CN110824296A - Power distribution network non-outage operation detection method - Google Patents
Power distribution network non-outage operation detection method Download PDFInfo
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- CN110824296A CN110824296A CN201911120162.8A CN201911120162A CN110824296A CN 110824296 A CN110824296 A CN 110824296A CN 201911120162 A CN201911120162 A CN 201911120162A CN 110824296 A CN110824296 A CN 110824296A
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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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- 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 power distribution network non-outage operation detection method, and belongs to the technical field of power distribution. The invention comprises the following steps: a temperature detection module, an electric field intensity detection module, a humidity detection module and a particle detection module are arranged in each power distribution network operation detection area; setting temperature acquisition interval time values, electric field strength acquisition interval time values, humidity acquisition interval time values and particle acquisition interval time values in the operation and detection areas of the power distribution networks; setting a temperature interval threshold, an electric field intensity interval threshold, a humidity interval threshold and a particle interval threshold in each power distribution network operation detection area; and judging that the distribution lines in the corresponding power distribution network operation detection sub-area have faults. The invention can accurately determine the fault condition of the power distribution network under the condition of no power failure by detecting the temperature, the electric field intensity, the humidity and the particle concentration in the power distribution network and analyzing and processing the temperature, the electric field intensity, the humidity and the particle concentration, has the characteristics of high detection efficiency and high accuracy, and is suitable for popularization and application.
Description
Technical Field
The invention belongs to the technical field of power distribution, and particularly relates to a power distribution network non-outage operation detection method.
Background
With the rapid development of science and technology and economy, the demand of the society for electric power increases rapidly, however, with the continuous development of the cabling process of the power distribution network, the line structure of the power distribution network is more and more complex, branch lines are more and more, the requirements on the stability and reliability of the power supply performance of the power distribution network are higher and higher, and the requirements of users on the power utilization quality and service are also continuously improved.
At present, the mode of manual investigation is adopted to the maintenance mode of distribution lines more, need dispose a large amount of circuit patrols and investigation personnel to the cable laying position is various at present, and it is big directly to its fortune inspection degree of difficulty, and to the distribution network in service, often adopt the mode of troubleshooting moreover, only when equipment takes place unusually, maintain and restore corresponding part. When a fault occurs, the rush-repair time is long, the power failure time is prolonged, and the network structure of the power distribution network enables the upper-layer power distribution point to have the fault and the power failure to cause the whole breakdown of the lower-layer power utilization equipment, so that the user experience is reduced. Therefore, in the process of operation and detection of the power distribution network in the prior art, the operation and detection time is long, the efficiency is low, the power failure time is long, and the operation and detection process of the power distribution network is not timely and effective. Therefore, it is necessary to research a power distribution network non-outage operation detection method so as to solve the technical problems.
Disclosure of Invention
The invention provides a power distribution network non-outage operation detection method, and aims to solve the problems in the background technology.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a power distribution network non-outage operation detection method, which comprises the following steps:
the method comprises the following steps that firstly, the distribution network is divided into a plurality of distribution network operation detection subareas;
step two, arranging a temperature detection module, an electric field intensity detection module, a humidity detection module and a particle detection module in each distribution network operation detection area;
setting temperature acquisition interval time values, electric field intensity acquisition interval time values, humidity acquisition interval time values and particle acquisition interval time values in the operation and detection areas of the power distribution networks;
setting a temperature interval threshold, an electric field intensity interval threshold, a humidity interval threshold and a particle interval threshold in each power distribution network operation detector area;
step five, taking a difference value of two adjacent detected temperature values, taking a difference value of two adjacent electric field strength values, taking a difference value of two adjacent humidity values and taking a difference value of two adjacent particle values;
step six, comparing the obtained temperature difference value, electric field intensity difference value, humidity difference value and particle difference value with the temperature interval threshold value, electric field intensity interval threshold value, humidity interval threshold value and particle interval threshold value in the step two respectively;
after comparison, if at least three difference values are larger than the corresponding interval threshold values, the distribution lines in the corresponding power distribution network operation detection region are considered to have faults; otherwise, the distribution lines in the corresponding power distribution network operation detection sub-area have no fault;
and step eight, accumulating the temperature comparison data, the electric field intensity comparison data, the humidity comparison data and the particle comparison data in the operation and detection areas of the power distribution networks to obtain an operation and detection comprehensive report of the power distribution networks.
Further, in the second step, the temperature detection module is a temperature sensor and is used for collecting the temperature in the power distribution network operation detection area; the electric field intensity detection module is an electric field intensity sensor and is used for detecting the electric field intensity in the power distribution network operation detection area; the humidity detection module is a humidity sensor and is used for detecting the humidity in the power distribution network operation detection area; the particle detection module is an air particle sensor and is used for detecting the particle concentration in the operation detection area of the power distribution network.
Further, in the third step, the temperature collection interval time value, the electric field strength collection interval time value, the humidity collection interval time value and the particle collection interval time value in each power distribution network operation and detection area are all within the range of 5-10s, and the temperature collection interval time value, the electric field strength collection interval time value, the humidity collection interval time value and the particle collection interval time value in the same power distribution network operation and detection area are all the same.
Further, in the seventh step, if two differences are larger than the corresponding interval threshold after comparison, the corresponding power distribution network operation detection sub-areas are listed in a key observation list.
The invention has the following beneficial effects:
the invention can accurately determine the fault condition of the power distribution network under the condition of no power failure by detecting the temperature, the electric field intensity, the humidity and the particle concentration in the power distribution network and analyzing and processing the temperature, the electric field intensity, the humidity and the particle concentration, has the characteristics of high detection efficiency and high accuracy, and is suitable for popularization and application.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all 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.
The invention relates to a power distribution network non-outage operation detection method, which comprises the following steps:
the method comprises the following steps that firstly, the distribution network is divided into a plurality of distribution network operation detection subareas;
step two, arranging a temperature detection module, an electric field intensity detection module, a humidity detection module and a particle detection module in each distribution network operation detection area;
the temperature detection module is a temperature sensor and is used for collecting the temperature in the power distribution network operation detection area; the electric field intensity detection module is an electric field intensity sensor and is used for detecting the electric field intensity in the power distribution network operation detection area; the humidity detection module is a humidity sensor and is used for detecting the humidity in the power distribution network operation detection area; the particle detection module is an air particle sensor and is used for detecting the particle concentration in the operation detection area of the power distribution network;
setting temperature acquisition interval time values, electric field intensity acquisition interval time values, humidity acquisition interval time values and particle acquisition interval time values in the operation and detection areas of the power distribution networks;
the temperature acquisition interval time value, the electric field strength acquisition interval time value, the humidity acquisition interval time value and the particle acquisition interval time value in each power distribution network operation and detection area are all within the range of 5-10s, and the temperature acquisition interval time value, the electric field strength acquisition interval time value, the humidity acquisition interval time value and the particle acquisition interval time value in the same power distribution network operation and detection area are all the same;
setting a temperature interval threshold, an electric field intensity interval threshold, a humidity interval threshold and a particle interval threshold in each power distribution network operation detector area;
step five, taking a difference value of two adjacent detected temperature values, taking a difference value of two adjacent electric field strength values, taking a difference value of two adjacent humidity values and taking a difference value of two adjacent particle values;
step six, comparing the obtained temperature difference value, electric field intensity difference value, humidity difference value and particle difference value with the temperature interval threshold value, electric field intensity interval threshold value, humidity interval threshold value and particle interval threshold value in the step two respectively;
after comparison, if at least three difference values are larger than the corresponding interval threshold values, the distribution lines in the corresponding power distribution network operation detection region are considered to have faults; otherwise, the distribution lines in the corresponding power distribution network operation detection sub-area have no fault;
after comparison, if two difference values are larger than the corresponding interval threshold value, the corresponding power distribution network operation detection sub-areas are listed in a key observation list;
and step eight, accumulating the temperature comparison data, the electric field intensity comparison data, the humidity comparison data and the particle comparison data in the operation and detection areas of the power distribution networks to obtain an operation and detection comprehensive report of the power distribution networks.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. A power distribution network non-outage operation detection method is characterized by comprising the following steps:
the method comprises the following steps that firstly, the distribution network is divided into a plurality of distribution network operation detection subareas;
step two, arranging a temperature detection module, an electric field intensity detection module, a humidity detection module and a particle detection module in each distribution network operation detection area;
setting temperature acquisition interval time values, electric field intensity acquisition interval time values, humidity acquisition interval time values and particle acquisition interval time values in the operation and detection areas of the power distribution networks;
setting a temperature interval threshold, an electric field intensity interval threshold, a humidity interval threshold and a particle interval threshold in each power distribution network operation detector area;
step five, taking a difference value of two adjacent detected temperature values, taking a difference value of two adjacent electric field strength values, taking a difference value of two adjacent humidity values and taking a difference value of two adjacent particle values;
step six, comparing the obtained temperature difference value, electric field intensity difference value, humidity difference value and particle difference value with the temperature interval threshold value, electric field intensity interval threshold value, humidity interval threshold value and particle interval threshold value in the step two respectively;
after comparison, if at least three difference values are larger than the corresponding interval threshold values, the distribution lines in the corresponding power distribution network operation detection region are considered to have faults; otherwise, the distribution lines in the corresponding power distribution network operation detection sub-area have no fault;
and step eight, accumulating the temperature comparison data, the electric field intensity comparison data, the humidity comparison data and the particle comparison data in the operation and detection areas of the power distribution networks to obtain an operation and detection comprehensive report of the power distribution networks.
2. The non-outage operation detection method for the power distribution network according to claim 1, wherein in the second step, the temperature detection module is a temperature sensor and is used for collecting the temperature in the operation detection area of the power distribution network; the electric field intensity detection module is an electric field intensity sensor and is used for detecting the electric field intensity in the power distribution network operation detection area; the humidity detection module is a humidity sensor and is used for detecting the humidity in the power distribution network operation detection area; the particle detection module is an air particle sensor and is used for detecting the particle concentration in the operation detection area of the power distribution network.
3. The non-outage operation detection method for the power distribution network according to claim 1 or 2, characterized in that in the third step, the temperature collection interval time value, the electric field strength collection interval time value, the humidity collection interval time value and the particle collection interval time value in each power distribution network operation detection area are all in the range of 5-10s, and the temperature collection interval time value, the electric field strength collection interval time value, the humidity collection interval time value and the particle collection interval time value in the same power distribution network operation detection area are all the same.
4. The power distribution network non-outage operation detection method according to claim 1, wherein in the seventh step, if two differences are larger than the corresponding interval threshold after comparison, the corresponding power distribution network operation detection sub-areas are listed in a key observation list.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1558249A (en) * | 2004-01-20 | 2004-12-29 | 华北电力大学 | Charged detection method for insulator of high voltage direct current transmission line |
| CN103048587A (en) * | 2012-12-12 | 2013-04-17 | 深圳供电局有限公司 | Fault positioning method, device and system for power distribution network with distributed power supply |
| CN106443324A (en) * | 2016-08-31 | 2017-02-22 | 国网山东省电力公司菏泽供电公司 | Method for monitoring state of power distribution network |
| CN106849356A (en) * | 2017-02-14 | 2017-06-13 | 国网新疆电力公司伊犁供电公司 | Distribution Network Load Data unusual fluctuation alarm method |
| CN107390049A (en) * | 2017-06-23 | 2017-11-24 | 深圳市盛路物联通讯技术有限公司 | A kind of power cable fault monitoring method and device |
| CN108387822A (en) * | 2018-04-23 | 2018-08-10 | 广东电网有限责任公司 | Distribution lines running state monitoring device |
-
2019
- 2019-11-15 CN CN201911120162.8A patent/CN110824296A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1558249A (en) * | 2004-01-20 | 2004-12-29 | 华北电力大学 | Charged detection method for insulator of high voltage direct current transmission line |
| CN103048587A (en) * | 2012-12-12 | 2013-04-17 | 深圳供电局有限公司 | Fault positioning method, device and system for power distribution network with distributed power supply |
| CN106443324A (en) * | 2016-08-31 | 2017-02-22 | 国网山东省电力公司菏泽供电公司 | Method for monitoring state of power distribution network |
| CN106849356A (en) * | 2017-02-14 | 2017-06-13 | 国网新疆电力公司伊犁供电公司 | Distribution Network Load Data unusual fluctuation alarm method |
| CN107390049A (en) * | 2017-06-23 | 2017-11-24 | 深圳市盛路物联通讯技术有限公司 | A kind of power cable fault monitoring method and device |
| CN108387822A (en) * | 2018-04-23 | 2018-08-10 | 广东电网有限责任公司 | Distribution lines running state monitoring device |
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