CN104035331B - Unit running optimization instructs system and equipment thereof - Google Patents
Unit running optimization instructs system and equipment thereof Download PDFInfo
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Abstract
Unit running optimization involved in the present invention instructs system to use history optimization method to search out a series of optimized operation template according to productive target set in advance in history data, monitor quantity of parameters and the Key Performance Indicator of unit in real time, and optimized operation template immediate with operating mode compares, screening system sensing data and performance, calculate data find out and repeat optimal operation mode of operation, it is provided as meeting the data of the operational objective specified, is used in the operation conditions monitoring of system and equipment.Unit running optimization involved in the present invention instructs system and device to include the output line on the equipment of detection to be monitored, sensor and sensor, interface message processor (IMP), server；On the equipment of wherein said detection to be monitored, at least one sensor is installed；Wherein described set up in the server optimized operation template and output can repeat optimized operation operation parameter, complete unit operation optimization instruct.
Description
Technical field:
The present invention relates to generating set performance and optimize guidance technology field, particularly relate to employing and go through
History optimizing mode provides the technical field that machine group performance optimization instructs.
Background technology:
Pattern recognition (Pattern Recognition) refers to characterizing things or the various forms of phenomenon
(numerical value, word and logical relation) information process and analyze, with to things or existing
As the process being described, recognize, classify and explaining, it is the important of information science and artificial intelligence
Ingredient.Pattern recognition is commonly referred to as again pattern classification, asks from character and the solution of the problem of process
Angularly, pattern recognition is divided into the classification (Supervised having supervision to the method for topic
And unsupervised classification (Unsupervised Classification) two kinds Classification).Two
Person main difference is that, the classification belonging to each experiment sample is the most previously known.It is, in general, that
The classification having supervision needs to provide the sample of a large amount of known class.
Appliance computer carries out identification and classification to one group of event or process, the event that identified or
Process can be the concrete object such as word, sound, image, it is also possible to be that state, degree etc. are taken out
As object.These objects distinguish with the information of digital form, referred to as pattern information.
The class number that pattern recognition is classified is by specifically identifying that problem is determined.Sometimes, open
The classification number of reality cannot be learnt, after needing to identify the identified object of system repeatedly observation during the beginning
Determine.
PRS is applied in the monitoring of the running of system, needs in system
Equipment or actuator be adjusted, to optimal or intended operational objective can be reached.
Current domestic power plant is configured with real-time data base mostly when founding the factory, and i.e. provides the most
Know the sample of classification；And it is configured with Performance Calculation and power consumption analysis module, i.e. pattern information；
A large amount of real-time Performance Calculation and power consumption analysis are carried out.Power industry has also put into effect SIS standard
(DLT924 2005 thermal power plant plant level supervisory information system technical conditions), answer relevant
With having carried out specification.Real-time data base stores the history of big quantity sensor in system and equipment
Data and Performance Calculation result data.
It practice, these data in real-time data base represent the optimized operation shape of system a bit
State, some then represents the poor running status of system, therefore sensing data and Performance Calculation
Data all cannot be fully utilized.
Summary of the invention:
Unit running optimization involved in the present invention instructs system and equipment thereof by same system
The current data of sensor contrasts with history optimized operation status data, to find out current fortune
Row state and the difference of history optimized operation state, provide optimized direction to instruct unit operation.
In order to improve generating set performance, improve the economy of unit operation, involved in the present invention
Unit running optimization instruct system and equipment thereof to use history optimization method at history data
In search out a series of optimized operation template according to productive target set in advance, monitor in real time
The quantity of parameters of unit and Key Performance Indicator, and optimized operation template ratio immediate with operating mode
Relatively, it is provided that for meeting the operational objective specified, in the range of relevant parameter needs what is maintained at
Instruct, unit running optimization involved in the present invention instruct screening system sensing data and property
Can, calculate data and find out and repeat optimal operation mode of operation, will real-time data base store
The historical data of big quantity sensor and Performance Calculation result use excellent in the operation of system and equipment
In change.
Unit running optimization involved in the present invention instructs the device of system to include detection to be monitored
Output line on equipment, sensor and sensor, interface message processor (IMP), server；Wherein said
At least one sensor is installed, the signal output on described sensor on the equipment of detection to be monitored
Line is connected with interface message processor (IMP)；Interface message processor (IMP) is connected with server；Wherein set up in the server described
Optimized operation template and output can repeat the parameter of optimized operation operation, complete unit operation
Optimize and instruct.
Unit running optimization involved in the present invention instructs that system works overall procedure such as Fig. 1 institute
Showing, step is as follows:
Step one, 101 definition optimized operation operations.Optimized operation operation can be optimum performance,
EIAJ or minimum discharge, optimum operation operation is determined by sensor points or calculating point
Justice.
Step 2,102 in real-time data base, set up optimized operation template.Define according to step one
Optimized operation operation from real-time data base, search out optimized operation template；Finding optimum fortune
During row template, need to consider optimized operation operation and the persistent period of optimized operation operation and load
Stability.After optimized operation template has been searched, optimized operation template is stored as CSV literary composition
Part, described csv file stores on the server, it is established that the optimized operation template of system.
First operational approach has ready conditions from the real-time data base of unit operation and Performance Calculation result
Choose the parameter of several types；Next sets operational objective, its flow process as shown in Figure 2:
1,201 choose from the real-time data base and Performance Calculation result of unit operation include as follows
The parameter of several types:
1) the operating condition parameter of unit, environmental working condition parameter, including unit load, environment temperature
Degree, condenser circulating cooling coolant-temperature gage and power kind etc.；
2) unit and the performance indications of capital equipment, including unit generation efficiency, unit generation heat
Consumption rate, boiler efficiency, steam turbine cycle efficiency and each cylinder efficiency etc.；
3) the online loss analysis of unit, the heat consumption caused including main steam temperature and pressure divergence
The heat that heat consumption rate changes, unburned carbon in flue dust causes that rate change, excess air coefficient change cause
Consumption rate change etc.；
4) major parameter of unit, key equipment operational factor and affect the adjustable of unit performance
Parameter, as reheat steam temperature, reheated steam pressure, spray water flux, the secondary air flow of boiler,
After-flame air quantity etc..
In from real-time data base, the condition of the selected parameter of acquisition is modeling for the previous period, it is spaced
For the historical data 202 recorded in setting the time period, from real-time data base, i.e. obtain optimum operation
In the condition of template is modeling for the previous period, meet the history number of operational objective set in advance
According to.Within being 1 year or 2 years closest to the modeling time, historical data selected in this interval,
Ensure that status of equipment is close with current state so that the unit operation performance in optimized operation template
It is achieved that and the template set up be the optimized operation template that can reach.
2,203 set operational objective, extract optimized operation template and export to the CSV on server
In file 203.The runnability that the operational objective of optimized operation template generally includes unit is higher,
As in certain load curve, unit heat consumption rate should be less than specifying numerical value, emissions data is up to standard:
NOx<600ppm、CO<300ppm。
When extracting optimized operation template, history operating mode is continuous-stable operating mode, typically requires machine
Organizing the most continuous 2 hours to meet to set in operational objective, i.e. historical data sequence at least to have even
Continue 8 groups of operational objectives meeting setting.Finally, optimized operation template should cover in the whole year each
Kind of operating condition and various environmental working condition, be given in optimized operation template each parameter minima,
Maximum and meansigma methods, it is simple to compare with actual operation parameters.
Step 3, the real time data 104 and 105 of acquisition sensor defined in template.Needs make
From real-time data base, the real time data of respective sensor in template is read with Real-time data interface,
These data should be able to react the performance indications of unit current working and the running status of relevant device.
Step 4, find out closest to operating mode 103 in optimized operation template according to current working.
Closest to the difference 107 of operating mode in step 5, contrast current working and template.To current work
Condition and template carry out grouping comparison closest to operating mode, and marks the parameter of notable difference.
Unit running optimization involved in the present invention instructs system to be from real-time data base or DCS
Read system or equipment related sensor and calculate the real time data of point, further according to real time data
Environmental condition and operating condition and target setting, find out most suitable in optimized operation template base
Optimized operation template.
Owing to real-time working condition is poorer than optimized operation template, contrast real-time working condition and optimized operation template
The gap of property indices, find out the related sensor causing these gaps, and these
The operation mode of operation of sensor.By taking in real-time working condition close to optimized operation template
Operation make real time operation mode close to the method for operation of optimized operation template, such as Fig. 3, Fig. 4
Shown in:
1, data-interface reads real time data and obtains real-time meansigma methods 301
When determining that unit is in steady running condition, from real-time data base, read unit be correlated with
Operational factor and N minute nearest a period of time of Performance Calculation parameter interior data, average also
It is stored in data base, as real time execution floor data.
Owing to transient working condition disturbance factor is too much, and all main disturbance factors cannot be carried out
Well assessment, unit running optimization involved in the present invention instructs system to use steady working condition
Data.
2, optimized operation template 302 immediate with current working is found out
1) use previously selected parameter that template tentatively filters 401, as interval in load,
Optimized operation template is tentatively filtered by discharge index, ambient temperature interval etc., will run work
Condition is obvious and current operating condition is inconsistent or does not meets the optimized operation template filtration of operational objective
Go out.
2) the Conditions Matching weight 402 of operational factor is set.Weight definition is that parameter meets appointment
Characteristic is for finding the significance level of the optimized operation template best suited.The span of weight is
Positive integer between 1-9.
Three types is divided: concordance weight, low value priority weight, height for the weight of parameter configuration
Value priority weight:
Wherein said concordance weight is the stencil value of parameter with the concordance of instantaneous value for seeking
Look for the significance level of the optimized operation template best suited.Parameters weighting is arranged to concordance weight and uses
In parameter numerical value in optimized operation template with instantaneous value closer to the most satisfactory situation.
Wherein said low value priority weight is the stencil value size of parameter, best suits for searching
The significance level of optimized operation template.Parameters weighting is arranged to low value priority weight and exists for parameter
Numerical value in optimized operation template is the least more satisfactory situation.
Wherein said high level priority weight is the stencil value size of parameter, best suits for finding
The significance level of optimized operation template.Parameters weighting is arranged to high level priority weight for parameter
Numerical value in optimized operation template is the biggest more satisfactory situation.
Such as find unit load (representing with letter P) and ambient temperature (representing with tee)
Consistent with current operating condition, and the optimum fortune that heat consumption rate (representing with letter HR) is minimum
Row template, then, unit load and the higher concordance weight of ambient temperature can be given, and
And give the low value priority weight that in optimized operation template, heat consumption rate is certain.
3) according to the weight calculation that related sensor is set each optimized operation template and current working
Between the angle value that meets (use letter riRepresent).The calculation procedure meeting angle value is as follows:
Setting parameter unit load, ambient temperature, the actual value of heat consumption rate is respectively X, Y, Z,
Meansigma methods in template i X respectivelyi, YiAnd Zi；Parameter X, Y, Z minimum in a template
Value is respectively Xmin, Ymin, Zmin, maximum is respectively Xmax, Ymax, Zmax；For parameter X
Concordance weight W setXcur, the low value priority weight that sets for parameter Y is as WYmin, for
The high level priority weight that parameter Z sets is as WZmax。
X parameter numerical value in each template and the absolute deviation Δ X of instantaneous valuei=| Xi-X |, maximum
Absolute deviation Δ Xmax=max (Δ Xi).The X parameter of final template i meet angle value RXiCalculate
As follows:
When parameters weighting is set to low value priority weight, the Y parameter of template i meets angle value RYi
It is calculated as follows:
When parameters weighting is set to high level priority weight, the Z parameter of template i meets angle value RZiMeter
Calculate as follows:
The angle value (Ri) that meets between optimized operation template i and current working is calculated as follows:
Ri=Rxi+Ryi+Rzi
When meeting angle value more hour, corresponding optimized operation template according to the rule set with current
Operating mode more meets.
4) comparison as current working of the operating condition goodness of fit best optimized operation template is selected
Target 404.
3, contrast and show the current gap 304 run with optimized operation template
The step for the real-time meansigma methods of parameter is contrasted with optimized operation template, and will
Meansigma methods parameter various ways outside optimized operation template minima and maximum interval in real time
Display including sets of views, the independent page and Excel form.
Before showing the current gap run with optimized operation template with one or more groups view,
Need first various types of parameters are grouped, packet time can be the most following packet side
Formula:
1) unit Key Performance Indicator parameter individually divides one group；
2) run the adjustable controllable parameter of operation and can divide one group；
3) detail parameters of each equipment is each put together as one group；
Real-time meansigma methods and the optimized operation mould of series of parameters is being shown with one or more groups view
During plate scope, represent the real-time meansigma methods of parameter with longitudinal heavy line, with horizontal block diagram
Represent the optimum operation scope of parameter, if the real-time meansigma methods of parameter is at optimized operation template model
In enclosing, then heavy line is also in the range of block diagram, as shown in Figure 5；If parameter is the most flat
Average is outside optimized operation template scope, then heavy line is also outside block diagram scope, such as Fig. 6 institute
Show.So can be perfectly clear and find out in sets of views, which parameter is in optimum operation scope legibly
In, which parameter is outside optimum operation scope, and emphasis is adjusted for the extraneous parameter of optimum operation
Whole operation operates, so that real time execution is tried one's best close to optimized operation template.
Step 6, output can repeat the parameter 108 of optimized operation operation, the mode of described guidance
For carrying out currently running the result that template and optimized operation template contrast with known optimal performance
Association.According in current working and template closest to the parameter differences between operating mode, according in advance
How the logic output of definition repeats optimized operation operating parameter；Ifndef logic,
Then direct output parameter difference.
Accompanying drawing illustrates:
Fig. 1 sets up unit running optimization and instructs system flow chart；
Fig. 2 optimized operation template extraction flow chart；
Fig. 3 real time data provides optimization to instruct flow chart with the contrast of optimized operation template；
Fig. 4 finds the step schematic diagram with current working immediate optimum operation template；
Fig. 5 parameter schematic diagram in optimum operation template；
Fig. 6 parameter is outside optimum operation template
Detailed description of the invention:
Below in conjunction with embodiment, the invention will be further described.
Unit running optimization involved in the present invention is utilized to instruct system to set up optimized operation template,
Compare with optimized operation template by actual operating data, find the actual motion value of each parameter
With the gap of stencil value, and run operation difference.
One gas-steam combined cycle set running optimizatin instructs foundation and the operation of system:
When setting up gas-steam combined cycle set running optimizatin and instructing system, employ combustion gas-
117 parameters in Steam Combined Cycle group database, these parameters include unit heat consumption
Rate, unit load, ambient temperature, compressor efficiency etc., obtain from PI real-time data base
The historical data of these parameters, peek is spaced apart every 15 minutes 1 data.
Table 1, optimum operating mode are defined as follows:
It it is steady running condition to ensure the operating condition in the template obtained, it is desirable to sample number
Continuous 8 groups of data are at least had to meet above-mentioned optimum operating mode Rule of judgment according to.Pass through
The template that above-mentioned optimum operating mode filters has 82, and these 82 templates are stored as CSV
File.Each csv file all stores the parameter name of all 117 parameters, data
Type, minima, maximum, meansigma methods and standard deviation.
The data of table 2, optimized operation template storage:
1, the foundation of optimized operation template base:
When unit stable conditions, read 10 minute datas, be averaging with this 10 minute data
Value, obtains the real-time running data of one group of unit.
When arranging template filter, unit load, ambient temperature and unit heat consumption rate is used to make
For filtration parameter, unit load template filter area is set to Real-time Load ± 10MW, environment
Temperature template filter area is set to real time environment temperature ± 5 DEG C, and unit heat consumption rate template filters model
Enclose and be set to 6000kJ/kwh≤real-time unit heat consumption rate≤6800kJ/kwh.Optimum fortune is being set
The template meeting these three filter area will be only retained during row template.
2, Conditions Matching weight be set:
Unit load is set to concordance weight, and weighted value is 9；
Ambient temperature is set to concordance weight, and weighted value is 7；
Unit heat consumption rate is set to low value priority weight, and weighted value is 2.
According to the weight set, calculate the goodness of fit of each optimized operation template and real-time working condition
Value, and arrange from small to large according to meeting angle value.Meeting the minimum operating mode of angle value is and real-time work
The optimized operation template that condition is mated best.
The optimized operation template that real time execution operating mode is minimum with meeting angle value is contrasted, and uses
Block diagram shown in Fig. 5 with Fig. 6 is shown.
For the ease of analyzing and checking, parameter is suitably grouped by we:
Key Performance Indicator sets of views show: unit output, fuel flow rate, unit heat consumption rate,
Ambient temperature, atmospheric pressure, combustion engine outlet temperature, compressor efficiency
Controllable parameter sets of views is shown: unit load, unit heat consumption rate, compressor efficiency, enter
Air filter differential pressure, condenser vacuum
Compressor sets of views show: unit load, compressor efficiency, compressor intake pressure,
Air inlet is filtered differential pressure, compressor inlet temperature, horn mouth pressure, compressor delivery pressure, is calmed the anger
Machine outlet temperature, IGV angle, compressor pressure ratio ...
Parameter is checked by packet, checks relevant parameter with having levels.For example, it is possible to first look into
See controllable parameter sets of views, if seeing that compressor efficiency, outside template scope, is looked into the most further
See compressor sets of views, analyze further and cause compressor to decline, and then cause heat consumption rate to decline
Reason.
Key Performance Indicator data:
It can be seen that unit heat consumption rate instantaneous value is more inclined than normal range from Key Performance Indicator data
Height, its main cause is that compressor efficiency instantaneous value is more on the low side than normal range (to be noted: air inlet is filtered
Than normal range, the runnability showing that air inlet is filtered on the low side makes moderate progress differential pressure instantaneous value).So,
Check that compressor related data finds out the reason that compressor efficiency declines further.
Compressor related data:
From compressor related data, it can be seen that compressor delivery pressure instantaneous value is than normal model
Enclosing on the low side, compressor pressure ratio is more on the low side than normal range, remaining parameter all ratio compared with normals, analyzes it
Reason is compressor blade fouling, needs wash compressor or clear up compressor blade
On dirt.
Being pre-configured with some rules in systems, the rule configured in the present embodiment is: as
Really the low value of compressor efficiency normal range and the difference of real-time compressor efficiency are more than or equal to 1, that
Unit running optimization involved in the present invention instructs system will provide such guidance:
Compressor efficiency is on the low side, and the possible cause that efficiency is on the low side is compressor blade fouling, needs
Dirt compressor washed or clear up on compressor blade.
It is to say, system provides the mode instructed for will currently run template and optimized operation mould
The result of plate contrast is associated with known optimal performance.
So, parameter is checked by packet, and can check relevant parameter with having levels.
First check Key Performance Indicator sets of views, if see compressor efficiency outside template scope, then
Check compressor sets of views further, analyze further and cause compressor to decline, and then cause heat
The reason that consumption rate declines, thus the optimization of unit operation is instructed by completion system.
Claims (8)
1. an optimized guidance system for unit operation, its feature comprises the following steps:
Step one, definition optimized operation operation；
Step 2, finds optimized operation template from real-time data base, including: from unit operation
Real-time data base and Performance Calculation result in Selecting All Parameters and set operational objective, described from machine
The parameter type chosen in the real-time data base of group operation and Performance Calculation result includes:
1) the operating condition parameter of unit, environmental working condition parameter, including unit load, environment
Temperature, condenser circulating cooling coolant-temperature gage and power kind；
2) unit and the performance indications of capital equipment, including unit generation efficiency, unit generation
Heat consumption rate, boiler efficiency, steam turbine cycle efficiency and each cylinder efficiency；
3) the online loss analysis of unit, the heat caused including main steam temperature and pressure divergence
Heat consumption rate change, unburned carbon in flue dust that the change of consumption rate, excess air coefficient change cause cause
Heat consumption rate changes；
4) major parameter of unit, key equipment operational factor and affect the adjustable of unit performance
Whole parameter, including reheat steam temperature, reheated steam pressure, spray water flux, the secondary of boiler
Air quantity, after-flame air quantity；
In from real-time data base, the condition of acquisition optimized operation template is modeling for the previous period,
Meet the historical data of operational objective set in advance；
Step 3, the real time data of acquisition sensor defined in optimized operation template；
Step 4, finds out closest to operating mode in optimized operation template；
Step 5, closest to the difference of operating mode in contrast current working and optimized operation template；
Step 6, output repeats the guidance of optimized operation operation；The mode of described guidance is ought
The result that front operation template contrasts with optimized operation template is associated with known optimal performance.
The optimized guidance system of unit operation the most according to claim 1, its feature exists
Unit within: described setting operational objective includes the runnability of unit, i.e. certain load curve
Heat consumption rate should be less than specifying numerical value, and emissions data is NOx < 600ppm, CO < 300ppm,
Historical data sequence at least to have within continuous 2 hours, meet the operational objective set.
The optimized guidance system of unit operation the most according to claim 1, its feature exists
In: described step 5, closest to the difference of operating mode in contrast current working and optimized operation template
Way include:
1) read real time data and obtain real-time meansigma methods；
2) optimized operation template immediate with current working is found out；
3) contrast current working and the gap of optimized operation template.
The optimized guidance system of unit operation the most according to claim 3, its feature exists
In: described in find out the way of optimized operation template immediate with current working and include:
1) use previously selected parameter that optimized operation template is tentatively filtered；
2) the Conditions Matching weight of operational factor is set；
3) according to the weight calculation that related sensor is set each optimized operation template and current work
Angle value is met between condition；
4) the operating condition goodness of fit best optimized operation template ratio as current working is selected
Relatively target.
The optimized guidance system of unit operation the most according to claim 4, its feature exists
In: optimized operation template is tentatively filtered by the previously selected parameter of described use, uses negative
Optimized operation template is tentatively filtered by lotus interval, discharge index, ambient temperature interval.
The optimized guidance system of unit operation the most according to claim 4, its feature exists
In: the Conditions Matching weight of described setting operational factor, the span of weight is between 1-9
Positive integer；
The weight of described setting operational factor configuration divides three types: concordance weight, low value are excellent
First weight, high level priority weight；
Wherein, described concordance weight is arranged to concordance weight for parameter at optimized operation mould
Numerical value in plate and instantaneous value are closer to the most satisfactory situation；
Wherein, described low value priority weight is arranged to low value priority weight for parameter in optimum fortune
Numerical value in row template is the least more satisfactory situation；
Wherein, described high level priority weight is arranged to high level priority weight for parameter in optimum fortune
Numerical value in row template is the biggest more satisfactory situation.
The optimized guidance system of unit operation the most according to claim 4, its feature exists
In: described according to the weight calculation that related sensor is set each optimized operation template and current work
Meeting angle value between condition, the calculation procedure meeting angle value is as follows:
Actual parameter value is respectively X, Y, Z, and the meansigma methods in optimized operation template i is divided
Other Xi, YiAnd Zi；Parameter X, Y, the Z minima in optimized operation template is respectively
Xmin, Ymin, Zmin, maximum is respectively Xmax, Ymax, Zmax；Set for parameter X
Concordance weight WXcur, the low value priority weight that sets for parameter Y is as WYmin, for parameter Z
The high level priority weight set is as WZmax；
X parameter numerical value in each optimized operation template and the absolute deviation Δ of instantaneous value
Xi=| Xi-X |, maximum absolute deviation Δ Xmax=max (Δ Xi)；Final optimal runs the X of template i
Parameter meet angle value RXiIt is calculated as follows:
When parameters weighting is set to low value priority weight, the Y parameter of optimized operation template i meets
Angle value RYiIt is calculated as follows:
When parameters weighting is set to high level priority weight, the Z parameter of optimized operation template i meets
Angle value RZiIt is calculated as follows:
Angle value (R is met between optimized operation template i and current workingi) it is calculated as follows:
Ri=RXi+RYi+RZi
When meeting angle value more hour, corresponding optimized operation template according to the rule set with current
Operating mode more meets.
The device of the optimized guidance system of unit operation the most according to claim 1, bag
Include the output line on the equipment of detection to be monitored, sensor and sensor, interface message processor (IMP), clothes
Business device；At least one sensor is installed, on described sensor on the equipment of described detection to be monitored
Output line be connected with interface message processor (IMP)；Interface message processor (IMP) is connected with server；
It is characterized in that: in described server, set up optimized operation template and output can weigh
The parameter of multiple optimized operation operation.
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