CN112433127B - Fault type identification method and device based on intelligent fusion terminal of transformer area - Google Patents
Fault type identification method and device based on intelligent fusion terminal of transformer area Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 230000004927 fusion Effects 0.000 title claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims description 26
- 230000001052 transient effect Effects 0.000 claims description 19
- 230000009471 action Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 9
- 238000012423 maintenance Methods 0.000 description 3
- 238000012806 monitoring device Methods 0.000 description 3
- 230000008439 repair process Effects 0.000 description 3
- 230000016507 interphase Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000007493 shaping process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
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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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- 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 relates to a fault type identification method and device based on a transformer area intelligent fusion terminal.
Description
Technical Field
The invention relates to the technical field of low-voltage distribution networks, in particular to a fault type identification method and device based on a district intelligent fusion terminal.
Background
The low voltage distribution transformer area is the end of the distribution network to which the end user is connected, and is typically characterized by: the points are multiple-sided, the environment is complex, the faults are many, and the identification is difficult. The fault repair of the distribution area brings huge workload to power management and maintenance units, particularly long-time power failure caused by line faults is frequently complained or compensated by users, and therefore, the fault identification and informatization of the distribution area are an important link for solving the contradiction and are increasingly emphasized.
Since 2017, the national grid company performs intelligent transformation and upgrading for the power distribution area: the low-voltage side of the distribution transformer of the transformer area is provided with an intelligent fusion terminal of the transformer area, an original line protection switch of the transformer area is kept unchanged (the fault automatic cutting function is exerted), and an electric sensing device is additionally arranged at a node of the original line protection switch of the transformer area, wherein the intelligent fusion terminal of the transformer area is used as the transformer area device to be responsible for accessing the electric sensing device and the line protection switch and directly collecting electric data of the total line of the transformer area distribution transformer. Under the condition, the intelligent fusion terminal of the transformer area can only collect the power failure information reported by the electric sensing equipment through communication to identify the failure power failure, but cannot obtain the specific type (grounding or short circuit) of the power failure at the time, which is not beneficial to the power management and maintenance units for shaping and repairing the failure.
Disclosure of Invention
Based on the above situation in the prior art, the invention aims to provide a method for comprehensively analyzing the type of power failure and reporting the type of the power failure to a background master station by taking a intelligent fusion terminal of a transformer area as an edge computing center, distributing total incoming line electric quantity data through a high-frequency wave recording transformer area, and combining power failure information/electric quantity data reported by electric sensing equipment at the line side of the transformer area.
In order to achieve the above object, according to one aspect of the present invention, there is provided a fault type identification method based on a zone intelligent fusion terminal, including the steps of:
collecting signal data of each acquisition point, wherein the signal data comprises transient state quantity data and normal state quantity data; based on the collected signal data, performing fault type identification through edge calculation;
and uploading the fault type identification result to a power distribution management background.
Further, the fault type identification comprises transient data fault type identification and normal data acquisition fault type identification.
Further, the transient data fault type identification comprises short circuit type identification, open-phase analysis identification, electric leakage analysis identification and fault removal duration calculation.
Further, the short circuit type identification includes the steps of:
when the voltage of any phase at the incoming line end is smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying the single-phase earth fault;
when the voltage of any two phases at the wire inlet end is smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying that the phase is short-circuited or the two phases are grounded;
and when the three-phase voltages at the wire inlet end are smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying the three-phase short circuit or the grounding fault.
Further, the phase failure analysis and identification method comprises the following steps:
when the voltage of any one phase or two phases at the inlet wire end is smaller than 50V, and the three-phase current is smaller than 1.2 times rated value and lasts for 0.2s, the fault is identified as the phase-failure fault at the high-voltage side of the distribution transformer.
Further, the leakage analysis and identification method comprises the following steps:
and when the leakage current of the wire inlet end is greater than 50mA and lasts for 0.2s, identifying the leakage fault.
The fault removal duration calculation comprises the following steps:
and calculating the time from the beginning of the disturbance of the incoming line electric quantity to the tripping of the circuit breaker, and judging the accuracy of the action of the circuit breaker by combining the delay fixed value.
Further, the normal quantity data acquisition fault type identification comprises voltage quality monitoring, load rate monitoring, three-phase load monitoring, power factor monitoring, phase loss monitoring, temperature and humidity monitoring, tower gradient monitoring and low-voltage zero line disconnection monitoring.
Further, the signal data of each acquisition point is acquired,
when the transient data is acquired, the acquisition frequency is 20 ms/time;
when normal quantity data is collected, the collection frequency is 10 min/time.
According to another aspect of the invention, a fault type identification device based on a zone intelligent fusion terminal is provided, and the fault type identification device comprises a data acquisition module, a fault type identification module and an uploading module; wherein,,
the data acquisition module acquires signal data of each acquisition point, wherein the signal data comprises transient state quantity data and normal state quantity data;
the fault type recognition module is used for recognizing the fault type through edge calculation based on the collected signal data;
and the uploading module is used for uploading the fault type identification result to a power distribution management background.
In summary, the invention provides a fault type identification method and an identification device based on a transformer area intelligent fusion terminal, which acquire normal data and transient data of a low-voltage transformer area terminal, identify fault types through edge calculation, obtain fault types under various conditions, and upload the fault types to a power distribution management background in time, so that the on-site data of the transformer area terminal is comprehensively analyzed to obtain the power failure fault types, and the efficiency of power management and maintenance units on fault shaping and rush repair preparation is improved.
Drawings
FIG. 1 is an electrical diagram of a typical installation in a low voltage distribution block;
FIG. 2 is an overall block diagram of the data acquisition and analysis of the power distribution area of the present invention;
FIG. 3 is a flow chart of a fault type identification method based on a zone intelligent fusion terminal of the present invention;
fig. 4 is a schematic diagram of fault type recognition based on transient data in the fault type recognition method based on the intelligent fusion terminal of the present invention;
fig. 5 is a schematic diagram of fault type recognition based on normal data in the fault type recognition method based on the intelligent fusion terminal of the present invention.
Fig. 6 is an overall structure diagram of a fault type recognition device based on a zone intelligent fusion terminal.
Detailed Description
The objects, technical solutions and advantages of the present invention will become more apparent by the following detailed description of the present invention with reference to the accompanying drawings. It should be understood that the description is only illustrative and is not intended to limit the scope of the invention. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the present invention.
The following describes the technical scheme of the present invention in detail with reference to the accompanying drawings. First, referring to the structure of the low-voltage distribution transformer area, fig. 1 shows a typical device configuration manner of the low-voltage distribution transformer area, where a data acquisition point is set, including: the distribution transformer incoming line configures an acquisition point of an intelligent distribution transformer terminal (or a fusion terminal); the distribution transformer line is provided with an acquisition point of the intelligent residual current protection device; the low-voltage middle-section node is provided with an acquisition point of the LTU of the monitoring device; configuring an acquisition point of a monitoring device LTU by a drainage and irrigation node; the low-voltage end user configures an acquisition point of the LTU of the monitoring device; the distribution transformer rack is provided with a temperature and humidity sensor and a collecting point of the tower provided with an inclination sensor. The invention realizes power failure analysis and anomaly monitoring by collecting transient state quantity data and normal state quantity data, and the overall block diagram of the collection and analysis is shown in figure 2. The system comprises the items of electric quantity timing acquisition, transient data recording, electric quantity normal state acquisition, temperature and humidity acquisition, tower gradient acquisition and the like, and the analysis results are uploaded to a main station after monitoring and analysis.
According to an embodiment of the present invention, there is provided a fault type identification method based on a zone intelligent fusion terminal, and an implementation flow chart of the method is shown in fig. 3, including the steps of:
collecting signal data of each acquisition point, wherein the signal data comprises transient state quantity data and normal state quantity data; based on the collected signal data, performing fault type identification through edge calculation;
and uploading the fault type identification result to a power distribution management background.
Fig. 4 shows a schematic diagram of fault type recognition based on transient data in the fault type recognition method, and the intelligent fusion terminal of the transformer area monitors electric quantities such as low-voltage side current and voltage of the distribution transformer once every 20 milliseconds through an electric quantity wiring terminal of the TTU, and after receiving an outgoing line leakage protection switching-off message, the temporary analysis of incoming line and disconnection equipment electric quantity for 2 seconds before and after a plastic breaking time point is tracked, and judges the power failure type, wherein the temporary analysis comprises 6 items such as single-phase grounding, two-phase grounding, inter-phase short circuit, three-phase short circuit and the like.
Single phase grounding: the voltage of any phase of the incoming line is smaller than 50V, and the fault phase current is larger than 6 times rated value.
Phase-to-phase or two-phase ground: the voltage of any two phases of the incoming line is smaller than 50V, and the fault phase current is larger than 6 times rated value.
Three-phase short circuit or ground: the incoming line three-phase voltage is less than 50V and the fault phase current is greater than 6 times the nominal value.
Phase failure: the voltage of either or both phases is less than 50V and the three-phase current is less than 1.2 times the rated value.
Zero line breakage: the low-voltage zero line voltage to ground is greater than 150V.
Leakage: the line leakage current is greater than 50mA.
Overload: the port load rate of each breaker is greater than x times rated current.
Specifically, each type of fault identification can be performed by:
short circuit type identification: when the voltage of any phase at the incoming line end is smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying the single-phase earth fault;
when the voltage of any two phases at the wire inlet end is smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying that the phase is short-circuited or the two phases are grounded;
and when the three-phase voltages at the wire inlet end are smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying the three-phase short circuit or the grounding fault.
And (3) phase failure analysis and identification: when the voltage of any one phase or two phases at the inlet wire end is smaller than 50V, and the three-phase current is smaller than 1.2 times rated value and lasts for 0.2s, the fault is identified as the phase-failure fault at the high-voltage side of the distribution transformer.
And (3) electric leakage analysis and identification: and when the leakage current of the wire inlet end is greater than 50mA and lasts for 0.2s, identifying the leakage fault.
Calculating fault removal duration: and calculating the time from the beginning of the disturbance of the incoming line electric quantity to the tripping of the circuit breaker, and judging the accuracy of the action of the circuit breaker by combining the delay fixed value.
Fig. 5 shows a schematic diagram of fault type recognition based on normal data in a fault type recognition method, wherein normal quantity data acquisition fault type recognition comprises voltage quality monitoring, load factor monitoring, three-phase load monitoring, power factor monitoring, phase loss monitoring, temperature and humidity monitoring, tower inclination monitoring and low-voltage zero line disconnection monitoring.
According to transient data record, the intelligent distribution transformer terminal realizes short circuit type analysis (including single-phase grounding, interphase short circuit or two-phase grounding, three-phase short circuit or grounding tripping judgment), phase failure analysis (phase failure tripping input), leakage analysis, fault removal duration calculation and the like through edge calculation and transmits the short circuit type analysis to the distribution automation master station system.
The system generates and displays a power failure event record according to the power failure analysis result sent by the intelligent distribution transformer terminal. The master station system demonstrates an example: * Station area branch power outage, fault type: single-phase/phase short circuit or two-phase/three-phase short circuit or grounding/phase loss/leakage/overload, the circuit breaker acts correctly, and the fault removal time is in ms.
According to another embodiment of the invention, a fault type identification device based on a zone intelligent fusion terminal is provided, and the overall structure diagram of the device is shown in fig. 6. The device comprises: the system comprises a data acquisition module, a fault type identification module and an uploading module. The data acquisition module acquires signal data of each acquisition point, wherein the signal data comprises transient state quantity data and normal state quantity data; the fault type recognition module is used for recognizing the fault type based on the collected signal data; and the uploading module is used for uploading the fault type identification result to a power distribution management background. In the fault type recognition module, specific steps of each fault type recognition are the same as those in the method provided in the first embodiment of the present invention, and are not described herein.
In summary, the invention relates to a fault type identification method and an identification device based on a intelligent fusion terminal of a transformer area, which are based on the collection of normal data and transient data of a low-voltage transformer area terminal, obtain fault types under various conditions through edge calculation and analysis, and upload the fault types to a power distribution management background in time, so that the on-site data of the transformer area terminal is comprehensively analyzed to obtain power failure fault types (including ground faults, short circuit faults, leakage faults and the like), and the power management/repair unit is powerfully supported to process faults and restore power supply efficiency.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explanation of the principles of the present invention and are in no way limiting of the invention. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.
Claims (4)
1. A fault type identification method based on a platform area intelligent fusion terminal is characterized by comprising the following steps:
collecting signal data of each acquisition point, wherein the signal data comprises transient state quantity data and normal state quantity data;
based on the collected signal data, performing fault type identification through edge calculation, including: transient data fault type identification and normal data acquisition fault type identification; the transient data fault type identification comprises short circuit type identification, phase failure analysis identification, electric leakage analysis identification and fault removal duration calculation; the electric leakage analysis and identification comprises the following steps: when the leakage current of the wire inlet end is greater than 50mA and lasts for 0.2s, the wire inlet end is identified as a leakage fault; the short circuit type identification comprises the following steps: when the voltage of any phase at the incoming line end is smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying the single-phase earth fault; when the voltage of any two phases at the wire inlet end is smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying that the phase is short-circuited or the two phases are grounded; when the three-phase voltages of the wire inlet end are smaller than 50V and the fault phase current is larger than 6 times of rated value, identifying the three-phase short circuit or grounding fault; when the voltage of any one phase or two phases at the inlet wire end is less than 50V, and the three-phase current is less than 1.2 times of rated value and lasts for 0.2s, identifying the fault as the phase failure at the high-voltage side of the distribution transformer; the fault removal duration calculation comprises the following steps: calculating the time from the beginning of the disturbance of the incoming line electrical quantity to the tripping of the circuit breaker, and judging the accuracy of the action of the circuit breaker by combining the delay fixed value;
and uploading the fault type identification result to a power distribution management background.
2. The method of claim 1, wherein the normal quantity data collection fault type identification includes voltage quality monitoring, load factor monitoring, three-phase load monitoring, power factor monitoring, phase loss monitoring, temperature and humidity monitoring, tower inclination monitoring, and low voltage zero line breakage monitoring.
3. The method of claim 1 or 2, wherein the signal data for each acquisition point is acquired,
when the transient data is acquired, the acquisition frequency is 20 ms/time;
when normal quantity data is collected, the collection frequency is 10 min/time.
4. The fault type identification device based on the intelligent fusion terminal of the platform area is characterized by comprising a data acquisition module, a fault type identification module and an uploading module; wherein,,
the data acquisition module acquires signal data of each acquisition point, wherein the signal data comprises transient state quantity data and normal state quantity data;
the fault type recognition module performs fault type recognition by edge calculation by adopting the recognition method according to any one of claims 1 to 3 based on the collected signal data;
and the uploading module is used for uploading the fault type identification result to a power distribution management background.
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