CN105320785A - Full-automatic working condition generation method and device used for wind turbine generator load calculation - Google Patents

Full-automatic working condition generation method and device used for wind turbine generator load calculation Download PDF

Info

Publication number
CN105320785A
CN105320785A CN201410324995.7A CN201410324995A CN105320785A CN 105320785 A CN105320785 A CN 105320785A CN 201410324995 A CN201410324995 A CN 201410324995A CN 105320785 A CN105320785 A CN 105320785A
Authority
CN
China
Prior art keywords
basic
bladed
operating mode
wind
parameter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201410324995.7A
Other languages
Chinese (zh)
Other versions
CN105320785B (en
Inventor
王磊
巫发明
李慧新
井家宝
王靛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CRRC Zhuzhou Institute Co Ltd
Original Assignee
CSR Zhuzou Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CSR Zhuzou Institute Co Ltd filed Critical CSR Zhuzou Institute Co Ltd
Priority to CN201410324995.7A priority Critical patent/CN105320785B/en
Publication of CN105320785A publication Critical patent/CN105320785A/en
Application granted granted Critical
Publication of CN105320785B publication Critical patent/CN105320785B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Wind Motors (AREA)

Abstract

The invention discloses a full-automatic working condition generation method and device used for wind turbine generator load calculation. The method includes the following steps that firstly, a middle parameter and a wind model parameter are calculated; secondly, a basic Bladed model file is selected, and a constant value parameter in the wind model parameter and the middle parameter is substituted; thirdly, according to a variable in the basic Bladed model file, a series of working condition variable value sets are generated; fourthly, new Bladed model file data are generated for each working condition variable value set with the basic Bladed model file as a template; fifthly, the data are saved according to specified routes and working condition file names. The device comprises a middle parameter and wind model parameter generation module, a model file import module, a working condition variable value set circulating generation module, a variable searching and modifying module and a working condition file saving module. By means of the method and device, the working condition setting process is simplified, working conditions are generated full automatically, operation is easy and quick, reliability is good, and accuracy is high.

Description

A kind of operating mode automatic Generation for load of wind turbine generator calculating and device
Technical field
The present invention relates to the LOAD FOR technical field of Wind turbines, be specifically related to a kind of operating mode automatic Generation for load of wind turbine generator calculating and device.
Background technology
Current wind-powered electricity generation carries out in the industry the Bladed software that blower fan LOAD FOR main tool is GH company.Use Bladed to carry out the working condition requirement that LOAD FOR need specify according to IEC or GL standard and carry out operating mode setting, because the various factors that need consider is more, therefore the LOAD FOR operating mode of complete set reaches 3000.Traditional approach is that the Batch using Bladed to carry carries out operating mode setting, time and effort consuming, also easily makes mistakes in the provisioning process because parameter is numerous.It is reported, prior art has the operation using screen coordinate to catch software simulating mouse or keyboard, and the method substituting artificial mouse and keyboard operation carries out operating mode setting.But the square ratio juris using screen coordinate seizure software to carry out operating mode setting is the button operation by catching mouse or keyboard, based on screen coordinate point value, clear and definite priority execution sequence need be had, therefore setting up procedure trouble, efficiency is low, and versatility and reliability are not high.Therefore in general, the operating mode realizing LOAD FOR is at present arranged temporarily without ripe, general rapid-setting method.
Summary of the invention
The technical problem to be solved in the present invention is: for the above-mentioned technical matters of prior art, there is provided one to simplify the setup process, operating mode generates full-automatic, simple and quick, the operating mode automatic Generation for load of wind turbine generator calculating that good reliability, accuracy are high and device.
In order to solve the problems of the technologies described above, the technical solution used in the present invention is:
For the operating mode automatic Generation that load of wind turbine generator calculates, implementation step is as follows:
1) go out to specify the intermediate parameters needed for basic Bladed wind model generation operating mode according to the wind-resources data inputted and blower fan Parameter Calculation, described intermediate parameters comprises definite value parameter and threshold parameter, described threshold parameter is upper boundary values, lower border value for arranging threshold value or comprises up-and-down boundary value simultaneously, needs the variable one_to_one corresponding revised in described threshold parameter and basic Bladed model file; Initialize installation specifies the wind model parameter of basic Bladed wind model, preserves described intermediate parameters and wind model parameter for subsequent calls;
2) select to import basic Bladed model file, the definite value parameter in described wind model parameter, intermediate parameters is substituted into respectively in basic Bladed model file;
3) the variable number needing in described basic Bladed model file to revise is determined, for in described basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with described variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, described operating mode variate-value group is made up of the variate-value that the variable needing in Bladed model file basic described in each to revise is corresponding;
4) for each operating mode variate-value group, with described basic Bladed model file for template, search in described basic Bladed model file the variable needing to revise in a template, be revised as this variable variate-value corresponding in described operating mode variate-value group respectively obtain a new basic Bladed model file data, one_to_one corresponding between the quantity of described basic Bladed model file data newly, the quantity of operating mode variate-value group by searching the character string obtaining variable;
5) path that the new basic Bladed model file data genaration obtained for every portion is specified and operating mode file name, and preserve according to the path of specifying and operating mode file name.
Preferably, the wind-resources data in described step 1) comprise atmospheric density, turbulence intensity and Limit of Wind Speed, and described blower fan basic parameter comprises rotor diameter, tower cylinder height, wind rating, incision wind speed and cut-out wind speed; The threshold parameter of described intermediate parameters comprises standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity.
The present invention also provides a kind of full-automatic generating apparatus of operating mode calculated for load of wind turbine generator, comprising:
Intermediate parameters and wind model parameter generation module, for going out to specify the intermediate parameters needed for basic Bladed wind model generation operating mode according to the wind-resources data inputted and blower fan Parameter Calculation, described intermediate parameters comprises definite value parameter and threshold parameter, described threshold parameter is upper boundary values, lower border value for arranging threshold value or comprises up-and-down boundary value simultaneously, needs the variable one_to_one corresponding revised in described threshold parameter and basic Bladed model file; Initialize installation specifies the wind model parameter of basic Bladed wind model, preserves described intermediate parameters and wind model parameter for subsequent calls;
Model file imports module, importing basic Bladed model file, the definite value parameter in described wind model parameter, intermediate parameters being substituted into respectively in basic Bladed model file for selecting;
Operating mode variate-value group circulation generation module, for determining the variable number needing in described basic Bladed model file to revise, for in described basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with described variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, described operating mode variate-value group is made up of the variate-value that the variable needing in Bladed model file basic described in each to revise is corresponding,
Variable is searched and modified module, for each operating mode variate-value group, with described basic Bladed model file for template, by searching in described basic Bladed model file the variable needing to revise in template file, be revised as this variable variate-value corresponding in described operating mode variate-value group respectively obtain a new basic Bladed model file data, one_to_one corresponding between the quantity of described basic Bladed model file data newly, the quantity of operating mode variate-value group by searching the character string obtaining variable;
Module preserved by operating mode file, the path that the new basic Bladed model file data genaration for obtaining for every portion is specified and operating mode file name, and preserves according to the path of specifying and operating mode file name.
Preferably, described intermediate parameters and wind model parameter generation module comprise atmospheric density, turbulence intensity and Limit of Wind Speed for the wind-resources data calculating intermediate parameters, and described blower fan basic parameter comprises rotor diameter, tower cylinder height, wind rating, incision wind speed and cut-out wind speed; The threshold parameter of described intermediate parameters comprises standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity.
The operating mode automatic Generation that the present invention is used for load of wind turbine generator calculating has following advantage:
1, the present invention is based on the basic Bladed model file of Bladed software, by calculating intermediate parameters, definite value parameter in intermediate parameters and wind model parameter are substituted into basic Bladed model file, for in basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, for each operating mode variate-value group, with basic Bladed model file for template, search in basic Bladed model file the variable needing to revise in a template, be revised as this variable variate-value corresponding in operating mode variate-value group respectively obtain a new basic Bladed model file data by searching the character string obtaining variable, basic Bladed model file data the newest carry out according to the path of specifying and operating mode file name the operating mode file saving as load of wind turbine generator calculating respectively, achieve the operating mode full-automation setting that load of wind turbine generator calculates, only need given wind-resources data can realize arranging full-automation based on the load working condition of IEC or GL standard during use, fast, complete the setting of a complete set of load working condition accurately, there is the process of simplifying the setup, operating mode generates full-automatic, simple and quick, good reliability, the advantage that accuracy is high.
2, artificially to participate in factor less in enforcement of the present invention, only need ensure the accuracy of basic data (wind-resources data and blower fan basic parameter), and the operating mode set out is just very accurate.
3, because enforcement of the present invention does not have loaded down with trivial details, repeater for operation, simplify the setting up procedure of load of wind turbine generator design condition, it is high that operating mode arranges efficiency, and the generation of all operating modes can realize automatically.
The full-automatic generating apparatus of operating mode that the present invention is used for load of wind turbine generator calculating is the complete corresponding device of operating mode automatic Generation that the present invention calculates for load of wind turbine generator, therefore also there is the technique effect that the operating mode automatic Generation that calculates for load of wind turbine generator with the present invention is identical, therefore do not repeat them here.
Accompanying drawing explanation
Fig. 1 is the method flow schematic diagram of the embodiment of the present invention.
Embodiment
As shown in Figure 1, the present embodiment is as follows for the implementation step of the operating mode automatic Generation of load of wind turbine generator calculating:
1) go out to specify the intermediate parameters needed for basic Bladed wind model generation operating mode according to the wind-resources data inputted and blower fan Parameter Calculation, intermediate parameters comprises definite value parameter and threshold parameter, threshold parameter is upper boundary values, lower border value for arranging threshold value or comprises up-and-down boundary value simultaneously, needs the variable one_to_one corresponding revised in threshold parameter and basic Bladed model file; Initialize installation specifies the wind model parameter of basic Bladed wind model, preserves intermediate parameters and wind model parameter for subsequent calls.
In the present embodiment, the wind-resources data in step 1) comprise atmospheric density, turbulence intensity and Limit of Wind Speed, and blower fan basic parameter comprises rotor diameter, tower cylinder height, wind rating, incision wind speed and cut-out wind speed; The threshold parameter of intermediate parameters comprises standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity.Basic Bladed wind model in Bladed software comprises NTM wind model, ETM wind model, EWM wind model and EOG wind model etc., and the appointment basis Bladed wind model therefore in the present embodiment in step 1) can select the one in several wind models such as NTM wind model, ETM wind model, EWM wind model and EOG wind model as required.
2) select to import basic Bladed model file, the definite value parameter in wind model parameter, intermediate parameters is substituted in basic Bladed model file respectively.
3) the variable number needing in basic Bladed model file to revise is determined, for in basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, operating mode variate-value group is made up of the variate-value that the variable needing in each basic Bladed model file to revise is corresponding.
In fact the process that operating mode is arranged is exactly the process of relevant variable value in each basic Bladed wind model of change Bladed software, in the model of Bladed software, the title of each variable is fixing, therefore the name of these variablees can be referred to as character string, search in base model file, and amendment becomes operating mode numerical value.Owing to defining the combined situation of various external environment condition and condition in IEC or GL standard, therefore in the setting up procedure of each operating mode, the circulation of each factor need be considered, reach optimum configurations target fast and efficiently.The present embodiment, according to the regulation of IEC or GL standard to a certain operating mode, needs combination (such as wind speed, the yaw error of considering which external environment condition and condition, fault etc.), for these combinations, combing goes out the cyclic policy of these variablees of amendment and parameter, then the logic of circulation is solidified.Represent with A, B, C, D respectively with standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity four variablees, such as variables A, according to the cycle index preset and step-length, generating by variate-value group in conjunction with the threshold parameter circulation that A is corresponding in threshold parameter is { A1, A2, A3, A4, A5, A6}; For variable B, according to the cycle index preset and step-length, generating by variate-value group in conjunction with the threshold parameter circulation that B is corresponding in threshold parameter is { B1, B2, B3, B4}; For variable C, according to the cycle index preset and step-length, generating by variate-value group in conjunction with the threshold parameter circulation that C is corresponding in threshold parameter is { C1, C2, C3, C4, C5}; For variables D, according to the cycle index preset and step-length, generating by variate-value group in conjunction with the threshold parameter circulation that D is corresponding in threshold parameter is { D1, D2, D3, D4, D5, D6}, then undertaken after permutation and combination obtains a series of operating mode variate-value group by the variate-value group of all variablees, one of them operating mode variate-value group is { A1, B1, C1, D1}, by that analogy, the corresponding a kind of operating mode of each operating mode variate-value group, as 3000 kinds of operating modes need be obtained, then need generation 3000 operating mode variate-value groups.
In the present embodiment, the detailed implementation step of step 3) is as follows:
3.1) select a basic Bladed model file as current basal Bladed model file;
3.2) the variable number needing in current basal Bladed model file to revise is determined;
3.3) from current basal Bladed model file, one is selected to need the variable of amendment as current variable;
3.4) according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with current variable generates the variate-value group be made up of multiple variate-value;
3.5) judge whether current variable is the variable that in current basal Bladed model file, last needs amendment, and if it is redirect performs step 3.6), otherwise redirect performs step 3.3);
3.6) the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, operating mode variate-value group is made up of the variate-value that the variable needing in each basic Bladed model file to revise is corresponding;
3.7) judge whether current basal Bladed model file is last basic Bladed model file, if it is redirect performs step 4), otherwise redirect performs step 3.1).
4) for each operating mode variate-value group, with basic Bladed model file for template, search in basic Bladed model file the variable needing to revise in a template, be revised as this variable variate-value corresponding in operating mode variate-value group respectively obtain a new basic Bladed model file data, one_to_one corresponding between the quantity of new basic Bladed model file data, the quantity of operating mode variate-value group by searching the character string obtaining variable.The present embodiment by the amendment of each operating mode variate-value group is write template, thus obtains a new basic Bladed model file data from template is derivative, and these new basic Bladed model file data are a kind of partial data of operating mode.
In the present embodiment, the detailed step of step 4) is as follows:
4.1) select an operating mode variate-value group as current working variate-value group;
4.2) with basic Bladed model file for template, search in basic Bladed model file the variable needing to revise in a template, be revised as this variable variate-value corresponding in current working variate-value group respectively obtain a new basic Bladed model file data by searching the character string obtaining variable;
4.3) judge whether current working variate-value group is last operating mode variate-value group, step 4.1 is performed) if not then redirect, otherwise a series of basic Bladed model file data newly obtained, and one_to_one corresponding between the quantity of the quantity of new basic Bladed model file data, operating mode variate-value group.
5) path that the new basic Bladed model file data genaration obtained for every portion is specified and operating mode file name, and preserve according to the path of specifying and operating mode file name.
According to the regulation of IEC or GL standard, a whole set of complete LOAD FOR operating mode number is often beyond 3000, and each operating mode need have definitely independently path and operating mode title, and these data same needs in whole circulation is planned.To the operating mode after each amendment, definition, need to create corresponding operating mode title and path and preserve each operating mode, each operating mode so just can be allowed to carry out naming and preserving according to standard-required.The present embodiment specifically divides into groups based on variable, such as a certain dlc1.2 operating mode group by name, 60 sub-operating modes may be had below, every sub-operating mode title is as dlc1.2aa-1, a series of value such as dlc1.2aa-2, the path of preserving is similarly similar a series of path strings, and these values all need to provide in software program, and automatic generated corresponding path is preserved for file below in advance.After each operating mode has been modified, need the floor data in software program to preserve into corresponding file layout according to the path of specifying with operating mode file name, thus completed the generation of load of wind turbine generator operating mode.
See Fig. 1, the full-automatic generating apparatus of operating mode that the present embodiment is used for load of wind turbine generator calculating comprises:
Intermediate parameters and wind model parameter generation module, for going out to specify the intermediate parameters needed for basic Bladed wind model generation operating mode according to the wind-resources data inputted and blower fan Parameter Calculation, intermediate parameters comprises definite value parameter and threshold parameter, threshold parameter is upper boundary values, lower border value for arranging threshold value or comprises up-and-down boundary value simultaneously, needs the variable one_to_one corresponding revised in threshold parameter and basic Bladed model file; Initialize installation specifies the wind model parameter of basic Bladed wind model, preserves intermediate parameters and wind model parameter for subsequent calls;
Model file imports module, importing basic Bladed model file, the definite value parameter in wind model parameter, intermediate parameters being substituted into respectively in basic Bladed model file for selecting;
Operating mode variate-value group circulation generation module, for determining the variable number needing in basic Bladed model file to revise, for in basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, operating mode variate-value group is made up of the variate-value that the variable needing in each basic Bladed model file to revise is corresponding,
Variable is searched and modified module, for each operating mode variate-value group, with basic Bladed model file for template, by searching in basic Bladed model file the variable needing to revise in template file, be revised as this variable variate-value corresponding in operating mode variate-value group respectively obtain a new basic Bladed model file data, one_to_one corresponding between the quantity of new basic Bladed model file data, the quantity of operating mode variate-value group by searching the character string obtaining variable;
Module preserved by operating mode file, the path that the new basic Bladed model file data genaration for obtaining for every portion is specified and operating mode file name, and preserves according to the path of specifying and operating mode file name.
In the present embodiment, intermediate parameters and wind model parameter generation module comprise atmospheric density, turbulence intensity and Limit of Wind Speed for the wind-resources data calculating intermediate parameters, and blower fan basic parameter comprises rotor diameter, tower cylinder height, wind rating, incision wind speed and cut-out wind speed; The threshold parameter of intermediate parameters comprises standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity.
The above is only the preferred embodiment of the present invention, protection scope of the present invention be not only confined to above-described embodiment, and all technical schemes belonged under thinking of the present invention all belong to protection scope of the present invention.It should be pointed out that for those skilled in the art, some improvements and modifications without departing from the principles of the present invention, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (4)

1., for the operating mode automatic Generation that load of wind turbine generator calculates, it is characterized in that implementation step is as follows:
1) go out to specify the intermediate parameters needed for basic Bladed wind model generation operating mode according to the wind-resources data inputted and blower fan Parameter Calculation, described intermediate parameters comprises definite value parameter and threshold parameter, described threshold parameter is upper boundary values, lower border value for arranging threshold value or comprises up-and-down boundary value simultaneously, needs the variable one_to_one corresponding revised in described threshold parameter and basic Bladed model file; Initialize installation specifies the wind model parameter of basic Bladed wind model, preserves described intermediate parameters and wind model parameter for subsequent calls;
2) select to import basic Bladed model file, the definite value parameter in described wind model parameter, intermediate parameters is substituted into respectively in basic Bladed model file;
3) the variable number needing in described basic Bladed model file to revise is determined, for in described basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with described variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, described operating mode variate-value group is made up of the variate-value that the variable needing in Bladed model file basic described in each to revise is corresponding;
4) for each operating mode variate-value group, with described basic Bladed model file for template, search in described basic Bladed model file the variable needing to revise in a template, be revised as this variable variate-value corresponding in described operating mode variate-value group respectively obtain a new basic Bladed model file data, one_to_one corresponding between the quantity of described basic Bladed model file data newly, the quantity of operating mode variate-value group by searching the character string obtaining variable;
5) path that the new basic Bladed model file data genaration obtained for every portion is specified and operating mode file name, and preserve according to the path of specifying and operating mode file name.
2. the operating mode automatic Generation calculated for load of wind turbine generator according to claim 1, it is characterized in that: the wind-resources data in described step 1) comprise atmospheric density, turbulence intensity and Limit of Wind Speed, described blower fan basic parameter comprises rotor diameter, tower cylinder height, wind rating, incision wind speed and cut-out wind speed; The threshold parameter of described intermediate parameters comprises standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity.
3., for the full-automatic generating apparatus of operating mode that load of wind turbine generator calculates, it is characterized in that comprising:
Intermediate parameters and wind model parameter generation module, for going out to specify the intermediate parameters needed for basic Bladed wind model generation operating mode according to the wind-resources data inputted and blower fan Parameter Calculation, described intermediate parameters comprises definite value parameter and threshold parameter, described threshold parameter is upper boundary values, lower border value for arranging threshold value or comprises up-and-down boundary value simultaneously, needs the variable one_to_one corresponding revised in described threshold parameter and basic Bladed model file; Initialize installation specifies the wind model parameter of basic Bladed wind model, preserves described intermediate parameters and wind model parameter for subsequent calls;
Model file imports module, importing basic Bladed model file, the definite value parameter in described wind model parameter, intermediate parameters being substituted into respectively in basic Bladed model file for selecting;
Operating mode variate-value group circulation generation module, for determining the variable number needing in described basic Bladed model file to revise, for in described basic Bladed model file, each needs the variable of amendment, according to the cycle index preset and step-length, the threshold parameter circulation corresponding in threshold parameter in conjunction with described variable generates the variate-value group be made up of multiple variate-value, the variate-value group of all variablees is carried out permutation and combination and obtain a series of operating mode variate-value group, described operating mode variate-value group is made up of the variate-value that the variable needing in Bladed model file basic described in each to revise is corresponding,
Variable is searched and modified module, for each operating mode variate-value group, with described basic Bladed model file for template, by searching in described basic Bladed model file the variable needing to revise in template file, be revised as this variable variate-value corresponding in described operating mode variate-value group respectively obtain a new basic Bladed model file data, one_to_one corresponding between the quantity of described basic Bladed model file data newly, the quantity of operating mode variate-value group by searching the character string obtaining variable;
Module preserved by operating mode file, the path that the new basic Bladed model file data genaration for obtaining for every portion is specified and operating mode file name, and preserves according to the path of specifying and operating mode file name.
4. the full-automatic generating apparatus of operating mode calculated for load of wind turbine generator according to claim 3, it is characterized in that: described intermediate parameters and wind model parameter generation module comprise atmospheric density, turbulence intensity and Limit of Wind Speed for the wind-resources data calculating intermediate parameters, described blower fan basic parameter comprises rotor diameter, tower cylinder height, wind rating, incision wind speed and cut-out wind speed; The threshold parameter of described intermediate parameters comprises standard deviation, longitudinal turbulence intensity, lateral turbulence intensity and radial turbulence intensity.
CN201410324995.7A 2014-07-09 2014-07-09 A kind of operating mode automatic Generation and device calculated for load of wind turbine generator Expired - Fee Related CN105320785B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410324995.7A CN105320785B (en) 2014-07-09 2014-07-09 A kind of operating mode automatic Generation and device calculated for load of wind turbine generator

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410324995.7A CN105320785B (en) 2014-07-09 2014-07-09 A kind of operating mode automatic Generation and device calculated for load of wind turbine generator

Publications (2)

Publication Number Publication Date
CN105320785A true CN105320785A (en) 2016-02-10
CN105320785B CN105320785B (en) 2018-05-29

Family

ID=55248171

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410324995.7A Expired - Fee Related CN105320785B (en) 2014-07-09 2014-07-09 A kind of operating mode automatic Generation and device calculated for load of wind turbine generator

Country Status (1)

Country Link
CN (1) CN105320785B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105893693A (en) * 2016-04-21 2016-08-24 北京航空航天大学 Compressible turbulence direct numerical simulation method based on compact type high resolution hybrid format
CN106503316A (en) * 2016-10-12 2017-03-15 广东明阳风电产业集团有限公司 A kind of efficient assessment system of blower fan load
WO2018103286A1 (en) * 2016-12-05 2018-06-14 北京金风科创风电设备有限公司 Method and device for detecting equivalent load of wind turbine generator system
CN110968942A (en) * 2019-11-11 2020-04-07 许昌许继风电科技有限公司 Performance evaluation method of wind turbine generator based on surrounding environment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102129487A (en) * 2010-11-18 2011-07-20 杭州高特数码技术有限公司 Method for simulative generation of working condition curve of electric vehicle
CN102708266A (en) * 2012-06-12 2012-10-03 中国科学院工程热物理研究所 Method for predicting and calculating limit load of horizontal-axis wind turbine blade
CN102831260A (en) * 2012-07-27 2012-12-19 南车株洲电力机车研究所有限公司 Hub strength calculation method of wind power generating unit
CN103645065A (en) * 2013-12-25 2014-03-19 国电联合动力技术有限公司 Offshore wind turbine foundation full-time coupling fatigue analyzing method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102129487A (en) * 2010-11-18 2011-07-20 杭州高特数码技术有限公司 Method for simulative generation of working condition curve of electric vehicle
CN102708266A (en) * 2012-06-12 2012-10-03 中国科学院工程热物理研究所 Method for predicting and calculating limit load of horizontal-axis wind turbine blade
CN102831260A (en) * 2012-07-27 2012-12-19 南车株洲电力机车研究所有限公司 Hub strength calculation method of wind power generating unit
CN103645065A (en) * 2013-12-25 2014-03-19 国电联合动力技术有限公司 Offshore wind turbine foundation full-time coupling fatigue analyzing method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
严盈富,等: "工况数据模拟生成***", 《计算机***应用》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105893693A (en) * 2016-04-21 2016-08-24 北京航空航天大学 Compressible turbulence direct numerical simulation method based on compact type high resolution hybrid format
CN105893693B (en) * 2016-04-21 2019-05-31 北京航空航天大学 A kind of compressible turbulent flow direct Numerical method based on compact type high-resolution mixed format
CN106503316A (en) * 2016-10-12 2017-03-15 广东明阳风电产业集团有限公司 A kind of efficient assessment system of blower fan load
CN106503316B (en) * 2016-10-12 2020-01-10 明阳智慧能源集团股份公司 High-efficient evaluation system of fan load
WO2018103286A1 (en) * 2016-12-05 2018-06-14 北京金风科创风电设备有限公司 Method and device for detecting equivalent load of wind turbine generator system
US10337498B2 (en) 2016-12-05 2019-07-02 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. Method and device for detecting equivalent load of wind turbine
CN110968942A (en) * 2019-11-11 2020-04-07 许昌许继风电科技有限公司 Performance evaluation method of wind turbine generator based on surrounding environment

Also Published As

Publication number Publication date
CN105320785B (en) 2018-05-29

Similar Documents

Publication Publication Date Title
CN105320785A (en) Full-automatic working condition generation method and device used for wind turbine generator load calculation
CN101984416B (en) Method and device for generating test case
CN102819221B (en) LVRT Capability of Wind Turbine Generator characteristic associative simulation model and joint simulation method thereof
CN104778124A (en) Automatic testing method for software application
CN103793217B (en) Method and system for software rapid configuration
CN104732065A (en) Resolving algorithm of mine ventilation network and prediction system of mine ventilation network
CN105573774B (en) Application Parameters management and configuration method
CN104063519A (en) BPA power grid data analyzing and managing method and system based on EXCEL
CN106325965A (en) Method and device for compiling of operating system
KR20160007838A (en) Method for designing and analyzing wind turbine blade
CN109301814B (en) Method and system for analyzing wind power capacity of access power grid
CN104881310A (en) Method and device for configuring embedded system
CN104391731A (en) Editing method based on C# and irrelevant to data types
CN108170466B (en) A kind of C/C++ bugs self-repairing method based on program synthesis
CN103699478A (en) Test case generation system and test case generation method
CN105117329A (en) Application automatic online system and method
CN106991229B (en) Wind power plant equivalent modeling method for complex topology
CN103324801A (en) Wind turbine digital simulation method based on RTDS (real-time digital simulation)
CN105356498A (en) Verification system and method for low-voltage ride-through simulation model of wind power unit
CN107272446A (en) The emulation platform and emulation mode of a kind of Control-oriented algorithm
CN106980518A (en) The method that technological design files in batch is checked
CN105867894A (en) Automatic creating method and system of development environment
CN115545793A (en) Novel power system power grid foundation model construction method, system, equipment and medium
CN109117431A (en) System and method for the source data applied from source to be incorporated into the target data of target application
CN111738874B (en) Method and device for automatically generating operation steps of new equipment of power grid based on starting model

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20180529

Termination date: 20200709

CF01 Termination of patent right due to non-payment of annual fee