A wind farm design analysis method and system

Abstract

The invention relates to the technical field of wind farms, and discloses a wind farm design analysis method and system. The method comprises the following steps: obtaining wind power generation influencing parameters of a wind farm to be analyzed based on a collection time period, extracting the same type of wind power generation influencing parameters corresponding to each collection time period, and obtaining a plurality of wind power generation influencing parameter sequences; analyzing each wind power generation influencing parameter sequence, and calculating an influencing parameter variable wave value; extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating a comprehensive design analysis coefficient of the wind farm to be analyzed; judging whether the wind farm to be analyzed meets wind power generation performance requirements according to the comprehensive design analysis coefficient and a preset comprehensive design analysis coefficient, thereby improving the efficiency and accuracy of wind farm design scheme analysis, reducing the working time of technical personnel, promoting the orderly consumption of wind power, improving the peak load regulation capability of power grid and system stability, and providing strong support for the design and optimization of wind farms.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farms, and in particular to a wind farm design and analysis method and system. Background Art

[0002] With the continuous growth of global energy demand and the enhancement of environmental protection awareness, wind energy has attracted widespread attention as a clean and renewable energy form. However, with the continuous increase in wind power grid-connected capacity, the problem of wind power consumption has become increasingly prominent, especially in terms of grid peak regulation and system stable operation. Therefore, how to scientifically analyze the design performance of wind farms to promote the orderly consumption of wind power has become an urgent problem to be solved.

[0003] Traditional wind farm design performance analysis methods often rely on simple index calculations and logical operations, which are not only time-consuming and labor-intensive, but also difficult to fully reflect the actual operating conditions of wind farms. In addition, the existing methods have a low degree of mining and utilization of wind power multi-source data, and cannot provide effective decision support for wind power scheduling. Summary of the invention

[0004] The embodiments of the present invention provide a wind farm design analysis method and system, which improve the efficiency and accuracy of wind farm design scheme analysis, reduce the working time of technical personnel, promote the orderly consumption of wind power, and improve the peak load regulation capacity of the power grid and the system stability.

[0005] In order to achieve the above object, the present invention provides a wind farm design analysis method, comprising:

[0006] Acquire wind power generation influencing parameters of the wind farm to be analyzed based on a preset collection time period, extract the same type of wind power generation influencing parameters corresponding to each collection time period, and obtain multiple wind power generation influencing parameter sequences according to the extraction results;

[0007] Analyze each wind power generation influencing parameter sequence, and calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result;

[0008] Extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set;

[0009] Whether the wind farm to be analyzed meets the wind power generation performance requirement is judged according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient.

[0010] Furthermore, when analyzing each wind power generation influencing parameter sequence and calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result, it includes:

[0011] Calculating the sequence mean corresponding to the wind power generation influencing parameter sequence;

[0012] Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are less than the sequence mean into a first influencing parameter sequence;

[0013] Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are equal to the sequence mean into a second influencing parameter sequence;

[0014] Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are greater than the sequence mean into a third influencing parameter sequence;

[0015] The influencing parameter variable wave value of the wind power generation influencing parameter sequence is calculated according to the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence.

[0016] Further, when calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence, it includes:

[0017] Calculating a first influencing parameter mean and a first influencing parameter standard deviation corresponding to the first influencing parameter sequence;

[0018] Setting a first identification division range of the first influencing parameter sequence according to the first influencing parameter mean and the first influencing parameter standard deviation;

[0019] Calculate a second influencing parameter mean and a second influencing parameter standard deviation corresponding to the second influencing parameter sequence;

[0020] Setting a second identification division range of the second influencing parameter sequence according to the second influencing parameter mean and the second influencing parameter standard deviation;

[0021] Calculating a third influencing parameter mean and a third influencing parameter standard deviation corresponding to the third influencing parameter sequence;

[0022] Setting a third identifier division range of the third influencing parameter sequence according to the third influencing parameter mean and the third influencing parameter standard deviation;

[0023] Extracting wind power generation influencing parameters in the first influencing parameter sequence that are within the first identification division range, and counting the number of corresponding first parameters;

[0024] Extracting wind power generation influencing parameters in the second influencing parameter sequence that are within the second identification division range, and counting the number of corresponding second parameters;

[0025] Extracting wind power generation influencing parameters in the third influencing parameter sequence that are within the third identifier division range, and counting the number of corresponding third parameters;

[0026] Calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity;

[0027] The first identification division range of the first influencing parameter sequence is set according to the following formula:

[0028] a(a1, a2)=(e1×d1)±(e2×d2);

[0029] Among them, a(a1, a2) is the first identification division range, e1 is the first influencing parameter mean, e2 is the first influencing parameter standard deviation, d1 is the weight corresponding to the first influencing parameter mean, and d2 is the weight corresponding to the first influencing parameter mean.

[0030] Further, when calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity, it includes:

[0031] configuring a first calculation coefficient for the first influencing parameter sequence, configuring a second calculation coefficient for the second influencing parameter sequence, and configuring a third calculation coefficient for the third influencing parameter sequence;

[0032] The influencing parameter variable wave value of the wind power generation influencing parameter sequence is calculated according to the following formula:

[0033] c=h1×g1+h2×g2+h3×g3;

[0034] Among them, c is the variable wave value of the influencing parameter sequence of wind power generation influencing parameter, h1 is the first calculation coefficient, h2 is the second calculation coefficient, h3 is the third calculation coefficient, g1 is the first parameter quantity, g2 is the second parameter quantity, g3 is the third parameter quantity, and h1>0, h2>0, h3>0.

[0035] Further, when extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set, it includes:

[0036] Counting the number of first wave value sets that affect the parameter wave value sets;

[0037] Extracting an influencing parameter variable wave value from all influencing parameter variable wave value sets respectively, and calculating a first variable wave value and a value;

[0038] Obtaining a preset influencing parameter wave changing value, eliminating all influencing parameter wave changing value sets that are less than the preset influencing parameter wave changing value, and counting the number of second wave changing value sets of the remaining influencing parameter wave changing value sets;

[0039] Extracting an influencing parameter variable wave value from the remaining influencing parameter variable wave value sets respectively, and calculating a second variable wave value and value;

[0040] The initial comprehensive design analysis coefficient of the wind farm to be analyzed is calculated according to the number of the first variable wave value sets, the number of the second variable wave value sets, the first variable wave value sum value and the second variable wave value sum value.

[0041] Further, after calculating the initial comprehensive design analysis coefficient of the wind farm to be analyzed according to the number of the first variable wave value sets, the number of the second variable wave value sets, the first variable wave value sum and the second variable wave value sum, the method further includes:

[0042] Perform curve fitting on all the variable wave values ​​of the influencing parameters to obtain the fitting curve of the variable wave values ​​of the influencing parameters;

[0043] Analyze the influencing parameter variable wave value fitting curve to determine the rising curve segment, the falling curve segment and the straight curve segment of the influencing parameter variable wave value fitting curve;

[0044] Counting the number of rises in the rising curve segment, counting the number of declines in the descending segment, and counting the number of straight lines in the straight curve segment;

[0045] The adjustment value of the wind farm to be analyzed is set according to the rising number, the falling number and the straight line number, and the initial comprehensive design analysis coefficient is adjusted based on the adjustment value to obtain the comprehensive design analysis coefficient of the wind farm to be analyzed, wherein the comprehensive design analysis coefficient is the product value of the adjustment value and the initial comprehensive design analysis coefficient.

[0046] Further, when setting the adjustment value of the wind farm to be analyzed according to the rising number, the falling number and the straight line number, it includes:

[0047] Calculating the number and value of the rising number and the falling number;

[0048] Presetting a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value;

[0049] When the number of straight lines is less than the number and value, the first preset adjustment value is selected as the adjustment value of the wind farm to be analyzed;

[0050] When the number of straight lines is equal to the number and value, the second preset adjustment value is selected as the adjustment value of the wind farm to be analyzed;

[0051] When the number of straight lines is greater than the number and value, the third preset adjustment value is selected as the adjustment value of the wind farm to be analyzed.

[0052] Further, when judging whether the wind farm to be analyzed meets the wind power generation performance requirement according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient, it includes:

[0053] When the comprehensive design analysis coefficient is less than the preset comprehensive design analysis coefficient, it is judged that the wind farm to be analyzed does not meet the wind power generation performance requirement;

[0054] When the comprehensive design analysis coefficient is greater than or equal to the preset comprehensive design analysis coefficient, it is determined that the wind farm to be analyzed meets the wind power generation performance requirement.

[0055] In order to achieve the above object, the present invention further provides a wind farm design and analysis system, comprising:

[0056] The first module is used to obtain the wind power generation influencing parameters of the wind farm to be analyzed based on a preset collection time period, extract the same type of wind power generation influencing parameters corresponding to each collection time period, and obtain multiple wind power generation influencing parameter sequences according to the extraction results;

[0057] The second module is used to analyze each wind power generation influencing parameter sequence and calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result;

[0058] The third module is used to extract the same influencing parameter variable wave value from all influencing parameter variable wave values, construct an influencing parameter variable wave value set, and calculate the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set;

[0059] The fourth module is used to determine whether the wind farm to be analyzed meets the wind power generation performance requirements according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient.

[0060] Compared with the prior art, the present invention has the following beneficial effects:

[0061] The present invention discloses a wind farm design analysis method and system. The method comprises the following steps: obtaining wind power generation influencing parameters of a wind farm to be analyzed based on a collection time period, extracting the same type of wind power generation influencing parameters corresponding to each collection time period, and obtaining a plurality of wind power generation influencing parameter sequences; analyzing each wind power generation influencing parameter sequence, and calculating the influencing parameter variable wave value; extracting the same influencing parameter variable wave value from all the influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed; judging whether the wind farm to be analyzed meets the wind power generation performance requirement according to the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient, thereby improving the efficiency and accuracy of the wind farm design scheme analysis, reducing the working time of technical personnel, promoting the orderly consumption of wind power, improving the peak load regulation capability of the power grid and the system stability, and providing strong support for the design and optimization of wind farms. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0063] Figure 1 A schematic diagram of the flow of a wind farm design and analysis method in an embodiment of the present invention is shown;

[0064] Figure 2 The structure diagram of the wind farm design and analysis system in the embodiment of the present invention is shown. DETAILED DESCRIPTION

[0065] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0066] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0067] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0068] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0069] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0070] like Figure 1 As shown, an embodiment of the present invention discloses a wind farm design analysis method, comprising:

[0071] S110: acquiring wind power generation influencing parameters of the wind farm to be analyzed based on a preset collection time period, extracting the same type of wind power generation influencing parameters corresponding to each collection time period, and obtaining multiple wind power generation influencing parameter sequences according to the extraction results;

[0072] In this embodiment, the collection time period is set at intervals of one hour. For example, if the current time is 12.30, the wind power generation influencing parameters corresponding to 12.30 are collected, and then the wind power generation influencing parameters corresponding to 13.30 are collected. The above is shown by example.

[0073] In this embodiment, the wind power generation influencing parameters include wind speed, power, temperature, humidity, etc.

[0074] S120: Analyze each wind power generation influencing parameter sequence, and calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result;

[0075] In some embodiments of the present application, when analyzing each wind power generation influencing parameter sequence and calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result, it includes:

[0076] Calculating the sequence mean corresponding to the wind power generation influencing parameter sequence;

[0077] Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are less than the sequence mean into a first influencing parameter sequence;

[0078] Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are equal to the sequence mean into a second influencing parameter sequence;

[0079] Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are greater than the sequence mean into a third influencing parameter sequence;

[0080] The influencing parameter variable wave value of the wind power generation influencing parameter sequence is calculated according to the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence.

[0081] In this embodiment, by setting the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence, a foundation can be laid for calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence, and a calculation premise can be provided.

[0082] In some embodiments of the present application, when calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence, it includes:

[0083] Calculating a first influencing parameter mean and a first influencing parameter standard deviation corresponding to the first influencing parameter sequence;

[0084] Setting a first identification division range of the first influencing parameter sequence according to the first influencing parameter mean and the first influencing parameter standard deviation;

[0085] Calculate a second influencing parameter mean and a second influencing parameter standard deviation corresponding to the second influencing parameter sequence;

[0086] Setting a second identification division range of the second influencing parameter sequence according to the second influencing parameter mean and the second influencing parameter standard deviation;

[0087] Calculating a third influencing parameter mean and a third influencing parameter standard deviation corresponding to the third influencing parameter sequence;

[0088] Setting a third identifier division range of the third influencing parameter sequence according to the third influencing parameter mean and the third influencing parameter standard deviation;

[0089] Extracting wind power generation influencing parameters in the first influencing parameter sequence that are within the first identification division range, and counting the number of corresponding first parameters;

[0090] Extracting wind power generation influencing parameters in the second influencing parameter sequence that are within the second identification division range, and counting the number of corresponding second parameters;

[0091] Extracting wind power generation influencing parameters in the third influencing parameter sequence that are within the third identifier division range, and counting the number of corresponding third parameters;

[0092] Calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity;

[0093] The first identification division range of the first influencing parameter sequence is set according to the following formula:

[0094] a(a1, a2)=(e1×d1)±(e2×d2);

[0095] Among them, a(a1, a2) is the first identification division range, e1 is the first influencing parameter mean, e2 is the first influencing parameter standard deviation, d1 is the weight corresponding to the first influencing parameter mean, and d2 is the weight corresponding to the first influencing parameter mean.

[0096] In this embodiment, a1 is smaller than a2.

[0097] The beneficial effect of the above technical solution is: the present invention calculates the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity, thereby ensuring the calculation accuracy of the influencing parameter variable wave value and providing reliable data support for the calculation of the comprehensive design analysis coefficient.

[0098] In some embodiments of the present application, when calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity, it includes:

[0099] configuring a first calculation coefficient for the first influencing parameter sequence, configuring a second calculation coefficient for the second influencing parameter sequence, and configuring a third calculation coefficient for the third influencing parameter sequence;

[0100] The influencing parameter variable wave value of the wind power generation influencing parameter sequence is calculated according to the following formula:

[0101] c=h1×g1+h2×g2+h3×g3;

[0102] Among them, c is the variable wave value of the influencing parameter sequence of wind power generation influencing parameter, h1 is the first calculation coefficient, h2 is the second calculation coefficient, h3 is the third calculation coefficient, g1 is the first parameter quantity, g2 is the second parameter quantity, g3 is the third parameter quantity, and h1>0, h2>0, h3>0.

[0103] In this embodiment, the first calculation coefficient is preferably 0.5, the second calculation coefficient is preferably 0.3, and the third calculation coefficient is preferably 0.2, which can be adjusted according to actual conditions.

[0104] S130: extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set;

[0105] In some embodiments of the present application, when extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set, it includes:

[0106] Counting the number of first wave value sets that affect the parameter wave value sets;

[0107] Extracting an influencing parameter variable wave value from all influencing parameter variable wave value sets respectively, and calculating a first variable wave value and a value;

[0108] Obtaining a preset influencing parameter wave changing value, eliminating all influencing parameter wave changing value sets that are less than the preset influencing parameter wave changing value, and counting the number of second wave changing value sets of the remaining influencing parameter wave changing value sets;

[0109] Extracting an influencing parameter variable wave value from the remaining influencing parameter variable wave value sets respectively, and calculating a second variable wave value and value;

[0110] The initial comprehensive design analysis coefficient of the wind farm to be analyzed is calculated according to the number of the first variable wave value sets, the number of the second variable wave value sets, the first variable wave value sum value and the second variable wave value sum value.

[0111] In this embodiment, the initial comprehensive design analysis coefficient of the wind farm to be analyzed is calculated according to the following formula:

[0112] t1 t3

[0113] s = t2 + t4;

[0114] Wherein, s is the initial comprehensive design analysis coefficient of the wind farm to be analyzed, t1 is the number of the first variable wave value set, t2 is the number of the second variable wave value set, t3 is the first variable wave value sum value, and t4 is the second variable wave value sum value.

[0115] The beneficial effect of the above technical solution is: the present invention calculates the initial comprehensive design analysis coefficient of the wind farm to be analyzed according to the number of first variable wave value sets, the number of second variable wave value sets, the sum of first variable wave values ​​and the sum of second variable wave values, which can avoid the calculation errors existing in manual calculation and ensure the accuracy and efficiency of wind farm design analysis.

[0116] In some embodiments of the present application, after calculating the initial comprehensive design analysis coefficient of the wind farm to be analyzed according to the first variable wave value set number, the second variable wave value set number, the first variable wave value sum value and the second variable wave value sum value, it also includes:

[0117] Perform curve fitting on all the variable wave values ​​of the influencing parameters to obtain the fitting curve of the variable wave values ​​of the influencing parameters;

[0118] Analyze the influencing parameter variable wave value fitting curve to determine the rising curve segment, the falling curve segment and the straight curve segment of the influencing parameter variable wave value fitting curve;

[0119] Counting the number of rises in the rising curve segment, counting the number of declines in the descending segment, and counting the number of straight lines in the straight curve segment;

[0120] The adjustment value of the wind farm to be analyzed is set according to the rising number, the falling number and the straight line number, and the initial comprehensive design analysis coefficient is adjusted based on the adjustment value to obtain the comprehensive design analysis coefficient of the wind farm to be analyzed, wherein the comprehensive design analysis coefficient is the product value of the adjustment value and the initial comprehensive design analysis coefficient.

[0121] In this embodiment, the rising curve segment is determined: on the fitting curve, the changing trend of the curve from left to right is observed. When the curve shows a continuous rising trend, that is, the slope is positive and gradually increases (or remains unchanged), this segment is the rising curve segment. The rising curve segment may indicate that the influencing parameter gradually increases or increases in a certain time period. Determine the descending curve segment: Similarly, when the fitting curve shows a continuous descending trend, that is, the slope is negative and the absolute value gradually increases (or remains unchanged), this segment is the descending curve segment. The descending curve segment may indicate that the influencing parameter gradually decreases or weakens in a certain time period. Determine the straight line curve segment: If the fitting curve shows a trend close to a straight line in a certain section, that is, the slope remains basically unchanged, then this section can be regarded as a straight line curve segment. The straight line curve segment may indicate that the influencing parameter remains relatively stable in this time period.

[0122] In some embodiments of the present application, when setting the adjustment value of the wind farm to be analyzed according to the rising number, the falling number and the straight line number, it includes:

[0123] Calculating the number and value of the rising number and the falling number;

[0124] Presetting a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value;

[0125] When the number of straight lines is less than the number and value, the first preset adjustment value is selected as the adjustment value of the wind farm to be analyzed;

[0126] When the number of straight lines is equal to the number and value, the second preset adjustment value is selected as the adjustment value of the wind farm to be analyzed;

[0127] When the number of straight lines is greater than the number and value, the third preset adjustment value is selected as the adjustment value of the wind farm to be analyzed.

[0128] In this embodiment, the first preset adjustment value is preferably 0.85, the second preset adjustment value is preferably 1.15, and the third preset adjustment value is preferably 1.25, which can be adjusted according to actual conditions.

[0129] The beneficial effect of the above technical solution is that the present invention selects the corresponding preset adjustment value according to the relationship between the quantity and value and the number of straight lines, thereby realizing dynamic adjustment of the initial comprehensive design analysis coefficient, and further ensuring the analysis accuracy.

[0130] S140: judging whether the wind farm to be analyzed meets the wind power generation performance requirement according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient.

[0131] In some embodiments of the present application, when judging whether the wind farm to be analyzed meets the wind power generation performance requirement according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient, it includes:

[0132] When the comprehensive design analysis coefficient is less than the preset comprehensive design analysis coefficient, it is judged that the wind farm to be analyzed does not meet the wind power generation performance requirement;

[0133] When the comprehensive design analysis coefficient is greater than or equal to the preset comprehensive design analysis coefficient, it is determined that the wind farm to be analyzed meets the wind power generation performance requirement.

[0134] In this embodiment, the preset comprehensive design analysis coefficient is preferably 8, and can be set specifically according to actual needs.

[0135] The beneficial effects of the above technical solution are: the present invention improves the efficiency and accuracy of wind farm design solution analysis, reduces the working time of technical personnel, promotes the orderly consumption of wind power, improves the peak-shaving capacity of the power grid and the system stability, and provides strong support for the design and optimization of wind farms.

[0136] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0137] Correspondingly, such as Figure 2 As shown, the present application also provides a wind farm design and analysis system, including:

[0138] The first module is used to obtain the wind power generation influencing parameters of the wind farm to be analyzed based on a preset collection time period, extract the same type of wind power generation influencing parameters corresponding to each collection time period, and obtain multiple wind power generation influencing parameter sequences according to the extraction results;

[0139] The second module is used to analyze each wind power generation influencing parameter sequence and calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result;

[0140] The third module is used to extract the same influencing parameter variable wave value from all influencing parameter variable wave values, construct an influencing parameter variable wave value set, and calculate the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set;

[0141] The fourth module is used to determine whether the wind farm to be analyzed meets the wind power generation performance requirements according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient.

[0142] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0143] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0144] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A wind farm design analysis method, characterized in that: include: Acquire wind power generation influencing parameters of the wind farm to be analyzed based on a preset collection time period, extract the same type of wind power generation influencing parameters corresponding to each collection time period, and obtain multiple wind power generation influencing parameter sequences according to the extraction results; Analyze each wind power generation influencing parameter sequence, and calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result; Extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set; Whether the wind farm to be analyzed meets the wind power generation performance requirement is judged according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient.

2. The wind farm design and analysis method according to claim 1, characterized in that: When analyzing each wind power generation influencing parameter sequence and calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result, it includes: Calculating the sequence mean corresponding to the wind power generation influencing parameter sequence; Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are less than the sequence mean into a first influencing parameter sequence; Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are equal to the sequence mean into a second influencing parameter sequence; Classifying all wind power generation influencing parameters in the wind power generation influencing parameter sequence that are greater than the sequence mean into a third influencing parameter sequence; The influencing parameter variable wave value of the wind power generation influencing parameter sequence is calculated according to the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence.

3. The wind farm design and analysis method according to claim 2, characterized in that: When calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first influencing parameter sequence, the second influencing parameter sequence and the third influencing parameter sequence, it includes: Calculating a first influencing parameter mean and a first influencing parameter standard deviation corresponding to the first influencing parameter sequence; Setting a first identification division range of the first influencing parameter sequence according to the first influencing parameter mean and the first influencing parameter standard deviation; Calculate a second influencing parameter mean and a second influencing parameter standard deviation corresponding to the second influencing parameter sequence; Setting a second identification division range of the second influencing parameter sequence according to the second influencing parameter mean and the second influencing parameter standard deviation; Calculating a third influencing parameter mean and a third influencing parameter standard deviation corresponding to the third influencing parameter sequence; Setting a third identifier division range of the third influencing parameter sequence according to the third influencing parameter mean and the third influencing parameter standard deviation; Extracting wind power generation influencing parameters in the first influencing parameter sequence that are within the first identification division range, and counting the number of corresponding first parameters; Extracting wind power generation influencing parameters in the second influencing parameter sequence that are within the second identification division range, and counting the number of corresponding second parameters; Extracting wind power generation influencing parameters in the third influencing parameter sequence that are within the third identifier division range, and counting the number of corresponding third parameters; Calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity; The first identification division range of the first influencing parameter sequence is set according to the following formula: a(a1, a2)=(e1×d1)±(e2×d2); Among them, a(a1, a2) is the first identification division range, e1 is the first influencing parameter mean, e2 is the first influencing parameter standard deviation, d1 is the weight corresponding to the first influencing parameter mean, and d2 is the weight corresponding to the first influencing parameter mean.

4. The wind farm design and analysis method according to claim 3, characterized in that: When calculating the influencing parameter variable wave value of the wind power generation influencing parameter sequence according to the first parameter quantity, the second parameter quantity and the third parameter quantity, it includes: configuring a first calculation coefficient for the first influencing parameter sequence, configuring a second calculation coefficient for the second influencing parameter sequence, and configuring a third calculation coefficient for the third influencing parameter sequence; The influencing parameter variable wave value of the wind power generation influencing parameter sequence is calculated according to the following formula: c=h1×g1+h2×g2+h3×g3; Among them, c is the variable wave value of the influencing parameter sequence of wind power generation influencing parameter, h1 is the first calculation coefficient, h2 is the second calculation coefficient, h3 is the third calculation coefficient, g1 is the first parameter quantity, g2 is the second parameter quantity, g3 is the third parameter quantity, and h1>0, h2>0, h3>0.

5. The wind farm design and analysis method according to claim 1, characterized in that: When extracting the same influencing parameter variable wave value from all influencing parameter variable wave values, constructing an influencing parameter variable wave value set, and calculating the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set, it includes: Counting the number of first wave value sets that affect the parameter wave value sets; Extracting an influencing parameter variable wave value from all influencing parameter variable wave value sets respectively, and calculating a first variable wave value and a value; Obtaining a preset influencing parameter wave changing value, eliminating all influencing parameter wave changing value sets that are less than the preset influencing parameter wave changing value, and counting the number of second wave changing value sets of the remaining influencing parameter wave changing value sets; Extracting an influencing parameter variable wave value from the remaining influencing parameter variable wave value sets respectively, and calculating a second variable wave value and value; The initial comprehensive design analysis coefficient of the wind farm to be analyzed is calculated according to the number of the first variable wave value sets, the number of the second variable wave value sets, the first variable wave value sum value and the second variable wave value sum value.

6. The wind farm design and analysis method according to claim 5, characterized in that: After calculating the initial comprehensive design analysis coefficient of the wind farm to be analyzed according to the number of the first variable wave value sets, the number of the second variable wave value sets, the first variable wave value sum and the second variable wave value sum, the method further includes: Perform curve fitting on all the variable wave values ​​of the influencing parameters to obtain the fitting curve of the variable wave values ​​of the influencing parameters; Analyze the influencing parameter variable wave value fitting curve to determine the rising curve segment, the falling curve segment and the straight curve segment of the influencing parameter variable wave value fitting curve; Counting the number of rises in the rising curve segment, counting the number of declines in the descending segment, and counting the number of straight lines in the straight curve segment; The adjustment value of the wind farm to be analyzed is set according to the rising number, the falling number and the straight line number, and the initial comprehensive design analysis coefficient is adjusted based on the adjustment value to obtain the comprehensive design analysis coefficient of the wind farm to be analyzed, wherein the comprehensive design analysis coefficient is the product value of the adjustment value and the initial comprehensive design analysis coefficient.

7. The wind farm design and analysis method according to claim 6, characterized in that: When setting the adjustment value of the wind farm to be analyzed according to the rising number, the falling number and the straight line number, it includes: Calculating the number and value of the rising number and the falling number; Presetting a first preset adjustment value, a second preset adjustment value, and a third preset adjustment value; When the number of straight lines is less than the number and value, the first preset adjustment value is selected as the adjustment value of the wind farm to be analyzed; When the number of straight lines is equal to the number and value, the second preset adjustment value is selected as the adjustment value of the wind farm to be analyzed; When the number of straight lines is greater than the number and value, the third preset adjustment value is selected as the adjustment value of the wind farm to be analyzed.

8. The wind farm design and analysis method according to claim 1, characterized in that: When judging whether the wind farm to be analyzed meets the wind power generation performance requirement according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient, it includes: When the comprehensive design analysis coefficient is less than the preset comprehensive design analysis coefficient, it is judged that the wind farm to be analyzed does not meet the wind power generation performance requirement; When the comprehensive design analysis coefficient is greater than or equal to the preset comprehensive design analysis coefficient, it is determined that the wind farm to be analyzed meets the wind power generation performance requirement.

9. A wind farm design and analysis system, characterized in that: include: The first module is used to obtain the wind power generation influencing parameters of the wind farm to be analyzed based on a preset collection time period, extract the same type of wind power generation influencing parameters corresponding to each collection time period, and obtain multiple wind power generation influencing parameter sequences according to the extraction results; The second module is used to analyze each wind power generation influencing parameter sequence and calculate the influencing parameter variable wave value of the wind power generation influencing parameter sequence based on the analysis result; The third module is used to extract the same influencing parameter variable wave value from all influencing parameter variable wave values, construct an influencing parameter variable wave value set, and calculate the comprehensive design analysis coefficient of the wind farm to be analyzed according to the influencing parameter variable wave value set; The fourth module is used to determine whether the wind farm to be analyzed meets the wind power generation performance requirements according to the relationship between the comprehensive design analysis coefficient and the preset comprehensive design analysis coefficient.

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