CN107676230A - A kind of turbine performance monitoring method - Google Patents
A kind of turbine performance monitoring method Download PDFInfo
- Publication number
- CN107676230A CN107676230A CN201710947520.7A CN201710947520A CN107676230A CN 107676230 A CN107676230 A CN 107676230A CN 201710947520 A CN201710947520 A CN 201710947520A CN 107676230 A CN107676230 A CN 107676230A
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- Prior art keywords
- data
- rmam
- trend
- turbine
- real time
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02C—GAS-TURBINE PLANTS; AIR INTAKES FOR JET-PROPULSION PLANTS; CONTROLLING FUEL SUPPLY IN AIR-BREATHING JET-PROPULSION PLANTS
- F02C9/00—Controlling gas-turbine plants; Controlling fuel supply in air- breathing jet-propulsion plants
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/80—Diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/82—Forecasts
Abstract
The invention discloses a kind of turbine performance monitoring method, the turbine includes control device, and the control device is used to follow power relative to the curved needle of alternator speed to being applied to as the transmission function of the wind speed measured by the wind sensor for being placed in distinguished and admirable disturbed position（TF）Represented wind speed regulation pitch.The present invention can monitor turbine performance and send warning message is operated in optimum state to alert wind turbine, such issues that detection can avoid being remarkably decreased for turbine energy income.
Description
Technical field
The present invention relates to a kind of monitoring method, specifically a kind of turbine performance monitoring method.
Background technology
Wind turbine utilizes wind energy to generate electricity or produce electric power.Multiple wind turbines can be arranged on place to form wind
Electric field.For the ease of effective operation of wind turbine, at least some known monitoring systems are from one or more wind turbines
Machine collects performance data.For example, network operator can look back the performance data of specific wind turbine or wind power plant with the time.However,
Such monitoring system does not provide wind turbine or the performance of wind power plant compares up with other wind turbines or wind power plant
Instruction how.As a result, wind turbine or wind power plant can not for network operator in the performance level operation of the potentiality less than it
It is obvious.
The content of the invention
It is an object of the invention to provide a kind of turbine performance monitoring method, to solve what is proposed in above-mentioned background technology
Problem.
To achieve the above object, the present invention provides following technical scheme：
A kind of turbine performance monitoring method, the turbine include control device, and the control device is used to follow power relative
In alternator speed curved needle to being applied to as the wind speed measured by the wind sensor for being placed in distinguished and admirable disturbed position
Transmission function（TF）Represented wind speed regulation pitch；
The control device includes：Monitoring and analyze data processing module (RMAM) in real time, itself and one or more corresponding combustions
Gas turbine controller and respective sensor and site monitoring system and respective sensor telecommunication, and be configured to receive and
Gas turbine machine controller and respective sensor and the site monitoring system and corresponding pass corresponding to one or more
The real time gas turbine operational situation data of sensor and in real time burning dynamic data；
Frequency spectrum and wavelet analysis (SWA) data handling system, itself and the RMAM telecommunications, and be configured to receive and come from institute
RMAM time domain burning dynamic data and evaluation time domain burning dynamic data is stated, to determine high-amplitude signal characteristic and correspondingly
Collection of illustrative plates and trend, and be further configured to by it is described burning dynamic data be converted into frequency domain data；
Early detection data handling system (EDS), itself and the RMAM telecommunications, and be configured to receive and come from the RMAM
Time domain burning dynamic data and the evaluation burning dynamic data, to determine with the possibility increased in the near future
The short arc collection of illustrative plates and trend of property；
Forecasting tool (PBPT) data handling system based on physics, it (communicates with the RMAM, and is configured to receive and
From the RMAM, (real time gas turbine operational situation data and the evaluation operational situation data and accordingly prediction burning are dynamic
State, and be further configured to the burning dynamic of the prediction and the institute by the SWA data handling systems and EDS generations
State burning dynamic data in real time to compare, so that determine can not be by changing the feature explained and shaking only caused by operational situation
Width；
Historical data and accident analysis database (HDFAD) data handling system；Machine history analysis (MHA) data processing system
System, itself and RMAM, PBPAT and HDFAD telecommunication, wherein, the MHA is configured to store to be generated via the PBPT
Data, and be further configured to：The PBPT data of the storage are evaluated to determine collection of illustrative plates and trend, and will be deposited according to described
The collection of illustrative plates and trend that the PBPT data of storage determine are compared with the historical data being stored in the HDFAD data handling systems
Compared with to generate current combustion device status data, and determining the presence situation of any trend precedent and this existed into situation reception and registration
To the PBPT so that the PBPT works and determines the potential cause of new trend, and is gone through based on what is determined by the MHA
History trend and residual life evaluation data are provided；And self-assessment and improvement (SAIM) data handling system, its with it is described
RMAM telecommunications, wherein, it is described to monitor in real time and the life appraisal in analyze data processing module constantly comparison prediction dynamic
Data and gained trend and real time data and trend and determine difference, the difference is communicated to the SAIM data processings system
System so that the SAIM data handling systems are analyzed the difference and generated is communicated to corresponding combustion gas turbine by the RMAM
The gained burner of monitor and controller health, performance and life appraisal data；
The workflow of monitoring and analyze data processing module (RMAM) in real time is as follows：a）Wind speed dependant variables are provided（V）
With turbine performance variable（P）Between best relation function（F1）；b）Continuously measure the wind speed dependant variables（V）And institute
State turbine performance variable（P）And obtain the relation function between them（F2）；c）Continuously obtain and represent the relation letter
Number（F1、F2）Between difference parameter（D）；d）When the parameter（D）Value produce warning message when being more than predetermined value.
As the further scheme of the present invention：In the step b）In, the relation function（F2）It is the week using 5 minutes
The interim variable（V、P）Average value obtain.
As further scheme of the invention：In the step c）In, the parameter（D）It is to be directed in the variable
（V、P）In a variable value preset range in the relation function（F1、F2）Between difference obtain.
Compared with prior art, the beneficial effects of the invention are as follows：The present invention can monitor turbine performance and send warning
Information is operated in optimum state to alert wind turbine, such issues that detection can avoid turbine energy income
Be remarkably decreased.
Embodiment
The technical scheme in the embodiment of the present invention is clearly and completely described below, it is clear that described embodiment
Only part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, the common skill in this area
The every other embodiment that art personnel are obtained under the premise of creative work is not made, belong to the model that the present invention protects
Enclose.
In the embodiment of the present invention, a kind of turbine performance monitoring method, the turbine includes control device, control dress
Put for following power relative to the curved needle of alternator speed to being applied to the wind-force by being placed in distinguished and admirable disturbed position
The transmission function of wind speed measured by sensor（TF）Represented wind speed regulation pitch；
The control device includes：Monitoring and analyze data processing module (RMAM) in real time, itself and one or more corresponding combustions
Gas turbine controller and respective sensor and site monitoring system and respective sensor telecommunication, and be configured to receive and
Gas turbine machine controller and respective sensor and the site monitoring system and corresponding pass corresponding to one or more
The real time gas turbine operational situation data of sensor and in real time burning dynamic data；
Frequency spectrum and wavelet analysis (SWA) data handling system, itself and the RMAM telecommunications, and be configured to receive and come from institute
RMAM time domain burning dynamic data and evaluation time domain burning dynamic data is stated, to determine high-amplitude signal characteristic and correspondingly
Collection of illustrative plates and trend, and be further configured to by it is described burning dynamic data be converted into frequency domain data；
Early detection data handling system (EDS), itself and the RMAM telecommunications, and be configured to receive and come from the RMAM
Time domain burning dynamic data and the evaluation burning dynamic data, to determine with the possibility increased in the near future
The short arc collection of illustrative plates and trend of property；
Forecasting tool (PBPT) data handling system based on physics, it (communicates with the RMAM, and is configured to receive and
From the RMAM, (real time gas turbine operational situation data and the evaluation operational situation data and accordingly prediction burning are dynamic
State, and be further configured to the burning dynamic of the prediction and the institute by the SWA data handling systems and EDS generations
State burning dynamic data in real time to compare, so that determine can not be by changing the feature explained and shaking only caused by operational situation
Width；
Historical data and accident analysis database (HDFAD) data handling system；Machine history analysis (MHA) data processing system
System, itself and RMAM, PBPAT and HDFAD telecommunication, wherein, the MHA is configured to store to be generated via the PBPT
Data, and be further configured to：The PBPT data of the storage are evaluated to determine collection of illustrative plates and trend, and will be deposited according to described
The collection of illustrative plates and trend that the PBPT data of storage determine are compared with the historical data being stored in the HDFAD data handling systems
Compared with to generate current combustion device status data, and determining the presence situation of any trend precedent and this existed into situation reception and registration
To the PBPT so that the PBPT works and determines the potential cause of new trend, and is gone through based on what is determined by the MHA
History trend and residual life evaluation data are provided；And self-assessment and improvement (SAIM) data handling system, its with it is described
RMAM telecommunications, wherein, it is described to monitor in real time and the life appraisal in analyze data processing module constantly comparison prediction dynamic
Data and gained trend and real time data and trend and determine difference, the difference is communicated to the SAIM data processings system
System so that the SAIM data handling systems are analyzed the difference and generated is communicated to corresponding combustion gas turbine by the RMAM
The gained burner of monitor and controller health, performance and life appraisal data；
The workflow of monitoring and analyze data processing module (RMAM) in real time is as follows：a）Wind speed dependant variables are provided（V）
With turbine performance variable（P）Between best relation function（F1）；b）Continuously measure the wind speed dependant variables（V）And institute
State turbine performance variable（P）And obtain the relation function between them（F2）；c）Continuously obtain and represent the relation letter
Number（F1、F2）Between difference parameter（D）；d）When the parameter（D）Value produce warning message when being more than predetermined value.
In the step b）In, the relation function（F2）It is the variable in the cycle using 5 minutes（V、P）It is flat
What average obtained.
In the step c）In, the parameter（D）It is to be directed in the variable（V、P）In a variable value it is predetermined
In the range of the relation function（F1、F2）Between difference obtain.
It is obvious to a person skilled in the art that the invention is not restricted to the details of above-mentioned one exemplary embodiment, Er Qie
In the case of without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, embodiment all should be regarded as exemplary, and be nonrestrictive, the scope of the present invention is by appended power
Profit requires rather than described above limits, it is intended that all in the implication and scope of the equivalency of claim by falling
Change is included in the present invention.Any reference in claim should not be considered as to the involved claim of limitation.
Moreover, it will be appreciated that although the present specification is described in terms of embodiments, not each embodiment is only wrapped
Containing an independent technical scheme, this narrating mode of specification is only that those skilled in the art should for clarity
Using specification as an entirety, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
It is appreciated that other embodiment.
Claims (3)
1. a kind of turbine performance monitoring method, it is characterised in that the turbine includes control device, and the control device is used for
Follow power relative to the curved needle of alternator speed to being applied to the wind sensor by being placed in distinguished and admirable disturbed position
The transmission function of measured wind speed（TF）Represented wind speed regulation pitch；
The control device includes：Monitoring and analyze data processing module (RMAM) in real time, itself and one or more corresponding combustions
Gas turbine controller and respective sensor and site monitoring system and respective sensor telecommunication, and be configured to receive and
Gas turbine machine controller and respective sensor and the site monitoring system and corresponding pass corresponding to one or more
The real time gas turbine operational situation data of sensor and in real time burning dynamic data；
Frequency spectrum and wavelet analysis (SWA) data handling system, itself and the RMAM telecommunications, and be configured to receive and come from institute
RMAM time domain burning dynamic data and evaluation time domain burning dynamic data is stated, to determine high-amplitude signal characteristic and correspondingly
Collection of illustrative plates and trend, and be further configured to by it is described burning dynamic data be converted into frequency domain data；
Early detection data handling system (EDS), itself and the RMAM telecommunications, and be configured to receive and come from the RMAM
Time domain burning dynamic data and the evaluation burning dynamic data, to determine with the possibility increased in the near future
The short arc collection of illustrative plates and trend of property；
Forecasting tool (PBPT) data handling system based on physics, it (communicates with the RMAM, and is configured to receive and
From the RMAM, (real time gas turbine operational situation data and the evaluation operational situation data and accordingly prediction burning are dynamic
State, and be further configured to the burning dynamic of the prediction and the institute by the SWA data handling systems and EDS generations
State burning dynamic data in real time to compare, so that determine can not be by changing the feature explained and shaking only caused by operational situation
Width；
Historical data and accident analysis database (HDFAD) data handling system；Machine history analysis (MHA) data processing system
System, itself and RMAM, PBPAT and HDFAD telecommunication, wherein, the MHA is configured to store to be generated via the PBPT
Data, and be further configured to：The PBPT data of the storage are evaluated to determine collection of illustrative plates and trend, and will be deposited according to described
The collection of illustrative plates and trend that the PBPT data of storage determine are compared with the historical data being stored in the HDFAD data handling systems
Compared with to generate current combustion device status data, and determining the presence situation of any trend precedent and this existed into situation reception and registration
To the PBPT so that the PBPT works and determines the potential cause of new trend, and is gone through based on what is determined by the MHA
History trend and residual life evaluation data are provided；And self-assessment and improvement (SAIM) data handling system, its with it is described
RMAM telecommunications, wherein, it is described to monitor in real time and the life appraisal in analyze data processing module constantly comparison prediction dynamic
Data and gained trend and real time data and trend and determine difference, the difference is communicated to the SAIM data processings system
System so that the SAIM data handling systems are analyzed the difference and generated is communicated to corresponding combustion gas turbine by the RMAM
The gained burner of monitor and controller health, performance and life appraisal data；
The workflow of monitoring and analyze data processing module (RMAM) in real time is as follows：a）Wind speed dependant variables are provided（V）
With turbine performance variable（P）Between best relation function（F1）；b）Continuously measure the wind speed dependant variables（V）And institute
State turbine performance variable（P）And obtain the relation function between them（F2）；c）Continuously obtain and represent the relation letter
Number（F1、F2）Between difference parameter（D）；d）When the parameter（D）Value produce warning message when being more than predetermined value.
2. turbine performance monitoring method according to claim 1, it is characterised in that in the step b）In, the pass
It is function（F2）It is the variable in the cycle using 5 minutes（V、P）Average value obtain.
3. turbine performance monitoring method according to claim 1, it is characterised in that in the step c）In, the ginseng
Number（D）It is to be directed in the variable（V、P）In a variable value preset range in the relation function（F1、F2）It
Between difference obtain.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710947520.7A CN107676230A (en) | 2017-10-12 | 2017-10-12 | A kind of turbine performance monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710947520.7A CN107676230A (en) | 2017-10-12 | 2017-10-12 | A kind of turbine performance monitoring method |
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| Publication Number | Publication Date |
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| CN107676230A true CN107676230A (en) | 2018-02-09 |
Family
ID=61140463
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710947520.7A Pending CN107676230A (en) | 2017-10-12 | 2017-10-12 | A kind of turbine performance monitoring method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109631972A (en) * | 2017-10-06 | 2019-04-16 | 恩德莱斯和豪瑟尔分析仪表两合公司 | Method for monitoring sensor function |
| CN110005580A (en) * | 2019-05-06 | 2019-07-12 | 保定绿动风电设备科技有限公司 | A kind of running of wind generating set state monitoring method |
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| US20120078518A1 (en) * | 2009-06-05 | 2012-03-29 | Ramakrishnan Krishna | Available power estimator |
| CN102859184A (en) * | 2010-04-13 | 2013-01-02 | 歌美飒创新技术公司 | Methods for monitoring wind turbines |
| CN102998123A (en) * | 2011-06-30 | 2013-03-27 | 通用电气公司 | Combustor health and performance monitoring system for gas turbines using combustion dynamics |
| CN104533714A (en) * | 2014-11-03 | 2015-04-22 | 华北电力大学 | Method for identifying and setting parameters of wind generating set controller |
| EP2770195B1 (en) * | 2013-02-26 | 2016-11-09 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator, and control unit and control method of the same |
-
2017
- 2017-10-12 CN CN201710947520.7A patent/CN107676230A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120078518A1 (en) * | 2009-06-05 | 2012-03-29 | Ramakrishnan Krishna | Available power estimator |
| CN102859184A (en) * | 2010-04-13 | 2013-01-02 | 歌美飒创新技术公司 | Methods for monitoring wind turbines |
| CN102998123A (en) * | 2011-06-30 | 2013-03-27 | 通用电气公司 | Combustor health and performance monitoring system for gas turbines using combustion dynamics |
| EP2770195B1 (en) * | 2013-02-26 | 2016-11-09 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator, and control unit and control method of the same |
| CN104533714A (en) * | 2014-11-03 | 2015-04-22 | 华北电力大学 | Method for identifying and setting parameters of wind generating set controller |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109631972A (en) * | 2017-10-06 | 2019-04-16 | 恩德莱斯和豪瑟尔分析仪表两合公司 | Method for monitoring sensor function |
| CN110005580A (en) * | 2019-05-06 | 2019-07-12 | 保定绿动风电设备科技有限公司 | A kind of running of wind generating set state monitoring method |
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Application publication date: 20180209 |
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