CN113239538A - Condenser end difference and genetic algorithm-based economic back pressure calculation method for condenser of wet cooling unit - Google Patents
Condenser end difference and genetic algorithm-based economic back pressure calculation method for condenser of wet cooling unit Download PDFInfo
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Abstract
A condenser end difference and genetic algorithm based economic backpressure calculation method for a condenser of a wet cooling unit relates to the field of economic optimization of a cold end system of a thermal power plant. The invention aims to calculate the most economic backpressure of a condenser of a wet cooling unit so as to calculate the energy-saving effect of the most economic backpressure. The condenser end difference and genetic algorithm-based economic backpressure calculation method for the condenser of the wet cooling unit comprises the following steps of firstly, establishing a function between the power consumption of a circulating cooling water variable frequency pump and the backpressure of the condenser; and then, based on the function, calculating the back pressure corresponding to the maximum variation of the power supply power of the unit, and taking the back pressure as the most economic back pressure of the condenser.
Description
Technical Field
The invention belongs to the field of economic optimization of cold end systems of thermal power plants.
Background
The working schematic diagram of a condenser and a cooling tower of a wet cooling unit is shown in fig. 1, a circulating cooling water pump drives cooling water, low-pressure cylinder exhaust steam is condensed into water in the condenser to form vacuum, and meanwhile, the circulating cooling water is cooled by air in the cooling tower. The recirculated cooling water pump of present wet cold unit generally is the power frequency pump, and recirculated cooling water pump flow is unchangeable, and the condenser backpressure only changes along with ambient temperature and low cylinder exhaust flow (unit load): the back pressure is reduced along with the reduction of the unit load; the back pressure decreases as the ambient temperature decreases. Therefore, when the ambient temperature is low and the load of the unit is low, the back pressure is far lower than the designed back pressure, the circulating cooling water is excessive, and the back pressure is not necessarily the most economical back pressure.
With the large-scale grid connection of new energy such as wind power, solar energy and the like, the power generation share of the thermal power generating units is reduced year by year, the power generation load of a single thermal power generating unit is lower and lower, the running time of low load is greatly increased, the back pressure economy of the wet cooling unit under the low load is more and more emphasized, the circulating cooling water power frequency pump is transformed into the variable frequency pump, the back pressure is adjusted by adjusting the flow of the water pump, and the higher economy is sought. However, at present, the most economic back pressure of the condenser of the wet cooling unit is rarely researched, and the most economic back pressure of the condenser of the wet cooling unit cannot be obtained.
Disclosure of Invention
The invention provides a condenser economic backpressure calculation method of a wet cooling unit based on condenser end difference and genetic algorithm, aiming at calculating the most economic backpressure of the condenser of the wet cooling unit and accounting the energy-saving effect of the most economic backpressure.
The condenser end difference and genetic algorithm based economic backpressure calculation method for the condenser of the wet cooling unit comprises the following steps:
determining the supply water temperature T2 of the circulating cooling water according to the end difference of the condenser;
determining the flow rate Q of the circulating cooling water according to the heat dissipation Q of the dead steam, the return water temperature T1 of the circulating cooling water and the water supply temperature T2 of the circulating cooling water2;
By using the flow q of the circulating cooling water2Calculating the power consumption W of the circulating cooling water variable frequency pump;
establishing power consumption W of circulating cooling water variable frequency pump and backpressure p of condensercFunction between NQQJL:
W=NQQJL(q,T1,pc),
wherein q is the main steam flow;
by combining with the function NQQJL, the genetic algorithm is utilized to find the back pressure p corresponding to the maximum variation delta N of the power supply power of the unitcnAnd applying the back pressure pcnAs the most economical back pressure p of the condenserjj。
Further, the recirculated cooling water supply water temperature T2 is calculated according to the following formula:
T2=Ts+detaT,
wherein, TSFor back pressure p of condensercThe saturated steam temperature of (1) and the detaT is the condenser end difference.
Furthermore, as the condenser of the wet cooling unit is in heat exchange conservation, the heat absorption capacity of the condenser is equal to the heat dissipation capacity Q of the exhaust steam, and the circulating cooling water flow Q is provided2:
q2=Q/(T1-T2)/Cp,
Wherein, CpThe average constant pressure specific heat capacity of the cooling water.
Further, the specific method for obtaining the heat dissipation Q of the dead steam comprises the following steps:
selecting main steam flow q and condenser back pressure pc,
According to the back pressure p of the condensercObtaining corresponding vaporization latent heat r by looking up a physical property function table of water,
and calculating the heat dissipation capacity Q of the dead steam according to the vaporization latent heat r and the main steam flow Q.
Further, the heat dissipation Q of the exhaust steam is calculated according to the following formula:
Q=H(q)*r,
where H (q) is the exhaust steam flow rate, which is a function of the main steam flow rate q.
Further, the power consumption W of the circulating cooling water variable frequency pump is calculated according to the following formula:
W=(q2/q0)3*W0,
wherein q is0Design flow for recirculating cooling water pumps, W0And designing power for the circulating cooling water pump.
Further, calculating the back pressure p corresponding to the maximum variation delta N of the power supply power of the unit based on a genetic algorithmcnThe specific method comprises the following steps:
setting back pressure pcnThe variation range is [ p ]cmin,pcbj]Wherein p iscminIs the lowest back pressure, p, of the condensercbjThe back pressure is warned for the condenser,
at back pressure pcnRange of variation [ p ]cmin,pcbj]In the method, the maximum value delta N of the variation delta N of the power supply power of the unit is searched by utilizing a genetic algorithm at the interval of 0.1kPamaxCorresponding back pressure pcn。
Further, the expression of the variation Δ N of the unit power supply power is as follows:
ΔN=ΔP-[NQQJL(q,T1,pcn)-W0],
wherein, W0And designing power for the circulating cooling water pump, wherein delta P is the micro-power increase of the steam turbine.
Further, the turbine incremental work Δ P is calculated according to the following formula:
wherein, PeThe rated power of the unit.
Further, the calling format of the genetic algorithm is as follows:
[-ΔNmax,pjj]=ga(-MAXΔN,5,[],[],[],[],[pcmin],[pcbj],[],options)
wherein, MAX Δ N is a value function of Δ N, and options are attribute setting functions of the genetic algorithm.
According to the condenser economic backpressure calculation method of the wet cooling unit based on the condenser end difference and the genetic algorithm, a function NQQJL is established and used for calculating the power consumption W of the circulating cooling water frequency conversion pump and the condenser backpressure p under the conditions of different main steam flow q and circulating cooling water return water temperature T1cThe relationship between them. Further, a genetic algorithm is adopted to find the back pressure p corresponding to the maximum variation delta N of the power supply power of the unitcn. The method can calculate the most economic backpressure of the condenser of the wet cooling unit, and further is convenient for calculating the energy-saving effect of the most economic backpressure.
Drawings
FIG. 1 is a schematic view of the condenser and cooling tower of a wet cooling unit;
FIG. 2 is a flow chart of a condenser economic backpressure calculation method of a wet cooling unit based on condenser end difference and a genetic algorithm.
Detailed Description
In a power plant, the power supply power N is the difference between the power P of a generator and the power consumption W of a circulating cooling water variable frequency pump and the power consumption M of other equipment, namely:
N=P-W-M,
when analyzing economic backpressure, it is generally assumed that the power consumption of other devices is not affected by backpressure changes, i.e.Assuming that the unit operates under a certain load, the circulating cooling water variable frequency pump operates at the designed power, and at the moment, the unit operatesBack pressure of pc0The generating power at the generator end of the unit is P0The power consumption of the circulating cooling water variable frequency pump is W0The power supply power of the unit is N0. Based on the state, the back pressure of the unit is adjusted to p by adjusting the rotating speed of the circulating cooling water variable frequency pumpcIn the process, the power consumption variation of the circulating cooling water variable frequency pump is delta W, the power generation variation at the generator end is delta P, and if:
ΔN=ΔP-ΔW=(P-P0)-(W-W0)≥0,
the power supply for the whole machine is increased by adjusting the back pressure, so that the process is called the back pressure adjustment benefit process, and in the process, when the back pressure is adjusted to a certain back pressure pc' when, such that:
ΔNmax=|ΔP-ΔW|max,
this back pressure value p is calledc' for the economic back pressure under the working condition, the generated economic benefit is delta Nmax。
Based on this, in the present embodiment, a function NQQJL is first established for calculating the condenser back pressure p for different main steam flow rates q (unit load) and circulating cooling water return water temperatures T1cAnd the corresponding functional relation with the power consumption W of the circulating cooling water variable frequency pump. And on the basis, a genetic algorithm mode is adopted to find the maximum value of the power supply power variation delta N of the unit and the corresponding most economic backpressure p of the condenserjj. The method comprises the following specific steps:
the first embodiment is as follows: the embodiment is specifically described with reference to fig. 2, and the method for calculating the economic back pressure of the condenser of the wet cooling unit based on the condenser end difference and the genetic algorithm in the embodiment specifically includes:
firstly, establishing a condenser mechanism model for calculating the backpressure p of the condenser under the conditions of different main steam flow q (unit load) and circulating cooling water return water temperature T1cAnd the corresponding functional relation with the power consumption W of the circulating cooling water variable frequency pump is as follows:
1) confirming working condition environment, selecting main steam flow q and condenser back pressure pcAnd a recirculated cooling water return temperature T1.
2) According to the back pressure p of the condensercAnd inquiring a physical property function table of the water to obtain corresponding vaporization latent heat r.
3) Calculating the heat dissipation capacity Q of dead steam according to the vaporization latent heat r released during steam condensation and the main steam flow Q:
Q=H(q)*r,
wherein H (q) is the flow rate of the dead steam and is a function of the flow rate q of the main steam, and the function is a monotone increasing function and is determined by the running characteristic of the unit. The moisture content of the dead steam and the supercooling degree of the condensed water are neglected in the heat dissipation capacity Q of the dead steam.
4) And determining the supply water temperature T2 of the circulating cooling water according to the end difference of the condenser.
The condenser end difference is a condenser performance parameter, the expression is detAT,
the supply water temperature T2 of the circulating cooling water is calculated according to the following formula:
T2=Ts+detaT,
wherein, TSFor back pressure p of condensercThe saturated steam temperature (c) is determined by the physical properties of water.
5) Determining recirculated cooling water flow q2。
Due to the heat exchange conservation of the condenser of the wet cooling unit, if the heat absorption capacity of the condenser is equal to the heat dissipation capacity Q of the exhaust steam, the flow rate Q of the circulating cooling water is determined according to the heat dissipation capacity Q of the exhaust steam, the return water temperature T1 of the circulating cooling water and the supply water temperature T2 of the circulating cooling water2:
q2=Q/(T1-T2)/Cp,
Wherein, CpThe average constant pressure specific heat capacity of the cooling water.
6) And determining the power consumption W of the circulating cooling water variable frequency pump.
Circulating cooling water frequency conversion pump power consumption W and circulating cooling water flow q2Is proportional to the third power, the power consumption W of the circulating cooling water variable frequency pump is equal to (q)2/q0)3*W0Wherein q is0Design flow for recirculating cooling water pumps, W0And designing power for the circulating cooling water pump.
Based on the steps, the power consumption W of the circulating cooling water variable frequency pump and the back pressure p of the condenser are establishedcFunction between NQQJL:
W=NQQJL(q,T1,pc)。
at the lowest back pressure p of the condensercminWhen the back pressure increases to pcnAt the moment, the power consumption of the circulating cooling water variable frequency pump is W0Down to W2n=NQQJL(q,T1,pcn) The power consumption of the circulating cooling water variable frequency pump is increased by delta W ═ W2n-W0。
When the back pressure changes, the micro-work increase of the turbine is estimated, and the back pressure is generally considered to be reduced by 1kPa, and the power generation power of the turbine is increased by 0.8%. Therefore, at the lowest back pressure p of the condensercminOn the basis of (1), increasing back pressure to pcnMicro power increase of steam turbineWherein P iseThe rated power of the unit.
Therefore, under the condition of different main steam flow rates q and circulating cooling water return water temperatures T1, the back pressure is controlled from the lowest back pressure p of the condensercminIs raised to pcnThe variation quantity delta N of the power supply power of the unit and the back pressure pcnThe relationship of (a) to (b) is as follows:
then set the back pressure pcnThe variation range is [ p ]cmin,pcbj],pcbjAnd the back pressure is warned for the condenser. At back pressure pcnRange of variation [ p ]cmin,pcbj]In the method, the maximum value delta N of the variation delta N of the power supply power of the unit is searched by utilizing a genetic algorithm at the interval of 0.1kPamaxObtaining a maximum value Δ NmaxCorresponding back pressure pcnThe back pressure pcnNamely the most economic backpressure p of the condenserjj。
Claims (10)
1. The condenser economic backpressure calculation method of the wet cooling unit based on the condenser end difference and the genetic algorithm is characterized by comprising the following steps of:
determining the supply water temperature T2 of the circulating cooling water according to the end difference of the condenser;
determining the flow rate Q of the circulating cooling water according to the heat dissipation Q of the dead steam, the return water temperature T1 of the circulating cooling water and the water supply temperature T2 of the circulating cooling water2;
By using the flow q of the circulating cooling water2Calculating the power consumption W of the circulating cooling water variable frequency pump;
establishing power consumption W of circulating cooling water variable frequency pump and backpressure p of condensercFunction between NQQJL:
W=NQQJL(q,T1,pc),
wherein q is the main steam flow;
by combining with the function NQQJL, the genetic algorithm is utilized to find the back pressure p corresponding to the maximum variation delta N of the power supply power of the unitcnAnd applying the back pressure pcnAs the most economical back pressure p of the condenserjj。
2. The method for calculating the economic back pressure of the condenser of the wet cooling unit based on the condenser end difference and the genetic algorithm according to claim 1, wherein the supply water temperature T2 of the circulating cooling water is calculated according to the following formula:
T2=Ts+detaT,
wherein, TSFor back pressure p of condensercThe saturated steam temperature of (1) and the detaT is the condenser end difference.
3. The method for calculating the economic backpressure of the condenser of the wet cooling unit based on the condenser end difference and the genetic algorithm as claimed in claim 1, wherein the heat absorption capacity of the condenser is equal to the heat dissipation capacity Q of the exhaust steam due to the heat exchange conservation of the condenser of the wet cooling unit, and the flow rate Q of the circulating cooling water is provided2:
q2=Q/(T1-T2)/Cp,
Wherein, CpThe average constant pressure specific heat capacity of the cooling water.
4. The condenser end difference and genetic algorithm-based method for calculating the economic back pressure of the condenser of the wet cooling unit according to claim 1 or 3, wherein the specific method for obtaining the heat dissipation capacity Q of the exhaust steam comprises the following steps:
selecting main steam flow q and condenser back pressure pc,
According to the back pressure p of the condensercObtaining corresponding vaporization latent heat r by looking up a physical property function table of water,
and calculating the heat dissipation capacity Q of the dead steam according to the vaporization latent heat r and the main steam flow Q.
5. The condenser end difference and genetic algorithm-based method for calculating the economic back pressure of the condenser of the wet cooling unit according to claim 4, wherein the waste steam heat dissipation capacity Q is calculated according to the following formula:
Q=H(q)*r,
where H (q) is the exhaust steam flow rate, which is a function of the main steam flow rate q.
6. The condenser end difference and genetic algorithm-based economic backpressure calculation method for the condenser of the wet cooling unit according to claim 1, wherein the power consumption W of the circulating cooling water variable frequency pump is calculated according to the following formula:
W=(q2/q0)3*W0,
wherein q is0Design flow for recirculating cooling water pumps, W0And designing power for the circulating cooling water pump.
7. The method for calculating the economic back pressure of the condenser of the wet cooling unit based on the condenser end difference and the genetic algorithm according to claim 1, 2, 3, 5 or 6, wherein the back pressure p corresponding to the maximum variation delta N of the power supply power of the unit is calculated based on the genetic algorithmcnThe specific method comprises the following steps:
setting back pressure pcnThe variation range is [ p ]cmin,pcbj]Wherein p iscminIs the lowest back pressure, p, of the condensercbjThe back pressure is warned for the condenser,
at back pressure pcnRange of variation [ p ]cmin,pcbj]In the method, the maximum value delta N of the variation delta N of the power supply power of the unit is searched by utilizing a genetic algorithm at the interval of 0.1kPamaxCorresponding backPressure pcn。
8. The condenser end difference and genetic algorithm-based economic backpressure calculation method for the condenser of the wet cooling unit according to claim 7, wherein the power supply power variation delta N expression of the unit is as follows:
ΔN=ΔP-[NQQJL(q,T1,pcn)-W0],
wherein, W0And designing power for the circulating cooling water pump, wherein delta P is the micro-power increase of the steam turbine.
9. The condenser end difference and genetic algorithm-based method for calculating the economic back pressure of the condenser of the wet cooling unit according to claim 8, wherein the turbine incremental work Δ P is calculated according to the following formula:
wherein, PeThe rated power of the unit.
10. The condenser end difference and genetic algorithm-based method for calculating the economic backpressure of the condenser of the wet cooling unit according to claim 7, wherein the calling format of the genetic algorithm is as follows:
[-ΔNmax,pjj]=ga(-MAXΔN,5,[],[],[],[],[pcmin],[pcbj],[],options)
wherein, MAX Δ N is a value function of Δ N, and options are attribute setting functions of the genetic algorithm.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE643517C (en) * | 1935-10-15 | 1937-04-10 | Aeg | Control device for a two-pressure counter-pressure steam turbine used to drive a boiler feed pump |
US4642992A (en) * | 1986-02-04 | 1987-02-17 | Julovich George C | Energy-saving method and apparatus for automatically controlling cooling pumps of steam power plants |
JP2007262916A (en) * | 2006-03-27 | 2007-10-11 | Jfe Steel Kk | Condenser vacuum control method of condensate steam turbine |
CN103216282A (en) * | 2013-04-24 | 2013-07-24 | 华北电力大学 | Thermal power generating unit loading control system and method based on continuously adjustable back pressure |
KR101512273B1 (en) * | 2014-08-20 | 2015-04-14 | 코넥스파워 주식회사 | Steam turbine condenser optimizing system and the method thereof |
CN106250617A (en) * | 2016-07-29 | 2016-12-21 | 上海交通大学 | The double back pressure cold end system variable frequency pump circulating water flow optimization method of a kind of fired power generating unit |
CN107366560A (en) * | 2017-08-30 | 2017-11-21 | 中国大唐集团科学技术研究院有限公司西北分公司 | A kind of exhaust steam pressure optimization method of wet type cooling unit steam turbine |
CN111058911A (en) * | 2019-11-27 | 2020-04-24 | 河北涿州京源热电有限责任公司 | Thermal generator set cold end back pressure real-time control method based on environment wet bulb temperature |
CN112032032A (en) * | 2020-07-20 | 2020-12-04 | 国网河北省电力有限公司电力科学研究院 | Optimization method for frequency conversion operation mode of open type circulating water pump of wet cooling unit |
-
2021
- 2021-05-11 CN CN202110512358.2A patent/CN113239538B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE643517C (en) * | 1935-10-15 | 1937-04-10 | Aeg | Control device for a two-pressure counter-pressure steam turbine used to drive a boiler feed pump |
US4642992A (en) * | 1986-02-04 | 1987-02-17 | Julovich George C | Energy-saving method and apparatus for automatically controlling cooling pumps of steam power plants |
JP2007262916A (en) * | 2006-03-27 | 2007-10-11 | Jfe Steel Kk | Condenser vacuum control method of condensate steam turbine |
CN103216282A (en) * | 2013-04-24 | 2013-07-24 | 华北电力大学 | Thermal power generating unit loading control system and method based on continuously adjustable back pressure |
KR101512273B1 (en) * | 2014-08-20 | 2015-04-14 | 코넥스파워 주식회사 | Steam turbine condenser optimizing system and the method thereof |
CN106250617A (en) * | 2016-07-29 | 2016-12-21 | 上海交通大学 | The double back pressure cold end system variable frequency pump circulating water flow optimization method of a kind of fired power generating unit |
CN107366560A (en) * | 2017-08-30 | 2017-11-21 | 中国大唐集团科学技术研究院有限公司西北分公司 | A kind of exhaust steam pressure optimization method of wet type cooling unit steam turbine |
CN111058911A (en) * | 2019-11-27 | 2020-04-24 | 河北涿州京源热电有限责任公司 | Thermal generator set cold end back pressure real-time control method based on environment wet bulb temperature |
CN112032032A (en) * | 2020-07-20 | 2020-12-04 | 国网河北省电力有限公司电力科学研究院 | Optimization method for frequency conversion operation mode of open type circulating water pump of wet cooling unit |
Non-Patent Citations (2)
Title |
---|
CSPPLAZA光热发电平台: "凝汽器背压降低0.2kpa对光热电站意味着什么?", pages 160 - 161, Retrieved from the Internet <URL:https://mp.weixin.qq.com/s/vg30LJL7i-3M-rm13mU1lw> * |
翟永杰等: "直接空冷机组最佳背压计算方法及应用", 《动力工程学报》, vol. 36, no. 7, pages 576 - 578 * |
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