CN113253613B - Circuit breaker control method and system based on RSM prediction model - Google Patents
Circuit breaker control method and system based on RSM prediction model Download PDFInfo
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- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
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Abstract
The invention discloses a circuit breaker control method and a system based on an RSM prediction model, wherein the method comprises the following steps: analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker, and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation; constructing an RSM prediction model by fitting a corresponding relationship between the historical data of the influencing factors and the historical estimation data of heat accumulation/dissipation; inputting real-time data of the influence factors of the circuit breaker at different moments into an RSM prediction model to respectively obtain estimated values of heat accumulation/dissipation at different moments; drawing a real-time heat accumulation/dissipation curve according to estimated values of heat accumulation/dissipation at different moments; and performing circuit breaker on-off control according to the real-time heat accumulation/dissipation curve. The invention can realize the simulation of heat accumulation/dissipation of the circuit breaker and the calculation of the power-off time on the premise of not increasing hardware circuits and not needing complex software algorithms, and is simple and practical.
Description
Technical Field
The invention belongs to the technical field of circuit breaker control, and particularly relates to a circuit breaker control method and system based on an RSM prediction model.
Background
The circuit breaker is a switchgear circuit breaker capable of closing, carrying, and opening/closing a current under a normal circuit condition and a current under an abnormal circuit condition within a prescribed time. The said protector can be used to distribute electric energy, start asynchronous motor infrequently, protect power supply circuit and motor, and cut off circuit automatically when they have serious overload or short circuit and undervoltage faults. Furthermore, no parts need to be changed after breaking the fault current. In order to prevent the breaker or the motor from being burnt out due to repeated or periodic overload, the relay protection device is generally required to have better over-current switching-on and re-tripping capability, i.e. the capability of re-tripping in a short time due to over-current switching-on after tripping. Relay protection requires tracking and recording of the thermal effects of the overload current, and circuit breakers or motors trip when the accumulation of the thermal effects of the periodic overload reaches a predetermined level.
In the prior art, closed-loop adjustment is generally performed by adding a hardware circuit, so that hardware overhead is increased, and certain hysteresis exists in tracking and recording of the thermal effect of the overload current. In the production and processing processes of factories such as chip production and the like, a semi-finished product can be damaged or a chip can be scrapped due to sudden power failure or overlong power failure time, so that the power failure time needs to be reasonably controlled while a circuit is protected.
Disclosure of Invention
In view of the above, the invention provides a circuit breaker control method, a system, equipment and a storage medium based on an RSM prediction model, which are used for solving the problem that tracking records of the overload current thermal effect of the circuit breaker excessively depend on a hardware circuit, and can be applied to the fields of chip processing production and the like.
In a first aspect of the present invention, a circuit breaker control method based on an RSM prediction model is disclosed, the method comprising:
analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker, and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation;
constructing an RSM prediction model by fitting a corresponding relationship between the historical data of the influencing factors and the historical estimation data of heat accumulation/dissipation;
inputting real-time data of the influence factors of the circuit breaker at different moments into an RSM prediction model to respectively obtain estimated values of heat accumulation/dissipation at different moments;
drawing a real-time heat accumulation/dissipation curve according to estimated values of heat accumulation/dissipation at different moments;
and performing circuit breaker on-off control according to the real-time heat accumulation/dissipation curve.
Preferably, the factors influencing the heat accumulation/dissipation of the circuit breaker include:
the circuit breaker comprises a circuit breaker environment temperature, circuit breaker accumulated on-off times, overload current and duration, wherein the duration is zero when the current first exceeds a set current threshold value in a heat accumulation/dissipation period.
Preferably, the RSM prediction model is:
wherein the content of the first and second substances,
for a heat accumulation model in the RSM prediction model, for calculating an estimate of heat accumulation,
a heat dissipation model in the RSM prediction model is used for calculating an estimated value of heat dissipation;
is the ambient temperature of the circuit breaker,
The accumulated opening and closing times of the circuit breaker,
Is an overload current,
Is the duration;
as a coefficient of the heat accumulation model,
as to the coefficients of the heat dissipation model,
。
preferably, the switching-on and switching-off control of the circuit breaker according to the real-time heat accumulation/dissipation curve specifically comprises:
setting heat accumulation threshold values respectively
Heat dissipation threshold
According to the heat accumulation threshold
Heat dissipation threshold
And calculating the optimal switching-off time and switching-on time by the real-time heat accumulation curve and the real-time heat dissipation curve to perform switching-on and switching-off control on the circuit breaker.
Preferably, the calculating the optimal switching-off time and the optimal switching-on time specifically includes:
establishing switching-off time, switching-on time and heat accumulation threshold value based on curve change rates of real-time heat accumulation curve and real-time heat dissipation curve
Heat dissipation threshold
A constraint relationship between;
establishing a switching-on and switching-off time optimization model by taking the shortest power-off time and the minimum total switching-on and switching-off times as optimization targets;
and solving the minimum value of the opening and closing time optimization model to obtain the optimal opening time and closing time.
Preferably, the expression of the constraint relationship is:
wherein the content of the first and second substances,
respectively for reaching a heat accumulation threshold
Heat dissipation threshold
The time corresponds to the time of day,
the heat dissipation prediction method comprises the steps that historical data of influencing factors, corresponding historical estimation data of heat accumulation and historical estimation data of heat dissipation are obtained through prediction;
are all preset time difference values, and are all preset time difference values,
，
for the optimal switching-off time,
The optimal closing time is set.
Preferably, the expression of the switching-on/off time optimization model is as follows:
wherein the content of the first and second substances,
and accumulating the opening and closing times for the circuit breaker.
In a second aspect of the present invention, a circuit breaker control system based on RSM prediction model is disclosed, the system comprising:
a data acquisition module: analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker, and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation;
a model construction module: constructing an RSM prediction model by fitting a corresponding relationship between the historical data of the influencing factors and the historical estimation data of heat accumulation/dissipation;
a real-time prediction module: inputting real-time data of the influence factors of the circuit breaker at different moments into an RSM prediction model to respectively obtain estimated values of heat accumulation/dissipation at different moments; drawing a real-time heat accumulation/dissipation curve according to estimated values of heat accumulation/dissipation at different moments;
the separation and combination control module: and performing circuit breaker on-off control according to the real-time heat accumulation/dissipation curve.
In a third aspect of the present invention, an electronic device is disclosed, comprising: at least one processor, at least one memory, a communication interface, and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus;
the memory stores program instructions executable by the processor, which program instructions are invoked by the processor to implement the method according to the first aspect of the invention.
In a fourth aspect of the invention, a computer-readable storage medium is disclosed, which stores computer instructions for causing a computer to implement the method of the first aspect of the invention.
Compared with the prior art, the invention has the following beneficial effects:
1) factors influencing the heat accumulation/dissipation of the circuit breaker are determined through analysis, besides direct influence factors influencing the heat accumulation/dissipation of the circuit breaker, such as the overload current and the duration, potential indirect influence factors, such as the change of the temperature of the working environment and aging caused by the increase of the service life, are considered, the heat accumulation/dissipation process is closer to the actual heat accumulation/dissipation process of the circuit breaker, and the calculation of the heat accumulation/dissipation is more accurate.
2) The method comprises the steps of constructing an RSM prediction model through a response surface method, specifically constructing the RSM prediction model through the corresponding relation between the historical data of the influence factors influencing heat accumulation/dissipation and the historical estimation data of the heat accumulation/dissipation, and obtaining the estimation values of the heat accumulation/dissipation of the current circuit breaker at different moments respectively, thereby obtaining a real-time heat accumulation/dissipation curve. The method fully excavates the relation between the influence factors and the heat accumulation/dissipation data in the historical big data, can realize the simulation of the heat accumulation/dissipation of the circuit breaker on the premise of not increasing hardware circuits and not needing complex software algorithms, and is simple and practical.
3) The switching-off time, the switching-on time and the heat accumulation threshold value are constructed on the basis of the curve change rates of the real-time heat accumulation curve and the real-time heat dissipation curve
Heat dissipation threshold
A constraint relationship between; establishing a switching-on and switching-off time optimization model by taking the shortest power-off time as an optimization target; and the optimal switching-off time and the optimal switching-on time are obtained by solving the minimum value of the switching-on and switching-off time optimization model and predicting in advance. The invention can predict the switching-off time and the switching-on time by combining the curve change rates of the real-time heat accumulation curve and the real-time heat dissipation curve on the basis of the heat accumulation threshold and the heat dissipation threshold, so that the switching-off time is shortest on the basis of protecting the safety of electrical appliances, and the actual requirements of chip processing production and the like are better met.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a circuit breaker control method of the present invention;
fig. 2 is a schematic flow chart of calculating the optimal switching-off time and switching-on time according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, the present invention discloses a circuit breaker control method based on RSM prediction model, the method includes:
and S1, analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker, and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation.
The real-time overload current and the duration of the circuit breaker are direct factors influencing the heat accumulation/dissipation of the circuit breaker, and the heat accumulation/dissipation process of the circuit breaker can change along with the change of the working environment and the increase of the service life of the circuit breaker, so the influencing factors of the heat accumulation/dissipation of the circuit breaker comprise: the circuit breaker working environment temperature, the circuit breaker accumulated opening and closing times, the overload current and the duration can further comprise three-phase power, a circuit breaker topological structure, circuit breaker action time and the like, wherein the working environment temperature is different, the circuit breaker heat accumulation or dissipation rates are possibly different, the circuit breaker accumulated opening and closing times are too many to cause circuit breaker aging, and the circuit breaker heat accumulation or dissipation can also be influenced. The circuit breaker is controlled by taking the factors with larger influence such as the ambient temperature of the circuit breaker, the accumulated opening and closing times of the circuit breaker, the overload current, the duration and the like as examples. The duration is zero at the time when the current first exceeds the set current threshold within one heat accumulation/dissipation cycle, i.e., from the time when the current first exceeds the set current threshold.
S2, constructing RSM by fitting the corresponding relation between the historical data of the influencing factors and the historical estimation data of heat accumulation/dissipation (RSM)Response SurfaceMethodResponse surface method).
The RSM prediction model is as follows:
wherein the content of the first and second substances,
for a heat accumulation model in the RSM prediction model, for calculating an estimate of heat accumulation,
a heat dissipation model in the RSM prediction model is used for calculating an estimated value of heat dissipation;
is the ambient temperature of the circuit breaker,
The accumulated opening and closing times of the circuit breaker,
Is an overload current,
Is the duration;
the coefficient of the heat accumulation model is obtained by calculation of historical data of the influence factors and corresponding historical estimation data of heat accumulation;
the coefficient of the heat dissipation model is calculated by historical data of the influencing factors and corresponding historical estimation data of heat dissipation,
。
and S3, inputting the real-time data of the influence factors of the circuit breaker at different moments into an RSM prediction model, and respectively obtaining estimated values of heat accumulation/dissipation at different moments.
S4, drawing a real-time heat accumulation/dissipation curve according to the estimated values of heat accumulation/dissipation at different moments;
specifically, in one heat accumulation/dissipation period, a heat accumulation curve and a real-time heat dissipation curve are drawn in real time by taking the duration as an abscissa and taking the estimated values of heat accumulation or dissipation corresponding to different moments as an ordinate.
The method comprises the steps of constructing an RSM prediction model by a response surface method, specifically constructing the RSM prediction model by fitting the corresponding relation between historical data of influence factors influencing heat accumulation/dissipation and historical estimation data of heat accumulation/dissipation, and respectively obtaining estimated values of heat accumulation/dissipation of the current circuit breaker at different moments so as to obtain a real-time heat accumulation/dissipation curve. According to the invention, through fully mining the relation between the influence factors in the historical big data and the heat accumulation/dissipation data, the simulation of the heat accumulation/dissipation of the circuit breaker can be realized on the premise of not increasing hardware circuits and not needing complex software algorithms, and the method is simple and practical.
S5, performing circuit breaker on-off control according to the real-time heat accumulation/dissipation curve, and specifically comprising the following steps:
s51, setting heat accumulation threshold values respectively
Heat dissipation threshold
。
S52. According to heat accumulation threshold
Heat dissipation threshold
And calculating the optimal switching-off time and the optimal switching-on time by using the real-time heat accumulation curve and the real-time heat dissipation curve.
Step S52 further includes the following substeps:
s521, constructing switching-off time, switching-on time and heat accumulation threshold value based on curve change rates of real-time heat accumulation curve and real-time heat dissipation curve
Heat dissipation threshold
The constraint relationship between them.
The expression of the constraint relationship is:
wherein the content of the first and second substances,
respectively for reaching a heat accumulation threshold
Heat dissipation threshold
The time corresponds to the time of day,
the heat dissipation is predicted by historical data of the influencing factors and corresponding historical estimation data of heat accumulation and heat dissipation respectively, and specifically can be predicted by historical dataSearching a group of historical data with highest similarity to the real-time data and the variation trend of the current influence factors and highest similarity to the current real-time heat accumulation curve or heat dissipation curve in the data and historical estimation data, and predicting in advance to reach a heat accumulation threshold value according to the heat accumulation curve or the heat dissipation curve corresponding to the searched group of historical data
Heat dissipation threshold
Time corresponding to time
；
Are all preset time difference values, and are all preset time difference values,
，
for the optimal switching-off time,
The optimal closing time is set.
Due to heat accumulation threshold
Heat dissipation threshold
The heat accumulation trend is gradually reduced and is smaller than a first set value when the heat accumulation trend is gradually reduced
When the heat dissipation trend is slow and less than the second set value, the brake can be properly delayed and otherwise the brake can be opened in advance
When the valve is closed, the valve can be properly delayed, otherwise, the valve can be closed in advance, so that the valve can be closed at the preset heat accumulation threshold value
Heat dissipation threshold
And optimizing on the basis of corresponding time, and more reasonably planning the opening and closing time.
S522, establishing an opening and closing time optimization model by taking the shortest power-off time and the minimum total opening and closing times as optimization targets; the expression of the switching-on and switching-off time optimization model is as follows:
wherein the content of the first and second substances,
to be related to time
As a function of (a) or (b),
to be related to time
As a function of (a) or (b),
and accumulating the opening and closing times for the circuit breaker.
And S523, solving the minimum value of the opening and closing time optimization model to obtain the optimal opening time and closing time.
The switching-on and switching-off time optimization model
Is with respect to time
、
By solving for
The minimum value of the time is the optimal brake-separating time
Closing time
。
And S53, performing the on-off control of the breaker according to the optimal opening time and closing time.
In a conventional thermal memory protection method for a circuit breaker, a heat accumulation threshold or a heat dissipation threshold is set, the thresholds are experience thresholds, and are rarely changed once set, however, the heat accumulation or heat dissipation process of the circuit breaker changes along with the change of the working environment of the circuit breaker, aging, abrasion and the like, and the original experience threshold is often poor in effect.
Therefore, the switching-off time and the switching-on time are finely adjusted by combining the curve change rates of the real-time heat accumulation curve and the real-time heat dissipation curve on the basis of the heat accumulation threshold and the heat dissipation threshold, so that the power-off time is shortest on the basis of protecting the safety of electrical appliances, and the actual requirements are better met.
Corresponding to the above method embodiment, the present invention further provides a circuit breaker control system based on an RSM prediction model, where the system includes:
a data acquisition module: analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker, and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation;
a model construction module: constructing an RSM prediction model by fitting a corresponding relationship between the historical data of the influencing factors and the historical estimation data of heat accumulation/dissipation;
a real-time prediction module: inputting real-time data of the influence factors of the circuit breaker at different moments into an RSM prediction model to respectively obtain estimated values of heat accumulation/dissipation at different moments; drawing a real-time heat accumulation/dissipation curve according to estimated values of heat accumulation/dissipation at different moments;
the separation and combination control module: and performing circuit breaker on-off control according to the real-time heat accumulation/dissipation curve.
The present invention also discloses an electronic device, comprising: at least one processor, at least one memory, a communication interface, and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the memory stores program instructions executable by the processor, which invokes the program instructions to implement the methods of the invention described above.
The invention also discloses a computer readable storage medium which stores computer instructions for causing the computer to implement all or part of the steps of the method of the embodiment of the invention. The storage medium includes: u disk, removable hard disk, ROM, RAM, magnetic disk or optical disk, etc.
The above-described system embodiments are merely illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts shown as units may or may not be physical units, i.e. may be distributed over a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. A circuit breaker control method based on an RSM prediction model, the method comprising:
analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker, and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation;
constructing an RSM prediction model by fitting a corresponding relationship between the historical data of the influencing factors and the historical estimation data of heat accumulation/dissipation;
inputting real-time data of the influence factors of the circuit breaker at different moments into an RSM prediction model to respectively obtain estimated values of heat accumulation/dissipation at different moments;
drawing a real-time heat accumulation/dissipation curve according to estimated values of heat accumulation/dissipation at different moments;
performing circuit breaker on-off control according to the real-time heat accumulation/dissipation curve;
the control of switching on and switching off the circuit breaker according to the heat accumulation/dissipation curve specifically comprises the following steps:
setting heat accumulation threshold values respectively
Heat dissipation threshold
According to the heat accumulation threshold
Heat dissipation threshold
Calculating the optimal switching-off time and switching-on time according to the real-time heat accumulation curve and the real-time heat dissipation curvePerforming circuit breaker on-off control;
the calculating of the optimal switching-off time and the optimal switching-on time specifically comprises the following steps:
establishing switching-off time, switching-on time and heat accumulation threshold value based on curve change rates of real-time heat accumulation curve and real-time heat dissipation curve
Heat dissipation threshold
A constraint relationship between; establishing a switching-on and switching-off time optimization model by taking the shortest power-off time as an optimization target; and solving the minimum value of the opening and closing time optimization model to obtain the optimal opening time and closing time.
2. The RSM predictive model-based circuit breaker control method of claim 1, wherein the influencing factors of circuit breaker heat accumulation/dissipation include:
the circuit breaker comprises a circuit breaker environment temperature, circuit breaker accumulated on-off times, overload current and duration, wherein the duration is zero when the current first exceeds a set current threshold value in a heat accumulation/dissipation period.
3. The circuit breaker control method based on the RSM prediction model according to claim 2, wherein the RSM prediction model is:
wherein the content of the first and second substances,
for a heat accumulation model in the RSM prediction model, for calculating an estimate of heat accumulation,
a heat dissipation model in the RSM prediction model is used for calculating an estimated value of heat dissipation;
is the ambient temperature of the circuit breaker,
The accumulated opening and closing times of the circuit breaker,
Is an overload current,
Is the duration;
as a coefficient of the heat accumulation model,
as to the coefficients of the heat dissipation model,
。
4. the RSM predictive model-based circuit breaker control method of claim 1, wherein the constraint relationship is expressed as:
wherein the content of the first and second substances,
respectively for reaching a heat accumulation threshold
Heat dissipation threshold
The time corresponds to the time of day,
the heat dissipation prediction method comprises the steps that historical data of influencing factors, corresponding historical estimation data of heat accumulation and historical estimation data of heat dissipation are obtained through prediction;
are all preset time difference values, and are all preset time difference values,
，
for the optimal switching-off time,
The optimal closing time is set.
5. The circuit breaker control method based on the RSM prediction model according to claim 4, wherein the expression of the switching-on and switching-off time optimization model is as follows:
wherein the content of the first and second substances,
and accumulating the opening and closing times for the circuit breaker.
6. A circuit breaker control system based on an RSM predictive model, the system comprising:
a data acquisition module: the circuit breaker heat accumulation and dissipation monitoring system is used for analyzing and determining factors influencing heat accumulation/dissipation of the circuit breaker and acquiring historical data of the influencing factors and corresponding historical estimation data of the heat accumulation/dissipation;
a model construction module: for constructing an RSM prediction model by fitting a correspondence between the history data of the influencing factors and the history estimation data of heat accumulation/dissipation;
a real-time prediction module: the circuit breaker real-time data acquisition and prediction model is used for inputting the real-time data of the influence factors of the circuit breaker at different moments into the RSM prediction model to respectively obtain estimated values of heat accumulation/dissipation at different moments; drawing a real-time heat accumulation/dissipation curve according to estimated values of heat accumulation/dissipation at different moments;
the separation and combination control module: the circuit breaker is used for performing on-off control on the circuit breaker according to the real-time heat accumulation/dissipation curve;
the control of switching on and switching off the circuit breaker according to the heat accumulation/dissipation curve specifically comprises the following steps:
setting heat accumulation threshold values respectively
Heat dissipation threshold
According to the heat accumulation threshold
Heat dissipation threshold
Calculating the optimal switching-off time and switching-on time by the real-time heat accumulation curve and the real-time heat dissipation curve, and performing switching-on and switching-off control on the circuit breaker;
the calculating of the optimal switching-off time and the optimal switching-on time specifically comprises the following steps:
establishing switching-off time, switching-on time and heat accumulation threshold value based on curve change rates of real-time heat accumulation curve and real-time heat dissipation curve
Heat dissipation threshold
A constraint relationship between; establishing a switching-on and switching-off time optimization model by taking the shortest power-off time as an optimization target; and solving the minimum value of the opening and closing time optimization model to obtain the optimal opening time and closing time.
7. An electronic device, comprising: at least one processor, at least one memory, a communication interface, and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus;
the memory stores program instructions executable by the processor, the processor invoking the program instructions to implement the method of any one of claims 1-5.
8. A computer readable storage medium storing computer instructions which cause a computer to implement the method of any one of claims 1 to 5.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102623956A (en) * | 2012-04-26 | 2012-08-01 | 德中利德(天津)生物技术有限公司 | 60-DEG C thermal circuit breaker |
| CN104657908A (en) * | 2014-11-12 | 2015-05-27 | 国家电网公司 | New breaker heating amount calculating method |
| CN106877502A (en) * | 2017-03-07 | 2017-06-20 | 江苏国网自控科技股份有限公司 | A kind of microcomputer protection system and its control method for realizing temperature look-ahead and alarm |
| CN109284863A (en) * | 2018-09-04 | 2019-01-29 | 南京理工大学 | A kind of power equipment temperature predicting method based on deep neural network |
| CN112668250A (en) * | 2019-10-16 | 2021-04-16 | 达索系统西姆利亚公司 | Method and apparatus for automated engine compartment thermal modeling |
| CN112904193A (en) * | 2021-01-22 | 2021-06-04 | 国网黑龙江省电力有限公司大庆供电公司 | High tension switchgear contact temperature fault monitoring system |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10700523B2 (en) * | 2017-08-28 | 2020-06-30 | General Electric Company | System and method for distribution load forecasting in a power grid |
| CN108446795B (en) * | 2018-02-28 | 2020-11-17 | 广东电网有限责任公司电力调度控制中心 | Power system load fluctuation analysis method and device and readable storage medium |
-
2021
- 2021-06-21 CN CN202110686509.6A patent/CN113253613B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102623956A (en) * | 2012-04-26 | 2012-08-01 | 德中利德(天津)生物技术有限公司 | 60-DEG C thermal circuit breaker |
| CN104657908A (en) * | 2014-11-12 | 2015-05-27 | 国家电网公司 | New breaker heating amount calculating method |
| CN106877502A (en) * | 2017-03-07 | 2017-06-20 | 江苏国网自控科技股份有限公司 | A kind of microcomputer protection system and its control method for realizing temperature look-ahead and alarm |
| CN109284863A (en) * | 2018-09-04 | 2019-01-29 | 南京理工大学 | A kind of power equipment temperature predicting method based on deep neural network |
| CN112668250A (en) * | 2019-10-16 | 2021-04-16 | 达索系统西姆利亚公司 | Method and apparatus for automated engine compartment thermal modeling |
| CN112904193A (en) * | 2021-01-22 | 2021-06-04 | 国网黑龙江省电力有限公司大庆供电公司 | High tension switchgear contact temperature fault monitoring system |
Non-Patent Citations (3)
| Title |
|---|
| 220kV瓷柱式断路器修正热路模型研究;孙凯祺等;《华东电力》;20130624(第06期);全文 * |
| 异步电动机定子绕组动态热特性及其离散算法;杨明发等;《中国电机工程学报》;20130825(第24期);全文 * |
| 微型断路器中电热式电流检测参数辨识研究;和嘉宇等;《电气技术》;20200615(第06期);全文 * |
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