CN204423416U - A kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value - Google Patents
A kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value Download PDFInfo
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- CN204423416U CN204423416U CN201420796963.2U CN201420796963U CN204423416U CN 204423416 U CN204423416 U CN 204423416U CN 201420796963 U CN201420796963 U CN 201420796963U CN 204423416 U CN204423416 U CN 204423416U
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
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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
- 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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Abstract
The utility model discloses a kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value, relate to thermal power unit operation control technology.The structure of this device is: fired power generating unit (100), power plant's operational monitoring device (101), data statistics processing device (102), evaluation index counter (103) is connected successively with data publication device (104).The new reference value of the utility model changes along with the change of operating condition; When calculating consumption difference function, what choose is contact with actual motion human users the controllable factor that operations staff is controlled more closely to calculate; Establish the relation between evaluation index and each operations factor, establish Optimum Operation under various operating mode, have directive significance to the operation of operations staff; Extraneous uncontrollable environmental baseline is eliminated to a certain extent to the interference of appraisement system by being chosen at of convenient condition.
Description
Technical field
The utility model relates to thermal power unit operation control technology, especially relates to a kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value.
Background technology
Thermal power plant's power consumption analysis, as the basic research work of unit running optimization, is optimal power plant operation, energy-saving and cost-reducing basis.Abroad start in the sixties in 20th century, China then just starts to walk at 20 century 70s and is developed rapidly.The accuracy of power consumption analysis theory depends on determining whether accurately of optimization target values.Theoretical research at present about thermal power plant's power consumption analysis mainly concentrates on: the research of optimization target values problem identificatioin, optimization target values is operation instruction science, believable support accurately.
At present, the optimization target values in domestic Consumption Difference Analysing System mainly also adopts non real-time reference value, do not consider the change of environmental parameter and working conditions change larger time unit performance change; And external monitoring and optimization system dynamically can provide the controlling value reducing energy loss in real time to operations staff.Visible, still there is a certain distance in China with optimizing operation technical elements in Fossil-fired Unit Performance monitoring compared with abroad.By investigating domestic five large electricity power enterprises, obtaining China and mainly containing following several for the defining method of power consumption analysis optimization target values at present:
1. the design load that manufacturing plant provides is adopted;
2. the result of unit thermal test is adopted;
3. variable working condition thermodynamic computing result is adopted;
4. the statistical value of historical data is adopted;
5. automatic optimal is determined;
6. data mining technology;
7. full index system.
During fixed pressure operation, for the optimization target values of class parameters such as main steam pressure, main steam temperature and reheat steam temperature, each power plant design load that all manufacturing plant of the side of employing provides is determined; When unit sliding pressure operation, the general optimization target values adopting the method for thermal test or variable working condition thermodynamic computing to obtain main vapour pressure under different load (or main steam flow).Other is as the determination of exhaust gas temperature, flying marking rate, loss of steam and water, steam turbine vacuum, feed temperature, main spray water flux, station service power consumption rate and boiler efficiency parameter, each employing diverse ways, in the power plant of investigation, You Liangjia power plant employing method 1. and 2., method 3. 4. and 5. Ge Youyijia power plant adopt.
Employing method 1., the designing for manufacturing data of unit equipment are the firsthand information about machine unit characteristic that manufacturing plant is supplied to power plant, apply it simple and easy to do as reference value, but the thermodynamic property that the change of the equipment matching problem that unit equipment exists in installation process and operational process conditional causes change is easily left in the basket, therefore applies merely design load and do not conform to reality.
Employing method is 2., better at system cloud gray model initial performances, but along with the prolongation of working time, the state of unit changes, and optimization target values also should change to some extent, but, generating plant often can not carry out a large amount of thermal tests, and optimization target values and unit actual motion state are not met.
3., result of calculation is subject to the impact of variable working condition Thermodynamic calculating model to employing method on the one hand, and on the other hand, the optimization target values calculated is theoretical value, more difficult realization in actual motion, have impact on the directive function to running.
4., on the one hand, statistics is loaded down with trivial details time-consuming for employing method, on the other hand, raw data through checking, just need have credibility, therefore, statistics will be selected through typical data, data verification, boundary condition analysis, finally draw optimization target values, because this process is loaded down with trivial details, the system of adopting in this way does not generally also carry out regular renewal to optimization target values, and optimization target values and set state are not met.
Employing method, 5. because boundary condition is numerous, causes the curve of optimization target values to be difficult to statistics in the short period of time and completes.Therefore, determine that the optimization target values of operating index should consider its accuracy, real-time and feasibility.If the optimization target values drawn is in operation the equipment that do not meet virtual condition or can not reach in actual motion, just can not play good directive function to operation.
7. employing method, proposes to set up the full index system of thermal power plant's power consumption analysis.To reflect that thermal power plant's energy consumption is for cardinal principle comprehensively, objectively, on the basis that qualitative and quantitative is comprehensively analyzed, follow the science and operability principle of setting up index system, avoid the overlap between index, consider data easily getting property, establish the full index system of power consumption analysis, but the index row in the method does not get rid of extraneous uncontrollable environmental baseline to the interference of appraisement system, and the weight coefficient of each index does not consider the impact of unit consumption difference and variation range, the result of calculating is comparatively coarse.
Summary of the invention
The utility model object is for technical matters existing in prior art, provides a kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value.
New consumption difference function account form is chosen and is contacted with actual motion human users the controllable factor that operations staff is controlled more closely and calculate, instead of three grades of in the past selected examination Small Indicators; Dynamic benchmark value changes along with the change of operating condition, and is no longer the unique value determined.
For achieving the above object, the utility model takes following technical scheme:
One, thermal power plant's power consumption analysis device (abbreviation device) of dynamic benchmark value is adopted
This device carries out power plant's service data collection with DCS, SIS system, by MINITAB software, statistics and analysis is carried out to data, be optimized running score on this basis to calculate, and then distributing data, evaluation and operational management are carried out to operations staff, realize the authentic assessment to the operation behavior of operations staff, finally realize the continuous advancement of thermal power plant's running optimizatin.
Preposition collection, the statistics and analysis comprising data of system, collecting part is made up of DCS, SIS system.Carry out adding up on backstage by MINITANB software after data acquisition and analyze.
After the collection of data, statistics and analysis complete, optimizing operation score calculates by the optimizing operation score computing system software simulating on backstage, and distributing data.
Specifically, native system comprises target---fired power generating unit; Be provided with power plant's service data monitor, data statistics processing device, evaluation index counter and data publication device;
Its annexation is: fired power generating unit, power plant's operational monitoring device, data statistics processing device, evaluation index counter is connected successively with data publication device.
Two, using method (abbreviation method)
1. boundary condition is determined;
2. optimum operating condition is determined;
3. optimum operating condition database is set up.
The utility model tool has the following advantages and good effect:
1. new reference value changes along with the change of operating condition, unlike being all the same value determined under different operating conditions in computing method in the past, and not too science;
2. when calculating consumption difference function, what chose is three grades of examination Small Indicators in the past, and what choose here is contact with actual motion human users the controllable factor that operations staff is controlled more closely to calculate;
3. establish the relation between evaluation index and each operations factor, establish Optimum Operation under various operating mode, have directive significance to the operation of operations staff;
4. extraneous uncontrollable environmental baseline is eliminated to a certain extent to the interference of appraisement system by being chosen at of convenient condition.
Accompanying drawing explanation
Fig. 1 is the block diagram of this device, in figure:
100-fired power generating unit;
101-power plant service data monitor;
102-data statistics processing device
103-evaluation index counter,
104-data publication device.
English to Chinese:
1, DCS:Distributed Control System, dcs;
2, SIS:Supervisory Information System in Plant Level, SIS in Thermal Power PlantQ;
Embodiment
Describe in detail below in conjunction with drawings and Examples.
One, device
1, overall
As Fig. 1, the utility model comprises target---fired power generating unit 100; Be provided with power plant's service data monitor 101, data statistics processing device 102, evaluation index counter 103 and data publication device 104;
Its annexation is: fired power generating unit 100, power plant's operational monitoring device 101, data statistics processing device 102, evaluation index counter 103 is connected successively with data publication device 104.
2, functional part
Following function parts are common apparatus.
0) fired power generating unit 100
Fired power generating unit 100 refers to thermal power generation unit.
1) power plant's operational monitoring device 101
Power plant's operational monitoring device 101 is a kind of equipment every service data of thermal power plant being carried out to Real-Time Monitoring and collection.
2) data statistics processing device 102
Data statistics processing device 102 is the equipment that a kind of data to collecting are added up and processed.
3) evaluation index counter 103
Evaluation index counter 103 is a kind of general counters
4) data publication device 104
Data publication device 104 is a kind of displays parameter value and index score value being carried out to data publication.
The working mechanism of this device:
For fired power generating unit 100, gather power plant's service data by power plant's operational monitoring device 101, by data statistics processing device 102 pairs of data statistic analysis, and carry out Calculation Estimation index by evaluation index counter 103, eventually through data publication device 104 distributing data, realize optimizing operation evaluation.
Claims (1)
1. adopt thermal power plant's power consumption analysis device of dynamic benchmark value, comprise fired power generating unit (100);
It is characterized in that:
Be provided with power plant's service data monitor (101), data statistics processing device (102), evaluation index counter (103) and data publication device (104);
Its annexation is: fired power generating unit (100), power plant's operational monitoring device (101), data statistics processing device (102), and evaluation index counter (103) is connected successively with data publication (104);
Described fired power generating unit (100) refers to thermal power generation unit;
Described power plant's operational monitoring device (101) is a kind of equipment every service data of thermal power plant being carried out to Real-Time Monitoring and collection;
Described data statistics processing device (102) is the equipment that a kind of data to collecting are added up and processed;
Described evaluation index counter (103) is a kind of general counter;
Described data publication device (104) is a kind of display parameter value and index score value being carried out to data publication.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201420796963.2U CN204423416U (en) | 2014-12-16 | 2014-12-16 | A kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value |
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| CN201420796963.2U CN204423416U (en) | 2014-12-16 | 2014-12-16 | A kind of thermal power plant's power consumption analysis device adopting dynamic benchmark value |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110298588A (en) * | 2019-06-28 | 2019-10-01 | 重庆回形针信息技术有限公司 | Standard Automatic Optimal system and method based on statistical analysis |
| CN113095591A (en) * | 2021-04-29 | 2021-07-09 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
-
2014
- 2014-12-16 CN CN201420796963.2U patent/CN204423416U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110298588A (en) * | 2019-06-28 | 2019-10-01 | 重庆回形针信息技术有限公司 | Standard Automatic Optimal system and method based on statistical analysis |
| CN113095591A (en) * | 2021-04-29 | 2021-07-09 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
| CN113095591B (en) * | 2021-04-29 | 2023-03-21 | 中国大唐集团科学技术研究院有限公司中南电力试验研究院 | Consumption difference analysis method for self-optimization of operation parameters of thermal power generating unit |
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Effective date of registration: 20160809 Address after: 518052 Guangdong city of Shenzhen province Qianhai Shenzhen Hong Kong cooperation zone before Bay Road No. 1 building 201 room A (located in Shenzhen Qianhai business secretary Co. Ltd.) Patentee after: Shenzhen New Intellectual Property Management Co., Ltd. Address before: 437300 No. 99 Huarun Road, Xianning, Hubei, Chibi Patentee before: CHINA RESOURCES POWER HUBEI CO., LTD. |