CN110610024A - PSS parameter damping effect optimization method and device - Google Patents
PSS parameter damping effect optimization method and device Download PDFInfo
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Abstract
The invention provides a PSS parameter damping effect optimization method and device, and the method is applied to the technical field of power systems. The method comprises the following steps: determining PSS phase-frequency characteristics and PSS amplitude-frequency characteristics of a set excitation system to be set according to a PSS circuit model of the system; defining a damping effect index of the system according to the PSS phase frequency characteristic and the PSS amplitude frequency characteristic; establishing a PSS parameter optimization model according to the damping effect index; and optimizing the damping effect of the PSS parameters according to the PSS parameter optimization model. The PSS parameter damping effect optimization method and device provided by the invention can provide more damping when the unit generates low-frequency oscillation, and improve the dynamic stability of a power grid.
Description
Technical Field
The invention belongs to the technical field of power systems, and particularly relates to a PSS parameter damping effect optimization method and device.
Background
The long-distance and large-capacity power transmission situation in China is developing and forming, and the dynamic stability problem of the power grid is more and more prominent. The use of PSS (power system stabilizer) to improve power system stability is a simple, economical, and efficient method that is commonly used.
At present, PSS is commonly configured and used in large units in China, and the safety and stability of a power system are remarkably improved. The principle of the PSS is clear, the effect is obvious, the PSS design method of a multi-computer system is divided into two types, firstly, parameters of a stabilizer are calculated according to preset performance indexes (damping ratio or pole position), such as a pole allocation method, a random test method and the like, the damping effect on a specific mode is good, but the multi-mode adaptability is poor; the other type is a phase compensation method widely applied to engineering, the adaptability of different operation modes is considered in an important mode, and the damping effect can be accepted when the damping effect meets the requirement. In China, a phase compensation method is generally adopted in engineering application, but with the development of a power grid structure and the change of power grid characteristics, a PSS parameter setting method according to engineering experience is also insufficient, and the problems of unsatisfactory damping effect and weak damping in a specific mode are easily caused.
Disclosure of Invention
The invention aims to provide a PSS parameter damping effect optimization method and device, and aims to solve the technical problem that the PSS parameter setting damping effect is not ideal in the prior art.
In a first aspect of the embodiments of the present invention, a method for optimizing a damping effect of a PSS parameter is provided, including:
determining PSS phase-frequency characteristics and PSS amplitude-frequency characteristics of a set excitation system to be set according to a PSS circuit model of the system;
defining a damping effect index of the system according to the PSS phase frequency characteristic and the PSS amplitude frequency characteristic;
establishing a PSS parameter optimization model according to the damping effect index;
and optimizing the damping effect of the PSS parameters according to the PSS parameter optimization model.
In a second aspect of the embodiments of the present invention, there is provided a PSS parameter damping effect optimization apparatus, including:
the characteristic determining module is used for determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the excitation system of the set to be set according to the PSS circuit model of the excitation system of the set to be set;
the index determining module is used for defining the damping effect index of the system according to the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic;
the model establishing module is used for establishing a PSS parameter optimization model according to the damping effect index;
and the parameter optimization module is used for optimizing the damping effect of the PSS parameters according to the PSS parameter optimization model.
In a third aspect of the embodiments of the present invention, there is provided a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the PSS parameter damping effect optimization method when executing the computer program.
In a fourth aspect of the embodiments of the present invention, a computer-readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the PSS parameter damping effect optimization method described above.
The PSS parameter damping effect optimization method and device provided by the invention have the beneficial effects that: the PSS parameter damping effect optimization method and device provided by the invention optimize the PSS damping effect in the phase-frequency interval required by the technical standard, provide indexes representing the PSS damping effect, establish a parameter optimization model taking the optimal damping effect as a target, and then obtain the PSS parameters by solving the optimization problem. The method utilizes the uncompensated phase-frequency characteristic to obtain the PSS parameter, and enables the unit to provide more damping when low-frequency oscillation occurs by optimizing the PSS parameter within the range meeting the technical standard requirement, thereby improving the dynamic stability of the power grid and solving the technical problems that the existing PSS parameter setting only considers the phase-frequency characteristic and does not consider the amplitude-frequency characteristic, and the damping effect is not ideal.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of a PSS parameter damping effect optimization method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a PSS parameter damping effect optimization method according to another embodiment of the present invention;
fig. 3 is a PSS circuit model of a to-be-set unit excitation system according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of a PSS parameter damping effect optimization method according to still another embodiment of the present invention;
FIG. 5 is a diagram illustrating a relationship between phase compensation and input signals of a PSS parameter damping effect optimization method according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart of a PSS parameter damping effect optimization method according to another embodiment of the present invention;
FIG. 7 is a schematic flow chart of a PSS parameter damping effect optimization method according to another embodiment of the present invention;
fig. 8 is a simulation curve of uncompensated characteristics based on an actual power grid according to an embodiment of the present invention;
FIG. 9 is a comparison of the PSS damping effects of different optimization methods provided by an embodiment of the present invention;
FIG. 10 is a power oscillation curve of a unit under the condition of the same grid disturbance according to different optimization methods provided by an embodiment of the present invention;
FIG. 11 is a comparison of the PSS damping effect of different optimization methods provided by another embodiment of the present invention;
FIG. 12 is a power oscillation curve of a unit under the same grid disturbance condition according to different optimization methods provided by another embodiment of the present invention;
fig. 13 is a block diagram of a structure of a PSS parameter damping effect optimization apparatus according to an embodiment of the present invention;
fig. 14 is a schematic block diagram of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for optimizing a damping effect of a PSS parameter according to an embodiment of the present invention. The method comprises the following steps:
s101: and determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the system according to the PSS circuit model of the excitation system of the set to be set.
In this embodiment, the method mainly includes two steps: firstly, a PSS transfer function of a to-be-set unit excitation system is determined according to a PSS circuit model of the system, and then PSS phase-frequency characteristics and PSS amplitude-frequency characteristics of the system are calculated based on the PSS transfer function of the system.
S102: and defining the damping effect index of the system according to the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic.
In this embodiment, after obtaining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the system, the damping effect index of the system can be defined by using the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the system on the basis of the uncompensated characteristic of the system.
S103: and establishing a PSS parameter optimization model according to the damping effect index.
In this embodiment, on the basis of the damping effect index, the constraint condition and the optimization target of the PSS parameter optimization model may be set, and the PSS parameter optimization model may be established.
S104: and optimizing the PSS parameter of the excitation system of the set to be set according to the PSS parameter optimization model.
In this embodiment, parameters corresponding to the PSS parameter optimization model in the excitation system of the unit to be set are input into the PSS parameter optimization model, and then the optimized parameters in the PSS parameter optimization model are solved through a nonlinear multi-parameter constraint optimization problem solving algorithm.
From the above description, it can be known that the PSS parameter damping effect optimization method provided by the embodiment of the present invention optimizes the PSS damping effect in the phase-frequency interval required by the technical standard, provides an index representing the PSS damping effect, establishes a parameter optimization model aiming at the optimal damping effect, and then obtains the PSS parameter by solving the optimization problem. The method utilizes the uncompensated phase-frequency characteristic to obtain the PSS parameter, and enables the unit to provide more damping when low-frequency oscillation occurs by optimizing the PSS parameter within the range meeting the technical standard requirement, thereby improving the dynamic stability of the power grid and solving the technical problems that the existing PSS parameter setting only considers the phase-frequency characteristic and does not consider the amplitude-frequency characteristic, and the damping effect is not ideal.
Please refer to fig. 1 and fig. 2 together, and fig. 2 is a schematic flow chart of a PSS parameter damping effect optimization method according to another embodiment of the present application. On the basis of the above embodiment, step S101 can be detailed as follows:
s201: and determining the PSS transfer function of the system according to the PSS circuit model of the excitation system of the set to be set.
In this embodiment, reference may be made to fig. 3, where fig. 3 is a PSS circuit model of an excitation system of a unit to be set according to an embodiment of the present invention. The circuit model comprises two input branches of rotating speed and power, and the two branches are synthesized, so that the power change influence generated by the mechanical power regulation of the unit can be eliminated, and the reactive reverse regulation can be effectively inhibited. The rotating speed blocking link and the power blocking link are used for filtering direct-current components, the filtering link is used for filtering various noises in a generator frequency deviation signal and a unit torsional vibration signal, and the phase shifting link is mainly used for adjusting PSS phase frequency characteristics. Taking into account the combined signal of the speed branch and the power branch△PmZero, the model is equivalent to the PSS for a single electrical power input signal, the PSS transfer function can be determined as:
s202: and determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the system according to the PSS transfer function.
In this embodiment, the PSS phase-frequency characteristics and PSS amplitude-frequency characteristics may be determined according to equation (1), where the phase-frequency characteristics are:
the amplitude-frequency characteristic is as follows:
please refer to fig. 1 and fig. 4 together, and fig. 4 is a schematic flow chart of a PSS parameter damping effect optimization method according to another embodiment of the present application. On the basis of the above embodiment, step S102 can be detailed as follows:
s301: and acquiring the uncompensated characteristic of the excitation system of the set to be set.
In this embodiment, there are various methods for obtaining uncompensated characteristics of the excitation system, which may be obtained by performing field tests according to technical standards, or may be obtained by performing offline simulation using actual power grid data, or may be obtained by performing theoretical calculation according to a single-machine infinite system. The uncompensated characteristic of the excitation system of the set to be set includes, but is not limited to, an amplitude-frequency characteristic inherent to the excitation system of the generator, an uncompensated phase of the excitation system of the generator, and the like.
S302: and defining the damping effect index of the system according to the PSS phase-frequency characteristic, the PSS amplitude-frequency characteristic and the uncompensated characteristic.
In this embodiment, the PSS damping effect index may be defined as the damping torque provided by the PSS, that is, the projection of the PSS additional torque M on Δ ω, that is:
in the formula (4), F0Showing the amplitude-frequency characteristic inherent to the excitation system of the generator, FpShowing the PSS amplitude-frequency characteristics. Uncompensated phaseAngle and PSS compensation angleThe sum represents the angle between the additional moment M and- Δ P. As shown in fig. 3, Δ ω and- Δ P are two input signals of the excitation system of the unit to be set. The spatial dimension relationship of the two input signals can refer to fig. 5, fig. 5 is a phase compensation and input signal relationship diagram, and in this embodiment, the parameters need to be adjusted to make the included angle between the additional moment M and Δ ω of the PSS at different frequency bands as 0 as possible. The additional torque should be between 20 ° leading the Δ ω axis and 45 ° lagging, i.e., M should be between-70 ° and-135 ° from- Δ P, as required by industry standards.
Referring to fig. 1 and fig. 6 together, as an embodiment of the PSS parameter damping effect optimizing method provided in the present invention, on the basis of the above embodiment, step S302 may be detailed as follows:
s401: and defining an initial damping effect index of the system according to the PSS phase-frequency characteristic, the PSS amplitude-frequency characteristic and the uncompensated characteristic.
S402: and simplifying the initial damping effect index according to the parameter characteristic of the excitation system of the set to be set to obtain the damping effect index of the system.
In this embodiment, based on the PSS damping effect index formula (4) defined above, the formula (4) can be simplified according to the parameter characteristics of the excitation system to obtain a simplified damping effect index. For example, generator excitation system model parameters have been determined, so F0Is a constant at different frequencies, and is further represented by the formula (3) FpIn the expression Ks1、Ks2And all are constants, the indexes for representing the PSS damping effect can be simplified as follows:
please refer to fig. 1 and 7 together, fig. 7 is a flow chart of a PSS parameter damping effect optimization method according to another embodiment of the present application. On the basis of the above embodiment, step S103 can be detailed as follows:
s501: and setting the constraint conditions and the optimization target of the PSS parameter optimization model.
In the embodiment, the low-frequency oscillation caused by weak damping comprises a local mode and a regional mode, and the oscillation frequency of different modes is generally between 0.1 and 2.0 Hz. According to the technical standard, the additional moment M is between 40 degrees advanced from the delta-omega axis or 45 degrees retarded from the delta-omega axis in the range of 0-0.2Hz, and between 20 degrees advanced from the delta-omega axis or 45 degrees retarded from the delta-omega axis in the range of 0.2-2 Hz. The parameter optimization value range is established by combining engineering experience, Tw3、T7The constant and phase-shift link parameter T are specified according to experience1-T4Has a value range of [0.01,1 ]]。
Then the constraint may be:
the optimized parameter can be phase-shift link parameter T1～T4The optimization objective may be a maximum damping force.
S502: and establishing a PSS parameter optimization model based on the damping effect index, the constraint condition and the optimization target.
In this embodiment, a parameter optimization model is established with the maximum damping force provided as an optimization target within the range of phase-frequency characteristics required by technical standards. The parameter optimization model is shown as a formula (7), the optimization target in the formula (7) is that the sum of the damping forces obtained in a target frequency band (0-2Hz) is maximum, and the constraint condition of inequality constraint is that the additional moment M is between 40 degrees of an advance delta omega shaft or 45 degrees of a lag in a range of 0-0.2Hz and between 20 degrees of the advance delta omega shaft or 45 degrees of the lag in a range of 0.2-2Hz according to the technical standard requirement. T isW3、T7Presetting and phase-shifting link parameter T1～T4As the parameter to be optimized, the value range is set to [0.01, 1%]。
From the above description, the embodiments of the present invention equate the optimization of the damping effect of the PSS parameter to a problem of finding the maximum damping effect within the specified phase-frequency characteristic range. By solving the problem, the damping effect with the best effect can be obtained within the specified adaptability range, and the balance between adaptability and effectiveness is realized.
Optionally, referring to fig. 1 and fig. 7, as a specific implementation of the PSS parameter damping effect optimization method provided in the embodiment of the present invention, on the basis of the foregoing embodiment, step S103 may further include:
s503: and solving the optimized parameter values of the PSS parameter optimization model according to a nonlinear multi-parameter constraint optimization algorithm.
In this embodiment, the nonlinear multi-parameter bounded constraint optimization problem can be solved by, but not limited to, the following methods: active set algorithms, trust domain algorithms, intelligent algorithms, etc. Solving to obtain a convergence result, namely the PSS optimized parameter T1-T4。
Optionally, as a specific implementation manner of the PSS parameter damping effect optimization method provided by the embodiment of the present invention, the PSS parameter damping effect of the to-be-set unit excitation system in the actual power grid may be optimized. If the set adopts the PSS circuit model as shown in fig. 3. When the PSS is out of operation, the damping ratio of the power oscillation curve of the set is 0.0488 under the condition that a certain fault occurs in the power grid, and the oscillation frequency is 1.2471 Hz. If the PSS parameter damping effect of the unit is optimized, then
Firstly, acquiring the uncompensated characteristic of the excitation system of the unit:
and obtaining the uncompensated phase-frequency characteristic based on the actual power grid simulation. The uncompensated phase-frequency characteristics of the unit are obtained through calculation of PSD software, and are shown in FIG. 8, wherein simulation data are offline data of an actual power grid.
The next step is to calculate the PSS transfer function of the system:
according to the PSS circuit model of fig. 3, the PSS transfer function may be:
calculating the PSS phase frequency characteristic and the PSS amplitude frequency characteristic of the unit excitation system according to the formula (8):
the PSS phase frequency characteristics are as follows:
the PSS has the following amplitude-frequency characteristics:
defining a damping effect index in the next step:
the damping effect index can be defined as the projection of the damping torque provided by the PSS on Δ ω, that is:
in the embodiment, F is considered because the model parameters of the generator excitation system are determined0Is constant at different frequencies, FpIn the expression Ks1、Ks2All are constants, the index representing the damping effect of the PSS can be simplified to be
And determining constraint conditions and an optimization target:
according to the technical standard, the additional moment M is between 40 degrees advanced from the delta-omega axis or 45 degrees retarded from the delta-omega axis in the range of 0-0.2Hz, and between 20 degrees advanced from the delta-omega axis or 45 degrees retarded from the delta-omega axis in the range of 0.2-2 Hz.
Phase shift link parameter T1～T4As the parameter to be optimized. The optimized parameter range can be established by combining engineering experience, Tw3、T7Can be specified as constant according to experience, and phase-shift link parameter T1-T4Has a value range of [0.01,1 ]]. Then the constraint may be:
wherein, the optimized parameter can be phase-shift link parameter T1～T4The optimization objective may be a maximum damping force.
And establishing a PSS parameter optimization model:
in this embodiment, the maximum damping force can be provided as an optimization target in the phase-frequency characteristic range required by the technical standard, and a parameter optimization model is established:
and finally, solving an optimization problem, namely solving the optimization parameter values of the PSS parameter optimization model:
the nonlinear multi-parameter boundary constraint optimization problem of the PSS parameter optimization model in the embodiment can be solved by, but not limited to, the following methods: active set algorithms, trust domain algorithms, intelligent algorithms, etc. The convergence result and the damping ratio when the same fault occurs after the PSS is added are obtained by solving, as shown in table 1.
TABLE 1 PSS parameters found by the method of the embodiment of the present invention
| T1 | T2 | T3 | T4 | Damping ratio |
| 0.31 | 0.05 | 0.59 | 0.06 | 0.1775 |
From the above description, the parameter obtained by the method for optimizing the PSS parameter damping effect provided by the embodiment of the invention enables the PSS investment to be increased by 0.1775-0.0488-0.1287 compared with the withdrawal damping ratio under the same fault.
Optionally, as a specific implementation manner of the PSS parameter damping effect optimization method provided in the embodiment of the present invention, the method is, compared with an engineering method and a phase-frequency optimization method:
comparing the engineering setting method, the phase-frequency optimization method (taking the phase-frequency characteristics of different frequencies after compensation and the target characteristic-90 as a difference sum, and taking the difference sum as a minimum as a target) and the setting effect of the method of the embodiment of the invention, the PSS parameters obtained by different methods are shown in table 2, the PSS damping effect of different optimization methods is shown in figure 9, the parameters obtained by different methods are shown in figure 10, and the unit power oscillation curve under the condition of the same power grid disturbance is shown in figure 10.
TABLE 2 PSS parameters for different optimization methods
| Method of producing a composite material | T1 | T2 | T3 | T4 | Damping ratio |
| Engineering parameters | 0.21 | 0.02 | 0.3 | 0.03 | 0.1102 |
| Phase frequency optimization | 0.21 | 0.01 | 0.22 | 0.01 | 0.1003 |
| Damping force optimization | 0.31 | 0.05 | 0.59 | 0.06 | 0.1775 |
As can be seen from fig. 9, the damping effect optimization method provided by the embodiment of the present invention can provide a larger damping force within a frequency range of 0.2 to 2Hz, and the damping force provided only around 0.1Hz is smaller than the engineering parameters and the phase frequency optimization parameters, but low-frequency oscillation generally occurs above 0.2Hz, so that the parameter effect obtained by the optimization method provided by the embodiment of the present invention is better.
As can be seen from fig. 10 and table 2, the damping ratios of the unit oscillation powers of different optimization methods under the same fault are, from low to high, PSS-free, phase frequency optimization, engineering parameter optimization and damping force optimization in sequence. From fig. 10, it can be seen that the oscillation curve of the unit under the phase frequency optimization and engineering parameters requires about 6 oscillation dips, while the damping force optimization parameter provided by the embodiment of the present invention requires only about 3 oscillations, and the amplitude is significantly smaller than the first two.
Optionally, as a specific implementation manner of the PSS parameter damping effect optimization method provided in the embodiment of the present invention, the method is, compared with a commercial software method:
in the embodiment, PSS parameter setting commercial software widely applied to a certain point is selected as comparison, and the gain coefficient K iss1And a DC blocking link parameter TW3、T7Under the same condition (set to 5), the PSS parameter of the unit and the damping ratio of the unit power curve under the corresponding parameter are obtained respectively, and the result is shown in table 3, the damping ratio of the PSS parameter damping effect optimization method and the commercial software method provided by the embodiment of the invention is shown in fig. 11, and the oscillation curve of the unit power when the same fault occurs under different parameters of the PSS is shown in fig. 12.
TABLE 3 PSS parameters of commercial software methods and methods of embodiments of the invention
As can be seen from fig. 12, the damping force optimization method provided in the embodiment of the present invention can provide a larger damping force in the frequency range of 0.1 to 2Hz, and as can be seen from table 3 and fig. 12, the damping of the unit oscillation power under the same fault is significantly higher than that of the damping effect optimization method provided in the embodiment of the present invention, and the commercial software method requires disturbance of about 4 oscillation dips to obtain the optimization parameter, and the damping effect optimization method provided in the embodiment of the present invention requires only about 2 times, and the amplitude is significantly smaller than that of the former.
Corresponding to the PSS parameter damping effect optimization method of the above embodiment, fig. 13 is a structural block diagram of the PSS parameter damping effect optimization device provided in an embodiment of the present invention. For convenience of explanation, only portions related to the embodiments of the present invention are shown. Referring to fig. 13, the apparatus includes: the system comprises a characteristic determination module 10, an index determination module 20, a model building module 30 and a parameter optimization module 40.
The characteristic determining module 10 is configured to determine a PSS phase-frequency characteristic and a PSS amplitude-frequency characteristic of a set excitation system to be set according to a PSS circuit model of the system.
And an index determining module 20, configured to define a damping effect index of the system according to the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic.
And the model establishing module 30 is used for establishing a PSS parameter optimization model according to the damping effect index.
And the parameter optimization module 40 is used for optimizing the damping effect of the PSS parameter according to the PSS parameter optimization model.
Referring to fig. 13, in another embodiment of the present invention, the characteristic determining module 10 may include:
and the function determining unit 11 is configured to determine a PSS transfer function of the excitation system of the unit to be set according to the PSS circuit model of the excitation system.
And a characteristic determining unit 12, configured to determine a PSS phase-frequency characteristic and a PSS amplitude-frequency characteristic of the system according to the PSS transfer function.
Referring to fig. 13, in still another embodiment of the present invention, the index determining module 20 may include:
and the characteristic obtaining unit 21 is used for obtaining the uncompensated characteristic of the excitation system of the set to be set.
And an index determining unit 22, configured to define a damping effect index of the system according to the PSS phase-frequency characteristic, the PSS amplitude-frequency characteristic, and the uncompensated characteristic.
Referring to fig. 13, in still another embodiment of the present invention, the index determining unit 22 may include:
and an index determining device 221, configured to define an initial damping effect index of the system according to the PSS phase-frequency characteristic, the PSS amplitude-frequency characteristic, and the uncompensated characteristic.
And the index simplifying device 222 is used for simplifying the initial damping effect index according to the parameter characteristic of the excitation system of the set to be set to obtain the damping effect index of the system.
Referring to fig. 13, in yet another embodiment of the present invention, the model building module 30 may include:
and a condition setting unit 31, configured to set a constraint condition and an optimization target of the PSS parameter optimization model.
And the model establishing unit 32 is used for establishing a PSS parameter optimization model based on the damping effect index, the constraint condition and the optimization target.
Referring to fig. 13, in a further embodiment of the present invention, the model building module 30 may further include:
and the parameter solving unit 33 is configured to solve the optimized parameter values of the PSS parameter optimization model according to the nonlinear multi-parameter constraint optimization algorithm.
Referring to fig. 14, fig. 14 is a schematic block diagram of a terminal device according to an embodiment of the present invention. The terminal 600 in the present embodiment shown in fig. 14 may include: one or more processors 601, one or more input devices 602, one or more output devices 603, and one or more memories 604. The processor 601, the input device 602, the output device 603 and the memory 604 are all connected to each other via a communication bus 605. The memory 604 is used to store computer programs, which include program instructions. Processor 601 is operative to execute program instructions stored in memory 604. Among other things, the processor 601 is configured to call program instructions to perform the following functions for operating the modules/units in the above-described device embodiments, such as the functions of the modules 10 to 40 shown in fig. 13.
It should be understood that, in the embodiment of the present invention, the Processor 601 may be a Central Processing Unit (CPU), and the Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 602 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 603 may include a display (LCD, etc.), a speaker, etc.
The memory 604 may include both read-only memory and random access memory, and provides instructions and data to the processor 601. A portion of the memory 604 may also include non-volatile random access memory. For example, the memory 604 may also store device type information.
In specific implementation, the processor 601, the input device 602, and the output device 603 described in the embodiment of the present invention may execute the implementation manners described in the first embodiment and the second embodiment of the PSS parameter damping effect optimization method provided in the embodiment of the present invention, and may also execute the implementation manner of the terminal described in the embodiment of the present invention, which is not described herein again.
In another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement all or part of the processes in the method of the above embodiments, and may also be implemented by a computer program instructing associated hardware, and the computer program may be stored in a computer-readable storage medium, and the computer program, when executed by a processor, may implement the steps of the above methods embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The computer readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk provided on the terminal, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing a computer program and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A PSS parameter damping effect optimization method is characterized by comprising the following steps:
determining PSS phase-frequency characteristics and PSS amplitude-frequency characteristics of a set excitation system to be set according to a PSS circuit model of the system;
defining a damping effect index of the system according to the PSS phase frequency characteristic and the PSS amplitude frequency characteristic;
establishing a PSS parameter optimization model according to the damping effect index;
and optimizing the PSS parameter of the excitation system of the set to be set according to the PSS parameter optimization model.
2. The method for optimizing the damping effect of the PSS parameter of claim 1, wherein the determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the excitation system of the set to be set according to the PSS circuit model of the system comprises:
determining a PSS transfer function of a set excitation system to be set according to a PSS circuit model of the system;
and determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the system according to the PSS transfer function.
3. The method of claim 1, wherein the step of defining the damping effect indicator of the system according to the PSS phase-frequency characteristics and PSS amplitude-frequency characteristics comprises:
acquiring the uncompensated characteristic of an excitation system of a set to be set;
and defining the damping effect index of the system according to the PSS phase-frequency characteristic, the PSS amplitude-frequency characteristic and the uncompensated characteristic.
4. The method of claim 3, wherein the defining the damping effectiveness metric of the system according to the PSS phase-frequency characteristics, the PSS amplitude-frequency characteristics, and the uncompensated characteristics comprises:
defining an initial damping effect index of the system according to the PSS phase-frequency characteristic, the PSS amplitude-frequency characteristic and the uncompensated characteristic;
and simplifying the initial damping effect index according to the parameter characteristic of the excitation system of the set to be set to obtain the damping effect index of the system.
5. The method of claim 1, wherein the step of establishing the PSS parameter optimization model according to the damping effectiveness indicators comprises:
setting a constraint condition and an optimization target of the PSS parameter optimization model;
and establishing a PSS parameter optimization model based on the damping effect index, the constraint condition and the optimization target.
6. The PSS parameter damping effect optimization method of claim 5, further comprising:
and solving the optimized parameter values of the PSS parameter optimization model according to a nonlinear multi-parameter constraint optimization algorithm.
7. A PSS parameter damping effect optimizing device is characterized by comprising:
the characteristic determining module is used for determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the excitation system of the set to be set according to the PSS circuit model of the excitation system of the set to be set;
the index determining module is used for defining the damping effect index of the system according to the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic;
the model establishing module is used for establishing a PSS parameter optimization model according to the damping effect index;
and the parameter optimization module is used for optimizing the damping effect of the PSS parameters according to the PSS parameter optimization model.
8. The PSS parameter damping effect optimization apparatus of claim 7, wherein the characteristic determination module comprises:
the function determining unit is used for determining a PSS transfer function of the system according to a PSS circuit model of the excitation system of the set to be set;
and the characteristic determining unit is used for determining the PSS phase-frequency characteristic and the PSS amplitude-frequency characteristic of the system according to the PSS transfer function.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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