CN116466264A - Meter box level multichannel indoor short circuit fault identification method and system - Google Patents
Meter box level multichannel indoor short circuit fault identification method and system Download PDFInfo
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- CN116466264A CN116466264A CN202310441574.1A CN202310441574A CN116466264A CN 116466264 A CN116466264 A CN 116466264A CN 202310441574 A CN202310441574 A CN 202310441574A CN 116466264 A CN116466264 A CN 116466264A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000035772 mutation Effects 0.000 claims abstract description 119
- 238000005070 sampling Methods 0.000 claims abstract description 42
- 238000004458 analytical method Methods 0.000 claims abstract description 5
- 230000008859 change Effects 0.000 claims description 32
- 238000011084 recovery Methods 0.000 claims description 5
- 238000012545 processing Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 abstract description 2
- 108091006146 Channels Proteins 0.000 description 74
- 230000008569 process Effects 0.000 description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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Abstract
The invention discloses a meter box-level multichannel indoor short circuit fault identification method and a system, wherein the method comprises the following steps: firstly, sampling the total incoming line of the meter box and the incoming line current of each user channel according to a set sampling period; secondly, finding out current mutation values of a meter box total incoming line and a user channel incoming line, and recording mutation time; comparing the current mutation time of the total incoming line of the meter box and the incoming line of the user channel, and judging whether the current mutation value of the incoming line of the user channel is real mutation data or not; and finally, identifying real short circuit data from the real mutation data based on multi-channel mutation condition analysis. Compared with the prior art, the invention does not need to modify a hardware sampling circuit, only reduces the probability of misjudgment and missed judgment of faults through multidimensional data analysis based on the sampling data of the existing current channel and the total incoming line of the meter box, effectively reduces the probability of misjudgment and missed judgment of faults, and improves the reliability of indoor short circuit fault judgment.
Description
Technical Field
The invention relates to a meter box-level multichannel indoor short circuit fault identification method and system, and belongs to the technical field of electric power research.
Background
At present, the indoor short circuit faults of residents are judged by current, the measuring range of current collecting equipment at the user side is generally within 80A, and the short circuit current can reach more than 200A, so when one current exceeds the collecting range of the equipment, the change of a reference can cause the misjudgment of the short circuit faults of all channels, in addition, the opening of some larger loads on a power grid line can generate some impact current, and the misjudgment of the short circuit faults is also easy to cause.
Therefore, a multichannel indoor short-circuit fault identification method needs to be designed, so that the judgment of large-current faults can be realized at lower cost, and the reliability of judging the indoor short-circuit faults is effectively improved.
Disclosure of Invention
The invention aims to: aiming at the problems existing in the prior art, the invention provides a meter box-level multichannel indoor short-circuit fault identification method and system, which are free from modifying a hardware sampling circuit, and can reduce the fault misjudgment and omission judgment probability through multidimensional data analysis based on the sampling data of the existing current channel and the total inlet wire of a meter box, thereby improving the reliability of the short-circuit fault judgment in Gao Hu.
The technical scheme is as follows: in order to achieve the above purpose, the invention provides a meter box level multichannel indoor short circuit fault identification method, which comprises the following steps:
step 1: obtaining current mutation values of a meter box total incoming line and each user channel incoming line, and recording mutation time;
step 2: comparing the current mutation time of the total incoming line of the meter box and the incoming line of the user channel, thereby judging whether the current mutation value of the incoming line of the user channel is real mutation data or not;
step 3: based on the multi-channel mutation situation analysis, real short circuit data are identified from the real mutation data.
Further, the step 1 specifically includes:
sampling the current of the main incoming line of the meter box and the incoming line of each user channel according to a set sampling period;
for the sampling data of the incoming line of each user channel, respectively calculating mutation values of two current points at intervals of t sampling periods, screening out current mutation values larger than a current mutation threshold A, and recording corresponding mutation time Ts [ x ], wherein x represents the number of the channel with mutation;
for the sampling data of the total line of the meter box, respectively calculating mutation values of two current points with t sampling periods, screening out current mutation values larger than a current mutation threshold B, and recording corresponding mutation time Ts [ y ], wherein y represents the phase with mutation.
Further, the step 2 specifically includes:
if the corresponding phases of the user channel incoming line and the meter box total incoming line have current mutation, and the mutation occurrence interval delta T does not exceed the time threshold C, the current mutation value of the user channel incoming line is represented as real mutation data, otherwise, the current mutation value of the user channel incoming line is represented as erroneous judgment data.
Further, the step 3 specifically includes:
acquiring the number of channels with mutation based on the real mutation data, and if the number of channels with mutation is smaller than the number of all user channels, indicating that the user channels corresponding to the real mutation data have short circuit faults;
if the number of channels with abrupt change is equal to the number of all user channels, it indicates that there is a possibility that the circuit reference changes due to exceeding the sampling range, so that it is necessary to further judge whether each user channel has a short circuit fault according to the change of the current effective value of the user channel.
Further, if the number of channels with mutation in the step 3 is equal to the number of all user channels, taking the channel with the forefront mutation time as the first channel, and judging whether the mutation duration Tc [ k ] of the first channel exceeds a time threshold D according to the current effective value change of the first channel, wherein k represents the serial number of the first channel;
if yes, the screened real abrupt change data are erroneous judgment data caused by the overscan, otherwise, the short circuit fault exists in the first channel, and whether the short circuit fault exists in other channels is judged according to the current effective value change of the other channels.
Further, the method for judging the mutation duration Tc [ k ] in the step 3 comprises the following steps:
if the current effective value Irms [ k ] of the first channel is smaller than the current recovery threshold E in the time [ Ts [ k ], ts [ k ] +D ], the mutation duration Tc [ k ] of the first channel does not exceed the time threshold D, otherwise, the mutation duration Tc [ k ] of the first channel exceeds the time threshold D, wherein Ts [ k ] represents the mutation time of the first channel.
Further, the method for judging the short-circuit fault of the other channels in the step 3 includes:
judging whether the difference value of the current effective values of other channels before and after the abrupt change is smaller than a current change threshold F, if so, indicating that the real abrupt change data of the channel is erroneous judgment data caused by the over-range, otherwise, indicating that the channel also has short circuit faults.
In addition, the invention also provides a meter box level multichannel indoor short-circuit fault identification system which comprises a fault sensing terminal with data acquisition, storage and processing capabilities, wherein the fault sensing terminal is used for carrying out short-circuit fault identification according to the meter box level multichannel indoor short-circuit fault identification method.
Further, the fault sensing terminal may be any one of a meter box side sensing terminal, a branch box sensing terminal, a box transformer sensing terminal or an edge side sensing terminal.
The beneficial effects are that: compared with the prior art, the invention has the following advantages:
1. if the conventional fault identification method is adopted, the hardware sampling capacity is required to be improved (namely the range is enlarged to adapt to short-circuit current), and the cost is increased, but the invention does not need to change the original hardware circuit (the range of equipment is not required to be changed), and can realize the judgment of large-current faults with lower cost on the premise of ensuring the small-current sampling precision;
2. through multidimensional analysis of the existing sampling data, the probability of misjudgment and missed judgment of faults is effectively reduced, and the reliability of judging indoor short-circuit faults is improved;
3. the real-time performance is high, and faults can be rapidly judged only by sampling data of a plurality of cycles;
4. when the actual field application is limited, such as the case side equipment does not support total incoming line sampling or can not sample the total incoming line, the main station side or the edge side can also be used for sampling, the application range is wide, and the fault judging accuracy is greatly improved.
Drawings
FIG. 1 is a schematic flow chart of a short circuit fault identification method in an embodiment of the invention;
FIG. 2 is a schematic diagram of a short-circuit fault recognition system according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of periodically performing short-circuit fault identification in an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will make the technical solution of the present invention more clearly and completely described with reference to the accompanying drawings.
As shown in fig. 1, the method for identifying the table-box-level multichannel indoor short-circuit fault provided by the embodiment includes the following steps:
1) Sampling the current of the main incoming line of the meter box and the incoming line of each user channel according to a set sampling period;
2) Finding out current mutation values of a meter box total incoming line and a user channel incoming line, and recording mutation time;
3) Comparing the current mutation time of the total incoming line of the meter box and the incoming line of the user channel, thereby judging whether the current mutation value of the incoming line of the user channel is real mutation data or not;
4) Based on the multi-channel mutation situation analysis, real short circuit data are identified from the real mutation data.
As shown in fig. 2, in this embodiment, the fault sensing terminal of the meter box is installed at the meter box, and the total incoming line terminal thereof collects three-phase current after the meter box is empty, and the user incoming line terminal thereof collects incoming line current after the user is empty.
In this embodiment, the steps for short-circuit fault identification are specifically as follows:
step 1: the meter box fault sensing terminal samples the meter box total incoming line and the incoming line current of each user channel according to a sampling period of 20ms to obtain a current sequenceI[a] 1 ～I[a] n 、I[b] 1 ～I[b] n 、I[c] 1 ～I[c] n 、I[1] 1 ～I[1] n ......I[m] 1 ～I[m] n Wherein n represents sampling value serial number, a, b, c represents current serial number of total incoming line ABC three phases, m represents user channel serial number, m is [1], sampling channel number]。
Step 2: and calculating the effective current values Irms 1-Irms m of the user incoming lines of each channel according to the sampling period.
Step 3: for the current sampling data of incoming line of each user channel, respectively calculating the abrupt change value delta I1 of two current points with t sampling periods]＝I[1] i+t -I[1] i ......ΔI[m]＝I[m] i+t -I[m] i ，i∈[1,n-t]。
Step 4: and comparing the mutation value delta I [1] of each channel with the current mutation threshold A one by one, if the mutation value is not smaller than the current mutation threshold A, recording the corresponding time Ts [ x ] of the mutation point i+t, and carrying out processing in the step 5, wherein x represents the number of the channel with mutation, otherwise, representing that the mutation value is erroneous judgment data.
Step 5: for the current sampling data of the total incoming line three phases, respectively calculating the abrupt change value delta I [ a ] of two current points with t sampling periods]＝I[a] j+t -I[a] j 、ΔI[b]＝I[b] j+t -I[b] j 、ΔI[c]＝I[c] j+t -I[c] j ，j∈[1,n-t]。
Step 6: and comparing the total incoming line mutation values delta I [ a ], delta I [ B ] and delta I [ c ] with the current mutation threshold value B one by one, and recording the corresponding time Ts [ y ] of the mutation point j+t if the mutation value is not smaller than the current mutation threshold value B, wherein y represents the phase where mutation occurs. By comparing the current abrupt change value with the current abrupt change threshold A, B, it is possible to distinguish whether it is an abrupt change caused by a short circuit or an abrupt change caused by an impact load, because the abrupt change caused by a short circuit is much larger than the abrupt change caused by an impact load. Meanwhile, because the testing range of the upper-level equipment (namely the total inlet wire of the meter box) is large, the set threshold B is large, and the current mutation caused by impact load can be accurately eliminated.
Step 7: acquiring the phase of a user channel with mutation, judging whether the corresponding total incoming line phase has mutation or not, if not, indicating that the mutation value is erroneous judgment data, and if so, further calculating mutation occurrence intervals delta T= \Ts [ x ] -Ts [ y ] \;
if the delta T does not exceed the time threshold C, the corresponding channel mutation value is real mutation data, otherwise, the corresponding channel mutation value is erroneous judgment data.
Step 8: judging the number of channels with mutation according to the real mutation data, when the number of channels with mutation is equal to the number of all users, indicating that the possibility of the change of the circuit reference due to the exceeding of the sampling range exists, and processing (judging whether the condition of simultaneous short circuit of multiple channels exists) in the step 9, otherwise, indicating that the user channels corresponding to the real mutation data have short circuit faults.
Step 9: comparing the mutation time Ts [ x ] of each channel, taking the channel with the forefront mutation time (the minimum Ts [ x ]) as the first channel (because of the process of short-circuiting has a current mutation, when the current does not exceed the sampling range, only the channel with the real short-circuiting has mutation, and when the current exceeds the sampling range, the sampling value of all channels is abnormal and exceeds the threshold A because of the change of the standard, so the first channel with the short-circuiting exceeds the threshold A in time sequence.
Step 10: judging whether the mutation duration Tc [ k ] of the first channel exceeds a time threshold D according to the current effective value Irms [ k ] of the first channel, wherein k represents the serial number of the first channel, and the judging process specifically comprises the following steps:
in each sampling period after the abrupt change, calculating a current effective value Irms [ k ] of the first channel, judging whether the Irms [ k ] is smaller than a current recovery threshold E, and judging that the termination condition is as follows: 1) Irms k of the current period is less than the threshold E or 2) the current time-Ts x=tp exceeds the threshold D;
if the case 1) is the case, the short circuit fault exists in the first channel, the abrupt recovery time Te [ k ] of the first channel is recorded, and Tc [ k ] =Te [ k ] -Ts [ k ], and the step 11 is carried out (the judgment of whether the short circuit fault exists in other channels is continued);
if case 2), the mutation duration Tc [ k ] of the first channel exceeds the threshold D, so that all channels with mutation are erroneous judgment data (mutation duration exceeding the threshold D due to real failure is short, so mutation duration exceeding the threshold D can only be erroneous judgment due to overscan).
Step 11: and for other channels with mutation in the time from Ts [ k ] to Te [ k ], if the difference value of the current effective values before and after the mutation (i.e. before and after the mutation from Ts [ k ] to Te [ k) is smaller than the current change threshold F, judging that the channel is suddenly changed into erroneous judgment caused by the over-range, otherwise, judging that the current channel has short circuit fault at the same time.
As shown in fig. 3, for each sampling period, a basic sampling step is performed (i.e. current instantaneous value and effective value are acquired each time), then whether a multi-channel mutation mark exists is judged, if yes, the multi-channel mutation condition is analyzed according to the current effective value, otherwise, whether the multi-channel mutation exists is judged according to the current mutation time of the total incoming line of the table box and the incoming line of the user channel, and thus the periodic judgment is performed.
In other embodiments, if a part of the meter box fault sensing terminals do not have the meter box total incoming line collecting capability, further short circuit fault judgment is performed by the main station side or the edge side by using the collecting capability of superior devices (such as the branch box sensing terminals, the box transformer sensing terminals, the edge side sensing terminals, and the like) at the branch lines or the box transformer positions, namely, user short circuit data Ts [ x ] reported by the meter box is recorded by the main station side or the edge side, historical data of the superior devices (namely, the meter box total incoming line) corresponding to the short circuit devices are searched from the database according to the existing topology information, whether the short circuit data Ts [ y ] exist in the superior devices within the allowable time range G is searched, if so, the real short circuit fault exists is defined, and otherwise, the short circuit fault is ignored.
Preferably, according to the actual field test result, t takes a value of 8, the current abrupt change threshold A takes 80A, the current abrupt change threshold B takes 200A, the current recovery threshold E takes 0.1A, the current change threshold F takes 0.5A, the time threshold C takes 60ms, the time threshold D takes 40ms, and the allowable time range G takes 1min.
The threshold is only a value under the preferred embodiment, and for different application scenarios, the threshold parameters can be adjusted according to actual conditions, or the scheme can be recombined.
The above detailed description is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention. Various modifications, substitutions and improvements of the technical scheme of the present invention will be apparent to those skilled in the art from the description and drawings provided herein without departing from the spirit and scope of the invention.
Claims (9)
1. The meter box level multichannel indoor short circuit fault identification method is characterized by comprising the following steps of:
step 1: obtaining current mutation values of a meter box total incoming line and each user channel incoming line, and recording mutation time;
step 2: comparing the total incoming line of the meter box with the current mutation time of the incoming line of each user channel, thereby judging whether the current mutation value of the incoming line of the user channel is real mutation data or not;
step 3: based on the multi-channel mutation situation analysis, real short circuit data are identified from the real mutation data.
2. The method for identifying the indoor short-circuit fault of the meter box level multichannel according to claim 1, wherein the step 1 specifically comprises the following steps:
sampling the current of the main incoming line of the meter box and the incoming line of each user channel according to a set sampling period;
for the sampling data of the incoming line of each user channel, respectively calculating mutation values of two current points at intervals of t sampling periods, screening out current mutation values larger than a current mutation threshold A, and recording corresponding mutation time Ts [ x ], wherein x represents the number of the channel with mutation;
for the sampling data of the total line of the meter box, respectively calculating mutation values of two current points with t sampling periods, screening out current mutation values larger than a current mutation threshold B, and recording corresponding mutation time Ts [ y ], wherein y represents the phase with mutation.
3. The method for identifying the indoor short-circuit fault of the meter box level multichannel according to claim 1, wherein the step 2 specifically comprises the following steps:
if the mutation occurrence interval delta T of the corresponding phases of the user channel incoming line and the meter box total incoming line does not exceed the time threshold C, the current mutation value of the user channel incoming line is represented as real mutation data, otherwise, the current mutation value of the user channel incoming line is represented as erroneous judgment data.
4. The method for identifying the indoor short-circuit fault of the meter box level multichannel according to claim 1, wherein the step 3 specifically comprises the following steps:
acquiring the number of channels with mutation based on the real mutation data, and if the number of channels with mutation is smaller than the number of all user channels, indicating that the user channels corresponding to the real mutation data have short circuit faults;
if the number of channels with abrupt change is equal to the number of all user channels, judging whether each user channel has short circuit fault or not according to the change of the effective current value of the user channel.
5. The method for identifying the indoor short circuit fault of the meter box level multichannel according to claim 4, wherein in the step 3, if the number of channels with mutation is equal to the number of all user channels, a channel with the forefront mutation time is taken as a first channel, and whether the mutation duration Tc [ k ] of the first channel exceeds a time threshold D is judged according to the current effective value change of the first channel, wherein k represents the serial number of the first channel;
if the current effective value of the first channel exceeds the current effective value of the second channel, the screened real abrupt change data are erroneous judgment data, otherwise, short circuit faults exist in the first channel, and whether short circuit faults exist in other channels is judged according to the current effective value changes of the other channels.
6. The method for identifying a table-class multichannel indoor short-circuit fault according to claim 5, wherein the method for judging the abrupt duration Tc [ k ] in step 3 comprises:
if the current effective value Irms [ k ] of the first channel is smaller than the current recovery threshold E in the time [ Ts [ k ], ts [ k ] +D ], the mutation duration Tc [ k ] of the first channel does not exceed the time threshold D, otherwise, the mutation duration Tc [ k ] of the first channel exceeds the time threshold D, wherein Ts [ k ] represents the mutation time of the first channel.
7. The method for identifying a table-class multichannel indoor short-circuit fault according to claim 5, wherein the method for judging the short-circuit faults of the other channels in the step 3 comprises the following steps:
judging whether the difference value of the current effective values of other channels before and after the abrupt change is smaller than a current change threshold F, if so, indicating that the real abrupt change data of the channel is erroneous judgment data, otherwise, indicating that the channel also has short circuit faults.
8. The meter box level multichannel indoor short circuit fault identification system is characterized by comprising a fault sensing terminal with data acquisition, storage and processing capabilities, wherein the fault sensing terminal is used for carrying out short circuit fault identification according to the meter box level multichannel indoor short circuit fault identification method in any one of claims 1-7.
9. The meter box level multi-channel indoor short circuit fault identification system of claim 8, wherein the fault sensing terminal comprises any one of a meter box side sensing terminal, a branch box sensing terminal, a box transformer sensing terminal, or an edge side sensing terminal.
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