CN103389743B - Method for considering real-time operation cleanness factors of condenser and improving efficiency of generating set - Google Patents
Method for considering real-time operation cleanness factors of condenser and improving efficiency of generating set Download PDFInfo
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- CN103389743B CN103389743B CN201310311156.7A CN201310311156A CN103389743B CN 103389743 B CN103389743 B CN 103389743B CN 201310311156 A CN201310311156 A CN 201310311156A CN 103389743 B CN103389743 B CN 103389743B
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- 238000000034 method Methods 0.000 title claims abstract description 27
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 85
- 238000010977 unit operation Methods 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims abstract description 7
- 230000003749 cleanliness Effects 0.000 claims description 36
- 241001269238 Data Species 0.000 claims description 3
- 238000012886 linear function Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000001816 cooling Methods 0.000 description 1
- 239000000498 cooling water Substances 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
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- 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
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Abstract
The invention discloses a method for considering real-time operation cleanness factors of a condenser and improving efficiency of a generating set. The method comprises the steps as follows: related data in an operating unit is collected by a real-time operation data collecting and processing system of the condenser, and sent to a real-time operation cleanness factor computing unit and an optimal vacuum computing unit of the condenser; the real-time operation cleanness factor computing unit sequentially computes the real-time operation cleanness factors of the condenser according to the received data, and sends the computation results to the optimal vacuum computing unit of the condenser; the optimal vacuum computing unit of the condenser adopts an iterative computing method to confirm a circulating water flow rate corresponding to the optimal vacuum state of unit operation, and sends a result to a circulating water flow rate real-time control unit and a deviation correction unit; and the circulating water flow rate real-time control unit and the deviation correction unit are matched with each other so that a circulating water flow rate value is close to an optimal vacuum state value. According to the method, the real-time operation cleanness factors of the condenser are considered, and the optimal vacuum state of the unit operation is optimized and confirmed, so that the optimized operation efficiency of a thermal power generating unit is achieved.
Description
Technical field
The present invention relates to thermal power generation field of energy-saving technology, be specifically related to a kind of method that condenser real time execution cleanliness factor improves thermal power unit operation efficiency of considering.
Background technology
Steam turbine power incremental income △ C can be made after fired power generating unit unified raising condenser vacuum
t, meanwhile, be improve unit operation vacuum and condenser vacuum, and increase the water circulating pump wasted work △ C that circulating water flow causes
p, as both difference △ ω
net=△ C
t-△ C
pbe when reaching maximal value " optimum vacuum " of thermal power unit operation.Turbine efficiency and water circulating pump wasted work can be made when unit runs under " optimum vacuum " state to reach optimum balance state, ensure that unit work efficiency is best.At present, the determination of fired power generating unit optimum vacuum generally all adopts the method for calculating, namely when cooling water temperature and steam turbine load certain, calculate the optimum vacuum under different circulating water flow.But existing method is when calculating total heat transfer coefficient of condenser, all carry out under supposition condenser water side cleanliness factor is the prerequisite of definite value, and condenser is in actual moving process, cleanliness factor changes with steam heat load, circulating water intake water temperature and circulating water flow, thus produce inevitable error when causing optimum vacuum to calculate, make thermal power unit operation efficiency not reach optimum condition.
Summary of the invention
The object of the present invention is to provide a kind of consideration real time execution cleanliness factor to change accurate Numerical heat transfer coefficient, and then obtain more accurate " optimum vacuum " value, finally realize thermal power unit operation efficiency optimization.
For this reason, technical scheme of the present invention is as follows:
Consider that condenser real time execution cleanliness factor improves a method for genset efficiency, comprise the steps,
1) utilize that condenser real-time running data acquisition processing system gathers unit load in operating unit from operation group scattered control system (distributed control systems is called for short DCS), condenser vacuum, condenser hotwell coolant-temperature gage, condenser recirculated water enter pressure of return water and temperature, condenser circulating water flow, water circulating pump running current, the analog quantity of water circulating pump group running status and on-off model data, then the data collected are sent to real time execution cleanliness factor computing unit and condenser " optimum vacuum " computing unit;
2) described real time execution cleanliness factor computing unit calculates the condenser recirculated water log-mean temperature difference of condenser under current operating condition, condenser duty, total heat transfer coefficient and the condenser real time execution cleanliness factor in operating unit successively according to the data received, and result of calculation is sent to condenser " optimum vacuum " computing unit;
3) described condenser " optimum vacuum " computing unit receives the data coming from condenser real-time running data acquisition processing system and real time execution cleanliness factor computing unit simultaneously, by step 2) based on the condenser real time execution cleanliness factor that calculates, investigate the variable quantity of condenser vacuum with condenser circulating water flow, in conjunction with the fair curve of condenser vacuum to generator power, steam turbine power incremental income △ C after calculating unit condenser vacuum
tthe water circulating pump wasted work △ C that circulating water flow causes is increased with for improving unit operation vacuum
p; Iterative computing method is adopted to solve △ ω
net=△ C
t-△ C
pmaximal value, be " optimum vacuum " state of unit operation; Finally obtain △ ω
net=△ C
t-△ C
pcirculating water flow calculated value corresponding when obtaining maximal value, is sent to circulating water flow real-time controlling unit and drift correction unit by this circulating water flow calculated value;
4) described circulating water flow real-time controlling unit tries to achieve the water circulating pump method of operation of its correspondence according to the circulating water flow calculated value received, and controls in real time water circulating pump, then measures circulating water flow measured value and send it to drift correction unit;
5) described drift correction unit is to receiving circulating water flow calculated value and measured value carries out deviation ratio comparatively, obtains drift correction coefficient, sends it to circulating water flow real-time controlling unit;
6) described circulating water flow real-time controlling unit carries out drift correction according to the drift correction coefficient received to circulating water flow, and " optimum vacuum " value that consideration condenser real time execution cleanliness factor is calculated realizes more accurately.
The data of described condenser real-time running data acquisition processing system collection also can be the multi-measuring point simulated datas obtained from scattered control system, first the deviation of each measuring point simulated data and measured data is judged, for the measuring point simulated data averaged again met the demands.
The deviation of described measuring point simulated data and measured data is-5% ~ 5%.
Described condenser real-time running data acquisition processing system utilizes analog quantity Cumulate algorithm (ACCUM), enthalpy to calculate (ENTHAPLY) and analog quantity maker (AVALGRN) module judgement multi-measuring point simulated data and the deviation of measured data and the calculating of each qualified measuring point mean value.
Described real time execution cleanliness factor computing unit utilizes divider algorithm (DIVIDE), multiplier algorithm (MULTIPLY) and density specific volume calculating (DENSIYT) module to complete the calculating of real time execution cleanliness factor.
Described condenser " optimum vacuum " computing unit utilizes the calculating that enthalpy calculates (ENTHAPLY), piecewise linear function generator algorithm (FUNCGEN) completes condenser optimum vacuum.
Described circulating water flow real-time controlling unit utilizes that analog input quotes module (Alref), analog output is quoted module (Aoref) and is connected the real-time control that output module (AlinkOut) realizes water circulating pump with analog quantity page.
The drift correction that described circulating water flow controls in real time is completed by analog quantity rate of change algorithm (RATECHANGE), analog quantity alternative algorithm (SELECT2).
The method considers condenser real time execution cleanliness factor, accurately asks for heat transfer coefficient, and then obtains more accurate unit operation " optimum vacuum " state parameter, makes thermal power unit operation efficiency realize optimization.
Accompanying drawing explanation
Fig. 1 is the concrete steps that the present invention improves the method for unit operation efficiency.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is considered that the method for condenser real time execution cleanliness factor raising unit efficiency is described in detail:
Embodiment 1
As shown in Figure 1, a kind of method considering condenser real time execution cleanliness factor raising unit efficiency, comprises the steps:
1) utilize that condenser real-time running data acquisition processing system gathers unit load in operating unit from operation group scattered control system (distributed control systems is called for short DCS), condenser vacuum, condenser hotwell coolant-temperature gage, condenser recirculated water enter pressure of return water and temperature, condenser circulating water flow, water circulating pump running current, the analog quantity of water circulating pump group running status and on-off model data, then the data collected are sent to real time execution cleanliness factor computing unit and condenser " optimum vacuum " computing unit;
2) described real time execution cleanliness factor computing unit calculates the condenser recirculated water log-mean temperature difference of condenser under current operating condition, condenser duty, total heat transfer coefficient and the condenser real time execution cleanliness factor in operating unit successively according to the data received, and result of calculation is sent to condenser " optimum vacuum " computing unit; Condenser real time execution cleanliness factor computing formula is:
wherein k is total heat transfer coefficient of condenser, k
0for basic heat transfer coefficient, β
tfor circulating water intake temperature correction coefficient, β
mfor cooling tube tubing and wall thickness correction factor.
3) described condenser " optimum vacuum " computing unit receives the data coming from condenser real-time running data acquisition processing system and real time execution cleanliness factor computing unit simultaneously, by step 2) based on the condenser real time execution cleanliness factor that calculates, investigate the variable quantity of condenser vacuum with condenser circulating water flow, in conjunction with the fair curve of condenser vacuum to generator power, steam turbine power incremental income △ C after calculating unit condenser vacuum
tthe water circulating pump wasted work △ C that circulating water flow causes is increased with for improving unit operation vacuum
p; Iterative computing method is adopted to solve △ ω
net=△ C
t-△ C
pmaximal value, be " optimum vacuum " state of unit operation; Finally obtain △ ω
net=△ C
t-△ C
pcirculating water flow calculated value corresponding when obtaining maximal value, is sent to circulating water flow real-time controlling unit and drift correction unit by this circulating water flow calculated value;
4) described circulating water flow real-time controlling unit tries to achieve the water circulating pump method of operation of its correspondence according to the circulating water flow calculated value received, and controls in real time water circulating pump, then measures circulating water flow measured value and send it to drift correction unit;
5) described drift correction unit is to receiving circulating water flow calculated value and measured value carries out deviation ratio comparatively, obtains drift correction coefficient, sends it to circulating water flow real-time controlling unit;
6) described circulating water flow real-time controlling unit carries out drift correction according to the drift correction coefficient received to circulating water flow, and " optimum vacuum " value that consideration condenser real time execution cleanliness factor is calculated realizes more accurately.
Described real time execution cleanliness factor computing unit utilizes divider algorithm (DIVIDE), multiplier algorithm (MULTIPLY), density specific volume calculating (DENSIYT) module to complete the calculating of real time execution cleanliness factor.
Described condenser " optimum vacuum " computing unit utilizes the calculating that enthalpy calculates (ENTHAPLY), piecewise linear function generator algorithm (FUNCGEN) completes condenser optimum vacuum.
Described circulating water flow real-time controlling unit quotes module (Alref) to the real-time control of water circulating pump by analog input, analog output is quoted module (Aoref) and is connected output module (AlinkOut) with analog quantity page and completes.
The drift correction that described circulating water flow controls in real time is completed by analog quantity rate of change algorithm (RATECHANGE), analog quantity alternative algorithm (SELECT2).
Embodiment 2
With consider in embodiment 1 that the difference that condenser real time execution cleanliness factor improves the method for unit efficiency is:
The data of described condenser real-time running data acquisition processing system collection also can be the multi-measuring point simulated datas obtained from scattered control system, first utilize analog quantity Cumulate algorithm (ACCUM), enthalpy to calculate (ENTHAPLY), analog quantity maker (AVALGRN) module and judge that the deviation of each measuring point simulated data and measured data ensures that deviation is between-5% ~ 5%; Again for the measuring point simulated data averaged met the demands.
The method of embodiment 1,2 considers condenser real time execution cleanliness factor, accurately asks for heat transfer coefficient, and then obtains more accurate unit operation " optimum vacuum " state parameter, makes thermal power unit operation efficiency realize optimization.
Claims (8)
1. consider that condenser real time execution cleanliness factor improves a method for genset efficiency, it is characterized in that comprising the following steps:
1) utilize that condenser real-time running data acquisition processing system gathers unit load in operating unit from operation group scattered control system, condenser vacuum, condenser hotwell coolant-temperature gage, condenser recirculated water enter pressure of return water and temperature, condenser circulating water flow, water circulating pump running current, the analog quantity of water circulating pump group running status and on-off model data, then the data collected are sent to real time execution cleanliness factor computing unit and condenser " optimum vacuum " computing unit;
2) described real time execution cleanliness factor computing unit calculates the condenser recirculated water log-mean temperature difference of condenser under current operating condition, condenser duty, total heat transfer coefficient and condenser real time execution cleanliness factor successively according to the data received, and result of calculation is sent to condenser " optimum vacuum " computing unit;
3) described condenser " optimum vacuum " computing unit receives the data coming from condenser real-time running data acquisition processing system and real time execution cleanliness factor computing unit simultaneously, by step 2) based on the condenser real time execution cleanliness factor that calculates, investigate the variable quantity of condenser vacuum with condenser circulating water flow, in conjunction with the fair curve of condenser vacuum to generator power, steam turbine power incremental income Δ C after calculating unit condenser vacuum
tthe water circulating pump wasted work Δ C that circulating water flow causes is increased with for improving unit operation vacuum
p; Iterative computing method is adopted to solve Δ ω
net=Δ C
t-Δ C
pmaximal value, be " optimum vacuum " state of unit operation; Finally obtain Δ ω
net=Δ C
t-Δ C
pcirculating water flow calculated value corresponding when obtaining maximal value, is sent to circulating water flow real-time controlling unit and drift correction unit by this circulating water flow calculated value;
4) described circulating water flow real-time controlling unit tries to achieve the water circulating pump method of operation of its correspondence according to the circulating water flow calculated value received, and water circulating pump is controlled in real time, then measure circulating water flow measured value and send it to drift correction unit;
5) described drift correction unit is to receiving circulating water flow calculated value and measured value carries out deviation ratio comparatively, obtains drift correction coefficient, sends it to circulating water flow real-time controlling unit;
6) described circulating water flow real-time controlling unit carries out drift correction according to the drift correction coefficient received to circulating water flow.
2. the method for claim 1, it is characterized in that: the data of described condenser real-time running data acquisition processing system collection also can be the multi-measuring point simulated datas obtained from scattered control system, first the deviation of each measuring point simulated data and measured data is judged, for the measuring point simulated data averaged again met the demands.
3. method as claimed in claim 2, is characterized in that: the deviation of described measuring point simulated data and measured data is-5% ~ 5%.
4. method as claimed in claim 2, is characterized in that: described condenser real-time running data acquisition processing system utilizes the calculating of analog quantity Cumulate algorithm, enthalpy, analog quantity maker module judgement multi-measuring point simulated data and the deviation of measured data and the calculating of each qualified measuring point mean value.
5. method as claimed in claim 1 or 2, is characterized in that: described real time execution cleanliness factor computing unit utilizes divider algorithm, multiplier algorithm, density specific volume computing module to complete the calculating of real time execution cleanliness factor.
6. method as claimed in claim 1 or 2, is characterized in that: described condenser " optimum vacuum " computing unit utilizes the calculating that enthalpy calculates, piecewise linear function generator algorithm completes condenser optimum vacuum.
7. method as claimed in claim 1 or 2, is characterized in that: the real-time control of described circulating water flow real-time controlling unit to water circulating pump quotes module by analog input, analog output is quoted module and is connected output module with analog quantity page and completes.
8. method as claimed in claim 1 or 2, is characterized in that: the drift correction that described circulating water flow controls in real time is completed by analog quantity rate of change algorithm, analog quantity alternative algorithm.
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| CN105241667B (en) * | 2015-10-23 | 2017-08-25 | 上海电力学院 | Condenser vacuum condition discrimination method based on k M models |
| CN106227180A (en) * | 2016-10-14 | 2016-12-14 | 广东电网有限责任公司电力科学研究院 | A kind of Fossil-fired Unit Performance display packing and scattered control system |
| CN110332911B (en) * | 2019-06-17 | 2021-03-23 | 中科宏声(苏州)声学科技有限公司 | Method for measuring scaling thickness of heat exchange tube nest by adopting vacuum degree of steam condenser |
| CN111895489A (en) * | 2020-06-17 | 2020-11-06 | 天津国电津能滨海热电有限公司 | Enthalpy value calculation-based unit heat supply steam extraction flow measuring method |
| CN112069650B (en) * | 2020-07-21 | 2023-08-18 | 国网河北省电力有限公司电力科学研究院 | Condenser performance evaluation method and terminal equipment |
| CN112085367B (en) * | 2020-09-02 | 2022-08-23 | 浙江浙能技术研究院有限公司 | Condenser dirt coefficient online monitoring method and system |
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| TWI352360B (en) * | 2007-09-06 | 2011-11-11 | Atomic Energy Council | |
| CN102393726A (en) * | 2011-06-09 | 2012-03-28 | 山东电力研究院 | Method for evaluating performance of AGC (automatic gain control) controller of thermal power unit |
| CN103150686A (en) * | 2013-02-06 | 2013-06-12 | 中国电力科学研究院 | Network and province integrated plan establishment method based on distributed preprocessing and hierarchical coordination |
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