CN107313901A - The appraisal procedure and device of a kind of Wind turbines generated energy loss - Google Patents
The appraisal procedure and device of a kind of Wind turbines generated energy loss Download PDFInfo
- Publication number
- CN107313901A CN107313901A CN201710706535.4A CN201710706535A CN107313901A CN 107313901 A CN107313901 A CN 107313901A CN 201710706535 A CN201710706535 A CN 201710706535A CN 107313901 A CN107313901 A CN 107313901A
- Authority
- CN
- China
- Prior art keywords
- wind
- generated energy
- wind turbines
- mark
- theoretical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Wind Motors (AREA)
Abstract
The invention discloses a kind of appraisal procedure of Wind turbines generated energy loss and device, methods described includes step:According to the corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed and the theoretical power curve of Wind turbines of wind power plant, the year mark post generated energy E of the Wind turbines is calculatedK mark posts, the moon equivalent generated output P of mark postThe equivalent mark posts of km;Calculate the substitute generation amount E that the Wind turbines are exerted oneself under operation, standby and down state in dropK is substituted;Calculate the accumulative theoretical generated energy E of the Wind turbines under normal operating conditionsThe theoretical normal operations of k;Calculate the actual generating coefficient of discharge δ with theoryk;Calculate the final loss generated energy Δ E of the Wind turbinesk.The appraisal procedure and device of Wind turbines generated energy loss disclosed by the invention, non- wind-resources are eliminated in the calculating of theoretical generated energy influences the interference of state, reduce the error of final loss generated energy and actual loss generated energy, the variation of mark post generated energy is solved, the absolute error that theoretical power curve is brought is eliminated.
Description
Technical field
The present invention relates to technical field of wind power generation, more particularly to a kind of loss of Wind turbines generated energy appraisal procedure and
Device.
Background technology
2016, national wind-powered electricity generation was kept fit growth momentum, and whole year, newly-increased wind-powered electricity generation was installed 19,300,000 kilowatts, added up grid-connected dress
Machine capacity reaches 1.49 hundred million kilowatts, accounts for the 9% of whole capacities of installed generator, and the kilowatt hour of wind power generation capacity 241,000,000,000 accounts for whole hairs
The 4% of electricity.Spatially there is obvious uneven, good regional, the developable area of wind-resources in the wind-resources distribution of China
Domain is more and more limited, and the space of exploitation is increasingly turned to the poor area of wind-resources.Meanwhile, as market competition is increased, wind-powered electricity generation
Owner and investor increasingly pay attention to power generation.The benefit in power station arises directly from generated energy, and the quality of wind-resources then
It is obvious for the generated energy influence of power station then, while also turning into the material risk of owner and investor.In order to quantify this
Risk, the method that the wind turbine power generation amount caused by wind-resources fluctuation then is less than mark post value of assessing that must just have a set of science.
The existing appraisal procedure to wind turbine power generation amount mainly includes two classes:
One class is that, for calculating the method for abandoning wind-powered electricity generation amount, the core algorithm for abandoning wind-powered electricity generation amount is to calculate actual power generation and theory
The difference of generated energy.Wind power plant abandon wind be usually because power network reason can not accommodate unit it is current send out capacity.Therefore, wind is abandoned
Electricity is only relevant with actual wind-resources, not related with design or expected wind-resources.
Another kind of is the algorithm applied to index derivative product, and the core algorithm of the index derivative product is to calculate theoretical generated energy
With the difference of mark post generated energy.Mark post generated energy is manually set with reference to wind energy turbine set wind-resources situation, therefore this method is indirect
Expected wind-resources are considered, but are due to not consider to influence the other factors of generated energy, cause the basis risk of the product larger.
Basis risk refers to that the difference of theoretical generated energy and actual power generation, and mark post generated energy should be corrected still after being interfered
The difference caused is not modified.Due to the presence of basis risk, the practicality of this kind of product is not strong.
The content of the invention
It is a primary object of the present invention to propose the appraisal procedure and device of a kind of Wind turbines generated energy loss, it is intended to solve
The problem of certainly prior art is present.
To achieve the above object, first aspect of the embodiment of the present invention provides a kind of assessment side of Wind turbines generated energy loss
Method, methods described includes step:
According to the corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed of wind power plant and Wind turbines
Theoretical power curve, calculates the year mark post generated energy E of the Wind turbinesK mark posts, the moon equivalent generated output P of mark postThe equivalent mark posts of km;
According to the equivalent generated output P of moon mark postThe equivalent mark posts of km, calculate the Wind turbines and exerted oneself operation, standby and can not in drop
With the substitute generation amount E under stateK is substituted;
According to the theoretical power curve of blower fan, the accumulative theoretical generating of the Wind turbines under normal operating conditions is calculated
Measure EThe theoretical normal operations of k;
Obtain the actual measurement gross generation E of the Wind turbinesK is surveyed, the Wind turbines drop exert oneself operation running status under
Actual measurement generated energy EK actual measurements drop is exerted oneself operation, and according to EK is surveyed、EK actual measurements drop is exerted oneself operation、EThe theoretical normal operations of k, determine the proportion of goods damagedsCalculate actual and theoretical
Generating coefficient of discharge δk;
According to the determination proportion of goods damagedsEThe theoretical normal operations of k、EK is substituted、EK mark postsAnd the actual generating coefficient of discharge δ with theoryk, calculate institute
State the final loss generated energy Δ E of Wind turbinesk。
Optionally, the year mark post generated energy E of the Wind turbinesK mark postsCalculated by the following method:
Wherein PThe equivalent mark posts of kFor the equivalent generated output of year mark post,
Pk(Vi) be kth typhoon group of motors theoretical power curve, FMark post(Vi) be
The mark post wind frequency division cloth of wind power plant, NSurveyFor FMark post(Vi) sample size, ViFor the mean wind speed of i-th of sample, N is time interval
T quantity,Or
Optionally, the equivalent generated output P of the moon mark postThe equivalent mark posts of kmCalculated by the following method:
Wherein Pk(Vj) be kth typhoon group of motors theoretical power curve,
FM mark posts(Vj) be the wind power plant m months mark post wind frequency division cloth, NSurvey mFor FM mark posts(Vj) sample size, VjFor being averaged for j-th sample
Wind speed.
Optionally, the substitute generation amount EK is substitutedCalculated by the following method:
EK is substituted=EK mark posts drop is exerted oneself+EK mark posts are standby+EK mark posts are unavailable;Wherein,
For kth typhoon group of motors, operation of exerting oneself, standby and down state difference drop
The moon number of appearance;mOperation of exerting oneself is dropped、mIt is standby、mIt is unavailableRepresent that exert oneself operation, standby and down state of drop occurs in the m months respectively;Represent that kth typhoon group of motors drop exerts oneself operation, standby and unavailable three kinds of states respectively the
Quantity in m months interval;iOperation of exerting oneself is dropped、iIt is standby、iIt is unavailableI-th of time interval is represented respectively.
Optionally, the accumulative theoretical generated energy EThe theoretical normal operations of kCalculated by the following method:
Wherein, Pk(V1) be kth typhoon group of motors theoretical power curve, NK is normally runNormally run for kth typhoon group of motors
Time interval t quantity under state.
Optionally, the reality and theoretical generating coefficient of discharge δkCalculated by below equation:
Optionally, the final loss generated energy Δ EkCalculated by below equation:
ΔEk=Δ EK is theoretical×δk, wherein
Optionally, the corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed of the wind power plant by with
Under type is determined:
The wind-resources assessment made with reference to the survey wind data of anemometer tower, determines the mark post annual mean wind speed and mark post of wind power plant
The corresponding wind frequency division cloth of monthly average wind speed.
Optionally, methods described also includes step:
According to the final loss generated energy Δ E of the Wind turbinesk, wind power plant is calculated compared in the case of mark post wind-resources
Revenue losses Δ R;WhereinL is the wind turbine of wind power plant
The total quantity of group,
In addition, to achieve the above object, second aspect of the embodiment of the present invention provides a kind of Wind turbines generated energy loss
Apparatus for evaluating, the apparatus for evaluating of the Wind turbines generated energy loss includes:Memory, processor and it is stored in the memory
The appraisal procedure that Wind turbines generated energy that is upper and can running on the processor loses, the Wind turbines generated energy loss
Appraisal procedure by the computing device when realize described in any one of first aspect Wind turbines generated energy loss assessment
The step of method.
The appraisal procedure and device of a kind of Wind turbines generated energy loss provided in an embodiment of the present invention, in theoretical generated energy
Calculating in eliminate non-wind-resources and influence the interference of state, reduce the mistake of final loss generated energy and actual loss generated energy
Difference, solves the variation of mark post generated energy, eliminates the absolute error that theoretical power curve is brought.
Brief description of the drawings
The appraisal procedure schematic flow sheet that Fig. 1 loses for the Wind turbines generated energy of the embodiment of the present invention;
The apparatus for evaluating structural representation that Fig. 2 loses for the Wind turbines generated energy of the embodiment of the present invention;
Fig. 3 is the wind frequency distribution schematic diagram of the wind power plant of the embodiment of the present invention;
Fig. 4 is the theoretical power curve schematic diagram of the Wind turbines of the embodiment of the present invention;
Fig. 5 is the equivalent generated output structural representation of the embodiment of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Describe to realize each embodiment of the invention referring now to accompanying drawing.In follow-up description, using for representing
The suffix of such as " module ", " part " or " unit " of element is only for being conducive to the explanation of the present invention, and itself does not have spy
Fixed meaning.
It will be further appreciated that, the term "and/or" used in description of the invention and appended claims is
Refer to any combinations of one or more of the associated item listed and be possible to combination, and including these combinations.
First embodiment
As shown in figure 1, first embodiment of the invention provides a kind of appraisal procedure of Wind turbines generated energy loss, the side
Method includes step:
11st, according to the corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed and Wind turbines of wind power plant
Theoretical power curve, calculate the year mark post generated energy E of the Wind turbinesK mark posts, the moon equivalent generated output P of mark postThe equivalent mark posts of km;
In the present embodiment, the year mark post generated energy E of the Wind turbinesK mark postsCalculated by the following method:
Wherein PThe equivalent mark posts of kFor the equivalent generated output of year mark post,
Pk(V1) be kth typhoon group of motors theoretical power curve, FMark post(Vi) be
The mark post wind frequency division cloth of wind power plant, NSurveyFor FMark post(Vi) sample size, ViFor the mean wind speed of i-th of sample, N is time interval
T quantity,Or
With it is upper similarly, moon mark post generated energy EKm mark postsIt can be calculated by the following method:
In the present embodiment, the equivalent generated output P of the moon mark postThe equivalent mark posts of kmCalculated by the following method:
Wherein Pk(Vj) be kth typhoon group of motors theoretical power curve,
FM mark posts(Vj) be the wind power plant m months mark post wind frequency division cloth, NSurvey mFor FM mark posts(Vj) sample size, VjFor being averaged for j-th sample
Wind speed.
In other embodiments, the moon equivalent generated output P of mark postThe equivalent mark posts of kmP can be usedK mark posts are monthlyTo replace also can be achieved on
's.Wherein,That is EK mark posts are monthlyIt is EK mark postsAveragely assign to after December, every month
Average generated energy;PK mark posts are monthlyIt is EK mark posts are monthlyMean power after assigning to per hour.PThe equivalent mark posts of kmIt is to be based on mark post monthly average wind speed
Wind frequency division cloth combination power curve try to achieve, principle is completely different.
In the present embodiment, the corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed of the wind power plant
Determine in the following manner:
The wind-resources assessment made with reference to the survey wind data of anemometer tower, determines the mark post annual mean wind speed and mark post of wind power plant
The corresponding wind frequency division cloth of monthly average wind speed.
It should be noted that theoretical generated energy and mark post generated energy are calculated by theoretical power curve.And manage
Exerted oneself corresponding relation line by inherently one Utopian wind speed/blower fan of power curve.Meanwhile, because measurement error or other people
It is very big with actual variance for theoretical power curve caused by factor.But in this method, theoretical generated energy and mark post generated energy is used
Same theoretical power curve, makes result of calculation there was only relative error, without absolute error.
12nd, according to the equivalent generated output P of moon mark postThe equivalent mark posts of km, calculate the Wind turbines and exerted oneself operation, standby and not in drop
Substitute generation amount E under upstateK is substituted;
In the present embodiment, the substitute generation amount EK is substitutedCalculated by the following method:
EK is substituted=EK mark posts drop is exerted oneself+EK mark posts are standby+EK mark posts are unavailable;Wherein,
For kth typhoon group of motors, operation of exerting oneself, standby and down state difference drop
The moon number of appearance;mOperation of exerting oneself is dropped、mIt is standby、mIt is unavailableRepresent that exert oneself operation, standby and down state of drop occurs in the m months respectively;Represent that kth typhoon group of motors drop exerts oneself operation, standby and unavailable three kinds of states respectively the
The time interval quantity occurred the m months;iOperation of exerting oneself is dropped、iIt is standby、iIt is unavailableI-th of time interval is represented respectively.
It should be noted that influenceing the interference of state, this reality to exclude non-wind-resources in the calculating of theoretical generated energy
Apply in example differentiation wind turbine power generation amount influences completely irrelevant state with wind-resources.Specifically, the present embodiment is carried out to the state of blower fan
Divide:When blower fan is in normal operating condition, the generated energy of blower fan is related to wind-resources situation;When blower fan is exerted oneself in drop
During running status, the generated energy of blower fan is relevant with maximum limit generated energy, unrelated with wind-resources situation;When blower fan is in stand-by state
During with down state, blower fan is produced without generated energy.Therefore wind-resources influence state refers to blower fan and is in normal operating condition, non-wind money
Source influence state refer to blower fan exerted oneself in drop, standby and down state.As illustratively, refer to shown in below table:
It should also be noted that, by introducing substitute generation amount EK is substituted, can avoid adjusting mark post generated energy afterwards, solve
The problem of application difficult.
13rd, according to the theoretical power curve of blower fan, the accumulative theory of the Wind turbines under normal operating conditions is calculated
Generated energy EThe theoretical normal operations of k;
In the present embodiment, the accumulative theoretical generated energy EThe theoretical normal operations of kCalculated by the following method:
Wherein, Pk(V1) be kth typhoon group of motors theoretical power curve, NK is normally runNormally run for kth typhoon group of motors
Time interval t quantity under state.
With it is upper similarly, the Wind turbines are exerted oneself the accumulative theoretical generating under operation, standby and down state in drop
Measure EOperation of exerting oneself drops in k theories、EK theories are standby、EK theories are unavailableCalculated by the following method:
Wherein, NOperation of exerting oneself drops in kThe time interval t quantity for dropping running status of exerting oneself is in for kth typhoon group of motors;NK is standbyFor kth
Typhoon group of motors is in the time interval t quantity of stand-by state, NK is unavailableBe kth typhoon group of motors be in down state when
Between be spaced t quantity.
In the present embodiment, the accumulative theoretical generated energy of kth typhoon group of motors
EK is theoretical=EThe theoretical normal operations of k+EOperation of exerting oneself drops in k theories+EK theories are standby+EK theories are unavailable, and have:
N=NK is normally run+NOperation of exerting oneself drops in k+NK is standby+NK is unavailable。
14th, the actual measurement gross generation E of the Wind turbines is obtainedK is surveyed, the Wind turbines drop exert oneself operation operation shape
Actual measurement generated energy E under stateK actual measurements drop is exerted oneself operation, and according to EK is surveyed、EK actual measurements drop is exerted oneself operation、EThe theoretical normal operations of k, determine the proportion of goods damagedsCalculate it is actual with
Theoretical generating coefficient of discharge δk;
In the present embodiment, the reality and theoretical generating coefficient of discharge δkCalculated by below equation:
By introducing the actual generating coefficient of discharge δ with theoryk, can further reduce the final loss generated energy knot of calculating
Fruit and the absolute error of actual loss generated energy.
It should be noted thatLoss factor is determined, usually
15th, according to the determination proportion of goods damagedsEThe theoretical normal operations of k、EK is substituted、EK mark postsAnd the actual generating coefficient of discharge δ with theoryk, meter
Calculate the final loss generated energy Δ E of the Wind turbinesk。
In the present embodiment, the final loss generated energy Δ EkCalculated by below equation:
ΔEk=Δ EK is theoretical×δk, whereinBy δkSubstitute into the formula
It can obtain afterwards,
Further, methods described may also include step (accompanying drawing is not shown):
According to the final loss generated energy Δ E of the Wind turbinesk, wind power plant is calculated compared in the case of mark post wind-resources
Revenue losses Δ R;WhereinL is the wind turbine of wind power plant
The total quantity of group,
In the present embodiment, electricity volume refers to wind power plant and power network Source of Gateway Meter are measured in measurement period wind power plant to electricity
The electric energy of conveying is netted, unit is ten thousand kilowatt hours (ten thousand kWh);
Off line electricity refers to the electric energy that the power network that wind power plant is measured with power network Source of Gateway Meter in measurement period is conveyed to wind power plant,
Unit is ten thousand kilowatt hours (ten thousand kWh);
Line loss per unit is sent out to refer to consume the percentage that the electricity for sending out line in wind power plant accounts for whole audience generated energy in measurement period.
Do not consider to send out line condition, when only calculating the Δ R in wind power plant, send out line loss per unit and be equal to zero.
For the further explaination embodiment of the present invention one, now it is described in detail by taking Fig. 3-Fig. 5 as an example.
Assuming that certain wind field has 33 single-machine capacity 1.5MW blower fan, the certainty loss factor of blower fanComprehensive field
Power consumption rate 5%, sends out line loss per unit 5%, 0.5 yuan/kw of rate for incorporation into the power network.Annual mean wind speed is 6.64m/s for many years, and its wind frequency division cloth can
With reference to shown in Fig. 3, the theoretical power curve of blower fan is referred to shown in Fig. 4, and equivalent generated output is referred to as shown in Figure 5.
1), completely irrelevant state is influenceed with wind-resources in exclusion wind turbine power generation amount
According to 1 day 12 May in 2016:1 day 12 Mays of 30-2017:30 anemometer towers and kth Fans SCADA data, can
To obtain actual anemometer tower annual mean wind speed as 5.596m/s, because time interval is 5 minutes, therefore whole year is when having 105120
Between be spaced, wherein standby and down state 8928, all occurring in December, 2016, drop is exerted oneself running status 518.
The theoretical generated energy in kth Fans December is EK12 is theoretical, after being averaged according to annual mark post generated energy, mark monthly
Bar generated energy is EK mark posts are monthly, then have:EK mark posts are monthly=353184kw.
And according to the P in DecemberThe equivalent mark posts of k12Have:
Meanwhile, the theoretical generated energy E of the blower fan in DecemberK12 is theoretical=270281kw, actual power generation EK12 is surveyed=0kw.Therefore
It was obvious that, if not differentiating between the result of fan condition:
1., theoretical generated energy is calculated one month more than actual measurement generated energy, causes theoretical and actual error to increase, and is missed
The reason for difference is increased is not because wind-resources problem;
2. E is usedK12 mark posts, do not use EK mark posts are monthly, it is because EK mark posts are monthly<EK12 mark posts.If December, blower fan was normally run,
The electricity sent can reduce the gap with annual mark post generated energy.Therefore when blower fan can not be run, should use can characterize 12
The mark post generated energy of month wind-resources (can add this part in theoretical normal operation generated energy, can also be sent out from mark post to substitute
This part is subtracted in electricity.)
2), solve mark post generated energy and change and eliminate the absolute error that theoretical power curve is brought
After non-wind effect state is rejected, it can be found that due to the characteristics of wind-resources are in moon skewness, causing non-wind shadow
The state of sound can be sent out mark post at part month (the characteristics of these months is that its monthly average wind speed deviation annual mean wind speed is more)
Electricity is fixed really rings very big.Such as this example whole month in December failure, should if certainly will also be unfair using original mark post generated energy
Mark post generated energy is adjusted.Due to that in actual applications, mark post generated energy should be determined in advance.And follow-up non-wind effect state
It is uncertain, cause to determine that mark post generated energy is infeasible in advance.Therefore substitute generation amount E is introducedK is substitutedConcept, it is therefore an objective to reduce non-
The error of the uncertain result caused of wind effect state.It is as follows:
Wherein EThe theoretical normal operations of k、EK is substituted、EK mark postsSame theoretical power curve is used, therefore solves theoretical power (horse-power) simultaneously
Absolute error caused by curve.
3) final calculation result and the error of actual loss generated energy, are reduced
Survey generated energy and generally include normal operating condition and limit power rating institute generated energy, therefore drop can be rejected and exert oneself
The actual power generation E of stateK actual measurements drop is exerted oneself, EK actual measurements drop is exerted oneself=40077kw.
Then have, EThe normal operation of k actual measurements=3413247kw;
Corresponding EThe theoretical normal operations of k=2632090kw.
It is obvious that after non-wind effect state is rejected, actual measurement generated energy and theoretical generated energy gap are very big.Main influence
Reason is as follows:
1., theoretical generated energy uses anemometer tower air speed data, and the actual wind speed data differences with blower fan position are big.This is poor
Distance, landform, wind direction, the influence of neighbouring blower fan wake flow are not mostly derived from.Even if using the nacelle wind speed instrument error there is also.
2., theoretical power curve and actual power curve have deviation.Theoretical power curve is Utopian curve, and actual
Power curve is a kind of similar probability distribution in scatter diagram.
3., also there are some control errors in the yaw system of blower fan.
Nevertheless, within the same period under for blower fan normal operating condition, distance, landform, neighbouring blower fan
Wake effect, the control error of yaw system can be regarded as constant.Thus it can be assumed that using anemometer tower survey wind data with
The theoretical generated energy that theoretical power curve is calculated should have certain close to linear relation with actual power generation.Therefore, introduce real
Border and theoretical generating coefficient of discharge δk,
The actual generating coefficient of discharge δ with theorykThe Gap between theoretical generated energy and actual power generation is solved, is allowed
Result of calculation is approached with actual conditions.
δk=1.85, Δ Ek=Δ EK is theoretical×δk=-1268852kw
Assuming that 33 Fans, and Δ EkIt is identical, then have:
According to this algorithm calculate Δ R will be with actual conditions theoretically closer to.
The appraisal procedure of a kind of Wind turbines generated energy loss provided in an embodiment of the present invention, in the calculating of theoretical generated energy
In eliminate non-wind-resources and influence the interference of state, reduce the error of final loss generated energy and actual loss generated energy, solution
Mark post generated energy of having determined changes, and eliminates the absolute error that theoretical power curve is brought.
Second embodiment
Reference picture 2, Fig. 2 provides a kind of apparatus for evaluating of Wind turbines generated energy loss, institute for second embodiment of the invention
Stating the apparatus for evaluating 20 of Wind turbines generated energy loss includes:Memory 21, processor 22 and it is stored on the memory 21
And the appraisal procedure for the Wind turbines generated energy loss that can be run on the processor 22, the Wind turbines generated energy loss
Appraisal procedure the assessment side of the Wind turbines generated energy loss described in first embodiment is realized when being performed by the processor 22
The step of method.
The apparatus for evaluating of a kind of Wind turbines generated energy loss provided in an embodiment of the present invention, in the calculating of theoretical generated energy
In eliminate non-wind-resources and influence the interference of state, reduce the error of final loss generated energy and actual loss generated energy, solution
Mark post generated energy of having determined changes, and eliminates the absolute error that theoretical power curve is brought.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property is included, so that process, method, article or device including a series of key elements not only include those key elements, and
And also including other key elements being not expressly set out, or also include for this process, method, article or device institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Also there is other identical element in process, method, article or the device of key element.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of appraisal procedure of Wind turbines generated energy loss, methods described includes step:
According to the corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed and the theory of Wind turbines of wind power plant
Power curve, calculates the year mark post generated energy E of the Wind turbinesK mark posts, the moon equivalent generated output P of mark postThe equivalent mark posts of km;
According to the equivalent generated output P of moon mark postThe equivalent mark posts of km, calculate the Wind turbines and exerted oneself operation, standby and unavailable shape in drop
Substitute generation amount E under stateK is substituted;
According to the theoretical power curve of blower fan, the accumulative theoretical generated energy of the Wind turbines under normal operating conditions is calculated
EThe theoretical normal operations of k;
Obtain the actual measurement gross generation E of the Wind turbinesK is surveyed, the Wind turbines drop exert oneself operation running status under reality
Survey generated energy EK actual measurements drop is exerted oneself operation, and according to EK is surveyed、EK actual measurements drop is exerted oneself operation、EThe theoretical normal operations of k, determine the proportion of goods damagedsCalculate the actual hair with theory
Quantity coefficient δk;
According to the determination proportion of goods damagedsEThe theoretical normal operations of k、EK is substituted、EK mark postsAnd the actual generating coefficient of discharge δ with theoryk, calculate the wind
The final loss generated energy Δ E of group of motorsk。
2. a kind of appraisal procedure of Wind turbines generated energy loss according to claim 1, it is characterised in that the wind-powered electricity generation
The year mark post generated energy E of unitK mark postsCalculated by the following method:
Wherein PThe equivalent mark posts of kFor the equivalent generated output of year mark post,
Pk(Vi) be kth typhoon group of motors theoretical power curve, FMark post(Vi) it is wind-powered electricity generation
The mark post wind frequency division cloth of field, NSurveyFor FMark post(Vi) sample size, ViFor the mean wind speed of i-th of sample, N is time interval t's
Quantity,Or
3. a kind of appraisal procedure of Wind turbines generated energy loss according to claim 1, it is characterised in that the moon mark
The equivalent generated output P of barThe equivalent mark posts of kmCalculated by the following method:
Wherein Pk(Vj) be kth typhoon group of motors theoretical power curve, FM mark posts
(Vj) be the wind power plant m months mark post wind frequency division cloth, NSurvey mFor FM mark posts(Vj) sample size, VjFor the average wind of j-th of sample
Speed.
4. a kind of appraisal procedure of Wind turbines generated energy loss according to claim 1, it is characterised in that the replacement
Generated energy EK is substitutedCalculated by the following method:
EK is substituted=EK mark posts drop is exerted oneself+EK mark posts are standby+EK mark posts are unavailable;Wherein,
Operation of exerting oneself, standby and down state are dropped for kth typhoon group of motors respectively to occur
Moon number;mOperation of exerting oneself is dropped、mIt is standby、mIt is unavailableRepresent that exert oneself operation, standby and down state of drop occurs in the m months respectively;Represent that kth typhoon group of motors drop exerts oneself operation, standby and unavailable three kinds of states respectively in m
Month interval in quantity;iOperation of exerting oneself is dropped、iIt is standby、iIt is unavailableI-th of time interval is represented respectively.
5. the appraisal procedure of a kind of Wind turbines generated energy loss according to claim 1, it is characterised in that described accumulative
Theoretical generated energy EThe theoretical normal operations of kCalculated by the following method:
Wherein, Pk(Vi) be kth typhoon group of motors theoretical power curve, NK is normally runFor kth typhoon group of motors normal operating condition
Under time interval t quantity.
6. a kind of appraisal procedure of Wind turbines generated energy loss according to claim 1, it is characterised in that the reality
With theoretical generating coefficient of discharge δkCalculated by below equation:
7. the appraisal procedure of a kind of Wind turbines generated energy loss according to claim 1, it is characterised in that described final
Lose generated energy Δ EkCalculated by below equation:
ΔEk=Δ EK is theoretical×δk, wherein
8. the appraisal procedure lost according to a kind of any described Wind turbines generated energy of claim 1-7, it is characterised in that institute
The corresponding wind frequency division cloth of mark post annual mean wind speed and mark post monthly average wind speed for stating wind power plant is determined in the following manner:
The wind-resources assessment made with reference to the survey wind data of anemometer tower, determines that the mark post annual mean wind speed and mark post month of wind power plant are put down
The corresponding wind frequency division cloth of equal wind speed.
9. the appraisal procedure lost according to a kind of any described Wind turbines generated energy of claim 1-7, it is characterised in that institute
Stating method also includes step:
According to the final loss generated energy Δ E of the Wind turbinesk, wind power plant is calculated compared to the income in the case of mark post wind-resources
Lose Δ R;WhereinL is the Wind turbines of wind power plant
Total quantity,
10. a kind of apparatus for evaluating of Wind turbines generated energy loss, it is characterised in that what the Wind turbines generated energy lost comments
Estimating device includes:Memory, processor and it is stored in the Wind turbines that can be run on the memory and on the processor
The appraisal procedure of generated energy loss, the appraisal procedure of the Wind turbines generated energy loss is realized such as during the computing device
The step of appraisal procedure of Wind turbines generated energy loss any one of claim 1 to 9.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710706535.4A CN107313901B (en) | 2017-08-17 | 2017-08-17 | A kind of appraisal procedure and device of the loss of Wind turbines generated energy |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710706535.4A CN107313901B (en) | 2017-08-17 | 2017-08-17 | A kind of appraisal procedure and device of the loss of Wind turbines generated energy |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107313901A true CN107313901A (en) | 2017-11-03 |
CN107313901B CN107313901B (en) | 2019-05-07 |
Family
ID=60177209
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710706535.4A Active CN107313901B (en) | 2017-08-17 | 2017-08-17 | A kind of appraisal procedure and device of the loss of Wind turbines generated energy |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107313901B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108960688A (en) * | 2018-08-30 | 2018-12-07 | 北京光耀电力科技股份有限公司 | A kind of total management system of Wind turbines |
CN108985625A (en) * | 2018-07-16 | 2018-12-11 | 浙江电腾云光伏科技有限公司 | A kind of photovoltaic apparatus operating analysis method |
CN109087033A (en) * | 2018-09-28 | 2018-12-25 | 龙源(北京)风电工程技术有限公司 | A kind of comprehensive field power consumption rate calculating analysis system of wind power plant |
CN109086253A (en) * | 2018-07-20 | 2018-12-25 | 西安西热电站信息技术有限公司 | A kind of Wind turbines loss electricity calculation method based on reliability dimension |
CN110836171A (en) * | 2018-08-19 | 2020-02-25 | 北京国电思达科技有限公司 | Fan technical improvement optimization effect evaluation method and system based on unit anemometry system |
CN112231361A (en) * | 2020-10-28 | 2021-01-15 | 西安热工研究院有限公司 | Wind power project generating capacity evaluation method based on fan operation data |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102322393A (en) * | 2009-12-16 | 2012-01-18 | 歌美飒创新技术公司 | Be used to improve the wind turbine control method of the generated energy that recovers energy loss |
CN104112236A (en) * | 2014-05-29 | 2014-10-22 | 国家电网公司 | Calculating method of generating power of wind power field |
JP2014199055A (en) * | 2013-03-13 | 2014-10-23 | 豊田通商株式会社 | Power generator |
BR102014016747A2 (en) * | 2013-07-08 | 2016-05-24 | Moog Unna Gmbh | method for charging an emergency power accumulator |
CN106321368A (en) * | 2016-08-12 | 2017-01-11 | 峰能斯格尔(北京)可再生能源科技有限公司 | Offshore wind power plant wake flow loss measuring method based on running draught fan SCADA data |
-
2017
- 2017-08-17 CN CN201710706535.4A patent/CN107313901B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102322393A (en) * | 2009-12-16 | 2012-01-18 | 歌美飒创新技术公司 | Be used to improve the wind turbine control method of the generated energy that recovers energy loss |
JP2014199055A (en) * | 2013-03-13 | 2014-10-23 | 豊田通商株式会社 | Power generator |
BR102014016747A2 (en) * | 2013-07-08 | 2016-05-24 | Moog Unna Gmbh | method for charging an emergency power accumulator |
CN104112236A (en) * | 2014-05-29 | 2014-10-22 | 国家电网公司 | Calculating method of generating power of wind power field |
CN106321368A (en) * | 2016-08-12 | 2017-01-11 | 峰能斯格尔(北京)可再生能源科技有限公司 | Offshore wind power plant wake flow loss measuring method based on running draught fan SCADA data |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108985625A (en) * | 2018-07-16 | 2018-12-11 | 浙江电腾云光伏科技有限公司 | A kind of photovoltaic apparatus operating analysis method |
CN109086253A (en) * | 2018-07-20 | 2018-12-25 | 西安西热电站信息技术有限公司 | A kind of Wind turbines loss electricity calculation method based on reliability dimension |
CN110836171A (en) * | 2018-08-19 | 2020-02-25 | 北京国电思达科技有限公司 | Fan technical improvement optimization effect evaluation method and system based on unit anemometry system |
CN108960688A (en) * | 2018-08-30 | 2018-12-07 | 北京光耀电力科技股份有限公司 | A kind of total management system of Wind turbines |
CN108960688B (en) * | 2018-08-30 | 2023-06-30 | 北京光耀电力科技股份有限公司 | Comprehensive management system of wind turbine generator system |
CN109087033A (en) * | 2018-09-28 | 2018-12-25 | 龙源(北京)风电工程技术有限公司 | A kind of comprehensive field power consumption rate calculating analysis system of wind power plant |
CN112231361A (en) * | 2020-10-28 | 2021-01-15 | 西安热工研究院有限公司 | Wind power project generating capacity evaluation method based on fan operation data |
CN112231361B (en) * | 2020-10-28 | 2023-08-18 | 西安热工研究院有限公司 | Wind power project power generation amount evaluation method based on fan operation data |
Also Published As
Publication number | Publication date |
---|---|
CN107313901B (en) | 2019-05-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107313901A (en) | The appraisal procedure and device of a kind of Wind turbines generated energy loss | |
Shi et al. | Comprehensive evaluation index system for wind power utilization levels in wind farms in China | |
Brenna et al. | Energy storage control for dispatching photovoltaic power | |
Ohunakin et al. | Assessment of wind energy potential and the economics of wind power generation in Jos, Plateau State, Nigeria | |
Aman et al. | Investigating possible wind energy potential to meet the power shortage in Karachi | |
Thapar et al. | Critical analysis of methods for mathematical modelling of wind turbines | |
Tan et al. | Optimization and evaluation of a dispatch model for an integrated wind-photovoltaic-thermal power system based on dynamic carbon emissions trading | |
CN103778340B (en) | The statistical method of extensive generation of electricity by new energy characteristic | |
Yi et al. | Impact of the uncertainty of distributed renewable generation on deregulated electricity supply chain | |
Fang et al. | Application of gray relational analysis to k-means clustering for dynamic equivalent modeling of wind farm | |
CN104821581B (en) | A kind of determination method of optimal spare capacity a few days ago | |
CN102012956A (en) | Wind farm equivalent method based on wind farm input wind speed and wind direction chance fluctuation | |
CN102055188A (en) | Ultra-short term wind power forecasting method based on time series method | |
US20090281820A1 (en) | Method and system to quantify performance of a power generating system | |
CN107394809A (en) | Wind-electricity integration system risk appraisal procedure based on wind speed time cycle feature | |
Pupo-Roncallo et al. | Renewable energy production and demand dataset for the energy system of Colombia | |
Liu et al. | Bi-level fuzzy stochastic expectation modelling and optimization for energy storage systems planning in virtual power plants | |
Wang et al. | A time-scale adaptive dispatching strategy considering the matching of time characteristics and dispatching periods of the integrated energy system | |
Wu et al. | Using extreme wind-speed probabilistic forecasts to optimize unit scheduling decision | |
CN105896535A (en) | Wind farm generation right replacement capacity evaluation method for minimizing wind curtailment capacity | |
Jesus et al. | Hydrogen-based solutions to help the electrical grid management: Application to the Terceira Island case | |
Jiang et al. | Refined production simulation and operation cost evaluation for power system with high proportion of renewable energy | |
Delannoy et al. | Climate impact and energy sustainability of future European neighborhoods | |
Han et al. | Post evaluation of wind resource assessment and micro-siting | |
Zhang et al. | An integrated assessment of China’s wind energy potential |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |