CN111062825A - Low-voltage fault diagnosis and rapid power restoration method based on mobile App - Google Patents

Low-voltage fault diagnosis and rapid power restoration method based on mobile App Download PDF

Info

Publication number
CN111062825A
CN111062825A CN201910995511.4A CN201910995511A CN111062825A CN 111062825 A CN111062825 A CN 111062825A CN 201910995511 A CN201910995511 A CN 201910995511A CN 111062825 A CN111062825 A CN 111062825A
Authority
CN
China
Prior art keywords
low
voltage
fault
power failure
emergency repair
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910995511.4A
Other languages
Chinese (zh)
Inventor
朱皓
游牧童
范红光
张永超
吕正品
陈忠雷
杨凯利
方明利
赵圆圆
邓冠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guizhou Power Grid Co Ltd
Original Assignee
Guizhou Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guizhou Power Grid Co Ltd filed Critical Guizhou Power Grid Co Ltd
Priority to CN201910995511.4A priority Critical patent/CN111062825A/en
Publication of CN111062825A publication Critical patent/CN111062825A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a low-voltage fault diagnosis and rapid power restoration method based on a mobile App, which comprises the steps of extending distribution network fault diagnosis and judgment to a low-voltage transformer area, utilizing a transformer area data concentrator of a low-voltage centralized meter reading system, a centralized meter reading system and a data acquisition network of a low-voltage intelligent electric meter to carry out high-frequency data acquisition on the intelligent electric meter, and judging the tripping state of a low-voltage switch, so that low-voltage state monitoring and active low-voltage fault judgment are realized. By adopting the method, the low-voltage fault can be actively discovered, the first-aid repair work order can be actively generated, the first-aid repair progress of the customer can be actively pushed, and the lean first-aid repair management and the high-efficiency customer maintenance can be realized.

Description

Low-voltage fault diagnosis and rapid power restoration method based on mobile App
Technical Field
The invention relates to the technical field of power line repair, in particular to a low-voltage fault diagnosis and quick power restoration method based on a mobile App.
Background
Distribution network fault rush-repair is taken as the important work of distribution production regularity, has all-weather fault response, is directly faced with users, has various fault conditions, is complex in operation environment and the like, and how to arrange the overhaul rapidly reduces the power failure loss to the minimum, effectively ensures the power utilization safety and the power supply reliability, which is the important work of power supply enterprises. At present, distribution network emergency repair still stops at a manual positioning fault point, a customer repair point and content are difficult to judge quickly, emergency repair resources are not scientifically and reasonably utilized, an emergency repair team of the fastest emergency repair stop point cannot be arranged to carry out fault emergency repair, and the starting of an emergency repair vehicle and the on-site emergency repair process of the on-site emergency repair vehicle cannot be tracked in real time, so that the fault emergency repair processing efficiency is influenced, and the power supply service level of an enterprise is reduced.
Fault diagnosis and location oriented to medium-voltage distribution lines is always the hot field of distribution automation, and from a voltage-time type intelligent switch, a current type main station centralized distribution automation system and a fault distance measurement system more than ten years ago to a low-current grounding fault monitoring system based on grounding transient recording, which is mainly used for the current customs of a national power grid, various devices and methods such as a bamboo shoot layer in spring after rain are endless.
However, for the vast low-voltage distribution network, the low-voltage fault real-time monitoring and studying and judging technology is always in the test stage. On one hand, low-voltage faults are far more than medium-voltage faults, and on the other hand, from the cost point of view, the low-voltage distribution network cannot be provided with a large number of acquisition terminals on a switch like the medium-voltage distribution network.
In the coming years, the power grid industry can comprehensively popularize the remote acquisition of the low-voltage user intelligent electric meter based on centralized meter reading, and can acquire the voltage, current and load data of the low-voltage user at a certain time interval. Therefore, the low-voltage fault real-time diagnosis and judgment can be realized by optimizing and improving the acquisition frequency of the meter reading acquisition system.
Disclosure of Invention
In view of the above, the present invention aims to provide a low-voltage fault diagnosis and fast power restoration method based on a mobile App. The problem of low-voltage fault real-time diagnosis and study can be solved.
The purpose of the invention is realized by the following technical scheme:
the invention discloses a low-voltage fault diagnosis and rapid power restoration method based on a mobile App, which comprises the following steps:
step S1: selecting a low-voltage meter for each low-voltage line of distribution transformer power supply to acquire high-frequency data at a minute level by using an acquisition channel of a low-voltage meter reading system;
step S2: detecting meter power failure according to meter communication failure information, and researching and judging a low-voltage trip switch by combining a GIS low-voltage circuit diagram model;
step S3: the comprehensive study and judgment of the medium and low voltage faults are carried out according to the medium and low voltage topology of the GIS by combining the graphical scheduling instruction ticket application and the graphical fault scheduling log application of the urban and rural intelligent power distribution network auxiliary decision system and combining the fault report work order;
step S4: the specific power failure area and the specific power failure equipment are determined, a work order is sent to the intelligent terminal equipment of the related personnel, the specific emergency repair information is displayed through the pre-installed APP, and emergency repair work is carried out.
In particular, in step S3, a low-voltage fault repair order is generated by screening the repair order sent by the centralized meter reading system, analyzing the cause of the power failure, merging the failure reports, and performing fault pre-analysis, such as repeated failure reporting, on the power failure pool information formed by the planned power failure and fault power failure modules.
In particular, said APP comprises the functions of: the method comprises the following steps of automatic receiving and displaying of a low-voltage fault work order, reporting of emergency repair progress, positioning of fault equipment, registering of reasons and field image return.
In particular, in step S4, the system automatically recommends the optimal emergency repair team according to the failure reporting position, the emergency repair team position, the real-time traffic road condition, and the team emergency repair workload.
The invention has the beneficial effects that: by adopting the method, the low-voltage fault can be actively discovered, the first-aid repair work order can be actively generated, the first-aid repair progress of the customer can be actively pushed, and the lean first-aid repair management and the high-efficiency customer maintenance can be realized.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof.
Drawings
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic diagram of low voltage fault diagnosis;
FIG. 3 is a diagram illustrating an effect of an intelligent dispatch aid decision.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
The invention discloses a low-voltage fault diagnosis and rapid power restoration method based on a mobile App, which comprises the following steps as shown in figure 1:
step S1: selecting a low-voltage meter for each low-voltage line of distribution transformer power supply to acquire high-frequency data at a minute level by using an acquisition channel of a low-voltage meter reading system; in the current practical application, because the bandwidth and the flow of a wireless network from a station area data concentrator to a centralized reading background master station are limited, a large amount of real-time data cannot be uploaded to the background master station, a software system of the station area data concentrator below a distribution transformer is expanded, and according to a sampling acquisition rule downloaded by the master station, a few representative low-voltage meters are selected on each switch branch to carry out minute-level acquisition;
step S2: detecting meter power failure according to meter communication failure information, and researching and judging a low-voltage trip switch by combining a GIS low-voltage circuit diagram model;
as shown in fig. 2, fig. 2 is a schematic diagram of low-voltage fault analysis, which detects communication interruption signals of typical user meters according to high-frequency data acquisition of the meters in boxes I and II, and further determines switch tripping according to a low-voltage topology of the GIS.
The logic of the active study is: if a switch locks a typical user meter to be kept on, and data cannot be received at the same time, the switch is traced back to power failure. As shown, if box I represents data, decision 412 has power, and if box II has no data, decision 415 has power off.
Step S3: the comprehensive study and judgment of the medium and low voltage faults are carried out according to the medium and low voltage topology of the GIS by combining the graphical scheduling instruction ticket application and the graphical fault scheduling log application of the urban and rural intelligent power distribution network auxiliary decision system and combining the fault report work order; in the embodiment, the low-voltage fault emergency repair order is generated by screening the emergency repair work orders through the power failure pool information formed by the planned power failure and fault power failure modules and the transmitted emergency repair work orders from the centralized meter reading system, analyzing the power failure reasons, combining fault pre-analysis such as repeated fault reporting and the like.
Step S4: the specific power failure area and the specific power failure equipment are determined, a work order is sent to the intelligent terminal equipment of the related personnel, the specific emergency repair information is displayed through the pre-installed APP, and emergency repair work is carried out. In this embodiment, as shown in fig. 3, the system can automatically recommend an optimal emergency repair team according to the failure reporting position, the emergency repair team position, the real-time traffic road condition, and the team emergency repair workload.
As an APP pre-installed in an intelligent terminal device (including a smart phone, a tablet, etc.), the functions it includes are mainly: the method comprises the following steps of automatic receiving and displaying of a low-voltage fault work order, reporting of emergency repair progress, positioning of fault equipment, registering of reasons and field image return. Through this APP, can in time receive the trouble work order that higher level transmitted, can also realize on-the-spot condition simultaneously and upload and report.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.

Claims (4)

1. Low-voltage fault diagnosis and quick power restoration method based on mobile App is characterized in that: the method comprises the following steps:
step S1: selecting a low-voltage meter for each low-voltage line of distribution transformer power supply to acquire high-frequency data at a minute level by using an acquisition channel of a low-voltage meter reading system;
step S2: detecting meter power failure according to meter communication failure information, and researching and judging a low-voltage trip switch by combining a GIS low-voltage circuit diagram model;
step S3: the comprehensive study and judgment of the medium and low voltage faults are carried out according to the medium and low voltage topology of the GIS by combining the graphical scheduling instruction ticket application and the graphical fault scheduling log application of the urban and rural intelligent power distribution network auxiliary decision system and combining the fault report work order;
step S4: the specific power failure area and the specific power failure equipment are determined, a work order is sent to the intelligent terminal equipment of the related personnel, the specific emergency repair information is displayed through the pre-installed APP, and emergency repair work is carried out.
2. The mobile App-based low-voltage fault diagnosis and rapid power restoration method according to claim 1, characterized in that: in step S3, a low-voltage fault repair order is generated by screening repair order information, analyzing power failure causes, merging, and performing fault pre-analysis such as repeated fault reporting, through power failure pool information formed by the planned power failure and fault power failure modules and the collected sheets sent by the meter reading system.
3. The mobile App based low voltage fault diagnosis and fast power restoration method according to claim 1 or 2, characterized in that: the APP comprises the functions of: the method comprises the following steps of automatic receiving and displaying of a low-voltage fault work order, reporting of emergency repair progress, positioning of fault equipment, registering of reasons and field image return.
4. The mobile App-based low-voltage fault diagnosis and rapid power restoration method according to claim 3, characterized in that: in the step S4, the system automatically recommends the optimal emergency repair team according to the failure reporting position, the emergency repair team position, the real-time traffic road condition, and the team emergency repair workload.
CN201910995511.4A 2019-10-18 2019-10-18 Low-voltage fault diagnosis and rapid power restoration method based on mobile App Pending CN111062825A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910995511.4A CN111062825A (en) 2019-10-18 2019-10-18 Low-voltage fault diagnosis and rapid power restoration method based on mobile App

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910995511.4A CN111062825A (en) 2019-10-18 2019-10-18 Low-voltage fault diagnosis and rapid power restoration method based on mobile App

Publications (1)

Publication Number Publication Date
CN111062825A true CN111062825A (en) 2020-04-24

Family

ID=70297590

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910995511.4A Pending CN111062825A (en) 2019-10-18 2019-10-18 Low-voltage fault diagnosis and rapid power restoration method based on mobile App

Country Status (1)

Country Link
CN (1) CN111062825A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112198379A (en) * 2020-09-14 2021-01-08 江阴长仪集团有限公司 Low-voltage electric equipment fault positioning system based on electric energy metering technology
CN114243682A (en) * 2021-11-19 2022-03-25 国电南京自动化股份有限公司 Multi-source information-based intelligent power restoration research and judgment method and system for power distribution network

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103034932A (en) * 2012-12-28 2013-04-10 宁波电业局 Multifunctional integrated power failure management system
CN110289682A (en) * 2019-06-11 2019-09-27 广西电网有限责任公司南宁供电局 A kind of distribution repairing aid decision and intelligent managing and control system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103034932A (en) * 2012-12-28 2013-04-10 宁波电业局 Multifunctional integrated power failure management system
CN110289682A (en) * 2019-06-11 2019-09-27 广西电网有限责任公司南宁供电局 A kind of distribution repairing aid decision and intelligent managing and control system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
余尔汶: "基于GIS平台的配电网应急抢修系统", 《供用电》 *
吴召华: "基于GIS的配电网新型抢修平台的研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *
邱志辉 等: "基于HPLC通信模块的智能电表深化应用研究", 《江西电力》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112198379A (en) * 2020-09-14 2021-01-08 江阴长仪集团有限公司 Low-voltage electric equipment fault positioning system based on electric energy metering technology
CN112198379B (en) * 2020-09-14 2022-11-01 江阴长仪集团有限公司 Low-voltage electric equipment fault positioning system based on electric energy metering technology
CN114243682A (en) * 2021-11-19 2022-03-25 国电南京自动化股份有限公司 Multi-source information-based intelligent power restoration research and judgment method and system for power distribution network
CN114243682B (en) * 2021-11-19 2023-09-19 国电南京自动化股份有限公司 Intelligent power distribution network duplicate power research and judgment method and system based on multi-source information

Similar Documents

Publication Publication Date Title
CN108765187B (en) Power failure fault auxiliary study and judgment method, device and system
CN106990328B (en) Distribution network emergency repair abnormal data analysis and fault positioning system and method
CN106980071B (en) Visual first-aid repair system based on power grid GIS and working method thereof
CN106872856B (en) Power distribution network fault active first-aid repair system and method based on multi-element fault collection
CN105915398B (en) Rural power grid fault based rapid detection and power restoration system and concentrator detection method thereof
CN102427277B (en) Area intelligent power distribution network system
CN107167704B (en) Power distribution network fault diagnosis system and method based on CIM model
CN105427039A (en) Efficient processing method of distribution network repair work orders based on responsibility areas
CN106814286B (en) Power distribution network fault positioning system, method and server based on multi-element fault acquisition
CN109871965A (en) A kind of breakdown repair App platform of combination GIS and power customer fault location information
CN112701790B (en) Intelligent joint debugging platform and joint debugging method for transformer substation and master station
CN103683511A (en) Method and system for processing fault of integrated monitoring platform based on power distribution network
CN103761625A (en) Outage management system based on information exchange bus and data processing method thereof
CN109949178B (en) Method for judging and complementing power failure event of medium-voltage distribution network based on support vector machine
CN107543989B (en) Method for judging line loss abnormity based on voltage loss and phase loss of electric energy meter
CN101409008A (en) Integrated system for monitor, management and remotely meter-reading of power distribution network
CN112132443A (en) Reliability distribution network power supply management and control system
CN113722311A (en) Power distribution network power failure range positioning method, system, equipment and medium
CN111062825A (en) Low-voltage fault diagnosis and rapid power restoration method based on mobile App
CN110412421B (en) Method and system for intelligently analyzing and positioning faults
CN105117984A (en) Data analysis-based power grid lean management system
CN108695974B (en) Method for judging power failure of 10 KV line trunk line
CN204906004U (en) Distributed intelligent regional power grid of network layering
CN113902583A (en) Distribution network side operation and maintenance method and system using low-voltage network equipment data
CN108933482A (en) Distribution power automation terminal equipment off-line analysis of causes method based on wireless network signal strength big data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200424

RJ01 Rejection of invention patent application after publication