CN112733391A - Circuit breaker closing time estimation method based on distance power inverse ratio method - Google Patents

Circuit breaker closing time estimation method based on distance power inverse ratio method Download PDF

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CN112733391A
CN112733391A CN202110365554.1A CN202110365554A CN112733391A CN 112733391 A CN112733391 A CN 112733391A CN 202110365554 A CN202110365554 A CN 202110365554A CN 112733391 A CN112733391 A CN 112733391A
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邹阳
王华云
龙国华
程梦盈
袁思凡
李博江
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State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
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Abstract

The invention relates to the technical field of circuit breakers, in particular to a circuit breaker closing time estimation method based on a distance power inverse ratio method, which comprises the following steps of: analyzing the closing process of the circuit breaker to obtain that the closing of the circuit breaker has mechanical dispersity; calculating an expected estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method; calculating a variance estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method; and modeling the closing time of the circuit breaker according to the expected estimated value and the variance estimated value and a normal distribution model. According to the method, the uncertainty of the mechanical dispersity of the circuit breaker is overcome by introducing a normal distribution function in calculation so as to improve the accuracy of the prediction of the closing time; the method estimates the closing time of the circuit breaker by adopting the inverse ratio of distance power method for the first time, reasonably improves the proportion of recent data, and has higher feasibility and accuracy.

Description

Circuit breaker closing time estimation method based on distance power inverse ratio method
Technical Field
The invention relates to the technical field of circuit breakers, in particular to a circuit breaker closing time estimation method based on a distance power inverse ratio method.
Background
The direct current transmission has the advantages of large transmission power, low line cost, good control performance and the like, is an important means for high-voltage, large-capacity and long-distance power transmission and asynchronous networking in developed countries at present, and large-scale application of high-voltage direct current transmission is a necessary choice when large-scale western and east power transmission is realized in China. The alternating current filter is one of important devices in a direct current transmission system, and not only provides reactive power required by current conversion, but also can filter harmonic waves.
The phase selection closing device can control the circuit breaker to perform closing operation at a proper time, and effectively shortens the transient process generated by the input of the filter, so that the existing alternating current filter mostly adopts the circuit breaker with the phase selection closing function. The reasonable prediction of the next switching-on time is crucial to the phase selection switching-on technology, the circuit breaker has certain action time dispersity due to the difference between the manufacturing process and the level, the mechanical dispersity of the circuit breaker can change continuously along with the time and the external environment, the switching-on speed dispersity of the circuit breaker of the filter field of the commutation station is evaluated only according to test data when the circuit breaker leaves a factory, certain limitations exist, and the evaluation method is difficult to implement in principle. The existing circuit breaker closing time estimation mainly comprises two types, the first type is simply to calculate the average value of the existing data for estimation, the method cannot consider the characteristic that the mechanical dispersity of the circuit breaker can change along with the time, and the accuracy is low; and the second method is to predict by taking the external environment as a variable in principle, and the method has low feasibility due to excessive related variables and cannot consider all influence factors, so that the accuracy of the prediction result is low.
Therefore, in order to evaluate the closing time of the circuit breaker more accurately, a new method for estimating the closing time of the circuit breaker needs to be designed.
Disclosure of Invention
The invention aims to solve at least one technical problem in the prior art and provides a method for estimating the closing time of a circuit breaker based on a distance inverse power ratio method.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a method for estimating the closing time of a circuit breaker based on a distance inverse power ratio method comprises the following steps:
step 1, analyzing the closing process of the circuit breaker to obtain that the closing of the circuit breaker has mechanical dispersity, wherein the closing time of the circuit breaker at each time is random time, and the closing time of the circuit breaker is regarded as obeying normal distribution;
step 2, calculating an expected estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method; the inverse distance power ratio method is expressed by the following equation:
Figure 463046DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 919436DEST_PATH_IMAGE002
for the purpose of the estimation of the value,
Figure 471640DEST_PATH_IMAGE003
is the ith sample;
Figure 307703DEST_PATH_IMAGE004
the distance between the ith sample and the estimated sample is taken; p is the power of the distance; n is a positive integer;
step 3, calculating a variance estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method;
and 4, modeling the closing time of the circuit breaker according to the expected estimated value and the variance estimated value and a normal distribution model to obtain a probability distribution function of the closing time of the circuit breaker.
Further, in step 2, the desired estimation valueμ n The calculation formula of (2) is as follows:
Figure 123212DEST_PATH_IMAGE005
in the formula (I), the compound is shown in the specification,μ n is a desired estimate of the nth closing time,
Figure 66898DEST_PATH_IMAGE006
for the expectation of the ith closing time,
Figure 907946DEST_PATH_IMAGE007
the time distance between the ith closing and the next closing, p is the time distance
Figure 620687DEST_PATH_IMAGE007
And n is a positive integer.
Further, in step 3, the variance estimate is obtained
Figure 341518DEST_PATH_IMAGE008
The calculation formula of (2) is as follows:
Figure 818505DEST_PATH_IMAGE009
in the formula (I), the compound is shown in the specification,
Figure 915774DEST_PATH_IMAGE008
is the variance estimation value of the nth closing time,
Figure 217442DEST_PATH_IMAGE010
is the variance of the ith closing time,
Figure 922224DEST_PATH_IMAGE011
is the ith timeThe time distance between the closing and the next closing, p being the time distance
Figure 840502DEST_PATH_IMAGE011
And n is a positive integer.
Further, in step 4, the probability distribution function of the nth closing time of the circuit breaker is as follows:
Figure 210303DEST_PATH_IMAGE012
in the formula (I), the compound is shown in the specification,t n the time of the nth closing is shown,μ n is a desired estimate of the nth closing time,
Figure 943642DEST_PATH_IMAGE013
and n is a positive integer and is a variance estimation value of the nth closing time.
As can be seen from the above description of the present invention, compared with the prior art, the method for estimating the closing time of the circuit breaker based on the inverse distance power ratio method of the present invention at least includes one of the following beneficial effects:
1. according to the method, the uncertainty of the mechanical dispersity of the circuit breaker is considered, the closing time of the circuit breaker is regarded as obeying normal distribution, and the uncertainty of the mechanical dispersity of the circuit breaker is overcome by introducing a normal distribution function in calculation so as to improve the accuracy of the estimation of the closing time;
2. the invention adopts the inverse distance power ratio method to estimate the closing time of the circuit breaker for the first time, the method belongs to a statistical method, the proportion of recent data is reasonably improved, the feasibility and the accuracy are higher, according to the past experience, the closing mechanical device of the circuit breaker can age along with the use times, the closing delay changes along with the time as a whole, the closer closing operation has higher estimation reference value on the mechanical dispersity of the closing time of the circuit breaker, and the inverse distance power ratio method provided by the invention can reasonably improve the proportion of the recent data, so that the estimated result can be more accurately obtained.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for estimating a closing time of a circuit breaker based on an inverse distance-to-power ratio method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, in a preferred embodiment of the present invention, a method for estimating a closing time of a circuit breaker based on an inverse distance power ratio method includes the following steps:
step 1, analyzing the closing process of the circuit breaker to obtain that the closing of the circuit breaker has mechanical dispersity, wherein the closing time of the circuit breaker at each time is random time, and the closing time of the circuit breaker is regarded as obeying normal distribution;
step 2, calculating an expected estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method; the inverse distance power ratio method is expressed by the following equation:
Figure 271855DEST_PATH_IMAGE014
in the formula (I), the compound is shown in the specification,
Figure 146270DEST_PATH_IMAGE015
for the purpose of the estimation of the value,
Figure 398391DEST_PATH_IMAGE016
is the ith sample;
Figure 940231DEST_PATH_IMAGE017
the distance between the ith sample and the estimated sample is taken; p is the power of the distance; n is a positive integer;
step 3, calculating a variance estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method;
and 4, modeling the closing time of the circuit breaker according to the expected estimated value and the variance estimated value and a normal distribution model to obtain a probability distribution function of the closing time of the circuit breaker.
According to the method, the uncertainty of the mechanical dispersity of the circuit breaker is considered, the closing time of the circuit breaker is regarded as obeying normal distribution, and the uncertainty of the mechanical dispersity of the circuit breaker is overcome by introducing a normal distribution function in calculation so as to improve the accuracy of the estimation of the closing time; the invention adopts the inverse distance power ratio method to estimate the closing time of the circuit breaker for the first time, the method belongs to a statistical method, the proportion of recent data is reasonably improved, the feasibility and the accuracy are higher, according to the past experience, the closing mechanical device of the circuit breaker can age along with the use times, the closing delay changes along with the time as a whole, the closer closing operation has higher estimation reference value on the mechanical dispersity of the closing time of the circuit breaker, and the inverse distance power ratio method provided by the invention can reasonably improve the proportion of the recent data, so that the estimated result can be more accurately obtained.
The inverse distance power ratio method is a geometric spatial interpolation method (spatial statistics) that estimates the values of grid points using the relationship that the distance exponential powers of known neighboring values are inversely proportional. It considers that the points closest to the unsampled point contribute most to the unsampled point value inversely proportional to the distance. The closer time closing operation has higher estimation reference value on the mechanical dispersion of the closing time of the circuit breaker, so that the distribution function of the next closing time can be estimated by using a time-distance inverse power ratio method.
As a preferred embodiment of the present invention, it may also have the following additional technical features:
further, in step 2, the desired estimation valueμ n The calculation formula of (2) is as follows:
Figure 173766DEST_PATH_IMAGE018
in the formula (I), the compound is shown in the specification,μ n is a desired estimate of the nth closing time,
Figure 801056DEST_PATH_IMAGE019
for the expectation of the ith closing time,
Figure 824245DEST_PATH_IMAGE020
the time distance between the ith closing and the next closing, p is the time distance
Figure 220591DEST_PATH_IMAGE021
And n is a positive integer.
Further, in step 3, the variance estimate is obtained
Figure 890607DEST_PATH_IMAGE022
The calculation formula of (2) is as follows:
Figure 552663DEST_PATH_IMAGE023
in the formula (I), the compound is shown in the specification,
Figure 67958DEST_PATH_IMAGE022
is the variance estimation value of the nth closing time,
Figure 584390DEST_PATH_IMAGE024
is the variance of the ith closing time,
Figure 211593DEST_PATH_IMAGE025
the time distance between the ith closing and the next closing, p is the time distance
Figure 626525DEST_PATH_IMAGE026
And n is a positive integer.
Further, in step 4, the probability distribution function of the nth closing time of the circuit breaker is as follows:
Figure 742248DEST_PATH_IMAGE027
in the formula (I), the compound is shown in the specification,t n the time of the nth closing is shown,μ n is a desired estimate of the nth closing time,
Figure 159192DEST_PATH_IMAGE013
and n is a positive integer and is a variance estimation value of the nth closing time.
The above additional technical features can be freely combined and used in superposition by those skilled in the art without conflict.
It is to be understood that the present invention has been described with reference to certain embodiments, and that various changes in the features and embodiments, or equivalent substitutions may be made therein by those skilled in the art without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (4)

1. A method for estimating the closing time of a circuit breaker based on a distance inverse power ratio method is characterized by comprising the following steps of:
step 1, analyzing the closing process of the circuit breaker to obtain that the closing of the circuit breaker has mechanical dispersity, wherein the closing time of the circuit breaker at each time is random time, and the closing time of the circuit breaker is regarded as obeying normal distribution;
step 2, calculating an expected estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method; the inverse distance power ratio method is expressed by the following equation:
Figure 804324DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 842687DEST_PATH_IMAGE002
for the purpose of the estimation of the value,
Figure 960553DEST_PATH_IMAGE003
is the ith sample;
Figure 931920DEST_PATH_IMAGE004
the distance between the ith sample and the estimated sample is taken; p is the power of the distance; n is a positive integer;
step 3, calculating a variance estimation value of a distribution function of the next closing time of the circuit breaker according to a distance power inverse ratio method;
and 4, modeling the closing time of the circuit breaker according to the expected estimated value and the variance estimated value and a normal distribution model to obtain a probability distribution function of the closing time of the circuit breaker.
2. The method for estimating the closing time of the circuit breaker according to claim 1, wherein in step 2, the expected estimation value is obtainedμ n The calculation formula of (2) is as follows:
Figure 516354DEST_PATH_IMAGE005
in the formula (I), the compound is shown in the specification,μ n is a desired estimate of the nth closing time,
Figure 47873DEST_PATH_IMAGE006
for the expectation of the ith closing time,
Figure 392267DEST_PATH_IMAGE007
the time distance between the ith closing and the next closing, p is the time distance
Figure 421402DEST_PATH_IMAGE007
And n is a positive integer.
3. The method for estimating the closing time of the circuit breaker based on the inverse distance power ratio method as claimed in claim 1, wherein in step 3, the variance estimation value
Figure 239055DEST_PATH_IMAGE008
The calculation formula of (2) is as follows:
Figure 986431DEST_PATH_IMAGE009
in the formula (I), the compound is shown in the specification,
Figure 400095DEST_PATH_IMAGE008
is the variance estimation value of the nth closing time,
Figure 283737DEST_PATH_IMAGE010
is the variance of the ith closing time,
Figure 508176DEST_PATH_IMAGE011
the time distance between the ith closing and the next closing, p is the time distance
Figure 477269DEST_PATH_IMAGE012
And n is a positive integer.
4. The method for estimating the closing time of the circuit breaker based on the inverse distance power ratio method as claimed in claim 1, wherein in step 4, the probability distribution function of the nth closing time of the circuit breaker is as follows:
Figure 271787DEST_PATH_IMAGE013
in the formula (I), the compound is shown in the specification,t n the time of the nth closing is shown,μ n is a desired estimate of the nth closing time,
Figure 806674DEST_PATH_IMAGE015
and n is a positive integer and is a variance estimation value of the nth closing time.
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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130268232A1 (en) * 2012-04-10 2013-10-10 Qualcomm Incorporated Informative Display for Statistical Positioning System
CN103840470A (en) * 2012-11-21 2014-06-04 华北电力科学研究院有限责任公司 Method, apparatus and system for controlling switching-on phase of circuit breaker
CN105761976A (en) * 2016-03-25 2016-07-13 韩少茹 Power grid GIS switch control method
CN106096110A (en) * 2016-06-03 2016-11-09 国网电力科学研究院武汉南瑞有限责任公司 Flashover of power transmission circuit caused by windage yaw method for early warning based on numerical weather forecast
KR101778212B1 (en) * 2017-02-23 2017-09-14 진우전기감리(주) Power supply for high-voltage distribution line
CN107994549A (en) * 2017-12-20 2018-05-04 国网江西省电力有限公司电力科学研究院 The definite method of distribution line low-voltage circuit breaker low-voltage protection delay time
CN108828438A (en) * 2018-04-18 2018-11-16 国网江西省电力有限公司电力科学研究院 Circuit-breaker status evaluation method
CN109066612A (en) * 2018-08-27 2018-12-21 国网湖北省电力有限公司电力科学研究院 The switching overvoltage calculation method combined based on electromechanical transient and electro-magnetic transient
CN110599446A (en) * 2019-07-26 2019-12-20 深圳供电局有限公司 Method for judging switching-on position of isolating switch
CN110737996A (en) * 2019-10-28 2020-01-31 中国大唐集团科学技术研究院有限公司西北电力试验研究院 high-voltage circuit breaker opening and closing coil current identification method
CN110852028A (en) * 2019-11-22 2020-02-28 重庆邮电大学 Vacuum circuit breaker electromagnetic transient model obtaining method considering parameter normal distribution
CN111211620A (en) * 2020-03-05 2020-05-29 上海电气输配电试验中心有限公司 Multi-path control system applied to high-voltage phase-selection switch-on switch
CN112257585A (en) * 2020-10-22 2021-01-22 国网青海省电力公司海西供电公司 Breaker state monitoring method based on probability density

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130268232A1 (en) * 2012-04-10 2013-10-10 Qualcomm Incorporated Informative Display for Statistical Positioning System
CN103840470A (en) * 2012-11-21 2014-06-04 华北电力科学研究院有限责任公司 Method, apparatus and system for controlling switching-on phase of circuit breaker
CN105761976A (en) * 2016-03-25 2016-07-13 韩少茹 Power grid GIS switch control method
CN106096110A (en) * 2016-06-03 2016-11-09 国网电力科学研究院武汉南瑞有限责任公司 Flashover of power transmission circuit caused by windage yaw method for early warning based on numerical weather forecast
KR101778212B1 (en) * 2017-02-23 2017-09-14 진우전기감리(주) Power supply for high-voltage distribution line
CN107994549A (en) * 2017-12-20 2018-05-04 国网江西省电力有限公司电力科学研究院 The definite method of distribution line low-voltage circuit breaker low-voltage protection delay time
CN108828438A (en) * 2018-04-18 2018-11-16 国网江西省电力有限公司电力科学研究院 Circuit-breaker status evaluation method
CN109066612A (en) * 2018-08-27 2018-12-21 国网湖北省电力有限公司电力科学研究院 The switching overvoltage calculation method combined based on electromechanical transient and electro-magnetic transient
CN110599446A (en) * 2019-07-26 2019-12-20 深圳供电局有限公司 Method for judging switching-on position of isolating switch
CN110737996A (en) * 2019-10-28 2020-01-31 中国大唐集团科学技术研究院有限公司西北电力试验研究院 high-voltage circuit breaker opening and closing coil current identification method
CN110852028A (en) * 2019-11-22 2020-02-28 重庆邮电大学 Vacuum circuit breaker electromagnetic transient model obtaining method considering parameter normal distribution
CN111211620A (en) * 2020-03-05 2020-05-29 上海电气输配电试验中心有限公司 Multi-path control system applied to high-voltage phase-selection switch-on switch
CN112257585A (en) * 2020-10-22 2021-01-22 国网青海省电力公司海西供电公司 Breaker state monitoring method based on probability density

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
MÁRIO D. CUNHA 等: "A Simple Model of Distribution of Current Over Cathodes of Vacuum Circuit Breakers", 《IEEE TRANSACTIONS ON PLASMA SCIENCE》 *
刘占宁 等: "样本点与距离权重对距离幂次反比法的影响", 《矿业研究与开发》 *
孙曙光 等: "基于振动信号样本熵和相关向量机的万能式断路器分合闸故障诊断", 《电工技术学报》 *

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