CN106979717B - The control method and device of cooling tower supply water temperature setting value - Google Patents
The control method and device of cooling tower supply water temperature setting value Download PDFInfo
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- CN106979717B CN106979717B CN201610977327.3A CN201610977327A CN106979717B CN 106979717 B CN106979717 B CN 106979717B CN 201610977327 A CN201610977327 A CN 201610977327A CN 106979717 B CN106979717 B CN 106979717B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F28—HEAT EXCHANGE IN GENERAL
- F28F—DETAILS OF HEAT-EXCHANGE AND HEAT-TRANSFER APPARATUS, OF GENERAL APPLICATION
- F28F27/00—Control arrangements or safety devices specially adapted for heat-exchange or heat-transfer apparatus
- F28F27/003—Control arrangements or safety devices specially adapted for heat-exchange or heat-transfer apparatus specially adapted for cooling towers
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Abstract
The invention discloses a kind of control method and device of cooling tower supply water temperature setting value, wherein, the control method is the following steps are included: obtain the historical data of cooling water system and the nominal water flow of active data, the nominal air volume of each blower fan of cooling tower and each cooling pump；According to the historical data, in conjunction with the nominal air volume of each blower fan of cooling tower and the nominal water flow of each cooling pump, relevant parameter in cooling tower supply water temperature setting value model is fitted using genetic algorithm, obtains the relevant parameter；According to the relevant parameter, in conjunction with the active data, the nominal water flow of the nominal air volume of each blower fan of cooling tower and each cooling pump, cooling tower supply water temperature setting value is iterated using genetic algorithm, obtains the setting value of the cooling tower supply water temperature.Technical solution of the present invention enables to the comprehensive energy consumption of central air conditioning cooling water system minimum, realizes the energy saving optimizing of cooling water system, central air conditioner system.
Description
Technical field
The present invention relates to technical field of central air more particularly to a kind of control methods of cooling tower supply water temperature setting value
And device.
Background technique
Currently, for central air conditioner system studies have shown that the condensation temperature of its refrigeration unit condenser it is every decline 1 DEG C,
The operational energy efficiency of refrigeration unit can improve 3%~4%.At this point, under condensation temperature in order to enable refrigeration unit condenser
Drop, cooling tower supply water temperature also need accordingly to reduce.But the reduction of cooling tower supply water temperature will necessarily bring blower fan of cooling tower and
The exploitation speed of cooling pump increases, and increases so as to cause blower fan of cooling tower and cooling pump energy consumption.Therefore, for the energy of refrigeration unit
Shifting relationship, searches out optimal cooling tower supply water temperature, makes between consumption and blower fan of cooling tower and the energy consumption of cooling pump
The comprehensive energy consumption for obtaining Leng Ji Zu ﹑ blower fan of cooling tower processed and cooling pump is minimum, for realizing cooling water system energy conservation, central air-conditioning system
System energy conservation is of great significance.
Summary of the invention
The present invention provides a kind of control method of cooling tower supply water temperature setting value, it is intended to so that central air-conditioner cooling water system
The comprehensive energy consumption of system is minimum, realizes the energy saving optimizing of cooling water system, central air conditioner system.
To achieve the above object, the control method of cooling tower supply water temperature setting value provided by the invention, including following step
It is rapid:
Obtain the historical data and active data, the nominal air volume of each blower fan of cooling tower and each cooling pump of cooling water system
Nominal water flow；
According to the historical data, in conjunction with the nominal air volume of each blower fan of cooling tower and the nominal water flow of each cooling pump
Amount, is fitted relevant parameter in cooling tower supply water temperature setting value model using genetic algorithm, obtains the relevant parameter；
According to the relevant parameter, in conjunction with the active data, the nominal air volume of each blower fan of cooling tower and each cooling
The nominal water flow of pump is iterated cooling tower supply water temperature setting value using genetic algorithm, obtains the cooling tower and supplies water
The setting value of temperature.
Optionally, in the nominal wind of the historical data for obtaining cooling water system and active data, each blower fan of cooling tower
Amount and each cooling pump nominal water flow the step of in, the historical data include: each blower fan of cooling tower air quantity historical data,
Historical data, the historical data of cooling water general pipeline supply water temperature of each cooling pump water flow, the history of outdoor wet-bulb temperature
Data.
Optionally, relevant parameter in cooling tower supply water temperature setting value model is fitted using genetic algorithm described
The step of in, the relevant parameter includes a, b, c and d, the cooling tower supply water temperature setting value model are as follows:
Wherein,
Wherein, Tcd.sup.estFor the estimated value of cooling tower supply water temperature setting value, Mcd.fanFor blower fan of cooling tower air quantity,
Mcd.fan.ratedFor blower fan of cooling tower nominal air volume, Mcd.pumpFor cooling pump water flow, Mcd.pump.ratedFor cooling pump name water flow
Amount, i are blower fan of cooling tower quantity, and j is cooling pump quantity, TwbFor outdoor wet-bulb temperature；
When fitting, in conjunction with:
Wherein, Tcd.sup.acFor cooling water general pipeline supply water temperature, N is the sample number of the historical data；
Calculate J (a, b, c, d) level off to 0 when, relevant parameter a, b, c and the d of cooling tower supply water temperature setting value model.
Optionally, in the nominal wind of the historical data for obtaining cooling water system and active data, each blower fan of cooling tower
Amount and each cooling pump nominal water flow the step of in, the active data include: each blower fan of cooling tower air quantity active data,
Active data, the active data of comprehensive energy consumption of the active data of each cooling pump water flow, outdoor wet-bulb temperature.
Optionally, in described the step of being iterated using genetic algorithm to cooling tower supply water temperature setting value, with described
The minimum target value of the comprehensive energy consumption of cooling water system.
In addition, to achieve the above object, the present invention also provides a kind of control device of cooling tower supply water temperature setting value, packets
It includes:
Obtain module, obtain cooling water system historical data and active data, each blower fan of cooling tower nominal air volume and
The nominal water flow of each cooling pump；
Fitting module, nominal air volume and each cooling pump according to the historical data, in conjunction with each blower fan of cooling tower
Nominal water flow is fitted relevant parameter in cooling tower supply water temperature setting value model using genetic algorithm, obtains described
Relevant parameter；
Iteration module, according to the relevant parameter, in conjunction with the active data, the nominal air volume of each blower fan of cooling tower
With the nominal water flow of each cooling pump, cooling tower supply water temperature setting value is iterated using genetic algorithm, is obtained described cold
But the setting value of tower supply water temperature.
Optionally, it is described obtain historical data that the historical data that acquires of module includes: each blower fan of cooling tower air quantity,
Historical data, the historical data of cooling water general pipeline supply water temperature of each cooling pump water flow, the history of outdoor wet-bulb temperature
Data.
Optionally, the fitting module is to cooling tower supply water temperature setting value modelMiddle relevant parameter a, b, c and d are fitted, wherein
Wherein, Tcd.sup.estFor the estimated value of cooling tower supply water temperature setting value, Mcd.fanFor blower fan of cooling tower air quantity,
Mcd.fan.ratedFor blower fan of cooling tower nominal air volume, Mcd.pumpFor cooling pump water flow, Mcd.pump.ratedFor cooling pump name water flow
Amount, i are blower fan of cooling tower quantity, and j is cooling pump quantity, TwbFor outdoor wet-bulb temperature；
When fitting, in conjunction with:
Wherein, Tcd.sup.acFor cooling water general pipeline supply water temperature, N is the sample number of the historical data；
Calculate J (a, b, c, d) level off to 0 when, relevant parameter a, b, c and the d of cooling tower supply water temperature setting value model.
Optionally, it is described obtain active data that the active data that acquires of module includes: each blower fan of cooling tower air quantity,
Active data, the active data of comprehensive energy consumption of the active data of each cooling pump water flow, outdoor wet-bulb temperature.
Optionally, when the iteration module is iterated cooling tower supply water temperature setting value using genetic algorithm, with institute
State the minimum target value of comprehensive energy consumption of cooling water system.
Technical solution of the present invention need to only collect enough on the data collector or data storage of central air conditioner system
Historical data grey-box model is established by programming evaluation, the parameter being fitted in solving model can be obtained and be applicable on site
The cooling tower supply water temperature setting value of operating condition simultaneously can also optimize it, so that central air conditioning cooling water system
Comprehensive energy consumption is minimum, realizes the energy saving optimizing of cooling water system, central air conditioner system.In addition, technical solution of the present invention operation letter
It is single, easy-to-use and effective, it greatly can assist and instruct computer room, equipment management personnel to cooling water system host and subsidiary engine (refrigeration
Ji Zu ﹑ Leng but tower Feng Ji ﹑ cooling pump) efficiency improved, and then realize cooling water system, central air conditioner system
Energy saving optimizing.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
The structure shown according to these attached drawings obtains other attached drawings.
Fig. 1 is the flow diagram of one embodiment of control method of cooling tower supply water temperature setting value of the present invention；
Fig. 2 is the functional block diagram of one embodiment of control device of cooling tower supply water temperature setting value of the present invention.
Drawing reference numeral explanation:
| Label | Title | Label | Title |
| 100 | Control device | 20 | Fitting module |
| 10 | Obtain module | 30 | Iteration module |
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiment is only a part of the embodiments of the present invention, instead of all the embodiments.Base
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts it is all its
His embodiment, shall fall within the protection scope of the present invention.
It in addition, the technical solution between each embodiment of the present invention can be combined with each other, but must be general with this field
Based on logical technical staff can be realized, it will be understood that when the combination of technical solution appearance is conflicting or cannot achieve this
The combination of technical solution is not present, also not the present invention claims protection scope within.
The present invention proposes a kind of control method of cooling tower supply water temperature setting value, sets applied to a cooling tower supply water temperature
The control device of definite value.
Referring to Fig. 1, the cooling tower supplies in one embodiment of control method of cooling tower supply water temperature setting value of the present invention
The control method of coolant-temperature gage setting value, comprising:
Step S100, obtain cooling water system historical data and active data, each blower fan of cooling tower nominal air volume and
The nominal water flow of each cooling pump.
Specifically, the historical data of cooling water system includes: the historical data of each blower fan of cooling tower air quantity, each cooling water pumping
The historical data of flow, the historical data of cooling water general pipeline supply water temperature, the historical data of outdoor wet-bulb temperature.
The active data of cooling water system includes: the active data of each blower fan of cooling tower air quantity, each cooling pump water flow
Active data, the active data of comprehensive energy consumption of active data, outdoor wet-bulb temperature.
Step S200, nominal air volume and each cooling pump according to the historical data, in conjunction with each blower fan of cooling tower
Nominal water flow is fitted relevant parameter in cooling tower supply water temperature setting value model using genetic algorithm, obtains described
Relevant parameter.
Specifically, cooling tower supply water temperature setting value model is grey-box model, and expression formula is as follows:
Wherein,
Wherein, Tcd.sup.estFor the estimated value of cooling tower supply water temperature setting value, Mcd.fanFor blower fan of cooling tower air quantity,
Mcd.fan.ratedFor blower fan of cooling tower nominal air volume, Mcd.pumpFor cooling pump water flow, Mcd.pump.ratedFor cooling pump name water flow
Amount, i are blower fan of cooling tower quantity, and j is cooling pump quantity, TwbFor outdoor wet-bulb temperature.
When fitting, in conjunction with:
Wherein, Tcd.sup.acFor cooling water general pipeline supply water temperature, N is the sample number of the historical data；
Calculate J (a, b, c, d) level off to 0 when, relevant parameter a, b, c and the d of cooling tower supply water temperature setting value model.
In genetic algorithm, firstly, a is assigned respectively, b, c and mono- initial value of d, such as: a=b=c=d=0.5；Later,
It is updated with the continuous iteration of computer built-in algorithm, on the basis not less than minimum the number of iterations, with J (a, b, c, d) approach
It is target in 0, fitting obtains the explicit value of a, b, c and d.
That is, after the relevant parameter a, b, c and d in cooling tower supply water temperature setting value model are determined, according to the cooling tower
Supply water temperature setting value model, can be calculated the estimated value of cooling tower supply water temperature setting value.
Step S300, according to the relevant parameter, in conjunction with the active data, the nominal air volume of each blower fan of cooling tower
With the nominal water flow of each cooling pump, cooling tower supply water temperature setting value is iterated using genetic algorithm, is obtained described cold
But the setting value of tower supply water temperature.
Specifically, when working as the explicit value of a, b, c and d and having determined, cooling tower supply water temperature setting value modelIn unknown parameter just all determine.Later, by cooling water system
The nominal water flow of the active data of system, the nominal air volume of each blower fan of cooling tower and each cooling pump substitutes into cooling tower supply water temperature and sets
Definite value modelIf dry cooling tower in preset duration can be obtained to supply water
Desired temperature estimated value.
Later, with the minimum target value of the comprehensive energy consumption of cooling water system, using genetic algorithm to several in preset duration
Cooling tower supply water temperature setting value estimated value is iterated, and is finally obtained so that the optimal cooling of the comprehensive energy efficiency of cooling water system
Tower supply water temperature setting value estimated value is to get the optimal value for arriving cooling tower supply water temperature setting value.Specifically, cooling water system
Comprehensive energy consumption is the sum of refrigeration unit Neng Hao ﹑ blower fan of cooling tower Neng Hao ﹑ cooling pump energy consumption.
Finally, according to cooling tower in the optimal value progress cooling water system of gained cooling tower supply water temperature setting value for water temperature
The setting of degree may make the comprehensive energy efficiency of cooling water system optimal.
Technical solution of the present invention need to only collect enough on the data collector or data storage of central air conditioner system
Historical data grey-box model is established by programming evaluation, the parameter being fitted in solving model can be obtained and be applicable on site
The cooling tower supply water temperature setting value of operating condition simultaneously can also optimize it, so that central air conditioning cooling water system
Comprehensive energy consumption is minimum, realizes the energy saving optimizing of cooling water system, central air conditioner system.In addition, technical solution of the present invention operation letter
It is single, easy-to-use and effective, it greatly can assist and instruct computer room, equipment management personnel to cooling water system host and subsidiary engine (refrigeration
Ji Zu ﹑ Leng but tower Feng Ji ﹑ cooling pump) efficiency improved, and then realize cooling water system, central air conditioner system
Energy saving optimizing.
The present invention further provides a kind of control devices of cooling tower supply water temperature setting value.
Referring to Fig. 2, the cooling tower supplies in one embodiment of control device of cooling tower supply water temperature setting value of the present invention
The control device 100 of coolant-temperature gage setting value, comprising:
Module 10 is obtained, the historical data of cooling water system and the nominal air volume of active data, each blower fan of cooling tower are obtained
With the nominal water flow of each cooling pump.
Specifically, the historical data for obtaining the cooling water system that module 10 acquires includes: each blower fan of cooling tower air quantity
Historical data, the historical data of each cooling pump water flow, the historical data of cooling water general pipeline supply water temperature, outdoor wet bulb
The historical data of temperature.
The active data for obtaining the cooling water system that module 10 acquires includes: the existing number of each blower fan of cooling tower air quantity
According to the active data of, each cooling pump water flow, active data, the active data of comprehensive energy consumption of outdoor wet-bulb temperature.
Fitting module 20, nominal air volume and each cooling pump according to the historical data, in conjunction with each blower fan of cooling tower
Nominal water flow, relevant parameter in cooling tower supply water temperature setting value model is fitted using genetic algorithm, obtains institute
State relevant parameter.
Specifically, fitting module 20 is according to the historical data of cooling water system, and combines the nominal wind of each blower fan of cooling tower
The nominal water flow of amount and each cooling pump, using genetic algorithm to cooling tower supply water temperature setting value modelMiddle relevant parameter a, b, c and d are fitted, wherein
Wherein, Tcd.sup.estFor the estimated value of cooling tower supply water temperature setting value, Mcd.fanFor blower fan of cooling tower air quantity,
Mcd.fan.ratedFor blower fan of cooling tower nominal air volume, Mcd.pumpFor cooling pump water flow, Mcd.pump.ratedFor cooling pump name water flow
Amount, i are blower fan of cooling tower quantity, and j is cooling pump quantity, TwbFor outdoor wet-bulb temperature.
When fitting, in conjunction with:
Wherein, Tcd.sup.acFor cooling water general pipeline supply water temperature, N is the sample number of the historical data；
Calculate J (a, b, c, d) level off to 0 when, relevant parameter a, b, c and the d of cooling tower supply water temperature setting value model.
In genetic algorithm, firstly, a is assigned respectively, b, c and mono- initial value of d, such as: a=b=c=d=0.5；Later,
It is updated with the continuous iteration of computer built-in algorithm, on the basis not less than minimum the number of iterations, with J (a, b, c, d) approach
It is target in 0, fitting obtains the explicit value of a, b, c and d.
That is, after the relevant parameter a, b, c and d in cooling tower supply water temperature setting value model are determined, according to the cooling tower
Supply water temperature setting value model, can be calculated the estimated value of cooling tower supply water temperature setting value.
Iteration module 30, according to the relevant parameter, in conjunction with the active data, the nominal wind of each blower fan of cooling tower
The nominal water flow of amount and each cooling pump, is iterated cooling tower supply water temperature setting value using genetic algorithm, obtains described
The setting value of cooling tower supply water temperature.
Specifically, when working as the explicit value of a, b, c and d and having determined, cooling tower supply water temperature setting value modelIn unknown parameter just all determine.Later, iteration module 30
The nominal water flow of the active data of cooling water system, the nominal air volume of each blower fan of cooling tower and each cooling pump is substituted into cooling tower
Supply water temperature setting value modelIt can be obtained several in preset duration
Cooling tower supply water temperature setting value estimated value.
Later, iteration module 30 is with the minimum target value of the comprehensive energy consumption of cooling water system, using genetic algorithm to default
If dry cooling tower supply water temperature setting value estimated value is iterated in duration, the comprehensive energy efficiency so that cooling water system is finally obtained
Optimal cooling tower supply water temperature setting value estimated value is to get the optimal value for arriving cooling tower supply water temperature setting value.Specifically, cold
But the comprehensive energy consumption of water system is the sum of refrigeration unit Neng Hao ﹑ blower fan of cooling tower Neng Hao ﹑ cooling pump energy consumption.
Finally, according to cooling tower in the optimal value progress cooling water system of gained cooling tower supply water temperature setting value for water temperature
The setting of degree may make the comprehensive energy efficiency of cooling water system optimal.
Technical solution of the present invention, without additional addition hardware device, only need to central air conditioner system data collector or
Enough historical datas are collected on data storage, by programming evaluation, establish grey-box model, the ginseng being fitted in solving model
Number, can be obtained the cooling tower supply water temperature setting value for being applicable in operating condition on site and can also optimize to it, to make
The comprehensive energy consumption for obtaining central air conditioning cooling water system is minimum, realizes the energy saving optimizing of cooling water system, central air conditioner system.This
Outside, technical solution of the present invention is easy to operate, easy-to-use and effective, greatly can assist and instruct computer room, equipment management personnel to cold
But the efficiency of water system host and subsidiary engine (Leng Ji Zu ﹑ Leng processed but tower Feng Ji ﹑ cooling pump) is improved, and then is realized cold
But the energy saving optimizing of water system, central air conditioner system.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (6)
1. a kind of control method of cooling tower supply water temperature setting value, which is characterized in that the control method the following steps are included:
Obtain the historical data of cooling water system and the name of active data, the nominal air volume of each blower fan of cooling tower and each cooling pump
Water flow, the historical data include: the historical data of each blower fan of cooling tower air quantity, the historical data of each cooling pump water flow,
The historical data of cooling water general pipeline supply water temperature, the historical data of outdoor wet-bulb temperature；
It is adopted according to the historical data in conjunction with the nominal air volume of each blower fan of cooling tower and the nominal water flow of each cooling pump
Relevant parameter in cooling tower supply water temperature setting value model is fitted with genetic algorithm, obtains the relevant parameter；
The relevant parameter includes a, b, c and d, the cooling tower supply water temperature setting value model are as follows:
Wherein,
Wherein, Tcd.sup.estFor the estimated value of cooling tower supply water temperature setting value, Mcd.fanFor blower fan of cooling tower air quantity,
Mcd.fan.ratedFor blower fan of cooling tower nominal air volume, Mcd.pumpFor cooling pump water flow, Mcd.pump.ratedFor cooling pump name water flow
Amount, i are blower fan of cooling tower quantity, and j is cooling pump quantity, TwbFor outdoor wet-bulb temperature；
When fitting, in conjunction with:
Wherein, Tcd.sup.acFor cooling water general pipeline supply water temperature, N is the sample number of the historical data；
Calculate J (a, b, c, d) level off to 0 when, relevant parameter a, b, c and the d of cooling tower supply water temperature setting value model；
According to the relevant parameter, in conjunction with the active data, the nominal air volume of each blower fan of cooling tower and each cooling pump
Nominal water flow is iterated cooling tower supply water temperature setting value using genetic algorithm, obtains the cooling tower supply water temperature
Setting value.
2. the control method of cooling tower supply water temperature setting value as described in claim 1, which is characterized in that cold in the acquisition
But the step of the nominal water flow of the historical data of water system and active data, the nominal air volume of each blower fan of cooling tower and each cooling pump
In rapid, the active data includes: the active data of each blower fan of cooling tower air quantity, the active data of each cooling pump water flow, room
Active data, the active data of comprehensive energy consumption of outer wet-bulb temperature.
3. such as the control method of the described in any item cooling tower supply water temperature setting values of claim 1-2, which is characterized in that described
In the step of being iterated using genetic algorithm to cooling tower supply water temperature setting value, with the comprehensive energy consumption of the cooling water system
Minimum target value.
4. a kind of control device of cooling tower supply water temperature setting value, which is characterized in that the control device includes:
Module is obtained, the historical data and active data, the nominal air volume of each blower fan of cooling tower and each cold of cooling water system are obtained
But the nominal water flow pumped, it is described to obtain the history number that the historical data that module acquires includes: each blower fan of cooling tower air quantity
According to, the historical data of each cooling pump water flow, the historical data of cooling water general pipeline supply water temperature, outdoor wet-bulb temperature goes through
History data；
Fitting module, according to the historical data, in conjunction with the nominal air volume of each blower fan of cooling tower and the name of each cooling pump
Water flow is fitted relevant parameter in cooling tower supply water temperature setting value model using genetic algorithm, obtains the correlation
Parameter；The fitting module is to cooling tower supply water temperature setting value modelMiddle relevant parameter a, b, c and d are fitted, wherein
Wherein, Tcd.sup.estFor the estimated value of cooling tower supply water temperature setting value, Mcd.fanFor blower fan of cooling tower air quantity,
Mcd.fan.ratedFor blower fan of cooling tower nominal air volume, Mcd.pumpFor cooling pump water flow, Mcd.pump.ratedFor cooling pump name water flow
Amount, i are blower fan of cooling tower quantity, and j is cooling pump quantity, TwbFor outdoor wet-bulb temperature；
When fitting, in conjunction with:
Wherein, Tcd.sup.acFor cooling water general pipeline supply water temperature, N is the sample number of the historical data；
Calculate J (a, b, c, d) level off to 0 when, relevant parameter a, b, c and the d of cooling tower supply water temperature setting value model；
Iteration module, according to the relevant parameter, in conjunction with the active data, the nominal air volume of each blower fan of cooling tower and each
The nominal water flow of cooling pump is iterated cooling tower supply water temperature setting value using genetic algorithm, obtains the cooling tower
The setting value of supply water temperature.
5. the control device of supply water temperature setting value as claimed in claim 4, which is characterized in that the module that obtains
To active data include: the active data of each blower fan of cooling tower air quantity, the active data of each cooling pump water flow, outdoor wet bulb
Active data, the active data of comprehensive energy consumption of temperature.
6. such as the control device of the described in any item supply water temperature setting values of claim 4-5, which is characterized in that the iteration mould
It is minimum with the comprehensive energy consumption of the cooling water system when block is iterated cooling tower supply water temperature setting value using genetic algorithm
For target value.
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| CN112672594B (en) * | 2020-11-27 | 2022-04-08 | 中国南方电网有限责任公司超高压输电公司广州局 | Method and system for predicting and monitoring inlet valve temperature of converter station valve cooling system |
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