CN114814645B - On-line analysis method and related device for capacitor voltage transformer - Google Patents

On-line analysis method and related device for capacitor voltage transformer Download PDF

Info

Publication number
CN114814645B
CN114814645B CN202210732717.XA CN202210732717A CN114814645B CN 114814645 B CN114814645 B CN 114814645B CN 202210732717 A CN202210732717 A CN 202210732717A CN 114814645 B CN114814645 B CN 114814645B
Authority
CN
China
Prior art keywords
voltage
deviation ratio
transformer
historical
voltage transformer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202210732717.XA
Other languages
Chinese (zh)
Other versions
CN114814645A (en
Inventor
王俊波
熊仕斌
蒋维
罗容波
陈贤熙
曾庆辉
刘崧
张殷
李新
宋安琪
刘少辉
马榕嵘
梁年柏
李兰茵
涂琬婧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Foshan Power Supply Bureau of Guangdong Power Grid Corp
Original Assignee
Foshan Power Supply Bureau of Guangdong Power Grid Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Foshan Power Supply Bureau of Guangdong Power Grid Corp filed Critical Foshan Power Supply Bureau of Guangdong Power Grid Corp
Priority to CN202210732717.XA priority Critical patent/CN114814645B/en
Publication of CN114814645A publication Critical patent/CN114814645A/en
Application granted granted Critical
Publication of CN114814645B publication Critical patent/CN114814645B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52Testing for short-circuits, leakage current or ground faults
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R27/00Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
    • G01R27/02Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
    • G01R27/26Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
    • G01R27/2605Measuring capacitance
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00Testing or calibrating of apparatus covered by the other groups of this subclass
    • G01R35/02Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Algebra (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
  • Measurement Of Resistance Or Impedance (AREA)

Abstract

The application discloses a capacitive voltage transformer online analysis method and a related device, wherein the method comprises the following steps: acquiring historical data of secondary voltage of a capacitor voltage transformer to be tested on line and historical data of sleeve capacitance and leakage current on the corresponding side of a main transformer to which the capacitor voltage transformer to be tested is connected; calculating the absolute deviation rate of the voltage, taking the absolute deviation rate as a first evaluation index, and judging whether the absolute deviation rate of the voltage meets an abnormal standard; when the first evaluation index abnormal standard is met, starting an abnormal alarm; when the first evaluation index abnormal standard is not met, calculating the voltage relative deviation ratio as a second evaluation index, judging whether the second evaluation index abnormal standard is met, and starting an abnormal alarm when the second evaluation index abnormal standard is met; and when the second evaluation index abnormal standard is not met, returning to execute the acquisition of the secondary voltage historical data of the capacitor voltage transformer to be tested, thereby solving the technical problem that the prior art cannot simultaneously consider real-time property, universality and sensitivity.

Description

Online analysis method and related device for capacitive voltage transformer
Technical Field
The application relates to the technical field of power equipment state analysis, in particular to an online analysis method and a related device for a capacitor voltage transformer.
Background
The capacitor voltage transformer is one of main devices in a transformer substation with the voltage of 35kV and above, and mainly plays two important roles in a power system: firstly, the high voltage of a bus or a line is converted into a low voltage which can be directly measured and is sent to a measurement and control device and a protection device, so that the voltage measurement and relay protection functions are realized; and secondly, synchronization and no voltage detection are carried out on a connecting line with two power supply points, so that the voltages, frequencies, phases and the like at two ends of the connecting circuit breaker meet synchronization conditions. In view of the above-mentioned important role of the capacitive voltage transformer in the power system, it must be ensured that it cannot operate in a faulty manner.
At present, two methods are mainly used for analyzing the state of a capacitor voltage transformer; the method for evaluating the health state by using the historical data of the secondary voltage of the capacitive voltage transformer makes up the problem of insufficient real-time performance of periodical power failure preventive test detection, and the provided method needs to perform power grid topology analysis, find out all equipment of the same electrical node and then perform transverse comparison, so that at least one piece of equipment of the same electrical node needs to exist, but the equipment of the same electrical node does not exist in the equipment of the wired transformer group connection equipment and the equipment of the hot standby state, so that the provided method is invalid, namely, the method has obvious defects in universality; the method for evaluating the health state by utilizing the real-time secondary voltage data and the prediction data of the capacitor voltage transformer is greatly improved in universality, but when data prediction is carried out, boundary conditions are inevitably required to be set, the prediction value is deviated due to the limitation of the boundary conditions and the inherent accuracy of the prediction method, and the method takes the prediction value as a reference, so that the reference value possibly has errors and obvious defects in sensitivity are caused. Obviously, the existing evaluation method for the health state of the capacitive voltage transformer cannot simultaneously give consideration to real-time property, universality and sensitivity.
Disclosure of Invention
The application provides an online analysis method and a related device for a capacitor voltage transformer, which are used for solving the technical problem that the prior art cannot simultaneously take real-time property, universality and sensitivity into consideration.
In view of the above, a first aspect of the present application provides an online analysis method for a capacitor voltage transformer, where the method includes:
s1, acquiring secondary voltage historical data of the capacitor voltage transformer to be analyzed and online monitoring historical data of capacitance and leakage current of a bushing on the corresponding side of a main transformer which is connected with the capacitor voltage transformer to be analyzed in a hanging mode;
s2, calculating the voltage absolute deviation ratio according to secondary voltage historical data, capacitance and leakage current online monitoring historical data based on a voltage absolute deviation ratio calculation formula;
s3, when the voltage absolute deviation ratio is not in the preset range, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step S4;
s4, calculating a voltage relative deviation ratio according to secondary voltage historical data, capacitance and leakage current online monitoring historical data based on a voltage relative deviation ratio calculation formula;
and S5, when the voltage relative deviation ratio is not equal to the preset deviation value, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step S1.
Optionally, when the absolute deviation ratio of the voltage is not within the preset range, it is determined that the to-be-analyzed capacitive voltage transformer is in an abnormal state, otherwise, step S4 is executed, which specifically includes:
and when the absolute deviation ratio of the voltage is less than or equal to 0 or more than or equal to 1, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, and sending an alarm signal, otherwise, executing the step S4.
Optionally, the voltage absolute deviation ratio calculation formula specifically includes:
Figure 136511DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 153009DEST_PATH_IMAGE002
is the ratio of the absolute deviation of the voltage,
Figure 585740DEST_PATH_IMAGE003
as the number of the secondary voltage data taken,
Figure 29490DEST_PATH_IMAGE004
for the second voltage history data arranged from small to large according to the time tablepThe value of the secondary voltage is determined,
Figure 245708DEST_PATH_IMAGE005
arranging the historical data of the leakage current of the end screen on line monitored by the taken casing from small to large according to the time tableFirst, thepThe value of the secondary voltage is determined,
Figure 65897DEST_PATH_IMAGE006
the first to the second of the online monitoring of the capacitance historical data for the taken casing according to the time tablepAnd (4) the secondary voltage value.
Optionally, the voltage relative deviation ratio calculation formula specifically includes:
Figure 356064DEST_PATH_IMAGE007
in the formula (I), the compound is shown in the specification,
Figure 298612DEST_PATH_IMAGE008
is the relative deviation ratio of the voltages and,
Figure 674229DEST_PATH_IMAGE009
p=0,1,...m) In order to be a coefficient of fit,
Figure 32530DEST_PATH_IMAGE010
is the individual degree of difference of the fitting coefficients.
A second aspect of the present application provides an online analysis system for a capacitor voltage transformer, the system comprising:
the device comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring secondary voltage historical data of a capacitor voltage transformer to be analyzed and online monitoring historical data of capacitance and leakage current of a bushing on the corresponding side of a main transformer which is hung and connected with the capacitor voltage transformer to be analyzed;
the first calculation unit is used for calculating the voltage absolute deviation ratio according to secondary voltage historical data, capacitance and online monitoring historical data of leakage current based on a voltage absolute deviation ratio calculation formula;
the first analysis unit is used for judging that the capacitor voltage transformer to be analyzed is in an abnormal state when the absolute voltage deviation ratio is not in a preset range, and otherwise, the second calculation unit is triggered;
the second calculation unit is used for calculating the voltage relative deviation ratio according to secondary voltage historical data, capacitance and online monitoring historical data of leakage current based on a voltage relative deviation ratio calculation formula;
and the second analysis unit is used for judging that the capacitor voltage transformer to be analyzed is in an abnormal state when the voltage relative deviation ratio is not equal to the preset deviation value, and otherwise, triggering the acquisition unit.
Optionally, the first analysis unit is specifically configured to:
and when the voltage absolute deviation ratio is less than or equal to 0 or more than or equal to 1, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, and sending an alarm signal, otherwise, triggering a second calculation unit.
Optionally, the voltage absolute deviation ratio calculation formula specifically includes:
Figure 505099DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 290653DEST_PATH_IMAGE002
is the ratio of the absolute deviation of the voltage,
Figure 215883DEST_PATH_IMAGE003
as the number of the secondary voltage data taken,
Figure 377874DEST_PATH_IMAGE004
for the second voltage history data arranged from small to large according to the time tablepThe value of the secondary voltage is determined,
Figure 663141DEST_PATH_IMAGE005
the first step of arranging the historical data of the leakage current of the end screen of the taken casing on line according to the time table from small to largepThe value of the secondary voltage is calculated by the following formula,
Figure 947492DEST_PATH_IMAGE006
the first to the second of the online monitoring of the capacitance historical data for the taken casing according to the time tablepThe secondary voltage value.
Optionally, the voltage relative deviation ratio calculation formula specifically includes:
Figure 297702DEST_PATH_IMAGE007
in the formula (I), the compound is shown in the specification,
Figure 997805DEST_PATH_IMAGE008
is the relative rate of deviation of said voltage,
Figure 179388DEST_PATH_IMAGE009
p=0,1,...m) In order to be a coefficient of fit,
Figure 572323DEST_PATH_IMAGE010
is the individual degree of difference of the fitting coefficients.
A third aspect of the present application provides an online analysis device for a capacitor voltage transformer, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the steps of the online analysis method for a capacitive voltage transformer according to the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium for storing program codes for performing the on-line analysis method for a capacitor voltage transformer according to the first aspect.
According to the technical scheme, the method has the following advantages:
the application provides an online analysis method of a capacitor voltage transformer, which comprises the following steps: s1, acquiring historical secondary voltage data of the capacitor voltage transformer to be analyzed and historical online monitoring data of capacitance and leakage current of a bushing on the corresponding side of the main transformer, to which the capacitor voltage transformer to be analyzed is connected; s2, calculating the voltage absolute deviation ratio according to the secondary voltage historical data, the capacitance and the online monitoring historical data of the leakage current based on a voltage absolute deviation ratio calculation formula; s3, when the absolute deviation ratio of the voltage is not in the preset range, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step S4; s4, calculating the voltage relative deviation ratio according to the secondary voltage historical data, the capacitance and the online monitoring historical data of the leakage current based on a voltage relative deviation ratio calculation formula; and S5, when the voltage relative deviation ratio is not equal to the preset deviation value, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step S1.
According to the online analysis method for the capacitor voltage transformer, historical secondary voltage data of the capacitor voltage transformer to be tested online are obtained; acquiring online monitoring historical data of sleeve capacitance and leakage current at the corresponding side of a main transformer articulated with a capacitor voltage transformer to be tested online; calculating the voltage absolute deviation rate as a first evaluation index; judging whether the abnormal standard is met; when the first evaluation index abnormal standard is met, starting an abnormal alarm; when the first evaluation index abnormal standard is not met, calculating the voltage relative deviation ratio as a second evaluation index; judging whether the abnormal standard is met; when the second evaluation index abnormal standard is met, starting an abnormal alarm; and when the second evaluation index abnormal standard is not met, returning to execute the acquisition of the secondary voltage historical data of the capacitor voltage transformer to be tested. Compared with the prior art, the method and the device have the advantages that the dispatching automation system and the main transformer bushing online monitoring system are utilized to perform correlation analysis on the secondary voltage of the capacitor voltage transformer and the voltage of the main transformer bushing end connected, the abnormal detection of the capacitor voltage transformer is realized online, the health state evaluation of all the capacitor voltage transformers can be realized in real time and sensitively, and the technical problem that the real-time performance, the universality and the sensitivity cannot be simultaneously considered in the prior art is solved.
Drawings
Fig. 1 is an embodiment of an online analysis method for a capacitive voltage transformer provided in an embodiment of the present application;
fig. 2 is an embodiment of an online analysis system for a capacitor voltage transformer provided in an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Referring to fig. 1, an online analysis method for a capacitive voltage transformer provided in an embodiment of the present application includes:
step 101, acquiring secondary voltage historical data of a capacitor voltage transformer to be analyzed and online monitoring historical data of capacitance and leakage current of a bushing on the corresponding side of a main transformer which is connected with the capacitor voltage transformer to be analyzed in a hanging mode;
it should be noted that historical data of secondary voltages of the capacitor voltage transformers to be analyzed online are acquired, the historical data of the secondary voltages of the capacitor voltage transformers since production is stored in an SCADA database of a dispatching automation system, and although the secondary voltages of the capacitor voltage transformers are measured in real time on the equipment side, the data of a time point is uploaded to the database and stored at intervals of 15min (the database is uploaded according to time nodes of 9:00, 9:15, 9:30 and 9: 45). And accessing the SCADA database of the dispatching automation system in an ftp mode to obtain the historical data of the secondary voltage of the capacitor voltage transformer to be tested on line, wherein the data carries GPS time scales. And acquiring historical online monitoring data of sleeve capacitance and leakage current at the corresponding side of a main transformer hooked by a capacitor voltage transformer to be tested online, wherein the sleeve capacitance and the leakage current of the main transformer are in a real-time monitoring state at an equipment end, but the data of a time point is uploaded to a database of an online monitoring system of the sleeve of the main transformer at intervals of 15min and stored (the database is uploaded according to time nodes of 9:00, 9:15, 9:30 and 9: 45). And accessing a database of a main transformer bushing online monitoring system in a DBlink mode to obtain bushing capacitance and leakage current online monitoring historical data of a corresponding side of a main transformer to which the capacitor voltage transformer to be tested is connected in an online manner, wherein the data has GPS time scales, and the data amount and the time point are in one-to-one correspondence with the secondary voltage historical data.
102, calculating a voltage absolute deviation ratio according to secondary voltage historical data, capacitance and leakage current online monitoring historical data based on a voltage absolute deviation ratio calculation formula;
103, when the absolute voltage deviation ratio is not in a preset range, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing a step 104;
with respect to step 102-103, it should be noted that the absolute deviation ratio of the voltage of the present embodiment is used as the first evaluation index, the absolute deviation ratio of the voltage is represented by α, the calculation formula is as follows, and the difference between the average value of the history data of the secondary voltage and the average value of the terminal voltage of the bushing is represented by ΔU 1 Delta representing the difference between the average of the secondary voltage history data and the nominal voltage of the systemU 2 It is shown that the absolute deviation ratio α of voltage is ΔU 1 And ΔU 2 When a ratio ofU 1 Over ΔU 2 When the capacitance voltage transformer is considered to be abnormal, an alarm is generated, namely the non-alarm interval is more than 0 and less than alpha and less than 1.
Figure 472146DEST_PATH_IMAGE011
In the formulaU meas.av Represents an average of the secondary voltage history data taken,U bush.av represents the average of calculated values of the terminal voltage of the bushing,U bm indicating the nominal value of the system voltage (when the voltage level is determined,U bm is a constant number),nindicates the number of the secondary voltage data taken,u p a p-th secondary voltage value representing the order of the taken secondary voltage history data from small to large according to the time table,i p indicating the removed cannula is inThe p-th secondary voltage value of the historical data of the line monitor end screen leakage current is arranged from small to large according to a time table,c p and the p-th secondary voltage value represents the historical data of the online monitored capacitance of the taken casing, which is arranged from small to large according to a time table.
104, calculating a voltage relative deviation ratio according to secondary voltage historical data, capacitance and leakage current online monitoring historical data based on a voltage relative deviation ratio calculation formula;
and 105, when the voltage relative deviation ratio is not equal to the preset deviation value, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step 101.
For the step 104-105, it should be noted that the present embodiment uses the voltage relative deviation ratio as the second evaluation index, and the voltage relative deviation ratio is usedβIt is shown that,βthe calculation needs to rely on the functional relationship of the secondary voltage measurement value and the calculated value of the bushing terminal voltage. Due to secondary voltage measurementu p Calculated value of terminal voltage of bushing
Figure 975939DEST_PATH_IMAGE012
So that there is a functional relationship between the two and can be determined by means of data fitting, then:
Figure 825078DEST_PATH_IMAGE013
that is:
Figure 451231DEST_PATH_IMAGE014
in the formula
Figure 773104DEST_PATH_IMAGE009
(p =0,1,. m) represents a fitting coefficient.
By minimizing the error e, it is possible to obtain
Figure 815009DEST_PATH_IMAGE009
The formula for e is as follows:
Figure 908867DEST_PATH_IMAGE015
in the formula
Figure 643605DEST_PATH_IMAGE016
Representing the actual value of the secondary voltage history data,
Figure 252441DEST_PATH_IMAGE017
representing the fitted value of the secondary voltage historical data.
The above relationship can be expressed in a matrix as:
Figure 363616DEST_PATH_IMAGE018
the fitting coefficient can be obtained from the acquired secondary voltage historical data:
Figure 311980DEST_PATH_IMAGE019
discarding the latest measurement value of the table when the acquired secondary voltage history data is discarded, i.e. discarding
Figure 279936DEST_PATH_IMAGE020
And fitting again, then:
Figure 313752DEST_PATH_IMAGE021
the fitting coefficients can be found again:
Figure 697459DEST_PATH_IMAGE022
then, a relative deviation ratio of the second evaluation index voltage is obtained
Figure 828227DEST_PATH_IMAGE008
Can be characterized by the group difference degree of the fitting coefficient, and the calculation formula is as follows
Figure 901837DEST_PATH_IMAGE023
And if so, judging that the capacitance voltage transformer is abnormal, generating an alarm, otherwise, returning to the step 101.
Figure 360632DEST_PATH_IMAGE007
Wherein
Figure 548030DEST_PATH_IMAGE010
The individual difference degree of the fitting coefficient is expressed by the following calculation formula, wherein 0.97 and 1.05 are empirical values.
Figure 346353DEST_PATH_IMAGE024
In the online analysis method for the capacitive voltage transformer provided by the embodiment, historical data of secondary voltage of the capacitive voltage transformer to be tested online is acquired; acquiring online monitoring historical data of sleeve capacitance and leakage current at the corresponding side of a main transformer articulated with a capacitor voltage transformer to be tested online; calculating a voltage absolute deviation ratio as a first evaluation index; judging whether the abnormal standard is met; when the first evaluation index abnormal standard is met, starting an abnormal alarm; when the first evaluation index abnormal standard is not met, calculating the voltage relative deviation ratio as a second evaluation index; judging whether the abnormal standard is met or not; when the second evaluation index abnormal standard is met, starting an abnormal alarm; and when the second evaluation index abnormal standard is not met, returning to execute the acquisition of the secondary voltage historical data of the capacitor voltage transformer to be tested. Compared with the prior art, the method and the device have the advantages that the dispatching automation system and the main transformer bushing online monitoring system are utilized to perform correlation analysis on the secondary voltage of the capacitor voltage transformer and the voltage of the main transformer bushing end connected, the abnormal detection of the capacitor voltage transformer is realized online, the health state evaluation of all the capacitor voltage transformers can be realized in real time and sensitively, and the technical problem that the real-time performance, the universality and the sensitivity cannot be simultaneously considered in the prior art is solved.
The above is an embodiment of an online analysis method for a capacitive voltage transformer provided in the embodiment of the present application, and the following is an embodiment of an online analysis system for a capacitive voltage transformer provided in the embodiment of the present application.
Referring to fig. 2, an online analysis method for a capacitive voltage transformer provided in an embodiment of the present application includes:
the acquisition unit 201 is configured to acquire historical secondary voltage data of the capacitor voltage transformer to be analyzed, and historical online monitoring data of capacitance and leakage current of a bushing on a side corresponding to a main transformer to which the capacitor voltage transformer to be analyzed is connected;
a first calculating unit 202 for calculating a voltage absolute deviation ratio based on a voltage absolute deviation ratio calculation formula according to secondary voltage history data, capacitance and on-line monitoring history data of leakage current;
the first analysis unit 203 is used for judging that the capacitor voltage transformer to be analyzed is in an abnormal state when the absolute voltage deviation ratio is not in a preset range, and otherwise, triggering the second calculation unit;
a second calculating unit 204 for calculating a voltage relative deviation ratio from the secondary voltage history data, the capacitance and the on-line monitoring history data of the leakage current based on a voltage relative deviation ratio calculation formula;
and the second analysis unit 205 is configured to determine that the to-be-analyzed capacitive voltage transformer is in an abnormal state when the voltage relative deviation ratio is not equal to the preset deviation value, and otherwise, trigger the acquisition unit.
Further, the embodiment of the present application further provides an online analysis device for a capacitor voltage transformer, where the device includes a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the online analysis method of the capacitor voltage transformer according to the instructions in the program code.
Further, an embodiment of the present application also provides a computer-readable storage medium, where the computer-readable storage medium is used for storing program codes, and the program codes are used for executing the online analysis method for the capacitor voltage transformer described in the above method embodiment.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The terms "first," "second," "third," "fourth," and the like in the description of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the application described herein may be implemented, for example, in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that in the present application, "at least one" means one or more, "a plurality" means two or more. "and/or" for describing an association relationship of associated objects, indicating that there may be three relationships, e.g., "a and/or B" may indicate: only A, only B and both A and B are present, wherein A and B may be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of single item(s) or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present application.

Claims (6)

1. An on-line analysis method for a capacitor voltage transformer is characterized by comprising the following steps:
s1, acquiring historical secondary voltage data of the capacitor voltage transformer to be analyzed and historical online monitoring data of capacitance and leakage current of a bushing on the corresponding side of the main transformer, to which the capacitor voltage transformer to be analyzed is connected;
s2, calculating the voltage absolute deviation ratio according to secondary voltage historical data, capacitance and leakage current online monitoring historical data based on a voltage absolute deviation ratio calculation formula;
the voltage absolute deviation ratio calculation formula specifically includes:
Figure 358137DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 412812DEST_PATH_IMAGE002
is the ratio of the absolute deviation of the voltage,
Figure 750253DEST_PATH_IMAGE003
as the number of the secondary voltage data taken,
Figure 203843DEST_PATH_IMAGE004
arranging the acquired secondary voltage historical data from small to large according to a time tablepThe value of the secondary voltage is determined,
Figure 601327DEST_PATH_IMAGE005
the p-th leakage current value of the online monitoring end screen leakage current historical data of the taken casing is arranged from small to large according to a time table,
Figure 205614DEST_PATH_IMAGE006
the p-th capacitance value of the online monitoring capacitance historical data of the taken casing is arranged from small to large according to a time table,
Figure 284429DEST_PATH_IMAGE007
is the nominal value of the system voltage;
s3, when the voltage absolute deviation ratio is not in the preset range, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step S4;
s4, calculating a voltage relative deviation ratio according to secondary voltage historical data, capacitance and leakage current online monitoring historical data based on a voltage relative deviation ratio calculation formula;
the voltage relative deviation ratio calculation formula specifically includes:
Figure 657772DEST_PATH_IMAGE008
in the formula (I), the compound is shown in the specification,
Figure 242469DEST_PATH_IMAGE009
is the relative deviation ratio of the voltages and,
Figure 255424DEST_PATH_IMAGE010
in order to be a coefficient of fit,
Figure 137929DEST_PATH_IMAGE011
is the individual degree of difference of the fitting coefficients,
Figure 300533DEST_PATH_IMAGE012
fitting coefficients that are a function of historical measurements of secondary voltages and historical calculations,
Figure 305398DEST_PATH_IMAGE013
discarding the latest data of the time scale for the secondary voltage historical measured value and the historical calculated value, and fitting the secondary voltage historical measured value and the historical calculated value again;
and S5, when the voltage relative deviation ratio is not equal to the preset deviation value, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, executing the step S1.
2. The on-line analysis method for the capacitor voltage transformer according to claim 1, wherein when the absolute deviation ratio of the voltage is not within a preset range, it is determined that the capacitor voltage transformer to be analyzed is in an abnormal state, otherwise, step S4 is executed, specifically including:
and when the absolute deviation ratio of the voltage is less than or equal to 0 or more than or equal to 1, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, and sending an alarm signal, otherwise, executing the step S4.
3. An on-line analysis system for a capacitive voltage transformer, comprising:
the device comprises an acquisition unit, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring secondary voltage historical data of a capacitor voltage transformer to be analyzed and online monitoring historical data of capacitance and leakage current of a bushing on the corresponding side of a main transformer which is hung and connected with the capacitor voltage transformer to be analyzed;
the first calculation unit is used for calculating the voltage absolute deviation ratio according to secondary voltage historical data, capacitance and online monitoring historical data of leakage current based on a voltage absolute deviation ratio calculation formula;
the voltage absolute deviation ratio calculation formula specifically includes:
Figure 556382DEST_PATH_IMAGE001
in the formula (I), the compound is shown in the specification,
Figure 39316DEST_PATH_IMAGE002
is the ratio of the absolute deviation of the voltage,
Figure 324935DEST_PATH_IMAGE003
as the number of the secondary voltage data taken,
Figure 500701DEST_PATH_IMAGE004
for the second voltage history data arranged from small to large according to the time tablepThe value of the secondary voltage is determined,
Figure 425932DEST_PATH_IMAGE005
the p-th leakage current value of the historical data of the leakage current of the online monitor end screen of the taken casing is arranged from small to large according to a time table,
Figure 463289DEST_PATH_IMAGE006
the p-th capacitance value of the online monitoring capacitance historical data of the taken casing is arranged from small to large according to a time table,
Figure 587103DEST_PATH_IMAGE007
is the nominal value of the system voltage;
the first analysis unit is used for judging that the to-be-analyzed capacitive voltage transformer is in an abnormal state when the voltage absolute deviation ratio is not in a preset range, and otherwise, triggering the second calculation unit;
the second calculation unit is used for calculating the voltage relative deviation ratio according to secondary voltage historical data, capacitance and online monitoring historical data of leakage current based on a voltage relative deviation ratio calculation formula;
the voltage relative deviation ratio calculation formula specifically includes:
Figure 681574DEST_PATH_IMAGE008
in the formula (I), the compound is shown in the specification,
Figure 156417DEST_PATH_IMAGE009
is the relative deviation ratio of the voltages and,
Figure 997465DEST_PATH_IMAGE010
in order to be a coefficient of fit,
Figure 241365DEST_PATH_IMAGE011
is the individual degree of difference of the fitting coefficients,
Figure 431038DEST_PATH_IMAGE012
fitting coefficients that are a function of historical measurements of secondary voltages and historical calculations,
Figure 143910DEST_PATH_IMAGE013
discarding the latest data of the time scales for the historical measured value and the historical calculated value of the secondary voltage, and then fitting the data again;
and the second analysis unit is used for judging that the capacitor voltage transformer to be analyzed is in an abnormal state when the voltage relative deviation ratio is not equal to the preset deviation value, and otherwise, triggering the acquisition unit.
4. The on-line analysis system of the capacitor voltage transformer of claim 3, wherein the first analysis unit is specifically configured to:
and when the absolute deviation ratio of the voltage is less than or equal to 0 or more than or equal to 1, judging that the capacitor voltage transformer to be analyzed is in an abnormal state, sending an alarm signal, and otherwise, triggering a second calculating unit.
5. An on-line analysis device for a capacitive voltage transformer, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the on-line analysis method of the capacitor voltage transformer according to any one of claims 1-2 according to instructions in the program code.
6. A computer-readable storage medium, characterized in that the computer-readable storage medium is configured to store program code for executing the capacitive voltage transformer online analysis method of any one of claims 1-2.
CN202210732717.XA 2022-06-27 2022-06-27 On-line analysis method and related device for capacitor voltage transformer Active CN114814645B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210732717.XA CN114814645B (en) 2022-06-27 2022-06-27 On-line analysis method and related device for capacitor voltage transformer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210732717.XA CN114814645B (en) 2022-06-27 2022-06-27 On-line analysis method and related device for capacitor voltage transformer

Publications (2)

Publication Number Publication Date
CN114814645A CN114814645A (en) 2022-07-29
CN114814645B true CN114814645B (en) 2022-09-13

Family

ID=82522824

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210732717.XA Active CN114814645B (en) 2022-06-27 2022-06-27 On-line analysis method and related device for capacitor voltage transformer

Country Status (1)

Country Link
CN (1) CN114814645B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117110976B (en) * 2023-10-24 2024-02-06 烽台科技(北京)有限公司 Ammeter anomaly detection method and device, electronic equipment and storage medium

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008021020A (en) * 2006-07-11 2008-01-31 Hitachi Information & Control Solutions Ltd Sales plan creation support system
KR20140038173A (en) * 2012-09-20 2014-03-28 한국전력공사 Apparatus and method for management partial discharge signal
CN106206346A (en) * 2015-05-27 2016-12-07 郑芳田 Measurement Sampling Method with Sampling Rate Determination Mechanism
CN107544046A (en) * 2016-06-24 2018-01-05 中国电力科学研究院 A kind of online error measuring system of voltage transformer and method
CN110082698A (en) * 2019-04-16 2019-08-02 贵州电网有限责任公司 A kind of capacitance type potential transformer integrated operation status assessment analogue system
CN111598225A (en) * 2020-05-15 2020-08-28 西安建筑科技大学 Air conditioner cold load prediction method based on adaptive deep confidence network
CN113297797A (en) * 2021-06-02 2021-08-24 东南大学 XGboost-based electronic transformer measurement error state evaluation method and device
CN114397616A (en) * 2021-12-31 2022-04-26 国网重庆市电力公司璧山供电分公司 Dry-type mutual inductor detection method and device

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008021020A (en) * 2006-07-11 2008-01-31 Hitachi Information & Control Solutions Ltd Sales plan creation support system
KR20140038173A (en) * 2012-09-20 2014-03-28 한국전력공사 Apparatus and method for management partial discharge signal
CN106206346A (en) * 2015-05-27 2016-12-07 郑芳田 Measurement Sampling Method with Sampling Rate Determination Mechanism
CN107544046A (en) * 2016-06-24 2018-01-05 中国电力科学研究院 A kind of online error measuring system of voltage transformer and method
CN110082698A (en) * 2019-04-16 2019-08-02 贵州电网有限责任公司 A kind of capacitance type potential transformer integrated operation status assessment analogue system
CN111598225A (en) * 2020-05-15 2020-08-28 西安建筑科技大学 Air conditioner cold load prediction method based on adaptive deep confidence network
CN113297797A (en) * 2021-06-02 2021-08-24 东南大学 XGboost-based electronic transformer measurement error state evaluation method and device
CN114397616A (en) * 2021-12-31 2022-04-26 国网重庆市电力公司璧山供电分公司 Dry-type mutual inductor detection method and device

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
一种基于广域量测的电容式电压互感器运行状态评估方法;代宇涵等;《四川电力技术》;20190630;第42卷(第3期);第39-43页 *
基于能量管理系统数据的电容式电压互感器二次电压在线监测在绝缘诊断中的应用;邱太洪等;《绝缘材料》;20190131(第1期);第68-72页 *
油色谱在线监测设备现场校验流程及案例分析;李兰茵等;《电工技术》;20220531(第9期);第119-121页 *

Also Published As

Publication number Publication date
CN114814645A (en) 2022-07-29

Similar Documents

Publication Publication Date Title
CN109444791A (en) A kind of capacitance type potential transformer error state appraisal procedure and system
CN112098915B (en) Method for evaluating secondary errors of multiple voltage transformers under double-bus segmented wiring
EP2806572A1 (en) Detecting and locating power outages via low voltage grid mapping
CN108696368B (en) Network element health state detection method and equipment
CN114814645B (en) On-line analysis method and related device for capacitor voltage transformer
CN108418304B (en) Transformer substation secondary circuit state monitoring method, device and system
CN105074598A (en) System and method for power transmission and distribution asset condition prediction and diagnosis
CN106605150A (en) Transformer parameter estimation using terminal measurements
CN116879662A (en) Transformer fault detection method based on data analysis
JP2018169161A (en) Deterioration diagnosis apparatus, deterioration diagnosis method, and deterioration diagnosis system for battery
JP6164311B1 (en) Information processing apparatus, information processing method, and program
WO2016136391A1 (en) Fault point locating device and method, electric power system monitoring system, and facility planning support system
CN109916496A (en) A kind of monitoring method and system of electronic scale
CN108761159B (en) Metering device detection system based on wide-area synchronous measurement electric energy meter
CN116660703B (en) Distribution network system insulation fault on-line monitoring system based on data analysis
CN109933883A (en) A kind of current in resistance property Growth Rate Calculation method based on multiple linear regression
CN113945801B (en) Power distribution network fault positioning method, device, equipment and storage medium
KR20160096364A (en) An Estimation Method of Line Parameter based on Synchrophasor Measurements in Power System
CN115062026A (en) Power consumption data detection method and device, electronic equipment and storage medium
CN105656453B (en) A kind of optical fiber current mutual inductor random noise Real-Time Filtering method based on time series
CN115032461A (en) Method and related device for diagnosing capacitance abnormality of CVT (constant voltage transformer) without bus
CN104280582A (en) Resistive current correction method, connector and resistive current tester
CN108693164B (en) Temperature demodulation method, device and system based on optical fiber Raman scattering signal
JP7044170B2 (en) Anomaly detectors, methods, and programs
Vuong et al. Detection and identification of topological errors from real-time measurements reconciliation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant