CN111597689A - Multi-target optimization robust collaborative design method for low-wind-speed wind turbine generator transmission chain - Google Patents
Multi-target optimization robust collaborative design method for low-wind-speed wind turbine generator transmission chain Download PDFInfo
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Abstract
The invention discloses a multi-target optimization robust collaborative design method for a low wind speed wind turbine generator transmission chain, belonging to the field of wind power generation; the key point of the technical scheme is that the method comprises the following steps: firstly, establishing an evaluation standard of a transmission chain system of a low-wind-speed wind turbine; making selection indexes and evaluation elements related to the transmission chain and the components; setting the weight of each design evaluation factor; hiring experts and setting influence weight; each expert scores each scheme; calculating the weighted average value of each scheme; seventhly, comparing to obtain the design scheme of the transmission chain with the highest score; and eighthly, obtaining an optimal design scheme of the transmission chain of the low-wind-speed wind turbine generator. The invention solves the problems that the low-wind-speed wind turbine generator set has higher requirements on the transmission chain and the optimal design scheme of the transmission chain is not easy to determine.
Description
Technical Field
The invention relates to the field of wind power generation, in particular to a multi-target optimization robust collaborative design method for a low wind speed wind turbine generator transmission chain.
Background
With the rapid development of wind power spanning in the last decade, the development of wind power in rich areas and richer areas of wind energy resources is saturated, and some rich areas of wind energy resources can not be constructed for a long time because the construction of a matched power grid can not keep pace; then, the development of low wind speed resources which account for about 68% of the area of the national wind energy resource region becomes the main direction of wind power development in China; and the low wind speed resources in China are mainly distributed in the middle east and south regions, so that the wind power generating device not only has the climatic characteristics of high corrosion, high temperature and humidity, cold and high altitude, but also has low wind speed and large turbulence and obvious transient change, and is also positioned in mountains and hilly zones with complex terrain.
Compared with other wind turbine generators, the low-wind-speed wind turbine generator has the advantages that the rated power of the generator is large, the diameter of a wind wheel is large, the height of a tower barrel is high, and the wind turbine generator is required to have the characteristics of high reliability, high efficiency, high torque density, low electricity cost and high maintainability; the wind turbine transmission chain is used as the most main core system of the wind turbine, and the wind turbine has the overall technical characteristics of the most powerful system; in order to better match and meet the multi-target comprehensive optimal requirements of the low-wind-speed wind turbine generator, the invention needs to invent a multi-target optimization robust collaborative design method of a low-wind-speed wind turbine generator transmission chain.
In the design period of a scheme, the traditional design usually only seeks single target optimization, but cannot ensure the optimal design of multi-target overall effect; manufacturing a prototype according to a design scheme, then correcting through a feedback design after a bench test, consuming time and materials, consuming labor and causing a long period, and the test is inevitable to have the contingency of an individual case.
Disclosure of Invention
The invention aims to provide a multi-target optimization robust collaborative design method for a low-wind-speed wind turbine generator transmission chain, which can better match and meet the multi-target comprehensive optimal design requirement of the low-wind-speed wind turbine generator, so that the low-wind-speed wind turbine generator has the characteristics of high reliability, low efficiency, torque density, low electricity cost, easy maintenance cost and strong easy maintainability.
The above object of the present invention is achieved by the following technical solutions: a multi-target optimization robust collaborative design method for a low wind speed wind turbine transmission chain comprises the following steps:
firstly, establishing an evaluation standard of a transmission chain system of a low-wind-speed wind turbine;
making selection indexes and evaluation elements related to the transmission chain and the components;
setting the weight of each design evaluation factor;
hiring experts and setting influence weight;
each expert scores each scheme;
calculating the weighted average value of each scheme;
seventhly, comparing to obtain the design scheme of the transmission chain with the highest score;
and eighthly, obtaining an optimal design scheme of the transmission chain of the low-wind-speed wind turbine generator.
By adopting the technical scheme, through the steps, all parts in the low-wind-speed wind turbine transmission chain can be combined to form multiple design schemes, then all the schemes are graded, finally the final grades of all the schemes are compared and selected, and the scheme with the highest grade is finally selected, so that the finally obtained scheme can be better matched and meet the multi-target comprehensive optimal design requirement of the low-wind-speed wind turbine, the iteration period can be greatly shortened in the design stage, the whole and the parts of the low-wind-speed fan transmission chain and the mutual cooperation among the parts are considered, the low-wind-speed wind turbine transmission chain is more stable in operation, and the low-wind-speed wind turbine transmission chain has the characteristics of high reliability, low efficiency torque density, low electric cost, easy maintenance cost and strong easy maintenance.
The invention is further configured to: in the second step, the selected indexes, the evaluation elements corresponding to the indexes and the weights corresponding to the elements are as follows:
designing a system: design capability d: u. of1Reliability r: u. of2External load el: u. of3Vibration noise vn: u. of4And insulation ig: u. of5And transmission efficiency te: u. of6Are connected with each otherAnd (2) ic: u. of7And home-made replacement lr: u. of8；
Size and weight: external dimension s: u. of9And mass m: u. of10；
Assembling and installing: assembling fs in a workshop: u. of11Or wind farm installation wd: u. of12；
Operation and maintenance service: sealing property ls: u. of13Lubricating state lc: u. of14Maintenance cycle mp: u. of15And repairing and replacing rr: u. of16；
Cycle cost: purchase cost pc: u. of17Assembly cost ac: u. of18Transportation cost tc: u. of19Hoisting cost hc: u. of20And operation and maintenance cost oc: u. of21And the maintenance replacement cost rc: u. of22。
By adopting the technical scheme, different indexes correspond to different elements, so that the scores of the different indexes are more accurate, and the scores of all schemes are more in line with actual requirements; different factors have different influences on the index, so that each factor has different weight, different weights are determined for different factors, and each factor is represented by different letter symbols, so that the use of subsequent operation is facilitated, and the operation efficiency is improved.
The invention is further configured to: the drive chain and component design evaluation elements are as follows:
x＝[d,r,el,vn，ig，te，ic，lr,s,m,fs,wd,ls,lc,mp,rr,pc,ac,tc,hc,oc,rc]。
the invention is further configured to: the scoring result of each element is as follows:
xg＝[grade1，grade2，grade3，grade4，grade5，grade6，grade7，grade8， grade9，grade10，grade11，grade12，grade13，grade14，grade15，grade16， grade17，grade18，grade19，grade20，grade21，grade22]。
the invention is further configured to: the weight of each item of design evaluation element is as follows:
u＝[u1，u2，…，u22]T，
by adopting the technical scheme, the weight of each element is determined through the formula, and the weight is convenient to calculate.
The invention is further configured to: the design of the transmission chain has m schemes, and each scheme has n experts for grading, so that (m multiplied by n) grading results are counted;
let the influence weight of a certain expert score be recorded as yj(ii) a Then the scoring result of a certain expert in a certain scheme is as follows:
Cij＝yjxgiju
wherein the content of the first and second substances,
final score of a certain scheme CiThe score of a certain expert is obtained by a weighted average method, and the formula is as follows:
by adopting the technical scheme, the scores of all the schemes are conveniently calculated, the weights of the expert scores and the expert scores are combined for calculation, so that the obtained scores of the schemes are more objective, the subjective influence is reduced, and the obtained schemes are more accurate.
The invention is further configured to: and the influence weight of the expert scoring is formulated according to the certificate level of the expert.
By adopting the technical scheme, the weight of the grading influence of the expert is formulated according to the certificate grade of the expert, so that the grading of the expert is more objective, and the influence of the subjective evaluation on the grading is reduced.
The invention is further configured to: the scheme T of the m schemes is a scheme with the maximum scoring result: t ═ max (C)1，C2，…，Ci-1，Ci)。
By adopting the technical scheme and the formula, the scheme of the scoring maximum value in a plurality of schemes can be obtained, and the optimal design scheme can be conveniently selected according to the actual situation.
In conclusion, the invention has the following beneficial effects:
1. according to the steps of the design method, different schemes composed of all parts in the transmission chain can be scored, then the scoring of all the schemes is weighted and calculated according to different mathematical formula models, objective and accurate scheme scoring is obtained, and then the most available scheme is selected according to the maximum value of the scoring, so that the low-wind-speed wind turbine generator has the characteristics of high reliability, low efficiency, torque density, low electricity cost, easy maintenance cost and strong maintainability;
2. the design method can better match and meet the multi-target comprehensive optimal design requirement of the low-wind-speed motor set, greatly shortens the iteration cycle in the design stage, and considers the mutual cooperation of the whole low-wind-speed motor transmission chain, the components and the parts;
3. the design method can reduce the problem that the consumed time consumable material in the experimental process results in a long period, avoids the accident that the experiment exists, can avoid the accident that the experimental process produces to the beating degree, and then makes the designed wind turbine generator system transmission chain system accord with the actual environment better.
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Fig. 1 is a block flow diagram of an embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Example (b): a multi-target optimization robust collaborative design method for a low wind speed wind turbine transmission chain is shown in figure 1 and comprises the following steps:
firstly, establishing an evaluation standard of a transmission chain system of a low-wind-speed wind turbine;
making selection indexes and evaluation elements related to the transmission chain and the components;
setting the weight of each design evaluation factor;
hiring experts and setting influence weight;
each expert scores each scheme;
calculating the weighted average value of each scheme;
seventhly, comparing to obtain the design scheme of the transmission chain with the highest score;
and eighthly, obtaining an optimal design scheme of the transmission chain of the low-wind-speed wind turbine generator.
According to the steps, different schemes formed by all parts of the transmission chain can be scored, and the scoring is carried out by an expert according to the whole wind turbine generator, so that the scoring is carried out according to the whole scheme instead of a single part, and the wind turbine generator selected according to the scoring has the characteristics of high reliability, low efficiency, torque density, low power cost, easy maintenance cost and strong maintainability.
The technology adopts a multi-target optimization robust collaborative design method, and through the selection of the design, the size and the weight, the assembly and the installation, the operation and maintenance service and the period cost of a transmission chain system of the wind turbine generator, a mathematical model is established, and an evaluation function method is adopted to select an optimal scheme from the evaluation standards with high reliability, high efficiency, high torque density, low electric cost and easy maintenance.
The main components of the low wind speed motor set transmission chain are a main shaft, a main bearing, a gear box, a coupling bearing and a generator; selecting design selection indexes of the transmission chain and each component, selecting each evaluation element in the indexes, and symbols and weights corresponding to each evaluation element as follows:
drive chain and component design evaluation factors:
x＝[d,r,el,vn，ig，te，ic，lr,s,m,fs,wd,ls,lc,mp,rr,pc,ac,tc,hc,oc,rc]。
scoring each design evaluation element by 5 points; the range is 0-5 points, which respectively represent: poor, general, better, very good, the results of the design evaluation factor can be:
xg＝[grade1，grade2，grade3，grade4，grade5，grade6，grade7，grade8， grade9，grade10，grade11，grade12，grade13，grade14，grade15，grade16， grade17，grade18，grade19，grade20，grade21，grade22]。
weight of each item of design evaluation element:
u＝[u1，u2，…，u22]T，
through the formula, the weights of all evaluation elements in all the selected indexes are determined, and the sum of all the weights is equal to 1, so that the condition that the sum of the weights exceeds the range is avoided, and the influence on subsequent calculation is avoided.
The design of the transmission chain has m schemes, and each scheme has n experts for grading, so that (m multiplied by n) grading results are obtained in total;
let the influence weight of a certain expert score be recorded as yj(ii) a Then the scoring result of a certain expert in a certain scheme is as follows:
Cij＝yjxgiju
wherein the content of the first and second substances,
final score of a certain scheme CiThe score of a certain expert is obtained by a weighted average method, and the formula is as follows:
and the weight ratio of the experts is set according to the professional certificate grades of all the experts, so that the influence of subjective factors on the grading result is reduced.
The final solution T of m solutions is the solution with the maximum score:
T＝max(C1，C2，…，Ci-1，Ci)。
the optimal scheme is determined through the formula, and then the collaborative design scheme of the low wind speed wind turbine transmission chain is determined, so that the low wind speed wind turbine transmission chain has the characteristics of high reliability, high efficiency, high torque density, low electric cost and strong maintainability.
The multi-target optimization robust collaborative design method for the low-wind-speed motor set transmission chain not only can better match and meet the multi-target comprehensive optimal design requirement of the low-wind-speed motor set, greatly shortens the iteration cycle in the design stage, but also considers the whole low-wind-speed fan transmission chain, components and mutual collaboration among the components; the design scheme of the wind turbine generator is more scientific.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (8)
1. A multi-target optimization robust collaborative design method for a low wind speed wind turbine transmission chain is characterized by comprising the following steps: the method comprises the following steps:
firstly, establishing an evaluation standard of a transmission chain system of a low-wind-speed wind turbine;
making selection indexes and evaluation elements related to the transmission chain and the components;
setting the weight of each design evaluation factor;
hiring experts and setting influence weight;
each expert scores each scheme;
calculating the weighted average value of each scheme;
seventhly, comparing to obtain the design scheme of the transmission chain with the highest score;
and eighthly, obtaining an optimal design scheme of the transmission chain of the low-wind-speed wind turbine generator.
2. The multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 1, wherein in the step ②, indexes, evaluation elements corresponding to the indexes and weights corresponding to the elements are selected as follows, the system design is carried out, and the design capability d: u1Reliability r: u. of2External load el: u. of3Vibration noise vn: u. of4And insulation ig: u. of5And transmission efficiency te: u. of6Interactive ic: u. of7And home-made replacement lr: u. of8；
Size and weight: external dimension s: u. of9And mass m: u. of10；
Assembling and installing: assembling fs in a workshop: u. of11Or wind farm installation wd: u. of12；
Operation and maintenance service: sealing property ls: u. of13Lubricating state lc: u. of14Maintenance cycle mp: u. of15And repairing and replacing rr: u. of16；
Cycle cost: purchase cost pc: u. of17Assembly cost ac: u. of18Transportation cost tc: u. of19Hoisting cost hc: u. of20And operation and maintenance cost oc: u. of21And the maintenance replacement cost rc: u. of22。
3. The multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 2, is characterized in that: the drive chain and component design evaluation elements are as follows:
x＝[d,r,el,vn，ig，te，ic，lr,s,m,fs,wd,ls,lc,mp,rr,pc,ac,tc,hc,oc,rc]。
4. the multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 2, is characterized in that: the scoring result of each element is as follows:
xg＝[grade1，grade2，grade3，grade4，grade5，grade6，grade7，grade8，grade9，grade10，grade11，grade12，grade13，grade14，grade15，grade16，grade17，grade18，grade19，grade20，grade21，grade22]。
5. the multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 2, is characterized in that: the weight of each item of design evaluation element is as follows:
u＝[u1，u2，…，u22]T，
6. the multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 5, characterized in that: the design of the transmission chain has m schemes, and each scheme has n experts for grading, so that (m multiplied by n) grading results are counted;
let the influence weight of a certain expert score be recorded as yj(ii) a Then the scoring result of a certain expert in a certain scheme is as follows:
Cij＝yjxgiju
wherein the content of the first and second substances,
final score of a certain scheme CiThe score of a certain expert is obtained by a weighted average method, and the formula is as follows:
7. the multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 6, characterized in that: and the influence weight of the expert scoring is formulated according to the professional certificate level of the expert.
8. The multi-target optimization robust collaborative design method for the transmission chain of the low wind speed wind turbine generator set according to claim 6, characterized in that: the scheme T of the m schemes is a scheme with the maximum scoring result:
T＝max(C1，C2，…，Ci-1，Ci)。
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Application publication date: 20200828 |