector of oscillation amplitudes of the angular displacements of the masses, ΔT is a column vector of oscillation amplitudes of the input torques of the masses, and is a rate of change of the corresponding variable with respect to time, Q is a mode shape matrix, Δδ is a column vector of oscillation amplitudes of the modal angular displacements of the masses, M m is a modal mass matrix, D m is a modal damping coefficient matrix, K m is a modal stiffness coefficient matrix, ΔT m is a column vector of oscillation amplitudes of the modal input torques of the masses; the calculation of the bearing torque of each shaft section in the compressed air energy storage system by using the preset shaft section bearing torque algorithm comprises: based on the compressed air energy storage system power generation side shafting model and a specific oscillation frequency, a mass block modal rotation angle oscillation caused by electromagnetic torque oscillation of each oscillation frequency component in the specific oscillation frequency is obtained; the mass block modal rotation angle oscillation is summed to obtain a total modal rotation angle oscillation amplitude, and the bearing torque is solved based on the total modal rotation angle oscillation amplitude and the compressed air energy storage system power generation side shafting model.

2. The method of assessing the risk of shafting oscillations of a compressed air energy storage system according to claim 1, characterized in that, after determining whether the compressed air energy storage system meets the preset determination starting condition, further comprising: if the preset determination starting condition is not met, the electromagnetic torque waveform is captured every preset time interval until the bearing torque of each shaft section in the compressed air energy storage system is calculated by using the preset shaft section bearing torque algorithm when the compressed air energy storage system meets the preset determination starting condition.

3. A device for assessing shaft oscillation risk of a compressed air energy storage system, characterized in that: comprise: a capturing module configured to capture an electromagnetic torque waveform caused by a disturbance on a power grid side of a synchronous generator, and analyze an amplitude and a frequency of each oscillation frequency component in the electromagnetic torque based on the electromagnetic torque waveform; a first calculating module configured to determine whether a compressed air energy storage system meets a preset determination starting condition based on the amplitude and the frequency, and calculate a bearing torque of each shaft section in the compressed air energy storage system by using a preset shaft section bearing torque algorithm if the preset determination starting condition is met; an evaluation module configured to respectively determine whether the bearing torque of each shaft section is greater than a corresponding preset threshold value to obtain a determination result, and obtain an evaluation result of a shafting oscillation risk of the compressed air energy storage system based on the determination result. The construction module is configured to construct a compressed air energy storage system power generation side shafting model, wherein the compressed air energy storage system power generation side shafting model is composed of shafting oscillation equations of the compressed air energy storage system power generation side, modal decoupling equations of rotation angles, construction equations of each modal coefficient matrix, and shafting modal equations of the compressed air energy storage system power generation side. The third calculation module is configured to obtain a corresponding shaft section bearing torque algorithm based on the compressed air energy storage system power generation side shafting model. The expression of the compressed air energy storage system power generation side shafting model comprises: Δθ = QΔδ M m = Q T MQ D m = Q T DQ K m = Q T KQ ΔT m = Q T ΔT where M is a mass matrix, D is a damping coefficient matrix, K is a stiffness coefficient matrix, Δθ is a column vector of oscillation amplitudes of the angular displacements of the masses, ΔT is a column vector of oscillation amplitudes of the input torques of the masses, and is a rate of change of the corresponding variable with respect to time, Q is a mode shape matrix, Δδ is a column vector of oscillation amplitudes of the modal angular displacements of the masses, M m is a modal mass matrix, D m is a modal damping coefficient matrix, K m is a modal stiffness coefficient matrix, ΔT m is a column vector of oscillation amplitudes of the modal input torques of the masses; The first calculation module comprises: a first calculation unit configured to obtain mass block modal rotation angle oscillations caused by electromagnetic torque oscillations corresponding to each oscillation frequency component in a specific oscillation frequency based on the compressed air energy storage system power generation side shafting model and the specific oscillation frequency; and a second calculation unit configured to sum the mass block modal rotation angle oscillations to obtain a total modal rotation angle oscillation amplitude, and solve the bearing torque based on the total modal rotation angle oscillation amplitude and the compressed air energy storage system power generation side shafting model.

4. The compressed air energy storage system shafting oscillation risk assessment apparatus of claim 3, wherein, Further comprising: The second calculation module is configured to capture the electromagnetic torque waveform every preset time length in a case where the preset determination starting condition is not met, until a preset shaft section bearing torque algorithm is used to calculate the bearing torque of each shaft section in the compressed air energy storage system in a case where the compressed air energy storage system meets the preset determination starting condition.

5. An electronic device, comprising: Comprise: A memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the compressed air energy storage system shafting oscillation risk evaluation method according to any one of claims 1-2.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the compressed air energy storage system shafting oscillation risk evaluation method according to any one of claims 1-2.

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