CN117937520A - New energy multi-machine system stability analysis method and system - Google Patents
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Abstract
The invention discloses a new energy multi-machine system stability analysis method and a system, wherein the method comprises the following steps: acquiring waveform data of a new energy multi-machine system grid connection point in a monitoring time period, wherein the waveform data comprises a three-phase current value and a three-phase voltage value in the monitoring time period and the maximum value of the three-phase voltage in the monitoring time period; calculating the amplitude sensitivity and the critical amplitude sensitivity of the new energy multi-machine system according to the waveform data, and calculating the voltage oscillation frequency and the current oscillation frequency of the new energy multi-machine system under three phases by utilizing the fast Fourier transform; calculating a frequency sensitive value and a critical frequency sensitive value of the new energy multi-machine system according to the voltage oscillation frequency and the current oscillation frequency; and determining a stability improvement strategy of the new energy multi-machine system according to the amplitude sensitivity, the critical amplitude sensitivity, the frequency sensitivity value and the critical frequency sensitivity value. The method realizes quantitative evaluation of the small signal stability of the new energy multi-machine system and is used for determining the stability improvement strategy of the new energy multi-machine system.
Description
Technical Field
The invention belongs to the technical field of stability analysis of a new energy multi-machine system, and particularly relates to a method and a system for stability analysis of a new energy multi-machine system.
Background
Power electronics, particularly wind power with high modulation frequencies, broadband coupling, photovoltaic converters and modular multilevel converters (modular multilevel converter, MMC) which are widely used in recent flexspline applications, are sensitive to broadband dynamic response including medium and high frequencies, and their interaction with the power grid can lead to non-characteristic subharmonic oscillations, amplification and instability of frequencies from hundred hertz to super kilohertz, causing harmonic overvoltage, overcurrent and even more serious power quality and system stability problems. Therefore, with the development of the trend of 'double high' of the power system, a plurality of novel small signal stability problems which cannot be covered occur. How to analyze the stability of the novel small signal and select a proper stability improving means is the focus of the current research.
Damping control is an effective method for improving the stability of small signals of a new energy multi-machine system. The damping control method is divided into passive damping control and active damping control.
The passive damping control method is a method for system control by introducing passive elements (such as dampers) into the system. The method is divided into series connection access and parallel connection access according to the access mode, and has the advantages of being free from the influence of the hardware performance of the converter and free from the influence of control delay and modulation performance. However, the passive damping control method introduces dissipation elements inside the system, and the dissipation elements consume energy of the system and increase power consumption of the system, so that the passive damping control may cause energy efficiency reduction of the new energy multi-machine system, thereby affecting reliability and economy of the power grid. Compared with passive damping control, the active damping control has the advantage of economy, can realize damping control without increasing cost, and on the other hand, compared with passive damping, the active damping control has the advantage of flexibility, and can realize on-line adjustment of the amplitude and the frequency of damping under the condition of not affecting the normal operation of a unit. However, the current research fails to provide quantitative system small signal stability evaluation indexes according to the monitored waveform data of the new energy multi-machine system, so that the existing analysis method is difficult to provide visual damping control method selection suggestions for improving the stability of the new energy multi-machine system, and proper damping values cannot be added.
Disclosure of Invention
The invention provides a new energy multi-machine system stability analysis method and system, which are used for solving the technical problem that the small signal stability of a new energy multi-machine system cannot be quantitatively evaluated.
In a first aspect, the present invention provides a method for analyzing stability of a new energy multi-machine system, including:
Acquiring waveform data of a new energy multi-machine system grid-connected point in a monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period；
Calculating the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>；
According to the voltage oscillation frequencyAnd the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>；
According to the amplitude sensitivityThe critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps:
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control;
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
In a second aspect, the present invention provides a new energy multi-machine system stability analysis system, including:
the acquisition module is configured to acquire waveform data of the new energy multi-machine system grid connection point in the monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period；
A first calculation module configured to calculate the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>；
A second calculation module configured to calculate a voltage oscillation frequency according to the voltage oscillation frequencyAnd the current oscillation frequencyCalculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>；
A determination module configured to determine a sensitivity according to the amplitudeThe critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps:
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control;
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
In a third aspect, there is provided an electronic device, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the new energy multi-machine system stability analysis method of any of the embodiments of the present invention.
In a fourth aspect, the present invention also provides a computer readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to execute the steps of the new energy multi-machine system stability analysis method according to any of the embodiments of the present invention.
According to the method and the system for analyzing the stability of the new energy multi-machine system, the amplitude sensitivity of the new energy multi-machine system is calculated according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>; According to the voltage oscillation frequency/>And the current oscillation frequency/>Calculating to obtain frequency sensitivity value of new energy multi-machine systemAnd critical frequency sensitivity value/>The method realizes quantitative evaluation of the small signal stability of the new energy multi-machine system and is used for determining the stability improvement strategy of the new energy multi-machine system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a new energy multi-machine system stability analysis method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram showing a new energy multi-machine system stability enhancement strategy selection according to an embodiment of the present invention;
FIG. 3 is a topology diagram of a new energy multi-machine system according to an embodiment of the present invention;
FIG. 4 is a voltage waveform diagram of a system grid-connected point acquired by a data acquisition device according to an embodiment of the present invention;
FIG. 5 is a graph showing a current waveform of a system grid-connected point collected by a data collection device according to an embodiment of the present invention;
FIG. 6 is a diagram showing the result of FFT analysis of the phase voltage of the grid-connected point of the system according to an embodiment of the present invention;
FIG. 7 is a diagram showing the result of FFT analysis of phase current of a system grid-tie point according to an embodiment of the present invention;
FIG. 8 is a block diagram illustrating a system for analyzing stability of a new energy multi-machine system according to an embodiment of the present invention;
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of a new energy multi-machine system stability analysis method of the present application is shown.
As shown in fig. 1, the method for analyzing the stability of the new energy multi-machine system specifically includes the following steps:
Step S101, acquiring waveform data of a new energy multi-machine system grid-connected point in a monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period。
In the step, the data acquisition device is arranged in a new energy station substation, the acquisition device is provided with 36 paths of acquisition channels, the maximum sampling frequency is 100kHz, and the waveform data of the first-side voltage and the second-side voltage and the current transformers of the grid-connected transformers on a plurality of lines can be acquired simultaneously, wherein the waveform data comprises three-phase current valuesThree-phase voltage value/>And measuring the maximum value/>, of the three-phase voltage over the time periodAnd sharing the result to the cloud.
Step S102, calculating the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>Calculating voltage oscillation frequency of new energy multi-machine system under three phases by utilizing fast Fourier transformAnd current oscillation frequency/>。
In the step, according to the waveform data of the cloud, a small signal stability evaluation index-amplitude sensitivity of the new energy multi-machine system is calculated. Amplitude sensitivity/>The method is used for representing the stability and the instability degree of the new energy multi-machine system.
Specifically, the maximum amplitude of the phase voltage of the new energy multi-machine system in the monitoring time period is calculatedWherein the phase voltage maximum amplitude/>, is calculatedThe expression of (2) is: /(I)According to the maximum amplitude/>Calculating the amplitude sensitivity/>, of the new energy multi-machine systemWherein, the amplitude sensitivity/>, is calculatedThe expression of (2) is: In the above, the ratio of/> The amplitude of the reference phase voltage under the voltage level of the new energy multimachine system; calculate critical amplitude sensitivity/>Wherein, the critical amplitude sensitivity/>, is calculatedThe expression of (2) is: /(I)In the above, the ratio of/>The maximum deviation value of the reference phase voltage amplitude under the voltage class of the new energy multimachine system is obtained.
When 0 is less than or equal to</>When the voltage deviation degree of the new energy multi-machine system is within the set standard, the system is considered to be not oscillated; when/>≤/>When the voltage deviation degree of the new energy multi-machine system exceeds the set standard, the system is in an unstable state and/>, the system is in a stable stateThe larger the indicating that the system is less stable.
According to the waveform data of the cloud, the oscillation frequency of the voltage and current of the new energy multi-machine system under abc three phases is calculated by utilizing fast Fourier transform (Fast Fourier Transform, FFT).
Sampling the three-phase current valueFFT analysis is respectively carried out, and the current oscillation frequency/>, of the three-phase current is respectively calculatedSampling the three-phase voltage value/>FFT analysis is respectively carried out to respectively calculate the voltage oscillation frequency/>, of the three-phase voltage。
Step S103, according to the voltage oscillation frequencyAnd the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>。
In the step, the oscillation frequency of the new energy multi-machine system is calculatedNew energy multi-machine system small signal stability evaluation index-frequency sensitivity value/>And critical frequency sensitivity value/>. The frequency sensitivity value is used for representing the difficulty level of improving the stability of the new energy multi-machine system, and the frequency sensitivity value is used for/>The larger the value is, the more difficult the stability of the new energy multi-machine system is improved.
Frequency of voltage oscillationAnd current oscillation frequency/>Calculating oscillation frequency/>, of new energy multi-machine systemWherein the oscillation frequency/>, is calculatedThe expression of (2) is:
，
，
In the method, in the process of the invention, Is the voltage oscillation frequency of the new energy multi-machine system,/>The current oscillation frequency of the new energy multi-machine system is used;
according to the oscillation frequency of the new energy multi-machine system Calculating frequency sensitivity value/>, of new energy multi-machine systemWherein, calculate the frequency sensitivity value/>, of the new energy multimachine systemThe expression of (2) is:
，
wherein, ，
In the method, in the process of the invention,、/>、/>Frequency sensitive values/>, respectivelySecondary coefficient, primary coefficient and constant coefficient,/>Is the reference frequency of voltage and current of the new energy multi-machine system,/>The switching frequency of the new energy inverter;
Calculating critical frequency sensitivity value Wherein, the critical frequency sensitivity value/>, is calculatedThe expression of (2) is:
。
If it is ≥/>The stability of the new energy multi-machine system is not easy to be improved, and passive damping control is required to be applied; if/></>The stability of the new energy multi-machine system is easy to be improved, and active damping control can be adopted.
Step S104, according to the amplitude sensitivityThe critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>And determining a stability improving strategy of the new energy multi-machine system.
In this step, the new energy multi-machine system stability improving strategy includes: if the amplitude sensitivity is highNot less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control; if the amplitude sensitivity/>Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the active damping control; if the amplitude sensitivity/>Not less than 0 and less than critical amplitude sensitivity/>And when the voltage deviation degree of the new energy multi-machine system is within the set standard, the new energy multi-machine system does not oscillate, i. As shown in FIG. 2, the part A adopts active damping control, the part B adopts passive damping control, and the part C adopts system stability without control.
In summary, the method of the application calculates the amplitude sensitivity of the new energy multimachine system according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>; According to the voltage oscillation frequency/>And the current oscillation frequency/>Calculating to obtain the frequency sensitivity value/> of the new energy multi-machine systemAnd critical frequency sensitivity value/>The method realizes quantitative evaluation of the small signal stability of the new energy multi-machine system and is used for determining the stability improvement strategy of the new energy multi-machine system.
In one embodiment, fig. 3 illustrates a new energy multi-machine system topology, wherein,As a filter, a portable data acquisition device is used for monitoring three-phase current values/>, of new energy multi-machine system grid connection pointsAnd three-phase voltage valueAnd measuring the maximum value/>, of the three-phase voltage over the time periodAnd sharing the result to the cloud. And calculating the amplitude sensitivity and the frequency sensitivity value of the small signal stability evaluation index of the new energy multi-machine system according to the waveform data in the cloud, and comparing with fig. 2, determining the stability of the new energy multi-machine system and a system stability improving method under the unstable condition.
Fig. 4 shows three-phase voltage waveforms at grid-connected points in the case of small signal instability of the new energy multi-machine system. Three-phase voltage values can be obtained by using the portable data acquisition deviceAnd monitoring the maximum value/>, of the three-phase voltage over the time period、/>、/>。
Calculating the maximum amplitude value of the phase voltage of the new energy multi-machine system in the monitoring time periodThe calculation formula is as follows:
，
And then according to the maximum amplitude of the phase voltage Calculating the amplitude sensitivity/>, of the new energy multi-machine systemThe calculation formula is as follows:
，
Calculating critical amplitude sensitivity The calculation formula is as follows:
，
Due to Therefore, the new energy multi-machine system in the state is unstable, and the stability of the system is required to be improved by adopting a damping control method. The frequency sensitivity of the system is then calculated subsequently to select the appropriate system stability promotion method.
Fig. 5 shows waveforms of three-phase currents of the grid-connected point of the new energy multi-machine system. FIG. 6 shows the result of FFT analysis of three-phase voltages at the grid-tie point, with oscillation frequency values of，/>，/>. FIG. 7 shows the result of FFT analysis of three-phase current at grid-tie point, with oscillation frequency value/>，/>，/>。
Calculating oscillation frequency of new energy multi-machine systemThe calculation formula is as follows:
，
，
then according to the oscillation frequency of the new energy multi-machine system Calculating frequency sensitivity value/>, of new energy multi-machine systemThe calculation formula is as follows:
，
Oscillating frequency of new energy multimachine system =90 Hz carry-in, resulting in/>。
Calculating critical frequency sensitivity valueThe calculation formula is as follows:
，
Therefore, the wide-band oscillation of the new energy multi-machine system in this state is easily suppressed, and active damping control is required.
In summary, it is calculated that the amplitude sensitivity of the new energy multi-machine system in this state is 0.19, which is greater thanTherefore, the new energy multi-machine system in the state is unstable, and the stability of the system is required to be improved by adopting a damping control method. Calculating the frequency sensitivity value of the new energy multi-machine system to be 1.91 which is smaller than/>Therefore, the new energy multi-machine system is easy to stably lift under the state, and active damping control is adopted.
Referring to fig. 8, a block diagram of a new energy multi-machine system stability analysis system according to the present application is shown.
As shown in fig. 8, the new energy multi-machine system stability analysis system 200 includes an acquisition module 210, a first calculation module 220, a second calculation module 230, and a determination module 240.
Wherein, the obtaining module 210 is configured to obtain waveform data of the new energy multi-machine system grid-connected point in the monitoring period, where the waveform data includes three-phase current values in the monitoring periodAnd three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period; A first calculation module 220 configured to calculate the amplitude sensitivity/>, of the new energy multi-machine system based on the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency; A second calculation module 230 configured to, according to the voltage oscillation frequency/>And the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>; A determination module 240 configured to determine the amplitude sensitivity/>The critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps: if the amplitude sensitivity/>Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control; if the amplitude sensitivity/>Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
It should be understood that the modules depicted in fig. 8 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are equally applicable to the modules in fig. 8, and are not described here again.
In other embodiments, the present invention further provides a computer readable storage medium, on which a computer program is stored, where the program instructions, when executed by a processor, cause the processor to perform the method for analyzing the stability of the new energy multi-machine system in any of the above method embodiments;
As one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
Acquiring waveform data of a new energy multi-machine system grid-connected point in a monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period；
Calculating the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>；
According to the voltage oscillation frequencyAnd the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>；
According to the amplitude sensitivityThe critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps:
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control;
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
The computer readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the new energy multimachine system stability analysis system, etc. In addition, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer readable storage medium optionally includes memory remotely located with respect to the processor, the remote memory being connectable to the new energy multi-machine system stability analysis system through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, as shown in fig. 9, where the device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 may be connected by a bus or other means, for example in fig. 9. Memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory 320, i.e. implements the method for analyzing the stability of the new energy multi-machine system according to the above method embodiment. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the new energy multi-machine system stability analysis system. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present invention.
As an implementation manner, the electronic device is applied to a new energy multi-machine system stability analysis system, and is used for a client, and includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
Acquiring waveform data of a new energy multi-machine system grid-connected point in a monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period；
Calculating the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>；
According to the voltage oscillation frequencyAnd the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>；
According to the amplitude sensitivityThe critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps:
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control;
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the various embodiments or methods of some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. The new energy multi-machine system stability analysis method is characterized by comprising the following steps of:
Acquiring waveform data of a new energy multi-machine system grid-connected point in a monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring a maximum value of the three-phase voltage during the time period；
Calculating the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>And calculating the voltage oscillation frequency/>, under three phases, of the new energy multi-machine system by utilizing the fast Fourier transformAnd current oscillation frequency/>；
According to the voltage oscillation frequencyAnd the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>；
According to the amplitude sensitivityThe critical amplitude sensitivity/>The frequency sensitivity value/>And the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps:
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control;
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
2. The method for analyzing stability of a new energy multi-machine system according to claim 1, wherein said calculating amplitude sensitivity of the new energy multi-machine system based on said waveform dataAnd critical amplitude sensitivity/>Comprising the following steps:
Calculating the maximum amplitude value of the phase voltage of the new energy multi-machine system in the monitoring time period Wherein the phase voltage maximum amplitude/>, is calculatedThe expression of (2) is:
，
according to the maximum amplitude of the phase voltage Calculating the amplitude sensitivity/>, of the new energy multi-machine systemWherein the amplitude sensitivity/>, is calculatedThe expression of (2) is:
，
In the method, in the process of the invention, The amplitude of the reference phase voltage under the voltage level of the new energy multimachine system;
Calculating critical amplitude sensitivity Wherein, the critical amplitude sensitivity/>, is calculatedThe expression of (2) is:
，
In the method, in the process of the invention, The maximum deviation value of the reference phase voltage amplitude under the voltage class of the new energy multimachine system is obtained.
3. The method for analyzing the stability of a new energy multi-machine system according to claim 1, wherein the voltage oscillation frequency is as followsAnd the current oscillation frequency/>Calculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>Comprising the following steps:
The voltage oscillation frequency And the current oscillation frequency/>Calculating oscillation frequency/>, of new energy multi-machine systemWherein the oscillation frequency/>, is calculatedThe expression of (2) is:
，
，
In the method, in the process of the invention, Is the voltage oscillation frequency of the new energy multi-machine system,/>The current oscillation frequency of the new energy multi-machine system is used;
according to the oscillation frequency of the new energy multi-machine system Calculating frequency sensitivity value/>, of new energy multi-machine systemWherein, calculate the frequency sensitivity value/>, of the new energy multimachine systemThe expression of (2) is:
，
wherein, ，
In the method, in the process of the invention,、/>、/>Frequency sensitive values/>, respectivelySecondary coefficient, primary coefficient and constant coefficient,/>Is the reference frequency of voltage and current of the new energy multi-machine system,/>The switching frequency of the new energy inverter;
Calculating critical frequency sensitivity value Wherein the critical frequency sensitivity value/>, is calculatedThe expression of (2) is:
。
4. the method for analyzing the stability of a new energy multi-machine system according to claim 1, wherein the new energy multi-machine system stability improving strategy further comprises:
If the amplitude sensitivity is high Not less than 0 and less than critical amplitude sensitivity/>And when the voltage deviation degree of the new energy multi-machine system is within the set standard, the new energy multi-machine system does not oscillate, i.
5. A new energy multi-machine system stability analysis system is characterized by comprising:
the acquisition module is configured to acquire waveform data of the new energy multi-machine system grid connection point in the monitoring time period, wherein the waveform data comprises three-phase current values in the monitoring time period And three-phase voltage value/>And monitoring the maximum value/>, of the three-phase voltage over the time period；
A first calculation module configured to calculate the amplitude sensitivity of the new energy multi-machine system according to the waveform dataAnd critical amplitude sensitivity/>Calculating voltage oscillation frequency of new energy multi-machine system under three phases by utilizing fast Fourier transformAnd current oscillation frequency/>；
A second calculation module configured to calculate a voltage oscillation frequency according to the voltage oscillation frequencyAnd the current oscillation frequencyCalculating frequency sensitivity value/>, of new energy multi-machine systemAnd critical frequency sensitivity value/>；
A determination module configured to determine a sensitivity according to the amplitudeThe critical amplitude sensitivity/>Said frequency sensitive valueAnd the critical frequency sensitivity value/>Determining a new energy multi-machine system stability improving strategy, wherein the new energy multi-machine system stability improving strategy comprises the following steps:
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Greater than the critical frequency sensitivity value/>Passive damping control is employed and amplitude sensitivity/>The larger the absolute value of (2), the larger the damping value of the passive damping control;
If the amplitude sensitivity is high Not less than critical amplitude sensitivity/>And frequency sensitivity value/>Not greater than the critical frequency sensitivity value/>Active damping control is employed and amplitude sensitivity/>The larger the absolute value of (c), the larger the damping value of the active damping control.
6. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 4.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any of claims 1 to 4.
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