CN103758696B - Aerogenerator unit safe status evaluation method based on SCADA temperature parameter - Google Patents

Abstract

The invention discloses a kind of aerogenerator unit safe status evaluation method based on SCADA temperature parameter that belongs to device security status evaluation technical field. First carry out the selected of SCADA temperature parameter; Then analyze the temperature parameter being associated with the each system failure of wind-powered electricity generation unit, structure comprises the relevance between duty parameter and the SCADA temperature parameter of environment temperature and wind speed, determine the standard that unit operation operating mode is divided, and the Gauss model of Criterion, as the reference model of evaluating unit operation situation; By contrasting with standard Gauss model, the degree of deviation of calculated curve and master pattern, thereby the operation conditions of measurement unit. The present invention promotes the utilization rate to wind-powered electricity generation unit monitoring level, raising equipment, effectively reduces operating cost. Set up reliable, effective wind-powered electricity generation unit device security status evaluation mechanism, avoided the deterioration of unit hidden danger to fault and accident, formed aerogenerator unit safe, stable, efficient operating environment.

Description

Aerogenerator unit safe status evaluation method based on SCADA temperature parameter

Technical field

The invention belongs to device security status evaluation technical field, particularly a kind of based onSCADA (SupervisoryControlAndDataAcquisition, data acquisition and supervisor control)The aerogenerator unit safe status evaluation method of temperature parameter is by wind-powered electricity generation unit SCADA is collected specificallyProcessing and the calculating of temperature data, wind-powered electricity generation unit device security situation is evaluated.

Background technology

Wind generating technology is because the feature of its low pollution, environmental protection and sustainable development becomes the world todayThe main flow energy in new forms of energy development tide. Along with wind-powered electricity generation unit is to the future development of large single-machine capacity, wind turbineThe 26S Proteasome Structure and Function of group equipment is day by day complicated, and wind-powered electricity generation enterprise wants for normal, the safety of equipment, even runningAsk more and more higher. The operation and maintenance level that wind-powered electricity generation enterprise must constantly promote unit ensures the height of wind-powered electricity generation unitEffect safe handling.

Because the cost of wind-powered electricity generation unit is higher, and installation site is all the area remote, environment is severe, hands overLogical inconvenience brought great difficulty to operation and maintenance, and these factors become wind-powered electricity generation industry and pursue the efficient output valueObstacle. The larger cost of single-machine capacity of wind-powered electricity generation unit is higher, higher to the operation stability requirement of unit, works as windWhen electric field spare part is not enough, once generation unit fault tends to cause the shutdown of unit, cause certain economy to damageLose. Under this background, how to utilize effective monitoring of equipment technology, signal processing technology and data miningTechnology realizes the evaluation of wind-powered electricity generation unit equipment health status, and scenting a hidden danger early, prevents that hidden danger from developing into faultAnd accident, and adjust operation and arrangement maintenance in advance, become focus and technological difficulties that wind-powered electricity generation industry is paid close attention to.

The condition monitoring and fault diagnosis that develops into wind-powered electricity generation unit of vibration monitoring and acoustic monitoring technology providesEffectively technical basis, but vibration monitoring often need to install vibration monitoring measuring point additional on wind-powered electricity generation unit, invisibleThe middle O&M cost that increases wind-powered electricity generation unit, and acoustic monitoring is often used the method for off-line monitoring, is difficult to realizeThe on-line operation state evaluation of wind-powered electricity generation unit. Under this background, numerous research institutions and scholar start to focus on SCADAThe research of data, associated by between the deep research SCADA data of data digging method and operating states of the unitsProperty, thus the stable degree of unit reflected by SCADA data mining Output rusults, wherein temperature parameterIt is often closely bound up with the operation conditions of unit typical components as most important performance parameter in SCADA data,The parameters such as such as pitch motor temperature, gear case oil liquid temp, bearing temperature are often with pitch motor, gear-boxAnd the running status of the each bearing of unit is closely related. The present invention intends by unique SCADA data probability statisticsAnalyze the abnormal conditions of SCADA data with data digging method, thereby reflect the operation of the each parts of wind-powered electricity generation unitSituation. What the present invention built whereby is a kind of wind-powered electricity generation unit on-line operation shape based on SCADA data digging methodThe evaluation method of condition, advantage is additionally not increase under the prerequisite of monitoring equipment, realizes the on-line operation peace of unitFull evaluation.

Summary of the invention

The object of the invention is to propose a kind of aerogenerator unit safe status evaluation side based on SCADA temperature parameterMethod, is characterized in that, comprises the steps:

1) carry out the selected of SCADA temperature parameter;

2) analyze the temperature parameter being associated with the each system failure of wind-powered electricity generation unit, build and comprise environment temperature and windRelevance between duty parameter and the SCADA temperature parameter of speed, determines the standard that unit operation operating mode is divided;

3) according to above-mentioned steps 2) duty parameter and SCADA temperature parameter between relevance, matching operating mode ginsengInvariance curve between number and SCADA temperature parameter, and rejecting " abnormity point ";

4) according to above-mentioned steps 3) in the invariance curve characteristic of matching, formulate rationally based on intending analysis temperature parameterOperating condition interval division criterion;

5) the SCADA temperature data when training at least one annual unit normally to move, to divided working statusTemperature parameter in interval carries out probability density curve matching, and the Gauss model of Criterion, as evaluation machineThe reference model of group operation conditions;

6) carry out probability density matching, the temperature constructing for what evaluate SCADA temperature data in the periodParameter distribution curve, by contrasting with standard Gauss model, the degree of deviation of calculated curve and master pattern,Thereby weigh the operation conditions of unit.

The temperature parameter that described step 1) is selected, requires selected temperature parameter to want to reflect the fortune of equipmentRow state, be to the misoperation sensitivity of equipment; By analysis, specifically choose the gentle gear of gear box lubricating oilAxle box bearing temperature; Choose generator drive side bearing temperature, generator non-drive side bearing temperature and generator aroundGroup temperature, pitch-controlled system is chosen pitch motor temperature.

Described step 2), 3) be the operating condition difference based on wind-powered electricity generation unit, the temperature parameter of each subsystemAlso different, operating mode is corresponding with temperature; Environment temperature can affect the basal temperature of equipment; Heat radiation can affectThe operating temperature of equipment; And for mechanically operated wind-powered electricity generation unit, the rotating speed of air speed influence unit, and rotating speed is highThe low operating temperature that determines again equipment. Selected temperature parameter and wind speed and environment temperature are closely related, instituteTo select wind speed and environment temperature as the parameter of dividing operating mode.

Described step 4) formulate rational operating condition interval division criterion based on intending analysis temperature parameter; Comply withAccording to environment temperature and two parameters of wind speed, the operating condition of wind-powered electricity generation unit is segmented:

(1) historical data of environment temperature is added up, determine maximum temperature T_maxAnd T_min, according to not littleIn T_maxThe multiple of minimum 5 get the upper bound, be not more than T_minThe multiple of maximum 5 take off boundary. Taking 5 degrees Celsius asInterval, carries out first step division to operating condition, establishes and is divided into m section;

(2) undertaken after operating mode division by environment temperature, then according to wind speed, operating condition is carried out to second step division.With the incision wind speed V of wind-powered electricity generation unit_inFor lower bound, with the cut-out wind speed V of wind-powered electricity generation unit_outFor the upper bound, according to IECStandard, can be divided into n traffic coverage,

$n=\frac{V_{\mathrm{out}}-V_{\mathrm{in}}}{0.5}---\left(1\right)$

In formula, n is integer;

Ready-portioned traffic coverage is labeled as to O_ij, wherein i=1,2,3 ... m; J=1,2,3 ... n; To normally transportSample data under row operating mode puts corresponding operating mode space under by above-mentioned operating mode division methods, and each interval censored data is enteredRow probability density statistics, meets normal distribution; Its distribution is carried out to matching by Gaussian function, obtain fitting function

$F_{\mathrm{ij}}\left(x\right)=\frac{1}{\sqrt{2\mathrm{\π}}{\mathrm{\σ}}_{\mathrm{ij}}}{e}^{\frac{{(x-{\mathrm{\μ}}_{\mathrm{ij}})}^2}{2{{\mathrm{\σ}}_{\mathrm{ij}}}^2}}---\left(2\right)$

μ in formula_ijAnd σ_ijFor average and the standard deviation of the interval temperature parameter of corresponding operating mode, as standard value.

The invention has the beneficial effects as follows: wind-powered electricity generation unit device security situation is evaluated, instructed operation and dimensionRepair work, the initial data that the monitored data of the SCADA system that wind-powered electricity generation unit is carried is evaluated as safe condition,Promote the utilization rate to wind-powered electricity generation unit monitoring level, raising equipment, effectively reduce operating cost. Set up reliable,Effectively wind-powered electricity generation unit device security status evaluation mechanism, has avoided the deterioration of unit hidden danger to fault and accident,Aerogenerator unit safe, stable, efficient operating environment are formed.

Brief description of the drawings

Fig. 1 is the wind-powered electricity generation based on operating condition is divided and temperature parameter probability density curve fitness bias degree calculatesAssociation analysis result between unit safety situation and parameter;

Fig. 2 is for the running of wind generating set peace of calculating based on temperature parameter probability density curve fitness bias degreeThe flow chart of full status evaluation method.

Detailed description of the invention

Selecting of step 1 SCADA temperature parameter

The aerogenerator unit safe status evaluation method of analyzing based on temperature parameter, requires selected temperature parameterWant to reflect the running status of equipment, be to the misoperation sensitivity of equipment; By analysis, choose gear-boxLubricating oil temperature and box bearing temperature; Choose generator drive side bearing temperature, generator non-drive side bearingTemperature and generator windings temperature, pitch-controlled system is chosen pitch motor temperature (as shown in Figure 1).

The duty parameter that step 2 analysis is associated with selected SCADA temperature parameter

The operating condition difference of wind-powered electricity generation unit, the temperature parameter of each subsystem is also different, and operating mode is relative with temperatureShould; Environment temperature can affect the basal temperature of equipment; Heat radiation can affect the operating temperature of equipment; And forMechanically operated wind-powered electricity generation unit, the rotating speed of air speed influence unit, and rotating speed height has determined the work temperature of equipmentDegree. Selected temperature parameter and wind speed and environment temperature are closely related, so selected wind speed and environment temperature are doneFor dividing the parameter of operating mode.

Step 3 is removed zero energy point and singular point, sets up normal operating condition sample

In the service data of wind-powered electricity generation unit, comprising that unit is not worked, cancel closedown and singular value data point,These data are not the data of unit while normally moving, can exert an influence to the reliability of result, are setting up wind-powered electricity generationWhen sample data under unit normal running (operation) conditions, reject above-mentioned data.

The determination methods of the idle data point of unit is that power output is still 0 in the time that wind speed is greater than incision wind speedOr the point of negative value; Wind-powered electricity generation unit incision wind speed more than, power below cut-out wind speed from normal value be reduced to 0 orThe point of negative value is the cancel closedown point of wind-powered electricity generation unit, deletes the point (wind of these points and first three stopping processIn group of motors historical data base, data are the mean value of 10 minute datas, delete three points and are about the number of 30 minutesAccording to). In like manner, incision wind speed more than, wind-powered electricity generation unit power output by 0 or negative value cumulative be added on the occasion of mistakeJourney is startup more than wind-powered electricity generation unit incision wind speed, deletes the point of these points and rear three start-up courses; NumberAccording in singular point index strong point in abnormal data, may be due to the reason such as sensor fault, communication abnormalityProduce, should be removed. With reference to the Bin method in IEC standard, wind speed range according between 0.5m/sEvery being divided into some intervals (Bin), the integral multiple that the central value of each Bin is 0.5m/s. Calculate each intervalThe average value mu of temperature data and standard deviation sigma, can with the data point that is greater than μ+3 σ for being less than μ-3 σTo remove as singular point. Substantially deleted the data point larger to analyzing influence by these processing, can recognizeFor remaining data are the historical data under wind-powered electricity generation unit normal running (operation) conditions.

Collect every typhoon group of motors 1 year or above SCADA service data, reject unit and do not work, extremelyShut down and singular value data point, foundation can reflect the sample of normal operating condition of unit.

Step 4 subdividing running operating mode

As shown in Figure 2, because selected temperature parameter is relevant with two duty parameters of environment temperature to wind speed,Therefore the present invention segments the operating condition of wind-powered electricity generation unit according to environment temperature and two parameters of wind speed:

(1) historical data of environment temperature is added up, determine maximum temperature T_maxAnd T_min, according to not littleIn T_maxThe multiple of minimum 5 get the upper bound, be not more than T_minThe multiple of maximum 5 take off boundary. Taking 5 degrees Celsius asInterval, carries out first step division to operating condition, establishes and is divided into m section.

(2) undertaken after operating mode division by environment temperature, then according to wind speed, operating condition is carried out to second step division.With the incision wind speed V of wind-powered electricity generation unit_inFor lower bound, with the cut-out wind speed V of wind-powered electricity generation unit_outFor the upper bound, according to IECStandard, can be divided into n traffic coverage.

$n=\frac{V_{\mathrm{out}}-V_{\mathrm{in}}}{0.5}---\left(1\right)$

In formula, n is integer.

Ready-portioned traffic coverage is labeled as to O_ij, (i=1,2,3 ... m; J=1,2,3 ... n) will normally move workSample data under condition puts corresponding operating mode space under by above-mentioned operating mode division methods, and each interval censored data is carried out generallyRate Statistics of Density, meets normal distribution. Its distribution is carried out to matching by Gaussian function, obtain fitting function

$F_{\mathrm{ij}}\left(x\right)=\frac{1}{\sqrt{2\mathrm{\π}}{\mathrm{\σ}}_{\mathrm{ij}}}{e}^{\frac{{(x-{\mathrm{\μ}}_{\mathrm{ij}})}^2}{2{{\mathrm{\σ}}_{\mathrm{ij}}}^2}}---\left(2\right)$

μ in formula_ijAnd σ_ijFor average and the standard deviation of the interval temperature parameter of corresponding operating mode, as standard value.

The corresponding relation of setting up according to SCADA temperature parameter and machine set system, utilizes good operating unit 1 yearOr above SCADA temperature data carries out probability density statistical analysis, foundation to each system representation temperature ginseng respectivelyThe Gaussian distribution model of SCADA temperature parameter by stages in each correlation model, and simulate standard Gaussian distribution songWhether well line, as weighing the machine set system reference value of operation, can set up respectively pitch-controlled system, gear-box systemThe standard evaluation curve of system, generator system.

Step 5 is calculated total deviation degree C

Unit actual operating data (at least one month or more than) is divided into corresponding operating mode district by step 4Between, draw probability density distribution figure and the probability density curve of each interval early warning temperature data, and calculate each intervalThe Gauss model fitting function G of probability density distribution_ij(x). Define this interval fitting degree of deviation C_ij

$G_{\mathrm{ij}}=\underset{-\∞}{\overset{+\∞}{\∫}}|G_{\mathrm{ij}}\left(x\right)-F_{\mathrm{ij}}\left(x\right)|\mathrm{dx}---\left(3\right)$

Calculate the actual operating data distribution of all traffic coverages and the degree of deviation of master pattern, then for instituteSome traffic coverages calculate total deviation degree C

$C=\underset{i=1,j=1}{\overset{i=m,j=n}{\mathrm{\Σ}}}{P}_{\mathrm{ij}}{C}_{\mathrm{ij}}---\left(4\right)$

In formula, Pij is the percentage of data point in interval Oij, is tried to achieve by following formula

$P_{\mathrm{ij}}=\frac{N_{\mathrm{ij}}}{N}---\left(5\right)$

N in formula_ijFor dropping on interval O_ijInterior data point number, N is data point sum.

From equation (3), can show that wind-powered electricity generation unit is healthy in the time of C ≈ 0, as C > wind turbine is being just 0 timeDeparting from normal running status, health status is degenerated. And health status is degenerated more serious, the value of C becomesXiang Yuyue is large. Can judge intuitively by the size of C value the safe condition of wind-powered electricity generation unit equipment.

According to the scheme proposing in step 5, each machine set system model is carried out to unit operation evaluation, evaluate weekIssue is according to being at least the data of month, every month pitch-controlled system, gearbox system to wind-powered electricity generation unit and send outTemperature parameter in electric system carries out evaluation analysis, each monthly to pitch-controlled system, gearbox system and generatingThe matching total deviation of machine system is evaluated, and judges the security of operation state of the each system of wind-powered electricity generation unit.

Claims (4)

1. the aerogenerator unit safe status evaluation method based on SCADA temperature parameter, is characterized in that, comprises the steps:

1) carry out the selected of SCADA temperature parameter;

2) analyze the temperature parameter being associated with the each system failure of wind-powered electricity generation unit, build the relevance between duty parameter and the SCADA temperature parameter that comprises environment temperature and wind speed, determine the standard that unit operation operating mode is divided;

3) according to above-mentioned steps 2) duty parameter and SCADA temperature parameter between relevance, the invariance curve between matching duty parameter and SCADA temperature parameter, and reject " abnormity point ";

4) according to above-mentioned steps 3) in the invariance curve characteristic of matching, formulate rational operating condition interval division criterion based on intending analysis temperature parameter;

5) the SCADA temperature data when training at least one annual unit normally to move, carries out probability density curve matching to the temperature parameter in divided working status interval, and the Gauss model of Criterion, as the reference model of evaluating unit operation situation;

6) carry out probability density matching for what evaluate SCADA temperature data in the period, construct temperature parameter distribution curve, by contrasting with standard Gauss model, the degree of deviation of calculated curve and master pattern, thereby the operation conditions of measurement unit.

2. the aerogenerator unit safe status evaluation method based on SCADA temperature parameter according to claim 1, it is characterized in that, described step 1) selected temperature parameter, require selected temperature parameter to want to reflect the running status of equipment, be to the misoperation sensitivity of equipment; By analysis, specifically choose the gentle box bearing temperature of gear box lubricating oil; Choose generator drive side bearing temperature, generator non-drive side bearing temperature and generator windings temperature, pitch-controlled system is chosen pitch motor temperature.

3. the aerogenerator unit safe status evaluation method based on SCADA temperature parameter according to claim 1, it is characterized in that, described step 2), 3) be the operating condition difference based on wind-powered electricity generation unit, the temperature parameter of each subsystem is also different, operating mode is corresponding with temperature; Environment temperature can affect the basal temperature of equipment; Heat radiation can affect the operating temperature of equipment; And for mechanically operated wind-powered electricity generation unit, the rotating speed of air speed influence unit, and rotating speed height has determined the operating temperature of equipment; Selected temperature parameter and wind speed and environment temperature are closely related, so selected wind speed and environment temperature are as the parameter of dividing operating mode.

4. the aerogenerator unit safe status evaluation method based on SCADA temperature parameter according to claim 1, is characterized in that described step 4) formulate rational operating condition interval division criterion based on intending analysis temperature parameter; According to environment temperature and two parameters of wind speed, the operating condition of wind-powered electricity generation unit is segmented:

(1) historical data of environment temperature is added up, determine maximum temperature T_maxWith minimum temperature T_min, according to being not less than T_maxThe multiple of minimum 5 get the upper bound, be not more than T_minThe multiple of maximum 5 take off boundary; Taking 5 degrees Celsius as interval, operating condition is carried out to first step division, establish and be divided into m section;

(2) undertaken after operating mode division by environment temperature, then according to wind speed, operating condition is carried out to second step division, with the incision wind speed V of wind-powered electricity generation unit_inFor lower bound, with the cut-out wind speed V of wind-powered electricity generation unit_outFor the upper bound, according to IEC standard, can be divided into n traffic coverage,

In formula, n is integer;

Ready-portioned traffic coverage is labeled as to O_ij, wherein i=1,2,3 ... m; J=1,2,3 ... n; Put the sample data under accidental conditions under corresponding operating mode space by above-mentioned operating mode division methods, each interval censored data is carried out to probability density statistics, meet normal distribution; Its distribution is carried out to matching by Gaussian function, obtain fitting function

μ in formula_ijAnd σ_ijFor average and the standard deviation of the interval temperature parameter of corresponding operating mode, as standard value.