Parameter identification method and device of photovoltaic power generation unit, medium and electronic equipment

Abstract

The invention discloses a parameter identification method and device of a photovoltaic power generation unit, a medium and electronic equipment, and relates to the field of power equipment. Parameter identification can be carried out on the power equipment more simply and efficiently. The parameter identification method of the photovoltaic power generation unit comprises the following steps: determining frequency response characteristic curves of photovoltaic power generation units of different response types; performing frequency disturbance on the to-be-identified photovoltaic power generation unit to obtain a to-be-identified curve representing the change relation between the frequency and the active power; and calculating the similarity between the to-be-identified curve and each frequency response characteristic curve, and determining to-be-identified parameters of the to-be-identified photovoltaic power generation unit according to the similarity.

Description

Technical Field

[0001] The present application relates to the field of power equipment, and in particular to a parameter identification method, device, medium and electronic equipment for a photovoltaic power generation unit. Background Art

[0002] Since the power generation capacity of new energy generators such as wind power and photovoltaic power generation units depends on climate resources such as wind and light, and is strongly affected by climate, season, region and other conditions, new energy power generation has the characteristics of randomness, intermittency and volatility. Large-scale new energy grid connection has caused a huge impact on the frequency stability of the existing power system. At the same time, the "zero inertia" and no frequency regulation capability caused by the grid connection of power electronic devices have further aggravated the frequency regulation pressure of the power grid. The mechanical torque of conventional synchronous machines cannot change suddenly, and the rotor speed is directly related to the system frequency, which can directly damp the system frequency change. In order to enable the photovoltaic unit to have similar frequency regulation functions, additional frequency regulation controls such as comprehensive inertia control, virtual synchronous machine control and load reduction standby control are adopted.

[0003] Parameter identification technology does not rely on internal system information. It can establish mathematical connections within the system and determine unknown parameters based only on measurable input and output information outside the system. It uses complex optimization methods to achieve a high degree of fit to the input and output characteristics of the actual system. Parameter identification technology has been widely used in the field of generator and grid-connected operation control, and its identification objects include prime mover systems, excitation systems, line impedance models, and load models. The few existing frequency-related parameter identification methods are all based on the premise that the frequency controller structure is known, but the algorithms are complex and difficult to implement, making it difficult to adapt to actual engineering problems. Therefore, it is urgent to propose an integrated identification method for control structure and control parameters for inertia / frequency response scenarios. It is imperative to carry out refined modeling and parameter identification research of photovoltaic units suitable for inertia / frequency response scenarios. Summary of the invention

[0004] The present application provides a parameter identification method, device, medium and electronic device for a photovoltaic power generation unit, which can detect the activity of an application and provide data reference for application optimization.

[0005] In a first aspect, the present application provides a method for identifying parameters of a photovoltaic power generation unit, comprising:

[0006] Determine the frequency response characteristic curves of photovoltaic power generation units with different response types;

[0007] Perform frequency disturbance on the photovoltaic power generation unit to be identified, and obtain the identification curve representing the relationship between the frequency and the active power;

[0008] The similarity between the to-be-identified curve and each of the frequency response characteristic curves is calculated, and the to-be-identified parameter of the to-be-identified photovoltaic power generation unit is determined according to the similarity.

[0009] According to the parameter identification method of the photovoltaic power generation unit provided in the embodiment of the present application, to perform parameter identification on the photovoltaic power generation unit to be identified, it is only necessary to perform frequency disturbance on the photovoltaic power generation unit to be identified to obtain a curve to be identified of the relationship between its frequency and active power. The parameters to be identified of the photovoltaic power generation unit can be identified through the curve to be identified. This method is simpler and more efficient, does not depend on data, environment and other conditions, is more suitable for practical applications, and has higher availability.

[0010] In an exemplary embodiment, determining the frequency response characteristic curves of photovoltaic power generation units of different response types includes:

[0011] The active power of photovoltaic power generation units of different response types under different light intensities under frequency disturbance is obtained, and a frequency response characteristic curve representing the changing relationship between the frequency and the active power is determined; the response types include non-frequency modulation control, inertia control, droop control and inertia droop control.

[0012] In an exemplary embodiment, determining the to-be-identified parameter of the to-be-identified photovoltaic power generation unit according to the similarity includes:

[0013] The frequency response characteristic curves are combined to obtain a first characteristic curve, and the first characteristic curve is divided into a plurality of curve intervals, and a curve interval corresponding to each frequency response characteristic curve is determined;

[0014] Determining a curve interval corresponding to the curve to be identified according to the similarity between the curve to be identified and each of the frequency response characteristic curves;

[0015] The response type of the photovoltaic power generation unit to be identified is determined based on the curve interval, and the parameter to be identified corresponding to the response type is calculated.

[0016] In an exemplary implementation, dividing the first characteristic curve into a plurality of curve intervals and determining the curve interval corresponding to each frequency response characteristic curve includes:

[0017] Divide the first characteristic curve into a plurality of curve intervals according to the test start time t0, the disturbance start time t1, the time t2 when the active power reaches a temporary steady state, the frequency start recovery time t3, the time t4 when the active power reaches a steady state, and the test end time t5;

[0018] It is determined that the response type corresponding to the curve interval t0-t1 is non-frequency modulation control, the response type corresponding to the curve interval t1-t2 is inertia control, the response type corresponding to the curve interval t2-t3 is droop control, and the response type corresponding to the curve interval t1-t4 is inertia droop control.

[0019] In an exemplary embodiment, determining the response type of the photovoltaic power generation unit to be identified based on the curve interval includes:

[0020] A target frequency characteristic curve having the highest similarity to the to-be-identified curve is obtained, and a response type of the to-be-identified photovoltaic power generation unit is determined according to the target frequency characteristic curve.

[0021] In an exemplary embodiment, calculating the parameter to be identified corresponding to the response type includes:

[0022] If the response type is droop control, the parameter value of the droop coefficient is calculated according to the frequency change data, power change data of the curve interval and the frequency and active power in the curve to be identified;

[0023] If the response type is inertia control, the parameter value of the inertia coefficient is calculated according to the frequency change data and the power change data of the curve interval and the frequency and the active power in the curve to be identified.

[0024] In an exemplary embodiment, it further includes:

[0025] Obtaining the steady-state active power of the curve to be identified, and obtaining the parameter to be identified;

[0026] The active output of the to-be-identified curve at the rated frequency is obtained, and the reserve rate of the to-be-identified photovoltaic power generation unit is calculated based on the active output and the rated active power of the to-be-identified photovoltaic power generation unit to obtain the to-be-identified parameter.

[0027] In a second aspect, the present application provides a parameter identification device for a photovoltaic power generation unit, comprising:

[0028] A curve library acquisition module is used to determine the frequency response characteristic curves of photovoltaic power generation units of different response types;

[0029] A photovoltaic data acquisition module is used to perform frequency disturbance on the photovoltaic power generation unit to be identified, and obtain a curve to be identified that represents the relationship between the change in frequency and active power;

[0030] The parameter identification module is used to calculate the similarity between the curve to be identified and each of the frequency response characteristic curves, and determine the parameter to be identified of the photovoltaic power generation unit to be identified according to the similarity.

[0031] In a third aspect, the present application provides an electronic device, the electronic device comprising a memory and one or more processors. The memory stores one or more computer programs, the computer programs comprising instructions, and when the instructions are executed by the processor, the electronic device can execute the parameter identification method of the photovoltaic power generation unit in the first aspect.

[0032] In a fourth aspect, the present application provides a computer-readable storage medium having instructions stored therein, which, when executed on an electronic device, enables the electronic device to execute the parameter identification method of the photovoltaic power generation unit as in the first aspect.

[0033] In a fifth aspect, the present application provides a computer program product. When the computer program product is run on an electronic device, the electronic device executes the parameter identification method of the photovoltaic power generation unit as described in the first aspect.

[0034] It can be understood that the beneficial effects that can be achieved by the parameter identification device, electronic device, computer-readable storage medium, and computer program product of the photovoltaic power generation unit provided above can refer to the beneficial effects in the first aspect and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A schematic diagram of a flow chart of a method for identifying parameters of a photovoltaic power generation unit provided in an embodiment of the present application;

[0036] Figure 2 A graph of a photovoltaic power generation unit provided in an embodiment of the present application;

[0037] Figure 3 Another curve diagram of a photovoltaic power generation unit provided in an embodiment of the present application;

[0038] Figure 4 A schematic diagram of the structure of a parameter identification device for a photovoltaic power generation unit provided in an embodiment of the present application;

[0039] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second" and the like are used to distinguish the same items or similar items with substantially the same functions and effects. For example, the first chip and the second chip are only used to distinguish different chips, and their order is not limited. Those skilled in the art can understand that the words "first", "second" and the like do not limit the quantity and execution order, and the words "first", "second" and the like do not necessarily limit the difference. It should be noted that in the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or design solutions. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way. In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more.

[0041] It should be noted that the “at…” in the embodiments of the present application may be the instant when a certain situation occurs, or may be a period of time after the occurrence of a certain situation, and the embodiments of the present application do not specifically limit this.

[0042] The implementation of this embodiment will be described in detail below with reference to the accompanying drawings.

[0043] The present embodiment provides a parameter identification method for a photovoltaic power generation unit. By way of example, the parameter identification method for the photovoltaic power generation unit can be applied to various electronic devices such as computers (PCs), tablet computers, virtual reality / augmented reality devices, wearable devices, industrial computers, and vehicle computers; it can also be applied to servers, cloud computing, server clusters, etc., and the present embodiment does not make any special limitations on this.

[0044] Figure 1 A schematic flow chart of a method for identifying parameters of a photovoltaic power generation unit provided in an embodiment of the present application is shown.

[0045] like Figure 1 As shown, the parameter identification method of the photovoltaic power generation unit may include the following steps:

[0046] Step 101: Determine frequency response characteristic curves of photovoltaic power generation units of different response types.

[0047] The frequency response characteristic curve refers to the relationship between the frequency and active power of a photovoltaic power generation unit. The frequency response characteristic curve is obtained by perturbing the frequency of actual photovoltaic power generation units of different response types and reading the active power output. Alternatively, a model of a photovoltaic power generation unit is pre-built and the frequency and active power are obtained by testing the model.

[0048] In an exemplary embodiment, determining the frequency response characteristic curve of photovoltaic power generation units of different response types includes: obtaining the active power of photovoltaic power generation units of different response types under frequency disturbance under different light intensities, and determining the frequency response characteristic curve characterizing the changing relationship between the frequency and the active power; the response types include non-frequency modulation control, inertia control, droop control and inertia droop control.

[0049] Test the actual unit or black box model under different light intensities and different frequency disturbances, and establish a frequency response characteristic curve library containing frequency and active power data. Figure 2 As shown, Figure 2 (a) is the frequency response characteristic curve without frequency modulation control. Figure 2 (b) is the frequency response characteristic curve of inertia control. Figure 2 (c) is the frequency response characteristic curve of droop control. Figure 2 (d) in the figure is the frequency response characteristic curve of inertia droop control.

[0050] Step 102: Perform frequency disturbance on the photovoltaic power generation unit to be identified to obtain a curve to be identified that represents the relationship between the frequency and the active power.

[0051] Step 103: Calculate the similarity between the to-be-identified curve and each of the frequency response characteristic curves, and determine the to-be-identified parameter of the to-be-identified photovoltaic power generation unit according to the similarity.

[0052] The distance between the curve to be identified and each frequency response characteristic curve is calculated by a similarity algorithm, such as the Euclidean distance, and the target frequency characteristic curve with the highest similarity to the curve to be identified is obtained. The response type of the photovoltaic power generation unit to be identified is determined according to the target frequency characteristic curve. Figure 2 The similarity of the frequency response characteristic curve shown in (b) is the highest, so it can be determined that the response type corresponding to the curve to be identified is inertia control.

[0053] Determining the parameters to be identified of the photovoltaic power generation unit to be identified based on the similarity specifically includes: merging the frequency response characteristic curves to obtain a first characteristic curve, dividing the first characteristic curve into multiple curve intervals, and determining the curve interval corresponding to each frequency response characteristic curve; determining the curve interval corresponding to the curve to be identified based on the similarity between the curve to be identified and each of the frequency response characteristic curves, determining the response type of the photovoltaic power generation unit to be identified based on the curve interval, and calculating the parameters to be identified corresponding to the response type.

[0054] All data in the curve library are integrated to draw a frequency response characteristic curve, i.e., the first characteristic curve. The first characteristic curve includes both the frequency response part and the inertia response part. According to the test start time t0, the disturbance start time t1, the time t2 when the active power reaches a temporary steady state, the frequency start recovery time t3, the time t4 when the active power reaches a steady state, and the test end time t5, the first characteristic curve is divided into multiple curve intervals; the response type corresponding to the curve interval t0-t1 is determined to be non-frequency modulation control, the response type corresponding to the curve interval t1-t2 is inertia control, the response type corresponding to the curve interval t2-t3 is droop control, and the response type corresponding to the curve interval t1-t4 is inertia droop control.

[0055] For example, Figure 3 As shown, according to the different disturbance times, the first characteristic curve is divided into five curve intervals: steady state before disturbance (t0-t1), transient state when disturbance occurs (t1-t2), temporary steady state when disturbance is stable (t2-t3), transient state when disturbance is recovered (t3-t4) and steady state after disturbance (t4-t5). Among them, t0-t5 are the test start time, disturbance start time, the time when active power reaches temporary steady state, the time when frequency starts to recover, the time when active power reaches steady state and the test end time. It can be seen that different curve intervals correspond to different frequency response characteristic curves and response types.

[0056] According to the similarity between the curve to be identified and each frequency response characteristic curve, the curve interval included in the curve to be identified can be determined, and then the corresponding response type of the parameter to be identified can be calculated based on the data in the curve interval. Specifically, if the response type is droop control, the parameter value of the droop coefficient is calculated based on the frequency change data, power change data of the curve interval, and the frequency and active power in the curve to be identified; if the response type is inertia control, the parameter value of the inertia coefficient is calculated based on the frequency change data, power change data of the curve interval, and the frequency and active power in the curve to be identified.

[0057] In addition, the active power threshold of the curve to be identified is obtained to obtain the parameter to be identified; the active output of the curve to be identified at the rated frequency is obtained, and the standby rate of the photovoltaic power generation unit to be identified is calculated based on the active output and the rated active power of the photovoltaic power generation unit to be identified to obtain the parameter to be identified.

[0058] By setting the frequency change, the frequency response characteristic curve of each response type is obtained. According to the frequency response characteristic curve, the frequency change range, frequency change rate and other frequency change data, power change range, power change rate and other power change data corresponding to the response type can be determined. Then the frequency change data and power change data are used to determine the parameters to be identified. The details are as follows:

[0059] Active power threshold T p0 :

[0060] According to the first characteristic curve, the frequency reaches the maximum value in the interval t1 to t2, so the identification of the steady-state power threshold corresponds to the interval t1 to t2, and the interval t1 to t4 is the curve interval corresponding to the frequency response and the virtual inertia response. Exemplarily, in the established frequency response characteristic curve library, the maximum steady-state active power of the photovoltaic unit that does not respond to the frequency change under the condition of frequency change (0.1Hz<|Δf|≤1.5Hz, 0.3Hz / s<|df / dt|, the recommended frequency setting value is 49Hz, 51Hz, and the frequency change rate is ±1Hz / s) (i.e., the curve interval t0-t1) is extracted, and the active threshold T of the unit participating in the frequency regulation is obtained. p0 , which can be directly observed.

[0061] Reserve rate η:

[0062] The photovoltaic panel parameters are set to rated conditions. The active output of the photovoltaic unit during steady-state operation (i.e., t0-t1) is the maximum output P after load shedding and standby. 0max , the reserve rate η is calculated by the following formula:

[0063]

[0064] Where: P n is the rated active power of the photovoltaic power generation unit to be identified.

[0065] FM dead zone f d :

[0066] Extraction of photovoltaic cells at P>T p0 Under the condition of frequency slope change (0.3Hz / s<|df / dt|, recommended ±1Hz / s) under the corresponding light intensity, the highest frequency (frequency drop condition) and the lowest frequency (frequency rise condition) of active power response frequency change are f d1 * and f d2 * , then the frequency modulation dead zone f d1 to f d2 It can be calculated by the following formula (2):

[0067]

[0068] Where: f n is the rated frequency of the photovoltaic power generation unit to be identified.

[0069] Active power regulation upper and lower limits dp max With dp min

[0070] Extract the maximum and minimum active power p of the photovoltaic unit during the frequency disturbance under the condition of the photovoltaic unit frequency slope change 1max and p 1min , dp max With dp min It can be calculated by the following formula (3):

[0071]

[0072] Droop coefficient K dr :

[0073] Extract the average active power P of the photovoltaic unit in the interval t2-t3 when the frequency of the photovoltaic unit changes stepwise and ΔP does not reach the upper and lower limits of active power regulation. 23 Then, the active reference value adjustment value ΔP2 output by the droop controller is calculated by the following formula, and K is calculated by the least squares method in combination with formula (4): dr1 With K dr2 .

[0074] ΔP2=P 23 -P0 (4)

[0075]

[0076] Virtual inertia coefficient K vi1 With K vi2 :

[0077] Extract the average active power value (characteristic value P) of the photovoltaic unit in the interval t1-t2 when the frequency slope changes and ΔP does not reach the upper and lower limits of active power regulation. 12 Then, by combining equations (5) and (6) and using the least squares method, we can calculate K vi1 With K vi2 .

[0078]

[0079] Furthermore, this embodiment also provides a parameter identification device for a photovoltaic power generation unit, which can be used to execute the parameter identification method for the photovoltaic power generation unit. Figure 4As shown, the device specifically includes a curve library acquisition module 401, which is used to determine the frequency response characteristic curves of photovoltaic power generation units of different response types; a photovoltaic data acquisition module 402, which is used to perform frequency disturbance on the photovoltaic power generation unit to be identified, and obtain the curve to be identified that characterizes the changing relationship between frequency and active power; a parameter identification module 403, which is used to calculate the similarity between the curve to be identified and each of the frequency response characteristic curves, and determine the parameters to be identified of the photovoltaic power generation unit to be identified based on the similarity.

[0080] In an exemplary embodiment, the curve library acquisition module is specifically used to: obtain the active power of photovoltaic power generation units of different response types under different light intensities under frequency disturbance, and determine a frequency response characteristic curve characterizing the changing relationship between the frequency and the active power; the response types include non-frequency modulation control, inertia control, droop control and inertia droop control.

[0081] In an exemplary embodiment, the parameter identification module 403 specifically includes: a curve division module, which is used to merge the frequency response characteristic curves to obtain a first characteristic curve, and divide the first characteristic curve into multiple curve intervals, and determine the curve interval corresponding to each frequency response characteristic curve; a comparison module, which is used to determine the curve interval corresponding to the curve to be identified based on the similarity between the curve to be identified and each of the frequency response characteristic curves; a response parameter determination module, which is used to determine the response type of the photovoltaic power generation unit to be identified based on the curve interval, and calculate the parameter to be identified corresponding to the response type.

[0082] In an exemplary embodiment, the curve division module is specifically used to: divide the first characteristic curve into multiple curve intervals according to the test start time t0, the disturbance start time t1, the active power reaches a temporary steady state time t2, the frequency starts to recover time t3, the active power reaches a steady state time t4 and the test end time t5; determine that the response type corresponding to the curve interval t0-t1 is non-frequency modulation control, the response type corresponding to the curve interval t1-t2 is inertia control, the response type corresponding to the curve interval t2-t3 is droop control, and the response type corresponding to the curve interval t1-t4 is inertia droop control.

[0083] In an exemplary embodiment, the response parameter determination module is specifically used to: obtain a target frequency characteristic curve having the highest similarity to the curve to be identified, and determine the response type of the photovoltaic power generation unit to be identified according to the target frequency characteristic curve.

[0084] In an exemplary embodiment, the response parameter determination module is specifically used to: if the response type is droop control, calculate the parameter value of the droop coefficient according to the frequency change data, power change data of the curve interval and the frequency and active power in the curve to be identified; if the response type is inertia control, calculate the parameter value of the inertia coefficient according to the frequency change data, power change data of the curve interval and the frequency and active power in the curve to be identified.

[0085] In an exemplary embodiment, the parameter identification module is also used to: obtain the steady-state active power of the curve to be identified to obtain the parameter to be identified; obtain the active output of the curve to be identified at the rated frequency, and calculate the standby rate of the photovoltaic power generation unit to be identified based on the active output and the rated active power of the photovoltaic power generation unit to be identified to obtain the parameter to be identified.

[0086] The specific details of each module or unit in the above-mentioned parameter identification device of the photovoltaic power generation unit have been described in detail in the corresponding parameter identification method of the photovoltaic power generation unit, so they will not be repeated here.

[0087] The embodiment of the present application also provides an electronic device, Figure 5 A schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present disclosure is shown. Figure 5 The electronic device 600 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0088] like Figure 5 As shown, electronic device 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 into a random access memory (RAM) 603. In RAM 603, various programs and data required for system operation are also stored. CPU 601, ROM 602 and RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to bus 604.

[0089] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage section 608 as needed.

[0090] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the central processing unit (CPU) 601, the above-mentioned functions defined in the embodiment of the present application are executed.

[0091] It should be noted that the computer-readable medium shown in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present disclosure, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0092] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0093] The units involved in the embodiments described in the present disclosure may be implemented by software or hardware, and the units described may also be arranged in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0094] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and the one or more programs include instructions, and when the instructions are executed by the electronic device, the electronic device implements the method described in the above embodiment.

[0095] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0096] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for identifying parameters of a photovoltaic power generation unit, characterized in that: include: Determine the frequency response characteristic curves of photovoltaic power generation units with different response types; Perform frequency disturbance on the photovoltaic power generation unit to be identified, and obtain the identification curve representing the relationship between frequency and active power; The similarity between the to-be-identified curve and each of the frequency response characteristic curves is calculated, and the to-be-identified parameter of the to-be-identified photovoltaic power generation unit is determined according to the similarity.

2. The method for identifying parameters of a photovoltaic power generation unit according to claim 1, characterized in that: The method of determining the frequency response characteristic curves of photovoltaic power generation units of different response types includes: The active power of photovoltaic power generation units of different response types under different light intensities under frequency disturbance is obtained, and a frequency response characteristic curve representing the changing relationship between the frequency and the active power is determined; the response types include non-frequency modulation control, inertia control, droop control and inertia droop control.

3. The parameter identification method of a photovoltaic power generation unit according to claim 1, characterized in that: The step of determining the to-be-identified parameter of the to-be-identified photovoltaic power generation unit according to the similarity comprises: The frequency response characteristic curves are combined to obtain a first characteristic curve, and the first characteristic curve is divided into a plurality of curve intervals, and a curve interval corresponding to each frequency response characteristic curve is determined; Determining a curve interval corresponding to the curve to be identified according to the similarity between the curve to be identified and each of the frequency response characteristic curves; The response type of the photovoltaic power generation unit to be identified is determined based on the curve interval, and the parameter to be identified corresponding to the response type is calculated.

4. The method for identifying parameters of a photovoltaic power generation unit according to claim 3, characterized in that: The step of dividing the first characteristic curve into a plurality of curve intervals and determining a curve interval corresponding to each frequency response characteristic curve includes: Divide the first characteristic curve into a plurality of curve intervals according to the test start time t0, the disturbance start time t1, the time t2 when the active power reaches a temporary steady state, the frequency start recovery time t3, the time t4 when the active power reaches a steady state, and the test end time t5; It is determined that the response type corresponding to the curve interval t0-t1 is non-frequency modulation control, the response type corresponding to the curve interval t1-t2 is inertia control, the response type corresponding to the curve interval t2-t3 is droop control, and the response type corresponding to the curve interval t1-t4 is inertia droop control.

5. The method for identifying parameters of a photovoltaic power generation unit according to claim 4, characterized in that: The step of determining the response type of the photovoltaic power generation unit to be identified based on the curve interval includes: A target frequency characteristic curve having the highest similarity to the to-be-identified curve is obtained, and a response type of the to-be-identified photovoltaic power generation unit is determined according to the target frequency characteristic curve.

6. The method for identifying parameters of a photovoltaic power generation unit according to claim 5, characterized in that: The calculating the parameter to be identified corresponding to the response type includes: If the response type is droop control, the parameter value of the droop coefficient is calculated according to the frequency change data, power change data of the curve interval and the frequency and active power in the curve to be identified; If the response type is inertia control, the parameter value of the inertia coefficient is calculated according to the frequency change data and the power change data of the curve interval and the frequency and the active power in the curve to be identified.

7. The method for identifying parameters of a photovoltaic power generation unit according to claim 1, characterized in that: Also includes: Obtaining the steady-state active power of the curve to be identified, and obtaining the parameter to be identified; The active output of the to-be-identified curve at the rated frequency is obtained, and the reserve rate of the to-be-identified photovoltaic power generation unit is calculated based on the active output and the rated active power of the to-be-identified photovoltaic power generation unit to obtain the to-be-identified parameter.

8. A parameter identification device for a photovoltaic power generation unit, characterized in that: include: A curve library acquisition module is used to determine the frequency response characteristic curves of photovoltaic power generation units of different response types; A photovoltaic data acquisition module is used to perform frequency disturbance on the photovoltaic power generation unit to be identified, and obtain a curve to be identified that represents the relationship between the change in frequency and active power; The parameter identification module is used to calculate the similarity between the curve to be identified and each of the frequency response characteristic curves, and determine the parameter to be identified of the photovoltaic power generation unit to be identified according to the similarity.

9. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the parameter identification method of the photovoltaic power generation unit according to any one of claims 1 to 7.

10. An electronic device, characterized in that: It comprises a processor and a memory, wherein one or more computer programs are stored in the memory, and the one or more computer programs include instructions. When the instructions are executed by the electronic device, the electronic device executes the parameter identification method of the photovoltaic power generation unit described in any one of claims 1 to 7.

Images