CN111504503A - Cooling control system of power transformer - Google Patents
Cooling control system of power transformer Download PDFInfo
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- CN111504503A CN111504503A CN202010348965.5A CN202010348965A CN111504503A CN 111504503 A CN111504503 A CN 111504503A CN 202010348965 A CN202010348965 A CN 202010348965A CN 111504503 A CN111504503 A CN 111504503A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
Abstract
The embodiment of the invention discloses a cooling control system of a power transformer, which comprises: the database module is used for storing the daily temperature change data of the transformer and making the corresponding temperature change data of the transformer into a corresponding temperature change curve for storage; the temperature monitoring module monitors the temperature in the transformer in real time through the temperature sensor group and transmits the monitored temperature data to the database module for storage; according to the invention, the past data is analyzed by the analysis and prediction module, the model is established to predict the temperature change of the transformer in the next stage, the predicted temperature rise curve is used for sending an instruction to the temperature reduction system, the starting condition of the temperature reduction system is changed, the temperature reduction system is started to reduce the temperature before the temperature in the transformer rises rapidly, the temperature rise in the transformer is inhibited in advance, and the temperature reduction efficiency of the temperature reduction system is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of transformers, in particular to a cooling control system of a power transformer.
Background
The transformer is a device for changing AC voltage by utilizing the principle of electromagnetic induction, the main components are a primary coil, a secondary coil and an iron core, the oil-immersed transformer is a novel high-performance transformer with more reasonable structure and better performance, and is suitable for the transformation of power grids of urban and rural and industrial and mining enterprises and the transformation of combined transformers and pre-installed substations.
The existing oil-immersed self-cooling transformer is higher in ambient temperature or accords with under the great condition, the heat that the inside of transformer produced can not in time volatilize through the fin, make inside oil temperature higher, in order to reduce the inside oil temperature of transformer, current transformer generally adopts cooling device and assists the cooling to the transformer according to the real-time change of the interior oil temperature of transformer, but the maximum power of cooling device is certain, can cool down when the transformer normally works, when the long-time overload work of transformer or ambient temperature are higher, transformer programming rate is too fast, the condition that operating power is not enough can appear when the cooling device uses, relatively poor to the cooling effect of transformer, therefore, need to design a power transformer's cooling control system.
Disclosure of Invention
Therefore, the embodiment of the invention provides a cooling control system of a power transformer, which solves the problems that the working power of the cooling system is insufficient and the cooling effect is poor when the environment temperature is high or the transformer works under a large load because the existing cooling system of the transformer controls the cooling system to work according to the real-time change of the internal temperature of the transformer.
In order to achieve the above object, an embodiment of the present invention provides the following:
a cooling control system for a power transformer, comprising:
the database module is used for storing the daily temperature change data of the transformer and making the corresponding temperature change data of the transformer into a corresponding temperature change curve for storage;
the temperature monitoring module monitors the temperature in the transformer in real time through the temperature sensor group and transmits the monitored temperature data to the database module for storage;
and the analysis and prediction module is used for receiving the temperature data monitored by the temperature detection module, converting the temperature data received in the period of time into a real-time temperature change curve, calling the temperature change curve data of the transformer in the database module to compare with the real-time temperature change curve for analysis, predicting the temperature rise curve of the next stage of the transformer according to the comparison and analysis result, and sending a corresponding instruction signal to the temperature reduction system according to the predicted temperature rise curve.
Optionally, the sending a corresponding instruction signal to the cooling system according to the predicted temperature-rise curve specifically includes:
the temperature rise curve predicts the rapid temperature rise of the transformer in the next stage, and the analysis prediction module sends out an instruction signal for starting the cooling system in advance;
the temperature rising curve predicts the temperature rising smoothness of the transformer at the next stage, and the analysis prediction module sends out a command signal for normal starting of the cooling system;
and the temperature-rising curve predicts that the transformer does not rise temperature in the next stage, and the analysis prediction module sends out a command signal for the temperature-lowering system to enter the dormant state.
Optionally, the temperature change curve data of the transformer in the database module includes temperature change curve data of the transformer in the same time period within a period of time and temperature change curve data of the transformer on the same date within a plurality of years.
Optionally, the effective time length of the temperature-raising curve of the next stage is a fixed value.
Optionally, the system further comprises an instruction correction module, wherein the instruction correction module is configured to monitor whether an actual temperature change curve in the transformer is consistent with a predicted transformer temperature rise curve within an effective time period:
the actual temperature change curve of the transformer in the effective time length is in accordance with the predicted temperature rise curve, and the instruction correction module does not send an instruction correction signal;
and the actual temperature change curve of the transformer in the effective time length is not in accordance with the predicted temperature rise curve, the instruction correction module sends an instruction correction signal to the analysis prediction module, the analysis prediction module predicts the temperature rise curve again and corrects the instruction signal, and all generated data are stored in the database module.
Optionally, the database module includes local library module and high in the clouds storehouse module, local library module is used for storing local transformer temperature variation per day and temperature change curve data per day, and local library module uploads the temperature data of inside storage to high in the clouds storehouse module and stores, the high in the clouds storehouse is used for transferring transformer temperature variation per day and temperature change curve data per day and the storage under the similar operational environment in other areas from the high in the clouds.
Optionally, the data, which is stored in the database module and does not conform to the real-time temperature change curve of the transformer, in the temperature rise curve is used for correcting and correcting the model and the temperature rise curve when the analysis and prediction module establishes the temperature rise curve of the model prediction transformer.
Optionally, the temperature monitoring module includes a threshold value determination module for monitoring whether the temperature of the transformer reaches a preset temperature threshold value, when the temperature of the transformer reaches the temperature threshold value and the cooling system is in a sleep state, the threshold value determination module sends an execution instruction, and the cooling system receives the execution instruction and is normally started to work when the execution instruction is separated from the sleep state.
Optionally, the instruction correction module and the threshold value determination module operate simultaneously;
when the boundary value judgment module monitors that the temperature of the transformer reaches a preset temperature boundary value, and the instruction correction module monitors that the temperature change curve of the transformer does not accord with the predicted temperature rise curve, the execution instruction of the boundary value judgment module is executed preferentially.
Optionally, the priority of the execution instruction sent by the boundary value determination module is highest, and when the cooling system receives a plurality of instruction signals at the same time, only the execution instruction sent by the boundary value determination module is executed.
The embodiment of the invention has the following advantages:
according to the invention, the past data is analyzed by the analysis and prediction module, the model is established to predict the temperature change of the transformer in the next stage, the predicted temperature rise curve is used for sending an instruction to the temperature reduction system, the starting condition of the temperature reduction system is changed, the temperature reduction system is started to reduce the temperature before the temperature in the transformer rises rapidly, the temperature rise in the transformer is inhibited in advance, and the temperature reduction efficiency of the temperature reduction system is improved.
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, and 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 these drawings without inventive exercise.
Fig. 1 is a schematic block diagram of a cooling control system of a power transformer according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a database module in an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.
As shown in fig. 1 and 2, the present invention provides a cooling control system for a power transformer, including:
the database module is used for storing the daily temperature change data of the transformer and making the corresponding temperature change data of the transformer into a corresponding temperature change curve for storage;
the temperature monitoring module monitors the temperature in the transformer in real time through the temperature sensor group and transmits the monitored temperature data to the database module for storage;
and the analysis and prediction module is used for receiving the temperature data monitored by the temperature detection module, converting the temperature data received in the period of time into a real-time temperature change curve, calling the temperature change curve data of the transformer in the database module to compare and analyze with the existing real-time temperature change curve, predicting the temperature rise curve of the next stage of the transformer according to the comparison and analysis result, and sending a corresponding instruction signal to the temperature reduction system according to the predicted temperature rise curve.
In the embodiment of the invention, the temperature monitoring module monitors the temperature in the transformer in real time and feeds the temperature back to the analysis and prediction module in real time, and the analysis and prediction module processes the received temperature data and converts the temperature data into the temperature change curve of the transformer.
The analysis and prediction module is used for carrying out model establishment by utilizing data of a temperature change curve of the transformer called from the database module, analyzing and processing the temperature change data converted by processing the received real-time temperature data by utilizing the established model, giving a temperature rise curve of the temperature change of the transformer in the next stage according to the analysis result of the model, predicting the temperature change condition in the transformer in the next stage, sending a corresponding instruction signal to the cooling system according to the change of the temperature rise curve, and making corresponding action after the cooling system receives the instruction signal.
The database module collects and arranges the data monitored by the temperature monitoring module, arranges the transformer temperature data monitored on the same day into corresponding temperature change curves and stores the temperature change curves, the stored temperature data is used for establishing an analysis and prediction module model and predicting a heating curve, and only a large amount of models established on the basis of data and predicted results are accurate.
The temperature-rising curve predicted by the analysis prediction module comprises three prediction results of rapid temperature rise, flat temperature rise and no temperature rise of the transformer at the next stage:
the temperature rise curve predicts the rapid temperature rise of the transformer in the next stage, and the analysis prediction module sends out an instruction signal for starting the cooling system in advance;
the temperature rising curve predicts the temperature rising smoothness of the transformer at the next stage, and the analysis prediction module sends out a command signal for normal starting of the cooling system;
and the temperature-rising curve predicts that the transformer does not rise temperature in the next stage, and the analysis prediction module sends out a command signal for the temperature-lowering system to enter the dormant state.
And the three prediction results correspond to three different starting modes of the cooling system by matching the predicted temperature rising curve with the actual temperature trend inside the transformer.
The transformer rapid heating up of next stage is predicated, the cooling system is started before the transformer rapid heating up, the cooling system cools down the inside of the transformer in advance, the temperature rise inside the transformer is restrained, the problem that the cooling effect of the cooling system is lower after the temperature inside the transformer rapidly rises is avoided, the cooling system has a better cooling effect when the temperature inside the transformer is lower, the working efficiency is higher, and the high-load work of the cooling system cannot be caused.
And the cooling system is started in time through the prediction of the temperature rise curve, so that the cooling system does not need to be started all the time, the resource waste is caused when the cooling system is started, the cooling system can be dormant when the temperature rise is avoided in the next stage of the transformer, and the energy is saved.
The analysis and prediction module calls the transformer temperature change curve data stored in the database module, wherein the transformer temperature change curve data stored in the database module comprise transformer temperature change curve data in the same time period in a period of time and transformer temperature change curve data in the same date in a plurality of years, and the analysis and prediction module establishes a model for the called temperature change curve data, then compares the model with the real-time temperature change curve data of the transformer, analyzes the model and predicts the temperature change of the transformer in the next stage.
The analysis and prediction module predicts the effective time length of the temperature-rising curve of the temperature change of the transformer at the next stage to be a fixed value, and the analysis and prediction module re-analyzes and predicts the temperature-rising curve of the transformer at the next stage after the effective time length and sends a corresponding instruction signal.
In order to ensure the accuracy of the predicted temperature-rising curve, a time limit is set for the limited time length of the temperature-rising curve, the accuracy of the temperature-rising curve is higher as the time is shorter, and the prediction needs to be carried out again after the effective time length to ensure the accurate operation of the whole system and the accurate start and sleep of the transformer temperature-reducing system.
The cooling control system further comprises an instruction correction module, wherein the instruction correction module is used for monitoring whether an actual temperature change curve in the transformer is consistent with a predicted transformer heating curve or not within the effective time length:
the actual temperature change curve of the transformer in the effective time length is in accordance with the predicted temperature rise curve, and the instruction correction module does not send an instruction correction signal;
and the actual temperature change curve of the transformer in the effective time length is not in accordance with the predicted temperature rise curve, the instruction correction module sends an instruction correction signal to the analysis prediction module, the analysis prediction module predicts the temperature rise curve again and corrects the instruction signal, and all generated data are stored in the database module.
Because the analysis and prediction module predicts the temperature change of the next stage in the transformer based on the existing temperature data, the prediction result is definitely divided into accurate and inaccurate, and when the temperature-rising curve predicted by the analysis and prediction module conforms to the change of the temperature in the transformer, the instruction correction module does not send any instruction signal.
When the temperature-rising curve in the effective time length is not consistent with the real-time temperature change curve in the transformer, the instruction correction module immediately sends an instruction signal, the analysis and prediction module recalls the temperature data to predict a new temperature-rising curve, and the effective time length is redefined to begin.
The instruction correction module is used for ensuring that the transformer can obtain a better cooling effect under the condition of the temperature-rising curve predicted by the analysis prediction module, correcting the temperature-rising curve predicted by the analysis prediction module in time and avoiding that an instruction signal sent by the analysis prediction module under the temperature-rising curve with a wrong prediction is continuously executed to influence the starting of a cooling system in the transformer.
The database module comprises a local database module and a cloud database module, the local database module is used for storing daily temperature change of the local transformer and daily temperature change curve data, the local database module uploads the internally stored temperature data to the cloud database module for storage, and the cloud database is used for calling and storing daily temperature change of the transformer and daily temperature change curve data under similar working environments in other areas from the cloud.
The local library module is used for storing the temperature change data of the current transformer, uploading the stored temperature change data to a cloud end, so that the cloud end is called as a cloud end for use, and the cloud end library module of other transformers is used for calling, so that the data owned by the whole intelligent control system is larger, and the obtained temperature rise prediction curve is more accurate.
And the data of the temperature-rise curve predicted within the effective time length and not conforming to the real-time temperature change curve of the transformer, which is stored in the database module, is used for correcting and rectifying the model and the temperature-rise curve when the analysis and prediction module establishes the model for predicting the temperature-rise curve of the transformer.
The predicted temperature-rising curve does not accord with the real-time temperature change curve of the transformer, so that the data of the command signal is predicted again and corrected, and can be used for modifying and correcting the model next time, the model is improved in continuous modification and correction, and the predicted temperature-rising curve is more accurate.
The temperature monitoring module further comprises a threshold value judging module used for monitoring whether the temperature of the transformer reaches a preset temperature threshold value, when the temperature of the transformer reaches the temperature threshold value and the cooling system is in a dormant state, the threshold value judging module sends out an execution instruction, and the cooling system receives the execution instruction and is normally started to work when the execution instruction is separated from the dormant state.
In order to avoid that the temperature reduction system is not started in time when the temperature inside the transformer rises due to the accuracy problem of the temperature rise curve predicted by the analysis and prediction module, so that the temperature inside the transformer is overhigh and the normal operation of the transformer is influenced, a temperature threshold value is preset by the threshold value judgment module, and when the temperature inside the transformer reaches the preset value, an execution instruction sent by the threshold value judgment module is directly executed no matter how the instruction signal of the analysis and prediction module is, so that the temperature reduction system is ensured to be started when the temperature inside the transformer reaches a certain value.
The instruction correction module and the boundary value judgment module operate simultaneously, the boundary value judgment module monitors that the temperature of the transformer reaches a temperature boundary value preset by the boundary value judgment module, and when the instruction correction module monitors that a temperature change curve of the transformer does not accord with a predicted temperature rise curve, an execution instruction of the boundary value judgment module is executed preferentially.
The control system is prevented from executing two instructions simultaneously, so that the cooling system executing instruction is failed, the executing instruction of the threshold value judging module is only one guarantee instruction, and the priority of the sent instruction is higher than the instruction signal of the instruction correcting module.
The priority of the execution instruction sent by the boundary value judgment module is highest, and when the cooling system receives a plurality of instruction signals at the same time, only the execution instruction sent by the boundary value judgment module is executed.
And the boundary value judging module is used for ensuring the normal operation of the cooling system when the temperature in the transformer rises, so that the sent instruction has the highest operation permission.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A cooling control system of a power transformer, comprising:
the database module is used for storing the daily temperature change data of the transformer and making the corresponding temperature change data of the transformer into a corresponding temperature change curve for storage;
the temperature monitoring module monitors the temperature in the transformer in real time through the temperature sensor group and transmits the monitored temperature data to the database module for storage;
and the analysis and prediction module is used for receiving the temperature data monitored by the temperature detection module, converting the temperature data received in the period of time into a real-time temperature change curve, calling the temperature change curve data of the transformer in the database module to compare with the real-time temperature change curve for analysis, predicting the temperature rise curve of the next stage of the transformer according to the comparison and analysis result, and sending a corresponding instruction signal to the temperature reduction system according to the predicted temperature rise curve.
2. The cooling control system of a power transformer according to claim 1, wherein the sending of the corresponding command signal to the cooling system according to the predicted temperature-rise curve specifically includes:
the temperature rise curve predicts the rapid temperature rise of the transformer in the next stage, and the analysis prediction module sends out an instruction signal for starting the cooling system in advance;
the temperature rising curve predicts the temperature rising smoothness of the transformer at the next stage, and the analysis prediction module sends out a command signal for normal starting of the cooling system;
and the temperature-rising curve predicts that the transformer does not rise temperature in the next stage, and the analysis prediction module sends out a command signal for the temperature-lowering system to enter the dormant state.
3. The cooling control system of the power transformer according to claim 2, wherein the temperature change curve data of the transformer in the database module comprises the temperature change curve data of the transformer in the same time period in a period of time and the temperature change curve data of the transformer in the same date in a plurality of years.
4. The cooling control system for power transformer according to claim 3, wherein the effective time length of the heating curve of the next stage is constant.
5. The cooling control system for power transformer according to claim 4, further comprising an instruction correction module for monitoring whether the actual temperature variation curve in the transformer is consistent with the predicted transformer heating curve for the effective time period:
the actual temperature change curve of the transformer in the effective time length is in accordance with the predicted temperature rise curve, and the instruction correction module does not send an instruction correction signal;
and the actual temperature change curve of the transformer in the effective time length is not in accordance with the predicted temperature rise curve, the instruction correction module sends an instruction correction signal to the analysis prediction module, the analysis prediction module predicts the temperature rise curve again and corrects the instruction signal, and all generated data are stored in the database module.
6. The cooling control system of the power transformer according to claim 1, wherein the database module comprises a local database module and a cloud database module, the local database module is used for storing daily temperature change and daily temperature change curve data of the local transformer, the local database module uploads the internally stored temperature data to the cloud database module for storage, and the cloud database is used for retrieving and storing daily temperature change and daily temperature change curve data of the transformer under similar working environments in other regions from the cloud.
7. The cooling control system of the power transformer as claimed in claim 6, wherein the data of the heating curves stored in the database module, which do not conform to the real-time temperature variation curve of the transformer, are used for correcting and rectifying the model and the heating curves when the analysis and prediction module establishes the model prediction transformer heating curves.
8. The cooling control system of the power transformer according to claim 1, wherein the temperature monitoring module includes a threshold value determining module for monitoring whether the temperature of the transformer reaches a preset temperature threshold value, when the temperature of the transformer reaches the temperature threshold value and the cooling system is in a sleep state, the threshold value determining module issues an execution instruction, and the cooling system receives the execution instruction and is normally started to operate in a state of being out of the sleep state.
9. The cooling control system of the power transformer according to claim 8, wherein the command correction module and the threshold value determination module operate simultaneously;
when the boundary value judgment module monitors that the temperature of the transformer reaches a preset temperature boundary value, and the instruction correction module monitors that the temperature change curve of the transformer does not accord with the predicted temperature rise curve, the execution instruction of the boundary value judgment module is executed preferentially.
10. The cooling control system for a power transformer according to claim 9, wherein the priority of the execution command sent by the threshold value determination module is highest, and when the cooling system receives a plurality of command signals at the same time, only the execution command sent by the threshold value determination module is executed.
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| CN202010348965.5A CN111504503A (en) | 2020-04-28 | 2020-04-28 | Cooling control system of power transformer |
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| CN202010348965.5A CN111504503A (en) | 2020-04-28 | 2020-04-28 | Cooling control system of power transformer |
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Citations (5)
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| CN101943921A (en) * | 2010-08-10 | 2011-01-12 | 西安市双合软件技术有限公司 | Intelligent control method and intelligent control device of transformer cooling system |
| CN205620746U (en) * | 2016-05-09 | 2016-10-05 | 国网宁夏电力公司检修公司 | Accurate intelligent control device of transformer cooler based on AD sampling |
| CN106482844A (en) * | 2016-10-09 | 2017-03-08 | 国网山东省电力公司东营供电公司 | A kind of equipment method for early warning and system based on temperature survey and the season temperature difference |
| JP2017161382A (en) * | 2016-03-10 | 2017-09-14 | 新日鐵住金株式会社 | Estimation method of surface heat flux of heat treatment member |
| CN110726494A (en) * | 2019-11-27 | 2020-01-24 | 成都比善科技开发有限公司 | High-voltage switch cabinet temperature monitoring system and monitoring method |
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2020
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101943921A (en) * | 2010-08-10 | 2011-01-12 | 西安市双合软件技术有限公司 | Intelligent control method and intelligent control device of transformer cooling system |
| JP2017161382A (en) * | 2016-03-10 | 2017-09-14 | 新日鐵住金株式会社 | Estimation method of surface heat flux of heat treatment member |
| CN205620746U (en) * | 2016-05-09 | 2016-10-05 | 国网宁夏电力公司检修公司 | Accurate intelligent control device of transformer cooler based on AD sampling |
| CN106482844A (en) * | 2016-10-09 | 2017-03-08 | 国网山东省电力公司东营供电公司 | A kind of equipment method for early warning and system based on temperature survey and the season temperature difference |
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