CN110739774A - Internet of things system of low-voltage distribution network - Google Patents

Internet of things system of low-voltage distribution network Download PDF

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Publication number
CN110739774A
CN110739774A CN201911137068.3A CN201911137068A CN110739774A CN 110739774 A CN110739774 A CN 110739774A CN 201911137068 A CN201911137068 A CN 201911137068A CN 110739774 A CN110739774 A CN 110739774A
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network
concentrator
acquisition
topology information
intelligent
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CN201911137068.3A
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CN110739774B (en
Inventor
虞跃
许竞
孙凌晨
齐鹏
袁艺
秦川
李奔
李俊廷
曹俊岭
李博强
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Qinhuangdao Power Supply Co of State Grid Jibei Electric Power Co Ltd
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Qinhuangdao Power Supply Co of State Grid Jibei Electric Power Co Ltd
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    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20Smart grids as enabling technology in buildings sector
    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/128Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol

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  • Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention provides an Internet of things system of a low-voltage power distribution network, which comprises an intelligent distribution transformer terminal, a concentrator, an acquisition main station and a plurality of intelligent electric meters, wherein the intelligent distribution transformer terminal is respectively connected with the concentrator and the acquisition main station, the concentrator is connected with the intelligent electric meters, a carrier module is arranged in the concentrator, and a second carrier module is arranged in the intelligent electric meters, wherein the concentrator is used for acquiring dynamic network topology information of a carrier communication network, the intelligent distribution transformer terminal is used for receiving and transmitting the dynamic network topology information to the acquisition main station, and the acquisition main station is used for determining the current communication quality condition of a network communication node according to the dynamic network topology information.

Description

Internet of things system of low-voltage distribution network
Technical Field
The invention relates to the technical field of low-voltage distribution networks, in particular to an internet of things system of low-voltage distribution networks.
Background
The ubiquitous power internet of things is novel power network operation forms generated by deep fusion of the traditional industrial technology and a new generation information communication technology represented by the internet of things.
The low-voltage distribution network is used as the power supply service 'the last kilometers', the power supply service of a user is directly born, the operation management level of the low-voltage distribution network directly influences the power supply quality of the user, and three major challenges, namely, backward automation degree of the low-voltage distribution network, fast change of management requirements, large scale of management equipment and high service requirements, are faced for a long time.
Disclosure of Invention
The invention aims to at least solve technical problems in the prior art and provides Internet of things systems of low-voltage power distribution networks.
The invention provides an Internet of things system of a low-voltage distribution network, which comprises an intelligent distribution transformer terminal, a concentrator, an acquisition main station and a plurality of intelligent electric meters, wherein the intelligent distribution transformer terminal is respectively connected with the concentrator and the acquisition main station, the concentrator is connected with the intelligent electric meters, a th carrier module is arranged in the concentrator, and a second carrier module is arranged in the intelligent electric meters;
the concentrator is used for acquiring dynamic network topology information of the carrier communication network;
the intelligent distribution transformer terminal is used for receiving and transmitting the dynamic network topology information to the acquisition master station;
and the acquisition master station is used for determining the current communication quality condition of the network communication node according to the dynamic network topology information.
Optionally, the acquisition master station comprises a storage unit and a comparison unit, wherein,
the storage unit is used for pre-storing channel characteristic threshold values representing different channel quality grades;
and the comparison unit is used for extracting a current channel characteristic value representing the current communication quality state according to the dynamic network topology information, comparing the current channel characteristic value with the channel characteristic threshold value, and determining the current channel quality grade of the network communication node according to the comparison result.
Optionally, the collection master station is further configured to identify a phase of each smart meter according to the dynamic network topology information.
Optionally, the acquisition master station is specifically configured to:
extracting a power line network corresponding to each intelligent electric meter according to the dynamic network topology information;
and identifying the phase of each intelligent electric meter according to the power line power frequency cycle and the zero crossing point moment of each power line network.
Optionally, the acquisition master station is further configured to identify the station area affiliation according to the dynamic network topology information.
Optionally, the acquisition master station is specifically configured to:
identifying carrier signals and neighbor network crosstalk signals of each distribution area according to the dynamic network topology information;
and identifying the affiliation of the station according to the carrier signals and the neighbor network crosstalk signals.
Optionally, the acquisition master station is further configured to:
determining actual intelligent electric meter information in the current network according to the dynamic network topology information;
and matching the actual intelligent electric meter information with a prestored electricity utilization information acquisition system file, automatically filing unmatched actual intelligent electric meter information, and updating the electricity utilization information acquisition system file.
Optionally, the distribution transformer intelligent terminal is connected with the concentrator by using an RS-485 network, and interacts by using an 1376.1 protocol.
Optionally, the concentrator is connected to the smart meter by using of a PLC, a micro-power wireless network and a 485 network.
Optionally, the intelligent distribution transformer terminal is connected with the power distribution main station by a 4G wireless network and interacts with the power distribution main station by an IEC104 protocol.
The Internet of things system of the low-voltage power distribution network comprises an intelligent distribution and transformation terminal, a concentrator, an acquisition main station and a plurality of intelligent electric meters, wherein the intelligent distribution and transformation terminal is respectively connected with the concentrator and the acquisition main station, the concentrator is connected with the intelligent electric meters, an th carrier module is arranged in the concentrator, a second carrier module is arranged in the intelligent electric meters, the concentrator is used for acquiring dynamic network topology information of a carrier communication network, the intelligent distribution and transformation terminal is used for receiving and transmitting the dynamic network topology information to the acquisition main station, and the acquisition main station is used for determining the current communication quality condition of a network communication node according to the dynamic network topology information.
Drawings
Fig. 1 is a schematic structural diagram of an internet of things system of a low-voltage distribution network in an th embodiment of the invention;
fig. 2 is a schematic structural diagram of an internet of things system of a low-voltage distribution network in a second embodiment of the invention;
fig. 3 is a schematic structural diagram of an internet of things system of a low-voltage distribution network in a third embodiment of the invention.
Detailed Description
In order to make the technical solution of the present invention better understood, the present invention is further described in detail with reference to the accompanying drawings and the detailed description.
As shown in fig. 1 and fig. 2, the internet of things system of low-voltage power distribution networks provided by the invention includes an intelligent distribution and transformation terminal 110, a concentrator 120, an acquisition master station 130, and a plurality of intelligent electric meters 140, where the intelligent distribution and transformation terminal 110 is respectively connected to the concentrator 120 and the acquisition master station 130, the concentrator 120 is connected to the intelligent electric meters 140, a th carrier module 121 is disposed in the concentrator 120, and a second carrier module 122 is disposed in the intelligent electric meters 140, the concentrator 120 is configured to acquire dynamic network topology information of a carrier communication network, the intelligent distribution and transformation terminal 110 is configured to receive and transmit the dynamic network topology information to the acquisition master station 130, and the acquisition master station 130 is configured to determine a current communication quality status of a network communication node according to the dynamic network topology information.
The internet of things system of the low-voltage distribution network of the embodiment utilizes the smart electric meter technology, the data interaction technology and the communication technology to acquire information such as voltage, current, active power, electric energy indication value and meter number ID measured by the smart electric meter. And then, an information interaction function of the distribution transformer terminal and the intelligent electric meter is realized by adopting an LINUX technology and a container technology.
Specifically, the distribution transformer intelligent terminal 110 is connected with the concentrator 120 by an RS-485 network and interacts with the concentrator by an 1376.1 protocol, the concentrator 120 can adopt an I-type concentrator, the concentrator 120 is connected with the intelligent electric meter 140 by of a PLC, a micro-power wireless network and a 485 network, and the intelligent distribution transformer terminal 110 is connected with the acquisition master station 130 by a 4G wireless network and interacts with an IEC104 protocol.
In the internet of things system of the low-voltage distribution network, the system for collecting the intelligent electric meters by the I-type concentrator is a component of an original remote meter reading system, so that equipment does not need to be added, and the system is reliable in operation. Because the intelligent distribution transformer terminal only collects the data of the electric energy meter in the I-type concentrator and does not modify the data of the concentrator, potential safety hazards to the concentrator are avoided, and the encryption work of the master station side in the intelligent distribution transformer terminal is not needed. And the arrangement of new equipment can be reduced to the maximum extent, the equipment cost and the construction cost are saved, and the method is safe and reliable. In addition, the communication quality condition of the network communication node can be analyzed and determined based on the information interaction between the intelligent distribution transformer terminal and the intelligent electric meter.
In alternative embodiments, as shown in fig. 3, the acquisition master station 130 includes a storage unit 131 and a comparison unit 132, wherein,
the storage unit 131 is configured to store channel characteristic thresholds representing different channel quality levels in advance;
the comparing unit 132 is configured to extract a current channel feature value representing a current communication quality status according to the dynamic network topology information, compare the current channel feature value with the channel feature threshold, and determine a current channel quality level of the network communication node according to a comparison result.
Specifically, the channel quality classes may be divided into four classes, i.e., channel unavailable class, channel poor class, channel medium class, and channel high class, according to actual needs, each class corresponds to channel characteristic thresholds, and when the current channel characteristic value satisfies a signal characteristic threshold of classes (e.g., signal quality is medium), it may be determined that the current communication quality condition satisfies the signal quality of the class.
In alternative embodiments, as shown in fig. 1 and 2, the collection master station 130 is further configured to identify a phase of each of the smart meters according to the dynamic network topology information.
Specifically, the collection master station 130 extracts, according to the dynamic network topology information, a power line network corresponding to each of the smart meters; and identifying the phase of each intelligent electric meter according to the power line power frequency cycle and the zero crossing point moment of each power line network.
In the internet of things system of the low-voltage distribution network of the embodiment, the terminal devices belonging to the same phase lines in the power line network have the same power line power frequency cycle and the same zero-crossing time, and the terminal devices of different phase lines have the same power line power frequency cycle but the zero-crossing times are different, so that the characteristic can be used for phase identification.
In alternative embodiments, as shown in fig. 1 and fig. 2, the acquisition master station 130 is further configured to perform station affiliation identification according to the dynamic network topology information.
Specifically, the acquisition master station 130 identifies carrier signals and neighbor network crosstalk signals of each station area according to the dynamic network topology information; and identifying the affiliation of the station according to the carrier signals and the neighbor network crosstalk signals.
generally, there are two main causes of crosstalk between a plurality of station areas of a high-speed carrier signal, is caused by a common zero line, and secondly, spatial coupling is caused, the strength of a crosstalk signal of a neighbor network is generally weaker than that of the network, and by utilizing the characteristic, the station area attribution identification can be preferentially carried out.
In alternative embodiments, as shown in fig. 1 and 2, the acquisition master station 130 is further configured to:
determining actual intelligent electric meter information in the current network according to the dynamic network topology information;
and matching the actual intelligent electric meter information with a prestored electricity utilization information acquisition system file, automatically filing unmatched actual intelligent electric meter information, and updating the electricity utilization information acquisition system file.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.

Claims (10)

  1. The Internet of things system of low-voltage power distribution networks is characterized by comprising an intelligent distribution transformer terminal, a concentrator, an acquisition main station and a plurality of intelligent electric meters, wherein the intelligent distribution transformer terminal is respectively connected with the concentrator and the acquisition main station, the concentrator is connected with the intelligent electric meters, a th carrier module is arranged in the concentrator, and a second carrier module is arranged in the intelligent electric meters;
    the concentrator is used for acquiring dynamic network topology information of the carrier communication network;
    the intelligent distribution transformer terminal is used for receiving and transmitting the dynamic network topology information to the acquisition master station;
    and the acquisition master station is used for determining the current communication quality condition of the network communication node according to the dynamic network topology information.
  2. 2. The system of claim 1, wherein the acquisition master station comprises a storage unit and a comparison unit, wherein,
    the storage unit is used for pre-storing channel characteristic threshold values representing different channel quality grades;
    and the comparison unit is used for extracting a current channel characteristic value representing the current communication quality state according to the dynamic network topology information, comparing the current channel characteristic value with the channel characteristic threshold value, and determining the current channel quality grade of the network communication node according to the comparison result.
  3. 3. The system of claim 1, wherein the collection master station is further configured to identify a phase of each of the smart meters according to the dynamic network topology information.
  4. 4. The system of claim 3, wherein the acquisition master station is specifically configured to:
    extracting a power line network corresponding to each intelligent electric meter according to the dynamic network topology information;
    and identifying the phase of each intelligent electric meter according to the power line power frequency cycle and the zero crossing point moment of each power line network.
  5. 5. The system according to , wherein the master acquisition station is further configured to perform cell home identification based on the dynamic network topology information.
  6. 6. The system of claim 5, wherein the acquisition master station is specifically configured to:
    identifying carrier signals and neighbor network crosstalk signals of each distribution area according to the dynamic network topology information;
    and identifying the affiliation of the station according to the carrier signals and the neighbor network crosstalk signals.
  7. 7. The system of , wherein the acquisition master station is further configured to:
    determining actual intelligent electric meter information in the current network according to the dynamic network topology information;
    and matching the actual intelligent electric meter information with a prestored electricity utilization information acquisition system file, automatically filing unmatched actual intelligent electric meter information, and updating the electricity utilization information acquisition system file.
  8. 8. The system of , wherein the distribution intelligent terminal is connected to the concentrator via RS-485 network and interacts with 1376.1 protocol.
  9. 9. The system of any of claims 1-4, wherein the concentrator is connected to the smart meter using of a PLC, a micro-power wireless network, and a 485 network.
  10. 10. The system of , wherein the intelligent distribution terminal is connected to the distribution main station using a 4G wireless network and interacts using IEC104 protocol.
CN201911137068.3A 2019-11-19 2019-11-19 Internet of things system of low-voltage distribution network Active CN110739774B (en)

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Cited By (5)

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Publication number Priority date Publication date Assignee Title
CN111564903A (en) * 2020-05-27 2020-08-21 中国电力科学研究院有限公司 Intelligent distribution transformer terminal, intelligent electric meter access method and distribution Internet of things
CN111610361A (en) * 2020-05-14 2020-09-01 国网河北省电力有限公司电力科学研究院 Electric power Internet of things random measurement system and method
CN112053546A (en) * 2020-08-10 2020-12-08 北京智芯微电子科技有限公司 Intelligent fusion terminal and communication method for marketing and distribution through service promotion
WO2022226705A1 (en) * 2021-04-25 2022-11-03 华为技术有限公司 Method and apparatus for identifying topology of power line low-voltage transformer area
WO2022241789A1 (en) * 2021-05-21 2022-11-24 华为技术有限公司 Signal processing method and apparatus

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WO2022241789A1 (en) * 2021-05-21 2022-11-24 华为技术有限公司 Signal processing method and apparatus

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