CN104333048B - The dispatching method of fired power generating unit and system - Google Patents
The dispatching method of fired power generating unit and system Download PDFInfo
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention discloses dispatching method and the system of a kind of fired power generating unit, described method includes: obtain the coal consumption data of each fired power generating unit that the coal consumption online monitoring system being arranged in each fired power generating unit is derived；Carry out arranging screening to the described coal consumption data of each fired power generating unit；By default fitting function, the coal consumption data after arranging screening are carried out data matching, simulate the coal consumption model of fired power generating unit；Described coal consumption model is solved, solves the global minimum of described coal consumption model；According to described global minimum, each fired power generating unit is just being carried out the anti-adjusting of unit, it is thus achieved that revised global minimum；Described revised global minimum is converted to dispatch command and inputs the automatic power-generating controller for use of each fired power generating unit, to dispatch startup and the output of each fired power generating unit.Implement the present invention, precision higher coal consumption model can be obtained, and then effectively reduce coal consumption.
Description
Technical field
The present invention relates to technical field of electric power, particularly relate to dispatching method and the system of a kind of fired power generating unit.
Background technology
Fired power generating unit in power technology is to affect the important element of environmental, the coal consumption of fired power generating unit
Characteristic can change over.It is mounted with coal consumption on-Line Monitor Device and by the Thermal generation unit checked and accepted, presses
It is ranked up according to comprehensive electric generating coal consumption, the Thermal generation unit of coal consumption on-Line Monitor Device is not installed, by setting
Gross coal consumption rate sorts.
Current fired power generating unit dispatching method, ignores the difference of each unit coal consumption characteristic, and proportional allocations is each
The load of fired power generating unit, is easily caused fired power generating unit high energy consumption, high pollution.
Summary of the invention
Based on this, it is necessary to for above-mentioned current fired power generating unit dispatching method be easily caused fired power generating unit high energy consumption,
The problem of high pollution, it is provided that the dispatching method of a kind of fired power generating unit and system.
The dispatching method of a kind of fired power generating unit, comprises the following steps:
Obtain the coal consumption number of each fired power generating unit that the coal consumption online monitoring system being arranged in each fired power generating unit is derived
According to, wherein, described coal consumption data include unit output and gross coal consumption rate corresponding to unit output；
According to default arrangement screening rule, carry out arranging screening to the described coal consumption data of each fired power generating unit；
By default fitting function, the coal consumption data after arranging screening are carried out data matching, simulate thermoelectricity
The coal consumption model of unit, described coal consumption model includes matched curve；
Based on the unit output upper limit and lower limit constraints, the unit climbing upper limit and lower limit constraints and mould
Type minimal solution essential condition, solves described coal consumption model, solves the global minimal of described coal consumption model
Value；
According to described global minimum, each fired power generating unit is just being carried out the anti-adjusting of unit, it is thus achieved that the revised overall situation
Minimum；
Described revised global minimum is converted to dispatch command and inputs the automatic generation control of each fired power generating unit
Device processed, to dispatch startup and the output of each fired power generating unit.
A kind of dispatching patcher of fired power generating unit, including:
Coal consumption data acquisition module, leads for obtaining the coal consumption online monitoring system being arranged in each fired power generating unit
The coal consumption data of each fired power generating unit gone out, wherein, described coal consumption data include unit output and unit output
Corresponding gross coal consumption rate；
Arrange screening module, for according to the arrangement screening rule preset, the described coal consumption to each fired power generating unit
Data carry out arranging screening；
Fitting module, for carrying out data plan by default fitting function to the coal consumption data after arranging screening
Closing, simulate the coal consumption model of fired power generating unit, described coal consumption model includes matched curve；
Solve module, for based on the unit output upper limit and lower limit constraints, the unit climbing upper limit and lower limit
Constraints and model minimal solution essential condition, solve described coal consumption model, solve described coal consumption
The global minimum of model；
Correcting module, for each fired power generating unit being carried out the anti-adjusting of unit just according to described global minimum, obtains
Obtain revised global minimum；
Scheduler module, inputs each thermal motor for described revised global minimum is converted to dispatch command
The automatic power-generating controller for use of group, to dispatch startup and the output of each fired power generating unit.
The dispatching method of above-mentioned fired power generating unit and system, obtain the coal of each fired power generating unit by on-line monitoring system
Consumption data, and then carry out arranging sieve, simulating coal consumption model, then retrain with lower limit based on the unit output upper limit
Condition, the unit climbing upper limit and lower limit constraints and model minimal solution essential condition, to described coal consumption mould
Type solves, and solves the global minimum of described coal consumption model；Just repair anti-adjusting, after to individual fired power generating unit
It is scheduling, precision higher coal consumption model can be obtained, and then effectively reduce coal consumption.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of dispatching method first embodiment of fired power generating unit of the present invention；
Fig. 2 be fired power generating unit of the present invention dispatching method the first embodiment in coal based on unit valve point effect
Consume-go out the curve synoptic diagram of force function；
Fig. 3 is the schematic flow sheet of dispatching method second embodiment of fired power generating unit of the present invention；
Fig. 4 is that the actual measurement coal consumption of the unit 1 in dispatching method the 3rd embodiment of fired power generating unit of the present invention is bent
Line and the schematic diagram of linear fit curve；
Fig. 5 is that the actual measurement coal consumption of the unit 2 in dispatching method the 3rd embodiment of fired power generating unit of the present invention is bent
Line and the schematic diagram of linear fit curve；
Fig. 6 is that the actual measurement coal consumption of the unit 1 in dispatching method the 3rd embodiment of fired power generating unit of the present invention is bent
Line and the schematic diagram of quadratic polynomial curve；
Fig. 7 is that the actual measurement coal consumption of the unit 2 in dispatching method the 3rd embodiment of fired power generating unit of the present invention is bent
Line and the schematic diagram of quadratic polynomial curve；
Fig. 8 is that the actual measurement coal consumption of the unit 1 in dispatching method the 3rd embodiment of fired power generating unit of the present invention is bent
Line and the schematic diagram of quadratic polynomial matched curve curve based on valve point effect；
Fig. 9 is that the actual measurement coal consumption of the unit 2 in dispatching method the 3rd embodiment of fired power generating unit of the present invention is bent
Line and the schematic diagram of quadratic polynomial matched curve curve based on valve point effect；
The valve point model and two of the unit 1 in dispatching method the 3rd embodiment of Figure 10 fired power generating unit of the present invention
The schematic diagram of the unit output curve of the scheduling model of order polynomial；
The valve point model and two of the unit 2 in dispatching method the 3rd embodiment of Figure 11 fired power generating unit of the present invention
The schematic diagram of the unit output curve of the scheduling model of order polynomial；
The valve point model and two of the unit 1 in dispatching method the 3rd embodiment of Figure 12 fired power generating unit of the present invention
The schematic diagram of the day scheduling coal consumption curve of the scheduling model of order polynomial；
The valve point model and two of the unit 2 in dispatching method the 3rd embodiment of Figure 13 fired power generating unit of the present invention
The schematic diagram of the day scheduling coal consumption curve of the scheduling model of order polynomial；
Figure 14 is the structural representation of dispatching patcher first embodiment of fired power generating unit of the present invention.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing and reality
Execute example, the present invention is further elaborated.Only should be appreciated that specific embodiment described herein
Only in order to explain the present invention, it is not intended to limit the present invention.
Although the step in the present invention is arranged with label, but it is not used to limit the precedence of step,
Based on the order of step or the execution of certain step need other steps unless expressly stated, otherwise walk
Rapid relative rank is adjustable in.
Refer to Fig. 1, Fig. 1 be the present invention fired power generating unit dispatching method the first embodiment flow process signal
Figure.
The dispatching method of the described fired power generating unit of present embodiment, it may include following steps:
Step S101, obtains each thermal motor that the coal consumption online monitoring system being arranged in each fired power generating unit is derived
The coal consumption data of group, wherein, described coal consumption data include unit output and generating coal corresponding to unit output
Consumption rate.
The described coal consumption data of each fired power generating unit, according to default arrangement screening rule, are carried out by step S102
Arrange screening.
Coal consumption data after arranging screening are carried out data matching by default fitting function by step S103,
Simulating the coal consumption model of fired power generating unit, described coal consumption model includes matched curve.
Step S104, retrains with lower limit with lower limit constraints, the unit climbing upper limit based on the unit output upper limit
Condition and model minimal solution essential condition, solve described coal consumption model, solves described coal consumption model
Global minimum.
Step S105, is just carrying out the anti-adjusting of unit according to described global minimum to each fired power generating unit, it is thus achieved that repair
Global minimum after just.
Step S106, is converted to described revised global minimum dispatch command and inputs each fired power generating unit
Automatic power-generating controller for use, to dispatch startup and the output of each fired power generating unit.
Present embodiment, obtains the coal consumption data of each fired power generating unit, Jin Erjin by coal consumption online monitoring system
Row arranges sieve, simulates coal consumption model, then based on the unit output upper limit and lower limit constraints, unit climbing
The upper limit and lower limit constraints and model minimal solution essential condition, solve described coal consumption model, solves
Go out the global minimum of described coal consumption model；Just repair anti-adjusting, after individual fired power generating unit is scheduling, can obtain
Obtain precision higher coal consumption model, and then effectively reduce coal consumption.
Wherein, for step S101, it is preferable that the coal of each fired power generating unit that coal consumption online monitoring system is derived
The time step of consumption data is 5 minutes, i.e. every 5 minutes data points.The most also
Other times step-length can be used.
For step S102, it is preferable that described default arrangement screening rule can be to remove to repeat data sum
According to the value not data point in default real data fluctuation range.
In one embodiment, according to default arrangement screening rule, the described coal consumption number to each fired power generating unit
Comprise the following steps according to the step carrying out arranging screening:
Delete the repetition data in the described coal consumption data of each fired power generating unit and be unsatisfactory for the real data ripple preset
The data of dynamic scope.
For step S103, it is preferable that default fitting function can include for representing what fired power generating unit was exerted oneself
Linear function, for representing secondary multi-direction type, the coal consumption based on unit valve point effect-go out that fired power generating unit exerts oneself
In force function (described coal consumption-go out force function be the function that quadratic polynomial superposes gained with SIN function) extremely
Few one.
In one embodiment, in traditional economic benefit scheduling model, represent thermal motor unit output
Linear function such as formula (1):
Fi(Pi)=ai+biPi(1)；
Wherein, PiExerting oneself of expression fired power generating unit i, i=1,2 ..., N, aiAnd biFor represent with linear function
The coal consumption coefficient of fired power generating unit i.
In another embodiment, energy meter shows the quadratic polynomial such as formula (2) that group of motors is exerted oneself:
Fi(Pi)=ai+biPi+ciPi 2(2)；
Wherein, ai、biAnd ciThe coal consumption coefficient of the unit i for representing by quadratic polynomial.
In other embodiments, the hot candied effect when intake valve of turbine is opened suddenly will make fired power generating unit send out
Electricity cost curve produces valve point effect.For representing the coal consumption of fired power generating unit more accurately, imitate based on unit valve point
The coal consumption answered-function of exerting oneself characterizes fired power generating unit and processes, and can be the superpositing function of quadratic polynomial and SIN function,
Such as formula (3):
Fi(Pi)=ai+biPi+ciPi 2+|ei sin(fi(Pi min-Pi))| (3)；
Wherein, ai、bi、ci、eiAnd fiFor considering the coal consumption coefficient of the unit i of valve point effect.
Preferably, the coal consumption characteristic of the fired power generating unit that quadratic polynomial is corresponding with the superpositing function of SIN function is bent
Line is as shown in Figure 2.
For step S104, it is preferable that the method for function characteristic analysis can be used to solve its global minimum.
In one embodiment, the exerting oneself of the unit i-the most above-mentioned formula of fuel cost function model (1), (2)
(3), in shown at least one, fired power generating unit stable operation needs the constraints met as follows:
The unit output upper limit retrains as shown in following formula (4) with lower limit:
Pi min≤Pi≤Pi max(4)；
The unit climbing upper limit is shown with the constraint such as following formula (5) of lower limit:
Pi-Pi 0≤URi
(5)；
Pi 0-Pi≤DRi
To two formulas merging retrain as shown in following formula (6) above:
max(Pi min,Pi 0-DRi)≤Pi≤min(Pi max,Pi 0+URi) (6)；
Wherein, Pi max、Pi minIt is respectively the exert oneself upper limit and the lower limit of unit i；URi、DRiIt is respectively unit i's
The climbing upper limit and lower limit.
Model minimal solution essential condition can be expressed as follows formula (7):
Optimized Operation information based on unit function characteristic can be tried to achieve according to above-mentioned formula (4) to (7).
For step S105, it is preferable that after obtaining global minimum, can be in conjunction with fired power generating unit actual motion
Requirement, revise unit output further, finally obtain feasible efficient scheduling information, simultaneously according to thermoelectricity
Unit practical adjustments process needs to avoid the anti-phenomenon adjusted to occur, when verifying fired power generating unit day scheduling scheme also
Need according to the day scheduling scheme correction anti-phenomenon adjusted of unit calculated.
In one embodiment, according to described global minimum, each fired power generating unit is just being carried out the anti-adjusting of unit,
The step obtaining revised global minimum comprises the following steps:
If each fired power generating unit just being carried out the anti-adjusting of unit according to described global minimum, generating fired power generating unit and existing
The scheduling solution in each moment.
If any instant fired power generating unit is in anti-tune state, then will be in exerting oneself of the anti-fired power generating unit adjusting state
It is modified to the scheduling solution in a moment.
Wherein, scheduling solves the output for each moment of unit, when revised global minimum is i.e. each
The unit output carved, namely fired power generating unit is in the scheduling solution in each moment.
Refer to the flow process of the second embodiment of dispatching method of fired power generating unit that Fig. 3, Fig. 3 are the present invention show
It is intended to.
The dispatching method of the described fired power generating unit of present embodiment and the difference of the first embodiment are: pass through
The fitting function preset carries out data matching to the coal consumption data after arranging screening, simulates the coal of fired power generating unit
The step of consumption model is further comprising the steps of:
Step S201, the coal consumption data number after arrangement being screened by the fitting function that three classes are default respectively
According to matching, simulating three class model of fit, every class model of fit includes a matched curve.
Step S202, obtains the numerical value of each data point and each fire in the matched curve of three class model of fit respectively
Root-mean-square deviation between the measured value of group of motors, this measured value is to derive laggard line number from coal consumption online monitoring system
According to the data of the corresponding coal consumption amount of exerting oneself of unit after screening, this data correspondence is the coal consumption data in step S201.
Step S203, chooses the coal consumption model that model of fit is fired power generating unit that root-mean-square deviation is minimum.
Present embodiment, can obtain preferably coal consumption model, improves the effectiveness of coal consumption regulation further.
Wherein, measured value is after coal consumption online monitoring system derives the arrangement of coal consumption data laggard row data screening
The corresponding coal consumption data of exerting oneself of each fired power generating unit, this measured value correspondence is after arranging in step S201 is screened
Coal consumption data.
Preferably, described default fitting function can include for represent linear function that fired power generating unit exerts oneself,
For representing secondary multi-direction type, the coal consumption based on unit valve point effect-go out force function that fired power generating unit exerts oneself, institute
Stating coal consumption-go out force function is the function that quadratic polynomial superposes gained with SIN function.
Method the 3rd embodiment of the dispatching method of the fired power generating unit of the following stated present invention.
Below in conjunction with concrete enforcement and accompanying drawing, the present invention is described in further detail, but the reality of the present invention
The mode of executing is not limited to this.
The coal consumption characteristic detailed in order to probe into fired power generating unit, according to the fire collected from coal consumption online monitoring system
Group of motors coal consumption data carry out arranging, screening and matching.To adopt from the unit 1 of Runzhou B power plant and unit 2
The average coal consumption data instance that arrives of collection, accompanying drawing 4 to 9 give every fired power generating unit actual measurement coal consumption data,
Linear fit curve, quadratic polynomial matched curve and quadratic polynomial matched curve based on valve point effect,.
The most corresponding 2 units.Understand different matched curves from accompanying drawing 4 to 9 to be closer to, but and misaligned.
Preferably, it will be assumed that the linear model of unit 1 correspondence, secondary model and consideration valve point effect model
Coal consumption curvilinear equation.By the coal consumption amount after data screening arranges-go out force data, according to method of least square
Curve fitting theory, the coefficient that above-mentioned three kinds of function models are corresponding, the most above-mentioned three kinds of models pair can be tried to achieve
The coal consumption curvilinear equation answered is:
The coal consumption curvilinear equation such as formula (8) of the corresponding three kinds of models of unit 1:
f1=326.55P+2834.78
f2=0.23P2+198.64P+19667.01
f3=0.23P2+200.03P+19479.84+|121.39sin(0.11(199.25-P))| (8)；
The coal consumption curvilinear equation such as formula (9) of the corresponding three kinds of models of unit 2:
f1=278.60P+6473.65
f2=0.11P2+223.26P+13626.95
f3=0.11P2+221.39P+13856.74+|208.86sin(0.09(198.87-P))| (9)；
Following table lists the error of fitting of every kind of matched curve, the match value of the most all data points and measured value
Root-mean-square error.
The error of fitting of the above-mentioned three kinds of curvilinear equations of table 1 Runzhou B power plant:
The matching using quadratic polynomial to obtain as can be seen from Table 1 is less than the error using linear fit, adopts
Less than the error using quadratic polynomial matching with the quadratic polynomial matching considering valve point effect.Therefore, examine
The quadratic polynomial model of worry valve point effect, closer to the actual motion characteristic of generating set, more can become more meticulous
The actual operating efficiency of ground reaction unit.
The different above-mentioned three kinds of coal consumption model energy-saving effects contrast of table 2 Runzhou B power plant:
As can be seen from the table, three kinds of different models are used to carry out 2 generating sets of Runzhou B power plant
Scheduling, it is considered to the quadratic polynomial scheduling model of valve point compare simple linear model (corresponding linear function),
The scheduling model of quadratic polynomial (corresponding secondary multi-direction type) can be that the management and running of system bring economy.
The coal consumption characteristic model of the electromotor according to above-mentioned demonstration, uses this model that electromotor is carried out day scheduling,
Analyzing the impact that scheduling result is brought by valve point model further, to secondary model, (corresponding secondary is multidirectional below
Formula) and valve point model (corresponding coal consumption based on unit valve point effect-go out force function) carry out a day lexical analysis,
Contrast two models under different load level, the impact on Power Plant output distribution, and to system warp
The impact of Ji property.
Table 3 secondary model day scheduling result:
Table 4 valve point model day scheduling result:
From above-mentioned table 1 to 4 and accompanying drawing 10 to 13: valve point model dispatches the coal consumption of each time in day
Rate is below the scheduling result of secondary model.Simultaneously it can be seen that unit coa consumption rate changes and load level base
This is in inversely prroportional relationship, i.e. unit output is the biggest, and coa consumption rate is the lowest.In the B power plant of Runzhou, two kinds of models
Corresponding unit output distribution is the most incomplete same, say, that use valve point model can obtain one group excellent
Scheduling result in secondary model.However, it is noteworthy that the difference size of both models and load
The relation of level is the most inconspicuous, and the most relevant with unit valve point position.
Refer to the structure of dispatching patcher the first embodiment of fired power generating unit that Figure 14, Figure 14 are the present invention show
It is intended to.
The dispatching patcher of the described fired power generating unit of present embodiment, it may include coal consumption data acquisition module 100, whole
Reason is screened module 200, fitting module 300, is solved module 400, correcting module 500 and scheduler module 600:
Coal consumption data acquisition module 100, is arranged on the coal consumption online monitoring system in each fired power generating unit for obtaining
The coal consumption data of each fired power generating unit derived, wherein, described coal consumption data include that unit output and unit go out
The gross coal consumption rate that power is corresponding.
Arrange screening module 200, for according to the arrangement screening rule preset, the described coal to each fired power generating unit
Consumption data carry out arranging screening.
Fitting module 300, for carrying out data by default fitting function to the coal consumption data after arranging screening
Matching, simulates the coal consumption model of fired power generating unit, and described coal consumption model includes matched curve；
Solve module 400, for based on the unit output upper limit and lower limit constraints, the unit climbing upper limit with under
Limit constraints and model minimal solution essential condition, solve described coal consumption model, solve described coal
The global minimum of consumption model.
Correcting module 500, for each fired power generating unit just being carried out the anti-adjusting of unit according to described global minimum,
Obtain revised global minimum.
Scheduler module 600, inputs each thermoelectricity for described revised global minimum is converted to dispatch command
The automatic power-generating controller for use of unit, to dispatch startup and the output of each fired power generating unit.
Present embodiment, obtains the coal consumption data of each fired power generating unit, Jin Erjin by coal consumption online monitoring system
Row arranges sieve, simulates coal consumption model, then based on the unit output upper limit and lower limit constraints, unit climbing
The upper limit and lower limit constraints and model minimal solution essential condition, solve described coal consumption model, solves
Go out the global minimum of described coal consumption model；Just repair anti-adjusting, after individual fired power generating unit is scheduling, can obtain
Obtain precision higher coal consumption model, and then effectively reduce coal consumption.
Wherein, for coal consumption data acquisition module, it is preferable that each thermoelectricity that coal consumption online monitoring system is derived
The time step of the coal consumption data of unit is 5 minutes, i.e. every 5 minutes data points.Implement at other
Mode can also use other times step-length.
For arranging screening module 200, it is preferable that described default arrangement screening rule can be to remove repeat number
According to the data value not data point in default real data fluctuation range.
In one embodiment, arrange screening module 200 and can be used for deleting the described coal consumption number of each fired power generating unit
The data of the real data fluctuation range that repetition data according to and being unsatisfactory for are preset.
For fitting module 300, it is preferable that the fitting function preset can include for representing that fired power generating unit is exerted oneself
Linear function, for represent the secondary multi-direction type that fired power generating unit exerts oneself, coal consumption based on unit valve point effect-
Go out in force function (described coal consumption-go out force function be the function that quadratic polynomial superposes gained with SIN function)
At least one.
In one embodiment, in traditional economic benefit scheduling model, represent thermal motor unit output
Linear function such as formula (1):
Fi(Pi)=ai+biPi(1)；
Wherein, PiExerting oneself of expression fired power generating unit i, i=1,2 ..., N, aiAnd biFor represent with linear function
The coal consumption coefficient of fired power generating unit i.
In another embodiment, energy meter shows the quadratic polynomial such as formula (2) that group of motors is exerted oneself:
Fi(Pi)=ai+biPi+ciPi 2(2)；
Wherein, ai、biAnd ciThe coal consumption coefficient of the unit i for representing by quadratic polynomial.
In other embodiments, the hot candied effect when intake valve of turbine is opened suddenly will make fired power generating unit send out
Electricity cost curve produces valve point effect.For representing the coal consumption of fired power generating unit more accurately, imitate based on unit valve point
The coal consumption answered-function of exerting oneself characterizes fired power generating unit and processes, and can be the superpositing function of quadratic polynomial and SIN function,
Such as formula (3):
Fi(Pi)=ai+biPi+ciPi 2+|ei sin(fi(Pi min-Pi))| (3)；
Wherein, ai、bi、ci、eiAnd fiFor considering the coal consumption coefficient of the unit i of valve point effect.
Preferably, the coal consumption characteristic of the fired power generating unit that quadratic polynomial is corresponding with the superpositing function of SIN function is bent
Line is as shown in Figure 2.
For solving module 400, it is preferable that the method for function characteristic analysis can be used to solve its global minimum.
In one embodiment, the exerting oneself of the unit i-the most above-mentioned formula of fuel cost function model (1), (2)
(3), in shown at least one, fired power generating unit stable operation needs the constraints met as follows:
The unit output upper limit retrains as shown in following formula (4) with lower limit:
Pi min≤Pi≤Pi max(4)；
The unit climbing upper limit is shown with the constraint such as following formula (5) of lower limit:
Pi-Pi 0≤URi
(5)；
Pi 0-Pi≤DRi
To two formulas merging retrain as shown in following formula (6) above:
max(Pi min,Pi 0-DRi)≤Pi≤min(Pi max,Pi 0+URi) (6)；
Wherein, Pi max、Pi minIt is respectively the exert oneself upper limit and the lower limit of unit i；URi、DRiIt is respectively unit i's
The climbing upper limit and lower limit.
Model minimal solution essential condition can be expressed as follows formula (7):
Optimized Operation information based on unit function characteristic can be tried to achieve according to above-mentioned formula (4) to (7).
For correcting module 500, it is preferable that after obtaining global minimum, can be in conjunction with the actual fortune of fired power generating unit
The requirement of row, revises unit output further, finally obtains feasible efficient scheduling information, simultaneously according to fire
Group of motors practical adjustments process needs to avoid the anti-phenomenon adjusted to occur, when verifying fired power generating unit day scheduling scheme
Also need according to the day scheduling scheme correction anti-phenomenon adjusted of unit calculated.
In one embodiment, correcting module 400 can be additionally used in:
If each fired power generating unit just being carried out the anti-adjusting of unit according to described global minimum, generating fired power generating unit and existing
The scheduling solution in each moment；
If any instant fired power generating unit is in anti-tune state, then will be in exerting oneself of the anti-fired power generating unit adjusting state
It is modified to the scheduling solution in a moment.
Preferably, scheduling solves as described revised global minimum is converted to the dispatch command each thermoelectricity of input
Unit, the output of last fired power generating unit, if carrying out machine according to described global minimum to each fired power generating unit
Just organize anti-adjusting, described revised global minimum is converted to the dispatch command each fired power generating unit of input oneself
Dynamic power generation control, to dispatch startup and the output of each fired power generating unit.
The following stated is the second embodiment of the dispatching patcher of the fired power generating unit of the present invention.
The dispatching patcher of the described fired power generating unit of present embodiment is with the difference of the first embodiment: matching
Module 300 can be additionally used in:
The fitting function preset by three classes respectively carries out data matching to the coal consumption data after arranging screening, intends
Closing out three class model of fit, every class model of fit includes a matched curve.
Obtain the numerical value of each data point and the reality of each fired power generating unit in the matched curve of three class model of fit respectively
Root-mean-square deviation between border coal consumption data.
Choose the coal consumption model that model of fit is fired power generating unit that root-mean-square deviation is minimum.
Present embodiment, can obtain preferably coal consumption model, improves the effectiveness of coal consumption regulation further.
Preferably, described default fitting function can include for represent linear function that fired power generating unit exerts oneself,
For representing secondary multi-direction type, the coal consumption based on unit valve point effect-go out force function that fired power generating unit exerts oneself, institute
Stating coal consumption-go out force function is the function that quadratic polynomial superposes gained with SIN function.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes more concrete and detailed,
But therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that, for this area
Those of ordinary skill for, without departing from the inventive concept of the premise, it is also possible to make some deformation and
Improving, these broadly fall into protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be with appended
Claim is as the criterion.
Claims (8)
1. the dispatching method of a fired power generating unit, it is characterised in that comprise the following steps:
Obtain the coal consumption number of each fired power generating unit that the coal consumption online monitoring system being arranged in each fired power generating unit is derived
According to, wherein, described coal consumption data include unit output and gross coal consumption rate corresponding to unit output；
The fitting function preset by three classes respectively carries out data matching to the coal consumption data after arranging screening, intends
Closing out three class model of fit, every class model of fit includes a matched curve；
Obtain the numerical value of each data point and the reality of each fired power generating unit in the matched curve of three class model of fit respectively
Root-mean-square deviation between measured value；
Choose the coal consumption model that model of fit is fired power generating unit that root-mean-square deviation is minimum；
By default fitting function, the coal consumption data after arranging screening are carried out data matching, simulate thermoelectricity
The coal consumption model of unit, described coal consumption model includes matched curve；
Based on the unit output upper limit and lower limit constraints, the unit climbing upper limit and lower limit constraints and mould
Type minimal solution essential condition, solves described coal consumption model, solves the global minimal of described coal consumption model
Value；
According to described global minimum, each fired power generating unit is just being carried out the anti-adjusting of unit, it is thus achieved that the revised overall situation
Minimum；
Described revised global minimum is converted to dispatch command and inputs the automatic generation control of each fired power generating unit
Device processed, to dispatch startup and the output of each fired power generating unit.
The dispatching method of fired power generating unit the most according to claim 1, it is characterised in that according to default
Arranging screening rule, the step that the described coal consumption data of each fired power generating unit carry out arranging screening includes following step
Rapid:
Delete the repetition data in the described coal consumption data of each fired power generating unit and be unsatisfactory for the real data ripple preset
The data of dynamic scope.
The dispatching method of fired power generating unit the most according to claim 1, it is characterised in that described default
Fitting function includes for representing the linear function that fired power generating unit is exerted oneself.
The dispatching method of fired power generating unit the most according to claim 1, it is characterised in that described default
Fitting function includes for representing the secondary multi-direction type that fired power generating unit is exerted oneself.
The dispatching method of fired power generating unit the most according to claim 1, it is characterised in that described default
Fitting function includes coal consumption based on unit valve point effect-go out force function, and described coal consumption-go out force function is that secondary is many
The function of Xiang Shiyu SIN function superposition gained.
The dispatching method of fired power generating unit the most as claimed in any of claims 1 to 5, its feature exists
In, according to described global minimum, each fired power generating unit is just being carried out the anti-adjusting of unit, it is thus achieved that the revised overall situation
Minimizing step comprises the following steps:
If fired power generating unit just being carried out the anti-adjusting of unit according to described global minimum, generate fired power generating unit respectively
The scheduling solution in moment；
If any instant fired power generating unit is in anti-tune state, then will be in exerting oneself of the anti-fired power generating unit adjusting state
It is modified to the scheduling solution in a moment.
7. the dispatching patcher of a fired power generating unit, it is characterised in that including:
Coal consumption data acquisition module, leads for obtaining the coal consumption online monitoring system being arranged in each fired power generating unit
The coal consumption data of each fired power generating unit gone out, wherein, described coal consumption data include unit output and unit output
Corresponding gross coal consumption rate；
Arrange screening module, for according to the arrangement screening rule preset, the described coal consumption to each fired power generating unit
Data carry out arranging screening；
Coal consumption data after arranging screening are entered by fitting module for the fitting function preset by three classes respectively
Row data matching, simulates three class model of fit, and every class model of fit includes a matched curve；
Obtain the numerical value of each data point and the reality of each fired power generating unit in the matched curve of three class model of fit respectively
Root-mean-square deviation between measured value；
Choose the coal consumption model that model of fit is fired power generating unit that root-mean-square deviation is minimum；
Solve module, for based on the unit output upper limit and lower limit constraints, the unit climbing upper limit and lower limit
Constraints and model minimal solution essential condition, solve described coal consumption model, solve described coal consumption
The global minimum of model；
Correcting module, for each fired power generating unit being carried out the anti-adjusting of unit just according to described global minimum, obtains
Obtain revised global minimum；
Scheduler module, inputs each thermal motor for described revised global minimum is converted to dispatch command
The automatic power-generating controller for use of group, to dispatch startup and the output of each fired power generating unit.
The dispatching patcher of fired power generating unit the most according to claim 7, it is characterised in that described correction mould
Block is additionally operable to:
If fired power generating unit just being carried out the anti-adjusting of unit according to described global minimum, generate fired power generating unit respectively
The scheduling solution in moment；
If any instant fired power generating unit is in anti-tune state, then will be in exerting oneself of the anti-fired power generating unit adjusting state
It is modified to the scheduling solution in a moment.
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| CN107634544A (en) * | 2017-09-19 | 2018-01-26 | 广东省粤电集团有限公司 | The dynamic power control method and system of fired power generating unit |
| CN108717491B (en) * | 2018-05-18 | 2019-04-02 | 山东科技大学 | Fired power generating unit primary frequency modulation performance evaluation method and system based on identification technology |
| CN113765150A (en) * | 2020-06-03 | 2021-12-07 | 国网能源研究院有限公司 | Coal consumption curve rapid simulation method suitable for power system production simulation |
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