CN107654342A - A kind of abnormal detection method of Wind turbines power for considering turbulent flow - Google Patents
A kind of abnormal detection method of Wind turbines power for considering turbulent flow Download PDFInfo
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- CN107654342A CN107654342A CN201710860144.8A CN201710860144A CN107654342A CN 107654342 A CN107654342 A CN 107654342A CN 201710860144 A CN201710860144 A CN 201710860144A CN 107654342 A CN107654342 A CN 107654342A
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- 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
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/84—Modelling or simulation
Abstract
The invention discloses the detection method that a kind of Wind turbines power for considering turbulent flow is abnormal, first, determine the model of unit to be detected, then, the turbulence intensity of the type normal condition leeward is determined according to the monitoring data of same model unit, wind speed average value, quantitative relationship between the power of the assembling unit, then power during its normal work is estimated according to the monitoring data of unit to be detected, calculate and count whether drifted about on one section of continuous time degree and the probability of normal value of unit actual power to be detected exceedes defined scope, it is whether abnormal so as to detect the power of the assembling unit to be detected.Of the invention fine considers the influence of turbulence intensity, mean wind speed to unit power output, and Anomaly criterion is provided based on statistical method, has the characteristics of precision is high, False Rate is low；The data sample of establishing of unit normal power model only needs type corresponding, and engineering availability is good；Method can pure software realize, it is not necessary to additionally dispose hardware facility, cost is low, and engineering difficulty is low.
Description
Technical field
The present invention relates to Wind turbines power detection field, more particularly to a kind of Wind turbines power for considering turbulent flow is abnormal
Detection method.
Background technology
Influence unit power output factor it is numerous, including wind speed stability, anemobiagraph failure, blade pollution or freeze,
Transmission shaft failure, generating set resonant vibration, equipment corrosion, pitch-controlled system failure.High accuracy grasps the actual power efficiency of Wind turbines, favorably
In lifting wind power prediction precision, be advantageous to understand running of wind generating set state and health status in time.
Many researchs think that in the case of unit health, turbulent flow is the weight of Wind turbines power output deviation theory value
Want reason.Even if mean wind speed is identical, turbulence intensity is different, and the power output of unit is also by difference, wind power plant actual motion warp
Test and show, unit output-power fluctuation caused by turbulent flow reason up to theoretical power (horse-power) corresponding to mean wind speed 20%.
The abnormal judgement of Wind turbines power at this stage, typically by unit real output and unit manufacturer
The power curve of offer is contrasted to carry out.And the power curve that producer provides, mean wind speed is not often provided finely, and turbulent flow is strong
Degree and the corresponding relation of power output, its limited precision.Thus, power of the assembling unit exception is detected according to this power curve,
Precision problem be present.
Still further aspect, on Practical Project, the abnormal judgement of the existing power of the assembling unit, stress to investigate unit measured power and machine
The departure degree of group manufacturer power curve, and consider seldom deviateing probability, it is not rigorous enough.For example, set yaw, power network
Voltage brief fluctuations can cause the given power curve of the of short duration producer of deviation by a relatively large margin of Wind turbines output, but, when longer
Between investigate in scope, it is not high that it deviates probability.Thus, be present the defects of not rigorous enough in existing method, easily cause to unit
Whether power output, which can maintain, is normally judged by accident.
As can be seen here, on current Wind turbines power output method for detecting abnormality, precision deficiency be present, that easily judges by accident asks
Topic, it would be highly desirable to improve.If found a kind of for running on not stable enough the Wind turbines of wind speed, high accuracy, the identification of low False Rate
The abnormal method of unit power output, is to be currently needed for key problems-solving.
The content of the invention
In order to solve the above technical problems, the technical scheme that the present invention provides is：A kind of Wind turbines power for considering turbulent flow
Abnormal detection method, this method comprise the following steps：
Step 1：Unit to be detected is determined, the SCADA system normal operation of unit to be detected is determined, determines unit to be detected
Model；
Step 2：Extraction with unit to be detected with model unit in wind speed during normal operation, unit power output, air
Density data, influence of the atmospheric density fluctuation to unit power output is eliminated, and using data of the turbulence intensity as index to extraction
Carry out piecemeal；
Step 3：Turbulence intensity-wind speed average value-wind-powered electricity generation of the structure with unit to be detected with model unit wind in normal work
Unit power output equivalent relation table；
Step 4：According to the measurement wind speed of unit to be detected, with the normal output power of burst interpolation method calculating unit to be detected
Equivalent；
Step 5：Continuously count drift value and drift of the unit real output equivalent to be detected relative to normal power equivalent
Degree, judge whether unit power output to be detected is abnormal based on the statistical result.
The abnormal detection method of the Wind turbines power of above-mentioned consideration turbulent flow, the step 2 specifically include following steps：
Step 2-1：Extraction is same with unit to be detected in the SCADA system of wind power plant or other wind power plants where from unit to be detected
The following monitoring data of the unit of model：In unit during normal operation with 1 second unit wind speed for interval, unit output work
Rate, atmospheric density data, the time of these data accumulations covering are no less than 3000 hours；
Step 2-2：Influence of the atmospheric density fluctuation to unit power output is eliminated, specific practice is：By the machine in sample data
Group power output divided by the atmospheric density at corresponding moment, engrave unit power output equivalent when obtaining each；
Step 2-3：Piecemeal is carried out to the data of extraction using turbulence intensity as index, specifically includes following steps：
Step 2-3-1：The time that sample data covers is segmented at equal intervals, the length of each period is T, is calculated each
The turbulence intensity and wind speed average value of period windward, calculate the average value of upper unit power output equivalent of each period, phase
Being combined into data structure with the result of calculation on the period is（The turbulence intensity of wind, wind speed average value, Wind turbines power output
The average value of equivalent）Data point, taking for T can be adjusted as needed, and T default values are taken as 2 minutes, turbulence intensity in this patent
Computational methods are the standard deviation of wind speed divided by wind speed average value in the period in the investigated period；
Step 2-3-2：OrderFor turbulence intensity marker spacing,iFor nonnegative integer, the turbulence intensity kept watch belongs to sectionAll (turbulence intensity of wind, wind speed average value, the average value of Wind turbines power output equivalent) data
Point is divided into data blocki, and data blockiThe turbulence intensity of apoplexy is all rewritten as, obtain data blockiData point be（, wind speed average value, the average value of Wind turbines power output equivalent）, whereinFor positive number, can adjust as needed,Acquiescence
Value takes 0.01.
The abnormal detection method of the Wind turbines power of above-mentioned consideration turbulent flow, the step 3 specifically include following steps：
Step 3-1：To all data blocks obtained after the processing of claim 1 step 2, following operation is performed：OrderPut down for wind speed
Average marker spacing,jFor nonnegative integer, to data blockiIf wind speed average value belongs to section, then
Wind speed average value is rewritten as, then data blockiIn,Wind speed average value isData point for (,, Wind turbines are defeated
Go out the average value of power equivalent), whereinFor positive number,Value can be adjusted as needed,Default value takes 0.2m/s；
Step 3-2：Own after step 3-1 processing (,, the average value of Wind turbines power output equivalent) and in data point
Find outIt is identical andIdentical data point, calculates the average value of Section 3 in these data points, that is, calculates Wind turbines
The average value of the average value of power output equivalent, and formed data point (,,)；
Step 3-3：By it is each (,,) relation between data point be configured to turbulence intensity-wind speed average value of wind-
Wind turbines power output equivalent relation table, specific practice are：Build a tables of data, the first of tables of data to be classified as turbulent flow strong
Degree, is pressediFill in from small to large eachValue, the first behavior mean wind speed of table, is pressedjFill in from small to large eachValue,It is corresponding
Row andThe crossover location of corresponding row is filled inValue；
The abnormal detection method of the Wind turbines power of above-mentioned consideration turbulent flow, the step 4 specifically include following steps：
Step 4-1：Take unit T durations to be detected with 1 second for the unit wind speed at interval, unit power output, atmospheric density number
According to will average, obtain to be checked on T durations after the unit power output to be detected of acquirement divided by the atmospheric density at corresponding moment
Survey unit actual measurement power output equivalent, then, the unit wind speed to be detected based on acquirement, calculate on unit T durations to be detected
The turbulence intensity of windx, wind speed average valuey；
Step 4-2：Using burst interpolation method, the turbulence intensity for calculating unit to be detected in wind isxAnd wind speed average value isyWhen pair
The unit normal output power equivalent answered, specifically include following steps：
Step 4-2-1：Using the turbulence intensity of wind as abscissa, wind speed average value is that ordinate establishes a rectangular coordinate system, willx
WithyIt is mapped toPoint, by the wind in the turbulence intensity of wind-wind speed average value-Wind turbines power output equivalent relation table
Turbulence intensity and wind speed average value are mapped in rectangular coordinate system, corresponding rowIt is straight that the crossover location of corresponding row is mapped to this
In angular coordinate systemPoint, found in the rectangular coordinate system withFour closest points,,,, and find this four points respectively and put down in turbulence intensity-wind speed of wind
Corresponding performance number equivalent in average-Wind turbines power output equivalent relation table、、、；
Step 4-2-2：According toWithPosition relationship, using burst interpolation method determine, i.e.,：
If, that is, in pointThe top of line orOn line, then
If, that is,In pointThe bottom of line, then
The abnormal detection method of the Wind turbines power of above-mentioned consideration turbulent flow, the step 5 specifically include following steps：
Step 5-1：Power output equivalent is surveyed based on unit to be detectedNormally exported with the unit to be detected being calculated
Power equivalent, calculate power of the assembling unit drift value to be detected：
Step 5-2：Set power of the assembling unit drift threshold to be measuredIf, then unit output work to be detected is judged
Rate drift is exceeded, and preserves an exceeded record of unit power output drift to be detected, whereinSpan for [3%,
15%], can be adjusted as the case may be,Default value takes 5%；
Step 5-3：ContinuouslykIt is secondary to judge whether unit power output drift to be detected is exceeded, if meeting that following two counts bar
One of part, then judge that unit power output to be detected is abnormal, otherwise judge that the power of the assembling unit to be detected is normal：
Condition 1：ContinuouslykIn secondary detection, unit power output to be detected drift is exceeded have it is discontinuousmkIt is secondary, whereinmIt is statistics
Threshold value controlling elements,mValue can be set as needed,mSpan be [0.6,1]；
Condition 2：ContinuouslykIn secondary detection, unit power output drift to be detected is exceeded to be had continuouslynkIt is secondary, whereinnIt is statistics threshold
It is worth controlling elements, n values can be set as needed, and n span is [0.4,0.6]；
WhereinkValue can be adjusted as needed, butkValue is not less than 10,kDefault value take 20.
The technical effects of the invention are that：
1. considering the influence of turbulence intensity, mean wind speed to unit power output, the abnormal precision of detection power is high.
2. on unit power output abnormality determination method, combine unit power output drift size and drift frequency statistics
Value, influence of the enchancement factor to unit power output can be effectively avoided, reduce False Rate.
3. only required during unit normal work in the turbulence intensity of wind, wind speed average value, unit power output relationship modeling
With the data with unit to be detected with model unit, sample data easily gathers, and engineering availability is strong.
4. based on unit to be detected SCADA system data carry out power abnormality detection, method can pure software realize,
Hardware facility need not be additionally disposed, cost is low, and engineering difficulty is low.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Fig. 2 is burst interpolation schematic diagram.
Embodiment
Technical scheme is described in further detail with reference to Figure of description.
Step 1：Unit to be detected is determined, the SCADA system normal operation of unit to be detected is determined, determines to be detected
The model of unit.
Step 2：Extraction with unit to be detected with model unit wind speed during normal operation, unit power output,
Atmospheric density data, influence of the atmospheric density fluctuation to unit power output is eliminated, and be to index to extraction using turbulence intensity
Data carry out piecemeal, comprise the following steps that：
Step 2-1：Extraction is same with unit to be detected in the SCADA system of wind power plant or other wind power plants where from unit to be detected
The following monitoring data of the unit of model：In unit during normal operation with 1 second unit wind speed for interval, unit output work
Rate, atmospheric density data, the time of these data accumulations covering are no less than 3000 hours；
Step 2-2：Realize that the elimination atmospheric density described in step 2 fluctuates the influence to unit power output, specific method is such as
Under：By the unit power output in sample data divided by the atmospheric density at corresponding moment, unit power output is engraved when obtaining each
Equivalent；
Step 2-3：Realize and piecemeal, specific implementation side are carried out to the data of extraction using turbulence intensity as index described in step 2
Method comprises the following steps：
Step 2-3-1：The time that sample data covers is segmented at equal intervals, the length of each period is T, is calculated each
The turbulence intensity and wind speed average value of period windward, calculate the average value of upper unit power output equivalent of each period, phase
Being combined into data structure with the result of calculation on the period is（The turbulence intensity of wind, wind speed average value, Wind turbines power output
The average value of equivalent）Data point, taking for T can be adjusted as needed, and T default values are taken as 2 minutes, turbulence intensity in this patent
Computational methods are the standard deviation of wind speed divided by wind speed average value in the period in the investigated period；
Step 2-3-2：Make as turbulence intensity marker spacing,iFor nonnegative integer, the turbulence intensity kept watch belongs to sectionAll (turbulence intensity of wind, wind speed average value, the average value of Wind turbines power output equivalent) number
Strong point is divided into data blocki, and data blockiThe turbulence intensity of apoplexy is all rewritten as, obtain data blockiData point be
（, wind speed average value, the average value of Wind turbines power output equivalent）, whereinFor positive number, can adjust as needed,It is silent
Recognize value and take 0.01；
Step 3：Turbulence intensity-wind speed average value-wind-powered electricity generation of the structure with unit to be detected with model unit wind in normal work
Unit power output equivalent relation table, is comprised the following steps that：
Step 3-1：To all data blocks obtained after the processing of claim 1 step 2, following operation is performed：OrderPut down for wind speed
Average marker spacing,jFor nonnegative integer, to data blockiIf wind speed average value belongs to section, then
Wind speed average value is rewritten as, then data blockiIn,The data point that wind speed average value is for (,, Wind turbines output work
The average value of rate equivalent), whereinFor positive number,Value can be adjusted as needed,Default value takes 0.2m/s；
Step 3-2：Own after step 3-1 processing (,, the average value of Wind turbines power output equivalent) and in data point
Find outIt is identical andIdentical data point, calculates the average value of Section 3 in these data points, that is, calculates Wind turbines
The average value of the average value of power output equivalent, and formed data point (,,)；
Step 3-3：By it is each (,,) relation between data point be configured to turbulence intensity-wind speed average value of wind-
Wind turbines power output equivalent relation table, specific practice are：Build a tables of data, the first of tables of data to be classified as turbulent flow strong
Degree, is pressediFill in from small to large eachValue, the first behavior mean wind speed of table, is pressedjFill in from small to large eachValue,It is corresponding
The crossover location of row and corresponding row is filled inValue；
Step 4：According to the measurement wind speed of unit to be detected, with the normal output power of burst interpolation method calculating unit to be detected
Equivalent, comprise the following steps：
Step 4-1：Take unit T durations to be detected with 1 second for the unit wind speed at interval, unit power output, atmospheric density number
According to will average, obtain to be checked on T durations after the unit power output to be detected of acquirement divided by the atmospheric density at corresponding moment
Survey unit actual measurement power output equivalent, then, the unit wind speed to be detected based on acquirement, calculate on unit T durations to be detected
The turbulence intensity of windx, wind speed average valuey；
Step 4-2：Using burst interpolation method, the turbulence intensity for calculating unit to be detected in wind isxAnd wind speed average value isyWhen pair
The unit normal output power equivalent answered, specifically include following steps：
Step 4-2-1：Using the turbulence intensity of wind as abscissa, wind speed average value is that ordinate establishes a rectangular coordinate system, willx
WithyIt is mapped toPoint, by the wind in the turbulence intensity of wind-wind speed average value-Wind turbines power output equivalent relation table
Turbulence intensity and wind speed average value are mapped in rectangular coordinate system,Corresponding rowThe crossover location of corresponding row is mapped to
In the rectangular coordinate systemPoint, found in the rectangular coordinate system withFour closest points,,,, and turbulence intensity-wind speed of this four points in wind is found respectively
Corresponding power equivalent value in average value-Wind turbines power output equivalent relation table、、、；
Step 4-2-2：According toWithPosition relationship, using burst interpolation method determine, i.e.,：
If, that is, in point line top orOn line, then
If, that is,（x,y）In pointThe bottom of line, then
Step 5：Drift value and drift degree of the unit real output to be detected relative to normal power are continuously counted, is based on
The statistical result judges whether unit power output to be detected is abnormal, comprises the following steps：
Step 5-1：Power output equivalent is surveyed based on unit to be detectedNormally exported with the unit to be detected being calculated
Power equivalent, calculate power of the assembling unit drift value to be detected：
Step 5-2：Set power of the assembling unit drift threshold to be measuredIf, then unit power output to be detected is judged
Drift about exceeded, and preserve an exceeded record of unit power output drift to be detected, whereinSpan for [3%,
15%], can be adjusted as the case may be,Default value takes 5%；
Step 5-3：ContinuouslykIt is secondary to judge whether unit power output drift to be detected is exceeded, if meeting that following two counts bar
One of part, then judge that unit power output to be detected is abnormal, otherwise judge that the power of the assembling unit to be detected is normal：
Condition 1：ContinuouslykIn secondary detection, unit power output to be detected drift is exceeded have it is discontinuousmkIt is secondary, whereinmIt is statistics
Threshold value controlling elements,mValue can be set as needed,mSpan be [0.6,1]；
Condition 2：ContinuouslykIn secondary detection, unit power output drift to be detected is exceeded to be had continuouslynkIt is secondary, whereinnIt is statistics threshold
It is worth controlling elements, n values can be set as needed, and n span is [0.4,0.6]；
WhereinkValue can be adjusted as needed, butkValue is not less than 10,kDefault value take 20.
Claims (5)
1. a kind of abnormal detection method of Wind turbines power for considering turbulent flow, comprises the following steps：
Step 1：Unit to be detected is determined, the SCADA system normal operation of unit to be detected is determined, determines unit to be detected
Model；
Step 2：Extraction with unit to be detected with model unit in wind speed during normal operation, unit power output, air
Density data, influence of the atmospheric density fluctuation to unit power output is eliminated, and using data of the turbulence intensity as index to extraction
Carry out piecemeal；
Step 3：Turbulence intensity-wind speed average value-wind of the structure with unit to be detected with unit wind in normal work of model
Group of motors power output equivalent relation table；
Step 4：According to the measurement wind speed of unit to be detected, with the normal output power of burst interpolation method calculating unit to be detected
Equivalent；
Step 5：Drift value and drift degree of the unit real output to be detected relative to normal power are continuously counted, is based on
The statistical result judges whether unit power output to be detected is abnormal.
2. a kind of abnormal detection method of Wind turbines power for considering turbulent flow according to claim 1, the step 2 have
Body comprises the following steps：
Step 2-1：Extraction is same with unit to be detected in the SCADA system of wind power plant or other wind power plants where from unit to be detected
The following monitoring data of the unit of model：In unit during normal operation with 1 second unit wind speed for interval, unit output work
Rate, atmospheric density data, the time of these data accumulations covering are no less than 3000 hours；
Step 2-2：Influence of the atmospheric density fluctuation to unit power output is eliminated, specific practice is：By the machine in sample data
Group power output divided by the atmospheric density at corresponding moment, engrave unit power output equivalent when obtaining each；
Step 2-3：Piecemeal is carried out to the data of extraction using turbulence intensity as index, specifically includes following steps：
Step 2-3-1：The time that sample data covers is segmented at equal intervals, the length of each period is T, is calculated each
The turbulence intensity and wind speed average value of period windward, calculate the average value of upper unit power output equivalent of each period, phase
It is (turbulence intensity of wind, wind speed average value, Wind turbines power output to be combined into data structure with the result of calculation on the period
The average value of equivalent) data point, taking for T can be adjusted as needed, and T default values are taken as 2 minutes, turbulence intensity in this patent
Computational methods are the standard deviation of wind speed divided by wind speed average value in the period in the investigated period；
Step 2-3-2：OrderFor turbulence intensity marker spacing,iFor nonnegative integer, the turbulence intensity kept watch belongs to sectionAll (turbulence intensity of wind, wind speed average value, the average value of Wind turbines power output equivalent) number
Strong point is divided into data blocki, and data blockiThe turbulence intensity of apoplexy is all rewritten as, obtain data blockiData point be
（, wind speed average value, the average value of Wind turbines power output equivalent）, whereinFor positive number, can adjust as needed,It is silent
Recognize value and take 0.01.
3. a kind of abnormal detection method of Wind turbines power for considering turbulent flow according to claim 1, the step 3 have
Body comprises the following steps：
Step 3-1：To all data blocks obtained after the processing of claim 1 step 2, following operation is performed：OrderPut down for wind speed
Average marker spacing,jFor nonnegative integer, to data blockiIf wind speed average value belongs to section, then
Wind speed average value is rewritten as, then data blockiIn,Wind speed average value isData point for (,, Wind turbines power output
The average value of equivalent), whereinFor positive number,Value can be adjusted as needed,Default value takes 0.2m/s；
Step 3-2：Own after step 3-1 processing (,, the average value of Wind turbines power output equivalent) and in data point
Find outIt is identical andIdentical data point, calculates the average value of Section 3 in these data points, that is, calculates Wind turbines
The average value of the average value of power output equivalent, and formed data point (,,)；
Step 3-3：By it is each (,,) relation between data point is configured to turbulence intensity-wind speed average value-wind of wind
Group of motors power output equivalent relation table, specific practice are：A tables of data is built, the first of tables of data is classified as turbulence intensity,
PressiEach value is filled in from small to large, the first behavior mean wind speed of table, is pressedjFill in from small to large eachValue,Corresponding row andThe crossover location of corresponding row is filled inValue.
4. a kind of abnormal detection method of Wind turbines power for considering turbulent flow according to claim 1, the step 4 have
Body comprises the following steps：
Step 4-1：Take unit T durations to be detected with 1 second for the unit wind speed at interval, unit power output, atmospheric density number
According to will average, obtain to be checked on T durations after the unit power output to be detected of acquirement divided by the atmospheric density at corresponding moment
Survey unit actual measurement power output equivalent, then, the unit wind speed to be detected based on acquirement, calculate on unit T durations to be detected
The turbulence intensity of windx, wind speed average valuey；
Step 4-2：Using burst interpolation method, the turbulence intensity for calculating unit to be detected in wind isxAnd wind speed average value isyWhen pair
The unit normal output power equivalent answered, specifically include following steps：
Step 4-2-1：Using the turbulence intensity of wind as abscissa, wind speed average value is that ordinate establishes a rectangular coordinate system, willx
WithyIt is mapped toPoint, by the rapids of the wind in the turbulence intensity of wind-wind speed average value-Wind turbines power output equivalent relation table
Intensity of flow and wind speed average value are mapped in rectangular coordinate system,Corresponding rowIt is straight that the crossover location of corresponding row is mapped to this
In angular coordinate systemPoint, found in the rectangular coordinate system withFour closest points,,,, and turbulence intensity-wind speed of this four points in wind is found respectively
Corresponding power equivalent value in average value-Wind turbines power output equivalent relation table、、、；
Step 4-2-2：
If, that is,In pointThe top of line orOn line, then
If, that is, in pointThe bottom of line, then
。
5. a kind of abnormal detection method of the Wind turbines power of consideration turbulent flow according to claim 1, the step 5
Specifically include following steps：
Step 5-1：Power output equivalent is surveyed based on unit to be detectedWith the normal output work of unit to be detected being calculated
Rate equivalent, calculate power of the assembling unit drift value to be detected：
Step 5-2：Set power of the assembling unit drift threshold to be measuredIf, then unit power output to be detected is judged
Drift about exceeded, and preserve an exceeded record of unit power output drift to be detected, whereinSpan for [3%,
15%], can be adjusted as the case may be,Default value takes 5%；
Step 5-3：ContinuouslykIt is secondary to judge whether unit power output drift to be detected is exceeded, if meeting that following two counts bar
One of part, then judge that unit power output to be detected is abnormal, otherwise judge that the power of the assembling unit to be detected is normal：
Condition 1：ContinuouslykIn secondary detection, unit power output to be detected drift is exceeded have it is discontinuousmkIt is secondary, whereinmIt is statistics
Threshold value controlling elements,mValue can be set as needed,mSpan be [0.6,1]；
Condition 2：ContinuouslykIn secondary detection, unit power output drift to be detected is exceeded to be had continuouslynkIt is secondary, whereinnIt is statistics threshold
It is worth controlling elements, n values can be set as needed, and n span is [0.4,0.6]；
WhereinkValue can be adjusted as needed, butkValue is not less than 10,kDefault value take 20.
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| CN111207044A (en) * | 2018-11-22 | 2020-05-29 | 北京金风科创风电设备有限公司 | Method and device for diagnosing output power abnormity of wind generating set |
| CN111379671A (en) * | 2018-12-28 | 2020-07-07 | 北京金风科创风电设备有限公司 | Method and device for determining turbulence intensity |
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