CN109087031A - Comprehensive energy efficiency appraisal procedure based on the analysis of wind power plant multidimensional index - Google Patents
Comprehensive energy efficiency appraisal procedure based on the analysis of wind power plant multidimensional index Download PDFInfo
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Abstract
The invention discloses the comprehensive energy efficiency appraisal procedures analyzed based on wind power plant multidimensional index, comprising: is standardized to each index value in original index matrix P, the index matrix X after being standardized；Acquire the correlation matrix of index matrix X after standardizing；Acquire matrix R eigenvalue λ and corresponding orthogonalized eigenvectors B；Calculate the contribution rate of each eigenvalue λ, and it is combining standardized after index matrix obtain main ingredient；According to contribution rate and main ingredient, comprehensive energy efficiency evaluation function is determined, each index value after standardization is substituted into comprehensive energy efficiency evaluation function, that is, can determine that wind power plant evaluates ranking.Comprehensive energy efficiency appraisal procedure based on the analysis of wind power plant multidimensional index of the invention, gives the method that can be applied to the assessment of wind power plant comprehensive energy efficiency.This method inputs no longer using single index as Appreciation gist using multidimensional index as evaluation, and the contribution rate and main composition load to each index carry out comprehensive analysis, provides the comprehensive energy efficiency assessment result of wind power plant.
Description
Technical field
The present invention relates to wind power plant energy efficiency evaluating methods, and in particular to a kind of synthesis based on the analysis of wind power plant multidimensional index
Energy efficiency evaluating method belongs to technical field of power systems.
Background technique
The high speed sustainable development of economic construction of China in recent years, to solve the problems, such as that conventional energy resource increasingly lacks, wind energy, too
The generations of electricity by new energy such as positive energy are rapidly developed.As wind-powered electricity generation industry is developed from scale to lean, wind power plant power generation efficiency
Assessment is increasingly taken seriously.Wind power plant power generation efficiency can be reflected by multiple indexs, such as the energy consumption of wind power plant refers to
Mark, the meteorological resources index of wind power plant, the availability of Wind turbines etc..It, can be by during the operation management of wind power plant
System is sorted according to each Index Establishment to reflect that the efficiency of each wind power plant is horizontal, as the sequence of effective wind speed, blower availability are arranged
Sequence, blower are equivalent to utilize hourage sequence etc..
But the ranking results of above-mentioned each index are not often consistent, such as the horizontal low wind-powered electricity generation field energy of blower availability
Consumption may not be high, it is difficult to carry out unified Energy Efficiency Analysis to wind power plant on the whole.Therefore it needs to establish a kind of new wind-powered electricity generation field energy
Evaluation method is imitated, this method inputs no longer using single index as Appreciation gist using multidimensional index as evaluation, to each
The contribution rate of index and main composition load carry out comprehensive analysis, provide the comprehensive energy efficiency assessment result of wind power plant.
Summary of the invention
Technical purpose of the invention is to overcome the problems of the prior art, provides a kind of wind power plant comprehensive energy efficiency analysis side
Method, this method are inputted the multidimensional index of wind power plant as evaluation, and contribution rate and main composition load to each index integrate
Analysis, to provide the comprehensive energy efficiency assessment result of wind power plant.
To achieve the purpose of the present invention, the technical solution adopted by the present invention are as follows: based on the comprehensive of wind power plant multidimensional index analysis
Close energy efficiency evaluating method, which comprises the steps of:
1) each index value in original index matrix P is standardized, the index matrix X after being standardized；
2) correlation matrix of index matrix X after standardizing is acquired；
3) acquire matrix R eigenvalue λ and corresponding orthogonalized eigenvectors B；
4) calculate the contribution rate of each eigenvalue λ, and it is combining standardized after index matrix obtain main ingredient；
5) according to contribution rate and main ingredient, comprehensive energy efficiency evaluation function is determined, by each index value generation after standardization
Enter comprehensive energy efficiency evaluation function, that is, can determine that wind power plant evaluates ranking.
Further, the expression formula for constructing original index matrix P is as follows:
Wherein index matrix line number is wind power plant number n, and columns is index number p.
Further, index standard on dataization uses logarithmic scale method, the index after being standardized in step 1)
Matrix X, expression formula are as follows:
Further, p characteristic value is arranged according to descending order, it may be assumed that
Corresponding orthogonalized eigenvectors are as follows:
Further, each eigenvalue contribution rate αiCalculation method it is as follows:
Further, the contribution rate of accumulative total of each characteristic value is calculated, and sets the particular value of contribution rate of accumulative total, when accumulative contribution
The foundation of alternatively principal component number when rate is greater than particular value.
It is further preferred that set the particular value of contribution rate of accumulative total as 85%, current m eigenvalue contribution rate aggregate-valueWhen, stop calculating, take m main ingredient as follows:
Fj=b1jX1+b2jX2+......+bpjXp, j ∈ [1, m] (6).
Further, composite evaluation function F calculation method is as follows:
F=α1F1+α2F2+......+αmFm(7).Advantageous effects of the invention: of the invention based on wind power plant
The comprehensive energy efficiency appraisal procedure of multidimensional index analysis, gives the method that can be applied to the assessment of wind power plant comprehensive energy efficiency.This method
No longer using single index as Appreciation gist, but inputted multidimensional index as evaluation, contribution rate and master to each index
Composition load carries out comprehensive analysis, provides the comprehensive energy efficiency assessment result of wind power plant.
Detailed description of the invention
Fig. 1 is the flow diagram for embodiment of the present invention method.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
With reference to the accompanying drawings 1 and present invention is further described in detail in conjunction with the embodiments.But the present invention is not limited to institute
The example provided.
Embodiment one
Step 1: it to n wind power plant, chooses p index and carries out Energy Efficiency Analysis, building index matrix is as follows:
Energy Efficiency Analysis is carried out to wind power plant WF1, WF2, WF3 in the present embodiment, the index for participating in evaluating is chosen and is shown in Table 1:
The evaluation index table of the wind power plant WF1, WF2, WF3 of 1 embodiment of table
Index matrix are as follows:
Step 2: to each index value of index matrix P using after logarithmic scale, the index matrix X after establishing standardization is such as
Under:
The present embodiment uses the index matrix after logarithmic scale are as follows:
Step 3: the correlation matrix R of index matrix X after standardization is found out, and solves characteristic equation | λ I-R |=0 finds out acquisition
The eigenvalue λ of matrix R and corresponding orthogonalized eigenvectors B, p characteristic value are arranged according to descending order, it may be assumed that
Corresponding orthogonalized eigenvectors are as follows:
The correlation matrix of P in the present embodiment are as follows:
The characteristic value and feature vector of R are as follows:
Step 4: the contribution rate α of each characteristic value is calculatedi, calculation method is as follows:
The contribution rate of accumulative total of each characteristic value is calculated, and sets the particular value of contribution rate of accumulative total, when contribution rate of accumulative total is greater than spy
The alternatively foundation of principal component number when definite value.
In this embodiment, it is preferred that set particular value as 85%, current m index contribution rate aggregate-valueWhen, stop calculating, and take m main ingredient as follows:
Fj=b1jX1+b2jX2+......+bpjXp, j ∈ [1, m] (6),
Composite evaluation function F:F=α is obtained according to each index contribution rate and main composition1F1+α2F2+......+αmFm。
Calculate each index contribution rate, α1=0.7383, α2=0.2617, α1+α2>=85%, meet the condition for stopping calculating,
Therefore two main ingredient are taken, as follows respectively:
F1=b11X1+b21X2+b31X3+b41X4
F2=b12X1+b22X2+b32X3+b42X4
Composite evaluation function is as follows:
F=α1F1+α2F2=(b11α1+b12α2)X1+(b21α1+b22α2)X2+(b31α1+b32α2)X3+(b41α1+b42α2)X4
It can be seen that the weight of each index is respectively as follows:
b11α1+b12α2=0.3595
b21α1+b22α2=-0.3844
b31α1+b32α2=0.3433
b41α1+b42α2=0.4677
Index matrix value after standardization, which is substituted into composite evaluation function, can finally obtain:
So as to obtain wind power plant ranking WF1 > WF3 > WF2.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations
Also it should be regarded as protection scope of the present invention.
Claims (8)
1. the comprehensive energy efficiency appraisal procedure based on the analysis of wind power plant multidimensional index, which comprises the steps of:
1) each index value in original index matrix P is standardized, the index matrix X after being standardized；
2) correlation matrix of index matrix X after standardizing is acquired；
3) acquire matrix R eigenvalue λ and corresponding orthogonalized eigenvectors B；
4) calculate the contribution rate of each eigenvalue λ, and it is combining standardized after index matrix obtain main ingredient；
5) it according to contribution rate and main ingredient, determines comprehensive energy efficiency evaluation function, each index value after standardization is substituted into comprehensive
Efficiency evaluation function is closed, that is, can determine that wind power plant evaluates ranking.
2. the comprehensive energy efficiency appraisal procedure according to claim 1 based on the analysis of wind power plant multidimensional index, it is characterised in that:
The expression formula for constructing original index matrix P is as follows:
Wherein index matrix line number is wind power plant number n, and columns is index number p.
3. the comprehensive energy efficiency appraisal procedure according to claim 2 based on the analysis of wind power plant multidimensional index, it is characterised in that:
Index standard on dataization is using logarithmic scale method in step 1), the index matrix X after being standardized, and expression formula is as follows:
4. the comprehensive energy efficiency appraisal procedure according to claim 3 based on the analysis of wind power plant multidimensional index, it is characterised in that:
P characteristic value is arranged according to descending order, it may be assumed that
Corresponding orthogonalized eigenvectors are as follows:
5. the comprehensive energy efficiency appraisal procedure according to claim 4 based on the analysis of wind power plant multidimensional index, which is characterized in that
Each eigenvalue contribution rate αiCalculation method it is as follows:
6. the comprehensive energy efficiency appraisal procedure according to claim 5 based on the analysis of wind power plant multidimensional index, which is characterized in that
It calculates the contribution rate of accumulative total of each characteristic value and sets the particular value of contribution rate of accumulative total, the conduct when contribution rate of accumulative total is greater than particular value
Select the foundation of principal component number.
7. the comprehensive energy efficiency appraisal procedure according to claim 6 based on the analysis of wind power plant multidimensional index, which is characterized in that
The particular value of contribution rate of accumulative total is set as 85%, current m eigenvalue contribution rate aggregate-valueWhen, stop calculating,
Take m main ingredient as follows:
Fj=b1jX1+b2jX2+......+bpjXp, j ∈ [1, m] (6).
8. the comprehensive energy efficiency appraisal procedure according to claim 7 based on the analysis of wind power plant multidimensional index, which is characterized in that
Composite evaluation function F calculation method is as follows:
F=α1F1+α2F2+......+αmFm (7)。
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008015921A (en) * | 2006-07-07 | 2008-01-24 | Mitsubishi Electric Corp | Power load representative pattern preparing device and power load representative pattern preparation program |
| CN102722759A (en) * | 2012-05-17 | 2012-10-10 | 河海大学 | Method for predicting power supply reliability of power grid based on BP neural network |
| CN103606115A (en) * | 2013-12-05 | 2014-02-26 | 国家电网公司 | Evaluation method of energy-saving type power grid |
| CN105303468A (en) * | 2015-11-20 | 2016-02-03 | 国网天津市电力公司 | Comprehensive evaluation method of smart power grid construction based on principal component cluster analysis |
| CN106709821A (en) * | 2017-03-10 | 2017-05-24 | 东北电力大学 | Main component analysis-based power supply reliability evaluation method of medium-voltage power distribution network |
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- 2018-09-25 CN CN201811112195.3A patent/CN109087031A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008015921A (en) * | 2006-07-07 | 2008-01-24 | Mitsubishi Electric Corp | Power load representative pattern preparing device and power load representative pattern preparation program |
| CN102722759A (en) * | 2012-05-17 | 2012-10-10 | 河海大学 | Method for predicting power supply reliability of power grid based on BP neural network |
| CN103606115A (en) * | 2013-12-05 | 2014-02-26 | 国家电网公司 | Evaluation method of energy-saving type power grid |
| CN105303468A (en) * | 2015-11-20 | 2016-02-03 | 国网天津市电力公司 | Comprehensive evaluation method of smart power grid construction based on principal component cluster analysis |
| CN106709821A (en) * | 2017-03-10 | 2017-05-24 | 东北电力大学 | Main component analysis-based power supply reliability evaluation method of medium-voltage power distribution network |
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Application publication date: 20181225 |