CN112082670A - Distributed optical fiber sensing-based method and system for judging temperature rise state of transformer winding - Google Patents
Distributed optical fiber sensing-based method and system for judging temperature rise state of transformer winding Download PDFInfo
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Abstract
The invention discloses a method and a system for judging the temperature rise state of a transformer winding based on distributed optical fiber sensing, wherein the method comprises the following steps: collecting temperature rise data of each level of the multi-level transformer through a distributed optical fiber; carrying out effectiveness analysis on the acquired temperature rise data and the historical temperature rise data of each level, and judging whether the acquired temperature rise data of each level is abnormal temperature rise data or not; when the collected temperature rise data is non-abnormal temperature rise data, determining a real-time load temperature rise threshold value of a corresponding level of the collected temperature rise data according to a rated temperature rise threshold value of the corresponding level of the collected temperature rise data and real-time operation load data; and comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
Description
Technical Field
The invention relates to the technical field of judgment of abnormal temperature rise states of transformer windings, in particular to a method and a system for judging the temperature rise state of a transformer winding based on distributed optical fiber sensing.
Background
The oil-immersed power transformer is one of core devices in a power transmission and transformation system, and the stable operation of the oil-immersed power transformer has very important influence on the safety and reliability of the system. When the temperature of the inner winding of the transformer is too high (for example, more than 140 ℃), air bubbles may appear on the surface of the inner structural part, which causes a significant decrease in the insulation strength, and the mechanical performance of the transformer may also temporarily deteriorate at higher temperatures, which may reduce the short-circuit mechanical strength of the transformer. Therefore, the temperature rise condition of the transformer under a load state is well controlled, the insulation aging degree of the transformer can be effectively reduced, and the safe and reliable operation of the transformer is ensured. Therefore, a method for judging the abnormal temperature rise state of the transformer winding is urgently needed to be established to determine the temperature rise state of the transformer. At present, some domestic research institutions carry out some researches on the temperature rise of the transformer winding, and the estimation on the temperature distribution condition in the transformer and the temperature rise of the transformer winding also has certain effects, but the following problems still exist at present:
although the temperature rise of the transformer winding can be directly measured by adopting the common optical fiber, the internal structure of the transformer is complex, and the temperature rise state of the transformer can not be ensured at the position where the optical fiber is installed at present.
According to GB/T1094.7-2008 power transformer part 7: the load guide rule of the oil-immersed power transformer is calculated, the temperature rise error calculated according to the guide rule parameters is large, and the temperature rise state of each layer of winding cannot be reflected.
Most transformer temperature rise abnormity judging methods select a fixed transformer factory hot point temperature rise threshold value for judgment, and abnormal temperature rise states of non-hot point positions can be missed.
In recent years, a large number of air-cooled and self-cooled transformers are adopted, but research institutions and manufacturers have insufficient research depths on oil flow distribution, oil passage design, thermal mechanism and the like, and in order to ensure safe operation, conservative strategies have to be adopted, namely the design margin of the manufacturers is increased, the operation limit value of an operation unit is strictly controlled, the bearing capacity of the transformers is limited to a certain extent, and the potential of the transformers is wasted.
Therefore, a technique is needed to determine the abnormal temperature rise state of the transformer winding.
Disclosure of Invention
The technical scheme of the invention provides a method and a system for judging the temperature rise state of a transformer winding based on distributed optical fiber sensing, which aim to solve the problem of judging the temperature rise state of the transformer winding.
In order to solve the above problem, the present invention provides a method for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing, wherein the method comprises:
collecting temperature rise data of each level of the multi-level transformer through a distributed optical fiber;
carrying out effectiveness analysis on the acquired temperature rise data and the historical temperature rise data of each level, and judging whether the acquired temperature rise data of each level is abnormal temperature rise data or not;
when the collected temperature rise data is non-abnormal temperature rise data, determining a real-time load temperature rise threshold value of a corresponding level of the collected temperature rise data according to a rated temperature rise threshold value of the corresponding level of the collected temperature rise data and real-time operation load data;
and comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
Preferably, before collecting temperature rise data of each of the multiple levels of the distributed optical fiber winding, the method further includes:
collecting real-time operation load data and judging whether the real-time operation load data is normal or not;
and when the real-time operation load data is normal, judging whether the distributed optical fiber communication state is normal.
Preferably, before collecting temperature rise data of each of the multiple levels of the distributed optical fiber winding, the method further includes:
when the distributed optical fiber communication state is normal, reading the temperature rise test data of the transformer;
and determining a rated temperature rise threshold value of each level of the transformer according to the temperature rise test data of the transformer.
Preferably, the method further comprises the following steps: and acquiring the real-time operation load data, and determining the real-time load rate of the transformer according to the real-time operation load data and the rated current of the transformer.
Preferably, the real-time load temperature rise threshold is a rated temperature rise threshold and the real-time load rate is lower than the rated temperature rise threshold.
Based on another aspect of the present invention, the present invention provides a system for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing, where the system includes:
the acquisition unit is used for acquiring acquisition temperature rise data of each level of the multi-level transformer through the distributed optical fiber;
the first judgment unit is used for carrying out effectiveness analysis on the acquired temperature rise data and historical temperature rise data of each level and judging whether the acquired temperature rise data of each level is abnormal temperature rise data or not;
the determining unit is used for determining the real-time load temperature rise threshold of the corresponding level of the acquired temperature rise data according to the rated temperature rise threshold of the corresponding level of the acquired temperature rise data and the real-time operation load data when the acquired temperature rise data is non-abnormal temperature rise data;
and the second judging unit is used for comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
Preferably, the method further comprises an initial unit for: collecting real-time operation load data and judging whether the real-time operation load data is normal or not;
and when the real-time operation load data is normal, judging whether the distributed optical fiber communication state is normal.
Preferably, the initial unit is further configured to: when the distributed optical fiber communication state is normal, reading the temperature rise test data of the transformer;
and determining a rated temperature rise threshold value of each level of the transformer according to the temperature rise test data of the transformer.
Preferably, the initial unit is further configured to: and acquiring the real-time operation load data, and determining the real-time load rate of the transformer according to the real-time operation load data and the rated current of the transformer.
Preferably, the real-time load temperature rise threshold is a rated temperature rise threshold and the real-time load rate is lower than the rated temperature rise threshold.
The technical scheme of the invention provides a method and a system for judging the temperature rise state of a transformer winding based on distributed optical fiber sensing, wherein the method comprises the following steps: collecting temperature rise data of each level of the multi-level transformer through a distributed optical fiber; carrying out effectiveness analysis on the collected temperature rise data and the historical temperature rise data of each level, and judging whether the collected temperature rise data of each level is abnormal temperature rise data or not; when the collected temperature rise data is non-abnormal temperature rise data, determining a real-time load temperature rise threshold value of a corresponding level of the collected temperature rise data according to a rated temperature rise threshold value of the corresponding level of the collected temperature rise data and real-time operation load data; and comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold. The invention relates to a distributed optical fiber sensing-based method for judging the abnormal state of a transformer winding, which realizes the complete measurement of the temperature rise of the transformer winding through distributed optical fibers, can accurately master the temperature rise of each layer of winding, combines the design, manufacture and factory test parameters of a transformer, and is based on the part 7 of a GB/T1094.7-2008 power transformer: the temperature rise limit value is calculated according to the load guide rule of the oil-immersed power transformer, the mode of the temperature rise interval of each layer of winding is determined, and the temperature rise state of the transformer is judged, so that the loss of the transformer is reduced, the capacity potential of the transformer is fully exerted, the transmission capacity of a power grid is improved, and the service life of equipment is guaranteed.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a flowchart of a method for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing according to a preferred embodiment of the present invention;
fig. 2 is a flowchart of a method for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing according to a preferred embodiment of the present invention;
FIG. 3 is a schematic diagram of data collected by the method for determining an abnormal temperature rise state of a transformer winding according to the preferred embodiment of the present invention; and
fig. 4 is a structural diagram of a system for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing according to a preferred embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a method for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing according to a preferred embodiment of the present invention. The invention provides a method for judging the abnormal temperature rise state of a transformer winding based on distributed optical fiber sensing. In the judging process, the real-time operation load rate and the operation optical fiber winding temperature data of the transformer are considered, the real-time temperature rise threshold value of the transformer is calculated by combining the design parameters and the temperature rise test parameters of the transformer, the real-time temperature rise of each layer of the operation of the transformer is acquired by using the distributed optical fiber, the real-time temperature rise of each layer of the operation of the transformer is compared with the designed maximum capacity, and whether the temperature rise state of the transformer is in an abnormal state or not is determined. Before the temperature rise state of the transformer is judged, the running state information of the transformer, such as the load state, the optical fiber state, the temperature rise interval state data and the like of the transformer, needs to be checked, and when the running state of the transformer is abnormal, a mobilizing person should be prompted to be incapable of judging the temperature rise. As shown in fig. 1, the present invention provides a method for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing, which includes:
preferably, before collecting the temperature rise data of each of the multiple levels of the distributed optical fiber winding, the method further includes:
acquiring real-time operation load data of the transformer, and judging whether the real-time operation load data is normal or not;
and when the real-time operation load data is normal, judging whether the distributed optical fiber communication state is normal.
Preferably, before collecting the temperature rise data of each of the multiple levels of the distributed optical fiber winding, the method further includes:
reading the temperature rise test data of the transformer when the distributed optical fiber communication state is normal;
and determining a rated temperature rise threshold value of each level of the transformer according to the temperature rise test data of the transformer.
Preferably, real-time operation load data are collected, and the real-time load rate of the transformer is determined according to the real-time operation load data and the rated current of the transformer.
Preferably, the real-time load temperature rise threshold is a nominal temperature rise threshold and the real-time load rate.
Step 101: collecting temperature rise data of each level of the multi-level transformer through a distributed optical fiber;
step 102: carrying out effectiveness analysis on the collected temperature rise data and the historical temperature rise data of each level, and judging whether the collected temperature rise data of each level is abnormal temperature rise data or not;
step 103: when the collected temperature rise data is non-abnormal temperature rise data, determining a real-time load temperature rise threshold value of a corresponding level of the collected temperature rise data according to a rated temperature rise threshold value of the corresponding level of the collected temperature rise data and real-time operation load data;
step 104: and comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
The steps of the invention for judging the abnormal state of the temperature rise of the transformer winding are shown in figure 2:
step 1, the invention obtains the basic information of the transformer, the basic information mainly includes: and basic information such as rated capacity, rated current, rated voltage, cooling mode and the like of the transformer is stored in a transformer basic information table.
Step 2, the invention detects the current running state of the transformer, and comprises the following steps: and collecting the load state of the transformer and the communication state of the optical fiber.
And 3, detecting whether the transformer has an abnormal phenomenon or not. And executing the step 4 as long as the abnormal state of the transformer exists, otherwise, executing the step 5. The method comprises the following steps: and detecting whether the load data collected by the transformer is normal or not and whether the distributed optical fiber state communication is normal or not.
And 4, when the transformer is in an abnormal state, prompting an operator to judge the temperature rise state.
And 5, reading temperature rise test data of the transformer. And reading data such as top layer oil temperature rise, winding average temperature rise, no-load loss, temperature rise of each layer of key position and the like under rated loss of the transformer.
And 6, determining a temperature rise threshold interval, and setting the temperature rise threshold interval according to the principle that the average value of the calculated value of the temperature rise of the rated winding of each layer is added with 6K to obtain the temperature rise threshold of the rated winding of each layer.
And 7, collecting the real-time operation load current. And obtaining the real-time load rate of the transformer, wherein the load rate is load current/rated current, and the load rate is used as a condition for calculating the temperature rise threshold of each layer of winding during the operation of the transformer, for example, the rated temperature rise threshold of the first layer of winding is 50K, the load is 50%, and the current load temperature rise threshold is 0.5 x 50K which is 25K.
And 8, analyzing the effectiveness of the operating load current. Comparing and analyzing the historical load data and the collected load data, analyzing whether the load is normal or not, mainly analyzing whether a load mutation phenomenon exists or not, and eliminating abnormal data; or whether the load data communication is abnormal is analyzed according to the communication state. And step 9 is executed when the real-time load abnormity exists, otherwise, step 10 is executed.
And 9, prompting load acquisition abnormity. The abnormal load current collection is prompted, and the temperature rise state cannot be judged.
And step 10, collecting the temperature rise data of the ith layer of the distributed optical fiber winding. The method is used as a basic input condition for judging the temperature rise of the transformer.
And step 12, operating the optical fiber temperature rise effectiveness analysis. And comparing and analyzing the historical temperature rise data with the acquired temperature rise data, wherein the temperature rise is slowly increased data, so that the mutation phenomenon cannot occur, the abnormal temperature rise data is eliminated, the step 13 is executed when the abnormal temperature rise exists, and the step 14 is executed otherwise.
And step 13, prompting temperature rise collection abnormity. And prompting abnormal temperature rise data acquisition and failing to judge the current winding level temperature rise state.
And 14, calculating the current temperature rise threshold interval of the transformer winding level. The rated temperature rise threshold value of the winding of the layer is 50K, the load is 50%, and the current load temperature rise threshold value is 0.5 x 50K-25K.
And step 15, judging the current winding level temperature rise state, comparing the temperature rise data actually acquired by applying the distributed optical fiber with the current level temperature rise threshold under the current load, and if the temperature rise data is larger than the threshold, judging that the current level temperature rise is abnormal, otherwise, judging that the current level temperature rise is normal.
And step 17, recording the i-th layer state of the winding temperature rise, recording the temperature rise state (namely normal or abnormal) of the current-level winding, and then executing step 10.
And step 18, printing the winding temperature rise states of all levels, and storing the winding temperature rise states as result information for judging the winding temperature rise states.
The distributed optical fiber sensing-based method for judging the abnormal state of the transformer winding provided by the invention realizes the complete measurement of the temperature rise of the transformer winding through the distributed optical fiber, can accurately master the temperature rise of each layer of winding, and combines the design, manufacture and delivery test parameters of the transformer according to the 7 th part of a GB/T1094.7-2008 power transformer: the temperature rise limit value is calculated according to the load guide rule of the oil-immersed power transformer, the mode of the temperature rise interval of each layer of winding is determined, and the temperature rise state of the transformer is judged, so that the loss of the transformer is reduced, the capacity potential of the transformer is fully exerted, the transmission capacity of a power grid is improved, and the service life of equipment is guaranteed.
The method has the characteristic of high accuracy, and the algorithm is used for distinguishing the actual temperature rise state by applying the basic information, the temperature rise test data and other structures and design parameters of the transformer and load data, directly reflecting the temperature rise state of the transformer and being accurate to each level. The method has strong adaptability, and the temperature rise state of the oil immersed transformers with different cooling modes, different winding types and different voltage grades can be judged by applying the algorithm. The real-time effect is good, the temperature rise of the optical fiber at the distance of 0.5m is collected according to the operation load data of the transformer and the distributed optical fiber, and the actual temperature rise state of the transformer is directly judged by converting and judging according to the actual load in combination with the rated temperature rise judging section. The method has strong usability and expandability, the algorithm applies a universal calling interface compiled by C + +, can support the calling of various languages, and has strong usability and expandability. The method has high calculation efficiency, can realize the judgment of abnormal temperature rise states of a plurality of transformers according to the imported transformer parameters and the collected transformer operation data, has high calculation efficiency, and simultaneously improves the working efficiency of power grid dispatching personnel.
Fig. 3 is a data acquisition diagram of a method for determining an abnormal temperature rise state of a transformer winding based on distributed optical fiber sensing, and fig. 2 is a flowchart of a method for determining an abnormal temperature rise state of a transformer winding based on distributed optical fiber sensing. The invention can judge the temperature rise state of each layer of the transformer in real time and record the temperature rise state result. Taking a 110kV oil immersed transformer (model SZ-20000/110) and a cooling self-cooling transformer as an example, the following steps are described in detail with reference to fig. 2:
in step 1, obtaining basic information of the transformer, wherein the rated voltage is 500kV, the rated capacity is 20MVA, and the transformation ratio is as follows: 110kV +/-8 x 1.25%/10.5 kV, connection group: ynd11, cooling by self-cooling transformer, and storing in transformer information table when the date of production is 2019, 11 and 20.
In step 2, the current running state of the transformer is detected, whether the load state of the transformer is normal or not, whether distributed optical fiber communication is normal or not and the like are detected.
In step 3, judging whether the transformer has an abnormal phenomenon, if so, executing step 4, otherwise, executing step 5. (whether the load data collected by the transformer is normal or not and whether the distributed optical fiber state communication is normal or not are detected).
In step 4, the abnormal running state of the transformer is prompted to prompt an operator, so that the temperature rise state cannot be judged.
In step 5, reading temperature rise test data of the transformer, wherein the top layer oil temperature rise of the transformer under rated loss is 51.3K, the average oil temperature rise is 39.3K, the average temperature rise of the low-voltage winding is 59.5K, the copper oil temperature difference is 20.2K, the loss ratio is 4.5, the oil index is 1.0, the winding index is 2.0, the oil time constant is 90min, the winding time constant is 7min, the hot spot coefficient is 1.18, the no-load loss is 20kW, and the load loss is 90kW, and selecting the temperature rise data of the low-voltage winding 20 layers
| Low pressure | T1(K) | T2(K) | T3(K) | Average (K) |
| Disc1 | 61.5 | 63.2 | 61.3 | 62 |
| Disc2 | 57.7 | 60.6 | 60.1 | 59.5 |
| Disc3 | 58.1 | 60.5 | 60.7 | 59.8 |
| Disc4 | 57.7 | 60.1 | 60.4 | 59.4 |
| Disc5 | 57.4 | 59.7 | 60.1 | 59 |
| Disc6 | 57.1 | 59.4 | 59.7 | 58.7 |
| Disc7 | 56 | 56.7 | 55.9 | 56.2 |
| Disc8 | 55.9 | 55.2 | 53.2 | 54.8 |
| Disc9 | 56.5 | 55.8 | 53.5 | 55.3 |
| Disc10 | 56.4 | 55.7 | 53.5 | 55.2 |
| Disc11 | 56.1 | 55.5 | 53.4 | 55 |
| Disc12 | 55.9 | 55.3 | 53.2 | 54.8 |
| Disc13 | 55.6 | 55.2 | 53.2 | 54.7 |
| Disc14 | 52.3 | 53.1 | 52.4 | 52.6 |
| Disc15 | 49.6 | 51.6 | 52.4 | 51.2 |
| Disc16 | 49.9 | 52.1 | 52.9 | 51.7 |
| Disc17 | 49.8 | 52.1 | 52.8 | 51.6 |
| Disc18 | 49.7 | 51.9 | 52.6 | 51.4 |
| Disc19 | 49.6 | 51.7 | 52.4 | 51.2 |
| Disc20 | 49.5 | 51.5 | 52.1 | 51 |
In step 6, a temperature rise threshold interval is determined, and the temperature rise threshold interval is calculated according to the average value of the rated winding temperature rise of each layer, namely the average value is added with 6K to obtain the following threshold table.
| Low pressure | Average (K) | Threshold (K) |
| Disc1 | 62 | 68 |
| Disc2 | 59.5 | 65.5 |
| Disc3 | 59.8 | 65.8 |
| Disc4 | 59.4 | 65.4 |
| Disc5 | 59 | 65 |
| Disc6 | 58.7 | 64.7 |
| Disc7 | 56.2 | 62.2 |
| Disc8 | 54.8 | 60.8 |
| Disc9 | 55.3 | 61.3 |
| Disc10 | 55.2 | 61.2 |
| Disc11 | 55 | 61 |
| Disc12 | 54.8 | 60.8 |
| Disc13 | 54.7 | 60.7 |
| Disc14 | 52.6 | 58.6 |
| Disc15 | 51.2 | 57.2 |
| Disc16 | 51.7 | 57.7 |
| Disc17 | 51.6 | 57.6 |
| Disc18 | 51.4 | 57.4 |
| Disc19 | 51.2 | 57.2 |
| Disc20 | 51 | 57 |
In step 7, the real-time operating load current is collected. And obtaining the real-time load of the transformer, wherein the load rate is load current/rated current, and the load rate is calculated to be 50%.
In step 8, a load current validity analysis is run. And comparing and analyzing the historical load data and the collected load data, so that the load current is normal.
In step 9, when the load current is abnormal, the load current is prompted to be abnormal, and the temperature rise state cannot be judged.
In step 10, temperature rise data of the layer 1 operation of the distributed optical fiber winding is collected. As a basic input condition for judging the temperature rise of the transformer, the first-layer temperature rise data is 30K.
In step 11, whether the distributed optical fiber winding temperature rise data is collected to the last layer or not is judged, if the distributed optical fiber winding temperature rise data is read to the last layer, step 18 is executed, and if the distributed optical fiber winding temperature rise data is not collected to the last layer, step 12 is executed
In step 12, a fiber temperature rise validity analysis is run. And comparing and analyzing the historical temperature rise data and the acquired temperature rise data, wherein the temperature rise is slowly increased data, so that the phenomenon of mutation does not occur, abnormal temperature rise data is eliminated, and the temperature rise of the layer is normal.
In step 13, temperature rise is collected when abnormality occurs. The temperature rise of the layer is prompted to be acquired abnormally, and the current winding level temperature rise state cannot be judged.
In step 14, a current transformer winding level temperature rise threshold interval is calculated. The winding load of the layer is 50%, and the temperature rise threshold interval of each layer is calculated according to the load of 50%.
| Low pressure | Average (K) | Threshold (K) | 50% threshold |
| Disc1 | 62 | 68 | 34 |
| Disc2 | 59.5 | 65.5 | 32.75 |
| Disc3 | 59.8 | 65.8 | 32.9 |
| Disc4 | 59.4 | 65.4 | 32.7 |
| Disc5 | 59 | 65 | 32.5 |
| Disc6 | 58.7 | 64.7 | 32.35 |
| Disc7 | 56.2 | 62.2 | 31.1 |
| Disc8 | 54.8 | 60.8 | 30.4 |
| Disc9 | 55.3 | 61.3 | 30.65 |
| Disc10 | 55.2 | 61.2 | 30.6 |
| Disc11 | 55 | 61 | 30.5 |
| Disc12 | 54.8 | 60.8 | 30.4 |
| Disc13 | 54.7 | 60.7 | 30.35 |
| Disc14 | 52.6 | 58.6 | 29.3 |
| Disc15 | 51.2 | 57.2 | 28.6 |
| Disc16 | 51.7 | 57.7 | 28.85 |
| Disc17 | 51.6 | 57.6 | 28.8 |
| Disc18 | 51.4 | 57.4 | 28.7 |
| Disc19 | 51.2 | 57.2 | 28.6 |
| Disc20 | 51 | 57 | 28.5 |
In step 15, the current winding level temperature rise state is judged, the temperature rise data actually acquired by applying the distributed optical fiber is compared with the current level temperature rise threshold under the current load, and the first layer with the temperature of 30K <34K is normal.
In step 16, whether the temperature rise state is abnormal or not and the first layer temperature rise state is normal.
In step 17, the current judging state of the winding temperature rise abnormality is recorded, and the first layer state is normal.
In step 18, the temperature rise states for all levels are printed, as in the table below.
Fig. 4 is a structural diagram of a system for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing according to a preferred embodiment of the present invention. As shown in fig. 4, the present invention provides a system for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing, wherein the system comprises:
the acquisition unit 401 is configured to acquire temperature rise data of each level of the multi-level transformer through a distributed optical fiber;
a first determining unit 402, configured to perform validity analysis on the acquired temperature rise data and the historical temperature rise data of each level, and determine whether the acquired temperature rise data of each level is abnormal temperature rise data;
the determining unit 403 is configured to determine, when the collected temperature rise data is non-abnormal temperature rise data, a real-time load temperature rise threshold value of a corresponding level of the collected temperature rise data according to a rated temperature rise threshold value of the corresponding level of the collected temperature rise data and real-time operation load data;
the second determining unit 404 is configured to compare the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding hierarchy, and determine that the temperature rise state of the distributed optical fiber winding of the hierarchy corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
Preferably, the system further comprises an initial unit for: acquiring real-time operation load data of the transformer, and judging whether the real-time operation load data is normal or not; and when the real-time operation load data is normal, judging whether the distributed optical fiber communication state is normal.
Preferably, the initiation unit is further configured to: reading the temperature rise test data of the transformer when the distributed optical fiber communication state is normal; and determining a rated temperature rise threshold value of each level of the transformer according to the temperature rise test data of the transformer.
Preferably, the initiation unit is further configured to: and acquiring real-time operation load data, and determining the real-time load rate of the transformer according to the real-time operation load data and the rated current of the transformer.
Preferably, the real-time load temperature rise threshold is a nominal temperature rise threshold and the real-time load rate.
The system 400 for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing in the preferred embodiment of the present invention corresponds to the method 100 for determining a temperature rise state of a transformer winding based on distributed optical fiber sensing in another preferred embodiment of the present invention, and will not be described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims. Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
The invention may be stored in a computer readable storage medium, storing the following templates:
as will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A method for judging the temperature rise state of a transformer winding based on distributed optical fiber sensing comprises the following steps:
collecting temperature rise data of each level of the multi-level transformer through a distributed optical fiber;
carrying out effectiveness analysis on the acquired temperature rise data and the historical temperature rise data of each level, and judging whether the acquired temperature rise data of each level is abnormal temperature rise data or not;
when the collected temperature rise data is non-abnormal temperature rise data, determining a real-time load temperature rise threshold value of a corresponding level of the collected temperature rise data according to a rated temperature rise threshold value of the corresponding level of the collected temperature rise data and real-time operation load data;
and comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
2. The method of claim 1, said collecting temperature rise data for each of a plurality of distributed fiber winding levels further comprising, prior to said collecting temperature rise data:
collecting real-time operation load data and judging whether the real-time operation load data is normal or not;
and when the real-time operation load data is normal, judging whether the distributed optical fiber communication state is normal.
3. The method of claim 2, said collecting temperature rise data for each of a plurality of distributed fiber winding levels further comprising, prior to said collecting temperature rise data:
when the distributed optical fiber communication state is normal, reading the temperature rise test data of the transformer;
and determining a rated temperature rise threshold value of each level of the transformer according to the temperature rise test data of the transformer.
4. The method of claim 1, further comprising: and acquiring the real-time operation load data, and determining the real-time load rate of the transformer according to the real-time operation load data and the rated current of the transformer.
5. The method of claim 4, wherein the real-time load temperature rise threshold is a nominal temperature rise threshold and the real-time load rate.
6. A system for judging temperature rise state of a transformer winding based on distributed optical fiber sensing, comprising:
the acquisition unit is used for acquiring acquisition temperature rise data of each level of the multi-level transformer through the distributed optical fiber;
the first judgment unit is used for carrying out effectiveness analysis on the acquired temperature rise data and historical temperature rise data of each level and judging whether the acquired temperature rise data of each level is abnormal temperature rise data or not;
the determining unit is used for determining the real-time load temperature rise threshold of the corresponding level of the acquired temperature rise data according to the rated temperature rise threshold of the corresponding level of the acquired temperature rise data and the real-time operation load data when the acquired temperature rise data is non-abnormal temperature rise data;
and the second judging unit is used for comparing the acquired temperature rise data with the real-time load temperature rise threshold of the corresponding level, and judging that the temperature rise state of the distributed optical fiber winding of the level corresponding to the acquired temperature rise data is abnormal when the acquired temperature rise data is greater than the real-time load temperature rise threshold.
7. The system of claim 6, further comprising an initialization unit to: acquiring real-time operation load data of a transformer, and judging whether the real-time operation load data is normal or not;
and when the real-time operation load data is normal, judging whether the distributed optical fiber communication state is normal.
8. The system of claim 7, the initiation unit further to: when the distributed optical fiber communication state is normal, reading the temperature rise test data of the transformer;
and determining a rated temperature rise threshold value of each level of the transformer according to the temperature rise test data of the transformer.
9. The system of claim 6, the initiation unit further to: and acquiring the real-time operation load data, and determining the real-time load rate of the transformer according to the real-time operation load data and the rated current of the transformer.
10. The system of claim 9, wherein the real-time load temperature rise threshold is a nominal temperature rise threshold and the real-time load rate.
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