CN113625096A - Fault positioning and early warning method for power distribution network - Google Patents
Fault positioning and early warning method for power distribution network Download PDFInfo
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- CN113625096A CN113625096A CN202110690610.9A CN202110690610A CN113625096A CN 113625096 A CN113625096 A CN 113625096A CN 202110690610 A CN202110690610 A CN 202110690610A CN 113625096 A CN113625096 A CN 113625096A
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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
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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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- 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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- 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
- G01R31/58—Testing of lines, cables or conductors
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Abstract
The invention discloses a power distribution network fault positioning and early warning method, which comprises the following steps of firstly, analyzing faults; step two, primarily positioning the fault; thirdly, accurately positioning the fault; step four, information transmission; fifthly, fault early warning is carried out; detecting whether a short circuit phenomenon occurs or not through a short circuit monitor, detecting whether a grounding phenomenon occurs or not through a grounding monitor, and detecting current information and voltage information through a current detector and a voltage monitor; the power distribution network fault communication mode adopts one or more of GPRS communication, 3G communication, 4G communication, 5G communication or GSM communication; compared with the existing power distribution network fault positioning mode, the method adopts the matrix algorithm, the particle swarm algorithm and the traveling wave detection analysis to position the power distribution network faults, is convenient for accurately positioning and distinguishing multiple power distribution network faults, and improves the working efficiency of maintenance personnel; and the invention adopts the early warning method of multiple early warnings, improve the security, reduce the possibility of further happening of accident.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a power distribution network fault positioning and early warning method.
Background
The electric power is used as an indispensable energy source in production and life of people, so that certain requirements are met for some power distribution network fault positioning and early warning methods in the market; however, most of the existing power distribution network fault positioning and early warning methods are simple, the power distribution network positioning is not accurate enough, a single fault or multiple faults cannot be accurately judged, the early warning mode is single, and the safety is poor; therefore, the invention of a power distribution network fault positioning and early warning method is very necessary at the present stage.
Disclosure of Invention
The invention aims to provide a power distribution network fault positioning and early warning method to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the method for positioning and early warning the faults of the power distribution network comprises the following steps of firstly, analyzing the faults; step two, primarily positioning the fault; thirdly, accurately positioning the fault; step four, information transmission; fifthly, fault early warning is carried out;
in the first step, the fault analysis includes the following steps:
1) detecting whether a short circuit phenomenon occurs or not through a short circuit monitor;
2) detecting whether a grounding phenomenon occurs or not through a grounding monitor;
3) detecting current information and voltage information by a current detector and a voltage monitor;
in the second step, the preliminary fault location includes the following steps:
1) collecting transient zero-mode current signals uploaded by each feeder switch by using a transient traveling wave detector;
2) filtering the acquired transient zero-mode current signal to eliminate noise;
3) the transient zero-mode current signal after filtering processing is subjected to S conversion to obtain the arrival time of the fault traveling wave first wave head;
4) performing first-order difference processing on corresponding data near the arrival time sampling value obtained by each feeder line to obtain the wave head polarity of each feeder line;
5) comparing the wave head polarity of each feeder line, and selecting a line with the polarity opposite to that of other lines, namely the fault feeder line of the power distribution network;
in the third step, the accurate fault positioning comprises the following steps:
1) if the collected fault current information of each feeder switch is that a single switch uploads the fault current information, the fault information mark of the switch is defined as a single fault, otherwise, the fault information mark of the switch is defined as a multiple fault;
2) then according to fault current information uploaded by a feeder switch, a matrix algorithm is applied to complete fault section positioning, if a certain section has a fault, the section fault is defined as a single fault, otherwise, the section fault is defined as a multiple fault;
3) for multiple faults, fault location is carried out again by adopting a particle swarm algorithm, the fault section location result of the matrix algorithm is split, when the fault section location result of the matrix algorithm shows that N faults occur in the power distribution network, N possible single faults are split together, the N +1 possible fault conditions are determined in total by adding the location result of the matrix algorithm, then the N +1 possible fault conditions are used as part of initial population of the particle swarm algorithm to carry out iterative optimization, and other initial particles of the particle swarm algorithm are generated randomly, so that fault section location of the multiple faults is completed;
in the fourth step, the information transfer includes the following steps:
1) uploading the fault section to a server through a communication device;
2) the server sends a switching-off command to the switches around the fault section to isolate the fault;
3) the server sends fault information to the user terminal in the fault section;
in the fifth step, the fault early warning comprises the following steps:
1) alarming the power distribution network fault according to the power distribution network state obtained by analyzing in the step one;
2) and carrying out environment alarm through the fault state of the power distribution network.
According to the technical scheme, in the first step, data recording and data storage are carried out on each detection result.
According to the technical scheme, in the fourth step, the power distribution network fault communication mode adopts one or more of GPRS communication, 3G communication, 4G communication, 5G communication or GSM communication.
According to the technical scheme, the alarm in the step five 1) comprises a cable temperature alarm, a water immersion alarm and a harmful gas alarm.
According to the technical scheme, the environment alarm in the step five 2) comprises an in-station temperature alarm, an in-station fire alarm, an in-station water immersion alarm and an in-station harmful gas alarm.
Compared with the prior art, the invention has the following beneficial effects: compared with the existing power distribution network fault positioning mode, the method is safe and reliable, and the power distribution network fault is positioned by adopting a matrix algorithm, a particle swarm algorithm and traveling wave detection analysis, so that the multiple power distribution network faults are conveniently and accurately positioned and distinguished, and the working efficiency of maintenance personnel is improved; and the invention adopts the early warning method of multiple early warnings, has improved the security, has reduced the possibility that the accident happens further.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the method for positioning and early warning the faults of the power distribution network comprises the following steps of firstly, analyzing the faults; step two, primarily positioning the fault; thirdly, accurately positioning the fault; step four, information transmission; fifthly, fault early warning is carried out;
in the first step, the fault analysis includes the following steps:
1) detecting whether a short circuit phenomenon occurs or not through a short circuit monitor;
2) detecting whether a grounding phenomenon occurs or not through a grounding monitor;
3) detecting current information and voltage information through a current detector and a voltage monitor, and recording and storing data of each detection result;
in the second step, the preliminary fault location includes the following steps:
1) collecting transient zero-mode current signals uploaded by each feeder switch by using a transient traveling wave detector;
2) filtering the acquired transient zero-mode current signal to eliminate noise;
3) the transient zero-mode current signal after filtering processing is subjected to S conversion to obtain the arrival time of the fault traveling wave first wave head;
4) performing first-order difference processing on corresponding data near the arrival time sampling value obtained by each feeder line to obtain the wave head polarity of each feeder line;
5) comparing the wave head polarity of each feeder line, and selecting a line with the polarity opposite to that of other lines, namely the fault feeder line of the power distribution network;
in the third step, the accurate fault positioning comprises the following steps:
1) if the collected fault current information of each feeder switch is that a single switch uploads the fault current information, the fault information mark of the switch is defined as a single fault, otherwise, the fault information mark of the switch is defined as a multiple fault;
2) then according to fault current information uploaded by a feeder switch, a matrix algorithm is applied to complete fault section positioning, if a certain section has a fault, the section fault is defined as a single fault, otherwise, the section fault is defined as a multiple fault;
3) for multiple faults, fault location is carried out again by adopting a particle swarm algorithm, the fault section location result of the matrix algorithm is split, when the fault section location result of the matrix algorithm shows that N faults occur in the power distribution network, N possible single faults are split together, the N +1 possible fault conditions are determined in total by adding the location result of the matrix algorithm, then the N +1 possible fault conditions are used as part of initial population of the particle swarm algorithm to carry out iterative optimization, and other initial particles of the particle swarm algorithm are generated randomly, so that fault section location of the multiple faults is completed;
in the fourth step, the information transfer includes the following steps:
1) uploading the fault section to a server through a communication device;
2) the server sends a switching-off command to the switches around the fault section to isolate the fault;
3) the server sends fault information to the user terminal in the fault section, and the fault communication mode of the power distribution network adopts one or more of GPRS communication, 3G communication, 4G communication, 5G communication or GSM communication;
in the fifth step, the fault early warning comprises the following steps:
1) alarming the power distribution network fault according to the power distribution network state obtained by analyzing in the first step, wherein the alarming comprises a cable temperature alarm, a water immersion alarm and a harmful gas alarm;
2) and carrying out environment alarm through the fault state of the power distribution network, wherein the environment alarm comprises in-station temperature alarm, in-station fire alarm, in-station water immersion alarm and in-station harmful gas alarm.
Based on the above, the method has the advantages that the method is safe and reliable, compared with the existing power distribution network fault positioning mode, the method adopts the matrix algorithm, the particle swarm algorithm and the traveling wave detection analysis to position the power distribution network faults, so that the multiple power distribution network faults are conveniently and accurately positioned and distinguished, and the working efficiency of maintenance personnel is improved; by adopting various information transmission modes, the information transmission efficiency is improved, and the maintenance personnel can process the information in time and the user can know the information in time; and the invention adopts the early warning method of multiple early warnings, has improved the security, has reduced the possibility that the accident happens further.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The method for positioning and early warning the faults of the power distribution network comprises the following steps of firstly, analyzing the faults; step two, primarily positioning the fault; thirdly, accurately positioning the fault; step four, information transmission; fifthly, fault early warning is carried out; the method is characterized in that:
in the first step, the fault analysis includes the following steps:
1) detecting whether a short circuit phenomenon occurs or not through a short circuit monitor;
2) detecting whether a grounding phenomenon occurs or not through a grounding monitor;
3) detecting current information and voltage information by a current detector and a voltage monitor;
in the second step, the preliminary fault location includes the following steps:
1) collecting transient zero-mode current signals uploaded by each feeder switch by using a transient traveling wave detector;
2) filtering the acquired transient zero-mode current signal to eliminate noise;
3) the transient zero-mode current signal after filtering processing is subjected to S conversion to obtain the arrival time of the fault traveling wave first wave head;
4) performing first-order difference processing on corresponding data near the arrival time sampling value obtained by each feeder line to obtain the wave head polarity of each feeder line;
5) comparing the wave head polarity of each feeder line, and selecting a line with the polarity opposite to that of other lines, namely the fault feeder line of the power distribution network;
in the third step, the accurate fault positioning comprises the following steps:
1) if the collected fault current information of each feeder switch is that a single switch uploads the fault current information, the fault information mark of the switch is defined as a single fault, otherwise, the fault information mark of the switch is defined as a multiple fault;
2) then according to fault current information uploaded by a feeder switch, a matrix algorithm is applied to complete fault section positioning, if a certain section has a fault, the section fault is defined as a single fault, otherwise, the section fault is defined as a multiple fault;
3) for multiple faults, fault location is carried out again by adopting a particle swarm algorithm, the fault section location result of the matrix algorithm is split, when the fault section location result of the matrix algorithm shows that N faults occur in the power distribution network, N possible single faults are split together, the N +1 possible fault conditions are determined in total by adding the location result of the matrix algorithm, then the N +1 possible fault conditions are used as part of initial population of the particle swarm algorithm to carry out iterative optimization, and other initial particles of the particle swarm algorithm are generated randomly, so that fault section location of the multiple faults is completed;
in the fourth step, the information transfer includes the following steps:
1) uploading the fault section to a server through a communication device;
2) the server sends a switching-off command to the switches around the fault section to isolate the fault;
3) the server sends fault information to the user terminal in the fault section;
in the fifth step, the fault early warning comprises the following steps:
1) alarming the power distribution network fault according to the power distribution network state obtained by analyzing in the step one;
2) and carrying out environment alarm through the fault state of the power distribution network.
2. The power distribution network fault locating and early warning method according to claim 1, characterized in that: and in the first step, data recording and data storage are carried out on each detection result.
3. The power distribution network fault locating and early warning method according to claim 1, characterized in that: in the fourth step, the fault communication mode of the power distribution network adopts one or more of GPRS communication, 3G communication, 4G communication, 5G communication or GSM communication.
4. The power distribution network fault locating and early warning method according to claim 1, characterized in that: and the alarms in the step five 1) comprise a cable temperature alarm, a water immersion alarm and a harmful gas alarm.
5. The power distribution network fault locating and early warning method according to claim 1, characterized in that: and in the step five 2), the environment alarm comprises an in-station temperature alarm, an in-station fire alarm, an in-station water immersion alarm and an in-station harmful gas alarm.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102998597A (en) * | 2012-12-28 | 2013-03-27 | 辽宁省电力有限公司沈阳供电公司 | Method for accelerating power distribution network fault tolerance location |
| CN106780138A (en) * | 2016-12-13 | 2017-05-31 | 国网北京市电力公司 | Distribution network failure method for early warning and device |
| CN108957248A (en) * | 2018-10-09 | 2018-12-07 | 国网河南省电力公司洛阳供电公司 | A kind of positioning of power distribution network primary fault and method for early warning |
| CN109142965A (en) * | 2018-06-29 | 2019-01-04 | 马瑞 | A kind of big data fusion distribution network failure is accurately positioned new method and its device |
| CN112733430A (en) * | 2020-12-21 | 2021-04-30 | 国网安徽省电力有限公司宿州供电公司 | Intelligent line selection and section positioning method and device for power distribution network fault |
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- 2021-06-22 CN CN202110690610.9A patent/CN113625096A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102998597A (en) * | 2012-12-28 | 2013-03-27 | 辽宁省电力有限公司沈阳供电公司 | Method for accelerating power distribution network fault tolerance location |
| CN106780138A (en) * | 2016-12-13 | 2017-05-31 | 国网北京市电力公司 | Distribution network failure method for early warning and device |
| CN109142965A (en) * | 2018-06-29 | 2019-01-04 | 马瑞 | A kind of big data fusion distribution network failure is accurately positioned new method and its device |
| CN108957248A (en) * | 2018-10-09 | 2018-12-07 | 国网河南省电力公司洛阳供电公司 | A kind of positioning of power distribution network primary fault and method for early warning |
| CN112733430A (en) * | 2020-12-21 | 2021-04-30 | 国网安徽省电力有限公司宿州供电公司 | Intelligent line selection and section positioning method and device for power distribution network fault |
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