CN104504509B - A kind of thermal power plant's Consumption Difference Analysing System and its method using dynamic benchmark value - Google Patents
A kind of thermal power plant's Consumption Difference Analysing System and its method using dynamic benchmark value Download PDFInfo
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Abstract
The invention discloses a kind of thermal power plant's Consumption Difference Analysing Systems and its method using dynamic benchmark value, are related to thermal power unit operation control technology.The structure of this system is: fired power generating unit, power plant's operational monitoring device, data statistics processing device, optimizes running score calculator and data publication is sequentially connected.This method is: 1. determining boundary condition；2. determining optimum operating condition；3. establishing optimum operating condition database.The new a reference value of the present invention is the variation with operating condition and changes；When calculating consumption difference function, selection is to operate the controllable controllable factor of the even closer operations staff of connection with actual motion personnel to calculate；The relationship between evaluation index and each operations factor is established, Optimum Operation under various operating conditions is established, has directive significance to the operation of operations staff；Interference of the extraneous uncontrollable environmental condition to appraisement system is eliminated to a certain extent by the selection of convenient condition.
Description
Technical field
The present invention relates to thermal power unit operation control technologies, consume more particularly, to a kind of thermal power plant using dynamic benchmark value
Difference analysis system and its method.
Background technique
Thermal power plant's power consumption analysis works as the basic research of unit running optimization, is optimal power plant operation, energy conservation drop
The basis of consumption.Foreign countries have begun in the 1960s, and China then just starts to walk and rapidly developed in the 1970s.
The accuracy of power consumption analysis theory depends on determining whether accurately for optimization target values.Reason about thermal power plant's power consumption analysis at present
Be concentrated mainly on by research: optimization target values determine the research of problem, and accurate optimization target values are that operation instruction is scientific, credible
Support.
Currently, the optimization target values in domestic Consumption Difference Analysing System mainly also use non real-time reference value, ring is not considered
The change of unit performance when the variation of border parameter and operating condition change greatly；And external monitoring and optimization system has been able to move
The controlling value for reducing energy loss in real time is provided to state to operations staff.As it can be seen that China monitors and optimizes operation in Fossil-fired Unit Performance
Technical aspect still has a certain distance compared with foreign countries.By being investigated to big electricity power enterprise of the country five, obtain China at present for
The determination methods of power consumption analysis optimization target values mainly include the following types:
1. the design value provided using manufactory；
2. using the result of unit thermal test；
3. using variable working condition thermodynamic computing result；
4. using the statistical value of historical data；
5. automatic optimal determines；
6. data mining technology；
7. all referring to mark system.
When fixed pressure operation, the optimization mesh of parameter a kind of for main steam pressure, main steam temperature and reheat steam temperature etc.
Scale value, the design value that each power plant side of being all made of manufactory provides determine；When unit sliding pressure operation, thermal test is generally used
Method or variable working condition thermodynamic computing obtain the optimization target values of main vapour pressure under different load (or main steam flow).It is other
As exhaust gas temperature, flying marking rate, loss of steam and water, steam turbine vacuum, feed temperature, main spray water flux, station service power consumption rate and boiler are imitated
The determination of rate parameter respectively uses different methods, and in the power plant of investigation, 1. and 2. using method, method is 3. for You Liangjia power plant
5. 4. respectively there is a power plant to use.
1. using method, the designing for manufacturing data of unit equipment are about machine unit characteristic that manufactory is supplied to power plant
First-hand data, it is simple and easy to do as a reference value using it, but unit equipment existing equipment matching problem during the installation process
The variation of thermodynamic property caused by change with operational process conditional is easy to be ignored, therefore is merely not conform to reality using design value
Border.
2. using method, preferable in system initial operating stage effect, but with the extension of runing time, the state of unit is sent out
Raw to change, optimization target values should be also varied, and still, power plant can not often carry out a large amount of thermal test, so that excellent
Change target value and unit actual motion state is not met.
3. using method, one side calculated result is influenced by variable working condition Thermodynamic calculating model, on the other hand, is calculated
To optimization target values be theoretical value, it is relatively difficult to achieve in actual operation, affect the directive function to operation.
4. using method, on the one hand, statistical data is cumbersome time-consuming, and on the other hand, initial data need to just have by verifying
Credibility, therefore, statistics will be selected by typical data, data verification, and boundary condition analysis finally obtains optimization target values,
Since this process is cumbersome, system in this way does not also carry out regular update generally to optimization target values, so that
Optimization target values and set state are not met.
Using method 5. since boundary condition is numerous, the curve of optimization target values is caused to be difficult to count in a relatively short period of time
It completes.Accordingly, it is determined that the optimization target values of operating index are considered as its accuracy, real-time and feasibility.If obtained
Optimization target values do not meet the virtual condition of equipment in operation or cannot reach in actual operation, cannot play to operation
Good directive function.
7. using method, it proposes to establish thermal power plant's power consumption analysis all referring to mark system.With comprehensively, objectively reflect thermal power plant's energy
Consumption situation is cardinal principle, on the basis of qualitative and quantitative comprehensive analysis, it then follows establishes the science of index system and can grasp
The property made principle avoids the overlapping between index, considers data easily taking property, establishes power consumption analysis all referring to mark system, but in the method
Index row exclude interference of the extraneous uncontrollable environmental condition to appraisement system, and the weight coefficient of each index does not integrate
Consider the influence of unit consumption difference and variation range, the result of calculating is more coarse.
Summary of the invention
The technical issues of object of the present invention is in the presence of the prior art, provide a kind of fire using dynamic benchmark value
Power plant's Consumption Difference Analysing System and its method.
New consumption difference function calculation is chosen controllable with the even closer operations staff of actual motion personnel operation connection
Controllable factor calculated, rather than previous selected three-level examines Small Indicators；Dynamic benchmark value is with operating condition
Variation and change, and be no longer determining unique value.
To achieve the above object, the present invention takes following technical scheme:
One, using thermal power plant's Consumption Difference Analysing System of dynamic benchmark value (abbreviation system)
This system carries out the acquisition of power plant's operation data with DCS, SIS system, is counted by Minitab software to data
And analysis, running score calculating is optimized on this basis, and then issue data, evaluation and fortune are carried out to operations staff
The authentic assessment to the operation behavior of operations staff, the final continuous advancement for realizing thermal power plant's running optimizatin are realized in row management.
The preposition acquisition including data of system, statistics and analysis, collecting part are made of DCS, SIS system.Data are adopted
It is being counted and is being analyzed from the background by Minitab software after collection.
After the completion of the acquisition of data, statistics and analysis, optimization running score calculating is run by the optimization on backstage
Divide computing system software realization, and issues data.
Specifically, this system includes target --- fired power generating unit；It is provided with power plant's operation data monitor, data
Statistical disposition device, evaluation index calculator and data distributor；
Its connection relationship is: fired power generating unit, power plant's operational monitoring device, data statistics processing device, evaluation index calculator and
Data publication is sequentially connected.
Two, included the following steps: using method (abbreviation method) this method of thermal power plant's power consumption analysis of dynamic benchmark value
1. determining that boundary condition uses new controllable factor, and determine the variation range of crucial controllable factor, then determines each
Each crucial controllable factor solves come that is, the regression equation of optimizing evaluation using Minitab software under arbitrary boundary conditions
Establish the expression formula under each boundary condition: Y=f (x1, x2, x3 ... ...) Y: dynamic benchmark value, x1, x2, x3 ... ...: various
Different types of controllable factor；
2. determining that optimum operating condition analyzes optimal operating condition point by Minitab software, determine that the key under optimal operating condition point can
Factor definite value is controlled, the combination for finding a kind of each controllable factor is sought to, so that Y is minimum；
3. establish optimum operating condition database obtained under each boundary condition the combination of optimal controllable factor x1, x2,
X3 ... ... } optimum, as the reference parameter data library under each arbitrary boundary conditions.
The invention has the advantages that and good effect:
1. new a reference value is the variation with operating condition and changes, unlike in previous calculation method different
It is all the value of the same determination under operating condition, it is less scientific；
2. what is chosen is three-level examination Small Indicators, and what is chosen here is with reality when calculating consumption difference function in the past
Operations staff operates the controllable controllable factor of the even closer operations staff of connection and calculates；
3. establishing the relationship between evaluation index and each operations factor, Optimum Operation under various operating conditions is established, it is right
The operation of operations staff has directive significance；
4. eliminating extraneous uncontrollable environmental condition to a certain extent to appraisement system by the selection of convenient condition
Interference.
Detailed description of the invention
Fig. 1 is the structural block diagram of this system, in figure:
100-fired power generating units；101-power plant's operation data monitors；102-103-evaluations of data statistics processing device refer to
Mark calculator, 104-data publication devices；
Fig. 2 is that this method chooses the sub-process figure for calculating consumption difference function controllable factor；
Fig. 3 is the sub-process figure that this method finds dynamic benchmark parameter.
English to Chinese: 1, DCS:Distributed Control System, dcs；
2, SIS:Supervisory Information System in Plant Level, thermal power plant's level of factory monitoring letter
Breath system.
Specific embodiment
It is described in detail with reference to the accompanying drawings and examples.
One, system
1, overall
Such as Fig. 1, the present invention includes target --- fired power generating unit 100；Be provided with power plant's operation data monitor 101,
Data statistics processing device 102, evaluation index calculator 103 and data distributor 104；
Its connection relationship is: fired power generating unit 100, power plant's operational monitoring device 101, data statistics processing device 102, optimization operation
Score calculator 103 and data publication 104 are sequentially connected.
2, functional component following function component is common apparatus.
0) fired power generating unit 100
Fired power generating unit 100 refers to thermal power generation unit.
1) power plant's operational monitoring device 101
Power plant's operational monitoring device 101 is the equipment that a kind of pair of thermal power plant's items operation data carries out real-time monitoring and acquisition,
It wherein include general working software DCS and SIS.
2) data statistics processing device 102
Data statistics processing device 102 is a kind of equipment that collected data are counted and handled, wherein including
General working software Minitab (commercially available).
3) evaluation index calculator 103
Evaluation index calculator 103 refers to general calculator, calculates the index score of operations staff；Its software is voluntarily
Design, it is related to method and step and its sub-process.
4) data publication device 104
Data publication device 104 carries out data publication to the current various parameter values of system and index score value.
The working mechanism of this system:
For fired power generating unit 100, power plant's operation data is acquired by power plant's operational monitoring device 101, by data statistics processing
102 statistical analysis of data of device, and by evaluation index calculator 103 come Calculation Estimation index, eventually by data publication device 104
Data are issued, realize optimization postitallation evaluation.
Two, method
1, the sub-process for calculating consumption difference function controllable factor is chosen
Such as Fig. 2, the sub-process for choosing calculating consumption difference function controllable factor is as follows:
A, it defines boundary and establishes index 201
The operating condition boundary for determining unit determines which extraneous factor includes such as coal, rate of load condensate, environment temperature and unit
The evaluation result that situation can run final optimization pass has an impact；Simultaneously to test combinations are carried out between each boundary, science is formed
Catalogue formulates optimal control policy, to exclude interference of the extraneous factor to evaluation；
B, crucial controllable factor 202 is defined
Controllable factor is the adjusting behavior that operations staff can control, and is determined by experiment these factors and is adjusted by which
Parameter or equipment determines, then judge determining adjusting parameter or equipment state operations staff control whether it is consistent, to establish
A set of principle for selecting crucial controllable factor；
C, crucial controllable factor Figure 20 3 is established
The crucial controllable factor determined first by step B, counts the variation range of controllable factor, determines its variation
Range；
By data statistics, application of the key factor variation to evaluation index is calculated using Minitab software, establishes and returns
Equation；
Establish crucial controllable factor inventory；
The index list established by step A, design experiment operating condition, tissue specific operation test；
It records, count, analyzing crucial controllable factor data under each operating condition of test, optimal work is analyzed by Minitab software
Condition point, determines under optimal operating condition point, crucial controllable factor definite value.
2, the sub-process of dynamic benchmark parameter is found
Such as Fig. 3, the sub-process for finding dynamic benchmark parameter is as follows:
A, intermediate variable 301 is screened
According to the index list that step A in Fig. 2 is established, design experiment, tissue specific operation test；Record, statistics, analysis
Crucial controllable factor data under each operating condition of test, analyze optimal operating condition point by Minitab software, determine under optimal operating condition point
Crucial controllable factor definite value；
The crucial controllable factor under index list is screened, determines selected controllable factor；It is clear that supplement improves crucial controllable factor
Volume, establishes optimum operating condition database.
B, controllable factor x and intermediate variable y relational graph 302 are established
It can be potentially encountered following problem during this: when testing influence of some variable xn to Y, the possible variable
Influence very little in its entire adjustable range to Y, such as make δ Yn, and due to the inevitable noise of environment and measurement error
Influence, the error of measurement error itself just has δ Ym, if the magnitude of δ Ym and δ Yn are relatively, according to actual tests
It is just difficult to accurately determine influence of this variable to result Y；The relationship between Variable Factors x and Y is not established directly；
It is exemplified below:
Firstly, finding an intermediate variable y, first determine that the relationship y=f1 (x) of y and x, selected intermediate variable are to become
It is big to change range, influences big performance and calculates point；
Secondly, determining the relationship Y=f2 (y) of Y and y again, the relationship of x and Y are found indirectly in this way；Here the intermediate change chosen
Amount is exactly artificial controllable some performance assessment criteria, the pass between these performance assessment criteria and x in the three-level performance assessment criteria examined in the past
System can be obtained by the method that experiment statistics are analyzed, and the relationship of itself and evaluation index has been able to determine；
C, it finds optimum condition and establishes factor a reference value 303
Most economical operating condition is determined according to the minimum value of δ Y, to establish optimum condition factor a reference value.
δ Y is the sum of corresponding consumption difference of intermediate variable.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (1)
1. a kind of thermal power plant's Consumption Difference Analysing System using dynamic benchmark value, including fired power generating unit (100)；It is characterized by: setting
It is equipped with power plant's operation data monitor (101), data statistics processing device (102), evaluation index calculator (103) and data publication
Device (104)；Its connection relationship is: fired power generating unit (100), power plant's operational monitoring device (101), and data statistics processing device (102) is excellent
Change running score calculator (103) and data publication (104) is sequentially connected；
Wherein, the system carries out the acquisition of power plant's operation data with DCS, SIS system, is united by MINTAB software to data
Meter and analysis, again on the basis of optimize running score calculating, and then issue data, to operations staff carry out evaluation and
The authentic assessment to operations staff's operation behavior, the final continuous advancement for realizing thermal power plant's running optimizatin are realized in operational management；
Thermal power plant's Consumption Difference Analysing System, is used for:
1. determining boundary condition
Using new controllable factor, and determine the variation range of crucial controllable factor, then determine and utilize under each arbitrary boundary conditions
Minitab software solves to each crucial controllable factor to the regression equation of optimizing evaluation, that is, establishes each boundary condition
Under expression formula: Y=f (x1, x2, x3 ... ...)
Y: dynamic benchmark value, x1, x2, x3 ... ...: various types of controllable factor；
2. determine optimum operating condition by Minitab software analyze optimal operating condition point, determine under optimal operating condition point key it is controllable because
Sub- definite value seeks to the combination for finding a kind of each controllable factor, so that Y is minimum；
3. establish optimum operating condition database obtains optimal controllable factor combination { x1, x2, x3 ... ... } under each boundary condition
Optimum, as the reference parameter data library under each arbitrary boundary conditions；
Wherein, the sub-process for choosing calculating consumption difference function controllable factor is as follows:
A, it defines boundary and establishes index (201)；
Determine the operating condition boundary of unit, i.e., the extraneous factor that the evaluation result that determination can run final optimization pass has an impact, institute
Stating extraneous factor includes: coal, rate of load condensate, environment temperature and unit situation；And to test combinations are carried out between each boundary, formed
Scientific catalogue customizes optimal control policy, excludes influence of the extraneous factor to evaluation interference；
B, crucial controllable factor (202) is defined；
The controllable factor indicates the adjusting behavior that operations staff can control, and is determined by experiment and determines the controllable factor
Perhaps equipment judges whether the state of determining adjusting parameter or equipment is consistent to adjusting parameter, and then establishing selection key can
Control the principle of the factor；
C, crucial controllable factor figure (203) is established；
The variation range of controllable factor is counted by the crucial controllable factor that step B is determined, determines the range of variation；
By data statistics, application of the key factor variation to evaluation index is calculated using Minitab software, establishes regression equation
Formula；
Establish crucial controllable factor inventory；Wherein, the sub-process for finding dynamic benchmark parameter is as follows:
A, intermediate variable (301) are screened；
The index list established by step A, design experiment operating condition, tissue specific operation test；
It records, count, analyzing crucial controllable factor data under each operating condition of test, optimal operating condition point is analyzed by Minitab software,
Determine optimal operating condition point, crucial controllable factor definite value；
The crucial controllable factor under index list is screened, determines selected controllable factor；
Supplement improves crucial controllable factor inventory, establishes optimum operating condition database；
B, controllable factor x and intermediate variable y relational graph (302) are established；
Intermediate variable y is found first, determines the relationship y=f1 (x) of intermediate variable y and x；The intermediate variable y wherein chosen is to become
It is big to change range, influences the calculating point of big performance；
It determines the relationship Y=f2 (y) of Y and y, and then finds the relationship of x and Y indirectly；
C, it finds optimum condition and establishes factor a reference value (303)；
Most economical operating condition is determined according to the minimum value of δ Y, and then determines optimum condition factor a reference value；The δ Y indicates intermediate and becomes
Measure the sum of corresponding consumption difference.
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| CN105844400A (en) * | 2016-03-22 | 2016-08-10 | 大唐贵州野马寨发电有限公司 | Thermal power plant consumption difference analysis and management method and system |
| CN107315852A (en) * | 2017-05-22 | 2017-11-03 | 大唐宝鸡热电厂 | Unit running optimization management and performance appraisal system based on power consumption analysis |
| CN108021694B (en) * | 2017-12-18 | 2020-04-10 | 华润电力湖北有限公司 | Method and device for determining boundary index structure of thermal power plant |
| CN110161996A (en) * | 2019-06-12 | 2019-08-23 | 中国大唐集团科学技术研究院有限公司华东电力试验研究院 | Method and system for the analysis of power plant units consumption |
| CN111027744A (en) * | 2019-11-06 | 2020-04-17 | 上海长庚信息技术股份有限公司 | Real-time benchmarking optimization method for multi-level power plant |
| CN110837226B (en) * | 2019-12-26 | 2023-04-11 | 华润电力技术研究院有限公司 | Thermal power generating unit operation optimization method based on intelligent optimization algorithm and related device |
| CN113052717A (en) * | 2020-07-31 | 2021-06-29 | 国电内蒙古东胜热电有限公司 | Energy efficiency management method and system in thermal power generation system |
| CN112257278A (en) * | 2020-10-28 | 2021-01-22 | 华润电力技术研究院有限公司 | Unit difference consumption calculation model obtaining method, difference consumption obtaining method and system |
| CN113095591B (en) * | 2021-04-29 | 2023-03-21 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
| CN113639256A (en) * | 2021-06-21 | 2021-11-12 | 华能国际电力股份有限公司大连电厂 | Power plant combustion optimization method and equipment |
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