CN107680853A - Pre arcing time Forecasting Methodology based on breaker RDDS Parameter Self-learnings - Google Patents
Pre arcing time Forecasting Methodology based on breaker RDDS Parameter Self-learnings Download PDFInfo
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- CN107680853A CN107680853A CN201710825097.3A CN201710825097A CN107680853A CN 107680853 A CN107680853 A CN 107680853A CN 201710825097 A CN201710825097 A CN 201710825097A CN 107680853 A CN107680853 A CN 107680853A
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- breaker
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- arcing time
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
- H01H9/00—Details of switching devices, not covered by groups H01H1/00 - H01H7/00
- H01H9/54—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere
- H01H9/56—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
- H01H9/00—Details of switching devices, not covered by groups H01H1/00 - H01H7/00
- H01H9/54—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere
- H01H9/56—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle
- H01H2009/566—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle with self learning, e.g. measured delay is used in later actuations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Keying Circuit Devices (AREA)
- Driving Mechanisms And Operating Circuits Of Arc-Extinguishing High-Tension Switches (AREA)
Abstract
Pre arcing time Forecasting Methodology of the invention based on breaker RDDS Parameter Self-learnings, it is characterized in that, a phase is electrically closed based on breaker, and electrically close a little time difference between main contact combined floodgate point, obtain breaker RDDS parameters, and close operation by repeatedly powered and obtain RDDS characteristic parameter correction values, phase calculation pre arcing time predicted value is closed according to target on this basis.Method of the present invention is simple and reliable, operand is small, and the software being highly susceptible in the controls is realized.Control occasion is closed in breaker phase selection, precalculates and considers pre arcing time, is advantageous to improve switching-on phase control accuracy, effectively suppresses transient state impact during power system switch input.
Description
Technical field
RDDS is based on the present invention relates to grid circuit breaker technical field, during more particularly to breaker phase bit shutting-brake control
The Forecasting Methodology of the pre arcing time of characteristic parameter self study.
Background technology
In power system, the influence shoved with overvoltage can be produced by switching the transient process of closing operation, be unfavorable for system
Stability.A large amount of field applications experience have shown that, combined floodgate can be effectively reduced instantaneously to punching caused by system using phase selection
Hit, but always exist during phase selection, between the target switching-on phase angle of actual switching-on phase angle and setting certain
Deviation, this except to mechanical closing time that breaker is intrinsic it is dispersed it is related in addition to, the influence of prebreakdown characteristic can be brought
Bigger deviation.
During the closing of breaker, along with the reduction of distance between fracture, fracture dielectric strength declines, when insulation is strong
Prebreakdown occurs when degree is less than the system voltage value being applied on fracture, loop is electrically closed a floodgate, therefore breaker closing phase
Additionally depend on dielectric strength rate of descent (RDDS between fracture：Rate of Decrease of dielectric Strength).In advance
Breakdown voltage and the relation of time are reduced to straight line, and the absolute value of slope is dielectric strength rate of descent RDDS, i.e.,：Kp=
Ev.Wherein：KpIt is dielectric strength rate of descent RDDS；E is the average disruptive field intensity of contact gap, and V is closing speed.Lot of experiments is demonstrate,proved
Normal distribution, and K is presented in real RDDSpFor one hardly by the definite value of applied voltage polarity effect.
Prebreakdown characteristic is actually a kind of statistical property, because the change of breaker fracture voltage, contact surface are smooth
The influence of the factors such as degree, dielectric intensity and closing speed, in actual applications, the correlation of the prebreakdown characteristic of breaker
Parameter is very difficult to measurement, is counted the change of prebreakdown characteristic and is predicted the pre arcing time of combined floodgate next time one, to improving
The phase selection precision of breaker is significant.
When breaker phase selection closes, based on the influence of breaker dielectric strength rate of descent (RDDS), different targets is closed
Different pre arcing times will be produced under lock angle.Occasion is controlled for fixed target switching-on phase, pre arcing time becomes
Change that scope is little, under normal circumstances according to the intrinsic prebreakdown characteristic of breaker set fixed pre arcing time can be achieved compared with
Closed for accurate phase bit.But if each target switching-on phase needs to enter Mobile state adjustment, allusion quotation according to certain parameter size
When type application may be such as needed according to remanent magnetism level in combined floodgate no-load transformer to determine target combined floodgate angle next time,
The pre arcing time of each secondary shutting-brake control is also dynamic change, and the method for now traditional fixation pre arcing time can then introduce
Larger error, therefore before shutting-brake control is carried out to breaker, pre arcing time is predicted in advance just very necessary.
China Patent Publication No. CN102315045B, publication date 2014 year 07 month 23 days, the entitled self study control of invention
The method of switching-on phase processed, a kind of method that phase selecting switching-on apparatus adopts self-learning switching-on phase control is which disclose, wherein
Step (4) closes coefficient in claim 1, the known quantity provided for switch producer, and not thinks to change.Weak point
It is that actual closing operation closes coefficient and may changed because the insulation characterisitic of breaker changes, and disperses with certain
Property, fail to be adjusted in real time to closing coefficient according to the result of closing operation.
The present invention according to it is all previous it is powered close operating result, the method by introducing RDDS characteristic parameter self studies, to mesh
Pre arcing time corresponding to mark combined floodgate angle is predicted.Preshot of the present invention based on breaker RDDS Parameter Self-learnings
Time forecasting methods are worn, algorithm is simple and reliable, operand is small, and is not related to non-linear content, is highly susceptible in the controls
Software realize that being particularly suitable for use in closes the pre arcing time of target phase to different phase selections and be predicted in engineer applied, and
Carry out closing the occasion of control accordingly.Breaker pre arcing time is predicted using method of the present invention, and selected
Consider pre arcing time during phase shutting-brake control, be advantageous to improve switching-on phase control accuracy, break so as to effectively suppress power system
Transient state impact when road device closes.
The content of the invention
It is right it is an object of the invention to provide a kind of pre arcing time Forecasting Methodology based on breaker RDDS Parameter Self-learnings
The pre arcing time that different phase selections close target phase is predicted, and considers pre arcing time when phase selection controls, and is had
Beneficial to switching-on phase control accuracy is improved, so as to effectively suppress transient state impact when electric power system circuit breaker closes.
To achieve these goals, the present invention is realized by following technical scheme：Based on breaker RDDS parameters
The pre arcing time Forecasting Methodology of self study, a phase is electrically closed based on breaker, and electrically closed a little and main contact
The time difference closed a floodgate between point, obtain breaker RDDS parameters, and close operation by repeatedly powered and obtain RDDS characteristic parameters
Correction value, phase calculation pre arcing time predicted value is closed according to target on this basis.
Further, described breaker RDDS parameters are reduced parameter, can characterize breaker with approximately linear and close
The slope of dielectric strength rate of descent in journey, and relation proportional to dielectric strength rate of descent.
Further, specifically comprise the steps of：
(1) closed by powered between operation determination circuit breaker electric air to close chalaza phase α and main contact combined floodgate point phase beta
Time difference Δ tpre, obtain breaker RDDS parametersAnd close operation by repeatedly powered and obtain breaker
The correction value k of RDDS parametersmRDDS；
(2) phase that closes reached as needed is θtargTarget, pass through characteristic parameter k in step (1)mRDDS, calculate
Go out this pre arcing time predicted value that will be closed a floodgate
Further, described circuit breaker electric air to close chalaza phase α, the feedback signal closed by sign circuit breaker electric air to close are dashed forward
Become moment determination.
Further, the feedback signal includes electric current, voltage or auxiliary signal.
Further, a described breaker main contact combined floodgate point phase beta, by the direct signal of sign main contact time of contact
Or there is the indirect signal acquisition of set time difference with main contact time of contact.
Further, the indirect signal includes breaker auxiliary contact position signalling.
Further, the correction value k of the breaker RDDS parametersmRDDSIt is to close operation knot according to breaker n times are powered
What fruit obtained, N >=2, and can be according to historical data constantly to kmRDDSCarry out self study amendment.
Further, the correction value k of the breaker RDDS parametersmRDDSTo take multigroup RDDS obtained by n times operation special
The median or average value of parameter are levied, and can be constantly modified according to the operating result of newest time.
Method of the present invention is simple and reliable, operand is small, and the software being highly susceptible in the controls is realized.Disconnected
Road device phase selection closes control occasion, precalculates and considers pre arcing time, is advantageous to improve switching-on phase control accuracy, effectively
Suppress transient state impact during power system switch input.
Brief description of the drawings
Fig. 1 is that the pre arcing time Forecasting Methodology based on breaker RDDS Parameter Self-learnings realizes schematic diagram；
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below according to drawings and Examples
The present invention is further elaborated.It should be appreciated that described herein be embodied only to explain the present invention, not
Limit the present invention.
Embodiment 1
Based on the pre arcing time Forecasting Methodology of breaker RDDS Parameter Self-learnings, only carried out so that single phase closing operates as an example
Illustrate, the Forecasting Methodology of remaining phase is similar, as shown in Figure 1.Sinusoidal waveform represents voltage between breaker fracture, is ordinarily selected to break
The system voltage of road device mains side, feedback signal mutation moment characterize circuit breaker electric air to close chalaza, and auxiliary contact is and breaker
There is the high precision position contact of set time difference main fracture closing moment.Mainly include the following steps that：
(1) operating result is closed by the 1st time, obtains circuit breaker electric air to close chalaza phase α1, and breaker main contact
A combined floodgate point phase beta1, so as to which the true pre arcing time Δ t of this operation be calculatedpre=β1-α1, joined according to RDDS features
Number, further calculate this operation
(2) similarly, close operation by the 2nd time and obtain kRDDS2, until n-th operation kRDDSN.Times N can be according to engineering
The requirement of site of deployment power transmission number or control accuracy requirement determine that N >=2, the method for the invention should be able to be every by recording automatically
The secondary result for closing operation, and the RDDS characteristic parameters of nearest n times operation are calculated automatically.
(3) by repeatedly it is powered close operation obtain the correction value k of breaker RDDS parametersmRDDS, correction value can basis
Nearest operation carries out continuous self study amendment, with can be with the newest change of amiable reflection breaker prebreakdown characteristic.Letter
For the sake of change, the average value of resulting RDDS characteristic parameters can be operated by calculating the nearest n times of breaker, i.e.,
(4) if closing operation is wished in θ next timetargElectrically closing for breaker is realized, then is obtained by latest computed
The k arrivedmRDDS, prediction will close a floodgate in θtargRequired pre arcing time during phase
(5) when being closed to phase breaker progress phase selection, prebreakdown time lag is not considered at the time of sending combined floodgate order
Δ t afterwardstargpreSend, to realize in θtargPhase point is realized and electrically closed just.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously
Therefore the limitation to the scope of the claims of the present invention can not be interpreted as.It should be pointed out that for one of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (9)
1. the pre arcing time Forecasting Methodology based on breaker RDDS Parameter Self-learnings, it is characterised in that the electricity based on breaker
Air to close chalaza phase, and a little time difference between main contact combined floodgate point is electrically closed, breaker RDDS parameters are obtained, and lead to
Excessive time powered to close operation and obtains RDDS characteristic parameter correction values, closes phase calculation prebreakdown according to target on this basis
Temporal predictive value.
2. the pre arcing time Forecasting Methodology according to claim 1 based on breaker RDDS Parameter Self-learnings, its feature
It is：Described breaker RDDS parameters are reduced parameter, and dielectric strength during breaker closes can be characterized with approximately linear
The slope of rate of descent, and relation proportional to dielectric strength rate of descent.
3. the pre arcing time Forecasting Methodology according to claim 1 based on breaker RDDS Parameter Self-learnings, its feature
It is, specifically comprises the steps of：
(1) the powered time closed between operation determination circuit breaker electric air to close chalaza phase α and main contact combined floodgate point phase beta is passed through
Poor Δ tpre, obtain breaker RDDS parametersAnd close operation by repeatedly powered and obtain breaker RDDS
The correction value k of parametermRDDS；
(2) phase that closes reached as needed is θtargTarget, pass through characteristic parameter k in step (1)mRDDS, calculate this
The secondary pre arcing time predicted value that will be closed a floodgate
4. the pre arcing time Forecasting Methodology according to claim 3 based on breaker RDDS Parameter Self-learnings, its feature
It is：Described circuit breaker electric air to close chalaza phase α, the feedback signal mutation moment closed by sign circuit breaker electric air to close determine.
5. the pre arcing time Forecasting Methodology according to claim 4 based on breaker RDDS Parameter Self-learnings, its feature
It is：The feedback signal includes electric current, voltage or auxiliary signal.
6. the pre arcing time Forecasting Methodology according to claim 2 based on breaker RDDS Parameter Self-learnings, its feature
It is：A described breaker main contact combined floodgate point phase beta, connects by the direct signal of sign main contact time of contact or with main contact
The indirect signal that set time difference is carved with when tactile obtains.
7. the pre arcing time Forecasting Methodology according to claim 6 based on breaker RDDS Parameter Self-learnings, its feature
It is：The indirect signal includes breaker auxiliary contact position signalling.
8. the pre arcing time Forecasting Methodology according to claim 3 based on breaker RDDS Parameter Self-learnings, its feature
It is：The correction value k of the breaker RDDS parametersmRDDSObtained according to the powered operating result that closes of breaker n times, N >=
2, and can be according to historical data constantly to kmRDDSCarry out self study amendment.
9. the pre arcing time Forecasting Methodology according to claim 8 based on breaker RDDS Parameter Self-learnings, its feature
It is：The correction value k of the breaker RDDS parametersmRDDSTo take the centre of multigroup RDDS characteristic parameters obtained by n times operation
Value or average value, and can be constantly modified according to the operating result of newest time.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109412126A (en) * | 2018-11-19 | 2019-03-01 | 国网四川省电力公司电力科学研究院 | A kind of high-capacity main transformer optimal reclosing phase by phase time determines method and device |
| CN110729155A (en) * | 2018-07-17 | 2020-01-24 | 国网江苏省电力有限公司常州供电分公司 | Method for controlling closing phase through self-learning |
| CN112763907A (en) * | 2021-04-07 | 2021-05-07 | 国网江西省电力有限公司电力科学研究院 | Method for checking field phase selection and switching-on functions of extra-high voltage alternating current filter |
| CN113534684A (en) * | 2020-04-22 | 2021-10-22 | 南京南瑞继保电气有限公司 | Phase selection switching-on control method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110729155A (en) * | 2018-07-17 | 2020-01-24 | 国网江苏省电力有限公司常州供电分公司 | Method for controlling closing phase through self-learning |
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| CN113534684A (en) * | 2020-04-22 | 2021-10-22 | 南京南瑞继保电气有限公司 | Phase selection switching-on control method and device |
| CN113534684B (en) * | 2020-04-22 | 2022-08-26 | 南京南瑞继保电气有限公司 | Phase selection and closing control method and device |
| CN112763907A (en) * | 2021-04-07 | 2021-05-07 | 国网江西省电力有限公司电力科学研究院 | Method for checking field phase selection and switching-on functions of extra-high voltage alternating current filter |
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