CN210864020U - System for determining operating state of capacitor voltage transformer - Google Patents
System for determining operating state of capacitor voltage transformer Download PDFInfo
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- CN210864020U CN210864020U CN201920982947.5U CN201920982947U CN210864020U CN 210864020 U CN210864020 U CN 210864020U CN 201920982947 U CN201920982947 U CN 201920982947U CN 210864020 U CN210864020 U CN 210864020U
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Abstract
The utility model discloses a system for be used for confirming capacitanc voltage transformer's running state, the system includes: the device comprises an electric field analysis module, a temperature analysis module, a frequency analysis module, a secondary load analysis module, a voltage signal analysis module, intelligent processing equipment, a storage module and a display module, wherein the deviation of the operation error of the capacitor voltage transformer is calculated according to the obtained ratio difference influence quantity generated by an electric field, the additional error generated by temperature, the additional error generated by frequency, the additional error generated by a secondary load and a secondary output signal so as to determine the operation state of the capacitor voltage transformer, and data storage and display are carried out. The utility model discloses can carry out error detection work to the capacitive voltage transformer who is in the running state, realize the on-line measuring to the voltage transformer error; the method can provide accurate judgment for whether the operating capacitance voltage transformer in the full transformer station exceeds the error limit value or not, and provides data support for line loss analysis.
Description
Technical Field
The utility model relates to a power grid operation and maintenance technical field to more specifically, relate to a system for confirming capacitor voltage transformer's running state.
Background
In recent years, the electric power industry in China is rapidly developed, the voltage grade of an electric power system is continuously improved, and the generated energy and the power consumption are greatly increased. Meanwhile, along with the reform of the electric power system, particularly the separation of power generation and power transmission, the accuracy and fairness of electric energy metering arouse high social attention. The voltage transformer is used as an important component of the gateway electric energy metering device, and in order to ensure reliable operation of the gateway electric energy metering device, according to the standard of the handover test of electrical equipment in the installation engineering of electrical equipment, the voltage transformer needs to be subjected to a handover test after field installation is finished, wherein the field error handover test is an important component in the handover test.
In actual engineering, error measurement of a voltage transformer is usually performed by transporting a standard device to the site, performing error detection on the voltage transformer before installation in an offline state, and performing no error detection in an operating state. In a power grid with a voltage class of more than 110kV in China, most of used voltage transformers are Capacitor Voltage Transformers (CVTs) which have advantages in insulating performance, and in addition, the manufacturing cost of the CVTs is far lower than that of electromagnetic voltage transformers, so that the CVTs are widely applied. However, the capacitor of the CVT is an open structure, and the voltage division ratio thereof is easily affected by the environment, resulting in a large difference between the off-line error and the on-line error. The error detection is carried out on a 110kV CVT under the offline state, the ratio difference is 0.022%, the operation ratio difference is 0.036% by accessing a standard device in a test loop, and the ratio difference is changed by 63.6%.
Therefore, how to accurately measure the error of the CVT in the running state to determine the running state is an urgent problem to be solved.
Disclosure of Invention
The utility model provides a system for be used for confirming capacitive voltage transformer's running state to solve the problem of how accurately to confirm capacitive voltage transformer's running state.
In order to solve the above problem, the present invention provides a system for determining an operating state of a capacitive voltage transformer, the system comprising:
the electric field analysis module is connected with the intelligent processing equipment and used for carrying out simulation calculation based on a finite element analysis method according to the body parameters of the capacitor voltage transformer so as to obtain the ratio difference influence quantity generated by the electric field;
the temperature analysis module is connected with the intelligent processing equipment and used for acquiring an additional error generated by the temperature according to the operating environment temperature of the capacitor voltage transformer and the body parameters of the capacitor voltage transformer;
the frequency analysis module is connected with the intelligent processing equipment and used for acquiring an additional error generated by frequency according to the real-time frequency of the power supply of the transformer substation and the body parameters of the capacitor voltage transformer;
the secondary load analysis module is connected with the intelligent processing equipment and used for acquiring an additional error generated by a secondary load according to a secondary load measurement result of the capacitor voltage transformer and a body parameter of the capacitor voltage transformer;
the voltage signal analysis module is connected with the intelligent processing equipment and used for determining a first relative error between any two capacitor voltage transformers by using a difference method according to the acquired secondary output signals of the plurality of capacitor voltage transformers;
the intelligent processing equipment is used for determining a second relative error between any two capacitor voltage transformers by using a difference method according to the calculated theoretical operating error of each capacitor voltage transformer, and determining the operating state of the capacitor voltage transformers according to the deviation of the first relative error and the second relative error corresponding to the two capacitor voltage transformers; wherein the additional error comprises: a ratio difference influence quantity and a phase difference influence quantity; the first and second relative errors each comprise: a relative error corresponding to the ratio difference and a relative error corresponding to the phase difference;
the display module is connected with the intelligent processing equipment and used for displaying data;
and the storage module is connected with the intelligent processing equipment and used for storing data.
Preferably, the parameters of the capacitor voltage transformer include: the high-voltage capacitor, the medium-voltage capacitor, the low-voltage capacitor, the height of the capacitor, the number of capacitor cores, the voltage grade, the installation position, the surrounding equipment type and the distance between the capacitor voltage transformer and the capacitor voltage transformer in an operating state.
Preferably, the theoretical operating error of each capacitor voltage transformer comprises: theoretical operation errors corresponding to the ratio difference and theoretical operation errors corresponding to the phase difference;
wherein, the sum of the ratio difference influence quantity generated by the electric field, the ratio difference influence quantity generated by the frequency, the ratio difference influence quantity generated by the temperature and the ratio difference influence quantity generated by the secondary load is taken as the theoretical operation error corresponding to the ratio difference;
the sum of the phase difference influence amount due to the frequency, the phase difference influence amount due to the temperature, and the phase difference influence amount due to the secondary load is taken as a theoretical operation error corresponding to the phase difference.
Preferably, the determining, by the intelligent processing device, the operating state of the two capacitor voltage transformers according to the deviation of the first relative error and the second relative error corresponding to the two capacitor voltage transformers includes:
respectively calculating the deviation between the ratio differences and the deviation between the phase differences of the two capacitor voltage transformers;
judging the running state according to the deviation between the ratio differences and the deviation between the phase differences; if the deviation between the ratio differences of the two capacitor voltage transformers is smaller than a first preset threshold value and the deviation between the phase differences is smaller than a second preset threshold value, determining that the two capacitor voltage transformers are in a normal operation state; and otherwise, determining that the capacitor voltage transformer is in an abnormal operation state.
Preferably, the intelligent processing device is further configured to:
when one of the two capacitor voltage transformers is determined to be in an abnormal operation state, a third capacitor voltage transformer is introduced, and deviation comparison is carried out between every two capacitor voltage transformers so as to determine the capacitor voltage transformer in the abnormal state.
Preferably, the intelligent processing device is further configured to:
analyzing the measurement uncertainty of each capacitive voltage transformer; and
and analyzing and prejudging the future operating state of each capacitor voltage transformer according to the acquired operating data of each capacitor voltage transformer.
Preferably, wherein the system further comprises:
and the temperature acquisition module is connected with the temperature analysis module and used for acquiring the operating environment temperature of the capacitor voltage transformer and sending the operating environment temperature to the temperature analysis module.
Preferably, the voltage signal analysis module is further configured to:
and converting the acquired secondary output signals of the plurality of capacitance voltage transformers into small voltage signals from large voltage signals by using the high-precision voltage sensor.
Preferably, wherein the system further comprises:
and the secondary load tester is connected with the secondary load analysis module and is used for measuring the secondary load of the capacitor voltage transformer.
The utility model provides a system for be used for confirming capacitor voltage transformer's running state, include: the device comprises an electric field analysis module, a temperature analysis module, a frequency analysis module, a secondary load analysis module, a voltage signal analysis module, intelligent processing equipment, a display module and a storage module, wherein the deviation of the operation error of the capacitor voltage transformer is calculated according to the acquired ratio difference influence quantity generated by an electric field, the additional error generated by temperature, the additional error generated by frequency, the additional error generated by a secondary load and a secondary output signal so as to determine the operation state of the capacitor voltage transformer, and the operation state is displayed and stored. The system of the utility model abandons the current situation that the error detection of the voltage transformer can be carried out only by power failure at present, can carry out the error detection work on the capacitor voltage transformer in the running state, and realizes the online detection of the error of the voltage transformer; the method can provide accurate judgment for whether the operating capacitance voltage transformer in the full transformer station exceeds the error limit value or not, and provide data support for line loss analysis; the method finds out a substitute means for the weekly check work of the capacitor voltage transformer and has wide popularization space.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings:
fig. 1 is a schematic diagram of a system 100 for determining an operating state of a capacitive voltage transformer according to an embodiment of the present invention;
fig. 2 is a schematic diagram of determining an operating state according to an embodiment of the present invention; and
fig. 3 is a platform level diagram for analyzing the operation error of the capacitor voltage transformer according to the embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, which, however, may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of thoroughly and completely disclosing the present invention and fully conveying the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments presented 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 schematic diagram of a system 100 for determining an operating state of a capacitive voltage transformer according to an embodiment of the present invention. As shown in fig. 1, the system for determining the operating state of the capacitor voltage transformer according to the embodiment of the present invention abandons the current situation that the error detection of the voltage transformer can be performed only by power failure at present, and can perform the error detection work on the capacitor voltage transformer in the operating state, thereby realizing the online detection of the error of the voltage transformer; the method can provide accurate judgment for whether the operating capacitance voltage transformer in the full transformer station exceeds the error limit value or not, and provide data support for line loss analysis; the method finds out a substitute means for the weekly check work of the capacitor voltage transformer and has wide popularization space.
The utility model discloses a system 100 for confirming capacitor voltage transformer's running state that embodiment provided includes: the system comprises an electric field analysis module 101, a temperature analysis module 102, a frequency analysis module 103, a secondary load analysis module 104, a voltage signal analysis module 105, an intelligent processing device 106, a display module 107 and a storage module 108. The principle of determining the operating state with this system is shown in fig. 2.
Preferably, the electric field analysis module 101 is connected to the intelligent processing device 106, and configured to perform simulation calculation based on a finite element analysis method according to the body parameters of the capacitor voltage transformer, so as to obtain the influence quantity of the ratio difference generated by the electric field.
Preferably, the parameters of the capacitor voltage transformer include: the high-voltage capacitor, the medium-voltage capacitor, the low-voltage capacitor, the height of the capacitor, the number of capacitor cores, the voltage grade, the installation position, the surrounding equipment type and the distance between the capacitor voltage transformer and the capacitor voltage transformer in an operating state.
The primary body of the CVT consists of a capacitive voltage divider and an electromagnetic unit, and the accuracy of secondary output of the CVT is directly related to the voltage division ratio of the capacitive voltage divider in an ideal state. The voltage division ratio of the capacitive divider can be expressed as
K is the voltage division ratio of the capacitive voltage divider; c1 is the high voltage capacitance of the capacitive divider; c2 is the capacitive divider low voltage capacitance. During test and actual operation of the CVT, because the capacitance element of the capacitive voltage divider has no effective shielding measure and is in an open state relative to the surrounding environment, the high-low voltage capacitance of the capacitive voltage divider is influenced by the environment, additional distributed capacitance is generated, and the voltage dividing ratio is shifted, so that the accuracy of the CVT secondary output is influenced.
After the CVT product is installed on the site of a transformer substation, a primary body of the CVT product is supported in the air with the height of several meters by a power transformation support, and distribution parameters of the CVT product change along with the increase of the installation position. In CVT error hand-off testing, if the height of the standard transformer is low, it tends to cause the angle of the high voltage lead to be less than 90 °. The different effective partial pressure ratios of capacitive divider who can change the CVT of angle of high-pressure lead wire, fold the post contained angle by big diminishing like high-pressure lead wire and capacitive divider, then arouse the stray capacitance increase to the electric capacity stack, the stray current of lead wire to the stack post will also increase, the electric current that C2 flows through also increases, the partial pressure on C2 also improves, the result can cause the poor forward drift of ratio, the phase difference is to the negative drift. The installation position of the CVT in the transformer substation and an external electric field generated by the operation of peripheral equipment of the CVT can influence the voltage division ratio of a capacitor in the CVT, so that the intermediate voltage of the CVT is different from a designed value, and finally the CVT error is reflected to be changed.
Therefore, the utility model discloses with CVT self parameter, mounted position and equipment condition input to system on every side to establish typical electric field simulation system and carry out the quantization simulation with electric field size around to the operation to CVT error influence, obtain the additional error value that the outer electric field produced, and give intelligent processing equipment with this value transmission.
The utility model discloses an in the embodiment, to every capacitive voltage transformer, through inputting its high-voltage capacitor, the middling pressure electric capacity, low pressure electric capacity, self height, electric capacity core quantity, the voltage level, the mounted position, surrounding equipment type and rather than body parameters such as interval, electric field analysis module can calculate the software through built-in emulation, combine the poor influence quantity of ratio of the outer electric field of above-mentioned body parameter analysis calculation in-service ambient environment parameter to this CVT's error production, and transmit this poor influence quantity of ratio for intelligent processing equipment.
Preferably, the temperature analysis module 102 is connected to the intelligent processing device 106, and is configured to obtain an additional error generated by the temperature according to the operating environment temperature of the capacitor voltage transformer and the body parameter of the capacitor voltage transformer.
Preferably, the system further comprises: and the temperature acquisition module is connected with the temperature analysis module and used for acquiring the operating environment temperature of the capacitor voltage transformer and sending the operating environment temperature to the temperature analysis module.
The temperature variation will cause the capacitance of the high voltage capacitor and the low voltage capacitor to change, which may cause two errors and affect the accuracy. Firstly, because of the change of capacitive reactance, the change of residual reactance of the CVT is caused, so that the residual reactance is generated to cause errors; secondly, the C1 and C2 may generate a voltage division ratio error due to temperature. In general, the capacitance change of the oiled paper medium is linear at a temperature of (-60 to 60) DEG C, and at this time, C is equal to Cd(1+ α Δ τ.) the effect of temperature on error is:
wherein Cd is the capacitance value at the reference temperature, α is the capacitance temperature coefficient, and Delta tau is the temperature variation value.
In the embodiment of the utility model, the temperature sensor installed outdoors is used to obtain the operating environment temperature of the capacitor voltage transformer, and the operating environment temperature is transmitted to the temperature analysis module by the communication module; and the temperature analysis module analyzes and calculates according to the received operating environment temperature and the body parameters of the CVT according to the formula to obtain an additional error generated by the temperature and transmits the additional error to the intelligent processing equipment.
It should be noted that the additional errors of the capacitor voltage transformer caused by the temperature, the frequency and the secondary load include: the ratio difference influence amount and the phase difference influence amount.
Preferably, the frequency analysis module 103 is connected to the intelligent processing device 106, and is configured to obtain an additional error generated by the frequency according to the real-time frequency of the substation power supply and the body parameter of the capacitor voltage transformer.
When the grid frequency changes, the capacitive reactance and the inductive reactance of the CVT change from opposite directions, so that additional errors are generated. The calculation method of the ratio difference error and the phase error is shown as the following formula:
wherein, ω isnRated angular frequency for the grid; omega is the actual angular frequency of the power grid; p is active power, and the unit is KW; q is reactive power; u' is rated medium voltage with unit of kV; c is the equivalent capacitance. The above formula shows that when the actual angular frequency is greater than the rated angular frequency, the ratio difference and the phase difference are both increased, and when the actual angular frequency is less than the rated angular frequency, the situation is opposite, i.e. ω is increased, and f and δ are increased; ω decreases and f and δ decrease. Therefore, in the field error test of the CVT, the working frequency of the power supply is recorded, and when the frequency offset changes to cause the judgment of the measurement result, the measurement result is corrected.
Therefore, in the embodiment of the utility model, the frequency analysis module utilizes the mathematical model of establishing directly to acquire the additional error that is produced by the frequency according to this transformer substation's power real-time frequency and the body parameter of capacitive voltage transformer of collection to send to intelligent processing equipment.
Preferably, the secondary load analysis module 104 is connected to the intelligent processing device 106, and is configured to obtain an additional error generated by a secondary load according to a secondary load measurement result of the capacitor voltage transformer and a body parameter of the capacitor voltage transformer.
Preferably, the system further comprises: and the secondary load tester is connected with the secondary load analysis module and is used for measuring the secondary load of the capacitor voltage transformer.
The error of the CVT may vary according to the change in its secondary load, and therefore, embodiments of the present invention take into account the error introduced by the secondary load. The utility model discloses an among the embodiment, establish and examine CVT secondary load and correspond the error database to off-line test data draws load-error curve for the standard. When the online CVT error measurement is carried out, the secondary load tester carries out secondary load measurement on the tested CVT, the CVT error measured under the actual load is corrected to the actual error value of the CVT under the condition of full load operation by adopting a difference method according to a load-error curve, and the calculated value is taken as a final test result to participate in analysis. And after the secondary load analysis module completes the analysis, the additional error generated by the secondary load obtained by calculation is transmitted to the intelligent processing equipment.
Preferably, the voltage signal analysis module 105 is connected to the intelligent processing device 106, and is configured to determine a first relative error between any two capacitor voltage transformers by using a difference method according to the obtained secondary output signals of the plurality of capacitor voltage transformers.
Preferably, the voltage signal analysis module is further configured to: and converting the acquired secondary output signals of the plurality of capacitance voltage transformers into small voltage signals from large voltage signals by using the high-precision voltage sensor.
The utility model discloses an among the embodiment, utilize voltage signal analysis module to gather voltage transformer's secondary output analog signal, later turn into the little voltage signal through high accuracy voltage sensor with big voltage signal, rely on the first relative error of difference method analysis many in service voltage transformer running error between two liang to give intelligent processing equipment with this error transmission.
The voltage signal analysis module in the embodiment of the utility model internally comprises protection technologies such as overcurrent protection, voltage isolation protection and the like, thereby ensuring that the platform can not influence other devices in the operation process; meanwhile, the interior of the transformer substation is provided with a self-protection design, when the transformer substation breaks down, the platform can automatically cut off voltage signal acquisition, and the communication safety is protected.
Preferably, the intelligent processing device 106 is configured to determine a second relative error between any two capacitor voltage transformers by using a difference method according to the calculated theoretical operating error of each capacitor voltage transformer, and determine an operating state of the capacitor voltage transformer according to a deviation between a first relative error and a second relative error corresponding to the two capacitor voltage transformers;
wherein the additional error comprises: a ratio difference influence quantity and a phase difference influence quantity; the first and second relative errors each comprise: a relative error corresponding to the ratio difference and a relative error corresponding to the phase difference.
Preferably, the theoretical operating error of each capacitor voltage transformer comprises: theoretical operation errors corresponding to the ratio difference and theoretical operation errors corresponding to the phase difference;
wherein, the sum of the ratio difference influence quantity generated by the electric field, the ratio difference influence quantity generated by the frequency, the ratio difference influence quantity generated by the temperature and the ratio difference influence quantity generated by the secondary load is taken as the theoretical operation error corresponding to the ratio difference;
the sum of the phase difference influence amount due to the frequency, the phase difference influence amount due to the temperature, and the phase difference influence amount due to the secondary load is taken as a theoretical operation error corresponding to the phase difference.
For example, for a capacitor voltage transformer, if the ratio difference influence amount generated by the electric field is f1, the ratio difference influence amount generated by the frequency is f2, the ratio difference influence amount generated by the temperature is f3, and the ratio difference influence amount generated by the secondary load is f4, the theoretical operating error corresponding to the ratio difference is f1+ f2+ f3+ f 4.
If the amount of influence of the phase difference due to the frequency is δ 1, the amount of influence of the phase difference due to the temperature is δ 2, and the amount of influence of the phase difference due to the secondary load is δ 3, the theoretical operating error δ corresponding to the phase difference becomes δ 1+ δ 2+ δ 3.
Preferably, the determining, by the intelligent processing device, the operating state of the two capacitor voltage transformers according to the deviation of the first relative error and the second relative error corresponding to the two capacitor voltage transformers includes:
respectively calculating the deviation between the ratio differences and the deviation between the phase differences of the two capacitor voltage transformers;
judging the running state according to the deviation between the ratio differences and the deviation between the phase differences; if the deviation between the ratio differences of the two capacitor voltage transformers is smaller than a first preset threshold value and the deviation between the phase differences is smaller than a second preset threshold value, determining that the two capacitor voltage transformers are in a normal operation state; and otherwise, determining that the capacitor voltage transformer is in an abnormal operation state.
Preferably, the intelligent processing device is further configured to:
when one of the two capacitor voltage transformers is determined to be in an abnormal operation state, a third capacitor voltage transformer is introduced, and deviation comparison is carried out between every two capacitor voltage transformers so as to determine the capacitor voltage transformer in the abnormal state.
The utility model discloses an in the embodiment, set up first preset threshold and be 0.05%, set up the second and preset the threshold and be 2'. And for any two capacitor voltage transformers, a first relative error is obtained through a voltage signal analysis module. And the intelligent processing equipment obtains a second relative error according to the offline data of the CVT and the obtained additional error of each CVT. And determining the operation state of the capacitor voltage transformers by calculating the deviation of the first relative error and the second relative error corresponding to the two capacitor voltage transformers. Specifically, if the deviation between the comparison results is in ten-thousandth, that is, the deviation between the ratio differences is within 0.05%, and the deviation between the phase differences is within 2', it is considered that the result obtained by the calculation indicates that the obtained result is an effective value in the normal operation of the CVT. If the deviation exceeds the limit, it is considered that the CVT is in an out-of-tolerance state, and there may be an accident such as a breakdown of the capacitor unit.
When the capacitor voltage transformer is determined to be in an abnormal operation state, additional errors caused by an electric field, frequency, temperature and secondary load are respectively superposed on the off-line data of the capacitor voltage transformer, and if the deviation between the two is small, but the direct measurement result shows that the deviation is larger than the theoretical calculation deviation, one of the two is abnormal. At this time, since it is impossible to determine which of the CVTs is abnormal, it is necessary to add another CVT for comparison in the same manner. When the three CVTs are compared in pairs, if the deviation between one CVT and the remaining two CVTs is obviously larger than the theoretical calculated value, the probability that the CVT is abnormal is determined to be extremely high. In the present invention, for a line having only two CVTs, the probability of determining an abnormal CVT is 40%, and when the number of CVTs to be tested increases, the accuracy also increases.
Preferably, the display module 107 is connected to the intelligent processing device 106 for displaying data.
Preferably, the storage module 108 is connected to the intelligent processing device 106 for data storage.
Preferably, the intelligent processing device is further configured to: analyzing the measurement uncertainty of each capacitive voltage transformer; and analyzing and prejudging the future operating state of each capacitor voltage transformer according to the acquired operating data of the capacitor voltage transformer.
In the embodiment of the utility model, the intelligent processing device can calculate the uncertainty analysis of the error calculation result except the ratio difference and the phase difference of the voltage transformer; CVT operating error data can be displayed and the data can be plotted on a time axis, or other single parameter, for error trend to inform the user of the relationship between CVT change and a quantity for future operation assessment of the device. The intelligent processing device may also form a data curve from the acquired data. For example, the error variation curve on the time axis is irreversible, so when the error point of the CVT on the time axis approaches the limit value gradually, we can judge the CVT continues to operate again in advance, there is a large risk of error, and it is recommended to replace immediately. For the uncertainty, a parameter corresponding to the result is provided for each error measurement, and the user can be informed of the size of the uncertain range of the data calculated by the measurement. For example, if the calculated ratio difference is 0.12% and the uncertainty is 0.05%, the calculated result is in the range of (0.12% ± 0.05%).
Fig. 3 is a platform level diagram for analyzing the operation error of the capacitor voltage transformer according to the embodiment of the present invention. As shown in fig. 3, in the embodiment of the utility model, the parameter that carries out the analysis to capacitance voltage transformer running error contains actual secondary load, grid frequency, ambient temperature, external electric field etc. combines parameters such as off-line data, CVT own parameter, calculates the multidimension degree additional error that CVT produced in the operation process, include: the additional error generated by temperature, the additional error generated by frequency, the additional error generated by external electric field and the error generated by secondary load are transmitted to the intelligent processing device, and the accurate real error value of the CVT in operation can be obtained after processing. Each analysis module is respectively connected with an intelligent processing device, the voltage signal analysis module analyzes according to offline data and online data of the CVT, the electric field analysis module analyzes according to body parameters of the CVT, the temperature module analyzes according to the operating environment temperature of the CVT and the body parameters of the CVT, the frequency analysis module analyzes according to the real-time operating frequency of the CVT and the body parameters of the CVT, the secondary load analysis module analyzes according to the actual secondary load of the CVT and the body parameters of the CVT, and the intelligent processing device determines an operating error according to the analysis result of each module and displays and outputs the operating error. Specifically, the intelligent processing device performs inaccuracy analysis of the CVT measurement results and variation trend analysis of the CVT operation, and displays the analysis results and the operation error data on the display module.
The utility model discloses an among the embodiment, can also establish capacitive voltage transformer operational error comprehensive properties analysis platform database according to test data, and the database can be read, is convenient for seek capacitive voltage transformer's in the same operational environment, the typical transformer substation of operation error historical data. In addition, the same technical means can be adopted to carry out operation performance analysis on the measurement winding and the protection winding of the CVT.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the above disclosed are equally possible within the scope of the invention, as would be apparent to a person skilled in the art, as defined by 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.
Claims (9)
1. A system for determining an operating condition of a capacitive voltage transformer, the system comprising:
the electric field analysis module is connected with the intelligent processing equipment and used for carrying out simulation calculation based on a finite element analysis method according to the body parameters of the capacitor voltage transformer so as to obtain the ratio difference influence quantity generated by the electric field;
the temperature analysis module is connected with the intelligent processing equipment and used for acquiring an additional error generated by the temperature according to the operating environment temperature of the capacitor voltage transformer and the body parameters of the capacitor voltage transformer;
the frequency analysis module is connected with the intelligent processing equipment and used for acquiring an additional error generated by frequency according to the real-time frequency of the power supply of the transformer substation and the body parameters of the capacitor voltage transformer;
the secondary load analysis module is connected with the intelligent processing equipment and used for acquiring an additional error generated by a secondary load according to a secondary load measurement result of the capacitor voltage transformer and a body parameter of the capacitor voltage transformer;
the voltage signal analysis module is connected with the intelligent processing equipment and used for determining a first relative error between any two capacitor voltage transformers by using a difference method according to the acquired secondary output signals of the plurality of capacitor voltage transformers;
the intelligent processing equipment is used for determining a second relative error between any two capacitor voltage transformers by using a difference method according to the calculated theoretical operating error of each capacitor voltage transformer, and determining the operating state of the capacitor voltage transformers according to the deviation of the first relative error and the second relative error corresponding to the two capacitor voltage transformers; wherein the additional error comprises: a ratio difference influence quantity and a phase difference influence quantity; the first and second relative errors each comprise: a relative error corresponding to the ratio difference and a relative error corresponding to the phase difference;
the display module is connected with the intelligent processing equipment and used for displaying data;
and the storage module is connected with the intelligent processing equipment and used for storing data.
2. The system of claim 1, wherein the bulk parameters of the capacitive voltage transformer comprise: the high-voltage capacitor, the medium-voltage capacitor, the low-voltage capacitor, the height of the capacitor, the number of capacitor cores, the voltage grade, the installation position, the surrounding equipment type and the distance between the capacitor voltage transformer and the capacitor voltage transformer in an operating state.
3. The system of claim 1, wherein the theoretical operating error for each capacitive voltage transformer comprises: theoretical operation errors corresponding to the ratio difference and theoretical operation errors corresponding to the phase difference;
wherein, the sum of the ratio difference influence quantity generated by the electric field, the ratio difference influence quantity generated by the frequency, the ratio difference influence quantity generated by the temperature and the ratio difference influence quantity generated by the secondary load is taken as the theoretical operation error corresponding to the ratio difference;
the sum of the phase difference influence amount due to the frequency, the phase difference influence amount due to the temperature, and the phase difference influence amount due to the secondary load is taken as a theoretical operation error corresponding to the phase difference.
4. The system according to claim 1, wherein the intelligent processing device determines the operating status of the two capacitive voltage transformers according to the deviation of the first relative error and the second relative error corresponding to the two capacitive voltage transformers, and includes:
respectively calculating the deviation between the ratio differences and the deviation between the phase differences of the two capacitor voltage transformers;
judging the running state according to the deviation between the ratio differences and the deviation between the phase differences; if the deviation between the ratio differences of the two capacitor voltage transformers is smaller than a first preset threshold value and the deviation between the phase differences is smaller than a second preset threshold value, determining that the two capacitor voltage transformers are in a normal operation state; and otherwise, determining that the capacitor voltage transformer is in an abnormal operation state.
5. The system of claim 4, wherein the smart processing device is further configured to:
when one of the two capacitor voltage transformers is determined to be in an abnormal operation state, a third capacitor voltage transformer is introduced, and deviation comparison is carried out between every two capacitor voltage transformers so as to determine the capacitor voltage transformer in the abnormal state.
6. The system of claim 1, wherein the smart processing device is further configured to:
analyzing the measurement uncertainty of each capacitive voltage transformer; and
and analyzing and prejudging the future operating state of each capacitor voltage transformer according to the acquired operating data of each capacitor voltage transformer.
7. The system of claim 1, further comprising:
and the temperature acquisition module is connected with the temperature analysis module and used for acquiring the operating environment temperature of the capacitor voltage transformer and sending the operating environment temperature to the temperature analysis module.
8. The system of claim 1, wherein the voltage signal analysis module is further configured to:
and converting the acquired secondary output signals of the plurality of capacitance voltage transformers into small voltage signals from large voltage signals by using the high-precision voltage sensor.
9. The system of claim 1, further comprising:
and the secondary load tester is connected with the secondary load analysis module and is used for measuring the secondary load of the capacitor voltage transformer.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113203906A (en) * | 2021-04-30 | 2021-08-03 | 国网重庆市电力公司电力科学研究院 | Real-time monitoring method and device for voltage transformer |
| CN113702895A (en) * | 2021-10-28 | 2021-11-26 | 华中科技大学 | Online quantitative evaluation method for error state of voltage transformer |
| CN114065114A (en) * | 2022-01-17 | 2022-02-18 | 武汉格蓝若智能技术有限公司 | Method and system for predicting metering error of capacitive voltage transformer |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113203906A (en) * | 2021-04-30 | 2021-08-03 | 国网重庆市电力公司电力科学研究院 | Real-time monitoring method and device for voltage transformer |
| CN113702895A (en) * | 2021-10-28 | 2021-11-26 | 华中科技大学 | Online quantitative evaluation method for error state of voltage transformer |
| CN113702895B (en) * | 2021-10-28 | 2022-02-08 | 华中科技大学 | Online quantitative evaluation method for error state of voltage transformer |
| CN114065114A (en) * | 2022-01-17 | 2022-02-18 | 武汉格蓝若智能技术有限公司 | Method and system for predicting metering error of capacitive voltage transformer |
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