Method and system for dividing digital simulation model of wind turbine generator

Abstract

The present application proposes a method and system for dividing a digital simulation model of a wind turbine generator set, the method comprising: step F1: obtaining a set of wind turbine generator sets of different types; step F2: forming a first detailed model wind turbine generator set; step F3: forming a second detailed model wind turbine generator set, and determining the comprehensive electrical impact factor corresponding to the generator set, and then determining the second detailed model wind turbine generator set to be divided into a detailed model wind turbine generator set or an equivalent model wind turbine generator set based on the impact factor; step F4: judging whether j is greater than or equal to the total number of wind turbine generator sets in the first detailed model wind turbine generator set, if so, entering step F5, otherwise setting j=j+1 and returning to step F3; step F5: judging whether i is greater than or equal to the total number of wind turbine generator sets in the detailed model wind turbine generator set obtained in step F3, if so, outputting the current division result, otherwise setting i=i+1 and returning to step F2. The technical solution proposed in the present application clarifies the set to which the generator set belongs, and effectively improves the simulation accuracy of the generator set.

Description

Technical Field

[0001] The present application relates to the field of wind turbine simulation, and in particular to a method and system for dividing a digital simulation model of a wind turbine. Background Art

[0002] When conducting digital simulation of wind turbines, two types of models can be used, namely detailed models and equivalent models. Among them, the detailed model strives to simulate the detailed status of all components in the wind turbine, while the equivalent model mainly simulates the external characteristics of the wind turbine, striving to reduce the use of computing resources. The equivalent model is also called a rough model. Since the actual wind farm contains dozens or even hundreds of wind turbines, considering the lack of computing resources, it is impossible to use detailed models for modeling in the digital simulation process. A certain proportion of equivalent models must be used.

[0003] The existing technical solutions only use the unit of interest as the standard to determine the scope of use of detailed units and equivalent models. Although the detailed characteristics of the unit of interest can be simulated, the influence of the adjacent units on the electrical characteristics of the unit of interest cannot be simulated, resulting in deviations in the simulation of the external output characteristics of the overall unit of interest. In addition, within the scope of the wind farm, only the detailed simulation of sporadic units is performed, and the overall output characteristics of the unit cluster formed near the unit of interest cannot be accurately simulated. Summary of the invention

[0004] The present application provides a method and system for dividing digital simulation models of wind turbines, so as to at least solve the technical problem in the prior art of low simulation accuracy of wind turbines caused by determining the scope of use of detailed units and equivalent models based only on the unit of interest.

[0005] The first embodiment of the present application provides a method for dividing a digital simulation model of a wind turbine generator set, the method comprising:

[0006] Step F1: obtaining a set of initial detailed model wind turbines simulated by using a detailed model and an initial equivalent model wind turbine set simulated by using an equivalent model in a wind farm to be simulated, and setting i=1, wherein i is the serial number of the i-th wind turbine in the set of initial detailed model wind turbines;

[0007] Step F2: Selecting a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group in the detailed model wind turbine group set from the equivalent model wind turbine group set after the i-1-th model division to form a first detailed model wind turbine group set corresponding to the i-th wind turbine group, wherein when i=1, selecting a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group from the initial equivalent model wind turbine group set;

[0008] Step F3: selecting a wind turbine set that has a direct electrical connection relationship with the j-th wind turbine set in the first detailed model wind turbine set from the initial equivalent model wind turbine set selected in step F2 to form a second detailed model wind turbine set, and determining a comprehensive electrical impact factor corresponding to the j-th wind turbine set, and then determining whether the second detailed model wind turbine set is divided into a detailed model wind turbine set or an equivalent model wind turbine set based on the comprehensive electrical impact factor;

[0009] Step F4: determine whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, proceed to step F5, otherwise set j=j+1 and return to step F3;

[0010] Step F5: Determine whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3. If so, output the current division result; otherwise, set i=i+1 and return to step F2.

[0011] Preferably, the determining of the comprehensive electrical impact factor corresponding to the j-th wind turbine generator set includes:

[0012] Obtaining the electrical distance between each wind turbine in the second detailed model wind turbine set and the j-th wind turbine set, the average daily output power of each wind turbine in the set, and the average daily output power of the j-th wind turbine set;

[0013] Determine the sum of electrical distances between each wind turbine in the set and the j-th wind turbine;

[0014] Determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group according to the sum of the electrical distances, the electrical distances between each wind turbine group in the set and the j-th wind turbine group, the average daily output power of each wind turbine group in the set, and the average daily output power of the j-th wind turbine group;

[0015] Wherein, j∈[1~J], J is the total number of wind turbines in the first detailed model wind turbine set.

[0016] Furthermore, the calculation formula of the comprehensive electrical impact factor corresponding to the j-th wind turbine group is as follows:

[0017]

[0018] Wherein, Sij is the comprehensive electrical impact factor corresponding to the j-th wind turbine set, kij is the total number of wind turbines in the second detailed model wind turbine set, Pavg(l) is the average daily output power of the l-th wind turbine set in the second detailed model wind turbine set, Pavg(Mij) is the average daily output power of the j-th wind turbine set in the first detailed model wind turbine set, and sumx(Mij) is the sum of the electrical distances between each wind turbine in the second detailed model wind turbine set corresponding to the j-th wind turbine set in the first detailed model wind turbine set and the j-th wind turbine set.

[0019] Furthermore, the determining, based on the comprehensive electrical impact factor, that the second detailed model wind turbine set is divided into a detailed model wind turbine set set or an equivalent model wind turbine set set includes:

[0020] Determine whether the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than a first threshold value, if the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than the first threshold value, divide the wind turbine groups in the second detailed model wind turbine group set from the equivalent model wind turbine group set to the detailed model wind turbine group set, otherwise, do not divide;

[0021] The first threshold is the product of the total number of wind turbines in the second detailed model wind turbine set and 0.1.

[0022] The second embodiment of the present application provides a system for dividing a digital simulation model of a wind turbine generator set, the system comprising:

[0023] An acquisition module is used to acquire a set of initial detailed model wind turbines simulated by using a detailed model and a set of initial equivalent model wind turbines simulated by using an equivalent model in a wind farm to be simulated, wherein i=1, wherein i is the serial number of the i-th wind turbine in the set of initial detailed model wind turbines;

[0024] A selection module is used to select a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group in the detailed model wind turbine group set from the equivalent model wind turbine group set after the i-1th model division, to form a first detailed model wind turbine group set corresponding to the i-th wind turbine group, wherein when i=1, a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group is selected from the initial equivalent model wind turbine group set;

[0025] A division module, used for selecting a wind turbine group that has a direct electrical connection relationship with the j-th wind turbine group in the first detailed model wind turbine group set from the initial equivalent model wind turbine group set selected by the selection module to form a second detailed model wind turbine group set, and determining a comprehensive electrical impact factor corresponding to the j-th wind turbine group, and then determining whether the second detailed model wind turbine group set is divided into a detailed model wind turbine group set or an equivalent model wind turbine group set based on the comprehensive electrical impact factor;

[0026] A first judgment module is used to judge whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, enter the second judgment module, otherwise set j=j+1 and return to the division module;

[0027] The second judgment module is used to judge whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3. If so, output the current division result; otherwise, set i=i+1 and return to the step selection module.

[0028] Preferably, the division module includes: a determination unit and a division unit;

[0029] The determining unit is used to determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group;

[0030] Wherein, the determining unit includes:

[0031] An acquisition submodule, used to acquire the electrical distance between each wind turbine in the second detailed model wind turbine set and the j-th wind turbine set, the average daily output power of each wind turbine in the set, and the average daily output power of the j-th wind turbine set;

[0032] A first determination submodule, used to determine the sum of electrical distances between each wind turbine in the set and the j-th wind turbine;

[0033] A second determination submodule is used to determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group according to the sum of the electrical distances, the electrical distances between each wind turbine group in the set and the j-th wind turbine group, the average daily output power of each wind turbine group in the set, and the average daily output power of the j-th wind turbine group;

[0034] j∈[1~J], J is the total number of wind turbines in the first detailed model wind turbine set.

[0035] Furthermore, the calculation formula of the comprehensive electrical impact factor corresponding to the j-th wind turbine group is as follows:

[0036]

[0037] Wherein, Sij is the comprehensive electrical impact factor corresponding to the j-th wind turbine set, kij is the total number of wind turbines in the second detailed model wind turbine set, Pavg(l) is the average daily output power of the l-th wind turbine set in the second detailed model wind turbine set, Pavg(Mij) is the average daily output power of the j-th wind turbine set in the first detailed model wind turbine set, and sumx(Mij) is the sum of the electrical distances between each wind turbine in the second detailed model wind turbine set corresponding to the j-th wind turbine set in the first detailed model wind turbine set and the j-th wind turbine set.

[0038] Further, the division unit is used to determine the division of the second detailed model wind turbine set into a detailed model wind turbine set set or an equivalent model wind turbine set set based on the comprehensive electrical impact factor;

[0039] The division unit is specifically used to determine whether the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than a first threshold value. If the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than the first threshold value, the wind turbine groups in the second detailed model wind turbine group set are divided from the equivalent model wind turbine group set to the detailed model wind turbine group set; otherwise, no division is performed;

[0040] The first threshold is the product of the total number of wind turbines in the second detailed model wind turbine set and 0.1.

[0041] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in the first aspect is implemented.

[0042] A fourth aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect of the present application.

[0043] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0044] The present application proposes a method and system for dividing digital simulation models of wind turbines, wherein the method comprises: step F1: obtaining a set of initial detailed model wind turbines simulated using a detailed model and an initial equivalent model wind turbine set simulated using an equivalent model in a wind farm to be simulated, and setting i=1, wherein i is the serial number of the i-th wind turbine in the initial detailed model wind turbine set; step F2: selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine in the detailed model wind turbine set from the equivalent model wind turbine set after the i-1-th model division to form a first detailed model wind turbine set corresponding to the i-th wind turbine, wherein when i=1, selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine from the initial equivalent model wind turbine set; step F3: selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine from the equivalent model wind turbine set after the i-1-th model division; The initial equivalent model wind turbine set selected in step F2 selects wind turbines that have a direct electrical connection relationship with the j-th wind turbine set in the first detailed model wind turbine set to form a second detailed model wind turbine set, and determines the comprehensive electrical impact factor corresponding to the j-th wind turbine set, and then determines the second detailed model wind turbine set to be divided into a detailed model wind turbine set or an equivalent model wind turbine set based on the comprehensive electrical impact factor; step F4: determine whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, enter step F5, otherwise set j=j+1 and return to step F3; step F5: determine whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3, if so, output the current division result, otherwise set i=i+1 and return to step F2. The technical solution proposed in this application clarifies the detailed model unit set and the equivalent model unit set, effectively improves the simulation accuracy of the external characteristics of the unit of interest without occupying too many computing resources, and more accurately simulates the overall output characteristics of the unit cluster.

[0045] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0047] Figure 1 A flowchart of a method for dividing a digital simulation model of a wind turbine generator system provided according to an embodiment of the present application;

[0048] Figure 2 A structural diagram of a wind turbine generator digital simulation model partitioning system provided according to an embodiment of the present application;

[0049] Figure 3 A structural diagram of a partitioning module provided according to an embodiment of the present application;

[0050] Figure 4 The present invention is a structural diagram of a determination unit provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0051] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0052] The present application proposes a method and system for dividing digital simulation models of wind turbines, wherein the method comprises: step F1: obtaining a set of initial detailed model wind turbines simulated using detailed models and an initial equivalent model wind turbine set simulated using equivalent models in a wind farm to be simulated, and setting i=1, wherein i is the serial number of the i-th wind turbine in the initial detailed model wind turbine set; step F2: selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine in the detailed model wind turbine set from the equivalent model wind turbine set after the i-1-th model division to form a first detailed model wind turbine set corresponding to the i-th wind turbine, wherein when i=1, selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine from the initial equivalent model wind turbine set; step F3: selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine from the equivalent model wind turbine set after the i-1-th model division; step F4: selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine from the initial equivalent model wind turbine set; step F5: selecting a wind turbine that has a direct electrical connection relationship with the i-th wind turbine from the equivalent model wind turbine set after the i-1-th model division The initial equivalent model wind turbine set selected in step F2 selects wind turbines that have a direct electrical connection relationship with the j-th wind turbine set in the first detailed model wind turbine set to form a second detailed model wind turbine set, and determines the comprehensive electrical impact factor corresponding to the j-th wind turbine set, and then determines the second detailed model wind turbine set to be divided into a detailed model wind turbine set or an equivalent model wind turbine set based on the comprehensive electrical impact factor; step F4: determine whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, enter step F5, otherwise set j=j+1 and return to step F3; step F5: determine whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3, if so, output the current division result, otherwise set i=i+1 and return to step F2. The technical solution proposed in this application clarifies the detailed model unit set and the equivalent model unit set, effectively improves the simulation accuracy of the external characteristics of the unit of interest without occupying too many computing resources, and more accurately simulates the overall output characteristics of the unit cluster.

[0053] The following describes a method and system for dividing a digital simulation model of a wind turbine generator system according to an embodiment of the present application with reference to the accompanying drawings.

[0054] Embodiment 1

[0055] Figure 1 A flow chart of a method for dividing a digital simulation model of a wind turbine generator system according to an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes:

[0056] Step F1: obtaining a set of initial detailed model wind turbines simulated by using a detailed model and an initial equivalent model wind turbine set simulated by using an equivalent model in a wind farm to be simulated, and setting i=1, wherein i is the serial number of the i-th wind turbine in the set of initial detailed model wind turbines;

[0057] Step F2: Selecting a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group in the detailed model wind turbine group set from the equivalent model wind turbine group set after the i-1-th model division to form a first detailed model wind turbine group set corresponding to the i-th wind turbine group, wherein when i=1, selecting a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group from the initial equivalent model wind turbine group set;

[0058] Step F3: selecting a wind turbine set that has a direct electrical connection relationship with the j-th wind turbine set in the first detailed model wind turbine set from the initial equivalent model wind turbine set selected in step F2 to form a second detailed model wind turbine set, and determining a comprehensive electrical impact factor corresponding to the j-th wind turbine set, and then determining whether the second detailed model wind turbine set is divided into a detailed model wind turbine set or an equivalent model wind turbine set based on the comprehensive electrical impact factor;

[0059] Step F4: determine whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, proceed to step F5, otherwise set j=j+1 and return to step F3;

[0060] Step F5: Determine whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3. If so, output the current division result; otherwise, set i=i+1 and return to step F2.

[0061] In the embodiment of the present disclosure, the determining of the comprehensive electrical impact factor corresponding to the j-th wind turbine generator set includes:

[0062] Obtaining the electrical distance between each wind turbine in the second detailed model wind turbine set and the j-th wind turbine set, the average daily output power of each wind turbine in the set, and the average daily output power of the j-th wind turbine set;

[0063] Determine the sum of electrical distances between each wind turbine in the set and the j-th wind turbine;

[0064] Determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group according to the sum of the electrical distances, the electrical distances between each wind turbine group in the set and the j-th wind turbine group, the average daily output power of each wind turbine group in the set, and the average daily output power of the j-th wind turbine group;

[0065] Wherein, j∈[1~J], J is the total number of wind turbines in the first detailed model wind turbine set.

[0066] In the embodiment of the present disclosure, the calculation formula of the comprehensive electrical impact factor corresponding to the j-th wind turbine group is as follows:

[0067]

[0068] Wherein, Sij is the comprehensive electrical impact factor corresponding to the j-th wind turbine set, kij is the total number of wind turbines in the second detailed model wind turbine set, Pavg(l) is the average daily output power of the l-th wind turbine set in the second detailed model wind turbine set, Pavg(Mij) is the average daily output power of the j-th wind turbine set in the first detailed model wind turbine set, and sumx(Mij) is the sum of the electrical distances between each wind turbine in the second detailed model wind turbine set corresponding to the j-th wind turbine set in the first detailed model wind turbine set and the j-th wind turbine set.

[0069] In an embodiment of the present disclosure, determining, based on the comprehensive electrical impact factor, that the second detailed model wind turbine set is divided into a detailed model wind turbine set set or an equivalent model wind turbine set set includes:

[0070] Determine whether the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than a first threshold value, if the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than the first threshold value, divide the wind turbine groups in the second detailed model wind turbine group set from the equivalent model wind turbine group set to the detailed model wind turbine group set, otherwise, do not divide;

[0071] The first threshold is the product of the total number of wind turbines in the second detailed model wind turbine set and 0.1.

[0072] In order to more clearly illustrate the implementation process of a method for dividing a wind turbine digital simulation model in an embodiment of the present application, a specific method embodiment is described in detail below:

[0073] Step 1) Number all the wind turbines in the wind farm to be simulated in geographical order, from 1 - N;

[0074] Step 2) Obtain the set of turbines of interest as the initial detailed model turbine set A, and define n as the current number of elements in set A; the remaining N - n elements form the initial equivalent model turbine set B. Among them, the turbines of interest are preset according to the user's requirements. In actual simulation, turbines of each different model, turbines in specific geographical locations, etc. can be determined as the set of turbines of interest;

[0075] Step 3) i = 1;

[0076] Step 4) Select the turbine corresponding to the i-th element in set A, list the Mi turbines in set B that have a direct electrical connection with it, remove these turbines from set B, and add them to set A;

[0077] Step 5) j = 1;

[0078] Step 6) List the kij turbines in set B that have a direct electrical connection with the turbine corresponding to the j-th element in Mi (i.e., the Mij-th turbine), and use the formula to calculate the comprehensive electrical influence factor Sij of the Mij-th turbine;

[0079] Step 7) Determine whether there is Sij < 0.1kij. If so, remove all the kij turbines from set B and add them to set A; if not, keep them in set B;

[0080] Step 8) Determine whether there is j < Mi. If so, let j = j + 1 and return to Step 6); if not, proceed to Step 9);

[0081] Step 9) Determine whether there is i < n. If so, let i = i + 1 and return to 4); if not, proceed to Step 10); It should be noted that when i = i + 1, set A in Step 4) is set A after adding in Step 7);

[0082] Step 10) The calculation is completed, and output the detailed model turbine set A and the equivalent model turbine set B at this time.

[0083] In summary, a method for partitioning a digital simulation model of wind turbines proposed in this embodiment defines the detailed model turbine set and the equivalent model turbine set by analyzing aspects such as the detailed simulation requirements of turbines, the influence of surrounding turbines of interest, and the simulation requirements of the cluster output characteristics. While not occupying too much computing resources, it effectively improves the simulation accuracy of the external characteristics of the turbines of interest and more accurately simulates the overall output characteristics of the turbine cluster.

[0084] Embodiment 2

[0085] Figure 2 FIG. 1 is a structural diagram of a wind turbine generator digital simulation model partitioning system according to an embodiment of the present application, such as Figure 2 As shown, the system comprises:

[0086] The acquisition module 100 is used to acquire a set of initial detailed model wind turbines simulated by using a detailed model and a set of initial equivalent model wind turbines simulated by using an equivalent model in a wind farm to be simulated, where i=1, wherein i is the serial number of the i-th wind turbine in the set of initial detailed model wind turbines;

[0087] A selection module 200 is used to select a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group in the detailed model wind turbine group set from the equivalent model wind turbine group set after the i-1-th model division, to form a first detailed model wind turbine group set corresponding to the i-th wind turbine group, wherein when i=1, a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group is selected from the initial equivalent model wind turbine group set;

[0088] A division module 300 is used to select a wind turbine group that has a direct electrical connection relationship with the j-th wind turbine group in the first detailed model wind turbine group set from the initial equivalent model wind turbine group set selected by the selection module to form a second detailed model wind turbine group set, and determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group, and then determine the division of the second detailed model wind turbine group set into a detailed model wind turbine group set or an equivalent model wind turbine group set based on the comprehensive electrical impact factor;

[0089] The first judgment module 400 is used to judge whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set. If so, enter the second judgment module; otherwise, set j=j+1 and return to the division module;

[0090] The second judgment module 500 is used to judge whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3. If so, output the current division result; otherwise, set i=i+1 and return to the selection module.

[0091] In the embodiments of the present disclosure, Figure 3 As shown, the division module 300 includes: a determination unit 301 and a division unit 302;

[0092] The determining unit 301 is used to determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group;

[0093] Among them, Figure 4As shown, the determining unit 301 includes:

[0094] The acquisition submodule 3011 is used to acquire the electrical distance between each wind turbine in the second detailed model wind turbine set and the j-th wind turbine set, the average daily output power of each wind turbine in the set, and the average daily output power of the j-th wind turbine set;

[0095] A first determination submodule 3012 is used to determine the sum of electrical distances between each wind turbine in the set and the j-th wind turbine;

[0096] The second determination submodule 3013 is used to determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group according to the sum of the electrical distances, the electrical distances between each wind turbine group in the set and the j-th wind turbine group, the average daily output power of each wind turbine group in the set, and the average daily output power of the j-th wind turbine group;

[0097] j∈[1~J], J is the total number of wind turbines in the first detailed model wind turbine set.

[0098] The calculation formula of the comprehensive electrical impact factor corresponding to the j-th wind turbine group is as follows:

[0099]

[0100] Wherein, Sij is the comprehensive electrical impact factor corresponding to the j-th wind turbine set, kij is the total number of wind turbines in the second detailed model wind turbine set, Pavg(l) is the average daily output power of the l-th wind turbine set in the second detailed model wind turbine set, Pavg(Mij) is the average daily output power of the j-th wind turbine set in the first detailed model wind turbine set, and sumx(Mij) is the sum of the electrical distances between each wind turbine in the second detailed model wind turbine set corresponding to the j-th wind turbine set in the first detailed model wind turbine set and the j-th wind turbine set.

[0101] In the embodiment of the present disclosure, the division unit 302 is used to determine the division of the second detailed model wind turbine set into a detailed model wind turbine set set or an equivalent model wind turbine set set based on the comprehensive electrical impact factor;

[0102] The division unit 302 is specifically used for:

[0103] Determine whether the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than a first threshold value, if the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than the first threshold value, divide the wind turbine groups in the second detailed model wind turbine group set from the equivalent model wind turbine group set to the detailed model wind turbine group set, otherwise, do not divide;

[0104] The first threshold is the product of the total number of wind turbines in the second detailed model wind turbine set and 0.1.

[0105] To sum up, the wind turbine digital simulation model division system proposed in this embodiment clarifies the detailed model unit set and the equivalent model unit set through the detailed simulation requirements of the unit, the impact analysis of the surrounding units of the unit, the simulation requirements of the cluster output characteristics, etc., which effectively improves the simulation accuracy of the external characteristics of the unit of concern without occupying too many computing resources, and more accurately simulates the overall output characteristics of the unit cluster.

[0106] Embodiment 3

[0107] In order to implement the above embodiments, the present disclosure further proposes an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in Embodiment 1 is implemented.

[0108] Embodiment 4

[0109] In order to implement the above embodiments, the present disclosure further proposes a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in the first embodiment is implemented.

[0110] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0111] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0112] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for dividing a digital simulation model of a wind turbine generator system, characterized in that: The method comprises: Step F1: obtaining a set of initial detailed model wind turbines simulated by using a detailed model and an initial equivalent model wind turbine set simulated by using an equivalent model in a wind farm to be simulated, and setting i=1, wherein i is the serial number of the i-th wind turbine in the set of initial detailed model wind turbines; Step F2: Selecting a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group in the detailed model wind turbine group set from the equivalent model wind turbine group set after the i-1-th model division to form a first detailed model wind turbine group set corresponding to the i-th wind turbine group, wherein when i=1, selecting a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group from the initial equivalent model wind turbine group set; Step F3: selecting a wind turbine set that has a direct electrical connection relationship with the j-th wind turbine set in the first detailed model wind turbine set from the initial equivalent model wind turbine set selected in step F2 to form a second detailed model wind turbine set, and determining a comprehensive electrical impact factor corresponding to the j-th wind turbine set, and then determining whether the second detailed model wind turbine set is divided into a detailed model wind turbine set or an equivalent model wind turbine set based on the comprehensive electrical impact factor; Step F4: determine whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, proceed to step F5, otherwise set j=j+1 and return to step F3; Step F5: determine whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3, if so, output the current division result, otherwise set i=i+1 and return to step F2; The step of determining the comprehensive electrical impact factor corresponding to the j-th wind turbine generator set comprises: Obtaining the electrical distance between each wind turbine in the second detailed model wind turbine set and the j-th wind turbine set, the average daily output power of each wind turbine in the set, and the average daily output power of the j-th wind turbine set; Determine the sum of electrical distances between each wind turbine in the set and the j-th wind turbine; Determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group according to the sum of the electrical distances, the electrical distances between each wind turbine group in the set and the j-th wind turbine group, the average daily output power of each wind turbine group in the set, and the average daily output power of the j-th wind turbine group; Where, j∈[1~J], J is the total number of wind turbines in the first detailed model wind turbine set; The calculation formula of the comprehensive electrical impact factor corresponding to the j-th wind turbine group is as follows: Wherein, Sij is the comprehensive electrical impact factor corresponding to the j-th wind turbine set, kij is the total number of wind turbines in the second detailed model wind turbine set, Pavg(l) is the average daily output power of the l-th wind turbine set in the second detailed model wind turbine set, Pavg(Mij) is the average daily output power of the j-th wind turbine set in the first detailed model wind turbine set, and sumx(Mij) is the sum of the electrical distances between each wind turbine in the second detailed model wind turbine set corresponding to the j-th wind turbine set in the first detailed model wind turbine set and the j-th wind turbine set.

2. The method according to claim 1, characterized in that The determining, based on the comprehensive electrical impact factor, that the second detailed model wind turbine set is divided into a detailed model wind turbine set set or an equivalent model wind turbine set set comprises: Determine whether the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than a first threshold value, if the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than the first threshold value, divide the wind turbine groups in the second detailed model wind turbine group set from the equivalent model wind turbine group set to the detailed model wind turbine group set, otherwise, do not divide; The first threshold is the product of the total number of wind turbines in the second detailed model wind turbine set and 0.

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3. A wind turbine digital simulation model partitioning system, characterized in that: The system comprises: An acquisition module is used to acquire a set of initial detailed model wind turbines simulated by using a detailed model and a set of initial equivalent model wind turbines simulated by using an equivalent model in a wind farm to be simulated, wherein i=1, wherein i is the serial number of the i-th wind turbine in the set of initial detailed model wind turbines; A selection module is used to select a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group in the detailed model wind turbine group set from the equivalent model wind turbine group set after the i-1th model division, to form a first detailed model wind turbine group set corresponding to the i-th wind turbine group, wherein when i=1, a wind turbine group that has a direct electrical connection relationship with the i-th wind turbine group is selected from the initial equivalent model wind turbine group set; A division module, used for selecting a wind turbine group that has a direct electrical connection relationship with the j-th wind turbine group in the first detailed model wind turbine group set from the initial equivalent model wind turbine group set selected by the selection module to form a second detailed model wind turbine group set, and determining a comprehensive electrical impact factor corresponding to the j-th wind turbine group, and then determining whether the second detailed model wind turbine group set is divided into a detailed model wind turbine group set or an equivalent model wind turbine group set based on the comprehensive electrical impact factor; A first judgment module is used to judge whether j is greater than or equal to the total number of wind turbines in the first detailed model wind turbine set, if so, enter the second judgment module, otherwise set j=j+1 and return to the division module; The second judgment module is used to judge whether i is greater than or equal to the total number of wind turbines in the detailed model wind turbine set obtained in step F3. If so, output the current division result; otherwise, set i=i+1 and return to the step selection module; The division module includes: a determination unit and a division unit; The determining unit is used to determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group; Wherein, the determining unit includes: An acquisition submodule, used to acquire the electrical distance between each wind turbine in the second detailed model wind turbine set and the j-th wind turbine set, the average daily output power of each wind turbine in the set, and the average daily output power of the j-th wind turbine set; A first determination submodule, used to determine the sum of electrical distances between each wind turbine in the set and the j-th wind turbine; A second determination submodule is used to determine the comprehensive electrical impact factor corresponding to the j-th wind turbine group according to the sum of the electrical distances, the electrical distances between each wind turbine group in the set and the j-th wind turbine group, the average daily output power of each wind turbine group in the set, and the average daily output power of the j-th wind turbine group; j∈[1~J], J is the total number of wind turbines in the first detailed model wind turbine set; The calculation formula of the comprehensive electrical impact factor corresponding to the j-th wind turbine group is as follows: Wherein, Sij is the comprehensive electrical impact factor corresponding to the j-th wind turbine set, kij is the total number of wind turbines in the second detailed model wind turbine set, Pavg(l) is the average daily output power of the l-th wind turbine set in the second detailed model wind turbine set, Pavg(Mij) is the average daily output power of the j-th wind turbine set in the first detailed model wind turbine set, and sumx(Mij) is the sum of the electrical distances between each wind turbine in the second detailed model wind turbine set corresponding to the j-th wind turbine set in the first detailed model wind turbine set and the j-th wind turbine set.

4. The system according to claim 3, characterized in that The division unit is used to determine the division of the second detailed model wind turbine set into a detailed model wind turbine set set or an equivalent model wind turbine set set based on the comprehensive electrical impact factor; The division unit is specifically used to determine whether the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than a first threshold value. If the comprehensive electrical impact factor corresponding to the j-th wind turbine group is less than the first threshold value, the wind turbine groups in the second detailed model wind turbine group set are divided from the equivalent model wind turbine group set to the detailed model wind turbine group set; otherwise, no division is performed; The first threshold is the product of the total number of wind turbines in the second detailed model wind turbine set and 0.

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5. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method according to any one of claims 1 to 2 is implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

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