CN110381462B - power cable partial discharge on-line monitoring system - Google Patents
power cable partial discharge on-line monitoring system Download PDFInfo
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- CN110381462B CN110381462B CN201910850771.2A CN201910850771A CN110381462B CN 110381462 B CN110381462 B CN 110381462B CN 201910850771 A CN201910850771 A CN 201910850771A CN 110381462 B CN110381462 B CN 110381462B
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- H04W12/009—Security arrangements; Authentication; Protecting privacy or anonymity specially adapted for networks, e.g. wireless sensor networks, ad-hoc networks, RFID networks or cloud networks
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- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/12—Detection or prevention of fraud
- H04W12/121—Wireless intrusion detection systems [WIDS]; Wireless intrusion prevention systems [WIPS]
- H04W12/122—Counter-measures against attacks; Protection against rogue devices
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/60—Context-dependent security
- H04W12/67—Risk-dependent, e.g. selecting a security level depending on risk profiles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
Abstract
The utility model provides a power cable partial discharge on-line monitoring system, includes power cable monitoring terminal, data collection module and remote monitoring center, power cable monitoring terminal passes through the sensor node the partial discharge data of monitoring area is gathered, and the partial discharge data that will gather obtains transmits to the data collection module through wireless sensor network, the data collection module is handled the back to the partial discharge data that receive and is transmitted to the remote monitoring center, the remote monitoring center calculates the partial discharge volume of power cable according to the partial discharge data that receive, carries out the early warning when the partial discharge volume that calculates the gained surpasss the safety threshold that sets up promptly. The invention has the beneficial effects that: the sensor network is adopted to collect and transmit the partial discharge data of the power cable, so that the networking flexibility and the transmission reliability are high, the remote monitoring of the partial discharge of the power cable is realized, and the safety of the partial discharge monitoring of the power cable is improved.
Description
Technical Field
The invention relates to the field of power cable monitoring, in particular to a power cable partial discharge online monitoring system.
Background
With the continuous development of economy in China, the urban construction is continuously expanded, and the power load is also continuously increased. At present, the proportion of power cables used in power transmission and distribution systems in China is continuously increased, and the power cables have the advantages of good insulating property, good thermal property and mechanical property and high power supply reliability, so that the power cables are widely applied to power transmission lines and power distribution networks of various voltage grades of the power systems.
the power cable is an important link forming urban power supply and a main network frame, how to improve the operation level of the cable and ensure the reliability of power supply of a power grid is a problem which is urgently needed to be solved at present, after the cable is put into use, the cable not only can be influenced by electric field action, mechanical action and thermal action, but also can be influenced by environmental factors, and the cable is easy to age under the combined action of the factors, so that the real-time monitoring of the insulation of the cable is very important in order to ensure the safe and reliable operation of the cable.
disclosure of Invention
In view of the above problems, the present invention is directed to an online monitoring system for partial discharge of a power cable.
The purpose of the invention is realized by the following technical scheme:
An on-line monitoring system for partial discharge of a power cable comprises a power cable monitoring terminal, a data collection module and a remote monitoring center, wherein the power cable monitoring terminal is arranged in a monitoring area of the power cable, collecting partial discharge data of the monitoring area through a sensor node, transmitting the collected partial discharge data to a data collection module through a wireless sensor network, carrying out denoising processing on the received partial discharge data by the data collection module, and transmits the processed partial discharge data to a remote monitoring center, the remote monitoring center calculates the partial discharge amount of the power cable according to the received partial discharge data, and when the calculated partial discharge amount exceeds a set safety threshold value, early warning is carried out, and the partial discharge amount of the power cable and the corresponding position information are displayed.
preferably, the power cable monitoring terminal adopts a wireless sensor network with a clustering structure, the wireless sensor network is divided into a plurality of clusters by using an LEACH algorithm in the initial stage of the network, two cluster head nodes are randomly selected in each cluster and are marked as a first cluster head node and a second cluster head node, and partial discharge data of the power cable acquired by the sensor nodes in the clusters are respectively sent to the first cluster head node and the second cluster head node.
Preferably, after the initial clustering of the wireless sensor network is completed, each sensor node starts to collect the partial discharge data of the power cable, and calculates the reliability index of each neighbor sensor node by monitoring the behavior of its neighbor sensor node, and sets the sensor node as the neighbor sensor node of the sensor node, and if the reliability index corresponding to the neighbor sensor node is, the calculation formula is as follows:
In the formula, the sum is a weight coefficient, the sum of the times of successful interaction between the neighbor sensor node monitored by the sensor node and the first cluster head node and between the neighbor sensor node monitored by the sensor node and the second cluster head node in a time interval is the sum of the times of unsuccessful interaction between the neighbor cluster head node monitored by the sensor node and the first cluster head node and between the neighbor cluster head node monitored by the sensor node and the second cluster head node in the time interval is the residual energy value of the neighbor sensor node and is the initial energy value of the neighbor sensor node;
Setting a detection threshold, when the reliability index of the neighbor sensor node is larger than or equal to the reliability index of the neighbor sensor node, judging the neighbor sensor node as a safe node, when the reliability index of the neighbor sensor node is smaller than the reliability index of the neighbor sensor node, judging the neighbor sensor node as a suspicious node, and adding the suspicious node into a suspicious neighbor node set corresponding to the sensor node.
preferably, after the first cluster head node and the second cluster head node receive the partial discharge data sent by the sensor nodes in the cluster and the suspicious neighbor node sets thereof, the received partial discharge data are respectively filtered and data fused, the intersection of the received suspicious neighbor node sets of the sensor nodes in each cluster is used as the suspicious node set, and the respective data fusion result and the suspicious node set are sent to the base station, the base station is provided with a risk control unit for carrying out risk control on the received data fusion result, when the first cluster head node and the second cluster head node are judged to be safe cluster head nodes, the mean value of the two received data fusion results is sent to the data collection module, otherwise, the two received data fusion results are discarded, the first cluster head node and the second cluster head node in the cluster and the data fusion results sent to the base station by the first cluster head node and the second cluster head node respectively are set, and defining risk indexes for suspicious node sets respectively sent to the base station by the first cluster head node and the second cluster head node, wherein the calculation formula of the risk indexes corresponding to the first cluster head node and the second cluster head node is as follows:
Wherein, the number of sensor nodes in a cluster is the intersection of the suspicious node set of the first cluster head node and the suspicious node set of the second cluster head node, and represents the number of the sensor nodes in the set;
Defining a risk threshold, when the calculated risk index is obtained, namely judging that a first cluster head node and a second cluster head node are safe cluster head nodes, sending a received suspicious node set to an in-cluster sensor node in a cluster by a base station, checking whether a suspicious neighbor node set of the in-cluster sensor node contains the sensor node in the set according to the received information, if so, introducing a punishment mechanism to punish the reliability index of the suspicious node, setting the suspicious node as the reliability index corresponding to the suspicious node, setting the punishment threshold, and then (wherein, the number of times that the sensor node is judged as the suspicious node), setting the punishment reliability index of the sensor node; at that time, the reliability index of the punished sensor node is determined;
and when the calculated risk index is obtained, the first cluster head node and the second cluster head node are judged to be suspicious cluster head nodes, the base station sets the reliability indexes of the first cluster head node and the second cluster head node, and sends an instruction for reselecting the first cluster head node and the second cluster head node to the sensor nodes in the cluster.
The beneficial effects created by the invention are as follows: the sensor network is adopted to collect and transmit the partial discharge data of the power cable, so that the networking flexibility and the transmission reliability are high, the remote monitoring of the partial discharge of the power cable is realized, and the safety of the partial discharge monitoring of the power cable is improved; reliability detection is carried out on sensor nodes and cluster head nodes in a sensor network, and partial discharge data of the power cable collected by the cluster head nodes are sent to a data collection module only when the cluster head nodes are safe nodes, so that the accuracy of a partial discharge monitoring result of the power cable is improved; defining a reliability index to judge suspicious nodes in a sensor network, wherein in the running process of the network, a sensor node measures the reliability of the sensor node according to the ratio of the successful interaction times and the unsuccessful interaction times of the monitored neighbor sensor node and a cluster head node of a cluster where the neighbor sensor node is located, and in addition, in the calculation process of the reliability index, the residual energy value of the neighbor sensor node is introduced, so that the sensor node with more residual energy values has a higher reliability index, the monitoring loophole caused by the energy exhaustion of the sensor node is avoided, and the connectivity of the network is ensured; double cluster head nodes are arranged in the cluster, the double cluster head nodes respectively process and fuse partial discharge data acquired in the cluster and then send the data to a base station, the base station detects the reliability of a first cluster head node and a second cluster head node by setting a risk index, when calculating the risk index, measuring the reliability of the first cluster head node and the second cluster head node according to the correlation between the data fusion results of the first cluster head node and the second cluster head node, in the risk index, a compensation factor is introduced as the risk index, when more suspicious nodes exist in the cluster, the data fusion results of the first cluster head node and the second cluster head node are greatly influenced, and the misjudgment on the reliability of the cluster head node caused by more suspicious nodes in the cluster can be effectively avoided by introducing the compensation factor, namely the accuracy of the reliability detection of the cluster head node is improved; judging the reliability of the cluster head node by using the calculated risk index, when the cluster head node is judged to be a safe cluster head node, punishing the reliability index of a neighbor suspicious node by using the received in-cluster suspicious node set by the base station, punishing the reliability of the suspicious node by using a punishment mechanism, avoiding the influence of a malicious node on the accuracy of the collected power cable partial discharge data, and effectively improving the accuracy of the monitoring system; the method comprises the steps of setting a punishment threshold value, setting two different punishment mechanisms by utilizing the times that the sensor nodes are judged as suspicious nodes, reducing the punishment degree of the reliability indexes of the sensor nodes when the sensor nodes are judged as the suspicious nodes, increasing the use probability of the sensor nodes, increasing the punishment degree of the reliability indexes of the sensor nodes when the sensor nodes are judged as the suspicious nodes, reducing the use probability of the sensor nodes, and effectively avoiding misjudgment of reliable sensor nodes in a cluster by adopting different punishment mechanisms.
drawings
The invention is further described with the aid of the accompanying drawings, in which, however, the embodiments do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
the invention is further described with reference to the following examples.
Referring to fig. 1, the power cable partial discharge online monitoring system of the embodiment includes a power cable monitoring terminal, a data collection module and a remote monitoring center, the power cable monitoring terminal is installed in a monitoring area of a power cable, collecting partial discharge data of the monitoring area through a sensor node, transmitting the collected partial discharge data to a data collection module through a wireless sensor network, carrying out denoising processing on the received partial discharge data by the data collection module, and transmits the processed partial discharge data to a remote monitoring center, the remote monitoring center calculates the partial discharge amount of the power cable according to the received partial discharge data, and when the calculated partial discharge amount exceeds a set safety threshold value, early warning is carried out, and the partial discharge amount of the power cable and the corresponding position information are displayed.
Preferably, the sensor nodes adopted by the power cable monitoring terminal comprise a high-frequency current sensor, an ultrahigh frequency sensor, an ultrasonic sensor and an infrared temperature sensor.
The preferred embodiment adopts the sensor network to collect and transmit the partial discharge data of the power cable, has higher networking flexibility and high transmission reliability, realizes the remote monitoring of the partial discharge of the power cable, and improves the safety of the partial discharge monitoring of the power cable; reliability detection is carried out on sensor nodes and cluster head nodes in the sensor network, and only when the cluster head nodes are safe nodes, partial discharge data of the power cable collected by the cluster head nodes are sent to the data collection module, so that the accuracy of a partial discharge monitoring result of the power cable is improved.
preferably, the power cable monitoring terminal adopts a wireless sensor network with a clustering structure, the wireless sensor network is divided into a plurality of clusters by using an LEACH algorithm in the initial stage of the network, two cluster head nodes are randomly selected in each cluster and are marked as a first cluster head node and a second cluster head node, and partial discharge data of the power cable acquired by the sensor nodes in the clusters are respectively sent to the first cluster head node and the second cluster head node.
preferably, after the wireless sensor network completes the initial clustering, each sensor node starts to collect the partial discharge data of the power cable, and calculates the reliability index of each neighbor sensor node by monitoring the behavior of its neighbor sensor node, and sets the sensor node as the neighbor sensor node of the sensor node, and the reliability index corresponding to the neighbor sensor node is, then the calculation formula is:
In the formula, the sum is a weight coefficient, the sum of the times of successful interaction between the neighbor sensor node monitored by the sensor node and the first cluster head node and between the neighbor sensor node monitored by the sensor node and the second cluster head node in a time interval is the sum of the times of unsuccessful interaction between the neighbor cluster head node monitored by the sensor node and the first cluster head node and between the neighbor cluster head node monitored by the sensor node and the second cluster head node in the time interval is the residual energy value of the neighbor sensor node and is the initial energy value of the neighbor sensor node;
setting a detection threshold, when the reliability index of the neighbor sensor node is larger than or equal to the reliability index of the neighbor sensor node, judging the neighbor sensor node as a safe node, when the reliability index of the neighbor sensor node is smaller than the reliability index of the neighbor sensor node, judging the neighbor sensor node as a suspicious node, and adding the suspicious node into a suspicious neighbor node set corresponding to the sensor node.
in addition, in the calculation process of the reliability index, the residual energy value of the neighbor sensor node is introduced, so that the sensor node with more residual energy values has higher reliability index, the monitoring vulnerability caused by the energy exhaustion of the sensor node is avoided, and the connectivity of the network is ensured.
Preferably, after the first cluster head node and the second cluster head node receive the partial discharge data sent by the sensor nodes in the cluster and the suspicious neighbor node sets thereof, the received partial discharge data are respectively filtered and data fused, the intersection of the received suspicious neighbor node sets of the sensor nodes in each cluster is used as the suspicious node set, and the respective data fusion result and the suspicious node set are sent to the base station, the base station is provided with a risk control unit for carrying out risk control on the received data fusion result, when the first cluster head node and the second cluster head node are judged to be safe cluster head nodes, the mean value of the two received data fusion results is sent to the data collection module 2, otherwise, the two received data fusion results are discarded, the first cluster head node and the second cluster head node in the cluster and the data fusion results sent to the base station by the first cluster head node and the second cluster head node respectively are set, and defining risk indexes for suspicious node sets respectively sent to the base station by the first cluster head node and the second cluster head node, wherein the calculation formula of the risk indexes corresponding to the first cluster head node and the second cluster head node is as follows:
Wherein, the number of sensor nodes in a cluster is the intersection of the suspicious node set of the first cluster head node and the suspicious node set of the second cluster head node, and represents the number of the sensor nodes in the set;
Defining a risk threshold, when the calculated risk index is obtained, namely judging that a first cluster head node and a second cluster head node are safe cluster head nodes, sending a received suspicious node set to an in-cluster sensor node in a cluster by a base station, checking whether a suspicious neighbor node set of the in-cluster sensor node contains the sensor node in the set according to the received information, if so, introducing a punishment mechanism to punish the reliability index of the suspicious node, setting the suspicious node as the reliability index corresponding to the suspicious node, setting the punishment threshold, and then (wherein, the number of times that the sensor node is judged as the suspicious node), setting the punishment reliability index of the sensor node; at that time, the reliability index of the punished sensor node is determined;
And when the calculated risk index is obtained, the first cluster head node and the second cluster head node are judged to be suspicious cluster head nodes, the base station sets the reliability indexes of the first cluster head node and the second cluster head node, and sends an instruction for reselecting the first cluster head node and the second cluster head node to the sensor nodes in the cluster.
Preferably, when the sensor nodes in the cluster receive an instruction sent by the base station to reselect the first cluster head node and the second cluster head node, that is, two sensor nodes with the highest reliability indexes are selected in the cluster as a new first cluster head node and a new second cluster head node.
in the preferred embodiment, double cluster head nodes are arranged in a cluster, the double cluster head nodes respectively process partial discharge data acquired in the cluster, perform data fusion and then send the partial discharge data to a base station, the base station detects the reliability of a first cluster head node and a second cluster head node by setting a risk index, when calculating the risk index, measuring the reliability of the first cluster head node and the second cluster head node according to the correlation between the data fusion results of the first cluster head node and the second cluster head node, in the risk index, a compensation factor is introduced as the risk index, when more suspicious nodes exist in the cluster, the data fusion results of the first cluster head node and the second cluster head node are greatly influenced, and the misjudgment on the reliability of the cluster head node caused by more suspicious nodes in the cluster can be effectively avoided by introducing the compensation factor, namely the accuracy of the reliability detection of the cluster head node is improved; judging the reliability of the cluster head node by using the calculated risk index, when the cluster head node is judged to be a safe cluster head node, punishing the reliability index of a neighbor suspicious node by using the received in-cluster suspicious node set by the base station, punishing the reliability of the suspicious node by using a punishment mechanism, avoiding the influence of a malicious node on the accuracy of the collected power cable partial discharge data, and effectively improving the accuracy of the monitoring system; setting a punishment threshold, setting two different punishment mechanisms by utilizing the times that the sensor nodes are judged as suspicious nodes, reducing the punishment degree on the reliability index of the sensor nodes when the sensor nodes are judged as the suspicious nodes with less times, increasing the use probability of the sensor nodes, increasing the punishment degree on the reliability index of the sensor nodes when the sensor nodes are judged as the suspicious nodes with more times, reducing the use probability of the sensor nodes, and effectively avoiding misjudgment of reliable sensor nodes in a cluster by adopting different punishment mechanisms; the two sensor nodes with the highest reliability indexes in the cluster are selected as new cluster head nodes, so that the safety of selecting the cluster head nodes is improved, the selected cluster head nodes have high reliability, and the safety of the data fusion process and the reliability of the fusion result are improved.
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 (1)
1. An on-line monitoring system for partial discharge of a power cable is characterized by comprising a power cable monitoring terminal, a data collection module and a remote monitoring center, wherein the power cable monitoring terminal is arranged in a monitoring area of the power cable, collecting partial discharge data of the monitoring area through a sensor node, transmitting the collected partial discharge data to a data collection module through a wireless sensor network, carrying out denoising processing on the received partial discharge data by the data collection module, and transmits the processed partial discharge data to a remote monitoring center, the remote monitoring center calculates the partial discharge amount of the power cable according to the received partial discharge data, when the calculated partial discharge amount exceeds a set safety threshold value, early warning is carried out, and the partial discharge amount of the power cable and corresponding position information are displayed;
The power cable monitoring terminal adopts a wireless sensor network with a clustering structure, the wireless sensor network is divided into a plurality of clusters by using an LEACH algorithm in the initial stage of the network, two cluster head nodes are randomly selected in each cluster and are marked as a first cluster head node and a second cluster head node, and partial discharge data of a power cable acquired by the sensor nodes in the clusters are respectively sent to the first cluster head node and the second cluster head node;
After the initial clustering of the wireless sensor network is completed, each sensor node starts to collect the partial discharge data of the power cable, and the reliability index of each neighbor sensor node is calculated by monitoring the behavior of the neighbor sensor node, the sensor node is set as the neighbor sensor node of the sensor node, the reliability index corresponding to the neighbor sensor node is as follows, and the calculation formula is as follows:
In the formula, the sum is a weight coefficient, the sum of the times of successful interaction between the neighbor sensor node monitored by the sensor node and the first cluster head node and between the neighbor sensor node monitored by the sensor node and the second cluster head node in a time interval is the sum of the times of unsuccessful interaction between the neighbor sensor node monitored by the sensor node and the first cluster head node and between the neighbor sensor node monitored by the sensor node and the second cluster head node in the time interval is the residual energy value of the neighbor sensor node and is the initial energy value of the neighbor sensor node;
Setting a detection threshold, when the reliability index of the neighbor sensor node is larger than or equal to the reliability index of the neighbor sensor node, judging the neighbor sensor node as a safe node, when the reliability index of the neighbor sensor node is smaller than the reliability index of the neighbor sensor node, judging the neighbor sensor node as a suspicious node, and adding the suspicious node into a suspicious neighbor node set corresponding to the sensor node; when a first cluster head node and a second cluster head node receive partial discharge data sent by sensor nodes in a cluster and a suspicious neighbor node set thereof, the received partial discharge data are respectively filtered and data fused, the intersection of the received suspicious neighbor node set of each sensor node in the cluster is used as a suspicious node set, and the respective data fusion result and the suspicious node set are sent to a base station, the base station is provided with a risk control unit for carrying out risk control on the received data fusion result, when the first cluster head node and the second cluster head node are judged to be safe cluster head nodes, the mean value of the two received data fusion results is sent to a data collection module, otherwise, the two received data fusion results are abandoned, and the first cluster head node and the second cluster head node in the cluster and the data fusion results sent to the base station by the first cluster head node and the second cluster head node respectively are set and set, and defining risk indexes for suspicious node sets respectively sent to the base station by the first cluster head node and the second cluster head node, wherein the calculation formula of the risk indexes corresponding to the first cluster head node and the second cluster head node is as follows:
wherein, the number of sensor nodes in a cluster is the intersection of the suspicious node set of the first cluster head node and the suspicious node set of the second cluster head node, and represents the number of the sensor nodes in the set;
defining a risk threshold, when the calculated risk index is obtained, namely judging that a first cluster head node and a second cluster head node are safe cluster head nodes, sending a received suspicious node set to an in-cluster sensor node in a cluster by a base station, checking whether a suspicious neighbor node set of the in-cluster sensor node contains the sensor node in the set according to the received information, if so, introducing a punishment mechanism to punish the reliability index of the suspicious node, setting the suspicious node as the reliability index corresponding to the suspicious node, setting a punishment threshold, and then, judging the times of judging the sensor node as the suspicious node, and then, determining the punishment reliability index of the sensor node; at that time, the reliability index of the punished sensor node is determined;
and when the calculated risk index is obtained, the first cluster head node and the second cluster head node are judged to be suspicious cluster head nodes, the base station sets the reliability indexes of the first cluster head node and the second cluster head node, and sends an instruction for reselecting the first cluster head node and the second cluster head node to the sensor nodes in the cluster.
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