CN113945839A - Application method of primary and secondary deep fusion intelligent fuse - Google Patents

Application method of primary and secondary deep fusion intelligent fuse Download PDF

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Publication number
CN113945839A
CN113945839A CN202111105247.6A CN202111105247A CN113945839A CN 113945839 A CN113945839 A CN 113945839A CN 202111105247 A CN202111105247 A CN 202111105247A CN 113945839 A CN113945839 A CN 113945839A
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fuse
time
qualified
monitoring
coefficient
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赵江良
俞登科
楼凯杰
颜伟东
孙晓辉
陶澍锋
楼锦程
孙泽鹏
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Zhejiang Rongda Electric Power Engineering Co ltd
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Zhejiang Rongda Electric Power Engineering Co ltd
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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
    • G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
    • G01R31/333—Testing of the switching capacity of high-voltage circuit-breakers ; Testing of breaking capacity or related variables, e.g. post arc current or transient recovery voltage
    • G01R31/3333—Apparatus, systems or circuits therefor
    • G01R31/3336—Synthetic testing, i.e. with separate current and voltage generators simulating distance fault conditions
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16504—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the components employed
    • G01R19/16509—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the components employed using electromagnetic relays, e.g. reed relay

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Abstract

The invention discloses an application method of an intelligent fuse with primary and secondary deep fusion, which relates to the technical field of intelligent fuse application, solves the technical problems of low integrity and accuracy of the fuse in the prior art, deeply fuses an alternating current sensor, a power taking module and a high-voltage fuse body, and also solves the problems of matching and joint debugging among primary and secondary equipment and the problems of overall performance and accuracy of the equipment; meanwhile, the method is also beneficial to small signal interface and transmission, and the anti-interference capability is stronger; the fuse is tested, so that the fuse is ensured not to generate impact current in the operation process, and the fuse is prevented from being melted or broken down by the impact current; the environment of the fuse is analyzed, the monitoring influence of the environment influence on the fuse is effectively distinguished, and the accuracy of fuse detection is improved; the operation accuracy of the qualified fuse is judged, so that the situation that components in a circuit are damaged due to the fact that the qualified fuse is reduced in operation efficiency due to faults and cannot be known in time is prevented.

Description

Application method of primary and secondary deep fusion intelligent fuse
Technical Field
The invention relates to the technical field of intelligent fuse application, in particular to an application method of an intelligent fuse with primary and secondary deep fusion.
Background
The power distribution internet of things is an important component of the energy internet of things, is an information physical system deeply fused with the traditional industrial technology and the internet of things technology, realizes comprehensive sensing, data fusion and intelligent application of the power distribution network through comprehensive interconnection, intercommunication and interoperation among power distribution network equipment, meets the demand of lean management of the power distribution network, supports the rapid development of the energy internet, and is a power distribution network in a new generation of power system; the fuse is an electric appliance which fuses a melt by using heat generated by the fuse when the current exceeds a specified value and disconnects a circuit, the fuse melts the melt by using the heat generated by the fuse after the current exceeds the specified value for a period of time so as to disconnect the circuit, and the current protector is manufactured by applying the principle;
the patent with the application number of CN2015105361138 discloses a fuse type isolating switch system, which is an improvement on the existing fuse type isolating switch, and can immediately inform maintenance personnel of replacing a fuse tube when the fuse tube of the isolating switch is blown, the disconnection of the isolating switch is used as a trigger signal to trigger an alarm circuit, and a fault point and a user of remote wireless maintenance personnel can light up a warning lamp, so that the maintenance personnel can conveniently search;
however, in the patent, although the existing fuse type disconnecting switch is improved, the signal acquisition and the lighting of the warning light are adopted, so that the maintenance personnel can conveniently search the fuse, the maintenance difficulty is effectively reduced, the fuse cannot be integrally sealed, the overall performance and accuracy of the equipment are reduced, and small signal interfaces and transmission are not facilitated; meanwhile, the fuse cannot be tested, and whether the fuse has impact current or not cannot be determined through the test, so that the safety performance of the fuse is reduced; in addition, the error of the fuse cannot be monitored in the real-time operation of the fuse, so that the working efficiency of the fuse is not clear, the fuse runs tiredly easily, and equipment is damaged;
a solution is now proposed to address the technical drawback in this respect.
Disclosure of Invention
The invention aims to provide an application method of a primary and secondary deep fusion intelligent fuse, which deeply fuses an alternating current sensor, a power taking module and a high-voltage fuse body, and solves the problems of matching and joint debugging among primary and secondary equipment and the problems of overall performance and accuracy of the equipment; meanwhile, the method is also beneficial to small signal interface and transmission, and the anti-interference capability is stronger; the fuse is tested, so that the fuse is ensured not to generate impact current in the operation process, and the fuse is prevented from being melted or broken down by the impact current; the environment of the fuse is analyzed, the monitoring influence of the environment influence on the fuse is effectively distinguished, and the accuracy of fuse detection is improved; the operation accuracy of the qualified fuse is judged, so that the situation that components in a circuit are damaged due to the fact that the qualified fuse is reduced in operation efficiency due to faults and cannot be known in time is prevented.
The purpose of the invention can be realized by the following technical scheme:
the application method of the intelligent fuse with the primary and secondary deep fusion comprises the steps that an electric power system is divided into a main station layer and a terminal layer, the terminal layer is used for collecting and analyzing information, and the terminal layer comprises a server, a quality monitoring unit, a boundary data monitoring unit and a classification using unit; the application method of the intelligent fuse comprises the following steps:
step one, fusion detection, namely, deeply fusing an alternating current sensor, a power taking module and a high-voltage fuse body, and integrally sealing the alternating current sensor, the power taking module and the fuse; marking the sealed product as primary and secondary equipment; marking the primary and secondary equipment as a standby fuse, and carrying out quality detection on the standby fuse;
step two, boundary data monitoring, namely performing data monitoring on a circuit installed in the fuse; putting the qualified fuses into use, analyzing the operation of the qualified fuses through the boundary data monitoring unit, and judging the operation accuracy of the qualified fuses;
and step three, fault judgment, namely detecting faults existing in the line and judging according to the corresponding faults.
As a preferred embodiment of the present invention, the quality monitoring unit specifically performs a quality monitoring process as follows:
setting a quality monitoring time threshold, acquiring a rated environment temperature range and a rated environment humidity range of a to-be-used fuse, marking an upper limit value of temperature in the rated environment temperature range as WDmax, marking a lower limit value as WDmin, marking an upper limit value of humidity in the rated environment humidity range as SDmax, marking a lower limit value of humidity as SDmin, dividing the quality monitoring time threshold into a plurality of monitoring time ends, marking time nodes corresponding to the plurality of monitoring time ends as i, acquiring real-time environment temperature and real-time environment humidity of each time node, and acquiring an environment influence coefficient Xi of each time node through analysis;
selecting a monitoring current, wherein the value range of the monitoring current is 0-100A, passing the monitoring current through a standby fuse, collecting the value of the passing current in the standby fuse, and if the difference value between the passing current and the monitoring current is less than 2 and the passing current is within the value range of the monitoring current, judging that no impact current is generated, namely collecting the fusing time of the fuse; if the difference value between the passing current value and the monitoring current is not less than 2 or the passing current is not within the value range of the monitoring current, judging that an impact current is generated, generating an unqualified fuse signal and sending the unqualified fuse signal to a server; collecting fusing time of a fuse to be used, obtaining a fusing period of the fuse to be used according to the fusing time, marking the fusing period of the fuse to be used as RDi, marking a passing current of the fuse to be used as TGi, and obtaining a qualification coefficient Hi of a corresponding time node of the fuse to be used through analysis;
comparing the qualified coefficient of the time node corresponding to the to-be-used melting apparatus with a qualified coefficient threshold value: if the qualification coefficient of the corresponding time node of the fuse to be used is larger than or equal to the qualification coefficient threshold, judging that the quality of the fuse to be used is qualified; if the qualification coefficient of the corresponding time node of the fuse to be used is less than the qualification coefficient threshold value, judging that the quality of the fuse to be used is unqualified; acquiring the qualified time node number of the standby fuse in a quality monitoring time threshold, and if the qualified time node number of the standby fuse is larger than the unqualified time node number and the unqualified time node number is less than or equal to 2, judging that the standby fuse is qualified; otherwise, the standby fuse is judged to be unqualified.
As a preferred embodiment of the present invention, the boundary data monitoring unit specifically analyzes and monitors the following processes:
analyzing the line to which the qualified fuse belongs, acquiring line voltage, load current and split-phase power in the current line through the qualified fuse, and acquiring the line voltage, the load current and the split-phase power in the previous line in real time through detection equipment; calculating to obtain a line voltage difference value, a load current difference value and a split-phase power difference value through the difference values, and obtaining a measurement difference coefficient K of the qualified fuse through analysis;
setting the monitoring and analyzing times t, wherein t is 1, 2, …, m is a positive integer greater than 1, constructing a measurement difference coefficient set { K1, K2, …, Kt } according to the measurement difference coefficients of qualified fuses, and K2 is expressed as the measurement difference coefficient of the second monitoring and analyzing; obtaining a mean value of a set of measured difference coefficients
Figure BDA0003271998960000041
Obtaining variance B of the measured difference coefficient set, and averaging the measured difference coefficient set
Figure BDA0003271998960000042
And comparing the measured difference coefficient set variance B with a mean threshold range and a variance threshold range respectively: if measuredMean value of difference coefficient set
Figure BDA0003271998960000043
If the measured difference coefficient set variance B and the measured difference coefficient set variance B are both within the corresponding threshold range, judging that the qualified fuse operates normally; if the mean value of the difference coefficient set is measured
Figure BDA0003271998960000044
And if the variance B and the measured difference coefficient set are not in the corresponding threshold range, judging that the qualified fuse is abnormal in operation.
As a preferred embodiment of the invention, the classification using unit comprises the following specific reasonable matching process: carrying out environmental analysis on the real-time line, acquiring the salt spray duration and the maximum humidity floating value in the surrounding environment of the real-time line, and respectively marking the salt spray duration and the maximum humidity floating value in the surrounding environment of the real-time line as W and S; acquiring a real-time line surrounding environment analysis coefficient Q through analysis; comparing the real-time line peripheral environment analysis coefficient Q with a peripheral environment analysis coefficient threshold value: if the real-time line peripheral environment analysis coefficient Q is larger than or equal to the peripheral environment analysis coefficient threshold, judging that the environment is severe, and using the fully-sealed jet type intelligent fuse as a using fuse; and if the real-time line peripheral environment analysis coefficient Q is less than the peripheral environment analysis coefficient threshold, judging that the environment is normal, and using the drop-out intelligent fuse as a using fuse.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, an alternating current sensor, a power taking module and a high-voltage fuse body are deeply fused, and the alternating current sensor, the power taking module and the fuse are integrally sealed; after the sealing, the device is marked as a primary device and a secondary device, the primary device and the secondary device realize integrated deep fusion, the problems of matching and joint debugging between the primary device and the secondary device and the problems of overall performance and accuracy of the devices are solved, the labor intensity of operation and maintenance personnel is reduced for customers, the working efficiency of the operation and maintenance personnel is improved, the whole device is more harmonious and perfect, small signal interfaces and transmission are facilitated, and the anti-interference capability is stronger; the quality of the fuse to be used is monitored by the quality monitoring unit, so that the stability of the fuse in use is improved, and the phenomenon that the line is broken down due to quality reasons after the fuse is in use is prevented, so that the safety of the fuse is reduced, the working efficiency is reduced, and unnecessary loss is brought to a user;
2. in the invention, the fuse is tested to ensure that the fuse can not generate impact current in the operation process and avoid the fuse from being melted or broken down by the impact current; the environment of the fuse is analyzed, the monitoring influence of the environment influence on the fuse is effectively distinguished, and the accuracy of fuse detection is improved;
3. according to the invention, the operation of the qualified fuses is analyzed through the boundary data monitoring unit, and the operation accuracy of the qualified fuses is judged, so that the condition that components in a line are damaged and the operation efficiency of the line is reduced due to the fact that the qualified fuses are reduced due to faults and cannot be known in time is prevented; measuring difference coefficient set mean
Figure BDA0003271998960000051
The error change trend of the fuse is reflected; the variance B of the difference coefficient set is measured, the variance is used for analyzing the dispersion degree of data, the variance of the measured difference coefficient is obtained, the distribution of the error values of the fuse can be clearly judged, and the accuracy of monitoring the error values of the fuse is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a block diagram of the overall operation of the present invention;
fig. 3 is a block diagram illustrating the operation of the master layer in 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.
Example 1:
as shown in fig. 1-2, in the application method of the primary and secondary deep fusion intelligent fuse, an electric power system is divided into a master station layer and a terminal layer, the master station layer is a core in the electric power system and manages the electric power system; the terminal layer is a foundation of the power system and used for information acquisition and analysis, and comprises a server, a quality monitoring unit, a boundary data monitoring unit, a fault judgment unit, a classified use unit and an electricity larceny prevention unit, wherein the server is in bidirectional communication connection with the quality monitoring unit, the boundary data monitoring unit, the fault judgment unit, the classified use unit and the electricity larceny prevention unit;
the AC sensor, the power taking module and the high-voltage fuse body are deeply fused, and the AC sensor, the power taking module and the fuse are integrally sealed; after the sealing, the device is marked as a primary device and a secondary device, the primary device and the secondary device realize integrated deep fusion, the problems of matching and joint debugging between the primary device and the secondary device and the problems of overall performance and accuracy of the devices are solved, the labor intensity of operation and maintenance personnel is reduced for customers, the working efficiency of the operation and maintenance personnel is improved, the whole device is more harmonious and perfect, small signal interfaces and transmission are facilitated, and the anti-interference capability is stronger;
mark a secondary equipment mark fuse for use to carry out quality monitoring through the quality monitoring unit with the fuse for use, improved the stability that the fuse put into use, prevent that the fuse from putting into use the back because quality reason leads to the paralysed phenomenon of circuit, thereby cause the security reduction and the work efficiency reduction of fuse, bring unnecessary loss for the user, specific quality monitoring process is as follows:
step S1: setting a quality monitoring time threshold, acquiring a rated environment temperature range and a rated environment humidity range of a to-be-used fuse, marking an upper temperature limit value in the rated environment temperature range as WDmax, marking a lower limit value as WDmin, marking an upper humidity limit value in the rated environment humidity range as SDmax, marking a lower humidity limit value as SDmin, dividing the quality monitoring time threshold into a plurality of monitoring time ends, and marking time nodes corresponding to the plurality of monitoring time ends as i, i is 1, 2, …, n, and n is a positive integer greater than 1;
step S2: the real-time ambient temperature and real-time ambient humidity of each time node are collected and respectively marked as WDi and SDi through formulas
Figure BDA0003271998960000071
Acquiring an environmental influence coefficient Xi of each time node, wherein a1 and a2 are preset proportionality coefficients, and a1 is greater than a2 is greater than 0;
step S3: selecting a monitoring current, wherein the value range of the monitoring current is 0-100A, passing the monitoring current through a standby fuse, collecting the value of the passing current in the standby fuse, and if the difference value between the passing current and the monitoring current is less than 2 and the passing current is within the value range of the monitoring current, judging that no impact current is generated, namely collecting the fusing time of the fuse; if the difference value between the passing current value and the monitoring current is not less than 2 or the passing current is not within the value range of the monitoring current, judging that an impact current is generated, generating an unqualified fuse signal and sending the unqualified fuse signal to a server; the fuse protector is ensured not to generate impact current in the operation process, and the fuse protector is prevented from being melted or broken down by the impact current;
step S4: collecting fusing time of the standby fuse, obtaining fusing period of the standby fuse according to the fusing time, marking the fusing period of the standby fuse as RDi, marking passing current of the standby fuse as TGi, and calculating fusing time of the standby fuse according to formula
Figure BDA0003271998960000072
Obtaining a qualification coefficient Hi of a time node corresponding to the to-be-used melting apparatus, wherein b1 and b2 are prediction proportionsCoefficient, and b1 > b2 > 0; the qualification coefficient is used for carrying out normalization processing on the parameters of the corresponding fuse of the time node to obtain a numerical value for evaluating the qualified operation probability of the fuse; the larger the fusing period and the passing current are obtained through a formula, the larger the qualification coefficient of the fuse is, the higher the probability of safe use of the fuse is, and meanwhile, the larger the environmental coefficient is, the larger the influence of the environment on the fuse is, the smaller the qualification coefficient of the fuse is; the monitoring influence of the environmental influence on the fuse is effectively distinguished, and the accuracy of fuse detection is improved;
step S5: comparing the qualified coefficient of the time node corresponding to the to-be-used melting apparatus with a qualified coefficient threshold value: if the qualification coefficient of the corresponding time node of the fuse to be used is larger than or equal to the qualification coefficient threshold, judging that the quality of the fuse to be used is qualified; if the qualification coefficient of the corresponding time node of the fuse to be used is less than the qualification coefficient threshold value, judging that the quality of the fuse to be used is unqualified; acquiring the qualified time node number of the standby fuse in a quality monitoring time threshold, and if the qualified time node number of the standby fuse is larger than the unqualified time node number and the unqualified time node number is less than or equal to 2, judging that the standby fuse is qualified; otherwise, judging that the fuse to be used is unqualified;
with qualified spare fuse mark as qualified fuse to with qualified fuse put into use, carry out the analysis to qualified fuse's operation through demarcation data monitoring unit simultaneously, judge qualified fuse's the operation degree of accuracy, thereby prevent that qualified fuse from leading to operating efficiency to reduce and can not in time know because of the fault, cause the interior components and parts of circuit impaired, the operating efficiency of circuit reduces simultaneously, concrete analysis and monitoring process as follows:
step SS 1: analyzing the line to which the qualified fuse belongs, acquiring line voltage, load current and split-phase power in the current line through the qualified fuse, and respectively marking the line voltage, the load current and the split-phase power in the current line as DY, DL and GL; line voltage, load current and split-phase power in a front line are obtained in real time through detection equipment and are marked as DY ', DL ' and GL '; calculating and acquiring a line voltage difference value, a load current difference value and a split-phase power difference value through the difference values, and respectively marking the line voltage difference value, the load current difference value and the split-phase power difference value as CDY, CDL and CGL;
step SS 2: by the formula K ═ eCDY×c1+eCDL×c2+eCGL×c3Obtaining a measurement difference coefficient K of the qualified fuse, wherein c1, c2 and c3 are weight analysis coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and e is a natural constant; the measurement difference coefficient is used for carrying out normalization processing on the measurement parameters of the qualified fuses to obtain a numerical value for evaluating the accuracy of the qualified fuses; the larger the line voltage difference value, the load current difference value and the split-phase power difference value obtained by a formula are, the larger the measurement difference coefficient of the fuse is, and the larger the accuracy difference value of the fuse is represented;
step SS 3: setting the monitoring and analyzing times t, wherein t is 1, 2, …, m is a positive integer greater than 1, constructing a measurement difference coefficient set { K1, K2, …, Kt } according to the measurement difference coefficients of qualified fuses, and K2 is expressed as the measurement difference coefficient of the second monitoring and analyzing; by the formula
Figure BDA0003271998960000091
Obtaining a mean value of a set of measured difference coefficients
Figure BDA0003271998960000092
Mean value
Figure BDA0003271998960000093
The error change trend of the fuse is reflected; by passing
Figure BDA0003271998960000094
The variance B of the measurement difference coefficient set is obtained, the variance is used for analyzing the dispersion degree of data, the variance of the measurement difference coefficient is obtained, the distribution of the error values of the fuse can be clearly judged, and the accuracy of monitoring the error values of the fuse is improved;
step SS 4: measuring the mean value of the difference coefficient set
Figure BDA0003271998960000095
And measure difference coefficient set squareThe difference B is compared to a mean threshold range and a variance threshold range, respectively: if the mean value of the difference coefficient set is measured
Figure BDA0003271998960000096
If the measured difference coefficient set variance B and the measured difference coefficient set variance B are both within the corresponding threshold range, judging that the qualified fuse operates normally; if the mean value of the difference coefficient set is measured
Figure BDA0003271998960000097
If the variance B and the measured difference coefficient set are not in the corresponding threshold range, judging that the qualified fuse is abnormal in operation;
categorised use of unit is used for rationally matching the fuse according to real-time line environment, has improved the qualification rate of fuse, reduces the fuse simultaneously and receives the influence of environment, and concrete reasonable matching process is as follows:
carrying out environmental analysis on the real-time line, acquiring the salt spray duration and the maximum humidity floating value in the surrounding environment of the real-time line, and respectively marking the salt spray duration and the maximum humidity floating value in the surrounding environment of the real-time line as W and S; by Q ═ W × x1+ S × x2)2Acquiring a real-time line surrounding environment analysis coefficient Q, wherein x1 and x2 are preset proportionality coefficients, and x1 is greater than x2 is greater than 0;
comparing the real-time line peripheral environment analysis coefficient Q with a peripheral environment analysis coefficient threshold value: if the real-time line peripheral environment analysis coefficient Q is larger than or equal to the peripheral environment analysis coefficient threshold, judging that the environment is severe, and using the fully-sealed jet type intelligent fuse as a using fuse; if the real-time line peripheral environment analysis coefficient Q is less than the peripheral environment analysis coefficient threshold, judging that the environment is normal, and using the drop-out intelligent fuse as a using fuse;
the electricity stealing prevention unit is used for monitoring electricity consumption of a user and preventing electricity stealing, the electricity quantity of the user electricity meter is compared with that of a special transformer user low-voltage multifunctional electricity meter, and if the user electricity meter and the multifunctional electricity meter have a difference value in monitoring electricity quantity and the electricity quantity value of the user electricity meter is low, electricity stealing behavior corresponding to the user is judged;
the fault judgment unit is used for judging and processing line faults and monitoring interphase short-circuit faults and single-phase earth faults in real time; the quick fault positioning is realized, and the fault checking time is shortened;
example 2:
as shown in fig. 3, the application method of the primary and secondary deep fusion intelligent fuse includes a master station layer, wherein a controller is arranged in the master station layer, and the controller is in communication connection with a power grid monitoring unit and a power grid control unit;
the power grid monitoring unit is used for monitoring the running state of the power grid, monitoring and managing the power grid, effectively improving the management efficiency of the power grid, and improving the problem processing timeliness of the power grid, wherein the specific state monitoring process is as follows:
collecting a power grid coverage area, and dividing the power grid coverage area into o sub-grid areas, wherein o is a natural number greater than 1; acquiring the electric quantity demand and the electric quantity supply quantity of each subnet area, if the electric quantity demand of each subnet area is larger than the electric quantity supply quantity, judging that the electric quantity of the corresponding subnet area is abnormal, generating an electric quantity abnormal signal and sending the electric quantity abnormal signal to a controller; if the electric quantity demand of the subnet area is less than or equal to the electric quantity supply, judging that the electric quantity of the corresponding subnet area is normal;
analyzing the power supply delay time of the subnet area, if the power supply delay time of the subnet area is not less than a delay time threshold, judging that the power supply of the corresponding subnet area is abnormal, generating a power supply abnormal signal and sending the power supply abnormal signal to the controller; if the delay time of the electricity supply of the subnet area is less than the delay time threshold, judging that the electricity supply of the corresponding subnet area is normal;
after receiving the electric quantity abnormal signal and the power supply abnormal signal, the controller generates a control signal and sends the control signal to the power grid control unit;
the power grid control unit is used for receiving the control signal and regulating and controlling the power grid, so that the power grid fault removal efficiency is effectively improved, inconvenience and loss caused by power grid faults are reduced, a subnet area corresponding to the power abnormal signal or the power supply abnormal signal is acquired, and the corresponding subnet area is marked as a maintenance subnet area; the method comprises the steps of analyzing distribution equipment in a sub-network maintenance area, isolating faults in time, and providing correct and effective power failure recovery strategies to help a dispatcher to accurately determine fault positions, isolate fault areas, recover power supply of non-fault areas as much as possible, and reduce fault loss to the minimum.
The working principle of the invention is as follows:
the application method of the intelligent fuse with the primary and secondary deep fusion comprises the steps of performing fusion detection during working, performing deep fusion on an alternating current sensor, a power taking module and a high-voltage fuse body, and integrally sealing the alternating current sensor, the power taking module and the fuse; after sealing, marking the fuse as primary and secondary equipment, marking the primary and secondary equipment as a standby fuse, performing quality detection and boundary data monitoring on the standby fuse, performing data monitoring on a line on which the fuse is installed, putting the qualified fuse into use, analyzing the operation of the qualified fuse through a boundary data monitoring unit, judging the operation accuracy of the qualified fuse, judging a fault, detecting the fault existing in the line and judging the fault according to the corresponding fault;
the above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (4)

1. The application method of the intelligent fuse with the primary and secondary deep fusion is characterized in that an electric power system is divided into a main station layer and a terminal layer, the terminal layer is used for collecting and analyzing information, and the terminal layer comprises a server, a quality monitoring unit, a boundary data monitoring unit and a classification using unit;
the application method of the intelligent fuse comprises the following steps:
step one, fusion detection, namely, deeply fusing an alternating current sensor, a power taking module and a high-voltage fuse body, and integrally sealing the alternating current sensor, the power taking module and the fuse; marking the sealed product as primary and secondary equipment; marking the primary and secondary equipment as a standby fuse, and carrying out quality detection on the standby fuse;
step two, boundary data monitoring, namely performing data monitoring on a circuit installed in the fuse; putting the qualified fuses into use, analyzing the operation of the qualified fuses through the boundary data monitoring unit, and judging the operation accuracy of the qualified fuses;
and step three, fault judgment, namely detecting faults existing in the line and judging according to the corresponding faults.
2. The method for applying the intelligent fuse with the primary and secondary deep fusion as claimed in claim 1, wherein the quality monitoring unit comprises the following specific quality monitoring processes:
setting a quality monitoring time threshold, acquiring a rated environment temperature range and a rated environment humidity range of a to-be-used fuse, marking an upper limit value of temperature in the rated environment temperature range as WDmax, marking a lower limit value as WDmin, marking an upper limit value of humidity in the rated environment humidity range as SDmax, marking a lower limit value of humidity as SDmin, dividing the quality monitoring time threshold into a plurality of monitoring time ends, marking time nodes corresponding to the plurality of monitoring time ends as i, acquiring real-time environment temperature and real-time environment humidity of each time node, and acquiring an environment influence coefficient Xi of each time node through analysis;
selecting a monitoring current, wherein the value range of the monitoring current is 0-100A, passing the monitoring current through a standby fuse, collecting the value of the passing current in the standby fuse, and if the difference value between the passing current and the monitoring current is less than 2 and the passing current is within the value range of the monitoring current, judging that no impact current is generated, namely collecting the fusing time of the fuse; if the difference value between the passing current value and the monitoring current is not less than 2 or the passing current is not within the value range of the monitoring current, judging that an impact current is generated, generating an unqualified fuse signal and sending the unqualified fuse signal to a server; collecting fusing time of a fuse to be used, obtaining a fusing period of the fuse to be used according to the fusing time, marking the fusing period of the fuse to be used as RDi, marking a passing current of the fuse to be used as TGi, and obtaining a qualification coefficient Hi of a corresponding time node of the fuse to be used through analysis;
comparing the qualified coefficient of the time node corresponding to the to-be-used melting apparatus with a qualified coefficient threshold value: if the qualification coefficient of the corresponding time node of the fuse to be used is larger than or equal to the qualification coefficient threshold, judging that the quality of the fuse to be used is qualified; if the qualification coefficient of the corresponding time node of the fuse to be used is less than the qualification coefficient threshold value, judging that the quality of the fuse to be used is unqualified; acquiring the qualified time node number of the standby fuse in a quality monitoring time threshold, and if the qualified time node number of the standby fuse is larger than the unqualified time node number and the unqualified time node number is less than or equal to 2, judging that the standby fuse is qualified; otherwise, the standby fuse is judged to be unqualified.
3. The method for applying the intelligent fuse with the primary and secondary deep fusion as claimed in claim 1, wherein the specific analysis and monitoring process of the demarcation data monitoring unit is as follows:
analyzing the line to which the qualified fuse belongs, acquiring line voltage, load current and split-phase power in the current line through the qualified fuse, and acquiring the line voltage, the load current and the split-phase power in the previous line in real time through detection equipment; calculating to obtain a line voltage difference value, a load current difference value and a split-phase power difference value through the difference values, and obtaining a measurement difference coefficient K of the qualified fuse through analysis;
setting the monitoring and analyzing times t, wherein t is 1, 2, …, m is a positive integer greater than 1, constructing a measurement difference coefficient set { K1, K2, …, Kt } according to the measurement difference coefficients of qualified fuses, and K2 is expressed as the measurement difference coefficient of the second monitoring and analyzing; obtaining a mean value of a set of measured difference coefficients
Figure FDA0003271998950000021
Obtaining variance B of the measured difference coefficient set, and averaging the measured difference coefficient set
Figure FDA0003271998950000022
And comparing the measured difference coefficient set variance B with a mean threshold range and a variance threshold range respectively: if the mean value of the difference coefficient set is measured
Figure FDA0003271998950000023
If the measured difference coefficient set variance B and the measured difference coefficient set variance B are both within the corresponding threshold range, judging that the qualified fuse operates normally; if the mean value of the difference coefficient set is measured
Figure FDA0003271998950000031
And if the variance B and the measured difference coefficient set are not in the corresponding threshold range, judging that the qualified fuse is abnormal in operation.
4. The application method of the intelligent fuse with the primary and secondary deep fusion as claimed in claim 1, wherein the specific reasonable matching process of the classified using units is as follows: carrying out environmental analysis on the real-time line, acquiring the salt spray duration and the maximum humidity floating value in the surrounding environment of the real-time line, and respectively marking the salt spray duration and the maximum humidity floating value in the surrounding environment of the real-time line as W and S; acquiring a real-time line surrounding environment analysis coefficient Q through analysis; comparing the real-time line peripheral environment analysis coefficient Q with a peripheral environment analysis coefficient threshold value: if the real-time line peripheral environment analysis coefficient Q is larger than or equal to the peripheral environment analysis coefficient threshold, judging that the environment is severe, and using the fully-sealed jet type intelligent fuse as a using fuse; and if the real-time line peripheral environment analysis coefficient Q is less than the peripheral environment analysis coefficient threshold, judging that the environment is normal, and using the drop-out intelligent fuse as a using fuse.
CN202111105247.6A 2021-09-22 2021-09-22 Application method of primary and secondary deep fusion intelligent fuse Pending CN113945839A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114296009A (en) * 2022-03-10 2022-04-08 山东汇能电气有限公司 Intelligent analysis system for transformer operation

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114296009A (en) * 2022-03-10 2022-04-08 山东汇能电气有限公司 Intelligent analysis system for transformer operation
CN114296009B (en) * 2022-03-10 2022-05-24 山东汇能电气有限公司 Intelligent analysis system for transformer operation

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