CN116451472A - Method for optimizing circulating water flow of thermal power plant in real time based on field data - Google Patents

Method for optimizing circulating water flow of thermal power plant in real time based on field data Download PDF

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Publication number
CN116451472A
CN116451472A CN202310415005.XA CN202310415005A CN116451472A CN 116451472 A CN116451472 A CN 116451472A CN 202310415005 A CN202310415005 A CN 202310415005A CN 116451472 A CN116451472 A CN 116451472A
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circulating water
unit
condenser
water flow
temperature
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梅海龙
李旭
李铭
曾海波
余兴刚
魏鑫
邱斌斌
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Guoneng Changyuan Hanchuan Power Generation Co ltd
Xian Jiaotong University
Hunan Xiangdian Test Research Institute Co Ltd
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Guoneng Changyuan Hanchuan Power Generation Co ltd
Xian Jiaotong University
Hunan Xiangdian Test Research Institute Co Ltd
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Priority to CN202310415005.XA priority Critical patent/CN116451472A/en
Publication of CN116451472A publication Critical patent/CN116451472A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Turbines (AREA)

Abstract

The invention provides a method for optimizing circulating water flow of a thermal power plant in real time based on field data, which comprises the following steps: obtaining real-time unit operation data from a DCS database of a thermal power plant site, wherein the real-time unit operation data comprises the following steps: the unit load, the low-pressure cylinder exhaust pressure, the low-pressure cylinder exhaust flow, the condenser circulating water flow and the environmental parameters; obtaining the relation between the power change and the back pressure of the unit through a unit micro power increasing test; obtaining the relation between the circulating water flow of the unit and the power consumption of the water pump according to the operation test of the circulating water pump; calculating the variable working condition of the condenser to obtain the temperature of the circulating water outlet of the condenser; calculating the variable working condition of the cooling tower to obtain the temperature of the circulating water of the cooling tower when the circulating water is discharged from the cooling tower; the coupling steps S3 and S4 obtain the relation between the circulating water flow and the back pressure of the unit, and then the coupling step S2 is carried out to obtain the net lengthening power of the unit under different circulating water flows, so as to find out the optimal circulating water flow under the current working condition. The method has the characteristics of short calculation time, high precision, good adaptability of unit load and the like.

Description

Method for optimizing circulating water flow of thermal power plant in real time based on field data
Technical Field
The invention relates to the technical field of optimization of cold ends of turbines, in particular to a method for optimizing circulating water flow of a thermal power plant in real time based on field data.
Background
Currently, thermal power generation is still a main component part of the power generation industry in China, and a cold end system is one of important auxiliary systems of a thermal power unit, so that the running load of the unit can be influenced by influencing the running state of a condenser, and the station power utilization rate of a power station can be influenced by the power consumption of a circulating water pump. Therefore, the optimization work for the cold end system is an important means for improving the economy of the thermal power generating unit.
The prior art with publication number CN112685969A discloses an optimization method for the cold end of a large-scale thermal power plant, which is to test the circulating water flow Q and the power consumption P of the circulating water pump cost Different unit powers, the relation between the temperature of circulating water at the inlet of the condenser and the steam discharge pressure p of the condenser, and the correction coefficient W of the steam discharge pressure to the power E Further, a calculation model about the net power P of the unit is established, and then the optimal operation mode of the circulating water pump is determined according to the calculation model, so that the cold end of the power plant is accurately optimized, however, the relation among variables under different unit loads is obtained according to test data, the measured data volume is large, the difficulty is large, the influence caused by the change of environmental factors cannot be fed back in real time, and the requirement is metFitting multiple relations results in reduced accuracy of the final calculation result.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention combines the relation between the back pressure and the unit load, the circulating water flow and the water pump power consumption obtained through the test with the variable working condition calculation of the condenser and the cooling tower, provides a method for optimizing the circulating water flow of the thermal power plant in real time based on-site data, improves the calculation precision and the calculation speed, can feed back the influences of parameters such as the load, the circulating water temperature, the environmental temperature and the like in real time, and automatically searches the optimal operation strategy of the circulating water pump.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a method for optimizing circulating water flow of a thermal power plant in real time based on field data comprises the following steps:
s1: obtaining real-time unit operation data from a DCS database of a thermal power plant site, wherein the real-time unit operation data comprises the following steps: the unit load, the low-pressure cylinder exhaust pressure, the low-pressure cylinder exhaust flow, the condenser circulating water flow and the environmental parameters;
s2: obtaining the relation between the power change and the back pressure of the unit through a unit micro power increasing test; obtaining the relation between the circulating water flow of the unit and the power consumption of the water pump according to the operation test of the circulating water pump;
s3: calculating the variable working condition of the condenser to obtain the temperature of the circulating water outlet of the condenser;
s4: calculating the variable working condition of the cooling tower to obtain the temperature of the circulating water of the cooling tower when the circulating water is discharged from the cooling tower;
s5: the coupling steps S3 and S4 obtain the relation between the circulating water flow and the back pressure of the unit, and then the coupling step S2 is carried out to obtain the net extension power of the unit under different circulating water flows, so as to find out the optimal circulating water flow and the optimal back pressure under the current working condition.
Preferably, step S2 specifically includes: according to the on-site unit micro power increase test, obtaining data of influence of unit back pressure change on turbine power, and obtaining back pressure P through polynomial fitting c Graph of the relation to the unit micropower Δnd and fitting of a curve equation, i.e. Δnd=f (P c ) The method comprises the steps of carrying out a first treatment on the surface of the According to the operation test of the circulating water pump, the data of the circulating water flow and the water pump power consumption change are obtained, and a relation graph of the circulating water flow Q and the water pump power consumption increment delta Np and a fitting curve equation, namely delta Np=f (Q), are obtained through polynomial fitting.
Preferably, step S3 performs variable-working-condition calculation of the condenser to obtain the outlet temperature of the circulating water of the condenser, which specifically includes: the temperature of the circulating water inlet of the condenser is t w1 The outlet temperature is t w2 The temperature rise of the circulating water in the condenser is delta t, if there is
t w2 ＝t w1 +Δt
q c ＝h-h c
Wherein D is c For the exhaust steam quantity kg/s, q of the steam turbine entering the condenser c The condensing heat release quantity kJ/kg of unit exhaust steam in the condenser is represented by Q, the circulating water flow rate m/s, C is the specific heat kJ/(kg. DEG C) of water, ρ is the density kg/m3 of water, h is the unit exhaust enthalpy kJ/kg, h of the water entering the condenser c Is the unit enthalpy value kJ/kg of saturated water under the pressure of the condenser.
Preferably, the turbine exhaust D entering the condenser is at the small change of the turbine power c Small changes can also occur, and when the exhaust flow is changed slightly, the power calculation deviation is small, so D is assumed in the cold end optimization calculation process c Is unchanged.
Preferably, h c The saturated water temperature t can be used c By looking up the thermodynamic property table of saturated water and saturated steam, t c The calculation formula is as follows:
t c ＝t w2 +δt
wherein δt is the heat transfer end difference of the condenser, A c The total area m2 of the outer surface of the cooling pipe; k is the total heat transfer coefficient kJ/(m2.h.K) of the condenser, P c Is the condenser pressure.
Preferably, step S4 performs variable working condition calculation of the cooling tower to obtain the temperature of the circulating water outlet tower of the cooling tower, specifically: and (3) calculating the variable working condition of the cooling tower by adopting a three-variable equation, so that the steam-water parameters of the inlet and the outlet of the cooling tower can be obtained, wherein the calculation formula is as follows:
wherein P is v Is the partial pressure of water vapor kPa; p' v Is saturated water vapor pressure kPa; t is the temperature of the dry bulb of the air in the cooling tower; θ is the wet bulb temperature of the air in the cooling tower; beta pv The mass coefficient kg/(m3.s.Pa) per unit filler volume; p (P) a Is atmospheric pressure kPa; g is weight wind speed kg/(s.m2); alpha v The volume heat dissipation coefficient kW/(m2· ℃ of the filler); c (C) w Specific heat kJ/(kg. Deg.C) for wet air; q is the water spraying density kg/(s.m2); r is (r) w Is the vaporization heat kJ/kg of water; z is the filler layer height m.
Preferably, in step S5, the coupling steps S2 and S3 obtain the relationship between the circulating water flow and the back pressure of the unit, specifically: assuming that the water temperature of the cooling tower inlet is equal to the water temperature of the circulating water outlet of the condenser, the water temperature of the cooling tower outlet is equal to the water temperature of the circulating water inlet of the condenser, the steam exhaust parameter of the steam turbine is equal to the steam inlet parameter of the condenser, and the relation between the circulating water flow and the back pressure of the unit can be obtained through calculation, namely P c ＝f(Q)。
Preferably, the best circulating water flow and the best back pressure under the current working condition are found out, specifically: coupling Δnd=f (P c )、ΔNp＝f(Q)、P c By changing the circulating water flow, the net extension power of the unit at different circulating water flows is obtained, and the optimal circulating water flow and the optimal back pressure can be found.
Compared with the prior art, the invention at least comprises the following advantages:
the invention provides a method for optimizing circulating water flow of a thermal power plant in real time based on field data, which is used for replacing variable working condition calculation of a steam turbine by fitting the relation between back pressure and unit load through test data, saving complex and complicated thermal calculation process, saving a large amount of calculation time, improving accuracy of cold end optimization calculation based on field test data, feeding back the influence of parameters such as load, circulating water temperature, environmental temperature and the like in real time, and automatically searching an optimal operation strategy of a circulating water pump.
According to the invention, the relation between the micro-increment power of the unit under different loads and the back pressure of the unit can be obtained through test results, the optimal circulating water flow and the optimal back pressure of the unit under each load can be obtained by combining variable working conditions of the condenser and the cooling tower, and the circulating water flow is regulated in real time according to the change of the environment and the working conditions of the unit, so that the unit always operates in an optimal vacuum state, and the purposes of energy conservation and emission reduction are achieved.
Drawings
FIG. 1 illustrates a flow chart of a method of optimizing the flow of circulating water in a thermal power plant in real time based on field data, according to one embodiment of the invention.
FIG. 2 illustrates a computational logic diagram of a method of optimizing the flow of circulating water in a thermal power plant in real time based on field data, in accordance with one embodiment of the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and examples.
Examples
A method for optimizing the flow of circulating water in a thermal power plant in real time based on field data as shown in fig. 1, the method comprising:
s1: obtaining real-time unit operation data from a DCS database of a thermal power plant site, wherein the real-time unit operation data comprises the following steps: the unit load, the low-pressure cylinder exhaust pressure, the low-pressure cylinder exhaust flow, the condenser circulating water flow and the environmental parameters;
s2: obtaining the relation between the power change and the back pressure of the unit through a unit micro power increasing test; obtaining the relation between the circulating water flow of the unit and the power consumption of the water pump according to the operation test of the circulating water pump;
s3: calculating the variable working condition of the condenser to obtain the temperature of the circulating water outlet of the condenser;
s4: calculating the variable working condition of the cooling tower to obtain the temperature of the circulating water of the cooling tower when the circulating water is discharged from the cooling tower;
s5: the coupling steps S3 and S4 obtain the relation between the circulating water flow and the back pressure of the unit, and then the coupling step S2 is carried out to obtain the net extension power of the unit under different circulating water flows, so as to find out the optimal circulating water flow and the optimal back pressure under the current working condition.
In this embodiment, step S2 specifically includes: according to the on-site unit micro power increase test, obtaining data of influence of unit back pressure change on turbine power, and obtaining back pressure P through polynomial fitting c Graph of the relation to the unit micropower Δnd and fitting of a curve equation, i.e. Δnd=f (P c ) The method comprises the steps of carrying out a first treatment on the surface of the According to the operation test of the circulating water pump, the data of the circulating water flow and the water pump power consumption change are obtained, and a relation graph of the circulating water flow Q and the water pump power consumption increment delta Np and a fitting curve equation, namely delta Np=f (Q), are obtained through polynomial fitting.
In this embodiment, step S3 performs calculation of the condenser variable working condition to obtain the condenser circulating water outlet temperature, specifically: the temperature of the circulating water inlet of the condenser is t w1 The outlet temperature is t w2 The temperature rise of the circulating water in the condenser is delta t, if there is
t w2 ＝t w1 +Δt
q c ＝h-h c
Wherein D is c For the exhaust steam quantity kg/s, q of the steam turbine entering the condenser c The condensation heat release quantity kJ/kg of unit exhaust steam in the condenser is taken as a reference, Q is the circulating water flow rate m/s, C is the specific heat kJ/(kg DEG C) of water, ρ is the density kg/m3 of water, h is the unit exhaust steam enthalpy kJ/kg and h entering the condenser c Is the unit enthalpy value kJ/kg of saturated water under the pressure of the condenser.
In the embodiment, when the power of the turbine is slightly changed, the turbine exhaust amount D entering the condenser c The invention also has small change, and the reference data shows that when the exhaust flow is changed slightly, the power calculation deviation is small, so the invention assumes D in the cold end optimization calculation process c Is unchanged.
In the present embodiment, h c The saturated water temperature t can be used c By looking up the thermodynamic property table of saturated water and saturated steam, t c The calculation formula is as follows:
t c ＝t 2 +δt
wherein δt is the heat transfer end difference of the condenser, A c The total area m2 of the outer surface of the cooling pipe; k is the total heat transfer coefficient kJ/(m2.h.K) of the condenser, P c Is the condenser pressure.
In this embodiment, step S4 performs calculation of the variable working condition of the cooling tower to obtain the temperature of the circulating water outlet of the cooling tower, specifically: and (3) calculating the variable working condition of the cooling tower by adopting a three-variable equation, so that the steam-water parameters of the inlet and the outlet of the cooling tower can be obtained, wherein the calculation formula is as follows:
wherein P is v Is the partial pressure of water vapor kPa; p' v Is saturated water vapor pressure kPa; t is the temperature of the dry bulb of the air in the cooling tower; θ is the wet bulb temperature of the air in the cooling tower; beta pv The mass coefficient kg/(m3.s.Pa) per unit filler volume; p (P) a Is atmospheric pressure kPa; g is weight wind speed kg/(s.m2); alpha v The volume heat dissipation coefficient kW/(m2· ℃ of the filler); c (C) w Specific heat kJ/(kg. Deg.C) for wet air; q is the water spraying density kg/(s.m2); r is (r) w Is the vaporization heat kJ/kg of water; z is the filler layer height m.
In this embodiment, in step S5, the relationship between the circulating water flow and the back pressure of the unit is obtained by coupling steps S2 and S3, specifically: as shown in FIG. 2, assume that the cooling tower inlet water temperature is equal to the condenser circulating water outlet water temperature, i.e., t 1 ＝t w2 The water temperature of the cooling tower outlet is equal to the water temperature of the circulating water inlet of the condenser, namely t 2 ＝t w1 The exhaust parameters of the steam turbine are equal to the inlet parameters of the condenser, and the relation between the circulating water flow and the back pressure of the unit, namely P, can be obtained through calculation c ＝f(Q)。
In this embodiment, the step S5 is to find the optimal circulating water flow and the optimal back pressure under the current working condition, specifically: as shown in fig. 2, Δnd=f (P c )、ΔNp＝f(Q)、P c By changing the circulating water flow, the net extension power of the unit at different circulating water flows is obtained, and the optimal circulating water flow and the optimal back pressure can be found.

Claims (8)

1. The method for optimizing the circulating water flow of the thermal power plant in real time based on the field data is characterized by comprising the following steps of:
s1: obtaining real-time unit operation data from a DCS database of a thermal power plant site, wherein the real-time unit operation data comprises the following steps: the unit load, the low-pressure cylinder exhaust pressure, the low-pressure cylinder exhaust flow, the condenser circulating water flow and the environmental parameters;
s2: obtaining the relation between the power change and the back pressure of the unit through a unit micro power increasing test; obtaining the relation between the circulating water flow of the unit and the power consumption of the water pump according to the operation test of the circulating water pump;
s3: calculating the variable working condition of the condenser to obtain the temperature of the circulating water outlet of the condenser;
s4: calculating the variable working condition of the cooling tower to obtain the temperature of the circulating water of the cooling tower when the circulating water is discharged from the cooling tower;
s5: the coupling steps S3 and S4 obtain the relation between the circulating water flow and the back pressure of the unit, and then the coupling step S2 is carried out to obtain the net extension power of the unit under different circulating water flows, so as to find out the optimal circulating water flow and the optimal back pressure under the current working condition.
2. The method for optimizing circulating water flow rate of a thermal power plant in real time based on field data according to claim 1, wherein step S2 is specifically: according to the on-site unit micro power increase test, obtaining data of influence of unit back pressure change on turbine power, and obtaining back pressure P through polynomial fitting c Graph of the relation to the unit micropower Δnd and fitting of a curve equation, i.e. Δnd=f (P c ) The method comprises the steps of carrying out a first treatment on the surface of the According to the operation test of the circulating water pump, the data of the circulating water flow and the water pump power consumption change are obtained, and a relation graph of the circulating water flow Q and the water pump power consumption increment delta Np and a fitting curve equation, namely delta Np=f (Q), are obtained through polynomial fitting.
3. The method for optimizing circulating water flow of a thermal power plant in real time based on field data according to claim 1, wherein step S3 performs condenser variable-working-condition calculation to obtain condenser circulating water outlet temperature, specifically: the temperature of the circulating water inlet of the condenser is t w1 The outlet temperature is t w2 Circulating water is in the condenserThe temperature rise of (1) is Δt, there is
t w2 ＝t w1 +Δt
q c ＝h-h c
Wherein D is c For the exhaust steam quantity kg/s, q of the steam turbine entering the condenser c The condensation heat release quantity kJ/kg of unit exhaust steam in the condenser is taken as a reference, Q is the circulating water flow rate m/s, C is the specific heat kJ/(kg DEG C) of water, ρ is the density kg/m3 of water, h is the unit exhaust steam enthalpy kJ/kg and h entering the condenser c Is the unit enthalpy value kJ/kg of saturated water under the pressure of the condenser.
4. A method for optimizing the circulating water flow rate of a thermal power plant in real time based on field data according to claim 3, wherein the turbine exhaust D entering the condenser is the turbine exhaust D when the turbine power is slightly changed c Small changes can also occur, and when the exhaust flow is changed slightly, the power calculation deviation is small, so D is assumed in the cold end optimization calculation process c Is unchanged.
5. A method for optimizing the circulating water flow rate of a thermal power plant in real time based on field data according to claim 3, wherein h c Using saturated water temperature t c By looking up the thermodynamic property table of saturated water and saturated steam, t c The calculation formula is as follows:
t c ＝t w2 +δt
wherein δtHeat transfer end difference of condenser, A c The total area m2 of the outer surface of the cooling pipe; k is the total heat transfer coefficient kJ/(m2.h.K) of the condenser, P c Is the condenser pressure.
6. The method for optimizing circulating water flow rate of a thermal power plant in real time based on field data according to claim 1, wherein step S4 performs variable working condition calculation of a cooling tower to obtain the temperature of the circulating water outlet of the cooling tower, specifically: and calculating the variable working condition of the cooling tower by adopting a three-variable equation to obtain the steam-water parameters of the inlet and the outlet of the cooling tower, wherein the calculation formula is as follows:
wherein p is v Is the partial pressure of water vapor kPa; p' v Is saturated water vapor pressure kPa; t is the temperature of the dry bulb of the air in the cooling tower; θ is the wet bulb temperature of the air in the cooling tower; beta pv The mass coefficient kg/(m3.s.Pa) per unit filler volume; p (P) a Is atmospheric pressure kPa; g is weight wind speed kg/(s.m2); alpha v The volume heat dissipation coefficient kW/(m2· ℃ of the filler); c (C) w Specific heat kJ/(kg. Deg.C) for wet air; q is the water spraying density kg/(s.m2); r is (r) w Is the vaporization heat kJ/kg of water; z is the filler layer height m.
7. The method for optimizing the circulating water flow rate of the thermal power plant in real time based on field data according to claim 2, wherein in the step S5, the coupling steps S3 and S4 obtain the relationship between the circulating water flow rate and the back pressure of the unit, specifically: assuming the water temperature of the cooling towerIn the water temperature of the circulating water outlet of the condenser, the water temperature of the cooling tower outlet is equal to the water temperature of the circulating water inlet of the condenser, the steam exhaust parameter of the steam turbine is equal to the steam inlet parameter of the condenser, and the relation between the circulating water flow and the back pressure of the unit, namely P, is obtained through calculation c ＝f(Q)。
8. The method for optimizing the circulating water flow rate of the thermal power plant in real time based on the field data according to claim 7, wherein the step S5 is to find out the optimal circulating water flow rate and the optimal back pressure under the current working condition, specifically: coupling Δnd=f (P c )、ΔNp＝f(Q)、P c By changing the circulating water flow, the net extension power of the unit at different circulating water flows is obtained, and the optimal circulating water flow and the optimal back pressure can be found.
CN202310415005.XA 2023-04-17 2023-04-17 Method for optimizing circulating water flow of thermal power plant in real time based on field data Pending CN116451472A (en)

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