CN107063382A - The real-time estimation method of cold water in convertor station elevated tank liquid level - Google Patents
The real-time estimation method of cold water in convertor station elevated tank liquid level Download PDFInfo
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- CN107063382A CN107063382A CN201710132116.4A CN201710132116A CN107063382A CN 107063382 A CN107063382 A CN 107063382A CN 201710132116 A CN201710132116 A CN 201710132116A CN 107063382 A CN107063382 A CN 107063382A
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- liquid level
- tank liquid
- elevated tank
- variable
- cold water
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
- G01F23/80—Arrangements for signal processing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Fluid Mechanics (AREA)
- Examining Or Testing Airtightness (AREA)
Abstract
The invention discloses a kind of real-time estimation method of cold water in convertor station elevated tank liquid level, the variable relevant with elevated tank liquid level is found out first, Stepwise Regression Method is recycled to find out the mathematic(al) representation between elevated tank liquid level and notable variable, pass through the height of the predictable elevated tank liquid level of the change of variable in expression formula, when the difference of the predicted value and real-time collection value is beyond the limits value of setting, control system just judges that inner cold water has drainage, corresponding signal prompting operator on duty can be sent and carry out inspection processing, and detect whether to exist with this method unrelated with the position of leakage point during water leakage situation.
Description
Technical field
The present invention relates to allocated transmission electro-technical field, and in particular to a kind of cold water in convertor station elevated tank liquid level it is real-time
Estimating and measuring method.
Background technology
The heat that converter valve is produced in current conversion station is mainly drained into environment by inner cold water, but is had during inner cold water drainage
Occur.Leak not only results in component damage, and often causes direct current locking.Therefore how quick detection inner cold water leak feelings
Condition turns into urgent problem.
Current commutation station water leakage detecting function implementation method is：A radome is installed in valve tower bottom, is shielded by detecting
The water leakage covered in cover judges water leakage situation.However, work as leakage point has component screening farther out or below leakage point apart from radome
During gear, the water leaked out reaches the not actual water amount of seepage of water in radome due to being splashed in remaining equipment, this method
Detection results are unsatisfactory.
The content of the invention
In view of the shortcomings of the prior art, it is an object of the invention to provide a kind of cold water in convertor station elevated tank liquid level
Real-time estimation method, provides reliable data for inner cold water leak water detdction and supports.
To achieve these goals, the present invention is adopted the technical scheme that：
A kind of real-time estimation method of cold water in convertor station elevated tank liquid level, including step：
Preliminary choose there may be some variables of relation with elevated tank liquid level, and gather elevated tank liquid level and primary election
The sample data of variable；
The linear relation of elevated tank liquid level and primary election variable is set up, and sample data is substituted into the linear relation,
The linear relation includes regression coefficient and random error, and recurrence is calculated under conditions of the quadratic sum of random error reaches minimum
The least-squares estimation value of coefficient；
Insignificant variable in primary election variable is rejected using Stepwise Regression Method, notable variable is obtained, and determine notable
Expression formula between variable and elevated tank liquid level；
Measure the data of notable variable and substitute into above-mentioned expression formula, obtain the estimate of elevated tank liquid level.
The present invention finds out the variable relevant with elevated tank liquid level first, recycles Stepwise Regression Method to find out high-order water
Mathematic(al) representation between case liquid level and notable variable, passes through the height of the predictable elevated tank liquid level of the change of variable in expression formula
Low, when the difference of the predicted value and real-time collection value is beyond the limits value of setting, control system just judges that inner cold water has leak
Phenomenon, can send corresponding signal prompting operator on duty and carry out inspection processing, and when detecting whether to exist water leakage situation with this method
Position with leakage point is unrelated.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the real-time estimation method of cold water in convertor station elevated tank liquid level of the present invention.
Embodiment
The solution of the present invention is further described with reference to specific embodiment.
As shown in figure 1, the real-time estimation process of cold water in convertor station elevated tank liquid level of the present invention is as follows.
First, n groups are taken elevated tank liquid level and to there may be the variable of relation with elevated tank liquid level under normal circumstances
Data.
If elevated tank liquid level y and m independent variable x1,x2,...,xmThere is linear relationship:
Y=β0+β1x1+β2x2+...+βmxm+ε (1)
In formula (1), β0,β1,β2,...,βmFor regression coefficient, ε is random error.
If there is n groups sample to observe data:
x11,x12,...,x1m,y1
x21,x22,...,x2m,y2
..........................
xn1,xn2,...,xnm,yn
Wherein xijRepresent xjIn the observation of ith, then have:
If b0,b1,b2,...,bmRespectively β0,β1,β2,...,βmLeast-squares estimation value,For ykEstimate.Then
Have：
If note error is ek, then:
Estimate to be madeWith actual value ykWhat is be fitted is best, then error sum of squares should be made to reach minimum, error sum of squares
As shown in formula (5).
Extremum principle can be asked to solve above formula with differential and determine b0,b1,b2,...,bm.Solve after equation is arranged and be：
If note
It can then be solved by the first formula in formula (6)：
After formula (7) is brought into formula (6) and it is arranged, note：
Then formula (6) can be expressed as：
B can be obtained by solving equation (10)1,b2,...,bm, bring the b that (7) can be asked into0, then obtain regression equation.
Because not all independent variable all has a significant impact to elevated tank liquid level, it is therefore desirable to pick out to elevated tank
The independent variable that liquid level has a significant impact, herein using method of gradual regression：Variable is introduced into equation one by one, whenever introducing one
After individual independent variable, the independent variable being selected into be verified one by one, when the variable of original introducing is due to the introducing of variable below
When becoming not notable, rejected, be introduced into a variable or a variable is rejected from equation, be a step of successive Regression,
Each step will carry out F and examine to ensure only to include significant variable before being introduced into new variable every time in regression equation.So
It is repeated, until being both selected into regression equation without significant independent variable, is also rejected without inapparent independent variable from regression equation
Untill.
Wherein, independent variable F methods of calibration are：
Assuming that βi=0, then can be using F verifications：
Wherein：Q is error sum of squares, i.e.,：ciiInverse matrix for formula (10) coefficient matrix is diagonal
I-th of element on line.For given insolation level α, critical F can be checked in from F distribution tablesα(1, n-m-1), if Fi≤
Fα(1, n-m-1), that is, think independent variable xiY is not played an important role, can be rejected.
Mathematic(al) representation between elevated tank liquid level and notable variable can be determined by above method.It therefore, it can
Assuming that elevated tank liquid level is unknown, by the variable real-time estimate elevated tank liquid level in mathematic(al) representation, pass through the calculating liquid
Position is compared with actual measurement liquid level, if both deviations exceed setting value, be there may be the situation of percolating water, should be sent corresponding announcement
Alert signal prompt person on duty processing.
To prove the feasibility of this method, it is assumed that elevated tank water level is entered valve temperature, environment temperature, DC load, valve
Room temperature influence.By taking ox stockaded village current conversion station Niu Congyi direct currents pole 2 as an example, do not occur on April 30th, 2016 to June 15 leak with
And during moisturizing, every five days one group of zero point of collection and ten two points of data are analyzed, 20 groups of sample numbers of Niu Congyi direct currents pole 2
According to as shown in table 1.
The sample data of 1 Niu Congyi direct currents pole of table 2
Data are observed based on sample above, level of significance α=0.05 is taken, the critical value F for introducing, rejecting variable takes
4.54, use the mathematic(al) representation that Stepwise Regression Method is tried to achieve for：Y=44.8+0.441*x1+0.00127*x3.
Error analysis is carried out to it, as shown in table 2, thus table is visible, the error of prediction liquid level and actual liquid level is smaller, card
Understand the feasibility of the Forecasting Methodology.
The error analysis table of table 2
To sum up, the present invention determines the mathematic(al) representation of elevated tank liquid level and notable independent variable by Stepwise Regression Method
Afterwards, notable independent variable real-time estimate elevated tank liquid level can be passed through.It whether there is using this method detection cold water in convertor station
During water leakage situation, any position of inner cold water pipeline occurs water leakage situation and can detect, not by the position limitation of leakage point.
Above-listed detailed description is illustrating for possible embodiments of the present invention, and the embodiment simultaneously is not used to limit this hair
Bright the scope of the claims, all equivalence enforcements or change without departing from carried out by the present invention are intended to be limited solely by the scope of the claims of this case.
Claims (5)
1. a kind of real-time estimation method of cold water in convertor station elevated tank liquid level, it is characterised in that including step：
Preliminary choose there may be some variables of relation with elevated tank liquid level, and gather elevated tank liquid level and primary election variable
Sample data；
The linear relation of elevated tank liquid level and primary election variable is set up, and sample data is substituted into the linear relation, the line
Sexual intercourse formula includes regression coefficient and random error, and regression coefficient is calculated under conditions of the quadratic sum of random error reaches minimum
Least-squares estimation value；
Insignificant variable in primary election variable is rejected using Stepwise Regression Method, notable variable is obtained, and determine notable variable
With the expression formula between elevated tank liquid level；
Measure the data of notable variable and substitute into above-mentioned expression formula, obtain the estimate of elevated tank liquid level.
2. the real-time estimation method of cold water in convertor station elevated tank liquid level according to claim 1, it is characterised in that also
Including step：
The actual value of elevated tank liquid level is measured, and is compared with estimate, if both deviations exceed setting value, is judged in the presence of interior
Cold water drainage, sends alarm signal.
3. the real-time estimation method of cold water in convertor station elevated tank liquid level according to claim 1 or 2, its feature exists
In elevated tank liquid level and the linear relation of primary election variable are：
Y=β0+β1x1+β2x2+...+βmxm+ε
In formula, y represents elevated tank liquid level, x1,x2,...,xmRepresent m primary election variable, β0,β1,β2,...,βmRepresent to return system
Number, ε represents random error.
4. the real-time estimation method of cold water in convertor station elevated tank liquid level according to claim 3, it is characterised in that
In Stepwise Regression Method, each step is required for xiF is performed to examine.
5. the real-time estimation method of cold water in convertor station elevated tank liquid level according to claim 4, it is characterised in that
Primary election variable is included into valve temperature, environment temperature, DC load and valve Room temperature, and collection primary election variable is in zero point within every 5 days
With ten two points of data, 20 groups of sample datas are obtained.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201569553U (en) * | 2009-11-27 | 2010-09-01 | 中国电力科学研究院 | Water leakage monitoring device of direct current converter valve |
| CN103884473A (en) * | 2014-02-18 | 2014-06-25 | 北京国电富通科技发展有限责任公司 | Water leakage determination method for water cooling system |
| CN105221402A (en) * | 2015-11-06 | 2016-01-06 | 国家电网公司 | High voltage direct current converter valve constituent recycle pump leakage detection method and device |
| CN105334012A (en) * | 2015-11-20 | 2016-02-17 | 中国南方电网有限责任公司超高压输电公司曲靖局 | Method based on liquid level descending of head water tank of convertor station valve cooling system for judging internal cooling water leaking |
| CN205861293U (en) * | 2016-07-08 | 2017-01-04 | 中国南方电网有限责任公司超高压输电公司昆明局 | A kind of converter valve leakage inspector |
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2017
- 2017-03-07 CN CN201710132116.4A patent/CN107063382A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201569553U (en) * | 2009-11-27 | 2010-09-01 | 中国电力科学研究院 | Water leakage monitoring device of direct current converter valve |
| CN103884473A (en) * | 2014-02-18 | 2014-06-25 | 北京国电富通科技发展有限责任公司 | Water leakage determination method for water cooling system |
| CN105221402A (en) * | 2015-11-06 | 2016-01-06 | 国家电网公司 | High voltage direct current converter valve constituent recycle pump leakage detection method and device |
| CN105334012A (en) * | 2015-11-20 | 2016-02-17 | 中国南方电网有限责任公司超高压输电公司曲靖局 | Method based on liquid level descending of head water tank of convertor station valve cooling system for judging internal cooling water leaking |
| CN205861293U (en) * | 2016-07-08 | 2017-01-04 | 中国南方电网有限责任公司超高压输电公司昆明局 | A kind of converter valve leakage inspector |
Non-Patent Citations (1)
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| 代书龙: "多元线性回归分析在换流站内冷水漏水检测中的应用", 《云南电力技术》 * |
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