CN114152899A - Overload operation management and control system for distribution transformer - Google Patents
Overload operation management and control system for distribution transformer Download PDFInfo
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- CN114152899A CN114152899A CN202111521291.5A CN202111521291A CN114152899A CN 114152899 A CN114152899 A CN 114152899A CN 202111521291 A CN202111521291 A CN 202111521291A CN 114152899 A CN114152899 A CN 114152899A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The invention discloses an operation overload control system for a distribution transformer, which belongs to the field of distribution transformers and is used for solving the problems that the distribution transformer does not combine three-phase meter data with operation data for abnormal judgment and does not combine abnormal conditions for differential display, and the system comprises a grading display module, an operation analysis module, an abnormal judgment module and a data analysis module, wherein the data analysis module is used for analyzing the three-phase data of the distribution transformer, the operation analysis module is used for analyzing the operation conditions of the distribution transformer, the abnormal judgment module is used for judging the working conditions of the distribution transformer abnormally, the grading display module is used for grading and displaying a normal working signal, a working maintenance signal or a working fault signal, the invention combines the operation data of the distribution transformer with the three-phase meter data of the distribution transformer for abnormal judgment, meanwhile, differential display is achieved according to the abnormal conditions of the distribution transformer.
Description
Technical Field
The invention belongs to the field of distribution transformers, relates to an operation management and control technology, and particularly relates to an operation overload management and control system for a distribution transformer.
Background
The distribution transformer is a static electrical appliance which transforms alternating-current voltage and current according to an electromagnetic induction law in a distribution system to transmit alternating-current energy, a power transformer with the voltage level below 35 kilovolts is called as a distribution transformer in some regions, and the place where the distribution transformer is installed are substations;
in the prior art, the basis of overload control of the operation of the distribution transformer is mostly data of a three-phase meter, the operation data of the distribution transformer is not combined, the data of the three-phase meter and the operation data are not combined for carrying out abnormity judgment, and meanwhile, differentiation display is not carried out aiming at the abnormal condition;
to this end, we propose an operation overload management and control system for distribution transformers.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an operation overload management and control system for a distribution transformer.
The technical problem to be solved by the invention is as follows:
(1) how to combine the operation data of the distribution transformer with the three-phase meter data of the distribution transformer to carry out abnormity judgment;
(2) how to realize differential display according to the abnormal conditions of the distribution transformer.
The purpose of the invention can be realized by the following technical scheme:
an operation overload control system for a distribution transformer comprises a data acquisition module, a grading display module, an operation analysis module, an abnormity judgment module, a data analysis module and a server, wherein the data acquisition module is used for acquiring three-phase data and operation data of the distribution transformer, and transmits the three-phase data and the operation data to a server, the server transmits the operation data of the distribution transformer to an operation analysis module, the server sends the three-phase data of the distribution transformer to a data analysis module, the data analysis module is used for analyzing the three-phase data of the distribution transformer to obtain a data abnormal value SYu of the distribution transformer, the data analysis module feeds back the data abnormal value SYu of the distribution transformer to the server, and the server sends the data abnormal value of the distribution transformer to the abnormal judgment module;
the operation analysis module is used for analyzing the operation condition of the distribution transformer, analyzing to obtain an operation abnormal value YYu of the distribution transformer, the operation analysis module feeds back the operation abnormal value YYu of the distribution transformer to the server, the server sends the operation abnormal value YYu of the distribution transformer to the abnormality determination module, the abnormity judging module is used for judging the abnormity of the working condition of the distribution transformer, judging and generating a working normal signal, a working maintenance signal or a working fault signal, the abnormity judging module feeds back a working normal signal, a working maintenance signal or a working fault signal to the server, the server sends the working normal signal, the working maintenance signal or the working fault signal to the grading display module, and the grading display module is used for grading display of the working normal signal, the working maintenance signal or the working fault signal.
Further, the three-phase data packet blocks distribute three-phase current and three-phase voltage of the transformer; the operational data includes temperature, amplitude of the distribution transformer.
Further, the analysis process of the data analysis module is specifically as follows:
the method comprises the following steps: the distribution transformer is marked as u, u is 1, 2, … …, and z is a positive integer; the three phases of the distribution transformer are labeled X1u, X2u, and X3u, respectively;
step two: acquiring current values and voltage values of three phases of the distribution transformer, wherein the current values and the voltage values are respectively marked as DLX1u, DLX2u, DLX3u, DYX1u, DYX2u and DYX3 u;
step three: and calculating to obtain the zero line current value LDLu of the distribution transformer by using a formula, wherein the formula is as follows:
step four: comparing the current values of the three phases to obtain a maximum current value DLmaxu, a minimum current value DLminu, a maximum voltage value DYmaxu and a minimum voltage value DYminu;
step five: and calculating to obtain the current load rate and the voltage load rate of the three phases of the distribution transformer by combining a formula, wherein the formula is as follows:
DLFu＝(DLmaxu-DLminu)/DLmaxu*100％；
DYFu＝(DYmaxu-DYminu)/DYmaxu*100％；
step six: substituting the zero line current value LDLu, the current load factor DLFu and the voltage load factor DYFu into a calculation formula SYu ═ LDLuDLFu×a1+DYFu×a2Calculating to obtain a data abnormal value SYu of the distribution transformer; in the formula, a1 and a2 are both weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero.
Further, the working process of the operation analysis module is specifically as follows:
step S1: randomly acquiring temperature values and amplitude values of the distribution transformer during operation at a plurality of time points, wherein the temperature values are recorded as WDt1u, WDt2u, … … and WDtnu respectively, and the amplitude values are recorded as ZFt1u, ZFt2u, … … and ZFtnu respectively;
step S2: substituting the temperature values and the amplitude values of a plurality of time points into a formula to calculate a temperature mean JWDu and an amplitude mean JZFu of the distribution transformer during operation; the formula is as follows:
JWDu＝(WDt1u+WDt2u+……+WDtnu)/n；
JZFu＝(ZFt1u+ZFt2u+……+ZFtnu)/n；
step S3: acquiring a standard temperature value BWDu and a standard amplitude value BZFu of the distribution transformer;
step S4: if JWDu is smaller than BWDu, taking the temperature mean value JWDu as a temperature critical value LJWu of the distribution transformer during operation, and otherwise, taking the standard temperature value BWDu as the temperature critical value LJWu of the distribution transformer during operation;
if JZFu is smaller than BZFu, taking the amplitude mean value JZFu as an amplitude critical value LJZu of the distribution transformer in operation, and otherwise, taking the standard amplitude value BZFu as the amplitude critical value LJZu of the distribution transformer in operation;
step S5: recording the time point when the temperature value exceeds the temperature critical value as an overtemperature time point, counting the number of the overtemperature time points and recording the number of the overtemperature time points as CWTu, and calculating the proportion ZCWTu of the overtemperature time points by using a formula ZCWTu as CWTu/n;
similarly, recording the time point when the amplitude value exceeds the amplitude critical value as the overtone time point, counting the number of the overtone time points and recording the number as CZTu, and calculating the occupation ratio ZCZTu of the overtone time point by using a formula ZCZTu/n;
step S6: substituting the ratio ZCWTu at the overtemperature time point and the ratio ZCZTu at the overtibration time point into a calculation formula
Calculating to obtain an operation abnormal value YYu of the distribution transformer; in the formula, b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant.
Further, t1, t2, … …, tn are n time points, and t1 < t2 < … … < tn.
Further, the determination process of the abnormality determination module specifically includes:
step SS 1: acquiring an operation abnormity threshold YYYu and a data abnormity threshold YSYu of a distribution transformer;
step SS 2: calculating a difference value between the operation abnormal value YYu and the operation abnormal threshold YYYu to obtain an operation abnormal difference value CYYu of the distribution transformer, and calculating a difference value between the data abnormal value SYu and the data abnormal threshold YSYu to obtain a data abnormal difference value CSYu of the distribution transformer;
step SS 3: if CYYU is less than X1 and CSYU is less than Y1, generating a normal working signal;
if CYYU is more than or equal to X1, CSYU is less than Y1 or CYYU is less than X1 and CSYU is more than or equal to Y1, generating a working maintenance signal;
if CYYU is more than or equal to X1 and CSYU is more than or equal to Y1, generating a working fault signal; wherein, X1 and Y1 are preset values set according to the actual working condition of the distribution transformer.
Further, the working process of the hierarchical display module is as follows:
step Q1: if a normal working signal is received, the grading display module generates a safety instruction and displays the safety instruction in a standard font;
step Q2: if receiving the work maintenance signal, the grading display module generates a secondary threat instruction and displays the secondary threat instruction in a bold font;
step Q3: and if the working fault signal is received, the grading display module generates a first-grade threat instruction and displays the first-grade threat instruction in a bold oblique font.
Compared with the prior art, the invention has the beneficial effects that:
1. the operation data of the distribution transformer is combined with the three-phase table data of the distribution transformer, so that the distribution transformer in operation is subjected to abnormity judgment, and the abnormity judgment is more accurate and comprehensive;
2. the invention displays the working normal signal, the working maintenance signal or the working fault signal in a grading way through the grading display module, generates instructions of different grades by combining different signals, and displays the instructions in different forms of fonts.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention;
FIG. 2 is a block diagram of another system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an overload operation control system for a distribution transformer includes a data acquisition module, a grading display module, an operation analysis module, an abnormality determination module, a data analysis module, and a server;
the data acquisition module is used for acquiring three-phase data and operation data of the distribution transformer and sending the three-phase data and the operation data to the server;
wherein, the three-phase data packet blocks distribute three-phase current, three-phase voltage, etc. of the transformer;
wherein the operational data includes temperature, amplitude, etc. of the distribution transformer;
in specific implementation, the data acquisition module can be a current sensor and a voltage sensor on a three-phase meter of the distribution transformer, and a temperature sensor and a vibration sensor on the distribution transformer;
the server sends distribution transformer's operating data to operation analysis module, and the server sends distribution transformer's three-phase data to data analysis module, and after distribution transformer's that the server sent was received to data analysis module, data analysis module was used for carrying out the analysis to distribution transformer's three-phase data, and the analytic process specifically as follows:
the method comprises the following steps: the distribution transformer is marked as u, u is 1, 2, … …, and z is a positive integer; the three phases of the distribution transformer are labeled X1u, X2u, and X3u, respectively;
step two: acquiring current values and voltage values of three phases of the distribution transformer, wherein the current values and the voltage values are respectively marked as DLX1u, DLX2u, DLX3u, DYX1u, DYX2u and DYX3 u;
step three: and calculating to obtain the zero line current value LDLu of the distribution transformer by using a formula, wherein the formula is as follows:
step four: comparing the current values of the three phases to obtain a maximum current value DLmaxu, a minimum current value DLminu, a maximum voltage value DYmaxu and a minimum voltage value DYminu;
step five: and calculating to obtain the current load rate and the voltage load rate of the three phases of the distribution transformer by combining a formula, wherein the formula is as follows:
DLFu＝(DLmaxu-DLminu)/DLmaxu*100％；
DYFu＝(DYmaxu-DYminu)/DYmaxu*100％；
step six: substituting the zero line current value LDLu, the current load factor DLFu and the voltage load factor DYFu into a calculation formula SYu ═ LDLuDLFu×a1+DYFu×a2Calculating to obtain a data abnormal value SYu of the distribution transformer; in the formula, a1 and a2 are both weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero;
the data analysis module feeds back the data abnormal value SYu of the distribution transformer to the server, and the server sends the data abnormal value of the distribution transformer to the abnormality judgment module;
after the operation analysis module receives the operation data of the distribution transformer sent by the server, the operation analysis module is used for analyzing the operation condition of the distribution transformer, and the working process is as follows:
step S1: randomly acquiring temperature values and amplitude values of the distribution transformer during operation at a plurality of time points, wherein the temperature values are recorded as WDt1u, WDt2u, … … and WDtnu respectively, and the amplitude values are recorded as ZFt1u, ZFt2u, … … and ZFtnu respectively;
wherein t1, t2, … … and tn are n time points, and t1 is more than t2 is more than … … is more than tn;
step S2: substituting the temperature values and the amplitude values of a plurality of time points into a formula to calculate a temperature mean JWDu and an amplitude mean JZFu of the distribution transformer during operation; the formula is as follows:
JWDu＝(WDt1u+WDt2u+……+WDtnu)/n；
JZFu＝(ZFt1u+ZFt2u+……+ZFtnu)/n；
step S3: acquiring a standard temperature value BWDu and a standard amplitude value BZFu of the distribution transformer;
step S4: if JWDu is smaller than BWDu, taking the temperature mean value JWDu as a temperature critical value LJWu of the distribution transformer during operation, and otherwise, taking the standard temperature value BWDu as the temperature critical value LJWu of the distribution transformer during operation;
if JZFu is smaller than BZFu, taking the amplitude mean value JZFu as an amplitude critical value LJZu of the distribution transformer in operation, and otherwise, taking the standard amplitude value BZFu as the amplitude critical value LJZu of the distribution transformer in operation;
step S5: recording the time point when the temperature value exceeds the temperature critical value as an overtemperature time point, counting the number of the overtemperature time points and recording the number of the overtemperature time points as CWTu, and calculating the proportion ZCWTu of the overtemperature time points by using a formula ZCWTu as CWTu/n;
similarly, recording the time point when the amplitude value exceeds the amplitude critical value as the overtone time point, counting the number of the overtone time points and recording the number as CZTu, and calculating the occupation ratio ZCZTu of the overtone time point by using a formula ZCZTu/n;
step S6: substituting the ratio ZCWTu at the overtemperature time point and the ratio ZCZTu at the overtibration time point into a calculation formula
Calculating to obtain an operation abnormal value YYu of the distribution transformer; in the formula, b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant;
the operation analysis module feeds back the operation abnormal value YYu of the distribution transformer to the server, the server sends the operation abnormal value YYu of the distribution transformer to the abnormality judgment module, the abnormality judgment module is used for performing abnormality judgment on the working condition of the distribution transformer, and the judgment process is as follows:
step SS 1: acquiring an operation abnormity threshold YYYu and a data abnormity threshold YSYu of a distribution transformer;
step SS 2: calculating a difference value between the operation abnormal value YYu and the operation abnormal threshold YYYu to obtain an operation abnormal difference value CYYu of the distribution transformer, and calculating a difference value between the data abnormal value SYu and the data abnormal threshold YSYu to obtain a data abnormal difference value CSYu of the distribution transformer;
step SS 3: if CYYU is less than X1 and CSYU is less than Y1, generating a normal working signal;
if CYYU is more than or equal to X1, CSYU is less than Y1 or CYYU is less than X1 and CSYU is more than or equal to Y1, generating a working maintenance signal;
if CYYU is more than or equal to X1 and CSYU is more than or equal to Y1, generating a working fault signal; wherein, X1 and Y1 are preset values set according to the actual working condition of the distribution transformer;
the abnormality judgment module feeds back a normal working signal, a working maintenance signal or a working fault signal to the server, and the server sends the normal working signal, the working maintenance signal or the working fault signal to the grading display module;
after the grading display module receives the working normal signal, the working maintenance signal or the working fault signal, the grading display module is used for grading display of the working normal signal, the working maintenance signal or the working fault signal, and the working process is as follows:
step Q1: if a normal working signal is received, the grading display module generates a safety instruction and displays the safety instruction in a standard font;
step Q2: if receiving the work maintenance signal, the grading display module generates a secondary threat instruction and displays the secondary threat instruction in a bold font;
step Q3: if a working fault signal is received, the grading display module generates a first-grade threat instruction and displays the first-grade threat instruction in a bold oblique font;
as shown in fig. 2, the system further includes a maintenance module and a user terminal, when the work maintenance signal is generated, the user terminal is used for the maintainer to register and log in after inputting personal information, and send the personal information to the server for storage, and the data acquisition module is also used for acquiring maintenance data of the maintainer and sending the maintenance data to the server;
the personal information comprises a name, a mobile phone number authenticated by a real name, a real-time geographic position, time of enrollment and the like, and the maintenance data comprises maintenance times of maintenance personnel, time length of each maintenance, maintenance success rate and the like;
the server still maintains signal and maintenance data transmission to the maintenance module with the work, and the maintenance module is used for maintaining the distribution transformer who generates the maintenance task, and the course of work is specifically as follows:
step P1: marking the maintainers as i, i is 1, 2, … …, and x is a positive integer; acquiring the maintenance times of maintenance personnel, and marking the maintenance times as WCi;
step P2: acquiring maintenance time length of each maintenance of a maintainer, and adding and summing the maintenance time length and dividing the maintenance time length by the maintenance times to obtain the maintenance average time JWTi of the maintainer;
step P3: acquiring the attendance time of a maintainer, and subtracting the attendance time from the current time of the server to obtain the attendance time RTi of the maintainer; acquiring the maintenance success rate of maintenance personnel, and marking the maintenance success rate as WCLi;
step P4: using formulas
Calculating a maintenance value WHu of a maintenance worker; in the formula, c1, c2 and c3 are all proportional coefficients with fixed numerical values, and the values of c1, c2 and c3 are all larger than zero;
step P5: arranging the maintenance values in a descending order according to the numerical values to obtain a maintenance selection table;
and the maintenance module is used for feeding back the maintenance selection list to the server, the server selects corresponding maintainers according to the maintenance selection list, and the maintenance module generates maintenance instructions and sends the maintenance instructions to corresponding user terminals after the server is selected.
When the system works, a data acquisition module acquires three-phase data and operation data of a distribution transformer and sends the three-phase data and the operation data to a server, the server sends the operation data of the distribution transformer to an operation analysis module, and the server sends the three-phase data of the distribution transformer to a data analysis module;
analyzing three-phase data of the distribution transformer through a data analysis module to obtain current values and voltage values of three phases of the distribution transformer, calculating to obtain a zero line current value LDLu of the distribution transformer by using a formula, comparing the current values of the three phases to obtain a maximum current value DLmaxu, a minimum current value DLminiu, a maximum voltage value DYmaxu and a minimum voltage value DYminiu, calculating to obtain a current load rate DLFu and a voltage load rate DYFu of the three phases of the distribution transformer by combining the formula, and substituting the zero line current value LDLu, the current load rate DLFu and the voltage load rate DYFu into a calculation formula SYu (LDLu)DLFu×a1+DYFu×a2Calculating to obtain a data abnormal value SYu of the distribution transformer, and feeding back the data abnormal value SYu of the distribution transformer to the server by the data analysis module;
analyzing the operation condition of the distribution transformer by an operation analysis module, randomly acquiring temperature values and amplitude values of the distribution transformer during operation at a plurality of time points, substituting the temperature values and the amplitude values at the plurality of time points into a formula to calculate a temperature mean value JWDu and an amplitude mean value JZFu during operation of the distribution transformer, then acquiring a standard temperature value BWDu and a standard amplitude value BZFu of the distribution transformer, if JWDu is less than BWDu, taking the temperature mean value JWDu as a temperature critical value LJWu during operation of the distribution transformer, otherwise, taking the standard temperature value BWDu as a temperature critical value LJWu during operation of the distribution transformer, if JZFu is less than BZFu, taking the amplitude mean value JZFu as an amplitude critical value LJZu during operation of the distribution transformer, otherwise, taking the standard amplitude value BZFu as the amplitude LJZU during operation of the distribution transformer, and recording the time point when the temperature values exceed the temperature values as the overtemperature time points, counting the number of overtemperature time points and recording as CWTu, calculating the proportion ZCWTu of the overtemperature time points by using a formula ZCWTu as CWTu/n, recording the time points when the amplitude value exceeds the amplitude critical value as the overtibration time points in the same way, and integratingCalculating the number of the super-vibration time points and recording as CZTu, calculating the proportion ZCZTu of the super-vibration time point by using a formula ZCZTu/n, and substituting the proportion ZCZTu of the super-vibration time point and the proportion ZCZTu of the super-vibration time point into a calculation formula
The operation abnormal value YYu of the distribution transformer is obtained through calculation, the operation analysis module feeds back the operation abnormal value YYu of the distribution transformer to the server, and the server sends the operation abnormal value YYu of the distribution transformer to the abnormality judgment module;
the working condition of the distribution transformer is subjected to abnormal judgment through an abnormal judgment module, an operation abnormal threshold YYYyu and a data abnormal threshold YSYu of the distribution transformer are obtained, the difference value between an operation abnormal value YYu and the operation abnormal threshold YYYu is calculated to obtain an operation abnormal difference value CYYu of the distribution transformer, the difference value between a data abnormal value SYu and the data abnormal threshold YSYu is calculated to obtain a data abnormal difference value CSYu of the distribution transformer, if CYYu is less than X1 and CSYu is less than Y1, a working normal signal is generated, if CYYu is more than or equal to X1 and CSYu is less than Y1 or CYYu is less than X1 and CSYu is more than or equal to Y1, a working maintenance signal is generated, if CYYu is more than or equal to X1 and CSYu is more than or equal to Y1, the abnormal judgment module feeds back the working normal signal, the working maintenance signal or the working normal signal to a server, the server sends the working maintenance signal or the working maintenance signal to a grading display module, the grading display module sends the working normal signal to the grading display module, the grading display module sends the working maintenance signal to the grading display module to send the grading display module to the working normal signal The working maintenance signal or the working fault signal is displayed in a grading way, if a working normal signal is received, the grading display module generates a safety instruction and displays the safety instruction in a standard font, if the working maintenance signal is received, the grading display module generates a secondary threat instruction and displays the secondary threat instruction in a bold font, and if the working fault signal is received, the grading display module generates a primary threat instruction and displays the primary threat instruction in a bold oblique font;
the maintenance personnel are used for registering and logging after inputting personal information through the user terminal, sending the personal information to the server for storage, meanwhile, the data acquisition module also acquires maintenance data of the maintenance personnel and sends the maintenance data to the server, and the maintenance personnel can log in the server in lifeWhen the working maintenance signal is generated, the server also sends the working maintenance signal and the maintenance data to the maintenance module, the distribution transformer generating the maintenance task is maintained through the maintenance module, and the formula is combined according to the maintenance times WCi of maintainers, the maintenance time JWTi, the working time RTi and the maintenance success rate WCLi
The maintenance values WHu of the maintainers are obtained through calculation, the maintenance values are arranged in a descending order according to the numerical values to obtain a maintenance selection table, the maintenance selection table is selected and fed back to the server through the maintenance selection module, the corresponding maintainers are selected through the server according to the maintenance selection table, and the maintenance instruction is generated and sent to the corresponding user terminals through the maintenance module after the server is selected.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, such as the formula:
the technical personnel in the field collect the maintenance data of a plurality of maintainers and set a corresponding proportional coefficient for each group of sample data, the set proportional coefficient and the collected maintainer data are substituted into a formula, and the maintenance value of the maintainer is obtained by calculation, wherein the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the proportional relation between the parameter and the quantized numerical value is not influenced.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. An operation overload control system for a distribution transformer is characterized by comprising a data acquisition module, a grading display module, an operation analysis module, an abnormality judgment module, a data analysis module and a server, wherein the data acquisition module is used for acquiring three-phase data and operation data of the distribution transformer, and transmits the three-phase data and the operation data to a server, the server transmits the operation data of the distribution transformer to an operation analysis module, the server sends the three-phase data of the distribution transformer to a data analysis module, the data analysis module is used for analyzing the three-phase data of the distribution transformer to obtain a data abnormal value SYu of the distribution transformer, the data analysis module feeds back the data abnormal value SYu of the distribution transformer to the server, and the server sends the data abnormal value of the distribution transformer to the abnormal judgment module;
the operation analysis module is used for analyzing the operation condition of the distribution transformer, analyzing to obtain an operation abnormal value YYu of the distribution transformer, the operation analysis module feeds back the operation abnormal value YYu of the distribution transformer to the server, the server sends the operation abnormal value YYu of the distribution transformer to the abnormality determination module, the abnormity judging module is used for judging the abnormity of the working condition of the distribution transformer, judging and generating a working normal signal, a working maintenance signal or a working fault signal, the abnormity judging module feeds back a working normal signal, a working maintenance signal or a working fault signal to the server, the server sends the working normal signal, the working maintenance signal or the working fault signal to the grading display module, and the grading display module is used for grading display of the working normal signal, the working maintenance signal or the working fault signal.
2. The system for managing and controlling the overload operation of the distribution transformer according to claim 1, wherein the three-phase data packet blocks the three-phase current and the three-phase voltage of the distribution transformer; the operational data includes temperature, amplitude of the distribution transformer.
3. The operation overload management and control system for the distribution transformer according to claim 1, wherein the analysis process of the data analysis module is as follows:
the method comprises the following steps: the distribution transformer is marked as u, u is 1, 2, … …, and z is a positive integer; the three phases of the distribution transformer are labeled X1u, X2u, and X3u, respectively;
step two: acquiring current values and voltage values of three phases of the distribution transformer, wherein the current values and the voltage values are respectively marked as DLX1u, DLX2u, DLX3u, DYX1u, DYX2u and DYX3 u;
step three: and calculating to obtain the zero line current value LDLu of the distribution transformer by using a formula, wherein the formula is as follows:
step four: comparing the current values of the three phases to obtain a maximum current value DLmaxu, a minimum current value DLminu, a maximum voltage value DYmaxu and a minimum voltage value DYminu;
step five: and calculating to obtain the current load rate and the voltage load rate of the three phases of the distribution transformer by combining a formula, wherein the formula is as follows:
DLFu＝(DLmaxu-DLminu)/DLmaxu*100％；
DYFu＝(DYmaxu-DYminu)/DYmaxu*100％；
step six: substituting the zero line current value LDLu, the current load factor DLFu and the voltage load factor DYFu into a calculation formula SYu ═ LDLuDLFu×a1+DYFu×a2Calculating to obtain a data abnormal value SYu of the distribution transformer; in the formula, a1 and a2 are both weight coefficients with fixed values, and the values of a1 and a2 are both greater than zero.
4. The operation overload management and control system for the distribution transformer according to claim 1, wherein the operation process of the operation analysis module is as follows:
step S1: randomly acquiring temperature values and amplitude values of the distribution transformer during operation at a plurality of time points, wherein the temperature values are recorded as WDt1u, WDt2u, … … and WDtnu respectively, and the amplitude values are recorded as ZFt1u, ZFt2u, … … and ZFtnu respectively;
step S2: substituting the temperature values and the amplitude values of a plurality of time points into a formula to calculate a temperature mean JWDu and an amplitude mean JZFu of the distribution transformer during operation; the formula is as follows:
JWDu＝(WDt1u+WDt2u+……+WDtnu)/n；
JZFu＝(ZFt1u+ZFt2u+……+ZFtnu)/n；
step S3: acquiring a standard temperature value BWDu and a standard amplitude value BZFu of the distribution transformer;
step S4: if JWDu is smaller than BWDu, taking the temperature mean value JWDu as a temperature critical value LJWu of the distribution transformer during operation, and otherwise, taking the standard temperature value BWDu as the temperature critical value LJWu of the distribution transformer during operation;
if JZFu is smaller than BZFu, taking the amplitude mean value JZFu as an amplitude critical value LJZu of the distribution transformer in operation, and otherwise, taking the standard amplitude value BZFu as the amplitude critical value LJZu of the distribution transformer in operation;
step S5: recording the time point when the temperature value exceeds the temperature critical value as an overtemperature time point, counting the number of the overtemperature time points and recording the number of the overtemperature time points as CWTu, and calculating the proportion ZCWTu of the overtemperature time points by using a formula ZCWTu as CWTu/n;
similarly, recording the time point when the amplitude value exceeds the amplitude critical value as the overtone time point, counting the number of the overtone time points and recording the number as CZTu, and calculating the occupation ratio ZCZTu of the overtone time point by using a formula ZCZTu/n;
step S6: substituting the ratio ZCWTu at the overtemperature time point and the ratio ZCZTu at the overtibration time point into a calculation formula
Calculating to obtain an operation abnormal value YYu of the distribution transformer; in the formula, b1 and b2 are proportionality coefficients with fixed values, the values of b1 and b2 are both larger than zero, and e is a natural constant.
5. The overload operation management and control system for the distribution transformer, according to claim 4, wherein t1, t2, … …, tn are n time points, and t1 < t2 < … … < tn.
6. The operation overload management and control system for the distribution transformer according to claim 1, wherein the determination process of the abnormality determination module is specifically as follows:
step SS 1: acquiring an operation abnormity threshold YYYu and a data abnormity threshold YSYu of a distribution transformer;
step SS 2: calculating a difference value between the operation abnormal value YYu and the operation abnormal threshold YYYu to obtain an operation abnormal difference value CYYu of the distribution transformer, and calculating a difference value between the data abnormal value SYu and the data abnormal threshold YSYu to obtain a data abnormal difference value CSYu of the distribution transformer;
step SS 3: if CYYU is less than X1 and CSYU is less than Y1, generating a normal working signal;
if CYYU is more than or equal to X1, CSYU is less than Y1 or CYYU is less than X1 and CSYU is more than or equal to Y1, generating a working maintenance signal;
if CYYU is more than or equal to X1 and CSYU is more than or equal to Y1, generating a working fault signal; wherein, X1 and Y1 are preset values set according to the actual working condition of the distribution transformer.
7. The operation overload management and control system for the distribution transformer according to claim 1, wherein the hierarchical display module specifically comprises the following working processes:
step Q1: if a normal working signal is received, the grading display module generates a safety instruction and displays the safety instruction in a standard font;
step Q2: if receiving the work maintenance signal, the grading display module generates a secondary threat instruction and displays the secondary threat instruction in a bold font;
step Q3: and if the working fault signal is received, the grading display module generates a first-grade threat instruction and displays the first-grade threat instruction in a bold oblique font.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117076241A (en) * | 2023-08-21 | 2023-11-17 | 国网陕西省电力有限公司咸阳供电公司 | Equipment information management system and method for realizing field station global state supervision |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202404166U (en) * | 2011-12-04 | 2012-08-29 | 江西省电力科学研究院 | On-line monitoring system for vibration performance of transformer |
| CN205301453U (en) * | 2015-11-06 | 2016-06-08 | 广东电网有限责任公司电力科学研究院 | Unusual monitoring devices of transformer operation |
| CN107247203A (en) * | 2017-07-10 | 2017-10-13 | 佛山杰致信息科技有限公司 | A kind of transformer fault detection method and device |
| CN108802553A (en) * | 2018-06-12 | 2018-11-13 | 广州供电局有限公司 | A kind of transformer winding fault state system of condition monitoring |
| CN110031703A (en) * | 2019-04-25 | 2019-07-19 | 国网冀北电力有限公司检修分公司 | A kind of the unusual service condition method of discrimination and system of super extra-high voltage transformer |
| CN211785890U (en) * | 2019-12-18 | 2020-10-27 | 大盛微电科技股份有限公司 | Transformer monitoring device and transformer system |
| CN111983523A (en) * | 2020-08-24 | 2020-11-24 | 国网上海市电力公司 | Transformer running state data acquisition and analysis system and method based on big data platform |
| WO2020259415A1 (en) * | 2019-06-26 | 2020-12-30 | 山东电工电气集团智能电气有限公司 | Transformer monitoring method and device and storage medium |
| CN214795158U (en) * | 2020-08-17 | 2021-11-19 | 特变电工京津冀智能科技有限公司 | Distribution transformer monitoring device and online monitoring system |
-
2021
- 2021-12-13 CN CN202111521291.5A patent/CN114152899B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202404166U (en) * | 2011-12-04 | 2012-08-29 | 江西省电力科学研究院 | On-line monitoring system for vibration performance of transformer |
| CN205301453U (en) * | 2015-11-06 | 2016-06-08 | 广东电网有限责任公司电力科学研究院 | Unusual monitoring devices of transformer operation |
| CN107247203A (en) * | 2017-07-10 | 2017-10-13 | 佛山杰致信息科技有限公司 | A kind of transformer fault detection method and device |
| CN108802553A (en) * | 2018-06-12 | 2018-11-13 | 广州供电局有限公司 | A kind of transformer winding fault state system of condition monitoring |
| CN110031703A (en) * | 2019-04-25 | 2019-07-19 | 国网冀北电力有限公司检修分公司 | A kind of the unusual service condition method of discrimination and system of super extra-high voltage transformer |
| WO2020259415A1 (en) * | 2019-06-26 | 2020-12-30 | 山东电工电气集团智能电气有限公司 | Transformer monitoring method and device and storage medium |
| CN211785890U (en) * | 2019-12-18 | 2020-10-27 | 大盛微电科技股份有限公司 | Transformer monitoring device and transformer system |
| CN214795158U (en) * | 2020-08-17 | 2021-11-19 | 特变电工京津冀智能科技有限公司 | Distribution transformer monitoring device and online monitoring system |
| CN111983523A (en) * | 2020-08-24 | 2020-11-24 | 国网上海市电力公司 | Transformer running state data acquisition and analysis system and method based on big data platform |
Non-Patent Citations (2)
| Title |
|---|
| 王明 等: "变压器电气故障综合预警系统研究", 《机械与电子》 * |
| 董伟广 等: "基于FPGA的配电变压器在线监测及故障诊断系统设计与实现", 《湖北民族学院学报(自然科学版)》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117076241A (en) * | 2023-08-21 | 2023-11-17 | 国网陕西省电力有限公司咸阳供电公司 | Equipment information management system and method for realizing field station global state supervision |
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|---|---|
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