CN106950421B - A kind of active power for wind power extremum extracting method and system - Google Patents
A kind of active power for wind power extremum extracting method and system Download PDFInfo
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- CN106950421B CN106950421B CN201710001958.6A CN201710001958A CN106950421B CN 106950421 B CN106950421 B CN 106950421B CN 201710001958 A CN201710001958 A CN 201710001958A CN 106950421 B CN106950421 B CN 106950421B
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The present invention relates to a kind of active power for wind power extremum extracting methods, the detection method includes: to read the result of wind-powered electricity generation climbing detection, by in climbing top of the slope and bottom of slope be divided into maximum and minimum value set respectively, obtain two extreme values are integrated into extreme value optimal time threshold range and find more excellent extreme value substitution；Two extreme value set are adjusted by extreme value definition；Supplement new extreme value；Adjacent extreme value in the same direction is compared, an optimal extreme value is selected；Processing is optimized to two extreme value set；Between insertion opposite pole value two adjacent extreme values in the same direction.A kind of system is further related to, which includes: that extreme value primary election module, extreme value optimizing module, extreme value complementary module, extreme value compare screening module, extremal optimization processing module and extreme value insertion module.The extreme value in wind power data can be fast and effeciently detected through the invention, moreover it is possible to be provided accurate data for prediction of extremum, also be can guarantee the accuracy of forecast assessment, there is very strong practical value.
Description
Technical field
The present invention relates to technical field of wind power more particularly to a kind of active power for wind power extremum extracting method and system.
Background technique
As specific gravity of the wind-powered electricity generation in power grid constantly increases, the fluctuation of wind-powered electricity generation and it is intermittent be electric device safety and
Stabilization brings stern challenge, and especially in the climbing event of wind-powered electricity generation, power fluctuates widely in a short time, easily broken
The power-balance and frequency stabilization of bad power grid, lead to the collapse of electric net device, cause great economic loss.To wind-powered electricity generation extreme value
Reasonable prediction, the dispatcher for capableing of auxiliary power device formulate careful operation plan, adjust wind-powered electricity generation institute before extreme value generates
Accounting example prevents from causing serious problems.The detection of extreme value is the basis of prediction of extremum and assessment, and a reasonable extremum extracting is calculated
Method can provide accurate data for prediction of extremum, also can guarantee the accuracy of forecast assessment, have very strong practical value.
Summary of the invention
The technical problems to be solved by the present invention are: at present in the climbing event of wind-powered electricity generation, power is in a short time substantially
Degree fluctuation, is highly vulnerable to breakage the power-balance and frequency stabilization of power grid, leads to the collapse of electric net device, causes greatly economic damage
It loses.
To solve technical problem above, the present invention provides a kind of active power for wind power extremum extracting method, this method
Include the following steps:
S1, read wind-powered electricity generation climbing detection as a result, by climbing top of the slope and bottom of slope be divided into maximum and minimum respectively
Obtain two extreme values are integrated into extreme value optimal time threshold range and find more excellent extreme value substitution by set；
S2 is traversed carry out two extreme value set after extreme value optimizing in S1 respectively, and defines by extreme value to two extreme value collection
Conjunction is adjusted；
S3 supplements new extreme value to rear two new extreme value set are adjusted in S2；
S4 is traversed in S3 supplement two extreme value set after new extreme value respectively, is compared, selects to adjacent extreme value in the same direction
One optimal extreme value forms two new extreme value set；
S5 traverses the two new extreme value set formed in S4, optimizes processing to two extreme value set；
S6 traverses two extreme value set in S5 after optimization processing respectively, is inserted into phase to two adjacent extreme values in the same direction
Antipole value.
Further, in the S1 further include: parameter needed for reading active power for wind power extremum extracting；Read original power
Sequence, and by original power sequence normalization.
Further, in the S1 further include:
S11 traverses very big value set, seeks in the extreme value optimal time threshold range of the maximum to each maximum
Look for a maximum value；
S12, if the time threshold of the maximum and the maximum value of searching is unequal, in very big value set, to find
Maximum value replace the maximum；Otherwise S11 is returned to, continues to traverse very big value set, terminates until traversing, jumps to S13；
S13 traverses minimum value set, seeks in the extreme value optimal time threshold range of the minimum to each minimum
Look for a minimum value；
S14, if the time threshold of the minimum and the minimum value of searching is unequal, in minimum value set, to find
Minimum value replace the minimum；Otherwise S13 is returned to, continues to traverse minimum value set, until traversal terminates.
Further, in the S2 further include:
S21 is traversed carry out two extreme value set after extreme value optimizing in S1 respectively, to each extreme value, if the extreme value is pole
Big value, then carry out S22；If the extreme value is minimum, S24 is carried out, until traversal terminates；
S22, judges whether maximum left side point performance number in original power sequence is greater than the maximum, if more than then
Using the point as newest maximum, continuation traverses to the left, until the point for encountering smaller than newest maximum terminates, or returns to S21；
Otherwise S23 is carried out；
S23, judges whether the right point power in original power sequence of the maximum in S21 is greater than the maximum, if greatly
In then using the point as newest maximum, continuation is traversed to the right, until the point for encountering smaller than newest maximum terminates, or return
S21；
S24, judges whether the left side point power in original power sequence of the minimum in S21 is less than the minimum, if small
In then using the point as newest minimum, continuation traverses to the left, until the point for encountering bigger than newest minimum terminates, or return
S21；Otherwise S25 is carried out；
S25, judges whether the right point power in original power sequence of the minimum in S21 is less than the minimum, if small
In then using the point as newest minimum, continuation is traversed to the right, until the point for encountering bigger than newest minimum terminates, or return
S21。
Further, include: in the S3
S31 traverses the set of two extreme values in S2, extreme value adjacent to every two, if the difference of two adjacent extreme values is big
In time threshold, then S32 is carried out；Otherwise S31 is repeated, continues traversal until terminating；
S32 finds in S31 power maximum number of points in the period locating for two adjacent extreme values in original power sequence
Value and power smallest point numerical value；
S33, if the difference of power maximum point numerical value and power smallest point numerical value is greater than amplitude threshold, by power maximum point
Numerical value is inserted into very big value set, and power smallest point numerical value is inserted into minimum value set；Otherwise S31 is returned.
Further, include: in the S4
S41 traverses the very big value set in S3, to every two adjacent maximum, if minimum is not present between the two,
The time difference of the two is calculated, S42 is carried out；Otherwise continue to traverse, terminate until traversing, go to S43；
S42, if the time difference of the two is less than time threshold, by maximum lesser in two adjacent maximum
It is removed from very big value set；Otherwise S41 is gone to, continues to traverse very big value set；
S43 traverses minimum value set, to every two adjacent minimum, if maximum is not present between the two, calculates two
The time difference of person carries out S44；Otherwise continue traversal until terminating；
S44, if the time difference of the two is less than time threshold, by minimum biggish in two adjacent minimums
It is removed from minimum value set；Otherwise S43 is gone to, continues to traverse minimum value set.
Further, include: in the S5
S51, traverses extreme value set, and extreme value adjacent to every two carries out S52 if the two is contrary；Otherwise it weighs
Multiple S51 continues traversal until terminating；
S52, if the difference of two reversed adjacent extreme values is less than time threshold, and range value is less than amplitude threshold, then by two
A adjacent extreme value is rejected from extreme value set；Otherwise S51 is returned.
Further, include: in the S6
S61 traverses very big value set, to every two adjacent maximum, if minimum is not present between the two, calculates two
The time difference of person carries out S62；Otherwise continue to traverse, terminate until traversing, go to S63；
S62, if the time difference of the two is greater than or equal to time threshold, within two adjacent maximum periods
A minimum point is found, if two maximum amplitude thresholds minimum with the absolute difference of the amplitude threshold of the minimum value respectively
Value is both greater than amplitude threshold, then the minimum point is inserted into minimum value set；Otherwise S61 is returned, continues to traverse very big value set；
S63 traverses minimum value set, to every two adjacent minimum, if maximum is not present between the two, calculates two
The time difference of person carries out S64；Otherwise continue traversal until terminating；
S64, if the time difference of the two is greater than or equal to time threshold, within two adjacent minimum periods
A maximum of points is found, if two minimum amplitude thresholds minimum with the absolute difference of the amplitude threshold of the maximum value respectively
Value is both greater than amplitude threshold, then the maximum of points is included into very big value set；Otherwise S63 is gone to, continues to traverse minimum value set.
Beneficial effects of the present invention: in conjunction with wind power plant history data, wind power number can be fast and effeciently detected
Extreme value in can provide accurate data for prediction of extremum, also can guarantee the accuracy of forecast assessment, have very strong reality
With value.
The invention further relates to a kind of active power for wind power extremum extracting system, which includes: extreme value primary election module, extreme value
It adjusts module, extreme value complementary module, extreme value comparison module, extremal optimization processing module and extreme value and is inserted into module；
The extreme value primary election module is read that climbing detects as a result, by the top of the slope and bottom of slope difference in climbing for wind-powered electricity generation
It is divided into maximum and minimum value set, obtain two extreme values are integrated into extreme value optimal time threshold range and find more excellent pole
Value substitution；
The extreme value adjusts module, for traversing two obtained after extreme value optimizing the extreme value in extreme value primary election module
Set, and two extreme value set are adjusted by extreme value definition；
The extreme value complementary module, for carrying out new extreme value benefit to two extreme value set after extreme value adjusts resume module
It fills；
The extreme value comparison module, for traversing two extreme value set of extreme value complementary module processing, to adjacent pole in the same direction
Value is compared, and selects an optimal extreme value, forms two new extreme value set；
The extremal optimization processing module, two new extreme value set for being formed to extreme value comparison module, to two
Extreme value set optimizes processing；
The extreme value is inserted into complementary module, for two extreme value set after extremal optimization processing module optimization processing,
Opposite pole value is inserted between two neighboring extreme value in the same direction.
Further, system further include: the extreme value primary election module is also used to parameter and use needed for obtaining extremum extracting
In reading wind power initial data, by wind power data normalization.
Beneficial effects of the present invention: in conjunction with wind power plant history data, wind power number can be fast and effeciently detected
Extreme value in can provide accurate data for prediction of extremum, also can guarantee the accuracy of forecast assessment, have very strong reality
With value.
Detailed description of the invention
Fig. 1 is a kind of flow chart of active power for wind power extremum extracting method of the invention；
Fig. 2 is a kind of schematic diagram of active power for wind power extremum extracting system of the invention；
Fig. 3 is a kind of partial schematic diagram of active power for wind power extremum extracting method of the invention；
Fig. 4 is a kind of partial schematic diagram of active power for wind power extremum extracting method of the invention；
Fig. 5 is a kind of partial schematic diagram of active power for wind power extremum extracting method of the invention；
Fig. 6 is a kind of partial schematic diagram of active power for wind power extremum extracting method of the invention；
Fig. 7 is a kind of partial schematic diagram of active power for wind power extremum extracting method of the invention；
Fig. 8 is a kind of partial schematic diagram of active power for wind power extremum extracting method of the invention.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
As shown in Figure 1, a kind of active power for wind power extremum extracting method, this method comprises the following steps:
S1, read wind-powered electricity generation climbing detection as a result, by climbing top of the slope and bottom of slope be divided into maximum and minimum respectively
Obtain two extreme values are integrated into extreme value optimal time threshold range and find more excellent extreme value substitution by set, wherein further include:
Parameter needed for reading active power for wind power extremum extracting；Active power for wind power numerical value is read and handled, normalized wind-powered electricity generation is formed
Power sequence, and parameter includes: the installed capacity P of wind power plantCap, extreme value optimal time threshold alpha, prolongation threshold of extreme value
Value β, extreme value once supplement amplitude threshold δ, filtration time threshold epsilon of extreme value, extreme value secondary filter time thresholdExtreme value two
Secondary filtering amplitude threshold γ, extreme value secondary supplement time threshold λ, extreme value secondary supplement amplitude threshold σ, wherein further including specific
Step:
S11 traverses very big value set, seeks in the extreme value optimal time threshold range of the maximum to each maximum
Look for a maximum value；
S12, if the time threshold of the maximum and the maximum value of searching is unequal, in very big value set, to find
Maximum value replace the maximum；Otherwise S11 is returned to, continues to traverse very big value set, terminates until traversing, jumps to S13；
S13 traverses minimum value set, seeks in the extreme value optimal time threshold range of the minimum to each minimum
Look for a minimum value；
S14, if the time threshold of the minimum and the minimum value of searching is unequal, in minimum value set, to find
Minimum value replace the minimum；Otherwise S13 is returned to, continues to traverse minimum value set, until traversal terminates.
S2 traverses two extreme value set in S1, to each extreme value, in the extreme value optimal time threshold value model of the extreme value respectively
The more excellent extreme value substitution of interior searching is enclosed, obtains two new extreme value set, specific steps therein are as follows: S21 traverses two poles in S1
Value set, if the extreme value is maximum, carries out S22 to each extreme value；If the extreme value is minimum, S24 is carried out, until
Traversal terminates；
S22, judges whether maximum left side point performance number in original power sequence is greater than the maximum, if more than then
Using the point as newest maximum, continuation traverses to the left, until the point for encountering smaller than newest maximum terminates, or returns to S21；
Otherwise S23 is carried out；
S23, judges whether the right point power in original power sequence of the maximum in S21 is greater than the maximum, if greatly
In then using the point as newest maximum, continuation is traversed to the right, until the point for encountering smaller than newest maximum terminates, or return
S21；
S24, judges whether the left side point power in original power sequence of the minimum in S21 is less than the minimum, if small
In then using the point as newest minimum, continuation traverses to the left, until the point for encountering bigger than newest minimum terminates, or return
S21；Otherwise S25 is carried out；
S25, judges whether the right point power in original power sequence of the minimum in S21 is less than the minimum, if small
In then using the point as newest minimum, continuation is traversed to the right, until the point for encountering bigger than newest minimum terminates, or return
S21；
S3 supplements new extreme value, specific steps therein to two new extreme value set are obtained in S2 are as follows:
S31 traverses the set of two extreme values, extreme value adjacent to every two, if the difference of two adjacent extreme values is greater than or waits
In prolongation threshold value of extreme value, then S32 is carried out；Otherwise S31 is repeated, continues traversal until terminating；
S32 finds in S31 power maximum number of points in the period locating for two adjacent extreme values in original power sequence
Value and power smallest point numerical value；
S33, if the difference of power maximum point numerical value and power smallest point numerical value is greater than or equal to extreme value and once supplements amplitude
Power maximum point numerical value is then inserted into very big value set by threshold value, and power smallest point numerical value is inserted into minimum value set；Otherwise it returns
S31；
S4 is traversed in S3 supplement two extreme value set after new extreme value respectively, is compared, selects to adjacent extreme value in the same direction
One optimal extreme value forms two new extreme value set, specific steps therein are as follows:
S41 traverses very big value set, to every two adjacent maximum, if minimum is not present between the two, calculates two
The time difference of person carries out S42；Otherwise continue to traverse, terminate until traversing, go to S43.
S42 will be two adjacent if the time difference of the two is less than or equal to filtration time threshold value of extreme value
Lesser maximum is removed from very big value set in maximum；Otherwise S41 is gone to, continues to traverse very big value set；
S43 traverses minimum value set, to every two adjacent minimum, if maximum is not present between the two, calculates two
The time difference of person carries out S44；Otherwise continue traversal until terminating；
S44 will be two adjacent if the time difference of the two is less than or equal to filtration time threshold value of extreme value
Biggish minimum is removed from minimum value set in minimum；Otherwise S43 is gone to, continues to traverse minimum value set.
S5 traverses the two new extreme value set formed in S4, optimizes processing, tool therein to two extreme value set
Body step are as follows:
S51, traverses extreme value set, and extreme value adjacent to every two carries out S52 if the two is contrary；Otherwise it weighs
Multiple S51 continues traversal until terminating；
S52, if the time difference of two adjacent reversed extreme values is less than time threshold, and difference in magnitude is less than amplitude threshold, then
Two extreme values are deleted from extreme value set, otherwise return to S51.
S6 traverses two extreme value set in S5 after optimization processing respectively, is inserted into phase to two adjacent extreme values in the same direction
Antipole value, wherein specific steps are as follows: S61 traverses very big value set, to every two adjacent maximum, if being not present between the two
Minimum then calculates the time difference of the two, carries out S62；Otherwise continue to traverse, terminate until traversing, go to S63；
S62, if the time difference of the two is greater than or equal to extreme value secondary supplement time threshold, in two adjacent poles
Find a minimum point in the big value period, if two maximum amplitude thresholds respectively with the amplitude threshold of the minimum value
The minimum value of absolute difference is both greater than amplitude threshold, then the minimum point is inserted into minimum value set；Otherwise S61, continuation time are returned
Go through very big value set；
S63 traverses minimum value set, to every two adjacent minimum, if maximum is not present between the two, calculates two
The time difference of person carries out S64；Otherwise continue traversal until terminating；
S64, if the time difference of the two is greater than or equal to extreme value secondary supplement time threshold, in two adjacent poles
A maximum of points is found in the small value period, if two minimum amplitude thresholds respectively with the amplitude threshold of the maximum value
The minimum value of absolute difference is both greater than amplitude threshold, then the maximum of points is included into very big value set；Otherwise S63, continuation time are gone to
Go through minimum value set.
As shown in Fig. 2, a kind of active power for wind power extremum extracting system, which includes: extreme value primary election module, extreme value tune
Mould preparation block, extreme value complementary module, extreme value comparison module, extremal optimization processing module and extreme value are inserted into module；
Extreme value primary election module, for wind-powered electricity generation read climbing detection as a result, by climbing top of the slope and bottom of slope be divided into respectively
Obtain two extreme values are integrated into and find more excellent extreme value in extreme value optimal time threshold range and replace by maximum and minimum value set
Generation；Extreme value primary election module is also used to parameter needed for obtaining extremum extracting and for reading wind power initial data, by wind-powered electricity generation function
Rate data normalization；
Extreme value adjusts module, for traversing two obtained after extreme value optimizing the extreme value collection in extreme value primary election module
It closes, and two extreme value set is adjusted by extreme value definition；
Extreme value complementary module, for carrying out new extreme value supplement to two extreme value set after extreme value adjusts resume module；
Extreme value comparison module, for traverse extreme value complementary module processing two extreme value set, to adjacent extreme value in the same direction into
Row compares, and selects an optimal extreme value, forms two new extreme value set；
Extremal optimization processing module, two new extreme value set for being formed to extreme value comparison module, to two extreme values
Set optimizes processing；
Extreme value is inserted into complementary module, for two extreme value set after extremal optimization processing module optimization processing, in phase
Opposite pole value is inserted between adjacent two extreme values in the same direction.
Embodiment
A kind of active power for wind power extremum extracting method, this method comprises the following steps:
S1, parameter needed for reading extremum extracting, wherein parameter includes: the installed capacity P of wind power plantCap, extreme value optimal time
Threshold alpha, prolongation threshold value beta of extreme value, extreme value once supplement amplitude threshold δ, filtration time threshold epsilon of extreme value, extreme value
Secondary filter time thresholdExtreme value secondary filter amplitude threshold γ, extreme value secondary supplement time threshold λ, extreme value secondary supplement
Amplitude threshold σ；
S2, read and processing active power for wind power numerical value, form normalized wind power sequence, wherein the step of it is specific
Include:
S21 reads original power sequence { (T0,P0),(T1,P1),...,(Tn,Pn), T in formulai(0≤i≤n) is i-th
The time of a point, unit are second, Pi(0≤i≤n) is i-th point of power；
S22 normalizes original wind power, and calculation formula is as follows:
Pi'=Pi/PCap
In formula, Pi' for normalization after active power, PiActual power, P for i-th pointCapFor wind energy turbine set installed capacity；
S3, read climbing testing result, by climbing top of the slope and bottom of slope be divided into maximum and minimum value set respectively；
As shown in figure 3, S4, traverses two extreme value set, to each extreme value, in the optimal time threshold value model of its extreme value respectively
The more excellent extreme value substitution of interior searching is enclosed, wherein specific step are as follows:
S41 traverses very big the value set { (T in S30,P0'),...,(Tn,Pn'), to each maximum (Ti,Pi'),
[max(0,Ti-α),min(Tn,Ti+ α)] in range, find a maximum value (Tj,Pj')；
S42, if Ti≠Tj, then in very big value set, with (Tj,Pj') replace (Ti,Pi')；Otherwise S41, continuation time are returned to
Very big value set is gone through, terminates until traversing, jumps to S43；
S43 traverses minimum value set { (T0,P0'),...,(Tn,Pn'), to each minimum (Ti,Pi'),In range, a minimum value (T is foundj,Pj')；
S44, if Ti≠Tj, then in minimum value set, with (Tj,Pj') replace (Ti,Pi')；Otherwise S43, continuation time are returned to
Minimum value set is gone through, until traversal terminates；
As shown in figure 4, S5, defines adjustment extreme value by extreme value comprising following steps:
S51 traverses extreme value the set { (T in S40,P0'),...,(Tn,Pn'), to each extreme value (Ti,Pi'), if it is
Maximum then carries out S52；Otherwise S54 is carried out, until traversal terminates；
S52 judges (Ti,Pi') whether left side point power is greater than P in original power sequencei', if more than then the point is made
For newest maximum, continuation traverses to the left, until encountering the point or end smaller than newest maximum, is replaced with newest maximum
(Ti,Pi'), return to S51；Otherwise S53 is carried out；
S53 judges (Ti,Pi') whether the right point power is greater than P in original power sequencei', if more than then the point is made
For newest maximum, continuation is traversed to the right, until the point for encountering smaller than newest maximum terminates, with newest maximum replacement (Ti,
Pi'), or return to S51；
S54 judges (Ti,Pi') whether left side point power is less than P in original power sequencei', the point is made if being less than
For newest minimum, continuation traverses to the left, until encountering the point or end bigger than newest minimum, is replaced with newest minimum
(Ti,Pi'), return to S51；Otherwise S55 is carried out；
S55 judges (Ti,Pi') whether the right point power is less than P in original power sequencei', the point is made if being less than
For newest minimum, continuation is traversed to the right, until encountering the point or end bigger than newest minimum, is replaced with newest minimum
(Ti,Pi'), return to S51；
As shown in figure 5, S6, supplements new extreme value when adjacent extreme value time gap is excessive comprising following steps:
S61 traverses extreme value the set { (T in S50,P0'),...,(Tn,Pn'), extreme value (T adjacent to every twoi,Pi')
(Ti+1,Pi+1'), if Ti+1-Ti>=β then carries out S62；Otherwise S61 is repeated, continues traversal until terminating；
S62 finds (T in original power sequencei,Ti+1) power maximum point (T in the periodmax,Pmax') and power is most
Dot (Tmin,Pmin')；
S63, if Pmax'-Pmin' >=δ, then by (Tmax,Pmax') the very big value set of insertion, by (Tmin,Pmin') insertion pole
Small value set；Otherwise S61 is returned；
As shown in fig. 6, S7, traverses two extreme value set in S6 respectively, to adjacent extreme value in the same direction, if not pressing from both sides wherein opposite
Extreme value, and the two time difference is less than certain value, only retains an optimal extreme value comprising following steps:
S71 traverses very big the value set { (T in S60,P0'),...,(Tn,Pn'), to every two adjacent maximum
(Ti,Pi') and (Ti+1,Pi+1'), if minimum is not present between the two, calculate the time difference Δ t=T of the twoi+1-Ti, carry out
S72；Otherwise continue to traverse, terminate until traversing, go to S73；
S72, if Δ t≤ε, by (Ti,Pi') and (Ti+1,Pi+1') in lesser point removed from very big value set；It is no
S71 is then gone to, continues to traverse very big value set；
S73 traverses minimum value set { (T0,P0'),...,(Tn,Pn'), to every two adjacent minimum (Ti,Pi')
(Ti+1,Pi+1'), if maximum is not present between the two, calculate the time difference Δ t=T of the twoi+1-Ti, carry out S74；It is no
Then continue traversal until terminating；
S74, if Δ t≤ε, by (Ti,Pi') and (Ti+1,Pi+1') in biggish point removed from minimum value set；It is no
S73 is then gone to, continues to traverse minimum value set；
As shown in fig. 7, S8, whole extreme value set, erasing time and difference in magnitude are traversed away from all little adjacent reversed extreme value,
It includes the following steps:
S81 traverses extreme value the set { (T in S70,P0'),...,(Tn,Pn'), extreme value (T adjacent to every twoi,Pi')
(Ti+1,Pi+1'), if the two is contrary, carry out S82；Otherwise S81 is repeated, continues traversal until terminating；
S82, ifAnd | Pi+1'-Pi|≤γ, then by (Ti,Pi') and (Ti+1,Pi+1') from extreme value set
Middle rejecting；Otherwise S81 is returned；
As shown in figure 8, S9, traverses two extreme value set respectively, and to adjacent extreme value in the same direction, if not pressing from both sides opposite extreme value wherein,
And the two time difference is greater than certain value, then is inserted into an opposite extreme value between the two comprising following steps:
S91 traverses very big the value set { (T in S80,P0'),...,(Tn,Pn'), to every two adjacent maximum
(Ti,Pi') and (Ti+1,Pi+1'), if minimum is not present between the two, calculate the time difference Δ t=T of the twoi+1-Ti, carry out
S92；Otherwise continue to traverse, terminate until traversing, go to S93；
S92, if Δ t > λ, in (Ti,Ti+1) between find a minimum point (Tm,Pm'), if min (| Pi'-Pm'
|,|Pi+1'-Pm' |) > σ, then by (Tm,Pm') it is included into minimum value set；Otherwise S91 is gone to, continues to traverse very big value set；
S93 traverses minimum value set { (T0,P0'),...,(Tn,Pn'), to every two adjacent minimum (Ti,Pi')
(Ti+1,Pi+1'), if maximum is not present between the two, calculate the time difference Δ t=T of the twoi+1-Ti, carry out S94；It is no
Then continue traversal until terminating；
S94, if Δ t > λ, in (Ti,Ti+1) between find a maximum of points (Tm,Pm').IfThen by (Tm,Pm') it is included into very big value set；Otherwise S93 is gone to, continues to traverse pole
Small value set.
In the present specification, the schematic representation of the above terms does not necessarily have to refer to the same embodiment or example.
Moreover, particular features, structures, materials, or characteristics described can be in any one or more of the embodiments or examples with suitable
Mode combines.In addition, without conflicting with each other, those skilled in the art can be by difference described in this specification
The feature of embodiment or example and different embodiments or examples is combined.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of active power for wind power extremum extracting method, which is characterized in that the detection method includes the following steps:
S1, read wind-powered electricity generation climbing detection as a result, by climbing top of the slope and bottom of slope be divided into maximum and minimum collection respectively
It closes, obtain two extreme values is integrated into extreme value optimal time threshold range and find more excellent extreme value substitution;
S2, respectively traverse S1 in carry out extreme value optimizing after two extreme value set, and by extreme value definition to two extreme value set into
Row adjustment;
S3 supplements new extreme value to rear two new extreme value set are adjusted in S2；
S4 is traversed in S3 supplement two extreme value set after new extreme value respectively, is compared to adjacent extreme value in the same direction, selects one
A optimal extreme value forms two new extreme value set；
S5 traverses the two new extreme value set formed in S4, optimizes processing to two extreme value set；
S6 traverses two extreme value set in S5 after optimization processing respectively, is inserted into opposite pole to two adjacent extreme values in the same direction
Value；
In the S2 further include:
S21 is traversed carry out two extreme value set after extreme value optimizing in S1 respectively, to each extreme value, if the extreme value is maximum,
Then carry out S22；If the extreme value is minimum, S24 is carried out, until traversal terminates；
S22, judges whether maximum left side point performance number in original power sequence is greater than the maximum, if more than then should
Point is used as newest maximum, and continuation traverses to the left, until the point for encountering smaller than newest maximum terminates, or returns to S21；Otherwise
Carry out S23；
S23, judges whether the right point power in original power sequence of the maximum in S21 is greater than the maximum, if more than then
Using the point as newest maximum, continuation is traversed to the right, until the point for encountering smaller than newest maximum terminates, or returns to S21；
S24, judges whether the left side point power in original power sequence of the minimum in S21 is less than the minimum, if being less than
Using the point as newest minimum, continuation traverses to the left, until the point for encountering bigger than newest minimum terminates, or returns to S21；
Otherwise S25 is carried out；
S25, judges whether the right point power in original power sequence of the minimum in S21 is less than the minimum, if being less than
Using the point as newest minimum, continuation is traversed to the right, until the point for encountering bigger than newest minimum terminates, or returns to S21；
Include: in the S3
S31 traverses the set of two extreme values in S2, extreme value adjacent to every two, if the difference of two adjacent extreme values is greater than
Between threshold value, then carry out S32；Otherwise S31 is repeated, continues traversal until terminating；
S32, in original power sequence, find in S31 in the period locating for two adjacent extreme values power maximum number of points value and
Power smallest point numerical value；
S33, if the difference of power maximum point numerical value and power smallest point numerical value is greater than amplitude threshold, by power maximum point numerical value
It is inserted into very big value set, power smallest point numerical value is inserted into minimum value set；Otherwise S31 is returned；
Include: in the S5
S51, traverses extreme value set, and extreme value adjacent to every two carries out S52 if the two is contrary；Otherwise it repeats
S51 continues traversal until terminating;
S52, if the difference of two reversed adjacent extreme values is less than time threshold, and range value is less than amplitude threshold, then by two phases
Adjacent extreme value is rejected from extreme value set；Otherwise S51 is returned；
Include: in the S6
Both S61 traverses very big value set, to every two adjacent maximum, if minimum is not present between the two, calculate
Time difference carries out S62；Otherwise continue to traverse, terminate until traversing, go to S63；
S62 is found within two adjacent maximum periods if the time difference of the two is greater than or equal to time threshold
One minimum point, if two maximum amplitude thresholds respectively with the minimum value of the absolute difference of the amplitude threshold of the minimum value all
Greater than amplitude threshold, then the minimum point is inserted into minimum value set；Otherwise S61 is returned, continues to traverse very big value set；
Both S63 traverses minimum value set, to every two adjacent minimum, if maximum is not present between the two, calculate
Time difference carries out S64；Otherwise continue traversal until terminating；
S64 is found within two adjacent minimum periods if the time difference of the two is greater than or equal to time threshold
One maximum of points, if two minimum amplitude thresholds respectively with the minimum value of the absolute difference of the amplitude threshold of the maximum value all
Greater than amplitude threshold, then the maximum of points is included into very big value set；Otherwise S63 is gone to, continues to traverse minimum value set.
2. a kind of active power for wind power extremum extracting method according to claim 1, which is characterized in that also wrapped in the S1
It includes: parameter needed for reading active power for wind power extremum extracting；Original power sequence is read, and by original power sequence normalization.
3. a kind of active power for wind power extremum extracting method according to claim 2, which is characterized in that also wrapped in the S1
It includes:
S11 traverses very big value set, to each maximum, in the extreme value optimal time threshold range of the maximum, finds one
A maximum value；
S12, if the time threshold of the maximum and the maximum value of searching is unequal, in very big value set, most with searching
Big value replaces the maximum；Otherwise S11 is returned to, continues to traverse very big value set, terminates until traversing, jumps to S13；
S13 traverses minimum value set, to each minimum, in the extreme value optimal time threshold range of the minimum, finds one
A minimum value；
S14, if the time threshold of the minimum and the minimum value of searching is unequal, in minimum value set, most with searching
Small value replaces the minimum；Otherwise S13 is returned to, continues to traverse minimum value set, until traversal terminates.
4. a kind of active power for wind power extremum extracting method according to claim 3, which is characterized in that wrapped in the S4
It includes:
S41 traverses the very big value set in S3, to every two adjacent maximum, if minimum is not present between the two, calculates
The time difference of the two carries out S42；Otherwise continue to traverse, terminate until traversing, go to S43；
S42, if the time difference of the two is less than time threshold, by maximum lesser in two adjacent maximum from pole
It is removed in big value set；Otherwise S41 is gone to, continues to traverse very big value set；
Both S43 traverses minimum value set, to every two adjacent minimum, if maximum is not present between the two, calculate
Time difference carries out S44；Otherwise continue traversal until terminating；
S44, if the time difference of the two is less than time threshold, by minimum biggish in two adjacent minimums from pole
It is removed in small value set；Otherwise S43 is gone to, continues to traverse minimum value set.
5. a kind of active power for wind power extremum extracting system, which is characterized in that apply the described in any item wind-powered electricity generations of claim 1-4
Active power extremum extracting method, the system include: extreme value primary election module, extreme value adjustment module, extreme value complementary module, ratio of extreme values
Module is inserted into compared with module, extremal optimization processing module and extreme value；
The extreme value primary election module, for read wind-powered electricity generation climbing detection as a result, by climbing top of the slope and bottom of slope be divided into respectively
Obtain two extreme values are integrated into and find more excellent extreme value in extreme value optimal time threshold range and replace by maximum and minimum value set
Generation；
The extreme value adjusts module, for traversing two obtained after extreme value optimizing the extreme value collection in extreme value primary election module
It closes, and two extreme value set is adjusted by extreme value definition；
The extreme value complementary module, for carrying out new extreme value supplement to two extreme value set after extreme value adjusts resume module；
The extreme value comparison module, for traverse extreme value complementary module processing two extreme value set, to adjacent extreme value in the same direction into
Row compares, and selects an optimal extreme value, forms two new extreme value set；
The extremal optimization processing module, two new extreme value set for being formed to extreme value comparison module, to two extreme values
Set optimizes processing；
The extreme value is inserted into module, for two extreme value set after extremal optimization processing module optimization processing, adjacent two
Opposite pole value is inserted between a extreme value in the same direction.
6. a kind of active power for wind power extremum extracting system according to claim 5, which is characterized in that the device also wraps
Include: the extreme value primary election module is also used to parameter needed for obtaining extremum extracting and for reading wind power initial data, by wind
Electrical power data normalization.
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