CN102693365A - Wind resource assessment method and wind resource assessment system - Google Patents
Wind resource assessment method and wind resource assessment system Download PDFInfo
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Abstract
The invention relates to a wind resource assessment method and a wind resource assessment system. The wind resource assessment method include: judging whether a format of original input wind measuring data is an NRC (new radiance group) output format of a wind measuring device or not, judging whether the format of the original input wind measuring data is matched with a preset data format or not, taking corresponding actions according to the judging result to obtain various parameters required for assessing wind energy resources; acquiring each assessment factor and corresponding standard assessment information of each assessment factor, and establishing a fuzzy relation matrix and an assessment factor weight matrix according to the assessment factors, the corresponding standard assessment information of each assessment factor and the parameters required for assessing wind energy resources; obtaining a wind resource grade assessment result via fuzzy variation according to the fuzzy relation matrix and the assessment factor weight matrix. Since the wind resource assessment method does not direct at a specific data format, convenience of the wind resource assessment is improved. Since the wind resource grade is assessed according to the principle of fuzzy mathematics, rationality and scientificity of the wind resource grading are improved.
Description
Technical field
The present invention relates to wind energy turbine set and survey wind data monitoring field, particularly relate to a kind of Method of Wind Resource Assessment and a kind of wind-resources evaluating system.
Background technology
Wind-powered electricity generation is motive power with the natural wind; And Power Output for Wind Power Field depends on the wind energy resources characteristics of wind-powered electricity generation developing zone to a great extent; The wind-resources in real-time assessment wind-powered electricity generation planning zone distributes; The overall understanding wind energy resources distributes and characteristics, grasps the wind energy characteristic, and planning, construction and the operation of electrical network had very important significance.
It is important element task in the wind energy turbine set development and Design process that wind energy turbine set is surveyed wind data analysis, checking and wind energy resources assessment, and especially the check to the survey wind data quality of magnanimity has often determined wind energy resources assessment correctness.But; Because observation instrument is provided with difference and various places weather, wind regime changes greatly; Therefore surveying the wind data data layout exists very big-difference; This has increased the complexity of wind energy resources assessment greatly, and simultaneously, general wind-resources evaluating system just carries out simple wind-resources grade classification according to wind-resources assessment related specifications; And do not take into full account the actual conditions of surveying wind ground, make by the simple wind-resources grade of dividing of single index can not be scientifically, the actual conditions of reflection locality reasonably.
Summary of the invention
According to the shortcoming and defect of above-mentioned prior art, the present invention provides a kind of Method of Wind Resource Assessment and a kind of wind-resources evaluating system, not to certain specific data layout, increases the convenience of wind-resources assessment.
The object of the invention is realized through following technical scheme:
A kind of Method of Wind Resource Assessment comprises the steps:
Whether the data layout of judging the original survey wind data of input is that NRG surveys the wind devices output format, if not, judges then whether the data layout of original survey wind data is complementary with preset data layout again;
If be complementary, perhaps, original survey wind data surveys the wind devices output format if being NRG, and then original survey wind data is tested, corrected, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data;
If be not complementary, then the every column data in the original survey wind data is defined, obtain first and survey wind data, survey wind data to first and test, correct, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data;
Obtain and respectively pass judgment on the factor and the corresponding judgment criteria information of respectively passing judgment on the factor, and set up fuzzy relation matrix and pass judgment on factor weight matrix based on each judge factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor;
According to fuzzy relation matrix and judge factor weight matrix, obtain the wind-resources rank judging results through smear out effect.
A kind of wind-resources evaluating system comprises:
Judge module is used to judge whether the data layout of the original survey wind data of input is that NRG surveys the wind devices output format, if not, is used to also then judge whether the data layout of original survey wind data is complementary with preset data layout;
The raw data administration module; When the data layout that is used for result of determination when said judge module and is original survey wind data is not complementary with preset data layout; Every column data in the original survey wind data defines; Obtain first and survey wind data, and survey wind data with first and be transferred to data detection and correct module;
Data detection is corrected module; The data layout that is used for result of determination when said judge module and is original survey wind data is that NRG surveys the wind devices output format; When the data layout of perhaps original survey wind data is complementary with preset data layout; Original survey wind data is tested, corrected, and revised survey wind data is transferred to wind regime parameter analysis module, also be used for when receiving the first survey wind data; Survey wind data to first and test, correct, and revised survey wind data is transferred to wind regime parameter analysis module;
Wind regime parameter analysis module is used for obtaining assessing the needed various parameters of wind energy resources according to revised survey wind data when receiving revised survey wind data, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module;
Fuzzy matrix is set up module; Be used for respectively passing judgment on the factor and the corresponding judgment criteria information of respectively passing judgment on the factor receiving to obtain; And based on each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix and are passed judgment on factor weight matrix, and with fuzzy relation matrix with pass judgment on factor weight matrix and be transferred to wind-resources grade classification module;
Wind-resources grade classification module is used for obtaining the wind-resources rank judging results according to fuzzy relation matrix and judge factor weight matrix through smear out effect.
Scheme according to the invention described above; Whether the data layout of judging the original survey wind data of input is that NRG surveys the wind devices output format; If not, judge again that then whether the data layout of original survey wind data is complementary with preset data layout, and make handled according to decision structure; Increase applicability of the present invention, and improved the checkability and the quality of data; And according to each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix and are passed judgment on factor weight matrix; Obtain the wind-resources rank judging results through blurring mapping; Set to pass judgment on the factor and corresponding when respectively passing judgment on the judgment criteria information of the factor like this; Local survey wind actual conditions be can consider, thereby the rationality and science of wind-resources grade classification increased.
Description of drawings
Fig. 1 is the schematic flow sheet of the Method of Wind Resource Assessment of the embodiment of the invention;
Fig. 2 is the structural representation of the wind-resources evaluating system of the embodiment of the invention;
Fig. 3 corrects the structural representation of module one embodiment for the data detection among Fig. 2.
Embodiment
Below in conjunction with embodiment and accompanying drawing the present invention is explained further details, but embodiment of the present invention is not limited thereto.
Embodiment 1
Referring to shown in Figure 1, be the schematic flow sheet of the Method of Wind Resource Assessment of the embodiment of the invention.As shown in Figure 1, the Method of Wind Resource Assessment among this embodiment comprises step:
Step S101: whether the data layout of judging the original survey wind data of input is that NRG surveys the wind devices output format, if not, then gets into step S102; If; Then get into step S103, because original survey wind data multi-source is surveyed wind devices in NRG, the survey wind data that the wind devices of NRG survey simultaneously obtains comprises header file; Can carry out identification through its header file; Adopt this step to be equivalent to open a green channel, survey the wind devices output format, then can directly derive original survey wind data according to its header file if result of determination is NRG to the original survey wind data of NRG survey wind devices;
Step S102: whether the data layout of judging original survey wind data is complementary with preset data layout, if then get into step S103; If not; Then get into step S104, wherein, preset data layout generally can be selected the data layout of common survey wind data for use;
Step S103: original survey wind data is tested, corrected; And obtain assessing the needed various parameters of wind energy resources according to revised survey wind data; Get into step S105, wherein, analyze the various parameters of surveying in the wind data and can adopt prior art; Do not give unnecessary details at this; If original survey wind data need not test, correct, like original survey wind data by other software tests, corrected, also can directly obtain assessing the needed various parameters of wind energy resources according to original survey wind data;
Step S104: the every column data in the original survey wind data defines; Obtain first and survey wind data; Survey wind data to first and test, correct, and obtain assessing the needed various parameters of wind energy resources, get into step S105 according to revised survey wind data; Wherein, If original survey wind data need not test, correct, like original survey wind data by other software tests, corrected, also can directly survey wind data and obtain assessing the needed various parameters of wind energy resources according to first;
Step S105: obtain and respectively pass judgment on the factor and the corresponding judgment criteria information of respectively passing judgment on the factor; And based on each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix and are passed judgment on factor weight matrix; Get into step S106; Wherein, fuzzy relation matrix is also claimed the degree of membership matrix, and passing judgment on the factor and the corresponding judgment criteria of respectively passing judgment on the factor generally is that the user is given based on wind-resources assessment related specifications and local wind regime condition; Pass judgment on annual mean wind speed that the factor comprises each layer height, wind power concentration etc.; Assess related specifications and local wind regime condition because of having taken all factors into consideration wind-resources, thereby have more reasonability, pass judgment on matrix and fuzzy relation matrix and utilize principles of fuzzy mathematics to set up with scientific;
Step S106:, obtain the wind-resources rank judging results through smear out effect according to sticking with paste relational matrix and passing judgment on factor weight matrix.
Scheme according to the invention described above; Whether the data layout of judging the original survey wind data of input is that NRG surveys the wind devices output format; If not, judge again that then whether the data layout of original survey wind data is complementary with preset data layout, and make handled according to decision structure; Increase applicability of the present invention, and improved the checkability and the quality of data; And according to each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix (degree of membership matrix) and judge factor weight matrix; Obtain the wind-resources rank judging results through blurring mapping; Set to pass judgment on the factor and corresponding when respectively passing judgment on the judgment criteria information of the factor like this; Local survey wind actual conditions be can consider, thereby the rationality and science of wind-resources grade classification increased.
Therein among embodiment, original survey wind data is tested, is corrected among the step S103, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data and can comprise the steps:
Step S1031:, get into step S1032 according to the data layout generation checked object of original survey wind data and the test stone of respectively corresponding each checked object;
Step S1032: based on the test stone of checked object and corresponding respectively each checked object to the original survey wind data acquisition assay of testing; Get into step S1033; Wherein, Assay not only can comprise the assay to each test stone, can also comprise the comprehensive test result to all test stones;
Step S1033: reject the invalid data in the assay, and invalid data is replaced with valid data, obtain second and survey wind data, get into step S1034 through interpolation and extension;
Step S1034: based on preset observation data; Surveying wind data with second carries out all the year round for correcting; Obtain the 3rd and survey wind data, wherein, preset observation data is based on the long-term observation data setting of anemometer tower observation data and near representative weather station; It generally is the representative data that can reflect the long-term level of wind field for the 3rd survey wind data that obtains after correcting all the year round that the second survey wind data is carried out, and gets into step S1035;
Step S1035: survey wind data according to the 3rd and obtain assessing the needed various parameters of wind energy resources.
In addition, surveying wind data to first and testing, correcting among the step S104, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data and can specifically comprise the steps:
Step S1041: according to the data layout generation checked object of the first survey wind data and the test stone of respectively corresponding each checked object, entering step S1042;
Step S1042: survey the wind data acquisition assay of testing to first based on the test stone of checked object and corresponding respectively each checked object; Get into step S1043; Wherein, Assay not only can comprise the assay to each test stone, can also comprise the comprehensive test result to all test stones;
Step S1043: reject the invalid data in the assay, and invalid data is replaced with valid data, obtain the 4th and survey wind data, get into step S1044 through interpolation and extension;
Step S1044: based on preset observation data; Surveying wind data with the 4th carries out all the year round for correcting; Obtain the 5th and survey wind data, wherein, preset observation data is based on the long-term observation data setting of anemometer tower observation data and near representative weather station; It generally is the representative data that can reflect the long-term level of wind field for the 5th survey wind data that obtains after correcting all the year round that the 4th survey wind data is carried out, and gets into step S1045;
Step S1045: survey wind data according to the 5th and obtain assessing the needed various parameters of wind energy resources.
According to the scheme in the present embodiment; This enforcement is further perfect to aforesaid embodiment; In the wind-resources evaluation process; Can survey the data layout generation checked object of wind and the test stone of respectively corresponding each checked object according to data layout/first of original survey wind data; And according to checked object with after the test stone of corresponding each checked object is tested and obtained assay original survey wind data/first survey wind data respectively, the data in the assay are carried out interpolation, corrected, further improved the accuracy of wind-resources level evaluation of the present invention.
Wherein, Preset data layout can be position, the type of observation key element, the observation content setting of laying according to instrument for wind measurement; Wherein, The height of the actual instrument for wind measurement of the general main consideration in position that instrument for wind measurement is laid, the type of observation key element comprises wind speed, wind direction, air pressure, temperature or the like, the observation content comprises average, standard deviation, maximal value, minimum value etc.
In addition; Generally to assess related specifications and list of references etc. in the test stone of user's specification test object and corresponding respectively each checked object and when correcting the data in the assay with reference to wind-resources; Therefore; User for ease, Method of Wind Resource Assessment of the present invention can also comprise step: store wind-resources assessment related specifications regulation and list of references, and increase or carry out respective operations during the instruction of deletion related specifications regulation and list of references receiving; Be that the user can or delete some wind-resources assessment related specifications or lists of references according to the actual conditions increase.
Therein among embodiment; The data format based on original survey wind data among the step S1031 generates the test stone check of checked object and respectively corresponding each checked object; Two kinds of approach are generally arranged; One data format that is based on original survey wind data, and the wind-resources that combines to store is assessed the test stone that related specifications generates checked object and respectively corresponding each checked object automatically; The 2nd, obtain the checked object that the user sets and the test stone information of respectively corresponding each checked object, and become the test stone of checked object and corresponding each checked object based on the data format of this information and original survey wind data.These two kinds of approach can the two be selected one of which, also can select two kinds simultaneously.In the specific implementation; The general mode that adopts comprehensive these two kinds of approach; So not only can assess the reasonable correlation test standard between any two that related specifications (as with reference to " wind energy turbine set wind energy resources appraisal procedure " (GB/T18710-2002)) generates each layer wind speed automatically according to wind-resources; Also can be that the user can survey the object of landscape condition setting needs check and set local test stone according to the locality; For example setting is worked as certain one deck wind speed and is occurred what identical numerical value continuously, then thinks mistake etc.
And, adopt the comprehensively mode of these two kinds of approach simultaneously, can assess the test stone that related specifications generates checked object and respectively corresponding each checked object fast and automatically according to wind-resources on the one hand, can be provided with flexibly according to local circumstance again.Adopting this comprehensive mode is in order better to adapt to local wind-resources situation: as (GB/T18710-2002) having stipulated highly hourly average wind speed difference＜2.0m/s of 50m and 30m with reference to " wind energy turbine set wind energy resources appraisal procedure "; But possibly also need check the hourly average wind speed of 70m and 50m poor in the reality; And according to local conditions; Possibly be that mean wind speed difference＜3.0 can both be thought rationally, the mode of therefore general preferred the two combination.
Therein among embodiment; The data format based on the first survey wind data among the step S1041 generates the test stone of checked object and respectively corresponding each checked object; Generally also be that two kinds of approach are arranged; One is based on first data format of surveying wind data, and the wind-resources that combines to store is assessed the test stone that related specifications generates checked object and respectively corresponding each checked object automatically; The 2nd, obtain the checked object that the user sets and the test stone information of respectively corresponding each checked object, and give birth to and become the test stone of checked object and corresponding each checked object based on first data format of surveying wind data based on this information.These two kinds of approach can the two be selected one of which; Also can select two kinds simultaneously; It is similar with two kinds of approach of the test stone of respectively corresponding each checked object with the test stone checked object of corresponding each checked object of difference to generate checked object at the data layout according to original survey wind data among these two kinds of approach and the aforesaid step S1031, just gives unnecessary details no longer one by one with regard to its reason and effect at this.
Therein among embodiment; For the ease of the subscriber checking data; Also, between step S1032 and step S1033, perhaps between S1042 and step S1043, can also comprise the steps: for fear of cause the situation of differentiating error by the test stone check data
Generate chart according to assay, and with the outstanding demonstration of the misdata in the assay, wherein; In the specific implementation, generally be in the interface of judging once more, the gathering of the misdata of checking out except demonstration to the data assay; The mode that also provides chart to combine, and to the outstanding demonstration of the misdata in the assay, the user can check all data by synchronize chart ground easily again; Whether final differentiation assay is correct; In the specific implementation, can comprise that a misdata gathers tabulation, a total data gathers tabulation, a data change procedure figure.When the user gathers in the tabulation when selecting certain misdata in misdata; Can gather in corresponding total data and show the position of these data in conceptual data in the tabulation; And with the outstanding demonstration of various colors (wherein different colours is represented the assay that derives from corresponding test stone), the outstanding mode that shows is not limited to not expecting this mode of color, such as showing wrong way jointly through the chart combination; In the time of like certain misdata of selection in table; Good this data whereabouts that correspondingly marked in the data variation procedure chart, in addition, the user can also select the data in a certain period to amplify in the data variation procedure chart; Check the rationality in the change procedure, also can whether correct with the misdata that this mode checks initial survey to go out.
Embodiment 2
According to the Method of Wind Resource Assessment of the invention described above, the present invention also provides a kind of wind-resources evaluating system, below is elaborated with regard to the embodiment of wind-resources evaluating system of the present invention.This system is based on the C# language and the assembly development technique of .NET framework, is that the organizational structure of guiding provides system good scalability with the component technology, makes system can make up and split its functional module easily.
The structural representation of wind-resources evaluating system embodiment of the present invention has been shown among Fig. 2; The wind-resources evaluating system of this instance comprises that judge module 201, raw data administration module 202, data detection correct module 203, wind regime parameter analysis module 204, fuzzy matrix and set up module 205, wind-resources grade classification module 206, wherein:
Raw data administration module 202; When the data layout that is used for result of determination when judge module 201 and is original survey wind data is not complementary with preset data layout; Every column data in the original survey wind data defines; Obtain first and survey wind data, and survey wind data with first and be transferred to data detection and correct module 203;
Data detection is corrected module 203; The data layout that is used for result of determination when said judge module 201 and is original survey wind data is that NRG surveys the wind devices output format; When the data layout of perhaps original survey wind data is complementary with preset data layout; Original survey wind data is tested, corrected, and give wind regime parameter analysis module, also be used for when receiving the first survey wind data revised data transmission; Survey wind data to first and test, correct, and be transferred to wind regime parameter analysis module 204 according to revised survey wind data;
Wind regime parameter analysis module 204; Be used for correcting the revised survey wind data that the module transmission comes when receiving data detection; Obtain assessing the needed various parameters of wind energy resources according to revised survey wind data, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module 205, wherein; Analyze the various parameters of surveying in the wind data and can adopt prior art, do not give unnecessary details at this;
Fuzzy matrix is set up module 205; Be used for respectively passing judgment on the factor and the corresponding judgment criteria information of respectively passing judgment on the factor receiving to obtain; And based on each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix and are passed judgment on factor weight matrix; And with fuzzy relation matrix with pass judgment on factor weight matrix and be transferred to wind-resources grade classification module 206; Wherein, fuzzy relation matrix is also claimed the degree of membership matrix, and passing judgment on the factor and the corresponding judgment criteria of respectively passing judgment on the factor generally is that the user is given based on wind-resources assessment related specifications and local wind regime condition; Pass judgment on annual mean wind speed that the factor comprises each layer height, wind power concentration etc.; Assess related specifications and local wind regime condition because of having taken all factors into consideration wind-resources, thereby have more reasonability, pass judgment on matrix and fuzzy relation matrix and utilize principles of fuzzy mathematics to set up with scientific;
Wind-resources grade classification module 206 is used for obtaining the wind-resources rank judging results according to fuzzy relation matrix and judge factor weight matrix through smear out effect.
Scheme according to the invention described above; Whether the data layout of judging the original survey wind data of input is that NRG surveys the wind devices output format; If not, judge again that then whether the data layout of original survey wind data is complementary with preset data layout, and make handled according to decision structure; Increase applicability of the present invention, and improved the checkability and the quality of data; And according to each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix and are passed judgment on factor weight matrix; Obtain the wind-resources rank judging results through smear out effect; Set to pass judgment on the factor and corresponding when respectively passing judgment on the judgment criteria information of the factor like this; Consider local survey wind actual conditions, thereby increased the rationality and science of wind-resources grade classification.
Among embodiment, as shown in Figure 2 therein, above-mentioned data detection is corrected module 203 can comprise that the first data detection unit 301, the first data interpolation unit 302, first data correct unit 303, wherein:
The first data detection unit 301; Be used for generating the test stone of checked object and respectively corresponding each checked object based on the data format of original survey wind data; And based on the test stone of checked object and corresponding respectively each checked object to the original survey wind data acquisition assay of testing, and the assay that obtains is transferred to the first data interpolation unit 302;
The first data interpolation unit 302, the invalid data that is used for rejecting assay, and invalid data is replaced with valid data through interpolation and extension obtains second and surveys wind data, and surveys wind data with second and be transferred to first data and correct unit 303;
First data are corrected unit 303; Be used for according to preset observation data, survey wind data with second and carry out all the year round generation and correct, obtain the 3rd and survey wind data; And survey wind data with the 3rd and be transferred to wind regime parameter analysis module 204; Wherein, preset observation data is according to the long-term observation data setting of anemometer tower observation data and near representative weather station, with second survey that wind data carries out that generation all the year round obtains after correcting the 3rd to survey wind data generally be the representative data that can reflect the long-term level of wind field;
Accordingly, wind regime parameter analysis module 204 is surveyed wind data according to the 3rd and is obtained assessing the needed various parameters of wind energy resources, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module 205;
As shown in Figure 2; Above-mentioned data detection is corrected module 203 can comprise also or comprise simultaneously that the second data detection unit 304, the second data interpolation unit 305, second data correct unit 306; Wherein, What Fig. 2 provided is a kind of preferred implementation; But also can include only the aforementioned first data detection unit 301, the first data interpolation unit 302, first data and correct unit 303, perhaps include only the second data detection unit 304, the second data interpolation unit 305, second data and correct unit 306, wherein:
The second data detection unit 301; Be used for generating the test stone of checked object and respectively corresponding each checked object based on first data format of surveying wind data; And survey the wind data acquisition assay of testing to second, and the assay that obtains is transferred to the second data interpolation unit 302 based on the test stone of checked object and corresponding respectively each checked object;
The second data interpolation unit 302, the invalid data that is used for rejecting assay, and invalid data is replaced with valid data through interpolation and extension obtains the 4th and surveys wind data, and surveys wind data with the 4th and be transferred to first data and correct unit 303;
Second data are corrected unit 303; Be used for according to preset observation data, survey wind data with the 4th and carry out all the year round generation and correct, obtain the 5th and survey wind data; And survey wind data with the 5th and be transferred to wind regime parameter analysis module 204; Wherein, preset observation data is according to the long-term observation data setting of anemometer tower observation data and near representative weather station, with the 4th survey that wind data carries out that generation all the year round obtains after correcting the 5th to survey wind data generally be the representative data that can reflect the long-term level of wind field;
Accordingly, wind regime parameter analysis module 204 is surveyed wind data according to the 5th and is obtained assessing the needed various parameters of wind energy resources, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module 205.
According to the scheme in the present embodiment; Survey the data layout generation checked object of wind and the test stone number of respectively corresponding each checked object according to data layout/first of original survey wind data; And according to corresponding checked object with after the test stone of corresponding each checked object is tested and obtained assay original survey wind data/first survey wind data respectively; Data in the assay are carried out interpolation, corrected, the further like this accuracy that has improved wind-resources level evaluation of the present invention.
Wherein, Said data layout can be position, the type of observation key element, the observation content setting of laying according to instrument for wind measurement; Wherein, The height of the actual instrument for wind measurement of the general main consideration in position that instrument for wind measurement is laid, the type of observation key element comprises wind speed, wind direction, air pressure, temperature or the like, the observation content comprises average, standard deviation, maximal value, minimum value etc.;
In addition; Generally to assess related specifications and list of references etc. in the test stone of user's specification test object and corresponding respectively each checked object and when correcting the data in the assay with reference to wind-resources; Therefore, user for ease, wind-resources evaluating system of the present invention can also comprise memory module; Be used to store wind-resources assessment related specifications regulation and list of references, and when receiving the instruction that increases or delete related specifications regulation and list of references, carry out respective operations; Be that the user can or delete some wind-resources assessment related specifications or lists of references according to the actual conditions increase.
Therein among embodiment; The first data detection unit 201 can generate the test stone of checked object and respectively corresponding each checked object automatically based on the standard in the wind-resources assessment related specifications of the data format of the data of original survey wind and storage; Also can obtain the checked object and the test stone information of corresponding each checked object respectively earlier, generate the test stone of checked object and corresponding each checked object again based on the data format of the data of the test stone information of the checked object that obtains, respectively corresponding each checked object and original survey wind; These two kinds of approach can the two be selected one of which, also can be used in combination dual mode simultaneously.In the specific implementation; General these two kinds of modes that approach is comprehensive that adopt; So not only can assess the reasonable correlation test standard between any two that related specifications (as with reference to " wind energy turbine set wind energy resources appraisal procedure " (GB/T18710-2002)) generates each layer wind speed automatically according to wind-resources; Also can be that the object that the user surveys the check of landscape condition setting needs according to the locality is also set local test stone, for example set when certain one deck wind speed is continuous how many identical numerical value to occur, then think mistake etc.
The first data detection unit 201 adopts two kinds of approach comprehensive methods, can assess the test stone that related specifications generates checked object and respectively corresponding each checked object automatically according to wind-resources on the one hand, can be provided with flexibly according to local circumstance again.Adopt this mode be because; As (GB/T18710-2002) having stipulated highly hourly average wind speed difference＜2.0m/s of 50m and 20m with reference to " wind energy turbine set wind energy resources appraisal procedure "; But possibly need the hourly average wind speed of check 70m and 50m poor in the reality; And according to local conditions, possibly be that mean wind speed difference＜3.0 can both be thought rationally, the mode of therefore general preferred the two combination.
The phase analogy; The test stone that standard in the wind-resources assessment related specifications of data layout and storage of data of wind generates checked object and respectively corresponding each checked object automatically also can be surveyed according to first in the second data detection unit 204; Perhaps also can first checked object and the test stone information of respectively corresponding each checked object; And according to the checked object that obtains, respectively the test stone information and first of corresponding each checked object data layout of surveying the data of wind generates the test stone of checked object and corresponding each checked object; These two kinds of approach also can the two be selected one of which; Perhaps also can be used in combination dual mode simultaneously, its advantage and reason are similar with two kinds of approach that the first data detection unit 201 adopts, and no longer give unnecessary details at this.
Among embodiment, data checking module can comprise the assay display unit therein, is used for generating chart according to assay; And, in the specific implementation, generally be in the interface of judging once more to the data assay with the outstanding demonstration in chart of the misdata in the assay; The gathering of the misdata of checking out except demonstration, the mode that also provides chart to combine, and show the misdata in the assay is outstanding; The user can check all data by synchronize chart ground easily again, and whether correct, in the specific implementation if finally differentiating assay; Chart can comprise that a misdata gathers tabulation, a total data gathers tabulation, and a data change procedure figure is when the user gathers in the tabulation when selecting certain misdata in misdata; Can gather in corresponding total data and show the position of these data in conceptual data in the tabulation; And with the outstanding demonstration of various colors (wherein different colours is represented the assay that derives from corresponding test stone), the outstanding mode that shows is not limited to not expecting this mode of color, such as showing wrong way jointly through the chart combination; In the time of like certain misdata of selection in table; Good this data whereabouts that correspondingly marked in the data variation procedure chart, in addition, the user can also select the data in a certain period to amplify in the data variation procedure chart; Check the rationality in the change procedure, also can whether correct with the misdata that this mode checks initial survey to go out.
The above embodiment has only expressed several kinds of embodiments of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the present invention's design, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with accompanying claims.
Claims (10)
1. a Method of Wind Resource Assessment is characterized in that, comprises the steps:
Whether the data layout of judging the original survey wind data of input is that NRG surveys the wind devices output format, if not, judges then whether the data layout of original survey wind data is complementary with preset data layout again;
If be complementary, perhaps, original survey wind data surveys the wind devices output format if being NRG, and then original survey wind data is tested, corrected, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data;
If be not complementary, then the every column data in the original survey wind data is defined, obtain first and survey wind data, survey wind data to first and test, correct, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data;
Obtain and respectively pass judgment on the factor and the corresponding judgment criteria information of respectively passing judgment on the factor, and set up fuzzy relation matrix and pass judgment on factor weight matrix based on each judge factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor;
According to fuzzy relation matrix and judge factor weight matrix, obtain the wind-resources rank judging results through smear out effect.
2. Method of Wind Resource Assessment according to claim 1 is characterized in that:
Said original survey wind data is tested, corrected, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data and comprise the steps:
Generate the test stone of checked object and respectively corresponding each checked object based on the data format of original survey wind data;
Based on the test stone of checked object and corresponding respectively each checked object to the original survey wind data acquisition assay of testing;
Reject the invalid data in the assay, and invalid data is replaced with valid data, obtain second and survey wind data through interpolation and extension;
Survey wind data according to preset observation data with second and carry out all the year round generation and correct, obtain the 3rd and survey wind data;
Survey wind data according to the 3rd and obtain assessing the needed various parameters of wind energy resources;
Or/with
Saidly survey wind data to first and test, correct, and obtain assessing the needed various parameters of wind energy resources according to revised survey wind data and comprise the steps:
Generate the test stone of checked object and respectively corresponding each checked object based on first data format of surveying wind;
Survey the wind data acquisition assay of testing based on the test stone of checked object and corresponding respectively each checked object to first;
Reject the invalid data in the assay, and invalid data is replaced with valid data, obtain the 4th and survey wind data through interpolation and extension;
Survey wind data according to preset observation data with the 4th and carry out all the year round generation and correct, obtain the 5th and survey wind data;
Survey wind data according to the 5th and obtain assessing the needed various parameters of wind energy resources.
3. Method of Wind Resource Assessment according to claim 1 and 2 is characterized in that:
Said preset data layout is according to the type of the position of instrument for wind measurement laying, observation key element, observes content setting;
Perhaps/with
Also comprise step: store wind-resources assessment related specifications regulation and list of references, and when receiving the instruction that increases or delete related specifications regulation and list of references, carry out respective operations.
4. Method of Wind Resource Assessment according to claim 3 is characterized in that:
Said data format based on original survey wind data generates checked object and comprises step with the test stone of corresponding each checked object respectively: generate the checked object and the test stone of each checked object of correspondence respectively automatically based on the standard in the wind-resources assessment related specifications of the data format of the data of original survey wind and storage; Perhaps comprise step: obtain the checked object and the test stone information of corresponding each checked object respectively, and generate the test stone of checked object and corresponding each checked object based on the data format of the data of the test stone information of the checked object that obtains, respectively corresponding each checked object and original survey wind;
Or/with
Said according to first survey wind data data layout generate checked object and comprise step with the test stone of corresponding each checked object respectively: survey standard in the wind-resources assessment related specifications of data layout and storage of data of wind according to first and generate the checked object and the test stone of each checked object of correspondence respectively automatically; Perhaps comprise step: obtain the checked object and the test stone information of corresponding each checked object respectively, and generate the test stone of checked object and corresponding each checked object according to the data layout that the test stone information and first of the checked object that obtains, respectively corresponding each checked object is surveyed the data of wind.
5. according to claim 2 or 4 described Method of Wind Resource Assessment; It is characterized in that; Said test stone according to checked object and corresponding respectively each checked object original survey wind data is tested obtain assay after; Invalid data in the said rejecting assay, and invalid data is replaced with valid data through interpolation and extension, obtain second and survey before the wind data; Perhaps said test stone according to checked object and corresponding respectively each checked object to first survey wind data test obtain assay after; Invalid data in the said rejecting assay, and invalid data is replaced with valid data through interpolation and extension obtains the 4th and surveys and also comprise step before the wind data:
Generate chart according to assay, and with the outstanding demonstration in chart of the misdata in the assay.
6. a wind-resources evaluating system is characterized in that, comprising:
Judge module is used to judge whether the data layout of the original survey wind data of input is that NRG surveys the wind devices output format, if not, is used to also then judge whether the data layout of original survey wind data is complementary with preset data layout;
The raw data administration module; When the data layout that is used for result of determination when said judge module and is original survey wind data is not complementary with preset data layout; Every column data in the original survey wind data defines; Obtain first and survey wind data, and survey wind data with first and be transferred to data detection and correct module;
Data detection is corrected module; The data layout that is used for result of determination when said judge module and is original survey wind data is that NRG surveys the wind devices output format; When the data layout of perhaps original survey wind data is complementary with preset data layout; Original survey wind data is tested, corrected, and revised survey wind data is transferred to wind regime parameter analysis module, also be used for when receiving the first survey wind data; Survey wind data to first and test, correct, and revised survey wind data is transferred to wind regime parameter analysis module;
Wind regime parameter analysis module is used for obtaining assessing the needed various parameters of wind energy resources according to revised survey wind data when receiving revised survey wind data, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module;
Fuzzy matrix is set up module; Be used for respectively passing judgment on the factor and the corresponding judgment criteria information of respectively passing judgment on the factor receiving to obtain; And based on each pass judgment on factor, corresponding judgment criteria information and the needed various parameters of assessment wind energy resources of respectively passing judgment on the factor are set up fuzzy relation matrix and are passed judgment on factor weight matrix, and with fuzzy relation matrix with pass judgment on factor weight matrix and be transferred to wind-resources grade classification module;
Wind-resources grade classification module is used for obtaining the wind-resources rank judging results according to fuzzy relation matrix and judge factor weight matrix through smear out effect.
7. wind-resources evaluating system according to claim 6 is characterized in that:
Said data detection is corrected module and is comprised that the first data detection unit, the first data interpolation unit, first data correct the unit, wherein:
The first data detection unit; Be used for generating the test stone of checked object and respectively corresponding each checked object based on the data format of original survey wind data; And based on the test stone of checked object and corresponding respectively each checked object to the original survey wind data acquisition assay of testing, and the assay that obtains is transferred to the first data interpolation unit;
The first data interpolation unit, the invalid data that is used for rejecting assay, and invalid data is replaced with valid data through interpolation and extension obtains second and surveys wind data, and will obtain second survey wind data and be transferred to first data and correct the unit;
First data are corrected the unit, are used for according to preset observation data, survey wind data with second and carry out all the year round generation and correct, and obtain the 3rd and survey wind data, and survey wind data with the 3rd and be transferred to wind regime parameter analysis module;
Wind regime parameter analysis module is surveyed wind data according to the 3rd and is obtained assessing the needed various parameters of wind energy resources, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module;
Or/with
Said data detection is corrected module and is comprised that the second data detection unit, the second data interpolation unit, second data correct the unit, wherein:
The second data detection unit; Be used for generating the test stone of checked object and respectively corresponding each checked object based on first data format of surveying wind; And survey the wind data acquisition assay of testing to first, and the assay that obtains is transferred to the second data interpolation unit based on the test stone of checked object and corresponding respectively each checked object;
The second data interpolation unit, the invalid data that is used for rejecting assay, and invalid data is replaced with valid data through interpolation and extension obtains the 4th and surveys wind data, and will obtain the 4th survey wind data and be transferred to second data and correct the unit;
Second data are corrected the unit, are used for according to preset observation data, survey wind data with the 4th and carry out all the year round generation and correct, and obtain the 5th and survey wind data, and survey wind data with the 5th and be transferred to wind regime parameter analysis module;
Wind regime parameter analysis module is surveyed wind data according to the 3rd and is obtained assessing the needed various parameters of wind energy resources, and will assess the needed various parameters of wind energy resources and be transferred to fuzzy matrix and set up module.
8. according to claim 6 or 7 described wind-resources evaluating systems, it is characterized in that:
Said preset data layout is according to the type of the position of instrument for wind measurement laying, observation key element, observes content setting;
Or/with
Also comprise memory module, be used to store wind-resources assessment related specifications regulation and list of references, and when receiving the instruction that increases or delete related specifications regulation and list of references, carry out respective operations.
9. wind-resources evaluating system according to claim 8 is characterized in that:
The first data detection unit generates the test stone of checked object and respectively corresponding each checked object automatically based on the standard in the wind-resources assessment related specifications of the data format of the data of original survey wind and storage; Perhaps the first data detection unit obtains the checked object and the test stone information of corresponding each checked object respectively, and generates the test stone of checked object and corresponding each checked object based on the data format of the data of the test stone information of the checked object that obtains, respectively corresponding each checked object and original survey wind;
Or/with
The test stone that standard in the wind-resources assessment related specifications of data layout and storage of data of wind generates checked object and respectively corresponding each checked object is automatically surveyed according to first in the second data detection unit; Perhaps the second data detection unit obtains the checked object and the test stone information of corresponding each checked object respectively, and generates the test stone of checked object and corresponding each checked object according to the data layout that the test stone information and first of the checked object that obtains, respectively corresponding each checked object is surveyed the data of wind.
10. according to claim 7 or 9 described Method of Wind Resource Assessment, it is characterized in that:
Said data detection is corrected module and is also comprised the assay display unit, is used for generating chart according to assay, and with the outstanding demonstration in chart of the misdata in the assay.
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