CN106774190A - Wet cooling gas turbine group condenser vacuum exception auto-check system and method - Google Patents

Wet cooling gas turbine group condenser vacuum exception auto-check system and method Download PDF

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Publication number
CN106774190A
CN106774190A CN201611044297.7A CN201611044297A CN106774190A CN 106774190 A CN106774190 A CN 106774190A CN 201611044297 A CN201611044297 A CN 201611044297A CN 106774190 A CN106774190 A CN 106774190A
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condenser
condenser vacuum
vacuum
gas turbine
unit
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宗绪东
王述宝
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Qingdao Kingdom Information Technology Co Ltd
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Qingdao Kingdom Information Technology Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/4183Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/31From computer integrated manufacturing till monitoring
    • G05B2219/31282Data acquisition, BDE MDE
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Control Of Turbines (AREA)

Abstract

The present invention relates to wet cooling gas turbine group condenser vacuum exception auto-check system and method, wherein, the auto-check system passes sequentially through data acquisition module, data and calculates processing module, analysis judge module, Analysis on Abnormal module, diagnostic result and suggestion display module, finally realize the on-line automatic diagnosis of unit condenser vacuum, so as to find whether condenser vacuum exception and analyzes reason in time, propose targetedly improving suggestions so that operations staff can effectively be adjusted to realize reducing the purpose of unit coa consumption rate in time.The automatic diagnosis method is diagnosed automatically extremely with Fault tree diagnosis method to wet cooling gas turbine group condenser vacuum, i.e. by the way that all relevant parameters for influenceing condenser vacuum are carried out with comprehensive, comprehensively analysis and diagnosis, to judge whether condenser vacuum is normal, abnormal cause is found out simultaneously, final acquisition has targetedly improving suggestions.

Description

Wet cooling gas turbine group condenser vacuum exception auto-check system and method
Technical field
The present invention relates to wet cooling gas turbine group exception auto-check system and method, more particularly to a kind of wet cooling gas turbine group Condenser vacuum exception auto-check system and method.
Background technology
Because the current electric power enterprise of China is most based on thermal power generation, therefore the pressure of energy-saving and emission-reduction is larger.Meanwhile, Each thermal power generation corporations are also all further reduced in the technical method that exploration is energy-saving, and exploration by running optimizatin always The technological means of thermal power generation corporations' net coal consumption rate.The technical indicator of cold end system mainly has condenser vacuum, water circulating pump Consumption rate etc..For turbine system, condenser vacuum is very big to the economic influence of unit, such as 300MW units Condenser vacuum often reduces 1kPa, and will result directly in coa consumption rate accordingly increases about 3.2g/ (kWh), it can be seen that, in unit just It is particularly important for the monitoring of condenser vacuum in normal running.But, at present to condensing in unit normal course of operation The diagnostic analysis work of device vacuum parameters, is mainly completed by the working experience of technical staff and using test method, this Can exist found when parameter occurs abnormal not in time, the analysis of causes is unclear, the inappropriate technological deficiency for the treatment of measures, finally lead Cause the economy of unit operation poor.It would therefore be highly desirable to improve.
It is true that the Chinese invention patent of Patent No. ZL201510697599.3 discloses a kind of condenser based on k-M models Dummy status method of discrimination, based on limited experimentation data, sets up between the normal heat transfer coefficient kc of condenser and dimensionless group M Functional relation, and then determine the normal heat transfer coefficient kc of condenser under any operating condition of unit, by relatively more normal heat transfer system Number and the deviation of actual heat transfer coefficient, judge whether condenser vacuum is normal.Compared with prior art, the invention is directed to what is given Actual set, is not necessary to know the specific physical dimension of condenser, and any fortune is determined using the test data of limited stability operating mode Whether the vacuum of condenser is normal under row steady working condition.But whether the invention is still to judge condenser vacuum using test method Normally, thus still suffer from being found when parameter occurs abnormal not in time, the analysis of causes is unclear, the inappropriate technology for the treatment of measures lacks Fall into, ultimately result in the poor negative consequence of the economy of unit operation.Additionally, the invention is to the abnormal judgement of condenser vacuum A kind of relatively low this result of condenser vacuum is only limitted to, condenser vacuum can not be effectively determined too high or more than vacuum limit Situation, this condenser vacuum is too high when actually in the winter time or be very universal more than vacuum limit phenomenon, therefore should Invention occurs the technological deficiency failed to judge and cause the rising of unit heat consumption rate, economy to reduce.
The Chinese invention patent of Patent No. ZL201610412726.5 discloses a kind of condenser vacuum based on FAHP The quantitative Diagnosis method of influence factor is reduced, the analysis side of influence factor is reduced as condenser vacuum with Fuzzy AHP The recognition methods of method and condenser vacuum state.Determine condenser vacuum reduction failure factor set;Set up condenser vacuum Failure factor hierarchical structure is reduced, doing level according to the failure factor set having determined divides;Set up fuzzy judgment matrix, Each correlative factor that may cause condenser vacuum reduction failure is compared two-by-two using 0.1-0.9 scaling laws, is provided person in servitude Category degree function simultaneously constructs fuzzy judgment matrix;After the fuzzy judgment matrix for having constructed condenser vacuum reduction influence factor, need Crash consistency verification is carried out to it;Crash consistency according to Fuzzy consistent matrix can be calculated condenser vacuum reduction The weight of each influence factor, weight the maximum can regard as causing the failure cause of condenser vacuum reduction, finally complete failure Diagnosis.But the invention is to screen to find out the weight limit person of influence condenser vacuum by matrix, and thinks that the factor is exactly Cause the failure cause of condenser vacuum reduction, fault diagnosis is completed with this.But this method for diagnosing faults be it is very unilateral, Real work is not applied for, reason is:Three key elements of generally influence condenser vacuum are condenser inlet water temperature, recirculated water Temperature rise and condenser terminal difference, condenser vacuum is low to be likely to be what one of described three elements were caused, it is also possible to be described three will What any two factor in element was caused, can not also exclude three factors and cause jointly.Therefore the invention is only selected Weight the maximum was not only unilateral but also impracticable to carry out fault diagnosis, can not be used for solving technology present in above-mentioned prior art Problem.Additionally, the invention is only a kind of quantitative Diagnosis method to condenser vacuum reduction influence factor, it is clear that the technical scheme Can not possibly be too high to condenser vacuum or effectively judgement be made more than the situation of vacuum limit, it is this solidifying when actually in the winter time Vapour device vacuum is too high or be very universal more than vacuum limit phenomenon, therefore the invention equally occurs and fail to judge and cause unit Heat consumption rate is raised, the technological deficiency of economy reduction.
The content of the invention
In order to solve the technological deficiency that above-mentioned existing steam condenser of steam turbine set vacuum failure diagnosis is present, the invention provides The technical scheme of a kind of complete, the powerful steam condenser of steam turbine set vacuum abnormity diagnostic system of system and method, specific side Case is as follows:
Wet cooling gas turbine group condenser vacuum exception auto-check system, including unit DCS control engineer station and unit PI servers, the output end of the unit DCS controls engineer station is connected with the input of the unit PI servers, also wraps Include real-time data acquisition and calculate output stage and unit cooperative control module, output end and the reality of the unit PI servers When data acquisition calculate the input of output stage and be connected, the real-time data acquisition calculates output end and the institute of output stage Unit cooperative control module is stated to be connected.
The unit DCS controls engineer station:For uploading pending data to the unit PI servers;It is described real-time Data acquisition calculates output stage:For collecting relevant supplemental characteristic from the unit PI servers and being processed;It is described Unit cooperative control module includes unit display platform module:Calculated through data acquisition calculating output stage for receiving The related data for arriving.
Preferably, the real-time data acquisition calculate output stage include digital sampling and processing, at data calculating Reason module and command output module, the output end of the unit PI servers and the input phase of the digital sampling and processing Connection, the input that the output end of the digital sampling and processing calculates processing module with the data is connected, the number It is connected with the input of the command output module according to the output end for calculating processing module, the output of the command output module End is connected with the input of the unit cooperative control module.
The digital sampling and processing:For processing supplemental characteristic is collected about from the unit PI servers; The data calculate processing module:For being calculated being collected about supplemental characteristic, being analyzed and processed;The instruction output mould Block:For exporting diagnostic result, abnormal cause and improving suggestions that processing module treatment is obtained are calculated through the data.
In any of the above-described scheme preferably, the unit DCS controls engineer station includes the pending data of collection.
In any of the above-described scheme preferably, the pending data of the collection includes load parameter.
In any of the above-described scheme preferably, the pending data of the collection includes condenser vacuum parameter.
In any of the above-described scheme preferably, the pending data of the collection includes low pressure (LP) cylinder exhaust temperature parameter.
In any of the above-described scheme preferably, the pending data of the collection includes atmospheric pressure parameter.
In any of the above-described scheme preferably, the pending data of the collection includes condenser inlet water temperature parameter.
In any of the above-described scheme preferably, the pending data of the collection includes condenser exit water temperature parameter.
In any of the above-described scheme preferably, the pending data of the collection includes ambient wet bulb temperature parameter.
In any of the above-described scheme preferably, the pending data of the collection includes water circulating pump current parameters.
In any of the above-described scheme preferably, the pending data of the collection includes vavuum pump current parameters.
In any of the above-described scheme preferably, the pending data of the collection includes vacuum pump inlet air hose wall temperature Degree parameter.
In any of the above-described scheme preferably, the pending data of the collection includes that vacuum pump inlet and condenser are taken out Air outlet slit differential pressure parameter.
In any of the above-described scheme preferably, the pending data of the collection includes vacuum pump inlet work water temperature ginseng Number.
In any of the above-described scheme preferably, the pending data of the collection includes vacuum pump outlet work water temperature ginseng Number.
Data in the optimal technical scheme calculate processing module and belong to core processing module, described negative by gathering Lotus, condenser vacuum, low pressure (LP) cylinder exhaust temperature, atmospheric pressure, condenser inlet water temperature, condenser exit water temperature, ambient wet bulb Temperature, water circulating pump electric current, vavuum pump electric current, vacuum pump inlet air tube wall temperature, vacuum pump inlet and Condenser Extraction Whether the gentle vacuum pump outlet work water temperature parameters of outlet differential pressure, vacuum pump inlet working water, calculate and judge condenser vacuum Normally, the reason for analyzing influence vacuum is abnormal, while providing accurately suggestion for abnormal cause.
Wet cooling gas turbine group condenser vacuum exception automatic diagnosis method, comprises the following steps:
Step one:For the rational condenser inlet water temperature of Power Plant correspondence, recirculated water temperature rise, condenser terminal difference, meter Calculate theoretical low pressure (LP) cylinder exhaust temperature up to value, then theoretical back pressure of condenser should be found to reach value, subtract real atmosphere pressure, coagulated Vapour device Vacuum goal value.Low pressure (LP) cylinder exhaust temperature desired value tS=tW1+△tWt
Wherein:tW1It is condenser inlet water temperature, △tWIt is recirculated water temperature rise, δtIt is condenser terminal difference;
Step 2:By to actual condenser vacuum value, actual low pressure (LP) cylinder exhaust temperature inverse condenser vacuum and theory Condenser vacuum should draw the higher or relatively low conclusion of condenser vacuum up to after being contrasted between value;
Step 3:According to condenser vacuum diagnostic result, using failure tree analysis (FTA) pattern step by step, in terms by terms search reason, All reasons until finding influence condenser vacuum, are then reached as final conclusion and propose improving suggestions.
Compared with the prior art, the invention has the advantages that:Wet cooling gas turbine group condenser vacuum of the invention is abnormal certainly Dynamic diagnostic system passes sequentially through data acquisition module, data and calculates processing module, analysis judge module, Analysis on Abnormal mould Block, diagnostic result and suggestion display module finally realize the on-line automatic diagnostic work of unit condenser vacuum such that it is able to and Shi Faxian condenser vacuums are with the presence or absence of exception and analyze reason until proposing rational improving suggestions so that operations staff can Effectively adjusted to realize reducing the purpose of unit coa consumption rate in time.Wet cooling gas turbine group condenser vacuum of the invention is different Normal automatic diagnosis method is the method being combined using theory and practice on the basis of existing technology, is diagnosed with fault tree Method is diagnosed automatically extremely to wet cooling gas turbine group condenser vacuum, i.e., by all correlations to influenceing condenser vacuum Parameter carries out comprehensive, comprehensively analysis and diagnosis, to judge whether condenser vacuum is normal, while abnormal cause is found out, most Obtaining eventually has targetedly reform advice.The present invention has passed through up to a hundred of scene unit condenser vacuum in real work Diagnosis and verification, in practice it has proved that:Above-mentioned technical proposal is accurate to the on-line automatic diagnostic work of unit condenser vacuum and can Lean on.
Brief description of the drawings
Fig. 1 is the totality of the preferred embodiment of wet cooling gas turbine group condenser vacuum exception auto-check system of the invention Circuit theory schematic diagram;
Fig. 2 is the failure of the preferred embodiment of wet cooling gas turbine group condenser vacuum exception automatic diagnosis method of the invention Tree checkup item circuit theory schematic diagram.
Description of reference numerals:
1 real-time data acquisition calculates output stage;2 unit PI servers;3 unit DCS control engineer station;4 data are adopted Collection processing module;5 data calculate processing module;6 command output modules;7 unit cooperative control modules;P0Actual condenser vacuum Value;P1Low pressure (LP) cylinder exhaust temperature inverse condenser vacuum value;P2Theoretical calculation should reach vacuum values.
Specific embodiment
The present embodiment is only an optimal technical scheme, wherein involved all modules and annexation are not limited In following this kind of embodiment described by the embodiment, the setting and connection of all modules in the preferred scheme Relation can carry out arbitrary permutation and combination and form complete technical scheme.
As shown in figure 1, wet cooling gas turbine group condenser vacuum exception auto-check system, including unit DCS control engineerings Teacher stands 3 and unit PI servers 2, and the output end of unit DCS control engineer stations 3 is connected with the input of unit PI servers 2 Connect, also including real-time data acquisition calculate output stage 1 and unit cooperative control module 7, the output end of unit PI servers 2 with The input that real-time data acquisition calculates output stage 1 is connected, and real-time data acquisition calculates the output end and machine of output stage 1 Group coordinating control module 7 is connected.Real-time data acquisition calculates output stage 1 and is calculated including digital sampling and processing 4, data Processing module 5 and command output module 6, the output end of unit PI servers 2 are connected with the input of digital sampling and processing 4 Connect, the input that the output end of digital sampling and processing 4 calculates processing module 5 with data is connected, and data calculate treatment mould The output end of block 5 is connected with the input of command output module 6, and output end and the unit cooperative of command output module 6 are controlled The input of module 7 is connected.Unit DCS control engineer station 3 include collection pending data, the collection it is pending Data at least include load, condenser vacuum, low pressure (LP) cylinder exhaust temperature, atmospheric pressure, condenser inlet water temperature, condenser outlet Water temperature, ambient wet bulb temperature, water circulating pump electric current, vavuum pump electric current, vacuum pump inlet air tube wall temperature, vacuum pump inlet and The gentle vacuum pump outlet work water temperature parameters of Condenser Extraction outlet differential pressure, vacuum pump inlet working water.
Unit DCS controls engineer station 3:For uploading pending data to unit PI servers 2;Real-time data acquisition meter Calculate output stage 1:For collecting relevant supplemental characteristic from unit PI servers 2 and being processed;Unit cooperative control module 7 Including unit display platform module:For receiving the related data that output stage 1 is calculated is calculated through data acquisition.Data are adopted Collection processing module 4:For processing supplemental characteristic is collected about from unit PI servers 2;Data calculate processing module 5:With In being calculated being collected about supplemental characteristic, analyzed and processed;Command output module 6:Processed through data calculating for exporting Diagnostic result, abnormal cause and improving suggestions that the treatment of module 5 is obtained.Data in the embodiment calculate processing module 5 and belong to In core processing module, by gathering the load, condenser vacuum, low pressure (LP) cylinder exhaust temperature, atmospheric pressure, condenser entrance Water temperature, condenser exit water temperature, ambient wet bulb temperature, water circulating pump electric current, vavuum pump electric current, vacuum pump inlet air hose wall temperature The gentle vacuum pump outlet work water temperature ginseng of degree, vacuum pump inlet and Condenser Extraction outlet differential pressure, vacuum pump inlet working water Number, calculates and analyzes whether condenser vacuum normal and influence vacuum abnormal cause, while provided for abnormal cause to adopt The suggested measures for taking.
Operation principle of the invention:By above-described embodiment, the invention mainly comprises data acquisition module, data meter Calculate processing module, analysis judge module, Analysis on Abnormal module, diagnostic result and suggestion display module.First, by calculating Be acquired for the related parameter information of unit cold end system to equipment by machine system;Secondly, will by digital sampling and processing After raw process parameter data information is processed, calculates processing module by data and calculated each relevant parameter online Primary Calculation result;Again, the result of calculation is analyzed by analyzing and diagnosing module and judges condenser vacuum Whether parameter is in normal range (NR);Finally, by Analysis on Abnormal module analyse item by item and find out reason and propose to build View, diagnosis shows diagnostic result and improving suggestions by result display module.It is abnormal automatic by the condenser vacuum Diagnostic system finally realizes the on-line automatic diagnostic work of unit condenser vacuum after above-mentioned work in every process is completed, from And can in time find condenser vacuum with the presence or absence of exception and analyze reason until proposing rational improving suggestions so that operation Personnel can effectively be adjusted to realize reducing the purpose of unit coa consumption rate in time.
As shown in Fig. 2 wet cooling gas turbine group condenser vacuum exception automatic diagnosis method, comprises the following steps:
Step one:For the rational condenser inlet water temperature of Power Plant correspondence, recirculated water temperature rise, condenser terminal difference, meter Calculate theoretical low pressure (LP) cylinder exhaust temperature up to value, then theoretical back pressure of condenser should be found to reach value, subtract real atmosphere pressure, coagulated Vapour device Vacuum goal value.Low pressure (LP) cylinder exhaust temperature desired value tS=tW1+△tWt
Wherein:tW1It is condenser inlet water temperature, △tWIt is recirculated water temperature rise, δtIt is condenser terminal difference;
Step 2:By to actual condenser vacuum value, actual low pressure (LP) cylinder exhaust temperature inverse condenser vacuum and theory Condenser vacuum should draw the higher or relatively low conclusion of condenser vacuum up to after being contrasted between value;
Step 3:According to condenser vacuum diagnostic result, using failure tree analysis (FTA) pattern step by step, in terms by terms search reason, All reasons until finding influence condenser vacuum, are then reached as final conclusion and propose improving suggestions.
1. condenser vacuum of the invention is higher or relatively low diagnostic method
1) by the actual condenser vacuum value P of unit0Vacuum values P should be reached with theoretical calculation2Compare, if P0-P2> 0.5kPa or P0-P2During < 0.5kPa, then illustrate that condenser vacuum may be relatively low or higher.
2) by the actual low pressure (LP) cylinder exhaust temperature inverse condenser vacuum value P of unit1Vacuum values P should be reached with theoretical calculation2 Compare, if P1-P2> 0.5kPa or P0-P2During < 0.5kPa, then illustrate that condenser vacuum may be relatively low or higher.
Above-mentioned two conditions are provided with, that is, illustrate that condenser vacuum is higher or relatively low.
2. relatively low direct, indirect acting factor the diagnostic method of condenser vacuum of the invention
(1) condenser inlet water temperature diagnosis
Closed cycle cools down unit, and traditional efficiency of cooling tower is adopted and experimentally drawn, experiment work amount is very big And inline diagnosis cannot be realized.It is of the invention then by cooling tower surrounding installing three wet-bulb thermometer measuring points additional and passing average value Enter DCS.When inlet water temperature-cooling tower wet-bulb temperature >=7 DEG C, then efficiency of cooling tower is low, is checked according to Fig. 2.
Open cycle cooling unit (seawater, river) need not diagnose inlet water temperature.
(2) condenser recirculated water temperature rise diagnosis
Condenser recirculated water temperature rise desired value is obtained by following empirical value:March, April, May, October take 10 DEG C;June, 7 The moon, August, September take 9 DEG C;November, December, January, 2 months take 11 DEG C.
1.5 DEG C of the difference > of recirculated water temperature rise and desired value, illustrates that recirculated water temperature rise is higher.
1) the unreasonable diagnostic method of the water circulating pump method of operation
Under certain load, water temperature condition, by checking operation circulating pump electric current, condenser entrance circulating water pressure, test Card pump operating cycle mode is unreasonable.
2) the big diagnostic method of circulation resistance
Condenser entrance circulating water pressure-normal value >=0.01MPa.
3) water circulating pump is exerted oneself low diagnostic method
Water circulating pump electric current, efficiency (approximate calculation draws) are compared with design load and other operating circulating water pumps, is less than 10% proof is exerted oneself low.
4) condenser duty diagnostic method
Under the conditions of circulating water flow is normal, if recirculated water temperature rise is higher, should be judged to that condenser duty is high.Sentence Disconnected subsidiary conditions:
A. steam turbine, small machine internal efficiency more relatively low than design load 6% and more than;
B. low other pressure-reducing valve, height plus unrestrained water valve are opened;
C. each hydrophobic manifold temperature of high and low pressure hydrophobic development unit is high;
D. most end one-level is low plus without water level operation.
(3) condenser terminal difference diagnosis
The actual end difference of unit condenser and 1.5 DEG C of the deviation > of desired value, illustrate condenser terminal difference exception under rated load. Condenser terminal difference desired value is obtained using the data interpolating of table 1:
Table 1:
Coolant water temperature (DEG C) Hold poor (DEG C)
5 9
14 7
20 5
25 4
30 3
35 2.5
1) Cooling Tubes of Condenser road cleannes diagnostic method
Under conditions of 10 DEG C of unit condenser recirculated water temperature rise, compare condenser averaging loop water outlet temperature T circulations Water out-operation vavuum pump average inlet air hose temperature difference:
300MW units and level below, 4 DEG C of T circulating water outlet-T air tube inlets <, Cooling Tubes of Condenser cleannes Difference.
300MW ratings above units, 2 DEG C of T circulating water outlet-T air tube inlets <, Cooling Tubes of Condenser cleannes are poor.
2) Steam Side of Condenser air content diagnostic method
1. Tightness Property of Condenser Vacuum System diagnostic method
In the temperature rise of condenser recirculated water under conditions of 10 DEG C, condenser averaging loop water outlet temperature T circulating water outlets- Operation vavuum pump average inlet air hose temperature difference:
If 8 DEG C of 300MW units and level below unit T circulating water outlet-T air tube inlets >, vacuum tightness is not It is qualified.
If 6 DEG C of 300MW ratings above unit T circulating water outlet-T air tube inlets >, vacuum tightness is unqualified.
2. air ejector performance diagnogtics method
A. the low diagnostic method of air ejector end vacuum
Condenser outlet air pipeline pressure and pressure difference < 0.6kPa both vacuum pump inlet pipeline pressure.
B. air ejector suction capactity deficiency diagnostic method
Entrance work 10 DEG C of coolant-temperature gage >=30 DEG C or working water gateway temperature rise >
3. the diagnostic method of the higher influence factor of condenser vacuum of the invention
(1) the unreasonable diagnostic method of the water circulating pump method of operation
Under certain load, water temperature condition, by checking operation circulating pump electric current, condenser entrance circulating water pressure, test Card pump operating cycle mode is unreasonable.
(2) the relatively low diagnostic method of condenser duty
Judged by the method for checking the external steam supply flow of winter unit.

Claims (10)

1. wet cooling gas turbine group condenser vacuum exception auto-check system, including unit DCS control engineer station(3)And unit PI servers(2), unit DCS control engineer stations(3)Output end and unit PI servers(2)Input be connected, its It is characterised by, also calculates output stage including real-time data acquisition(1)With unit cooperative control module(7), unit PI servers (2)Output end and real-time data acquisition calculate output stage(1)Input be connected, it is flat that real-time data acquisition calculates output Platform(1)Output end and unit cooperative control module(7)It is connected.
2. wet cooling gas turbine group condenser vacuum as claimed in claim 1 exception auto-check system, it is characterised in that in real time Data acquisition calculates output stage(1)Including digital sampling and processing(4), data calculate processing module(5)Exported with instruction Module(6), unit PI servers(2)Output end and digital sampling and processing(4)Input be connected, at data acquisition Reason module(4)Output end and data calculate processing module(5)Input be connected, data calculate processing module(5)It is defeated Go out end and command output module(6)Input be connected, command output module(6)Output end and unit cooperative control module (7)Input be connected.
3. wet cooling gas turbine group condenser vacuum as claimed in claim 1 exception auto-check system, it is characterised in that unit DCS controls engineer station(3)Including the pending data for gathering.
4. wet cooling gas turbine group condenser vacuum as claimed in claim 3 exception auto-check system, it is characterised in that described The pending data of collection includes load parameter.
5. wet cooling gas turbine group condenser vacuum as claimed in claim 3 exception auto-check system, it is characterised in that described The pending data of collection includes condenser vacuum parameter.
6. wet cooling gas turbine group condenser vacuum as claimed in claim 3 exception auto-check system, it is characterised in that described The pending data of collection includes low pressure (LP) cylinder exhaust temperature parameter.
7. wet cooling gas turbine group condenser vacuum as claimed in claim 3 exception auto-check system, it is characterised in that described The pending data of collection includes atmospheric pressure parameter.
8. wet cooling gas turbine group condenser vacuum as claimed in claim 3 exception auto-check system, it is characterised in that described The pending data of collection includes condenser inlet water temperature parameter.
9. wet cooling gas turbine group condenser vacuum as claimed in claim 3 exception auto-check system, it is characterised in that described The pending data of collection includes condenser exit water temperature parameter.
10. wet cooling gas turbine group condenser vacuum exception automatic diagnosis method, comprises the following steps:
Step one:For the rational condenser inlet water temperature of Power Plant correspondence, recirculated water temperature rise, condenser terminal difference, calculate Theoretical low pressure (LP) cylinder exhaust temperature up to value, then should be found theoretical back pressure of condenser and should subtract real atmosphere pressure up to value, obtain condenser Vacuum goal value, low pressure (LP) cylinder exhaust temperature desired value tS=tW1+△tWt
Wherein:tW1It is condenser inlet water temperature, △tWIt is recirculated water temperature rise, δtIt is condenser terminal difference;
Step 2:By to actual condenser vacuum value, actual low pressure (LP) cylinder exhaust temperature inverse condenser vacuum and theoretical condensing The higher or relatively low conclusion of condenser vacuum is drawn after being contrasted between device norm vacuum;
Step 3:According to condenser vacuum diagnostic result, using failure tree analysis (FTA) pattern step by step, in terms by terms search reason, until All reasons of influence condenser vacuum are found, final conclusion is then reached as and is proposed improving suggestions.
CN201611044297.7A 2016-11-24 2016-11-24 Wet cooling gas turbine group condenser vacuum exception auto-check system and method Pending CN106774190A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108362329A (en) * 2018-01-23 2018-08-03 华电国际电力股份有限公司技术服务中心 Steam condenser of steam turbine set end difference abnormity diagnostic system and method
CN109632205A (en) * 2018-12-05 2019-04-16 北京英贝思科技有限公司 The on-line calculation method of Tightness Property of Condenser Vacuum System
CN112595137A (en) * 2020-12-10 2021-04-02 东方电气集团东方汽轮机有限公司 Method for on-line monitoring and analyzing performance of condenser and computer expert system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104131847A (en) * 2014-06-30 2014-11-05 华电国际电力股份有限公司技术服务中心 Automatic optimization control system and method of rated sliding pressure of steam turbine unit
CN105569748A (en) * 2014-10-31 2016-05-11 王砧 Operation back pressure continuous optimized control method and system for wet cooling steam turbine
CN106096272A (en) * 2016-06-12 2016-11-09 华电电力科学研究院 A kind of condenser vacuum based on FAHP reduces the quantitative Diagnosis method of influence factor
CN206224226U (en) * 2016-11-24 2017-06-06 青岛国瑞信息技术有限公司 Wet cooling gas turbine group condenser vacuum exception auto-check system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104131847A (en) * 2014-06-30 2014-11-05 华电国际电力股份有限公司技术服务中心 Automatic optimization control system and method of rated sliding pressure of steam turbine unit
CN105569748A (en) * 2014-10-31 2016-05-11 王砧 Operation back pressure continuous optimized control method and system for wet cooling steam turbine
CN106096272A (en) * 2016-06-12 2016-11-09 华电电力科学研究院 A kind of condenser vacuum based on FAHP reduces the quantitative Diagnosis method of influence factor
CN206224226U (en) * 2016-11-24 2017-06-06 青岛国瑞信息技术有限公司 Wet cooling gas turbine group condenser vacuum exception auto-check system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108362329A (en) * 2018-01-23 2018-08-03 华电国际电力股份有限公司技术服务中心 Steam condenser of steam turbine set end difference abnormity diagnostic system and method
CN109632205A (en) * 2018-12-05 2019-04-16 北京英贝思科技有限公司 The on-line calculation method of Tightness Property of Condenser Vacuum System
CN112595137A (en) * 2020-12-10 2021-04-02 东方电气集团东方汽轮机有限公司 Method for on-line monitoring and analyzing performance of condenser and computer expert system

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