CN106092190B - Pump-storage generator operation stability state deteriorates method for early warning and system - Google Patents
Pump-storage generator operation stability state deteriorates method for early warning and system Download PDFInfo
- Publication number
- CN106092190B CN106092190B CN201610384422.2A CN201610384422A CN106092190B CN 106092190 B CN106092190 B CN 106092190B CN 201610384422 A CN201610384422 A CN 201610384422A CN 106092190 B CN106092190 B CN 106092190B
- Authority
- CN
- China
- Prior art keywords
- stability
- parameter
- value
- limit value
- early
- Prior art date
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 34
- 230000006866 deterioration Effects 0.000 claims abstract description 23
- 230000005856 abnormality Effects 0.000 claims abstract description 12
- 238000012800 visualization Methods 0.000 claims description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 230000001052 transient effect Effects 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 7
- 230000008439 repair process Effects 0.000 claims description 6
- 238000005086 pumping Methods 0.000 claims description 5
- 240000002853 Nelumbo nucifera Species 0.000 claims description 3
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims description 3
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims description 3
- 230000036541 health Effects 0.000 claims description 3
- 244000131316 Panax pseudoginseng Species 0.000 claims description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 2
- 235000008434 ginseng Nutrition 0.000 claims description 2
- 238000003786 synthesis reaction Methods 0.000 claims description 2
- 230000006870 function Effects 0.000 description 14
- 238000010977 unit operation Methods 0.000 description 9
- 230000008859 change Effects 0.000 description 7
- 238000012360 testing method Methods 0.000 description 6
- 238000009825 accumulation Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 4
- 230000015556 catabolic process Effects 0.000 description 4
- 238000006731 degradation reaction Methods 0.000 description 4
- 230000006641 stabilisation Effects 0.000 description 4
- 238000011105 stabilization Methods 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 230000002542 deteriorative effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000013112 stability test Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Control Of Positive-Displacement Pumps (AREA)
Abstract
The invention discloses a kind of pump-storage generator operation stability state deterioration method for early warning and systems, wherein this method comprises: obtaining the monitor value of stability parameter to pump-storage generator progress real-time monitoring of stability;According to the duty parameter of pump-storage generator, the corresponding upper limit value of the stability parameter that retrieval is compared with current working and currently in the numerical value Early-warning Model pre-established and lower limit value;If monitor value is more than or equal to lower limit value and is less than or equal to upper limit value, determine that set steady character state is normal, and the monitor value is stored in normal condition record storehouse;If monitor value is less than lower limit value or is greater than upper limit value, warning information is exported, and the monitor value is stored in abnormality record storehouse.Invention increases duty parameters, provide different alarm limits using the Early-warning Model pre-established for unit difference operating condition, effective early warning under different operating conditions may be implemented, and find set steady problem in time, improve early warning precision.
Description
Technical field
The present invention relates to set steady early warning technology field more particularly to a kind of stable characters of pump-storage generator
State deteriorates method for early warning and system.
Background technique
The operating parameter of reflection Hydropower Unit stability mainly has vibration, throw and pressure fluctuation etc..Due to pumped storage unit
Operating condition is more, start and stop is frequent, and operating condition is complicated, and set steady problem happens occasionally.With pumped storage unit to
High water head, large capacity, high-revolving development, operation stability problem be increasingly valued by people.For pumped storage machine
Group operation stability problem, researcher have carried out part using means such as on-the-spot test or on-line monitorings and have worked.Currently employed
Stability status method for early warning is a kind of simple absolute value comparison method, i.e., obtains vibration, pendulum by on-the-spot test or on-line monitoring
Degree and pressure fluctuation amount, and be compared with country and professional standard, there is certain directive significance to scene operation.But it is this
Simple absolute value comparison method has that precision is not high, limit value is more single, alarming value does not have self-recision function in practical applications
The defects of energy.
Specifically, the method and step alarmed using simple absolute value comparison method Hydropower Unit stability status are as follows:
(1) stability parameter acquires
At the same position of equipment or according to certain value for requiring to measure characterization stabilization of equipment performance state, for example, vibration, pendulum
Degree and pressure fluctuation.
(2) absolute threshold is chosen
It is typically referenced to the national standard issued and implemented by authoritative institution, professional standard, the international standard that employer's organization promulgates
Change international standard and the producer's recommended value etc. that association ISO is promulgated, comprehensive selected vibration, a throw alarming value.For example, GB/T
6075.5 standards have respectively provided tetra- regions A, B, C, D and corresponding vibration mark value, standard rule by four kinds of machine set types
Alarming value is determined no more than 1.25 times of region B upper limit value, and shutdown value cannot exceed 1.25 times of region C upper limit value.
(3) stability status is alarmed
Stability parameter measured value, if measured value is more than alarming value, is alarmed, to evaluate equipment compared with alarming value
State.
The defect of the above method is as follows:
(1) alarming value that country or professional standard provide is a pervasive value, and alarming value is bigger than normal to be not fully applicable in
In each specific unit, only after the stability status of unit deteriorates to a certain extent, can just alarm, without
Can be noted abnormalities problem ahead of time.
(2) all operating conditions of unit are all simply compared using the same alarming value, and actually pumped storage unit runs work
There are many condition, there is steady state load area, sub-load area, the difference also drawn water with power generation, its vibration characteristics difference when different operating conditions
It is larger, therefore estimation of stability is carried out to unit full working scope using single alarming value, accuracy is not high, sometimes can even go out
The alarm of existing mistake.
(3) the unsuitable pumped storage unit of vibration velocity alarming value that existing standard provides.GB/T 6075.5 recommends for volume
Determine the unit that revolving speed is less than or equal to 300rpm, it is proposed that measurement vibration displacement, and it is higher than the unit of 300rpm for rated speed,
It is recommended that measurement vibration velocity.But due to Hydropower Unit, oneself the vibration velocity measured value of accumulation is less, the vibration speed formulated
The boundary value of degree has certain limitation in practical applications.
(4) simple absolute value comparison method, alarming value one, which is set, to be basically unchanged, and is not had according to unit actual motion shape
The variation of state and automatic modified function, such as after its level of vibration declines to a great extent after unit maintenance, also use original alarming value
The deterioration that set steady character state cannot be accurately reflected is horizontal.
Summary of the invention
The present invention provides a kind of pump-storage generator operation stability state deterioration method for early warning and systems, at least to solve
Certainly existing simple absolute value comparison method limit value is more single, finds the problem also not in time, the not high problem of evaluation accuracy.
According to an aspect of the invention, there is provided a kind of pump-storage generator operation stability state deteriorates the pre- police
Method, comprising: real-time monitoring of stability is carried out to pump-storage generator, obtains the monitor value of stability parameter;It is drawn water according to described
The duty parameter of accumulation of energy unit is retrieved and current working and the stability currently compared in the numerical value Early-warning Model pre-established
The corresponding upper limit value of parameter and lower limit value;If the monitor value of the stability parameter currently compared is more than or equal to the lower limit
Value and it is less than or equal to the upper limit value, it is determined that the stability status of the pump-storage generator is normal, and by the current ratio
Pair stability parameter monitor value be stored in normal condition record storehouse;If the monitor value of the stability parameter currently compared
Less than the lower limit value or it is greater than the upper limit value, then exports warning information, and by the stability parameter currently compared
Monitor value is stored in abnormality record storehouse.
In one embodiment, after obtaining the monitor value of stability parameter, the method also includes: it is pre-establishing
Visualization Early-warning Model in show the monitor value of the stability parameter currently compared;If the stabilization currently compared
The monitor value of property parameter is between upper limit curved surface and lower limit curved surface, it is determined that the stability status of the pump-storage generator is just
Often;If the monitor value of the stability parameter currently compared is not between upper limit curved surface and lower limit curved surface, it is determined that described
The stability status of pump-storage generator is abnormal.
In one embodiment, before carrying out real-time monitoring of stability to pump-storage generator, the method also includes:
Data needed for numerical value Early-warning Model is established in acquisition, wherein the data packet includes: duty parameter and stability parameter;The operating condition
Parameter includes: head, load and operating condition mark;The stability parameter includes: vibration, throw or pressure fluctuation;By the number
It is stored according to according to preset format, obtains normal condition record storehouse;According to the head of the pump-storage generator and load
Numberical range, division obtain multiple typical conditions of the pump-storage generator;According to the multiple typical condition to it is described just
Data in normal state recording library are classified, and the corresponding stability parameter data set of each typical condition is respectively obtained;According to
The stability parameter data set calculates the healthy section of each typical condition stability inferior parameter;It is true according to the healthy section
Determine the corresponding lower limit value of each typical condition stability inferior parameter and upper limit value, it is pre- to obtain the corresponding numerical value of the stability parameter
Alert model.
In one embodiment, after obtaining the numerical value Early-warning Model of the stability parameter, the method also includes:
For the same stability parameter under same operating, using load, head and the lower limit value in the numerical value Early-warning Model as seat
Parameter is mapped in three-dimensional system of coordinate, and all coordinate points are connected into a curved surface, and it is corresponding to obtain the stability parameter
Lower limit curved surface;Using load, head and the upper limit value in the numerical value Early-warning Model as reference axis, make in three-dimensional system of coordinate
Figure, and all coordinate points are connected into a curved surface, obtain the corresponding upper limit curved surface of the stability parameter;The lower limit curved surface
Visualization Early-warning Model corresponding with the upper limit curved surface composition stability parameter.
In one embodiment, the preset format is (P, H, F, X), wherein H indicates that head, P indicate that load, F indicate
Operating condition mark, X indicate the peak-to-peak value of stability parameter.
In one embodiment, according to the numberical range of the head of the pump-storage generator and load, division obtains institute
State multiple typical conditions of pump-storage generator, comprising: the difference of all heads is in the first preset range, and the difference of load is second
In preset range, and the identical operating condition of operating condition mark is as same typical condition.
In one embodiment, each typical condition stability inferior parameter is calculated according to the stability parameter data set
Healthy section, comprising: the desired value of the corresponding stability parameter data set of typical condition is calculated according to normal distribution lawWith
Standard deviation S;The healthy section for determining the typical condition stability inferior parameter is
In one embodiment, the corresponding lower limit of each typical condition stability inferior parameter is determined according to the healthy section
Value and upper limit value, obtain the corresponding numerical value Early-warning Model of the stability parameter, comprising: according to healthy sectionDetermine the corresponding lower limit value of typical condition stability inferior parameter be (P, H, F,), synthesis is described more
The lower limit value of a typical condition obtains lower limit value library;According to healthy sectionIt determines and stablizes under typical condition
Property the corresponding upper limit value of parameter be (P, H, F,), the upper limit value of comprehensive the multiple typical condition obtains upper limit value library;
The lower limit value library and the upper limit value library constitute the corresponding numerical value Early-warning Model of the stability parameter.
In one embodiment, the method also includes: the pump-storage generator operation stability deteriorate early warning system
After system operation preset time or after the pump-storage generator repairs, the normal condition record storehouse is read automatically, weight
The healthy section of each typical condition stability inferior parameter is newly sought, Early-warning Model is updated.
According to another aspect of the present invention, a kind of pump-storage generator operation stability state deterioration early warning system is provided
System, comprising: monitoring unit obtains the monitor value of stability parameter for carrying out real-time monitoring of stability to pump-storage generator;
Retrieval unit, for the duty parameter according to the pump-storage generator, in the numerical value Early-warning Model pre-established retrieval with
Current working and the corresponding upper limit value of the stability parameter currently compared and lower limit value;First determination unit, for working as described
In the case that the monitor value of the stability parameter of preceding comparison is more than or equal to the lower limit value and is less than or equal to the upper limit value, determine
The stability status of the pump-storage generator is normal;Prewarning unit, for the prison in the stability parameter currently compared
In the case that measured value is less than the lower limit value or is greater than the upper limit value, warning information is exported;First storage unit is used for institute
State the monitor value deposit normal condition record storehouse or abnormality record storehouse of the stability parameter currently compared.
In one embodiment, the system also includes display units, in the visualization Early-warning Model pre-established
The middle monitor value for showing the stability parameter currently compared;Second determination unit, in the stabilization currently compared
In the case that the monitor value of property parameter is between upper limit curved surface and lower limit curved surface, the stability of the pump-storage generator is determined
State is normal;And the monitor value of the stability parameter currently compared not between upper limit curved surface and lower limit curved surface the case where
Under, determine that the stability status of the pump-storage generator is abnormal.
In one embodiment, the system also includes acquiring units, establish needed for numerical value Early-warning Model for obtaining
Data, wherein the data packet includes: duty parameter and stability parameter;The duty parameter includes: head, load and operating condition mark
Will;The stability parameter includes: vibration, throw or pressure fluctuation;Second storage unit is used for the data according to default
Format is stored, and normal condition record storehouse is obtained;Typical condition division unit, for the water according to the pump-storage generator
The numberical range of head and load, division obtain multiple typical conditions of the pump-storage generator;Data sorting unit, for pressing
Classify according to the multiple typical condition to the data in the normal condition record storehouse, respectively obtains each typical condition pair
The stability parameter data set answered;Computing unit, for being calculated under each typical condition according to the stability parameter data set
The healthy section of stability parameter;First model foundation unit, for being determined under each typical condition according to the healthy section
The corresponding lower limit value of stability parameter and upper limit value obtain the corresponding numerical value Early-warning Model of the stability parameter.
In one embodiment, the system also includes lower limit curved surface structure units, for same steady under same operating
Qualitative parameter is made in three-dimensional system of coordinate using load, head and the lower limit value in the numerical value Early-warning Model as reference axis
Figure, and all coordinate points are connected into a curved surface, obtain the corresponding lower limit curved surface of the stability parameter;Upper limit curved surface structure
Unit is mapped in three-dimensional system of coordinate using load, head and the upper limit value in the numerical value Early-warning Model as reference axis, and
All coordinate points are connected into a curved surface, obtain the corresponding upper limit curved surface of the stability parameter;Second model foundation unit,
The lower limit curved surface and the upper limit curved surface constitute the corresponding visualization Early-warning Model of the stability parameter.
In one embodiment, the preset format is (P, H, F, X), wherein H indicates that head, P indicate that load, F indicate
Operating condition mark, X indicate the peak-to-peak value of stability parameter.
In one embodiment, the typical condition division unit is specifically used for: the difference of all heads is in the first default model
In enclosing, the difference of load is in the second preset range, and the identical operating condition of operating condition mark is as same typical condition.
In one embodiment, the computing unit is specifically used for: it is corresponding to calculate typical condition according to normal distribution law
Stability parameter data set desired value X and standard deviation S;The healthy section for determining the typical condition stability inferior parameter is
In one embodiment, the first model foundation unit is specifically used for: according to healthy sectionReally
Determine the corresponding lower limit value of typical condition stability inferior parameter be (P, H, F,), the lower limit of comprehensive the multiple typical condition
Value, obtains lower limit value library;According to healthy sectionDetermine the corresponding upper limit of typical condition stability inferior parameter
Value for (P, H, F,), the upper limit value of comprehensive the multiple typical condition obtains upper limit value library;The lower limit value library and institute
It states upper limit value library and constitutes the corresponding numerical value Early-warning Model of the stability parameter.
In one embodiment, the system also includes updating units, for stable in the pump-storage generator
Property deterioration early warning system operation preset time after or after the pump-storage generator repairs, read the normal shape automatically
State record storehouse seeks the healthy section of each typical condition stability inferior parameter again, updates Early-warning Model.
Pump-storage generator operation stability state deterioration method for early warning and system through the invention, using pre-establishing
Early-warning Model early warning is carried out to the degradation trend of unit operation stability, increase duty parameter, mentioned for unit difference operating condition
For different alarm limits, also effective early warning can be provided, early to unit transient operating mode to pumped storage unit steady state condition
It was found that the stability problem that unit is implicit, improves early warning precision, effectively avoids the generation of gradually changeable vibration fault, it is pumped storage unit
Safe operation provides technical guarantee.In addition, early warning result be it is normal, then by real time data be stored in normal condition record storehouse;Early warning
As a result to be abnormal, then real time data is stored in abnormality record storehouse, in order to which further fault diagnosis, analysis lookup are former
Cause.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted a limitation of the invention.In the accompanying drawings:
Fig. 1 is the flow chart of the pump-storage generator operation stability state deterioration method for early warning of the embodiment of the present invention;
Fig. 2 is the structural block diagram one of the unit operation stability state deterioration early warning system of the embodiment of the present invention;
Fig. 3 is the structural block diagram two of the unit operation stability state deterioration early warning system of the embodiment of the present invention;
Fig. 4 is the workflow of the pump-storage generator stability status deterioration early warning system of the embodiment of the present invention;
Fig. 5 is the flow chart for establishing Early-warning Model of the embodiment of the present invention.
Specific embodiment
With reference to the attached drawing in the embodiment of the present invention, technical solution in the embodiment of the present invention carries out clear, complete
Ground description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on this
The embodiment of invention, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, belongs to protection scope of the present invention.
The embodiment of the invention provides a kind of pump-storage generator operation stability states to deteriorate method for early warning, and Fig. 1 is this
The flow chart of the pump-storage generator operation stability state deterioration method for early warning of inventive embodiments, as shown in Figure 1, this method packet
Include following steps:
Step S101 carries out real-time monitoring of stability to pump-storage generator, obtains the monitor value of stability parameter.Stablize
Property parameter may include: vibration, throw or pressure fluctuation.This step provides initial data for early warning, obtains to real-time monitoring
Initial data carries out calculating analysis, peak-to-peak value, that is, stability parameter monitor value of available stability real time data.
Step S102, according to the duty parameter of pump-storage generator, in the numerical value Early-warning Model pre-established retrieval with
Current working and the corresponding upper limit value of the stability parameter currently compared and lower limit value.Duty parameter may include: head H, bear
Lotus P and operating condition mark F, wherein F=0 indicates that generating operation mode, F=1 are pumping operation mode, and F=2 is the transient process works such as start and stop
Condition.
Step S103, if the monitor value of the stability parameter currently compared is more than or equal to lower limit value and is less than or equal to the upper limit
Value, it is determined that the stability status of pump-storage generator is normal, and the monitor value is stored in normal condition record storehouse.
Step S104, it is defeated if the monitor value of the stability parameter currently compared is less than lower limit value or is greater than upper limit value
Warning information out, and the monitor value is stored in abnormality record storehouse.
Through the above scheme, it is carried out using degradation trend of the Early-warning Model pre-established to unit operation stability pre-
It is alert, increase duty parameter, provide different alarm limits for unit difference operating condition, can to pumped storage unit steady state condition,
Effective early warning can be provided to unit transient operating mode, find the implicit stability problem of unit early, improve early warning precision, effectively
The generation of gradually changeable vibration fault is avoided, provides technical guarantee for pumped storage unit safety operation.In addition, early warning result be it is normal,
Real time data is then stored in normal condition record storehouse;Early warning result is exception, then real time data is stored in abnormality record storehouse,
In order to which reason is searched in further fault diagnosis, analysis.
In one embodiment, the visualization intuitive exhibit stabilization state of Early-warning Model can also be used whether abnormal, it should
Visualizing Early-warning Model includes upper limit curved surface and lower limit curved surface.Specifically, after obtaining the monitor value of stability parameter, it is above-mentioned
Method can also include: the monitor value that the stability parameter currently compared is shown in the visualization Early-warning Model pre-established;
If the monitor value of the stability parameter currently compared is between upper limit curved surface and lower limit curved surface, it is determined that pump-storage generator
Stability status it is normal;If the monitor value of the stability parameter currently compared not between upper limit curved surface and lower limit curved surface,
Then determine that the stability status of pump-storage generator is abnormal.In the present embodiment, by visualization Early-warning Model and Real-time Monitoring Data
Be shown in the same three-dimensional system of coordinate, using model upper limit curved surface and lower limit curved surface can image to show unit currently steady
Whether qualitative state is abnormal, realizes the visualization of early warning.
Before carrying out early warning to pump-storage generator (i.e. before progress real-time monitoring of stability), need to pre-establish pre-
Alert model, comprising: numerical value Early-warning Model and visualization Early-warning Model.
The step of establishing numerical value Early-warning Model is as follows:
(1) data needed for establishing numerical value Early-warning Model are obtained, wherein data include: duty parameter and stability parameter.
The data source modeled for the first time includes: that its debugging test data can be used for unit of newly going into operation;It, can be with for old unit
Use the test data after overhaul;Or acquisition unit it is in good condition when operation data for a period of time.
(2) data that will acquire are stored according to preset format, obtain normal condition record storehouse.Preset format be (P,
H, F, X), wherein H indicates that head, P indicate that load, F indicate that operating condition mark, X indicate the peak-to-peak value of stability parameter.(pi,hi,
fi,xi) be normal state recording library in any record.
(3) according to the numberical range of the head of pump-storage generator and load, division obtains the multiple of pump-storage generator
Typical condition.
The stability of pumped storage unit and operating condition are closely related, when the head of two operating conditions difference Δ H and load difference Δ P all
When little, the two operating conditions can be treated as identical operating condition.It therefore can be by pumped storage unit operating condition according to head, negative
Lotus is divided into multiple typical conditions, is expressed as (Pi,Hi,F).Specifically, division principle is as follows: the difference of all heads is pre- first
If in range, the difference of load is in the second preset range, and the identical operating condition of operating condition mark is as same typical condition.For example,
All operating conditions of change of water level range delta H=1, load variations range delta P=2MW can be considered as same typical condition.
(4) classify according to multiple typical conditions to the data in normal condition record storehouse, respectively obtain each typical case
The corresponding stability parameter data set of operating condition.
According to the parameter P of typical conditioni,Hi, F classifies to the data in normal condition record storehouse, and principle of classification is such as
Under: in a certain range, and the identical record of F is classified as same class record to the difference Δ P of the difference Δ H of all heads and load.
For example, (P1,H1,F1) it is some typical condition, (pi,hi,fi,xi) be normal state recording library in any note
Record, can will meetAndAnd fi=F1(pi,hi,fi,xi) it is classified as same class record.Wherein
Corresponding typical condition is (P1,H1,F1), such stability parameter data set table be shown as j=0...n | xj, n is in the data set
The data amount check of stability parameter.
(5) the healthy section of each typical condition stability inferior parameter is calculated according to stability parameter data set.
The desired value of the corresponding stability parameter data set of typical condition is calculated according to normal distribution lawAnd standard deviation
Poor S;The healthy section for determining the typical condition stability inferior parameter is
For pumped storage unit typical condition (P1,H1,F1) stability parameter data set j=0...n | xjWith chance error
Difference has apparent Statistical Distribution Characteristics, and Normal Distribution rule then has according to probability statistics theory:
WhereinFor desired value i.e. average value, S1For standard deviation.
For observation xjFall in sectionProbability be 99.73%.Such as some observation deviation
It falls in except this section, then it is assumed that this observation exceeds normal range (NR), as exceptional value.
Therefore, pumped storage unit typical condition (P1,H1,F1) stability parameter data set j=0...n | xjHealthy area
Between beIt similarly, can be in the hope of the healthy section of the stability parameter data set under other typical conditions.
(6) the corresponding lower limit value of each typical condition stability inferior parameter and upper limit value are determined according to healthy section, obtained
The corresponding numerical value Early-warning Model of stability parameter.
Specifically, according to healthy sectionDetermine the corresponding lower limit value of typical condition stability inferior parameter
For (P, H, F,), the lower limit value of comprehensive multiple typical conditions obtains lower limit value library;According to healthy sectionDetermine the corresponding upper limit value of typical condition stability inferior parameter be (P, H, F,), comprehensive multiple allusion quotations
The upper limit value of type operating condition obtains upper limit value library;Lower limit value library and upper limit value library constitute the corresponding numerical value early warning mould of stability parameter
Type.
For example, a certain typical condition (P of pump-storage generator1,H1,F1) the healthy section of stability inferior parameter isThat is the lower limit of the typical condition is recorded as (P1,H1,F1,);The upper limit is recorded as (P1,H1,
F1,).The upper limit record and lower limit record that other typical conditions can similarly be found out, to obtain the upper of typical condition
Record storehouse and lower limit record storehouse are limited, the numerical value Early-warning Model of set steady character state deterioration early warning is established.
The step of establishing visualization Early-warning Model is as follows:
(1) after obtaining the numerical value Early-warning Model of stability parameter, for the same stability parameter under same operating,
It using load, head and the lower limit value in numerical value Early-warning Model as reference axis, maps in three-dimensional system of coordinate, and by all coordinates
Point connects into a curved surface, obtains the corresponding lower limit curved surface of stability parameter.For example, using load as X-axis, head as Y-axis,
Lower limit value is as Z axis.
(2) it using load, head and the upper limit value in numerical value Early-warning Model as reference axis, maps in three-dimensional system of coordinate,
And all coordinate points are connected into a curved surface, obtain the corresponding upper limit curved surface of stability parameter.
(3) lower limit curved surface and upper limit curved surface constitute the corresponding visualization Early-warning Model of stability parameter.
Existing alarming value cannot be corrected with the change of set state.For this purpose, in one embodiment, Early-warning Model
It is also equipped with self-learning function.Pump-storage generator operation stability deterioration early warning system operation preset time after or the storage that draws water
After energy unit repairs, i.e., operating states of the units can change, and cannot also accurately reflect machine using original upper lower limit value
The deterioration of group stability status is horizontal.In order to enable Early-warning Model can more accurately reflect unit actual conditions, can take manually
Or periodically starting Early-warning Model self-learning function, automatic reading normal condition record storehouse are sought steady under each typical condition again
The healthy section of qualitative parameter updates Early-warning Model.In the present embodiment, learnt by oneself using the Historical Monitoring data that system accumulates
It practises, sophisticated model early warning condition range, constantly corrects the healthy section of stability parameter, Early-warning Model is enabled to reflect recent machine
The state change of group, guarantees the comprehensive and accuracy of Early-warning Model, improves the early warning precision of model.
Based on the same inventive concept, the embodiment of the invention also provides a kind of pump-storage generator operation stability state is bad
Change early warning system, can be used to implement method described in above-described embodiment.The principle solved the problems, such as due to the system with it is above-mentioned
Method is similar, therefore the implementation of the system may refer to the implementation of the above method, and overlaps will not be repeated.It is following to be used
, the combination of the software and/or hardware of predetermined function may be implemented in term " unit ".Although system described in following embodiment
It is preferably realized with software, but the realization of the combination of hardware or software and hardware is also that may and be contemplated.
Fig. 2 is the structural block diagram of the pump-storage generator operation stability state deterioration early warning system of the embodiment of the present invention,
As shown in Fig. 2, the system includes: that monitoring unit 21, retrieval unit 22, the first determination unit 23, prewarning unit 24 and first are deposited
Storage unit 25 is below specifically described the structure.
Monitoring unit 21 obtains the monitoring of stability parameter for carrying out real-time monitoring of stability to pump-storage generator
Value;
Retrieval unit 22, for the duty parameter according to pump-storage generator, in the numerical value Early-warning Model pre-established
Retrieve the corresponding upper limit value of the stability parameter with current working and currently compared and lower limit value;
First determination unit 23 is more than or equal to lower limit value for the monitor value in the stability parameter currently compared and is less than
In the case where equal to upper limit value, determine that the stability status of pump-storage generator is normal;
Prewarning unit 24 is less than lower limit value for the monitor value in the stability parameter currently compared or greater than upper limit value
In the case of, export warning information;
First storage unit 25, for by the monitor value of the stability parameter currently compared be stored in normal condition record storehouse or
Abnormality record storehouse.
Through the above scheme, it is carried out using degradation trend of the Early-warning Model pre-established to unit operation stability pre-
It is alert, increase duty parameter, provide different alarm limits for unit difference operating condition, can to pumped storage unit steady state condition,
Effective early warning can be provided to unit transient operating mode, find the implicit stability problem of unit early, improve early warning precision, effectively
The generation of gradually changeable vibration fault is avoided, provides technical guarantee for pumped storage unit safety operation.In addition, early warning result be it is normal,
Real time data is then stored in normal condition record storehouse;Early warning result is exception, then real time data is stored in abnormality record storehouse,
In order to which reason is searched in further fault diagnosis, analysis.
As shown in figure 3, above system can also include: display unit 26, in the visualization early warning mould pre-established
The monitor value of the stability parameter currently compared is shown in type;Second determination unit 27, in the stability ginseng currently compared
In the case that several monitor values is between upper limit curved surface and lower limit curved surface, the stability status of pump-storage generator is being determined just
Often;And the monitor value of the stability parameter currently compared not between upper limit curved surface and lower limit curved surface in the case where, determine take out
The stability status of water accumulation of energy unit is abnormal.
Above system can also include: acquiring unit, for obtain establish numerical value Early-warning Model needed for data, wherein counting
According to including: duty parameter and stability parameter;Duty parameter includes: head, load and operating condition mark;Stability parameter includes:
Vibration, throw or pressure fluctuation;Second storage unit obtains normal condition for storing data according to preset format
Record storehouse;Typical condition division unit, for according to the head of pump-storage generator and the numberical range of load, division to be taken out
Multiple typical conditions of water accumulation of energy unit;Data sorting unit is used for according to multiple typical conditions in normal condition record storehouse
Data classify, respectively obtain the corresponding stability parameter data set of each typical condition;Computing unit, for according to steady
Qualitative parameter data set calculates the healthy section of each typical condition stability inferior parameter;First model foundation unit is used for root
The corresponding lower limit value of each typical condition stability inferior parameter and upper limit value are determined according to healthy section, and it is corresponding to obtain stability parameter
Numerical value Early-warning Model.Numerical value Early-warning Model has just been pre-established as a result,.
Above system can also include: lower limit curved surface structure unit, for the same stability parameter under same operating, with
Load, head and lower limit value in numerical value Early-warning Model are mapped in three-dimensional system of coordinate as reference axis, and by all coordinate points
A curved surface is connected into, the corresponding lower limit curved surface of stability parameter is obtained;Upper limit curved surface structure unit, in numerical value Early-warning Model
Load, head and upper limit value map in three-dimensional system of coordinate as reference axis, and all coordinate points are connected into a song
Face obtains the corresponding upper limit curved surface of stability parameter;Second model foundation unit, lower limit curved surface and upper limit curved surface constitute stability
The corresponding visualization Early-warning Model of parameter.Visualization Early-warning Model has just been pre-established as a result,.
Above-mentioned preset format is (P, H, F, X), wherein H indicates that head, P indicate that load, F indicate that operating condition mark, X indicate
The peak-to-peak value of stability parameter.
Typical condition division unit is specifically used for: the difference of all heads is in the first preset range, and the difference of load is second
In preset range, and the identical operating condition of operating condition mark is as same typical condition.
Computing unit is specifically used for: calculating the corresponding stability parameter data set of typical condition according to normal distribution law
Desired valueAnd standard deviation S;The healthy section for determining the typical condition stability inferior parameter is
First model foundation unit is specifically used for: according to healthy sectionIt determines and stablizes under typical condition
Property the corresponding lower limit value of parameter be (P, H, F,), the lower limit value of comprehensive multiple typical conditions obtains lower limit value library;According to
Healthy sectionDetermine the corresponding upper limit value of typical condition stability inferior parameter be (P, H, F,), it is comprehensive
The upper limit value for closing multiple typical conditions obtains upper limit value library;Lower limit value library and upper limit value library constitute the corresponding number of stability parameter
It is worth Early-warning Model.
Above system can also include: updating unit, for deteriorating early warning system in pump-storage generator operation stability
It is automatic to read normal condition record storehouse after operation preset time or after pump-storage generator repairs, it seeks again each
The healthy section of typical condition stability inferior parameter updates Early-warning Model.Thus Early-warning Model can reflect the state of recent unit
Variation, guarantees the comprehensive and accuracy of Early-warning Model.
Certainly, above-mentioned module divides a kind of only signal and divides, and the present invention is not limited thereto.The device can also be wrapped only
Include: monitoring unit, prewarning unit and storage unit, monitoring unit execute relevant to monitoring function, and prewarning unit executes and in advance
Alert relevant function, storage unit execute function relevant to storage, as long as the module for being able to achieve the purpose of the present invention divides,
It should belong to protection scope of the present invention.
It includes: monitoring and early warning two parts that pumped storage unit operation stability, which deteriorates early warning system,.Monitoring is main to be completed to stablize
The real-time acquisition of property monitoring parameters;Early warning include: normal condition record storehouse, abnormality record storehouse, numerical value Early-warning Model and
Early-warning Model is visualized, has the function of the processing of stability data and expression, stability status early warning, Model Self-Learning etc..
Fig. 4 is the workflow of the pump-storage generator stability status deterioration early warning system of the embodiment of the present invention, such as Fig. 4
It is shown, STABILITY MONITORING is carried out to unit, duty parameter and stability parameter is obtained, and handled, obtains preset format
In real time record (P, H, F, X), according in numerical value Early-warning Model upper limit library and lower limit library (or visualization Early-warning Model the upper limit
Curved surface and lower limit curved surface), judge whether record normal in real time? if it is, the real-time record is stored in normal condition record storehouse;
Otherwise early warning is exported, and the real-time record is stored in abnormality record storehouse.
Fig. 5 is the flow chart for establishing Early-warning Model of the embodiment of the present invention, as shown in figure 5, under acquisition unit health status
Test data, according to preset format (P, H, F, X) store, formed normal condition record storehouse, according in normal condition record storehouse
Data computational stability parameter healthy section, upper limit library, lower limit library, upper limit curved surface and lower limit are obtained according to the health section
Curved surface, to obtain numerical value Early-warning Model and visualization Early-warning Model.
It is apparent in order to be carried out to above-mentioned pump-storage generator operation stability state deterioration method for early warning and system
It explains, is illustrated below with reference to specific embodiment, however, it should be noted that the embodiment is merely to preferably say
The bright present invention is not constituted and is improperly limited the present invention.
Early-warning Model of the invention is suitable for the various works such as pumped storage unit generation operating condition, pumping operation mode and transient operating mode
Condition introduces pumped storage set steady character state as example using certain pumped storage unit A generating operation mode below and deteriorates method for early warning and system.
Unit parameter is as shown in table 1.
1 unit parameter table of table
Maximum gross head/lift (m) | 220 |
Rated head (m) | 190 |
Minimum gross head/lift (m) | 185 |
Installed capacity (MW) | 250 |
Hydraulic turbine nominal output (MW) | 254 |
Water is pumped into power (MW) | 260 |
(1) the STABILITY MONITORING parameter of pumped storage unit A is selected
Early warning is carried out in order to deteriorate to pumped storage unit operation stability, needs to be monitored stability parameter, this implementation
The parameter of example monitoring is as shown in table 2.
2 pump-storage generator operation stability of table deteriorates early warning and monitoring parameter list
(2) expression of pumped storage unit A STABILITY MONITORING parameter
Pumped storage unit duty parameter includes: head H, load P and operating condition mark F, is expressed as (P, H, F), wherein F=0 table
Show that generating operation mode, F=1 are pumping operation mode, F=2 is the transient process operating conditions such as start and stop.The stability and unit work of pumped storage unit
Condition parameter is closely related, and complete set steady monitoring quantity is expressed as (P, H, F, X), and wherein H is head, and P is load, and F is
Operating condition mark, X be stability parameter such as vibrate, throw and pressure fluctuation.For example, record (250,200,0,200) indicates
The measured value of stability parameter X is 200 when head is 200m, generation load is 250MW.
Below for leading X throw on A unit, the method for building up and pendulum that X throw Early-warning Model is led on generating operation mode are illustrated
The realization process of degree deterioration early warning.
(3) data that unit models for the first time
The progress generating operation mode stability test (after such as Start-up and Adjustment or overhaul) in unit A health status, and according to (P,
H, F, X) mode stores test data, obtain unit normal recordings library (Pi,Hi,0,xij), wherein 185≤H as shown in Table 1i≤
220,0≤Pi≤ 260, xijIt indicates to lead X throw value in i-th group of record on j-th.
(4) the typical generating operation mode of unit A is determined
The operating head polishing range of A unit is 185m to 220m, and active (load) range is 0MW to 260MW.Due to pumped storage machine
When the head and little load variations of group, set steady characteristic is substantially similar, can be by change of water level range delta H=1, load
All operating points of variation range delta P=2MW are considered as identical operating condition.Therefore, head can be represented in (H- with operating condition (P, H, 0)
0.5) in≤H < (H+0.5) range and active in all operating points of (P-1)≤P < (P+1) range.
Therefore, A unit generation operating condition can be subdivided into following multiple typical conditions:
(1,185.5,0), (3,185.5,0) ..., (259,185.5,0)
(1,186.5,0), (3,186.5,0) ..., (259,186.5,0)
(1,219.5,0), (3,219.5,0) ..., (259,219.5,0)
Wherein (1,185.5,0) represents all heads as the power generation within the scope of 185.5 ± 0.5m, within the scope of 1 ± 1MW of load
Operating condition.
(5) the healthy section of typical condition stability parameter is calculated
The healthy section of all typical conditions in (4) step is sought, is with operating condition (249,185.5,0) i.e. head below
185.5 ± 0.5m, 249 ± 1MW of load operating condition for illustrate, other operating conditions are similar.
1) the normal recordings library (P obtained in (3) stepi,Hi,0,xij) in filter out 248≤P of operating conditioni< 250,185≤
Hi< 186 it is all on lead X throw record, extract record in xij, obtain typical condition (249,185.5,0) it is corresponding on lead X
Throw data acquisition system k=0...n | xk}。
2) the healthy section of typical condition (249,185.5,0) is sought:
For k=0...n | xkThen have:
WhereinFor desired value i.e. average value, S is standard deviation.
For above lead X throw data set k=0...n | xk, normal interval isThat is pumped storage unit
On lead healthy section of the X throw under typical condition (249,185.5,0) and be
The lower limit for leading X throw on typical condition (249,185.5,0) be expressed as (249,185.5,0,);
The upper limit for leading X throw on typical condition (249,185.5,0) be expressed as (249,185.5,0,)。
It repeats above-mentioned other typical conditions (P to can be obtained 1) and 2)i,Hi, 0) on lead X throw lower and upper limit, be denoted as
(Pi,Hi,0,) and (Pi,Hi,0,)。
(6) the numerical value Early-warning Model of pumped storage set steady character state is established
All (Pi,Hi,0,) all it is stored in the early warning lower limit library for leading X throw;All (Pi,Hi,0,
) the early warning upper limit library of X throw is led in deposit, to establish the numerical value Early-warning Model for leading X throw on pumped storage unit.
(7) the visualization Early-warning Model of pumped storage set steady character state is established
With (Pi,Hi,0,) in PiFor X-axis, HiFor Y-axis,Made in three-dimensional system of coordinate for Z axis
Figure, and all coordinate points are linked to be a curved surface, the lower limit curved surface of X throw is led in formation;Upper limit curved surface similarly can be obtained, thus
Establish the visualization Early-warning Model that X throw is led on pumped storage unit.
(8) application of pumped storage set steady character state deterioration early warning
1) numerical value modes of warning.Real-time monitor a certain value (p, h, 0, x) for leading X throw, can according to duty parameter p,
H, 0 finds the corresponding upper limit (P in numerical value Early-warning Modeli,Hi,0,) and lower limit (Pi,Hi,0,), ifIt is normal that X throw state is then led in judgement, otherwise issues warning information.
2) modes of warning is visualized.For leading a certain value (p, h, 0, x) of X throw on real-time monitoring, p be X axis coordinate,
H is Y axis coordinate, x is the position that X throw real value is led on Z axis coordinate is available in visualization Early-warning Model, passes through model
Middle upper limit curved surface and lower limit curved surface can intuitively reflect very much leads X throw value whether in normal range (NR), so that realizing can
Depending on changing early warning.
3) early warning is handled.IfOrRecord (p, h, 0, x) is then stored in exception record library;IfIt then indicates that set state is normal, while record (p, h, 0, x) is stored in normal recordings library.
(9) self study of Early-warning Model with it is perfect
After unit operation stability deteriorates early warning system operation regular hour (a such as season), as needed, system
It is automatic to execute (5) to (7) step, the stability parameter health section of unit is sought using updated normal recordings library, and build
Vertical numerical value Early-warning Model and visualization Early-warning Model.To gradual perfection model pre-warning condition range;And in master mould
The early warning value of some operating conditions is modified, the self study of final implementation model with it is perfect so that Early-warning Model comprehensively, accurately reflect
Set steady character state improves the precision of early warning result.
In conclusion the present invention provides a kind of pump-storage generator operation stability state deterioration method for early warning and being
System establishes the stability degradation Early-warning Model for being suitble to pumped storage unit difference operating condition, provides different alarms for unit difference operating condition
Value, while the model has self-learning function, can automatically update Early-warning Model with the variation of unit operation stability state,
Realize the accurate early warning of the various operating condition stability inferior state deteriorations of unit.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the present invention includes other realization, wherein can not press shown or discussed suitable
Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be of the invention
Embodiment person of ordinary skill in the field understood.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Particular embodiments described above has carried out further in detail the purpose of the present invention, technical scheme and beneficial effects
Describe in detail it is bright, it should be understood that the above is only a specific embodiment of the present invention, the guarantor being not intended to limit the present invention
Range is protected, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should be included in this
Within the protection scope of invention.
Claims (14)
1. a kind of pump-storage generator operation stability state deteriorates method for early warning characterized by comprising
Real-time monitoring of stability is carried out to pump-storage generator, obtains the monitor value of stability parameter;
According to the duty parameter of the pump-storage generator, in the numerical value Early-warning Model pre-established retrieval and current working and
The corresponding upper limit value of the stability parameter currently compared and lower limit value;
If the monitor value of the stability parameter currently compared is more than or equal to the lower limit value and is less than or equal to the upper limit
Value, it is determined that the stability status of the pump-storage generator is normal, and by the monitoring of the stability parameter currently compared
Value deposit normal condition record storehouse;
If the monitor value of the stability parameter currently compared is less than the lower limit value or is greater than the upper limit value, export
Warning information, and the monitor value of the stability parameter currently compared is stored in abnormality record storehouse;
Before carrying out real-time monitoring of stability to pump-storage generator, the method also includes:
Data needed for numerical value Early-warning Model is established in acquisition, wherein the data packet includes: duty parameter and stability parameter;It is described
Duty parameter includes: head, load and operating condition mark;The stability parameter includes: vibration, throw or pressure fluctuation;
The data are stored according to preset format, obtain normal condition record storehouse;
According to the numberical range of the head of the pump-storage generator and load, division obtains the multiple of the pump-storage generator
Typical condition;
Classify according to the multiple typical condition to the data in the normal condition record storehouse, respectively obtains each typical case
The corresponding stability parameter data set of operating condition;
The healthy section of each typical condition stability inferior parameter is calculated according to the stability parameter data set;
The corresponding lower limit value of each typical condition stability inferior parameter and upper limit value are determined according to the healthy section, are obtained described
The corresponding numerical value Early-warning Model of stability parameter;
According to the numberical range of the head of the pump-storage generator and load, division obtains the multiple of the pump-storage generator
Typical condition, comprising:
The difference of all heads is in the first preset range, and the difference of load is in the second preset range, and the identical work of operating condition mark
Condition is as same typical condition;
The operating condition mark includes 0,1 and 2, wherein 0 indicates generating operation mode, and 1 indicates pumping operation mode, and 2 indicate to include start and stop
Transient process operating condition.
2. the method according to claim 1, wherein after obtaining the monitor value of stability parameter, the side
Method further include:
The monitor value of the stability parameter currently compared is shown in the visualization Early-warning Model pre-established;
If the monitor value of the stability parameter currently compared is between upper limit curved surface and lower limit curved surface, it is determined that described
The stability status of pump-storage generator is normal;
If the monitor value of the stability parameter currently compared is not between upper limit curved surface and lower limit curved surface, it is determined that described
The stability status of pump-storage generator is abnormal.
3. the method according to claim 1, wherein the numerical value Early-warning Model for obtaining the stability parameter it
Afterwards, the method also includes:
For the same stability parameter under same operating, made with load, head and the lower limit value in the numerical value Early-warning Model
It for reference axis, maps in three-dimensional system of coordinate, and all coordinate points is connected into a curved surface, obtain the stability parameter pair
The lower limit curved surface answered;
It using load, head and the upper limit value in the numerical value Early-warning Model as reference axis, maps in three-dimensional system of coordinate, and will
All coordinate points connect into a curved surface, obtain the corresponding upper limit curved surface of the stability parameter;
The lower limit curved surface and the upper limit curved surface constitute the corresponding visualization Early-warning Model of the stability parameter.
4. the method according to claim 1, wherein the preset format is (P, H, F, X), wherein H indicates water
Head, P indicate that load, F indicate that operating condition mark, X indicate the peak-to-peak value of stability parameter.
5. the method according to claim 1, wherein calculating each typical case according to the stability parameter data set
The healthy section of operating condition stability inferior parameter, comprising:
The desired value of the corresponding stability parameter data set of typical condition is calculated according to normal distribution lawAnd standard deviation S;
The healthy section for determining the typical condition stability inferior parameter is
6. according to the method described in claim 5, it is characterized in that, being determined according to the healthy section steady under each typical condition
The corresponding lower limit value of qualitative parameter and upper limit value obtain the corresponding numerical value Early-warning Model of the stability parameter, comprising:
According to healthy sectionDetermine that the corresponding lower limit value of typical condition stability inferior parameter isThe lower limit value of comprehensive the multiple typical condition, obtains lower limit value library;
According to healthy sectionDetermine that the corresponding upper limit value of typical condition stability inferior parameter isThe upper limit value of comprehensive the multiple typical condition, obtains upper limit value library;
The lower limit value library and the upper limit value library constitute the corresponding numerical value Early-warning Model of the stability parameter.
7. method according to any one of claim 1 to 6, which is characterized in that the method also includes:
The pump-storage generator operation stability deterioration early warning system operation preset time after or the water-storage machine
After group repairs, the normal condition record storehouse is read automatically, seeks the strong of each typical condition stability inferior parameter again
Health section updates Early-warning Model.
8. a kind of pump-storage generator operation stability state deteriorates early warning system characterized by comprising
Monitoring unit obtains the monitor value of stability parameter for carrying out real-time monitoring of stability to pump-storage generator;
Retrieval unit is examined in the numerical value Early-warning Model pre-established for the duty parameter according to the pump-storage generator
The corresponding upper limit value of the stability parameter that rope is compared with current working and currently and lower limit value;
First determination unit is more than or equal to the lower limit value and small for the monitor value in the stability parameter currently compared
In the case where being equal to the upper limit value, determine that the stability status of the pump-storage generator is normal;
Prewarning unit is less than the lower limit value for the monitor value in the stability parameter currently compared or is greater than described
In the case where limit value, warning information is exported;
First storage unit, for the monitor value of the stability parameter currently compared to be stored in normal condition record storehouse or different
Normal state recording library;
The system also includes:
Acquiring unit, for obtain establish numerical value Early-warning Model needed for data, wherein the data packet includes: duty parameter and steady
Qualitative parameter;The duty parameter includes: head, load and operating condition mark;The stability parameter include: vibration, throw or
Pressure fluctuation;
Second storage unit obtains normal condition record storehouse for storing the data according to preset format;
Typical condition division unit, for according to the head of the pump-storage generator and the numberical range of load, division to be obtained
Multiple typical conditions of the pump-storage generator;
Data sorting unit, for dividing according to the multiple typical condition the data in the normal condition record storehouse
Class respectively obtains the corresponding stability parameter data set of each typical condition;
Computing unit, for calculating the healthy area of each typical condition stability inferior parameter according to the stability parameter data set
Between;
First model foundation unit, under determining that each typical condition stability inferior parameter is corresponding according to the healthy section
Limit value and upper limit value obtain the corresponding numerical value Early-warning Model of the stability parameter;
The typical condition division unit is specifically used for: the difference of all heads is in the first preset range, and the difference of load is second
In preset range, and the identical operating condition of operating condition mark is as same typical condition;
The operating condition mark includes 0,1 and 2, wherein 0 indicates generating operation mode, and 1 indicates pumping operation mode, and 2 indicate to include start and stop
Transient process operating condition.
9. system according to claim 8, which is characterized in that the system also includes:
Display unit, for showing the prison of the stability parameter currently compared in the visualization Early-warning Model pre-established
Measured value;
Second determination unit is in upper limit curved surface and lower limit curved surface for the monitor value in the stability parameter currently compared
Between in the case where, determine that the stability status of the pump-storage generator is normal;And the stability ginseng currently compared
In the case that several monitor values is not between upper limit curved surface and lower limit curved surface, the stability status of the pump-storage generator is determined
It is abnormal.
10. system according to claim 8, which is characterized in that the system also includes:
Lower limit curved surface structure unit, for the same stability parameter under same operating, with negative in the numerical value Early-warning Model
Lotus, head and lower limit value are mapped in three-dimensional system of coordinate as reference axis, and all coordinate points are connected into a curved surface, are obtained
To the corresponding lower limit curved surface of the stability parameter;
Upper limit curved surface structure unit, using load, head and the upper limit value in the numerical value Early-warning Model as reference axis, in three-dimensional
It maps in coordinate system, and all coordinate points is connected into a curved surface, obtain the corresponding upper limit curved surface of the stability parameter;
Second model foundation unit, the lower limit curved surface and the upper limit curved surface constitute the corresponding visualization of the stability parameter
Early-warning Model.
11. system according to claim 8, which is characterized in that the preset format is (P, H, F, X), wherein H is indicated
Head, P indicate that load, F indicate that operating condition mark, X indicate the peak-to-peak value of stability parameter.
12. system according to claim 8, which is characterized in that the computing unit is specifically used for: advising according to normal distribution
Rule calculates the desired value of the corresponding stability parameter data set of typical conditionAnd standard deviation S;It determines steady under the typical condition
The healthy section of qualitative parameter is
13. system according to claim 12, which is characterized in that the first model foundation unit is specifically used for:
According to healthy sectionDetermine that the corresponding lower limit value of typical condition stability inferior parameter isThe lower limit value of comprehensive the multiple typical condition, obtains lower limit value library;According to healthy sectionDetermine that the corresponding upper limit value of typical condition stability inferior parameter isSynthesis is described more
The upper limit value of a typical condition obtains upper limit value library;The lower limit value library and the upper limit value library constitute the stability parameter
Corresponding numerical value Early-warning Model.
14. the system according to any one of claim 8 to 13, which is characterized in that the system also includes:
Updating unit, for the pump-storage generator operation stability deterioration early warning system operation preset time after or institute
It states after pump-storage generator repairs, reads the normal condition record storehouse automatically, seek again steady under each typical condition
The healthy section of qualitative parameter updates Early-warning Model.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610384422.2A CN106092190B (en) | 2016-06-02 | 2016-06-02 | Pump-storage generator operation stability state deteriorates method for early warning and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610384422.2A CN106092190B (en) | 2016-06-02 | 2016-06-02 | Pump-storage generator operation stability state deteriorates method for early warning and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106092190A CN106092190A (en) | 2016-11-09 |
CN106092190B true CN106092190B (en) | 2019-03-29 |
Family
ID=57447092
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610384422.2A Active CN106092190B (en) | 2016-06-02 | 2016-06-02 | Pump-storage generator operation stability state deteriorates method for early warning and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106092190B (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107165770B (en) * | 2017-05-22 | 2020-01-07 | 武汉大学 | Pumped storage power station unit starting transient monitoring and safety evaluation system and method |
CN107633661B (en) * | 2017-08-28 | 2019-06-25 | 国家电网公司 | Pump-storage generator runout alarm method and device |
CN107588937B (en) * | 2017-09-06 | 2019-11-05 | 成都大汇物联科技有限公司 | A kind of hydro-generating Unit equipment health analysis method |
CN107989742A (en) * | 2017-11-09 | 2018-05-04 | 国网新源控股有限公司 | Pump-storage generator operating parameter safe threshold adjusting system and method |
CN107910086A (en) * | 2017-11-23 | 2018-04-13 | 中广核工程有限公司 | One kind is based on nuclear plant safety abnormal parameters condition adjudgement system and method |
CN108089078A (en) * | 2017-12-07 | 2018-05-29 | 北京能源集团有限责任公司 | Equipment deteriorates method for early warning and system |
CN108664696B (en) * | 2018-04-02 | 2023-04-07 | 国家计算机网络与信息安全管理中心 | Method and device for evaluating running state of water chiller |
CN108509645B (en) * | 2018-04-13 | 2020-03-24 | 华润电力风能(威海)有限公司 | Equipment early warning method |
CN108915938B (en) * | 2018-07-09 | 2020-12-11 | 中国水利水电科学研究院 | Power station operation method for reducing vibration of pumped storage power station set and factory building |
CN109032098B (en) * | 2018-08-28 | 2021-04-09 | 云南电网有限责任公司电力科学研究院 | Method for analyzing full-working-condition single-parameter degradation trend of hydroelectric generating set |
CN109670400B (en) * | 2018-11-13 | 2021-10-22 | 国网浙江省电力有限公司紧水滩水力发电厂 | Method for evaluating stability state of hydroelectric generating set in starting process |
CN110007652B (en) * | 2019-03-22 | 2020-12-29 | 华中科技大学 | Hydroelectric generating set degradation trend interval prediction method and system |
CN110349046A (en) * | 2019-05-29 | 2019-10-18 | 浙江陀曼云计算有限公司 | Produce method for early warning and device |
CN110440138B (en) * | 2019-06-27 | 2021-02-02 | 国家电网有限公司 | Exhaust detection method and device for pressure measurement pipeline |
CN110850288A (en) * | 2019-11-12 | 2020-02-28 | 河南国网宝泉抽水蓄能有限公司 | Fault recording fixed value setting method for pumped storage unit |
CN111522858B (en) * | 2020-03-16 | 2022-11-18 | 国家电网有限公司 | Multi-dimensional state vector-based pumping unit performance degradation early warning method |
CN112345254B (en) * | 2020-10-20 | 2022-05-03 | 国家电网有限公司 | Method for early warning thrust bearing temperature of pumped storage power station |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1845029A (en) * | 2005-11-11 | 2006-10-11 | 南京科远控制工程有限公司 | Setting method for fault diagnosis and accident prediction |
CN101320259A (en) * | 2007-12-14 | 2008-12-10 | 上海发电设备成套设计研究院 | Important component service life management method and system for unit generator set main unit |
CN101825893A (en) * | 2010-05-05 | 2010-09-08 | 湖州师范学院 | Centralized and remote control monitoring, and fault diagnosis system of wind turbine |
CN101858312A (en) * | 2010-05-31 | 2010-10-13 | 重庆大学 | System and method thereof for evaluating real-time running state of wind generating set |
CN103335800A (en) * | 2013-06-08 | 2013-10-02 | 哈尔滨工业大学 | Vibration fault detection method and device for wind turbine |
CN105549503A (en) * | 2015-12-09 | 2016-05-04 | 国家电网公司 | Pumped storage unit run-out protection and monitoring system |
-
2016
- 2016-06-02 CN CN201610384422.2A patent/CN106092190B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1845029A (en) * | 2005-11-11 | 2006-10-11 | 南京科远控制工程有限公司 | Setting method for fault diagnosis and accident prediction |
CN101320259A (en) * | 2007-12-14 | 2008-12-10 | 上海发电设备成套设计研究院 | Important component service life management method and system for unit generator set main unit |
CN101825893A (en) * | 2010-05-05 | 2010-09-08 | 湖州师范学院 | Centralized and remote control monitoring, and fault diagnosis system of wind turbine |
CN101858312A (en) * | 2010-05-31 | 2010-10-13 | 重庆大学 | System and method thereof for evaluating real-time running state of wind generating set |
CN103335800A (en) * | 2013-06-08 | 2013-10-02 | 哈尔滨工业大学 | Vibration fault detection method and device for wind turbine |
CN105549503A (en) * | 2015-12-09 | 2016-05-04 | 国家电网公司 | Pumped storage unit run-out protection and monitoring system |
Non-Patent Citations (3)
Title |
---|
基于三维曲面的抽水蓄能电站;安学利 等;《水力发电》;20130131;第39卷(第1期);第71-74、81页 |
基于健康评估和劣化趋势预测的水电机组故障诊断系统研究;潘罗平;《中国博士学位论文全文数据库 工程科技Ⅱ辑》;20140215(第02期);第18页倒数第1段至第19页第4段、第51页第3段至第52页第7段、第60页倒数第1段至第61页第2段、表4-1、图4-13、4-14 |
抽水蓄能电站机组异常状态检测模型研究;安学利 等;《水电能源科学》;20130131;第31卷(第1期);第157-160页 |
Also Published As
Publication number | Publication date |
---|---|
CN106092190A (en) | 2016-11-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106092190B (en) | Pump-storage generator operation stability state deteriorates method for early warning and system | |
CN108460144B (en) | Coal equipment fault early warning system and method based on machine learning | |
US10248114B2 (en) | Plant process management system with normalized asset health | |
CN105956734A (en) | Method and system for dynamically setting performance index threshold of IT equipment | |
CN101354316A (en) | Fleet anomaly detection method | |
CN105372591A (en) | A transient process-based hydroelectric generating set health status quantitative evaluation method | |
CN112555084B (en) | Real-time state early warning method and device, electronic equipment and storage medium | |
CN110036418B (en) | Performance parameterization of care equipment and systems | |
CN110414838A (en) | A kind of tobacco process quality management-control method, system, equipment and storage medium | |
CN108133326A (en) | A kind of status early warning method and system based on thermal power generating equipment | |
CN109063885A (en) | A kind of substation's exception metric data prediction technique | |
CN116914917A (en) | Big data-based monitoring and management system for operation state of power distribution cabinet | |
CN112580858A (en) | Equipment parameter prediction analysis method and system | |
CN114862275A (en) | Storage logistics system reliability assessment method and system based on digital twin model | |
JP2002278614A (en) | Plant integral efficiency calculating device | |
US12001199B2 (en) | Method, system and computer program product for evaluation of energy consumption in industrial environments | |
CN113704487A (en) | Knowledge graph generation method and device, computer equipment and storage medium | |
CN115017214B (en) | Hydropower station auxiliary equipment operation state analysis early warning method, device and storage medium | |
CN109683565A (en) | A kind of instrument and meter fault detection method based on multi-method fusion | |
FI128056B (en) | Reducing product variations via variance partition analysis | |
CN117642707A (en) | Data processing method and device, data display method and device, equipment and medium | |
CN111242411B (en) | Wind turbine generator power characteristic evaluation method and system | |
CN114117316A (en) | Dynamic wind zone drawing method and system based on multiple data sources | |
CN114235108A (en) | Method and device for detecting abnormal state of gas flowmeter based on data analysis | |
CN113792421A (en) | TPM device management data processing system and method based on digital twin |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |