CN116885667B - Intelligent conversion management system for parallel isolation transformers - Google Patents
Intelligent conversion management system for parallel isolation transformers Download PDFInfo
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- 238000002955 isolation Methods 0.000 title claims abstract description 386
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims abstract description 55
- 238000004458 analytical method Methods 0.000 claims abstract description 53
- 238000011156 evaluation Methods 0.000 claims abstract description 34
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- 238000009413 insulation Methods 0.000 claims description 41
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/04—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
Abstract
The invention relates to the field of parallel isolation transformer conversion management, and particularly discloses an intelligent parallel isolation transformer conversion management system, which is used for further evaluating the comprehensive evaluation index of the operation state of each isolation transformer by acquiring the first operation parameter and the second operation parameter of each isolation transformer in a target parallel isolation transformer group, judging whether the operation state of each isolation transformer is abnormal or not, and cutting off each isolation transformer with abnormal operation state from the target parallel isolation transformer group so as to realize omnibearing and accurate monitoring of the operation state of each isolation transformer; and analyzing the current stability of each isolation transformer to be analyzed, evaluating whether the disturbance rejection performance of the target parallel isolation transformer set meets the standard, realizing the analysis of the stable state of the parallel isolation transformer set after the fault isolation transformer is removed, and ensuring the normal operation of the parallel isolation transformer set and the safety of the system.
Description
Technical Field
The invention relates to the field of parallel isolation transformer conversion management, in particular to an intelligent conversion management system for parallel isolation transformers.
Background
An isolation transformer is a transformer that electrically isolates an input power source from an output load while maintaining a constant voltage. Parallel connection of isolation transformers means that a plurality of isolation transformers are connected together to realize a power supply application with larger power output and higher capacity, and the principle is that the input ends and the output ends of the plurality of isolation transformers are respectively connected together so that the plurality of isolation transformers share a load and can mutually cooperate.
In order to ensure the normal operation of the parallel isolation transformer, prevent the fault of the parallel isolation transformer and ensure the continuity and reliability of power supply, the parallel isolation transformer needs to be monitored and managed.
The existing monitoring and management method for the parallel isolation transformer has some defects: on one hand, when the running state of the isolation transformer is monitored by the existing method, the monitored index is not comprehensive enough, and the basic parameters of the isolation transformer such as voltage, current and the like are not further analyzed, so that the problems of insulation resistance, temperature, magnetic leakage and the like of the isolation transformer, such as leakage of the isolation transformer, internal short circuit of windings and the like are easily caused due to the fact that the insulation resistance is not required, and even dangerous conditions such as fire and the like can be caused when serious conditions exist; the over-high temperature can cause the problems of insulation aging, winding deformation and the like of the isolation transformer, thereby influencing the performance and the service life of the isolation transformer; the leakage magnetic flux can increase the electromagnetic energy loss, aggravate heating and easily pollute dust, so that the isolation transformer is in fault; the reliability and accuracy of the result of the isolation transformer evaluation by the existing method are not high, the fault isolation transformer cannot be found and cut off in time, and if the fault isolation transformer is not cut off in time, the stability of the parallel isolation transformer set is reduced, electric leakage is caused, and faults of a larger scale are caused, so that the normal operation of the set and the safety of a system are threatened.
On the other hand, the existing method lacks analysis of the stable state of the parallel isolation transformer after the fault isolation transformer is removed, when the parallel isolation transformer is removed, disturbance influence can be generated on the operation of the parallel isolation transformer, the disturbance is too large to exceed the tolerance range of the system, adverse influence can be brought to the parallel isolation transformer, and the parallel isolation transformer cannot normally operate.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent conversion management system for parallel isolation transformers, which realizes the function of conversion management for the parallel isolation transformers.
The technical scheme adopted for solving the technical problems is as follows: the invention provides an intelligent conversion management system of a parallel isolation transformer, which comprises the following components: the first operation parameter acquisition module of the isolation transformer: the method comprises the steps of obtaining first operation parameters of each isolation transformer in a target parallel isolation transformer group, wherein the first operation parameters comprise voltage conformity, current conformity and insulation resistance conformity.
The second operation parameter acquisition module of the isolation transformer: and the second operation parameters are used for acquiring the second operation parameters of each isolation transformer, wherein the second operation parameters comprise a temperature rise coefficient, a noise proportion coefficient and a magnetic leakage proportion coefficient.
The comprehensive evaluation module for the operation state of the isolation transformer comprises: and the control module is used for analyzing the first operating parameter standard-reaching coefficient and the second operating parameter standard-reaching coefficient of each isolation transformer according to the first operating parameter and the second operating parameter of each isolation transformer, further evaluating the comprehensive evaluation index of the operating state of each isolation transformer, judging whether the operating state of each isolation transformer is abnormal, and executing the control module of the isolation transformer if the operating state of each isolation transformer is abnormal.
Isolation transformer control module: and cutting off each isolation transformer with abnormal operation state from the target parallel isolation transformer group, and marking the rest isolation transformers in the target parallel isolation transformer group as isolation transformers to be analyzed.
Isolation transformer group noise immunity performance monitoring module: the method is used for monitoring the current of each isolation transformer to be analyzed, analyzing the current stability of each isolation transformer to be analyzed, evaluating whether the disturbance rejection performance of the target parallel isolation transformer group meets the standard or not, and carrying out corresponding treatment.
Database: the method is used for storing an isolation transformer voltage information base and an isolation transformer current information base and storing reference insulation resistances of the isolation transformers in the target parallel isolation transformer group.
On the basis of the embodiment, the isolation transformer voltage information base is used for storing reference input voltages, reference output voltages and reference ratios between output voltages and input voltages of the isolation transformers in the target parallel isolation transformer group, and the isolation transformer current information base is used for storing reference input currents, reference output currents and reference ratios between output currents and input currents of the isolation transformers in the target parallel isolation transformer group.
Based on the above embodiment, the specific analysis process of the first operation parameter obtaining module of the isolation transformer is:: and setting the duration of the monitoring period, and setting each sampling time point in the monitoring period according to a preset equal time interval principle.
The input voltage, the output voltage, the input current, the output current and the insulation resistance of each isolation transformer in the target parallel isolation transformer group at each sampling time point in the monitoring period are respectively recorded asWherein->Indicate->Number of the sampling time points, +.>，/>Indicate->Number of the isolation transformer>。
Extracting reference input voltage, reference output voltage and reference ratio between output voltage and input voltage of each isolation transformer in target parallel isolation transformer group stored in isolation transformer voltage information base, and respectively recording the reference input voltage, reference output voltage and reference ratio as。
Substituting the input voltage and the output voltage of each isolation transformer in each isolation transformer set in each sampling time point target parallel connection in the monitoring period into a formulaObtaining the voltage conformity of each isolation transformer>Wherein->Representing a predetermined voltage compliance correction factor, +.>Represents the number of sampling time points, e represents a natural constant,/->Respectively representing a preset input voltage deviation threshold value and an output voltage deviation threshold value of the isolation transformer, +.>Respectively representing preset input voltage, output voltage and weight factors of the ratio between the output voltage and the input voltage of the isolation transformer.
: similarly, according to the analysis method of the voltage coincidence degree of each isolation transformer, the current coincidence degree of each isolation transformer is obtained and is recorded as +.>。
: extracting the reference insulation resistance of each isolation transformer in the target parallel isolation transformer group stored in the database, and storing the reference insulation resistanceMarked as->。
Substituting insulation resistance of each isolation transformer in each sampling time point target parallel isolation transformer group in the monitoring period into a formulaObtaining the insulation resistance conformity of each isolation transformer>Wherein->Representing a preset insulation resistance compliance correction factor, < ->Representing a preset insulation resistance deviation threshold value of the isolation transformer.
On the basis of the above embodiment, the analysis process of the second operation parameter acquisition module of the isolation transformer is as follows:: the temperature of each isolation transformer at each sampling time point in the monitoring period is obtained and is recorded as +.>。
By analysis of formulasObtaining the temperature rise coefficient of each isolation transformer>Wherein->Representing a preset temperature rise coefficient correction factor, +.>Representing a predetermined isolation transformer surface temperatureThreshold value (S)>Indicating the%>Sample time Point->The temperature of the isolation transformer.
: acquiring the noise volume of each isolation transformer at each sampling time point in the monitoring period, and recording the noise volume as +.>By analysis formula->Obtaining the noise proportion coefficient of each isolation transformer>Wherein->Representing a predetermined noise figure correction factor, < ->Representing a preset isolation transformer noise volume threshold.
: acquiring the magnetic induction intensity of the magnetic field of the region where each isolation transformer is positioned at each sampling time point in the monitoring period, and marking the magnetic induction intensity as +.>。
By analysis of formulasObtain each isolationLeakage magnetic scale factor of transformer->Wherein->And (5) representing a preset isolation transformer leakage magnetic induction intensity threshold value.
On the basis of the above embodiment, the analysis process of the integrated evaluation module for the operation state of the isolation transformer includes: voltage compliance of each isolation transformerCurrent compliance->And insulation resistance compliance +.>Substitution formulaObtaining the first operation parameter standard reaching coefficient of each isolation transformer>WhereinRespectively representing preset reference values of voltage conformity, current conformity and insulation resistance conformity,weight factors respectively representing preset voltage conformity, current conformity and insulation resistance conformity,。
temperature rise coefficient of each isolation transformerNoise ratio factor->And leakage magnetic scale factor->Substitution formulaObtaining the second operation parameter standard reaching coefficient of each isolation transformer>WhereinRespectively representing the weights of a preset temperature rise coefficient, a noise proportion coefficient and a magnetic leakage proportion coefficient.
On the basis of the above embodiment, the analysis process of the integrated evaluation module for the operating state of the isolation transformer further includes: the first operation parameters of each isolation transformer reach the standard coefficientAnd a second operating parameter criterion coefficient +.>Substitution formulaObtaining the comprehensive evaluation index of the running state of each isolation transformer>Wherein->Weight factors respectively representing preset first operation parameter standard reaching coefficient and second operation parameter standard reaching coefficient, < ->。
Comparing the comprehensive evaluation index of the running state of each isolation transformer with a preset comprehensive evaluation index early warning value of the running state, if the comprehensive evaluation index of the running state of a certain isolation transformer is smaller than the preset comprehensive evaluation index early warning value of the running state, counting the running state of the isolation transformer to obtain each isolation transformer with abnormal running state.
On the basis of the above embodiment, the analysis process of the isolation transformer group disturbance rejection performance monitoring module includes: setting the duration of an analysis period, and setting each data acquisition time point in the analysis period according to a preset principle.
And obtaining the output current and the input current of each isolation transformer to be analyzed at each data acquisition time point in the analysis period.
Establishing a coordinate system by taking data acquisition time points as independent variables and output currents as dependent variables, drawing output current characteristic curves of all the to-be-analyzed isolation transformers according to the output currents of all the to-be-analyzed isolation transformers at all the data acquisition time points in an analysis period, comparing the output current characteristic curves of all the to-be-analyzed isolation transformers with preset reference output current characteristic curves to obtain the coincidence degree of the output current characteristic curves of all the to-be-analyzed isolation transformers and the reference output current characteristic curves, and marking the coincidence degree as the output current stability of all the to-be-analyzed isolation transformers and representing the coincidence degree as the output current stability of all the to-be-analyzed isolation transformers，/>Indicate->The number of the isolation transformers to be analyzed, +.>。
Similarly, according to the analysis method of the output current stability of each isolation transformer to be analyzed, the input current stability of each isolation transformer to be analyzed is obtained and is recorded as。
By analysis of formulasObtaining the current stability of each isolation transformer to be analyzed>。
On the basis of the foregoing embodiment, the analysis process of the noise immunity monitoring module of the isolation transformer group further includes: comparing the current stability of each isolation transformer to be analyzed to obtain the minimum value of the current stability of the isolation transformer to be analyzed, recording the minimum value as the reference current stability of the target parallel isolation transformer set, comparing the reference current stability of the target parallel isolation transformer set with a preset current stability threshold value, and if the reference current stability of the target parallel isolation transformer set is smaller than the preset current stability threshold value, ensuring that the disturbance resistance of the target parallel isolation transformer set does not reach the standard and feeding back the result to a corresponding supervision center.
Compared with the prior art, the intelligent conversion management system for the parallel isolation transformer has the following beneficial effects: 1. according to the invention, the running states of the isolation transformers are evaluated from various indexes of voltage, current, insulation resistance, temperature, noise and magnetic leakage, whether the running states of the isolation transformers are abnormal or not is judged, and the isolation transformers with abnormal running states are cut off from the target parallel isolation transformer group, so that the running states of the isolation transformers are monitored in an omnibearing and precise manner, the reliability and the accuracy of the running state evaluation result of the isolation transformers are improved, the fault isolation transformers are prevented from reducing the stability of the parallel isolation transformer group, and electric leakage and larger-scale faults are caused.
2. According to the invention, through analyzing the current stability of each isolation transformer to be analyzed, whether the disturbance rejection performance of the target parallel isolation transformer set meets the standard is evaluated, so that the analysis of the stable state of the parallel isolation transformer set after the fault isolation transformer is removed is realized, and the normal operation of the parallel isolation transformer set and the safety of a system are ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an intelligent conversion management system for parallel isolation transformers, which comprises a first operation parameter acquisition module for the isolation transformers, a second operation parameter acquisition module for the isolation transformers, a comprehensive operation state evaluation module for the isolation transformers, an isolation transformer control module, an anti-disturbance performance monitoring module for isolation transformer groups and a database.
The integrated evaluation module of the running state of the isolation transformer is respectively connected with the first running parameter acquisition module of the isolation transformer and the second running parameter acquisition module of the isolation transformer, the control module of the isolation transformer is respectively connected with the integrated evaluation module of the running state of the isolation transformer and the disturbance rejection performance monitoring module of the isolation transformer group, and the database is connected with the first running parameter acquisition module of the isolation transformer.
The first operation parameter acquisition module of the isolation transformer is used for acquiring first operation parameters of each isolation transformer in the target parallel isolation transformer group, wherein the first operation parameters comprise voltage conformity, current conformity and insulation resistance conformity.
Further, the specific analysis process of the first operation parameter acquisition module of the isolation transformer is as follows:: and setting the duration of the monitoring period, and setting each sampling time point in the monitoring period according to a preset equal time interval principle.
The input voltage, the output voltage, the input current, the output current and the insulation resistance of each isolation transformer in the target parallel isolation transformer group at each sampling time point in the monitoring period are respectively recorded asWherein->Indicate->Number of the sampling time points, +.>，/>Indicate->Number of the isolation transformer>。
Extracting reference input voltage, reference output voltage and reference ratio between output voltage and input voltage of each isolation transformer in target parallel isolation transformer group stored in isolation transformer voltage information base, and respectively recording the reference input voltage, reference output voltage and reference ratio as。
Substituting the input voltage and the output voltage of each isolation transformer in each isolation transformer set in each sampling time point target parallel connection in the monitoring period into a formulaObtaining the voltage of each isolation transformerCompliance->Wherein->Representing a predetermined voltage compliance correction factor, +.>Represents the number of sampling time points, e represents a natural constant,/->Respectively representing a preset input voltage deviation threshold value and an output voltage deviation threshold value of the isolation transformer, +.>Respectively representing preset input voltage, output voltage and weight factors of the ratio between the output voltage and the input voltage of the isolation transformer.
: similarly, according to the analysis method of the voltage coincidence degree of each isolation transformer, the current coincidence degree of each isolation transformer is obtained and is recorded as +.>。
: extracting the reference insulation resistance of each isolation transformer in the target parallel isolation transformer group stored in the database, and marking the reference insulation resistance as +.>。
Substituting insulation resistance of each isolation transformer in each sampling time point target parallel isolation transformer group in the monitoring period into a formulaObtaining the insulation resistance of each isolation transformerCompliance->Wherein->Representing a preset insulation resistance compliance correction factor, < ->Representing a preset insulation resistance deviation threshold value of the isolation transformer.
The second operation parameter acquisition module of the isolation transformer is used for acquiring second operation parameters of each isolation transformer, wherein the second operation parameters comprise a temperature rise coefficient, a noise proportion coefficient and a magnetic leakage proportion coefficient.
Further, the analysis process of the second operation parameter acquisition module of the isolation transformer is as follows:: the temperature of each isolation transformer at each sampling time point in the monitoring period is obtained and is recorded as +.>。
As a preferable scheme, the temperature of each isolation transformer at each sampling time point in the monitoring period is obtained by the following steps: according to a preset principle, arranging detection points on the surface of each isolation transformer, acquiring the temperature of each detection point on the surface of each isolation transformer at each sampling time point in a monitoring period through an infrared thermal imager, comparing the temperature of each detection point on the surface of each isolation transformer at each sampling time point in the monitoring period to obtain the mode of the temperature of each detection point on the surface of each isolation transformer at each sampling time point in the monitoring period, and marking the mode as the temperature of each isolation transformer at each sampling time point in the monitoring period.
By analysis of formulasObtaining the temperature rise coefficient of each isolation transformer>Wherein->Representing a preset temperature rise coefficient correction factor, +.>Representing a preset isolation transformer surface temperature threshold,indicating the%>Sample time Point->The temperature of the isolation transformer.
: acquiring the noise volume of each isolation transformer at each sampling time point in the monitoring period, and recording the noise volume as +.>By analysis formula->Obtaining the noise proportion coefficient of each isolation transformer>Wherein->Representing a predetermined noise figure correction factor, < ->Representing a preset isolation transformer noise volume threshold.
: acquiring sampling time in monitoring periodThe magnetic induction intensity of the magnetic field in the region where each isolation transformer is located is marked as +.>。
As a preferred scheme, the magnetic induction intensity of the magnetic field of the region where each isolation transformer is located at each sampling time point in the monitoring period is obtained by the following steps: according to a preset principle, arranging monitoring points in the area where the isolation transformers are located, acquiring the magnetic induction intensity of the magnetic field at the monitoring points in the area where the isolation transformers are located at all sampling time points in the monitoring period by using a magnetic field intensity tester, comparing the magnetic induction intensity of the magnetic field at the monitoring points in the area where the isolation transformers are located at all sampling time points in the monitoring period, and recording the maximum magnetic induction intensity of the magnetic field at the monitoring points in the area where the isolation transformers are located at all sampling time points in the monitoring period as the magnetic induction intensity of the magnetic field at the area where the isolation transformers are located at all sampling time points in the monitoring period.
By analysis of formulasObtaining the leakage flux proportion coefficient of each isolation transformer>Wherein->And (5) representing a preset isolation transformer leakage magnetic induction intensity threshold value.
The comprehensive evaluation module of the operation state of the isolation transformers is used for analyzing the first operation parameter standard reaching coefficient and the second operation parameter standard reaching coefficient of each isolation transformer according to the first operation parameter and the second operation parameter of each isolation transformer, further evaluating the comprehensive evaluation index of the operation state of each isolation transformer, judging whether the operation state of each isolation transformer is abnormal, and executing the control module of the isolation transformers if the operation state of each isolation transformer is abnormal.
Further, the analysis process of the integrated evaluation module for the operation state of the isolation transformer comprises the following steps: voltage compliance of each isolation transformerCurrent compliance->And insulation resistance compliance +.>Substitution formulaObtaining the first operation parameter standard reaching coefficient of each isolation transformer>WhereinRespectively representing preset reference values of voltage conformity, current conformity and insulation resistance conformity,weight factors respectively representing preset voltage conformity, current conformity and insulation resistance conformity,。
temperature rise coefficient of each isolation transformerNoise ratio factor->And leakage magnetic scale factor->Substitution formulaObtaining the second operation parameter standard reaching coefficient of each isolation transformer>WhereinRespectively representing the weights of a preset temperature rise coefficient, a noise proportion coefficient and a magnetic leakage proportion coefficient.
Further, the analysis process of the integrated evaluation module of the operation state of the isolation transformer further comprises the following steps: the first operation parameters of each isolation transformer reach the standard coefficientAnd a second operating parameter criterion coefficient +.>Substitution formulaObtaining the comprehensive evaluation index of the running state of each isolation transformer>Wherein->Weight factors respectively representing preset first operation parameter standard reaching coefficient and second operation parameter standard reaching coefficient, < ->。
Comparing the comprehensive evaluation index of the running state of each isolation transformer with a preset comprehensive evaluation index early warning value of the running state, if the comprehensive evaluation index of the running state of a certain isolation transformer is smaller than the preset comprehensive evaluation index early warning value of the running state, counting the running state of the isolation transformer to obtain each isolation transformer with abnormal running state.
The isolation transformer control module is used for cutting off each isolation transformer with abnormal running state from the target parallel isolation transformer group, and marking the rest isolation transformers in the target parallel isolation transformer group as isolation transformers to be analyzed.
The invention evaluates the operation state of each isolation transformer from various indexes of voltage, current, insulation resistance, temperature, noise and magnetic leakage, judges whether the operation state of each isolation transformer is abnormal, cuts off each isolation transformer with abnormal operation state from a target parallel isolation transformer group, realizes omnibearing and accurate monitoring of the operation state of the isolation transformer, improves the reliability and accuracy of the evaluation result of the operation state of the isolation transformer, prevents the fault isolation transformer from reducing the stability of the parallel isolation transformer group, and causes electric leakage and larger-scale faults.
The disturbance rejection performance monitoring module of the isolation transformer group is used for monitoring the current of each isolation transformer to be analyzed, analyzing the current stability of each isolation transformer to be analyzed, evaluating whether the disturbance rejection performance of the target parallel isolation transformer group meets the standards or not, and performing corresponding processing.
Further, the analysis process of the isolation transformer group disturbance rejection performance monitoring module comprises the following steps: setting the duration of an analysis period, and setting each data acquisition time point in the analysis period according to a preset principle.
And obtaining the output current and the input current of each isolation transformer to be analyzed at each data acquisition time point in the analysis period.
Establishing a coordinate system by taking data acquisition time points as independent variables and output currents as dependent variables, drawing output current characteristic curves of all the to-be-analyzed isolation transformers according to the output currents of all the to-be-analyzed isolation transformers at all the data acquisition time points in an analysis period, comparing the output current characteristic curves of all the to-be-analyzed isolation transformers with preset reference output current characteristic curves to obtain the coincidence degree of the output current characteristic curves of all the to-be-analyzed isolation transformers and the reference output current characteristic curves, and marking the coincidence degree as the output current stability of all the to-be-analyzed isolation transformers and representing the coincidence degree as the output current stability of all the to-be-analyzed isolation transformers，/>Indicate->The number of the isolation transformers to be analyzed, +.>。
Similarly, according to the analysis method of the output current stability of each isolation transformer to be analyzed, the input current stability of each isolation transformer to be analyzed is obtained and is recorded as。
By analysis of formulasObtaining the current stability of each isolation transformer to be analyzed>。
As a preferable scheme, the starting time of the analysis period is the corresponding time after the isolating transformers with abnormal running states of the target parallel isolating transformer group are cut off.
Further, the analysis process of the isolation transformer bank disturbance rejection performance monitoring module further comprises: comparing the current stability of each isolation transformer to be analyzed to obtain the minimum value of the current stability of the isolation transformer to be analyzed, recording the minimum value as the reference current stability of the target parallel isolation transformer set, comparing the reference current stability of the target parallel isolation transformer set with a preset current stability threshold value, and if the reference current stability of the target parallel isolation transformer set is smaller than the preset current stability threshold value, ensuring that the disturbance resistance of the target parallel isolation transformer set does not reach the standard and feeding back the result to a corresponding supervision center.
The method and the device can evaluate whether the disturbance rejection performance of the target parallel isolation transformer set meets the standard by analyzing the current stability of each isolation transformer to be analyzed, so that the analysis of the stable state of the parallel isolation transformer set after fault isolation transformers are cut off is realized, and the normal operation of the parallel isolation transformer set and the safety of a system are ensured.
The database is used for storing an isolation transformer voltage information base and an isolation transformer current information base and storing reference insulation resistances of the isolation transformers in the target parallel isolation transformer group.
Further, the isolation transformer voltage information base is used for storing reference input voltage, reference output voltage and reference ratio between output voltage and input voltage of each isolation transformer in the target parallel isolation transformer group, and the isolation transformer current information base is used for storing reference input current, reference output current and reference ratio between output current and input current of each isolation transformer in the target parallel isolation transformer group.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined herein.
Claims (6)
1. An intelligent conversion management system for parallel isolation transformers, comprising:
the first operation parameter acquisition module of the isolation transformer: the method comprises the steps of obtaining first operation parameters of each isolation transformer in a target parallel isolation transformer group, wherein the first operation parameters comprise voltage conformity, current conformity and insulation resistance conformity;
the second operation parameter acquisition module of the isolation transformer: the method comprises the steps of obtaining second operation parameters of each isolation transformer, wherein the second operation parameters comprise a temperature rise coefficient, a noise proportion coefficient and a magnetic leakage proportion coefficient;
the comprehensive evaluation module for the operation state of the isolation transformer comprises: for analyzing the first operating parameter standard coefficient and the second operating parameter standard coefficient of each isolation transformer according to the first operating parameter and the second operating parameter of each isolation transformer, further evaluating the comprehensive evaluation index of the running state of each isolation transformer, judging whether the running state of each isolation transformer is abnormal, and executing an isolation transformer control module if the running state of each isolation transformer is abnormal;
the analysis process of the isolation transformer running state comprehensive evaluation module comprises the following steps:
voltage compliance of each isolation transformerCurrent compliance->And insulation resistance compliance +.>Substitution formulaObtaining the first operation parameter standard reaching coefficient of each isolation transformer>Wherein->Respectively representing preset reference values of voltage conformity, current conformity and insulation resistance conformity,weight factors respectively representing preset voltage conformity, current conformity and insulation resistance conformity,；
temperature rise coefficient of each isolation transformerNoise ratio factor->And leakage magnetic scale factor->Substitution formulaObtaining the second operation parameter standard reaching coefficient of each isolation transformer>WhereinRespectively representing weights of a preset temperature rise coefficient, a noise proportion coefficient and a magnetic leakage proportion coefficient;
the analysis process of the isolation transformer running state comprehensive evaluation module further comprises the following steps:
the first operation parameters of each isolation transformer reach the standard coefficientAnd a second operating parameter criterion coefficient +.>Substitution formulaObtaining the comprehensive evaluation index of the running state of each isolation transformer>Wherein->Weight factors respectively representing preset first operation parameter standard reaching coefficient and second operation parameter standard reaching coefficient, < ->；
Comparing the operation state comprehensive evaluation index of each isolation transformer with a preset operation state comprehensive evaluation index early warning value, if the operation state comprehensive evaluation index of a certain isolation transformer is smaller than the preset operation state comprehensive evaluation index early warning value, the operation state of the isolation transformer is abnormal, and counting to obtain each isolation transformer with abnormal operation state;
isolation transformer control module: the method comprises the steps of cutting off each isolation transformer with abnormal running state from a target parallel isolation transformer group, and marking the rest isolation transformers in the target parallel isolation transformer group as isolation transformers to be analyzed;
isolation transformer group noise immunity performance monitoring module: the method comprises the steps of monitoring the current of each isolation transformer to be analyzed, analyzing the current stability of each isolation transformer to be analyzed, evaluating whether the disturbance resistance performance of a target parallel isolation transformer group meets the standard or not, and carrying out corresponding treatment;
database: the method is used for storing an isolation transformer voltage information base and an isolation transformer current information base and storing reference insulation resistances of the isolation transformers in the target parallel isolation transformer group.
2. The intelligent conversion management system of a parallel isolation transformer according to claim 1, wherein: the isolation transformer voltage information base is used for storing reference input voltage, reference output voltage and reference ratio between output voltage and input voltage of each isolation transformer in the target parallel isolation transformer group, and the isolation transformer current information base is used for storing reference input current, reference output current and reference ratio between output current and input current of each isolation transformer in the target parallel isolation transformer group.
3. The intelligent conversion management system of the parallel isolation transformer according to claim 2, wherein: the specific analysis process of the first operation parameter acquisition module of the isolation transformer is as follows:
: setting the duration of the monitoring period, and setting each sampling time in the monitoring period according to a preset equal time interval principleA point of separation;
the input voltage, the output voltage, the input current, the output current and the insulation resistance of each isolation transformer in the target parallel isolation transformer group at each sampling time point in the monitoring period are respectively recorded asWhereinIndicate->Number of the sampling time points, +.>，/>Indicate->Number of the isolation transformer>；
Extracting reference input voltage, reference output voltage and reference ratio between output voltage and input voltage of each isolation transformer in target parallel isolation transformer group stored in isolation transformer voltage information base, and respectively recording the reference input voltage, reference output voltage and reference ratio as；
Substituting the input voltage and the output voltage of each isolation transformer in each isolation transformer set in each sampling time point target parallel connection in the monitoring period into a formulaObtaining the voltage conformity of each isolation transformer>Wherein->Representing a predetermined voltage compliance correction factor, +.>Represents the number of sampling time points, e represents a natural constant,/->Respectively representing a preset input voltage deviation threshold value and an output voltage deviation threshold value of the isolation transformer, +.>Respectively representing preset input voltage, output voltage and weight factors of the ratio between the output voltage and the input voltage of the isolation transformer;
: similarly, according to the analysis method of the voltage coincidence degree of each isolation transformer, the current coincidence degree of each isolation transformer is obtained and is recorded as +.>；
: extracting the reference insulation resistance of each isolation transformer in the target parallel isolation transformer group stored in the database, and marking the reference insulation resistance as +.>；
Substituting insulation resistance of each isolation transformer in each sampling time point target parallel isolation transformer group in the monitoring period into a formulaObtaining the insulation resistance conformity of each isolation transformer>Wherein->Representing a preset insulation resistance compliance correction factor, < ->Representing a preset insulation resistance deviation threshold value of the isolation transformer.
4. The intelligent conversion management system of the parallel isolation transformer according to claim 3, wherein: the analysis process of the second operation parameter acquisition module of the isolation transformer is as follows:
: the temperature of each isolation transformer at each sampling time point in the monitoring period is obtained and is recorded as +.>；
By analysis of formulasObtaining the temperature rise coefficient of each isolation transformer>Wherein->Representing a preset temperature rise coefficient correction factor, +.>Representing a preset isolation transformer surface temperature threshold,indicating the%>Sample time Point->The temperature of the individual isolation transformers;
: acquiring the noise volume of each isolation transformer at each sampling time point in the monitoring period, and recording the noise volume as +.>By analysis formula->Obtaining the noise proportion coefficient of each isolation transformer>Wherein->Representing a predetermined noise figure correction factor, < ->Representing a preset noise volume threshold value of the isolation transformer;
: acquiring the magnetic induction intensity of the magnetic field of the region where each isolation transformer is positioned at each sampling time point in the monitoring period, and marking the magnetic induction intensity as +.>；
By analysis of formulasObtaining the leakage flux proportion coefficient of each isolation transformer>Wherein->And (5) representing a preset isolation transformer leakage magnetic induction intensity threshold value.
5. The intelligent conversion management system of a parallel isolation transformer according to claim 1, wherein: the analysis process of the isolation transformer group disturbance rejection performance monitoring module comprises the following steps:
setting the duration of an analysis period, and setting each data acquisition time point in the analysis period according to a preset principle;
obtaining output current and input current of each isolation transformer to be analyzed at each data acquisition time point in an analysis period;
establishing a coordinate system by taking data acquisition time points as independent variables and output currents as dependent variables, drawing output current characteristic curves of all the to-be-analyzed isolation transformers according to the output currents of all the to-be-analyzed isolation transformers at all the data acquisition time points in an analysis period, comparing the output current characteristic curves of all the to-be-analyzed isolation transformers with preset reference output current characteristic curves to obtain the coincidence degree of the output current characteristic curves of all the to-be-analyzed isolation transformers and the reference output current characteristic curves, and marking the coincidence degree as the output current stability of all the to-be-analyzed isolation transformers and representing the coincidence degree as the output current stability of all the to-be-analyzed isolation transformers，/>Indicate->The number of the isolation transformers to be analyzed, +.>；
Similarly, according to the analysis method of the output current stability of each isolation transformer to be analyzed, the input current stability of each isolation transformer to be analyzed is obtained and is recorded as；
By analysis of formulasObtaining the current stability of each isolation transformer to be analyzed>。
6. The intelligent conversion management system of the parallel isolation transformer according to claim 5, wherein: the analysis process of the isolation transformer group disturbance rejection performance monitoring module further comprises the following steps:
comparing the current stability of each isolation transformer to be analyzed to obtain the minimum value of the current stability of the isolation transformer to be analyzed, recording the minimum value as the reference current stability of the target parallel isolation transformer set, comparing the reference current stability of the target parallel isolation transformer set with a preset current stability threshold value, and if the reference current stability of the target parallel isolation transformer set is smaller than the preset current stability threshold value, ensuring that the disturbance resistance of the target parallel isolation transformer set does not reach the standard and feeding back the result to a corresponding supervision center.
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| CN111077380A (en) * | 2018-10-18 | 2020-04-28 | 江苏绿洁节能有限公司 | Full-automatic detection system for operation capacity of transformer |
| CN111784178A (en) * | 2020-07-10 | 2020-10-16 | 西南石油大学 | Distribution transformer state evaluation method based on multi-source information fusion |
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| CN104535865A (en) * | 2014-12-30 | 2015-04-22 | 西安工程大学 | Comprehensive diagnosing method for operation troubles of power transformer based on multiple parameters |
| CN111077380A (en) * | 2018-10-18 | 2020-04-28 | 江苏绿洁节能有限公司 | Full-automatic detection system for operation capacity of transformer |
| CN111784178A (en) * | 2020-07-10 | 2020-10-16 | 西南石油大学 | Distribution transformer state evaluation method based on multi-source information fusion |
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