CN113483849B - Dynamic monitoring method for liquid level of transformer - Google Patents
Dynamic monitoring method for liquid level of transformer Download PDFInfo
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- CN113483849B CN113483849B CN202110747318.6A CN202110747318A CN113483849B CN 113483849 B CN113483849 B CN 113483849B CN 202110747318 A CN202110747318 A CN 202110747318A CN 113483849 B CN113483849 B CN 113483849B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F23/00—Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
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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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Abstract
A dynamic monitoring method for the liquid level of transformer features that the historical oil temp value, the historical liquid level value and the historical alarm data of transformer are analyzed, and the real-time state data of transformer is combined to obtain the median set of liquid level value of transformer, the alarm value at current time and the relative gradient value of liquid level of transformer at current time.
Description
Technical field:
the invention relates to the technical field of transformer substation monitoring management, in particular to a transformer liquid level monitoring technology, and specifically relates to a transformer liquid level dynamic monitoring method.
The background technology is as follows:
in a power system, the liquid level of a transformer in a transformer substation can change along with the change of the ambient temperature, the liquid level rises when the ambient temperature rises, the liquid level drops when the ambient temperature drops, and the change brings inconvenience to the liquid level alarm of the transformer. In the prior art, a fixed alarm value or gradient alarm mode is usually adopted, but false alarm and false alarm caused by the change of the liquid level of the transformer along with the change of the ambient temperature cannot be effectively avoided in the two modes. Meanwhile, in order to avoid false alarm, the existing transformer liquid level detection method generally adopts an increase alarm limit value, but the method can cover up the slow change of the transformer oil temperature, so that the transformer liquid level alarm loses the corresponding function, and the safe operation of a transformer substation is difficult to be effectively ensured.
The invention comprises the following steps:
the invention aims to provide a dynamic monitoring method for the liquid level of a transformer, which is used for realizing dynamic alarm for the liquid level of the transformer by analyzing the historical oil temperature value, the historical liquid level value and the historical alarm data of the transformer and combining with analyzing the real-time state data of the transformer, so that the problems of high false alarm and missing alarm rate caused by adopting the modes of setting a fixed alarm value, gradient alarm, increasing an alarm limit value and the like are effectively reduced.
The invention relates to a dynamic monitoring method for the liquid level of a transformer, which comprises the following steps: step one: the method comprises the steps of obtaining a historical transformer oil temperature value, a historical transformer liquid level value and historical alarm data in a transformer substation monitoring system, wherein the historical transformer oil temperature value is extracted from the monitoring system, the historical transformer liquid level value is extracted from an image recognition system, the historical alarm data is a transformer alarm record in a transformer substation background monitoring system, and the historical transformer oil temperature value, the historical transformer liquid level value and the historical alarm data at least comprise one year of complete monitoring information; step two: traversing and searching a set of time points k which simultaneously meet the requirements of U (k-1) > l multiplied by Un, U (k) > l multiplied by Un and S (k) =0, wherein U (k-1) and U (k) are any voltage value of the primary side of a historical transformer at k-1 and k time, S (k) is a historical alarm value of the transformer at k time, 0 represents no alarm, 1 represents alarm, un is a voltage reference value of a voltage level of the transformer, l is a reliability coefficient value of 0.7, and the time interval between k-1 and k time is 30 minutes; step three: traversing history monitoring data, and obtaining a set of two-dimensional arrays Tu by a formula Tu (u, k) =I (k), wherein I (k) is a transformer liquid level value at the moment k, tu (u, k) is a liquid level value at the moment k, the transformer temperature at the moment k is u, the temperature u is obtained by the formula u=int (T (k)), wherein T (k) is a transformer oil temperature value at the moment k, and int () is a rounding function; step four: traversing the two-dimensional array Tu, calculating to obtain the median of the liquid level value of the transformer at each temperature u, and storing the result into a Tz set, wherein Tz (u) represents the liquid level median value of the temperature u; step five: in the real-time monitoring system, an alarm value A (i) of a current i moment of a transformer is obtained by a formula A (i) =tz (u), wherein the temperature u is obtained by u=int (T (i)), T (i) is a transformer oil temperature value of the current i moment, int () is a rounding function, and if the current temperature u is not in the Tz set of the step four, a median value closest to u in the Tz set is taken as A (i); step six: calculating to obtain a transformer liquid level relative gradient value D (i) at the current moment i by a formula D (i) =fabs (A (i) -A (i-1) -Tz (u.i) +tz (v.i-1)), wherein the function fabs () is an absolute value function, A (i-1) is an alarm value at the moment i-1, tz (u.i) is a Tz (u) value of a transformer oil temperature u at the moment i, tz (v.i-1) is a Tz (v) value of a transformer oil temperature v at the moment i-1, and the time interval between the moment i-1 and the moment i is 30 minutes; step seven: and taking a transformer liquid level value I (I) at the current moment I, and triggering an alarm by a substation monitoring system when I (I) > lambda A (I), I (I) < (lambda-1) x A (I), or D (I) > (lambda-1) x A (I) is met, wherein lambda is a reliability coefficient value of 1.2.
The working principle of the invention is as follows: obtaining a transformer oil temperature value, a liquid level value and alarm data for at least more than one year, wherein the larger the processed historical data size is, the higher the precision of a monitoring method is, traversing the above historical data to find a time point k which simultaneously meets three conditions of U (k-1) > l multiplied by Un, U (k) > l multiplied by Un and S (k) =0, obtaining a set of the time point k, obtaining a set of a two-dimensional array Tu through the set of the time point k by a formula Tu (U, k) =I (k), traversing the set of the two-dimensional array Tu, obtaining a median Tz set of the transformer liquid level value at each temperature U, calculating an alarm value A (I) by a formula A (I) =tz (U), if the temperature U is not in the Tz set, taking one median value closest to the temperature U in the Tz set as A (I), and simultaneously obtaining a transformer liquid level relative gradient value D (I) at the current moment I by the formula
D (I) =fabs (A (I) -A (I-1) -Tz (u.i) +tz (v.i-1)) is calculated, after the data of A (I) and D (I) are obtained through the steps, the system judges that when I (I) > lambda A (I) or I (I) < (lambda-1) x A (I) or D (I) > (lambda-1) x A (I) is met, the transformer substation monitoring system triggers an alarm, and accurate dynamic monitoring of the liquid level of the transformer is achieved.
Compared with the prior art, the invention has positive and obvious effects. According to the method, the historical oil temperature value, the historical liquid level value and the historical alarm data of the transformer are analyzed, the real-time state data of the transformer are analyzed, the dynamic alarm of the liquid level of the transformer is realized, the problems of high false alarm and missing alarm rate caused by the modes of setting a fixed alarm value, gradient alarm, increasing an alarm limit value and the like are effectively reduced, and the liquid level dynamic monitoring method is low in implementation cost, high in safety, low in base investment and high in monitoring efficiency.
Description of the drawings:
FIG. 1 is a schematic flow chart of a dynamic monitoring method for the liquid level of a transformer according to the present invention
The specific embodiment is as follows:
example 1:
as shown in fig. 1, the method for dynamically monitoring the liquid level of the transformer comprises the following steps:
step one: the method comprises the steps of obtaining a historical transformer oil temperature value, a historical transformer liquid level value and historical alarm data in a transformer substation monitoring system, wherein the historical transformer oil temperature value is extracted from the monitoring system, the historical transformer liquid level value is extracted from an image recognition system, the historical alarm data is a transformer alarm record in a transformer substation background monitoring system, and the historical transformer oil temperature value, the historical transformer liquid level value and the historical alarm data at least comprise one year of complete monitoring information;
step two: traversing and searching a set of time points k which simultaneously meet the requirements of U (k-1) > l multiplied by Un, U (k) > l multiplied by Un and S (k) =0, wherein U (k-1) and U (k) are any voltage value of the primary side of a historical transformer at k-1 and k time, S (k) is a historical alarm value of the transformer at k time, 0 represents no alarm, 1 represents alarm, un is a voltage reference value of a voltage level of the transformer, l is a reliability coefficient value of 0.7, and the time interval between k-1 and k time is 30 minutes;
step three: traversing history monitoring data, and obtaining a set of two-dimensional arrays Tu by a formula Tu (u, k) =I (k), wherein I (k) is a transformer liquid level value at the moment k, tu (u, k) is a liquid level value at the moment k, the transformer temperature at the moment k is u, the temperature u is obtained by the formula u=int (T (k)), wherein T (k) is a transformer oil temperature value at the moment k, and int () is a rounding function;
step four: traversing the two-dimensional array Tu, calculating to obtain the median of the liquid level value of the transformer at each temperature u, and storing the result into a Tz set, wherein Tz (u) represents the liquid level median value of the temperature u;
step five: in the real-time monitoring system, an alarm value A (i) of a current i moment of a transformer is obtained by a formula A (i) =tz (u), wherein the temperature u is obtained by u=int (T (i)), T (i) is a transformer oil temperature value of the current i moment, int () is a rounding function, and if the current temperature u is not in the Tz set of the step four, a median value closest to u in the Tz set is taken as A (i);
step six: calculating to obtain a transformer liquid level relative gradient value D (i) at the current moment i by a formula D (i) =fabs (A (i) -A (i-1) -Tz (u.i) +tz (v.i-1)), wherein the function fabs () is an absolute value function, A (i-1) is an alarm value at the moment i-1, tz (u.i) is a Tz (u) value of a transformer oil temperature u at the moment i, tz (v.i-1) is a Tz (v) value of a transformer oil temperature v at the moment i-1, and the time interval between the moment i-1 and the moment i is 30 minutes;
step seven: and taking a transformer liquid level value I (I) at the current moment I, and triggering an alarm by a substation monitoring system when I (I) > lambda A (I), I (I) < (lambda-1) x A (I), or D (I) > (lambda-1) x A (I) is met, wherein lambda is a reliability coefficient value of 1.2.
Claims (1)
1. A dynamic monitoring method for the liquid level of a transformer is characterized in that: the method comprises the following steps:
step one: the method comprises the steps of obtaining a historical transformer oil temperature value, a historical transformer liquid level value and historical alarm data in a transformer substation monitoring system, wherein the historical transformer oil temperature value is extracted from the monitoring system, the historical transformer liquid level value is extracted from an image recognition system, the historical alarm data is a transformer alarm record in a transformer substation background monitoring system, and the historical transformer oil temperature value, the historical transformer liquid level value and the historical alarm data at least comprise one year of complete monitoring information;
step two: traversing and searching a set of time points k which simultaneously meet the requirements of U (k-1) > l multiplied by Un, U (k) > l multiplied by Un and S (k) =0, wherein U (k-1) and U (k) are any voltage value of the primary side of a historical transformer at k-1 and k time, S (k) is a historical alarm value of the transformer at k time, 0 represents no alarm, 1 represents alarm, un is a voltage reference value of a voltage level of the transformer, l is a reliability coefficient value of 0.7, and the time interval between k-1 and k time is 30 minutes;
step three: traversing history monitoring data, and obtaining a set of two-dimensional arrays Tu by a formula Tu (u, k) =I (k), wherein I (k) is a transformer liquid level value at the moment k, tu (u, k) is a liquid level value at the moment k, the transformer temperature at the moment k is u, the temperature u is obtained by the formula u=int (T (k)), wherein T (k) is a transformer oil temperature value at the moment k, and int () is a rounding function;
step four: traversing the two-dimensional array Tu, calculating to obtain the median of the liquid level value of the transformer at each temperature u, and storing the result into a Tz set, wherein Tz (u) represents the liquid level median value of the temperature u;
step five: in the real-time monitoring system, an alarm value A (i) of a current i moment of a transformer is obtained by a formula A (i) =tz (u), wherein the temperature u is obtained by u=int (T (i)), T (i) is a transformer oil temperature value of the current i moment, int () is a rounding function, and if the current temperature u is not in the Tz set of the step four, a median value closest to u in the Tz set is taken as A (i);
step six: calculating to obtain a transformer liquid level relative gradient value D (i) at the current moment i by a formula D (i) =fabs (A (i) -A (i-1) -Tz (u.i) +tz (v.i-1)), wherein the function fabs () is an absolute value function, A (i-1) is an alarm value at the moment i-1, tz (u.i) is a Tz (u) value of a transformer oil temperature u at the moment i, tz (v.i-1) is a Tz (v) value of a transformer oil temperature v at the moment i-1, and the time interval between the moment i-1 and the moment i is 30 minutes;
step seven: and taking a transformer liquid level value I (I) at the current moment I, and triggering an alarm by a substation monitoring system when I (I) > lambda A (I), I (I) < (lambda-1) x A (I), or D (I) > (lambda-1) x A (I) is met, wherein lambda is a reliability coefficient value of 1.2.
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| US11437185B2 (en) * | 2019-06-27 | 2022-09-06 | Siemens Aktiengesellschaft | Temperature based fluid level estimation in an electrical device |
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| EP2466322A1 (en) * | 2010-12-17 | 2012-06-20 | ABB Research Ltd. | Method and apparatus for transformer diagnosis |
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| CN112001417A (en) * | 2020-07-17 | 2020-11-27 | 国网宁夏电力有限公司检修公司 | Monitoring method, medium and system for transformer oil conservator |
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