CN109103992B - Power transmission line real-time reliable monitoring system applied to smart power grid - Google Patents

Power transmission line real-time reliable monitoring system applied to smart power grid Download PDF

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CN109103992B
CN109103992B CN201811245132.5A CN201811245132A CN109103992B CN 109103992 B CN109103992 B CN 109103992B CN 201811245132 A CN201811245132 A CN 201811245132A CN 109103992 B CN109103992 B CN 109103992B
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node
transmission line
nodes
parameter information
power transmission
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CN109103992A (en
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陈小芹
吕志宁
庞宁
黄建华
冷迪
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Shenzhen Power Supply Co ltd
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    • H02J13/0086
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • 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
    • Y04S40/126Systems 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 using wireless data transmission

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Abstract

The invention provides a real-time reliable monitoring system for a power transmission line applied to a smart power grid, which comprises a monitoring subsystem and an anomaly analysis terminal; the monitoring subsystem comprises nodes which are networked in a multi-hop mode through a wireless sensor network, the nodes comprise sensor nodes and sink nodes, the sensor nodes monitor and sense the power transmission line and send the obtained parameter information of the power transmission line to the sink nodes; the sink node converges the transmission line parameter information sent by each sensor node, processes the transmission line parameter information and forwards the transmission line parameter information to the abnormity analysis terminal; and the abnormity analysis terminal is used for analyzing, processing and displaying the power transmission line parameter information sent by the sink node, and alarming when the power transmission line parameter information is abnormal. The invention realizes the remote real-time monitoring of the power transmission line by utilizing the wireless sensor network technology.

Description

Power transmission line real-time reliable monitoring system applied to smart power grid
Technical Field
The invention relates to the technical field of power transmission line monitoring, in particular to a real-time reliable power transmission line monitoring system applied to a smart power grid.
Background
With the continuous acceleration of industrialization and urbanization, the power demand continuously increases, and a strong and reliable modern large power grid has irreplaceable effects on guaranteeing national energy safety and optimizing energy configuration in a larger range. The intelligent power grid with the informatization, digitization and automation characteristics is a guarantee of safe, reliable and efficient power transmission, is the direction of power science development, and is particularly important for monitoring the power grid. The power transmission line serving as a power transmission link has the characteristics of large dispersity, long distance, difficulty in inspection and maintenance and the like, so that remote monitoring of the power transmission line becomes urgent work.
Disclosure of Invention
Aiming at the problems, the invention provides a real-time reliable monitoring system for a power transmission line applied to a smart power grid.
The purpose of the invention is realized by adopting the following technical scheme:
the utility model provides a transmission line real-time reliable monitoring system for smart power grids, including monitoring subsystem and anomaly analysis terminal.
The monitoring subsystem comprises nodes which are networked in a multi-hop mode through a wireless sensor network, wherein the nodes comprise sensor nodes and sink nodes, the sensor nodes monitor and sense the power transmission line and send the obtained parameter information of the power transmission line to the sink nodes; the aggregation nodes aggregate the power transmission line parameter information sent by each sensor node, process the power transmission line parameter information and then forward the processed power transmission line parameter information to the abnormity analysis terminal.
And the abnormity analysis terminal is used for analyzing, processing and displaying the power transmission line parameter information sent by the sink node, and alarming when the power transmission line parameter information is abnormal.
Preferably, the anomaly analysis terminal includes a data processor and a display, the data processor compares the received power transmission line parameter information with a safety threshold set correspondingly, outputs a comparison result, and the display displays the comparison result.
The invention has the beneficial effects that: the temperature, voltage, current, tension and other relevant physical parameter values of the power transmission line can be remotely monitored in real time, the trouble of wiring is avoided, and the monitoring precision is high.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a schematic block diagram of a power transmission line real-time reliable monitoring system applied to a smart grid according to an embodiment of the present invention;
fig. 2 is a block diagram schematically illustrating an abnormality analysis terminal according to an embodiment of the present invention.
Reference numerals:
the monitoring subsystem 1, the abnormal analysis terminal 2, the alarm 3, the data processor 10, the display 20.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the power transmission line real-time reliable monitoring system applied to the smart grid provided in this embodiment includes a monitoring subsystem 1 and an anomaly analysis terminal 2.
The monitoring subsystem 1 comprises nodes which are networked in a multi-hop mode through a wireless sensor network, the nodes comprise sensor nodes and sink nodes, the sensor nodes monitor and sense the power transmission line and send the obtained parameter information of the power transmission line to the sink nodes.
The sink node gathers the transmission line parameter information sent by each sensor node, processes the transmission line parameter information and forwards the transmission line parameter information to the abnormality analysis terminal 2.
And the abnormity analysis terminal 2 is used for analyzing, processing and displaying the transmission line parameter information sent by the sink node, and giving an alarm when the transmission line parameter information is abnormal.
The power transmission line parameter information comprises the tension, the temperature, the voltage and the current of the current line.
In one embodiment, as shown in fig. 2, the abnormality analysis terminal 2 includes a data processor 10 and a display 20, where the data processor 10 compares the received transmission line parameter information with a correspondingly set safety threshold, outputs a comparison result, and displays the comparison result on the display 20. The display 20 is also used for displaying the parameter information of the power transmission line in real time, so that monitoring personnel can check the state information of the power transmission line in real time.
Optionally, the real-time reliable monitoring system for the power transmission line applied to the smart grid further includes an alarm 3 connected to the data processor 10, and when the parameter information of the power transmission line exceeds a corresponding set safety threshold, the data processor 10 drives the alarm 3 to give an alarm.
The alarm 30 includes a buzzer alarm or an audible and visual alarm, which is not limited in this embodiment.
The embodiment of the invention can remotely monitor the temperature, voltage, current, tension and other related physical parameter values of the power transmission line in real time, avoids the trouble of wiring and has high monitoring precision.
When a network is initialized, a sensor node receives broadcast information of a sink node, network flooding is carried out through the broadcast information, the sensor node adds all neighbor nodes to a neighbor table of the sensor node, and determines a routing mode from the sensor node to the sink node, wherein the neighbor nodes are other sensor nodes positioned in a communication range of the sensor node; the determining of the routing mode from the self to the aggregation node comprises the following steps: when the sensor node meets the direct forwarding condition, the acquired transmission line parameter information is directly sent to the sink node, if the sensor node does not meet the direct forwarding condition, one neighbor node is selected from a neighbor table of the sensor node to serve as a next hop node, and the acquired transmission line parameter information is sent to the next hop node;
wherein the direct forwarding condition is:
Figure BDA0001840338070000031
in the formula, WiIs the current remaining energy, W, of the sensor node iip0Current residual energy, n, of the p-th neighbor node of sensor node iiNumber of neighbor nodes, W, for sensor node iminIs a preset energy lower limit value; h (i, sink) is the distance from the sensor node i to the sink node, HminAdjustable minimum communication distance for sensor nodes, HmaxThe maximum communication distance that can be adjusted for the sensor node,
Figure BDA0001840338070000032
as a value function, when H (i, sink) -
Figure BDA0001840338070000033
When the temperature of the water is higher than the set temperature,
Figure BDA0001840338070000034
when in use
Figure BDA0001840338070000035
When the temperature of the water is higher than the set temperature,
Figure BDA0001840338070000036
in this embodiment, a direct forwarding condition is creatively set based on two factors, namely energy and distance, and the sensor node determines a routing manner to the sink node according to whether the sensor node meets the direct forwarding condition, specifically: and when the sensor node meets the direct forwarding condition, the acquired transmission line parameter information is directly sent to the sink node, if the sensor node does not meet the direct forwarding condition, one neighbor node is selected from a neighbor table of the sensor node to serve as a next hop node, and the acquired transmission line parameter information is sent to the next hop node.
In this embodiment, the sensor node determines a routing mode according to the direct forwarding condition, so that the flexibility of routing is guaranteed, the reliability of sending the transmission line parameter information to the sink node is improved, and the packet loss rate is reduced.
In one embodiment, the sensor node selects one neighbor node from its neighbor table as a next-hop node, including:
(1) the sensor node sends election messages to all neighbor nodes in a neighbor table, and any neighbor node calculates waiting time after receiving the election messages:
Figure BDA0001840338070000037
in the formula, XijRepresents the latency, W, calculated by the jth neighbor node of sensor node iijIs the current residual energy, W, of the jth neighbor nodeijoH (j, sink) is the distance from the jth neighbor node to the sink node, H (i, sink) is the distance from the sensor node i to the sink node, and X is the initial energy of the jth neighbor node1For a preset energy-based waiting time, X2A preset distance-based wait time;
(2) any neighbor node j waits for XijThen, sending a feedback message to the sensor node i;
(3) and the sensor node i takes the neighbor node corresponding to the received first feedback message as a next hop node.
This embodiment proposes a next hop node selection mechanism, based on which, when a sensor node selects a neighbor node from its neighbor table as a next hop node, it sends an election competition message to each neighbor node, and determines the next hop node according to the time sequence of receiving the feedback messages of the neighbor nodes.
Through the design of the waiting time, the waiting time of the neighbor nodes can be controlled within a reasonable range, and the neighbor nodes with more residual energy and closer to the sink node can have shorter waiting time, so that the neighbor nodes have higher probability to serve as next-hop nodes of the sensor nodes, and the reliability of multi-hop forwarding of the parameter information of the power transmission line is improved.
In the embodiment, the waiting time is calculated by the neighbor nodes, the sensor nodes do not need to collect the information of the neighbor nodes, the energy consumption of the sensor nodes is saved, and the efficiency of determining the next hop node is improved.
In one embodiment, the sensor node calculates a communication distance threshold value according to the current remaining energy at regular intervals, and when the calculated communication distance threshold value is smaller than the distance between the sensor node and a next hop node, the sensor node selects the next hop node from neighbor nodes the distance between which is smaller than the communication distance threshold value; the calculation formula for setting the communication distance threshold is as follows:
Figure BDA0001840338070000041
in the formula, Hp(t) is the communication distance threshold value calculated by the sensor node p in the t-th period, HminAdjustable minimum communication distance for sensor nodes, HmaxAdjustable maximum communication distance, W, for sensor nodespIs the current remaining energy, W, of the sensor node pi0Is the initial energy of the sensor node i, r is a preset distance adjusting factor, and the value range of r is [0.85, 0.95 ]]。
In this embodiment, the sensor node periodically calculates a communication distance threshold according to the current remaining energy, and reselects a closer neighbor node as a next-hop node when the distance between the sensor node and the next-hop node is greater than the communication distance threshold. The method of reselecting a closer neighbor node as a next hop node is performed based on the selection mechanism of the next hop node in the above embodiment.
According to the embodiment, when the energy of the sensor node is low, the next hop node with a short distance is selected in time to undertake the relay forwarding task, so that the energy consumption of the sensor node for sending the parameter information of the power transmission line to the next hop node is reduced, and the energy consumption rate of the sensor node is reduced.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (5)

1. The real-time reliable monitoring system for the power transmission line of the smart power grid is characterized by comprising a monitoring subsystem and an anomaly analysis terminal; the monitoring subsystem comprises nodes which are networked in a multi-hop mode through a wireless sensor network, the nodes comprise sensor nodes and sink nodes, the sensor nodes monitor and sense the power transmission line and send the obtained parameter information of the power transmission line to the sink nodes; the sink node converges the transmission line parameter information sent by each sensor node, processes the transmission line parameter information and forwards the transmission line parameter information to the abnormity analysis terminal; the abnormity analysis terminal is used for analyzing, processing and displaying the transmission line parameter information sent by the sink node, and alarming when the transmission line parameter information is abnormal; when a network is initialized, a sensor node receives broadcast information of a sink node, network flooding is carried out through the broadcast information, the sensor node adds all neighbor nodes to a neighbor table of the sensor node, and determines a routing mode from the sensor node to the sink node, wherein the neighbor nodes are other sensor nodes positioned in a communication range of the sensor node; the determining of the routing mode from the self to the aggregation node comprises the following steps: when the sensor node meets the direct forwarding condition, the acquired transmission line parameter information is directly sent to the sink node, if the sensor node does not meet the direct forwarding condition, one neighbor node is selected from a neighbor table of the sensor node to serve as a next hop node, and the acquired transmission line parameter information is sent to the next hop node;
wherein the direct forwarding condition is:
Figure FDA0002364405160000011
in the formula, WiIs the current remaining energy, W, of the sensor node iip0Current residual energy, n, of the p-th neighbor node of sensor node iiNumber of neighbor nodes, W, for sensor node iminIs a preset energy lower limit value; h (i, sink) is the distance from the sensor node i to the sink node, HminAdjustable minimum communication distance for sensor nodes, HmaxThe maximum communication distance that can be adjusted for the sensor node,
Figure FDA0002364405160000012
as a function of value when
Figure FDA0002364405160000013
When the temperature of the water is higher than the set temperature,
Figure FDA0002364405160000014
when in use
Figure FDA0002364405160000015
When the temperature of the water is higher than the set temperature,
Figure FDA0002364405160000016
Figure FDA0002364405160000017
2. the real-time reliable monitoring system for the power transmission line of the smart grid as claimed in claim 1, wherein the anomaly analysis terminal comprises a data processor and a display, the data processor compares the received parameter information of the power transmission line with a corresponding set safety threshold, outputs a comparison result, and the display displays the comparison result.
3. The real-time reliable monitoring system for the power transmission line of the smart grid as claimed in claim 2, further comprising an alarm connected to the data processor, wherein the data processor drives the alarm to alarm when the parameter information of the power transmission line exceeds a corresponding set safety threshold.
4. The real-time reliable monitoring system for the power transmission line of the smart grid according to claim 1, wherein the power transmission line parameter information comprises tension, temperature, voltage and current of the current line.
5. The system of claim 1, wherein the sensor node selects a neighbor node from its neighbor table as a next hop node, and the system comprises:
(1) the sensor node sends election messages to all neighbor nodes in a neighbor table, and any neighbor node calculates waiting time after receiving the election messages:
Figure FDA0002364405160000021
in the formula, XijRepresents the latency, W, calculated by the jth neighbor node of sensor node iijIs the current residual energy, W, of the jth neighbor nodeijoH (j, sink) is the distance from the jth neighbor node to the sink node, H (i, sink) is the distance from the sensor node i to the sink node, and X is the initial energy of the jth neighbor node1For a preset energy-based waiting time, X2A preset distance-based wait time;
(2) any neighbor node j waits for XijThen, sending a feedback message to the sensor node i;
(3) and the sensor node i takes the neighbor node corresponding to the received first feedback message as a next hop node.
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Inventor after: Chen Xiaoqin

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