Interpolation estimation method and system for output data of multi-input wind power simulation system
By constructing left and right adjacent data sequences and calculating the output data sequence, the accuracy problem of wind power simulation system under non-node data is solved, and higher accuracy simulation is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUANENG CLEAN ENERGY RES INST
- Filing Date
- 2023-03-23
- Publication Date
- 2026-06-05
AI Technical Summary
Existing wind power simulation systems have low output data accuracy when the input data is not at the minimum interval node, and the existing processing methods result in large calculation errors.
By acquiring the data sequence of the multi-input wind power simulation system to be input and the positions of the nodes not in the minimum interval, the left adjacent and right adjacent data sequences are constructed and input into the simulation system respectively. The output data sequence is calculated, and the final output data is determined using adjustment coefficients.
This improved the output accuracy of the wind power simulation system under non-node data, achieving higher accuracy simulation.
Smart Images
Figure CN116362560B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of wind power prediction, and in particular to an interpolation estimation method and system for the output data of a multi-input wind power simulation system. Background Technology
[0002] A wind power simulation system is a computer software or hardware system used to simulate the operating characteristics of wind turbine generators. It typically has multiple input terminals and multiple output terminals. Generally, the simulator operates by inputting data into the input terminals and obtaining calculation results from the output terminals. Each data point input generally has a required numerical range and minimum interval. For example, wind speed can only be set to an integer between 0 m / s and 50 m / s; pitch angle can only be set to numbers in 0.1° intervals between 0° and 90°. The upper and lower limits of the input data generally depend on the physical meaning and conventional value range of the physical quantity, but the minimum interval is related to the calculation accuracy within the simulation system and is generally difficult to shorten. Therefore, if the input data is between the upper and lower limits but not at the minimum interval node, such as a wind speed of 14.5 m / s or a pitch angle of 0.06°, the accuracy of the output results will be reduced when input to the simulation system.
[0003] Under existing technical solutions, there are two ways to handle the above situation: 1. When the input data is not at the minimum interval node, approximate the input data (using rounding, rounding up, or rounding down) to make the input data fall at the minimum interval node; 2. When the input data is not at the minimum interval node, calculate the output results at its adjacent nodes and use linear interpolation to estimate the actual output result, and output the estimated result (for example, if the wind speed is 14.5 m / s, first calculate the output results for input data of 14 m / s and 15 m / s respectively, then perform linear interpolation on the output results to estimate the output data result that should be obtained for a wind speed of 14.5 m / s). For the first solution, simply taking a close input data value for simulation calculation will cause a very large error in the calculation; for the second solution, although it uses the difference between the calculation results of two adjacent node values, this is a linear interpolation, while wind power simulation systems are usually nonlinear systems, so the accuracy of this difference method is also relatively low, and the error is relatively large. Summary of the Invention
[0004] This application provides an interpolation estimation method and system for the output data of a multi-input wind power simulation system, in order to at least solve the technical problem of low accuracy of the output data of the multi-input wind power simulation system.
[0005] The first aspect of this application proposes an interpolation estimation method for output data of a multi-input wind power simulation system, the method comprising:
[0006] Obtain the first data sequence of the multi-input wind power simulation system to be input, the preset data interval length, and the numerical positions in the first data sequence that are not at the minimum interval node;
[0007] The second data sequences input to the multi-input wind power simulation system are determined based on the preset data interval length and the position of the node value that is not at the minimum interval in the first data sequence.
[0008] Each second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system.
[0009] The output data sequence corresponding to the first data sequence is determined based on the output data sequence corresponding to each second data sequence and the preset data interval length.
[0010] Preferably, determining the second data sequences input to the multi-input wind power simulation system based on a preset data interval length and the positions of nodes in the first data sequence that are not at the minimum interval includes:
[0011] Based on the position of the value of the node that is not at the minimum interval in the first data sequence, determine the left adjacent interval data sequence, the right adjacent interval data sequence, and the spliced data sequence of the node that is not at the minimum interval in the first data sequence.
[0012] Each left adjacent interval data sequence and the spliced data form each left adjacent second data sequence, and each right adjacent interval data sequence and the spliced data form each right adjacent second data sequence;
[0013] The second data sequence includes: the left adjacent second data sequence and the right adjacent second data sequence.
[0014] Furthermore, the step of inputting each second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system includes:
[0015] Each left adjacent second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each left adjacent second data sequence output by the multi-input wind power simulation system;
[0016] Each right adjacent second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each right adjacent second data sequence output by the multi-input wind power simulation system.
[0017] Furthermore, the formula for calculating the i-th data value in the output data sequence corresponding to the first data sequence is as follows:
[0018]
[0019] In the formula, y i This represents the i-th data value in the output data sequence corresponding to the first data sequence. k is the i-th data value in the output data sequence corresponding to the first left adjacent second data sequence. i x is the adjustment factor for the i-th data value. m The value is the one that is not at the minimum interval node in the first data sequence. It is the value of the first left adjacent data in the first data sequence that is not in the minimum interval node.
[0020] Furthermore, the formula for calculating the adjustment coefficient of the i-th data value is as follows:
[0021]
[0022] In the formula, k i This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. Δm is the i-th data value in the output data sequence corresponding to the L-th left adjacent second data sequence, where L is the number of left adjacent second data sequences or right adjacent second data sequences, and Δm is the preset data interval length.
[0023] A second aspect of this application provides an interpolation estimation system for the output data of a multi-input wind power simulation system, the system comprising:
[0024] The acquisition module is used to acquire the first data sequence of the multi-input wind power simulation system to be input, the preset data interval length, and the numerical positions in the first data sequence that are not at the minimum interval node.
[0025] The first determining module is used to determine each second data sequence input to the multi-input wind power simulation system based on the preset data interval length and the position of the node value that is not at the minimum interval in the first data sequence.
[0026] The second determining module is used to input each second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system.
[0027] The third determining module is used to determine the output data sequence corresponding to the first data sequence based on the output data sequence corresponding to each second data sequence and the preset data interval length.
[0028] Furthermore, the first determining module includes:
[0029] The first determining unit is used to determine, based on the position of the value of the minimum interval node in the first data sequence, each left adjacent interval data sequence, each right adjacent interval data sequence and the spliced data sequence that are not at the minimum interval node value in the first data sequence;
[0030] The building unit is used to form each left adjacent interval data sequence with the spliced data to form each left adjacent second data sequence, and each right adjacent interval data sequence with the spliced data to form each right adjacent second data sequence.
[0031] The second data sequence includes: the left adjacent second data sequence and the right adjacent second data sequence.
[0032] Furthermore, the second determining module includes:
[0033] The second determining unit is used to input each left adjacent second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each left adjacent second data sequence output by the multi-input wind power simulation system.
[0034] The third determining unit is used to input each right adjacent second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each right adjacent second data sequence output by the multi-input wind power simulation system.
[0035] Furthermore, the formula for calculating the i-th data value in the output data sequence corresponding to the first data sequence is as follows:
[0036]
[0037] In the formula, y i This represents the i-th data value in the output data sequence corresponding to the first data sequence. k is the i-th data value in the output data sequence corresponding to the first left adjacent second data sequence. i x is the adjustment factor for the i-th data value. m The value is the one that is not at the minimum interval node in the first data sequence. It is the value of the first left adjacent data in the first data sequence that is not in the minimum interval node.
[0038] Furthermore, the formula for calculating the adjustment coefficient of the i-th data value is as follows:
[0039]
[0040] In the formula, k i This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. Δm is the i-th data value in the output data sequence corresponding to the L-th left adjacent second data sequence, where L is the number of left adjacent second data sequences or right adjacent second data sequences, and Δm is the preset data interval length.
[0041] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:
[0042] This application proposes an interpolation estimation method and system for output data of a multi-input wind power simulation system. The method involves obtaining a first data sequence to be input into the multi-input wind power simulation system, a preset data interval length, and the positions of values in the first data sequence that are not at the minimum interval node. Based on the preset data interval length and the positions of values in the first data sequence that are not at the minimum interval node, second data sequences are determined for input into the multi-input wind power simulation system. Each second data sequence is then input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system. Finally, the output data sequence corresponding to the first data sequence is determined based on the output data sequence corresponding to each second data sequence and the preset data interval length. The technical solution proposed in this application accurately estimates the numerical characteristics of the simulation system under the current input data, thereby enabling more accurate simulation of non-node data.
[0043] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description
[0044] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:
[0045] Figure 1 This is a flowchart illustrating an interpolation estimation method for output data of a multi-input wind power simulation system according to an embodiment of this application;
[0046] Figure 2 This is a structural diagram of an interpolation estimation system for output data of a multi-input wind power simulation system according to an embodiment of this application;
[0047] Figure 3 This is a structural diagram of a first determining module provided according to an embodiment of this application;
[0048] Figure 4 This is a structural diagram of a second determining module provided according to an embodiment of this application. Detailed Implementation
[0049] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.
[0050] This application proposes an interpolation estimation method and system for the output data of a multi-input wind power simulation system. The method involves obtaining a first data sequence to be input into the multi-input wind power simulation system, a preset data interval length, and the positions of values in the first data sequence that are not at the minimum interval node. Based on the preset data interval length and the positions of values in the first data sequence that are not at the minimum interval node, the method determines each second data sequence to be input into the multi-input wind power simulation system. Each second data sequence is then input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system. Finally, based on the output data sequence corresponding to each second data sequence and the preset data interval length, the method determines the output data sequence corresponding to the first data sequence. The technical solution proposed in this application accurately estimates the numerical characteristics of the simulation system under the current input data, thereby enabling more accurate simulation of non-node data.
[0051] The following describes, with reference to the accompanying drawings, an interpolation estimation method and system for the output data of a multi-input wind power simulation system according to embodiments of this application.
[0052] Example 1
[0053] Figure 1 This is a flowchart illustrating an interpolation estimation method for output data of a multi-input wind power simulation system according to an embodiment of this application, such as... Figure 1 As shown, the method includes:
[0054] Step 1: Obtain the first data sequence of the multi-input wind power simulation system to be input, the preset data interval length, and the numerical positions of nodes in the first data sequence that are not at the minimum interval.
[0055] For example, if the first data sequence input to the system during simulation is [1, 2, 3, 4, 5.5, 6, 7, 8], then 5.5 is the value in the first data sequence that is not at the minimum interval node, and the preset data interval length Δm is equal to 1.
[0056] Step 2: Determine each second data sequence to be input into the multi-input wind power simulation system based on the preset data interval length and the position of the node value that is not at the minimum interval in the first data sequence;
[0057] In this embodiment of the disclosure, step 2 specifically includes:
[0058] Step 2-1: Based on the position of the value of the node that is not at the minimum interval in the first data sequence, determine the left adjacent interval data sequence, the right adjacent interval data sequence, and the spliced data sequence of the nodes that are not at the minimum interval in the first data sequence.
[0059] For example, the preset input range is [0-1000]. If the first data sequence is [1, 2, 3, 4, 5.5, 6, 7, 8], m = 5, Δm = 1.
[0060] x1 = 1; x2 = 2; x3 = 3; x4 = 4; x5 = 5.5; x6 = 6; x7 = 7; x8 = 8, then x5 - =5; x5 + =6.
[0061] Its first left adjacent interval data sequence is 1, 2, 3, 4, 5, the concatenated data sequence is 6, 7, 8;
[0062] Its first right adjacent interval data sequence is 1, 2, 3, 4, 6, when combined, form the data sequence 6, 7, 8;
[0063] Its second left adjacent interval data sequence is 1, 2, 3, 4, 4, the concatenated data sequence is 6, 7, 8;
[0064] Its second right adjacent interval data sequence is 1, 2, 3, 4, 7, concatenated into the data sequence 6, 7, 8;
[0065] Its third left adjacent interval data sequence is 1, 2, 3, 4, 3, the concatenated data sequence is 6, 7, 8;
[0066] Its third right adjacent interval data sequence is 1, 2, 3, 4, 8, when combined, form the data sequence 6, 7, 8;
[0067] It should be noted that, by analogy, L left adjacent interval data sequences and L right adjacent interval data sequences are obtained, and within the preset input range, left adjacent replacement data and right adjacent replacement data that are not in the minimum interval node value are determined.
[0068] Step 2-2: Each left adjacent interval data sequence is combined with the spliced data to form each left adjacent second data sequence, and each right adjacent interval data sequence is combined with the spliced data to form each right adjacent second data sequence;
[0069] The second data sequence includes: the left adjacent second data sequence and the right adjacent second data sequence.
[0070] Step 3: Input each second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system;
[0071] In this embodiment of the disclosure, step 3 specifically includes:
[0072] Each left adjacent second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each left adjacent second data sequence output by the multi-input wind power simulation system;
[0073] Each right adjacent second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each right adjacent second data sequence output by the multi-input wind power simulation system.
[0074] Step 4: Determine the output data sequence corresponding to the first data sequence based on the output data sequence corresponding to each second data sequence and the preset data interval length.
[0075] Furthermore, the formula for calculating the i-th data value in the output data sequence corresponding to the first data sequence is as follows:
[0076]
[0077] In the formula, y i This represents the i-th data value in the output data sequence corresponding to the first data sequence. k is the i-th data value in the output data sequence corresponding to the first left adjacent second data sequence. i x is the adjustment factor for the i-th data value. m The value is the one that is not at the minimum interval node in the first data sequence. It is the value of the first left adjacent data in the first data sequence that is not in the minimum interval node.
[0078] The adjustment coefficient for the i-th data value is calculated using the following formula:
[0079]
[0080] In the formula, k i This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. Δm is the i-th data value in the output data sequence corresponding to the L-th left adjacent second data sequence, where L is the number of left adjacent second data sequences or right adjacent second data sequences, and Δm is the preset data interval length.
[0081] To more clearly illustrate the implementation process of the interpolation estimation method for output data of a multi-input wind power simulation system according to an embodiment of this application, a specific method embodiment will be described in detail below:
[0082] 1) A multi-input wind power simulation system has M inputs, x1-xM, and N outputs, y1-yN. It is assumed that the m-th input (xm) is not located at the minimum interval node, and its left and right adjacent intervals are xm and xm respectively. - and xm + The interval length is △m;
[0083] 2) Using x1-xm - Given xm+1-xM as input, the simulation system calculates and obtains N output values in the left adjacent interval, defined as y1. - -yN - ; with x1-xm + Given xm+1-xM as input, the simulation system calculates and obtains N output values in the right adjacent interval, defined as y1. + -yN + ;
[0084] 3) Let i = 1;
[0085] 4) Calculate y i :
[0086]
[0087] Where, k i The calculation method is as follows:
[0088]
[0089] In the formula, k i This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. Let be the i-th data value in the output data sequence corresponding to the L-th left adjacent second data sequence, where L is the number of left or right adjacent second data sequences, and Δm is the preset data interval length.
[0090] k i In the calculation formula, the ellipsis indicates that the number of terms added in the formula is indefinite, up to xm. ++... (... represents several +) reaching the upper limit of the allowed value of xm, or xm --... (... represents several -) reaching the lower limit of the values allowed by xm.
[0091] 5) Check if i is less than N. If yes, let i = i + 1 and return to 4); otherwise, proceed to 6).
[0092] 6) Calculation complete. Output the calculated value of y1-yN at this point as the final output.
[0093] In summary, the interpolation estimation method for output data of a multi-input wind power simulation system proposed in this embodiment estimates the numerical characteristics of the simulation system under the current input data more accurately by calculating data from multiple adjacent nodes across multiple dimensions. This enables a more accurate simulation of non-node data compared to traditional methods.
[0094] Example 2
[0095] Figure 2 This is a structural diagram of an interpolation estimation system for output data of a multi-input wind power simulation system according to an embodiment of this application, as shown below. Figure 2 As shown, the system includes:
[0096] The acquisition module 100 is used to acquire the first data sequence of the multi-input wind power simulation system to be input, the preset data interval length, and the numerical positions in the first data sequence that are not at the minimum interval node.
[0097] The first determining module 200 is used to determine each second data sequence input to the multi-input wind power simulation system based on the preset data interval length and the position of the node value that is not in the minimum interval node value in the first data sequence.
[0098] The second determining module 300 is used to input each second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system.
[0099] The third determining module 400 is used to determine the output data sequence corresponding to the first data sequence based on the output data sequence corresponding to each second data sequence and the preset data interval length.
[0100] In the embodiments disclosed herein, such as Figure 3 As shown, the first determining module 200 includes:
[0101] The first determining unit 201 is used to determine, based on the position of the value of the minimum interval node in the first data sequence, each left adjacent interval data sequence, each right adjacent interval data sequence and the spliced data sequence that are not in the minimum interval node value in the first data sequence;
[0102] Construction unit 202 is used to form each left adjacent interval data sequence with spliced data to form each left adjacent second data sequence, and each right adjacent interval data sequence with spliced data to form each right adjacent second data sequence;
[0103] The second data sequence includes: the left adjacent second data sequence and the right adjacent second data sequence.
[0104] Furthermore, such as Figure 4 As shown, the second determining module 300 includes:
[0105] The second determining unit 301 is used to input each left adjacent second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each left adjacent second data sequence output by the multi-input wind power simulation system.
[0106] The third determining unit 302 is used to input each right adjacent second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each right adjacent second data sequence output by the multi-input wind power simulation system.
[0107] Furthermore, the formula for calculating the i-th data value in the output data sequence corresponding to the first data sequence is as follows:
[0108]
[0109] In the formula, y i This represents the i-th data value in the output data sequence corresponding to the first data sequence. k is the i-th data value in the output data sequence corresponding to the first left adjacent second data sequence. i x is the adjustment factor for the i-th data value. m The value is the one that is not at the minimum interval node in the first data sequence. It is the value of the first left adjacent data in the first data sequence that is not in the minimum interval node.
[0110] The adjustment coefficient for the i-th data value is calculated using the following formula:
[0111]
[0112] In the formula, k i This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. Δm is the i-th data value in the output data sequence corresponding to the L-th left adjacent second data sequence, where L is the number of left adjacent second data sequences or right adjacent second data sequences, and Δm is the preset data interval length.
[0113] In summary, the interpolation estimation system for the output data of a multi-input wind power simulation system proposed in this embodiment estimates the numerical characteristics of the simulation system under the current input data more accurately by calculating data from multiple adjacent nodes across multiple dimensions. This enables a more accurate simulation of non-node data compared to traditional methods.
[0114] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0115] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.
[0116] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.
Claims
1. A method for interpolating and estimating output data of a multi-input wind power simulation system, characterized in that, The method includes: Obtain the first data sequence of the multi-input wind power simulation system to be input, the preset data interval length, and the numerical positions in the first data sequence that are not at the minimum interval node; The second data sequences input to the multi-input wind power simulation system are determined based on the preset data interval length and the position of the node value that is not at the minimum interval in the first data sequence. Each second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system. The output data sequence corresponding to the first data sequence is determined based on the output data sequence corresponding to each second data sequence and the preset data interval length; The step of determining each second data sequence input to the multi-input wind power simulation system based on a preset data interval length and the position of the node value that is not at the minimum interval in the first data sequence includes: Based on the position of the value of the node that is not at the minimum interval in the first data sequence, determine the left adjacent interval data sequence, the right adjacent interval data sequence, and the spliced data sequence of the node that is not at the minimum interval in the first data sequence. Each left adjacent interval data sequence and the spliced data form each left adjacent second data sequence, and each right adjacent interval data sequence and the spliced data form each right adjacent second data sequence; The second data sequence includes: a left adjacent second data sequence and a right adjacent second data sequence; The formula for calculating the i-th data value in the output data sequence corresponding to the first data sequence is as follows: In the formula, This represents the i-th data value in the output data sequence corresponding to the first data sequence. This refers to the i-th data value in the output data sequence corresponding to the first left adjacent second data sequence. This is the adjustment factor for the i-th data value. The value is the one that is not at the minimum interval node in the first data sequence. It is the value of the first left adjacent data in the first data sequence that is not in the minimum interval node; The adjustment coefficient for the i-th data value is calculated as follows: In the formula, This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the second data sequence to the left of the L-th data sequence. This represents the number of the left adjacent second data sequence or the right adjacent second data sequence. This is the preset data interval length.
2. The method as described in claim 1, characterized in that, The step of inputting each second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system includes: Each left adjacent second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each left adjacent second data sequence output by the multi-input wind power simulation system; Each right adjacent second data sequence is input into the multi-input wind power simulation system to obtain the output data sequence corresponding to each right adjacent second data sequence output by the multi-input wind power simulation system.
3. An interpolation estimation system for output data of a multi-input wind power simulation system, characterized in that, The system includes: The acquisition module is used to acquire the first data sequence of the multi-input wind power simulation system to be input, the preset data interval length, and the numerical positions in the first data sequence that are not at the minimum interval node. The first determining module is used to determine each second data sequence input to the multi-input wind power simulation system based on the preset data interval length and the position of the node value that is not at the minimum interval in the first data sequence. The second determining module is used to input each second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each second data sequence output by the multi-input wind power simulation system. The third determining module is used to determine the output data sequence corresponding to the first data sequence based on the output data sequence corresponding to each second data sequence and the preset data interval length. The first determining module includes: The first determining unit is used to determine, based on the position of the value of the minimum interval node in the first data sequence, each left adjacent interval data sequence, each right adjacent interval data sequence and the spliced data sequence that are not at the minimum interval node value in the first data sequence; The building unit is used to form each left adjacent interval data sequence with the spliced data to form each left adjacent second data sequence, and each right adjacent interval data sequence with the spliced data to form each right adjacent second data sequence. The second data sequence includes: a left adjacent second data sequence and a right adjacent second data sequence; The formula for calculating the i-th data value in the output data sequence corresponding to the first data sequence is as follows: In the formula, This represents the i-th data value in the output data sequence corresponding to the first data sequence. This represents the i-th data value in the output data sequence corresponding to the first left adjacent second data sequence. This is the adjustment factor for the i-th data value. The value is the one that is not at the minimum interval node in the first data sequence. It is the value of the first left adjacent data in the first data sequence that is not in the minimum interval node; The adjustment coefficient for the i-th data value is calculated as follows: In the formula, This is the adjustment factor for the i-th data value. The i-th data value in the output data sequence corresponding to the first right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second right adjacent second data sequence. This refers to the i-th data value in the output data sequence corresponding to the second left adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the L-th right adjacent second data sequence. This represents the i-th data value in the output data sequence corresponding to the second data sequence to the left of the L-th data sequence. This represents the number of the left adjacent second data sequence or the right adjacent second data sequence. This is the preset data interval length.
4. The system as described in claim 3, characterized in that, The second determining module includes: The second determining unit is used to input each left adjacent second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each left adjacent second data sequence output by the multi-input wind power simulation system. The third determining unit is used to input each right adjacent second data sequence into the multi-input wind power simulation system to obtain the output data sequence corresponding to each right adjacent second data sequence output by the multi-input wind power simulation system.