CN108615121A - A kind of thermoelectricity load distribution method and system based on multifactor impact - Google Patents
A kind of thermoelectricity load distribution method and system based on multifactor impact Download PDFInfo
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Abstract
The invention discloses a kind of thermoelectricity load distribution method and system based on multifactor impact, including：Calculate unit heat consumption curve function；Establish unit mathematical model；Replicating machine is established based on the unit mathematical model, obtains the consumption difference curvilinear function under each operating mode；The poor curvilinear function collection of complete consumption is obtained based on the consumption difference curvilinear function under each operating mode；Thermoelectricity sharing of load calculating is carried out based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption.The present invention overcomes the poor fair curve of consumption provided using manufacturer based on tradition to be modified and the limitation brought, and the poor curvilinear function collection of consumption is obtained in the way of mass data emulation, final to realize that more accurate thermoelectricity sharing of load calculates.
Description
Technical field
The present invention relates to heating energy-saving technical field more particularly to a kind of thermoelectricity sharing of load sides based on multifactor impact
Method and system.
Background technology
Present city majority realizes that resident heats in the form of central heating, and how from production to conveying, from conveying
The hot subject that energy conservation measure is current is considered on to the links used, there is also a variety of published existing means at present
To optimize thermal energy distribution.Wherein, the prior art includes：
(1) by the variable working condition theoretical calculation of heat supply extraction steam unit, unit difference main steam flow and different electricity are obtained
The structure and form of unit heat consumption value relation curve when load and Load Distribution.Because if to curvilinear structures and form
In the case of knowing nothing, in order to determine curve, need also have back pressure to do reality each main steam flow, thermic load, electric load
It tests, curve can be just obtained by largely combining.Experiment number, the reality of reasonable design are reduced using the determining for form of curvilinear structures
Proved recipe case obtains unit heat consumption value curve under experimental conditions as few as possible.
(2) on the basis of above-mentioned theory is analyzed, the structure and form of unit heat consumption rate curve is obtained, reasonable design is passed through
Experimental program, carry out field experiment, determine the design parameter of curve, unit heat consumption rate curve can be obtained.
(3) on the basis of obtaining above-mentioned every unit heat consumption rate curve, heat is negative between can carrying out heat supply extraction steam unit
The distribution of lotus and electric load optimizes.The practical heat consumption rate of unit is determined according to curve using unit actual operating data, and according to phase
It closes the Parameters variation being affected to heat consumption rate and accurate correct to obtain the accurate heat consumption rate value of unit is carried out to heat consumption rate.
Genetic algorithm simulates the biological evolution process of nature, can be quickly excellent by operations such as duplication, intersection, variations
Change obtains the solution of problem, is a kind of maturation method being widely used in various optimization problem solvings, current many development units
The research of schedule model is all made of genetic algorithm.It is negative according to the electric load of given entire power plant, heat based on genetic algorithm
Lotus, and the poor curve of related consumption that combines unit design manufacturer given, and user can input the constraints of optimization and such as refer to
The electric load of fixed a few units, thermic load are certain certain value, by keeping the heat consumption value of entire power plant minimum, develop heat supply steam extraction
The distribution optimization algorithm of electric load and thermic load, can realize the distribution of electric load and thermic load between heat supply extraction steam unit between unit
Optimization, every unit of output optimal electric load and thermic load setting value.
Existing scheme there are the problem of
When the practical heat consumption rate to unit calculates, carried out using the consumption difference fair curve that unit manufacturer provides
It is modified, but there is apparent limitations for the poor fair curve of consumption.Consuming poor fair curve first is carried out based on declared working condition
It calculates, but unit cannot be only modified to it with declared working condition parameter during continuous variable load operation；
Secondly it is that the think of based on mini-derivative linearization is conceivable to consume poor fair curve, it is known that steam turbine is strongly non-linear system,
Being modified in a small range can be with, once but large range of change occurs for the certain parameters of unit, this method can exist compared with
For apparent error.
Invention content
In view of the above technical problems, technical solutions according to the invention run number by being based on priori and practical magnanimity
It is accurately corrected according to unit heat consumption rate, and then realizes accurately calculating for unit heat consumption rate, and finally realized more accurately
Thermoelectricity sharing of load calculates.
On the one hand, the present invention realizes with the following method：A kind of thermoelectricity load distribution method based on multifactor impact,
Including：
Calculate unit heat consumption curve function；
Establish unit mathematical model；
Replicating machine is established based on the unit mathematical model, obtains the consumption difference curvilinear function under each operating mode；
The poor curvilinear function collection of complete consumption is obtained based on the consumption difference curvilinear function under each operating mode；
Thermoelectricity sharing of load calculating is carried out based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption.
Further, described to establish unit mathematical model, including：Unit magnanimity thermal history data are acquired, and are based on
Historical data establishes unit data model.
Wherein, described that unit mathematical model is established based on historical data, including：The mathematical model of each equipment of unit is established,
And the mathematical model of basic each equipment of thermodynamic cycle structures to form according to unit, form complete unit data model.
Further, described that replicating machine is established based on the unit mathematical model, obtain the consumption difference curve letter under each operating mode
Number, including：
It chooses and the relevant parameter preset of heat consumption rate；
It is analyzed each parameter preset as the control variable of replicating machine；
The consumption difference curvilinear function under each operating mode is found out based on least square method.
Further, described that thermoelectricity load is carried out based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption
Distribution calculates, including：Based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption, and carried out using genetic algorithm
Thermoelectricity sharing of load calculates.
On the other hand, following system may be used to realize in the present invention：A kind of thermoelectricity load based on multifactor impact point
Match system, including：
Unit heat consumption curve function generation module, for calculating unit heat consumption curve function；
Unit mathematical model establishes module, for establishing unit mathematical model；
The poor curvilinear function generation module of consumption, establishes replicating machine for being based on the unit mathematical model, obtains under each operating mode
Consumption difference curvilinear function；
The poor curvilinear function collection generation module of consumption, it is bent for obtaining complete consumption difference based on the consumption difference curvilinear function under each operating mode
Line function collection；
Thermoelectricity sharing of load module, for being carried out based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption
Thermoelectricity sharing of load calculates.
Further, the unit mathematical model establishes module, is specifically used for：Acquire unit magnanimity thermal history number
According to, and unit data model is established based on historical data.
Wherein, described that unit mathematical model is established based on historical data, including：The mathematical model of each equipment of unit is established,
And the mathematical model of basic each equipment of thermodynamic cycle structures to form according to unit, form complete unit data model.
Further, the poor curvilinear function generation module of the consumption, is specifically used for：
It chooses and the relevant parameter preset of heat consumption rate；
It is analyzed each parameter preset as the control variable of replicating machine；
The consumption difference curvilinear function under each operating mode is found out based on least square method.
Further, the thermoelectricity sharing of load module, is specifically used for：Based on the unit heat consumption curve function and described
The poor curvilinear function collection of consumption, and carry out thermoelectricity sharing of load calculating using genetic algorithm.
To sum up, the present invention provides a kind of thermoelectricity load distribution method and system based on multifactor impact, by establishing machine
Group mathematical models, and then replicating machine is established using simulation means, and choose with the relevant parameter preset of heat consumption rate as imitative
The control variable of prototype finally obtains the poor curvilinear function of consumption, and utilizes the consumption difference curve letter of unit heat consumption curve function and foundation
Manifold finally realizes the calculating of thermoelectricity sharing of load.Compared with prior art, the present invention abandons the consumption provided using manufacturer
Poor fair curve carries out a degree of amendment to unit actual motion heat consumption rate, but utilizes magnanimity thermal history data most
It realizes eventually and unit heat consumption rate is accurately corrected.It, can be more accurate to the error for overcoming conventional solution that may bring
Realize thermoelectricity burden apportionment in ground.
Description of the drawings
In order to illustrate more clearly of technical scheme of the present invention, letter will be made to attached drawing needed in the embodiment below
Singly introduce, it should be apparent that, the accompanying drawings in the following description is only some embodiments described in the present invention, for this field
For those of ordinary skill, without creative efforts, other drawings may also be obtained based on these drawings.
Fig. 1 is a kind of thermoelectricity load distribution method embodiment flow chart based on multifactor impact provided by the invention；
Fig. 2 is the basic model schematic diagram of surface-type Recuperative heat exchanger in the present invention；
Fig. 3 is the computational methods flow chart of regenerator entrance water temperature in the present invention；
Fig. 4 is a kind of thermoelectricity Load Distribution System example structure figure based on multifactor impact provided by the invention.
Specific implementation mode
The present invention gives a kind of thermoelectricity load distribution method and system embodiment based on multifactor impact, in order to make this
Person skilled in the art more fully understands the technical solution in the embodiment of the present invention, and make the present invention above-mentioned purpose, feature and
Advantage can be more obvious and easy to understand, is described in further detail below in conjunction with the accompanying drawings to technical solution in the present invention：
As shown in Figure 1, being a kind of thermoelectricity load distribution method embodiment based on multifactor impact provided by the invention, packet
It includes：
S101：Calculate unit heat consumption curve function；It specifically includes：By the variable working condition theoretical calculation of heat supply extraction steam unit,
The structure of unit heat consumption value relation curve when obtaining unit difference main steam flow and different electric load and Load Distribution
And form, and then obtain unit heat consumption curve function.
S102：Establish unit mathematical model；Wherein, including：Unit magnanimity thermal history data are acquired, and are based on history
Data establish the mathematical model of each equipment of unit, and the mathematical modulo of basic each equipment of thermodynamic cycle structures to form according to unit
Type forms complete unit data model.
Wherein, the magnanimity thermal history data, including：Main steam pressure, main steam temperature, reheater entrance pressure
Power, reheater inlet temperature, each exhaust point temperature, each steam extraction point pressure, each regenerator exit water temperature, inlet water temperature, hydrophobic temperature
Degree, each regenerator shell pressure, pipe lateral pressure, boiler final feed temperature, pressure etc. include under each typical condition of unit
(each typical condition includes unit correlation heating power under 50%, 60%, 70%, 80%, 90%, 100% rated load to thermodynamic data
Learn data), accurate mathematical model foundation is carried out to unit using these thermodynamic datas, model is fully considered in foundation
Nonlinear characteristic and dynamic characteristic.
Unit associated hot Mechanical Data is acquired first, i.e., each temperature, pressure, whole parameters of flow measuring point are based on vapour
Turbine flow passage component characteristic, surface-type Regenerator characteristics, oxygen-eliminating device characteristic, water supply pump characteristics scheduling theory knowledge, are distinguished by model
Knowledge method recognizes correlation performance parameters, establishes above equipment mathematical models；And by following each section models (grade group is through-flow portion
Divide, regenerator, feed pump) spliced according to the basic thermodynamic cycle structure of thermodynamic conditions, form complete steam turbine heating power
EQUILIBRIUM CALCULATION FOR PROCESS model.
Wherein, it is as follows to establish process for the mathematical model of each equipment of unit：
1, grade group model
Expansion process line is that a smooth curve can for large steam turbine in actual stage group
Complete machine is divided into grade group several different being considered as more bleedings, the smooth thermal expansion process of such steam turbine complete machine is bent
Line can be divided into many sections by grade group, and each section of graph then can approximatively regard straight line as.By verification, by single grade group
Thermal expansion graph make the calculated value of steam condition parameter at different levels in the grade group obtained after line processing and disclosure satisfy that engineering
Using required precision.
In steam turbine, when flow passage component structure size is all constant, grade group (arbitrary several steam flow approximately equals
Series-connected stage) forward and backward steam parameter has following relationship with its flow：
Temperature correction term in above formula, is approximately equal to 1 under normal circumstances, can not consider, and in some special cases
Except (such as initial temperature or reheat temperature change).To Condensing steam turine, if being discussed with grade group between steam extraction section, pressure
Very little more usual than P1/P2 can be ignored, therefore above formula has lower reduced form：
Wherein G=KP, as Fu Liugaier simplify formula.In thermodynamic system of steam tur, it will be assumed that every grade is not stayed
Gale formula values of factor K is constant.
Whether become with the size of load by grade flow area, stage can be divided into governing stage and non-regulated grade.To more
Level steam turbine, it refers to first acting grade of steam turbine, and flow area can change due to partial-air admission with load variations
Become, has the function that adjusting, therefore be referred to as governing stage.
In general, governing stage efficiency is lower than intermediate stage efficiency, why using the relatively low grade of this efficiency, be because
High pressure cylinder air inlet will consider variable working condition, and main steam flow is different under different load, and governing stage is needed to be adjusted, to ensure
The safety of the efficiency of entire thermodynamic system of steam tur and intermediate each level work and stability.
(1) governing stage efficiency is with the change of main steam flow and great changes will take place, should take governing stage in the calculation
Efficiency curve is fitted, to achieve the purpose that reduce error.
(2) it can be obtained in the comparison with other off-design behaviours, except winter heating period operating mode and minimum steam extraction operating mode
(in the case of there is extraction steam for factories and heating steam extraction) needs outside individually consideration, and rest working conditions tubine grade group stage efficiency can
It is considered as a definite value.
2, feed pump model
In thermodynamic system of steam tur, deaerator feed water pump is a critically important part, for by boiler recirculated water from
Oxygen-eliminating device saturation pressure is promoted to boiler feedwater pressure.
Relationship is known as below by feed pump physical characteristic：
Wherein：The volume flow that G- passes through the water of feed pump；
H- water supply pumps lift；
η-feed pump working efficiency；
The mass flow for the water that Gs- feed pumps flow through；
Hout- water supply pump discharge water enthalpies；
Hin- entrance of water-supplying pump water enthalpies；
3, regenerator model foundation
As shown in Fig. 2, for the basic model schematic diagram of surface-type Recuperative heat exchanger.
Its basic model to establish process as follows：
When giving a regenerator outlet temperature Tout, that is, there are following temperature and pressure dependence.
TBackheat=Tout+TUpper end is poor
By regenerator saturation state it is assumed that saturation pressure P backheats by regenerator at this temperature is calculated.
When known to P backheats, there is following relationship：
PBackheat=Ps×(1-Ks)
Wherein, KS is extraction line pressure drop coefficient.
Grade group steam extraction point pressure can be obtained by the average extraction line pressure drop coefficient operation being calculated, is utilized
Fu Liugaier, which simplifies formula G=KP, can obtain after the grade of this level-one flow before flow, with grade and subtract each other that this grade of steam extraction can be obtained
GS is measured, i.e.,：
Gs=K0P0-K1P1
Meanwhile the enthalpy and stage efficiency acquired using the temperature of main steam before grade and pressure can be in the hope of main steam after grade
Enthalpy, and the pressure of main steam has been obtained by steam extraction point pressure after grade, it can be in the hope of exhaust point temperature TS using Matlab programs.
Following balanced type can be obtained using the thermal balance relationship of main steam steam extraction heat release and boiler feedwater heat absorption：
Gs×Hs+GHigher level is hydrophobic×HHigher level is hydrophobic-GIt is hydrophobic×HIt is hydrophobic=G × (Hout-Hin)
Wherein Hs=f (Ps, Ts)；
HHigher level is hydrophobic=f (PHigher level's backheat, THigher level is hydrophobic)
HIt is hydrophobic=f (PBackheat, TIt is hydrophobic)
GIt is hydrophobic=GHigher level is hydrophobic+Gs
Hout=f (PWater supply, Tout)
Hin=f (PWater supply, Tin)
In balanced type only there are two unknown parameter Tin and T it is hydrophobic, and the two parameters by surface-type regenerator lower end difference pass
Known to system：
TIt is hydrophobic=Tin+TLower end is poor
By iterative calculation, can in the hope of-must meet balanced type two parameters solution, to acquire regenerator entrance water
Temperature, concrete operations flow is referring to Fig. 3.
During establishing model, this concept of introducing grade control volume.Grade control volume refer to include certain primary heater,
And include the connected part boiler feedwater of this grade of heater or the control of condensate line, bleed steam pipework and part hydrophobic pipeline
Body.In establishing model process, program composition is carried out using grade control volume as unit control volume, and by modular grade group
Unit is together in series, the total model of the therrmodynamic system to form Steam Turbine.
S103：Replicating machine is established based on the unit mathematical model, obtains the consumption difference curvilinear function under each operating mode.
It is specifically including but not limited to：Based on the unit mathematical model that S102 is established, unit is accurately emulated, in each allusion quotation
It is emulated under type operating mode, to determine that the consumption difference curvilinear function for fully considering that each factor influences, the consumption difference curvilinear function are that electricity is negative
Lotus (P), thermic load (G), major parameter (with unit heat consumption rate dependence extremely strong unit thermal parameter, including main steam pressure,
Temperature, reheater outlet temperature, back pressure, desuperheating water of superheater amount, reheater spray water flux) and benchmark runtime value (" operation benchmark
Value " is also named " operation should reach value ", is the most economical or most rational value of each operating parameter under some corresponding load condition) difference
The function of (△) three.
Preferably, the consumption difference curvilinear function that replicating machine is established based on the unit mathematical model, obtains under each operating mode,
Including：
It chooses and the relevant parameter preset of heat consumption rate；
It is analyzed each parameter preset as the control variable of replicating machine；
The consumption difference curvilinear function under each operating mode is found out based on least square method.
It is specifically including but not limited to：The several and relevant parameter preset of heat consumption rate is chosen, including：Main steam pressure,
Main steam temperature, reheated steam pressure, reheat steam temperature, back pressure etc..These parameters are done into control variable simulation analysis, i.e.,
Main steam pressure is individually adjusted and other parameters remain unchanged, according to emulation data analysis unit under various parameters situation of change
The variation of heat consumption rate, and then the poor curvilinear function of corresponding consumption is found out based on least square method.
By taking main steam temperature as an example, when being emulated, chooses benchmark runtime value ± 10 DEG C (1 DEG C of interval) and is emulated,
It in each determining load point, determines and is emulated under steam extraction amount operating mode, be calculated according to obtained data any under the operating mode
Unit heat consumption value under main steam temperature carries out comparison with unit benchmark heat consumption curve function and asks poor, finally obtains each operating mode
Heat consumption rate changing value caused by lower main steam temperature obtains the consumption difference curve about main steam temperature by least square fitting
Function.
S104：The poor curvilinear function collection of complete consumption is obtained based on the consumption difference curvilinear function under each operating mode；
It is specifically including but not limited to：Using the consumption difference curvilinear function under each operating mode, the poor curvilinear function collection of composition consumption, in reality
During calculating consumption difference, interpolation calculation is carried out using the electric load of unit, thermic load, major parameter and benchmark operation difference, is obtained
It is poor to accurate consumption, and then heat consumption rate is modified.
S105：Thermoelectricity sharing of load meter is carried out based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption
It calculates.
It is specifically including but not limited to：It is calculated according to the obtained poor curvilinear function collection of unit heat consumption curve function and consumption,
Final thermoelectricity sharing of load is carried out based on genetic algorithm to calculate.
As shown in figure 4, being a kind of thermoelectricity Load Distribution System embodiment based on multifactor impact provided by the invention, packet
It includes：
Unit heat consumption curve function generation module 401, for calculating unit heat consumption curve function；
Unit mathematical model establishes module 402, for establishing unit mathematical model；
The poor curvilinear function generation module 403 of consumption, establishes replicating machine for being based on the unit mathematical model, obtains each operating mode
Under consumption difference curvilinear function；
The poor curvilinear function collection generation module 404 of consumption, for obtaining complete consumption based on the consumption difference curvilinear function under each operating mode
Poor curvilinear function collection；
Thermoelectricity sharing of load module 405, for based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption
Carry out thermoelectricity sharing of load calculating.
Preferably, the unit mathematical model establishes module, is specifically used for：Unit magnanimity thermal history data are acquired,
And unit data model is established based on historical data.
Wherein, described that unit mathematical model is established based on historical data, including：The mathematical model of each equipment of unit is established,
And the mathematical model of basic each equipment of thermodynamic cycle structures to form according to unit, form complete unit data model.
Preferably, the poor curvilinear function generation module of the consumption, is specifically used for：
It chooses and the relevant parameter preset of heat consumption rate；
It is analyzed each parameter preset as the control variable of replicating machine；
The consumption difference curvilinear function under each operating mode is found out based on least square method.
Preferably, the thermoelectricity sharing of load module, is specifically used for：Based on the unit heat consumption curve function and the consumption
Poor curvilinear function collection, and carry out thermoelectricity sharing of load calculating using genetic algorithm.
Each embodiment in this specification is described in a progressive manner, same or analogous between each embodiment
Just to refer each other for part, and each embodiment focuses on the differences from other embodiments.Especially for system
For embodiment, since it is substantially similar to the method embodiment, so description is fairly simple, related place is implemented referring to method
The part explanation of example.
As described above, above-described embodiment gives a kind of thermoelectricity load distribution method based on multifactor impact and system is real
Example is applied, when carrying out combined heat and power sharing of load for the condensing-type unit with steam extraction and the back pressure unit with steam extraction, is considered
The poor nonlinear change of consumption caused by a wide range of variable working condition of unit.The present invention abandons carrying out using the consumption difference fair curve that manufacturer provides
It corrects, but the unit mathematical model obtained using magnanimity thermodynamic data, and then obtain the consumption difference curvilinear function under each operating mode.
And finally the electric load after set optimization, thermic load are more accurately calculated using the modification method of the present invention.Above-described embodiment
The influence of various factors is fully considered in thermoelectricity sharing of load calculating process, while considering unit nonlinear characteristic, Ke Yiwei
Exploiting entity brings more accurate careful result of calculation, final realize more accurately to be calculated compared to original method, in turn
Realize apparent energy-saving effect.
Above example is to illustrative and not limiting technical scheme of the present invention.Appointing for spirit and scope of the invention is not departed from
What modification or part are replaced, and are intended to be within the scope of the claims of the invention.
Claims (10)
1. a kind of thermoelectricity load distribution method based on multifactor impact, which is characterized in that including：
Calculate unit heat consumption curve function；
Establish unit mathematical model；
Replicating machine is established based on the unit mathematical model, obtains the consumption difference curvilinear function under each operating mode；
The poor curvilinear function collection of complete consumption is obtained based on the consumption difference curvilinear function under each operating mode；
Thermoelectricity sharing of load calculating is carried out based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption.
2. the method as described in claim 1, which is characterized in that it is described to establish unit mathematical model, including：Acquire unit magnanimity
Thermal history data, and unit data model is established based on historical data.
3. method as claimed in claim 2, which is characterized in that it is described that unit mathematical model is established based on historical data, including：
Establish the mathematical model of each equipment of unit, and the mathematical model of basic each equipment of thermodynamic cycle structures to form according to unit, shape
At complete unit data model.
4. the method as described in claim 1, which is characterized in that it is described that replicating machine is established based on the unit mathematical model, it obtains
The consumption difference curvilinear function under each operating mode is taken, including：
It chooses and the relevant parameter preset of heat consumption rate；
It is analyzed each parameter preset as the control variable of replicating machine；
The consumption difference curvilinear function under each operating mode is found out based on least square method.
5. the method as described in claim 1, which is characterized in that it is described based on the unit heat consumption curve function and it is described consumption it is poor
Curvilinear function collection carries out thermoelectricity sharing of load calculating, including：Based on the unit heat consumption curve function and the poor curve letter of the consumption
Manifold, and carry out thermoelectricity sharing of load calculating using genetic algorithm.
6. a kind of thermoelectricity Load Distribution System based on multifactor impact, which is characterized in that including：
Unit heat consumption curve function generation module, for calculating unit heat consumption curve function；
Unit mathematical model establishes module, for establishing unit mathematical model；
The poor curvilinear function generation module of consumption, establishes replicating machine for being based on the unit mathematical model, obtains the consumption under each operating mode
Poor curvilinear function；
The poor curvilinear function collection generation module of consumption, for obtaining the poor curve letter of complete consumption based on the consumption difference curvilinear function under each operating mode
Manifold；
Thermoelectricity sharing of load module, for carrying out thermoelectricity based on the unit heat consumption curve function and the poor curvilinear function collection of the consumption
Sharing of load calculates.
7. system as claimed in claim 6, which is characterized in that the unit mathematical model establishes module, is specifically used for：Acquisition
Unit magnanimity thermal history data, and unit data model is established based on historical data.
8. system as claimed in claim 7, which is characterized in that it is described that unit mathematical model is established based on historical data, including：
Establish the mathematical model of each equipment of unit, and the mathematical model of basic each equipment of thermodynamic cycle structures to form according to unit, shape
At complete unit data model.
9. system as claimed in claim 6, which is characterized in that the poor curvilinear function generation module of the consumption is specifically used for：
It chooses and the relevant parameter preset of heat consumption rate；
It is analyzed each parameter preset as the control variable of replicating machine；
The consumption difference curvilinear function under each operating mode is found out based on least square method.
10. system as claimed in claim 6, which is characterized in that the thermoelectricity sharing of load module is specifically used for：Based on institute
Unit heat consumption curve function and the poor curvilinear function collection of the consumption are stated, and thermoelectricity sharing of load calculating is carried out using genetic algorithm.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110288135A (en) * | 2019-06-10 | 2019-09-27 | 华北电力大学 | A kind of hydrophobic water level energy conservation optimizing method of hyperbaric heating system |
| CN112050290A (en) * | 2020-09-09 | 2020-12-08 | 西安热工研究院有限公司 | Optimal control method for heat economy of heating steam extraction unit |
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| CN110288135B (en) * | 2019-06-10 | 2022-10-18 | 华北电力大学 | Drainage water level energy-saving optimization method for high-pressure heating system |
| CN112050290A (en) * | 2020-09-09 | 2020-12-08 | 西安热工研究院有限公司 | Optimal control method for heat economy of heating steam extraction unit |
| CN112050290B (en) * | 2020-09-09 | 2021-08-03 | 西安热工研究院有限公司 | Optimal control method for heat economy of heating steam extraction unit |
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