CN117406137B - Method and system for monitoring lightning leakage current of power transmission line - Google Patents
Method and system for monitoring lightning leakage current of power transmission line Download PDFInfo
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Abstract
The invention discloses a method and a system for monitoring lightning leakage current of a power transmission line, wherein the method comprises the following steps: providing a lightning leakage current information acquisition technology of a power transmission line, wherein the lightning leakage current information acquisition technology is used for acquiring basic information for monitoring the lightning leakage current; providing a transmission line lightning leakage current information transmission technology based on LoRa, and transmitting basic information for monitoring the lightning leakage current through the LoRa; taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a testing set, and establishing a power transmission line lightning leakage current detection model based on a BP neural network; and providing a transmission line lightning monitoring model based on the LoRa-BP neural network, and realizing monitoring of transmission line lightning leakage current under different environments. The invention has the advantages of comprehensive information collection, wide coverage area of the power transmission line, low monitoring power consumption, low communication cost, high identification accuracy and the like, can adapt to different power transmission line environments, and improves the monitoring capability of lightning leakage current of the power transmission line.
Description
Technical Field
The invention relates to the technical field of electrical monitoring, in particular to a method and a system for monitoring lightning leakage current of a power transmission line.
Background
The lightning leakage current of the transmission line is mainly caused by lightning, and when the lightning hits or occurs in a nearby area, air ionization and charge separation can be caused, so that the lightning leakage current is caused. Lightning leakage current, although a transient, transient phenomenon, can cause damage to transmission lines and related equipment. Therefore, it is important for the transmission line to monitor the lightning leakage current and take appropriate protective measures.
The existing method for monitoring the lightning leakage current of the power transmission line can have the problems of limited coverage, insufficient real-time performance, higher energy consumption, insufficient modeling capability on complex nonlinear relations and the like. The traditional monitoring method is limited by equipment arrangement and communication technology, has limited monitoring coverage, and is difficult to comprehensively monitor a wide-area power transmission line; the traditional monitoring system faces the problems of low data transmission and processing speed, so that the real-time performance of a monitoring result is insufficient, and a lightning leakage current event cannot be responded quickly; the traditional monitoring equipment has higher energy consumption, and the battery needs to be frequently replaced or maintained, so that the operation cost is increased; the traditional monitoring method has limited modeling capability on complex nonlinear relation generated by lightning leakage current of the power transmission line, thereby affecting the accuracy of monitoring.
The technology of LoRa and BP neural network is adopted to monitor the lightning leakage current, and has the following advantages: firstly, the wide area low power consumption communication (LoRa) technology has the characteristics of a far communication range and low power consumption, can be used for remotely monitoring a wide area transmission line, has a wider coverage range, and reduces the infrastructure construction cost; then, the BP neural network can effectively model a complex nonlinear relation, and the understanding of complex electrical characteristics generated by lightning leakage current can be improved by training the neural network, so that the accuracy and the reliability of monitoring are improved; secondly, the low power consumption characteristic of the LoRa technology is beneficial to prolonging the service life of a battery of a sensor node, and the online learning and real-time monitoring capability of the BP neural network is beneficial to improving the real-time monitoring performance; finally, by combining the LoRa and BP neural networks, a remote monitoring system can be established, and early warning is carried out in real time, so that measures can be taken in time when a lightning current leakage event occurs, and the safety and reliability of the power transmission line are improved. Therefore, by combining the advanced technologies of LoRa and BP neural networks, the method can effectively overcome some defects of the traditional monitoring method and improve the monitoring capability of lightning leakage current.
Disclosure of Invention
Aiming at the problems of limited coverage, insufficient real-time performance, higher energy consumption, insufficient modeling capability for complex nonlinear relations and the like possibly existing in the existing transmission line lightning leakage current monitoring method, the invention provides the transmission line lightning leakage current monitoring method and system, which can adapt to different transmission line environments based on LoRa and BP neural networks and improve the monitoring capability for the transmission line lightning leakage current.
In order to achieve the above object, the present invention is realized by the following technical scheme:
a method for monitoring lightning leakage current of a power transmission line is based on a LoRa-BP neural network and specifically comprises the following steps:
providing a lightning leakage current information acquisition technology of a power transmission line, wherein the lightning leakage current information acquisition technology is used for acquiring basic information for monitoring the lightning leakage current, and the basic information for monitoring the lightning leakage current comprises current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line; the lightning leakage current is related to the information of voltage, temperature, humidity, ground potential, time, space and the like besides the current information, and compared with the traditional method for monitoring by only collecting the current information, the method provided by the invention has the advantages that the collected information is more comprehensive, and the monitoring precision of the lightning leakage current can be effectively improved;
providing a transmission line lightning leakage current information transmission technology based on LoRa, and waking up the LoRa to transmit the basic information for monitoring the lightning leakage current periodically or after lightning occurs;
Taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a test set, performing offline training on a BP neural network by using the training set, evaluating network performance by using the test set, and establishing a power transmission line lightning leakage current detection model based on the BP neural network; the lightning leakage current is related to the current information, voltage, temperature, humidity, ground potential, time, space and other information, has complex nonlinear characteristics, and compared with the traditional method for extracting harmonic components in current signals, the method models the complex nonlinear relation characteristics of the lightning leakage current based on the BP neural network, and can improve the understanding of the complex electrical characteristics generated by the lightning leakage current by training the neural network, thereby improving the monitoring accuracy and reliability of the lightning leakage current;
And providing a transmission line lightning monitoring model based on the LoRa-BP neural network, and realizing monitoring of transmission line lightning leakage current under different environments.
As a preferable mode of the present invention, the basic information for monitoring the lightning leakage current is expressed as:
；
In the method, in the process of the invention, The basic information for monitoring the lightning leakage current is acquired at the moment t; /(I)For the current information of the power transmission line acquired at the moment t,/>For the power transmission line voltage information acquired at the moment t,/>For the temperature information of the power transmission line acquired at the moment t,/>For the humidity information of the power transmission line acquired at the moment t,/>For the ground potential information of the power transmission line acquired at the moment t,/>And the spatial information of the transmission line is acquired at the moment t.
As a preferable scheme of the invention, the transmission technology of the lightning leakage current information of the power transmission line based on LoRa comprises a modulation process and a demodulation process of basic information for monitoring the lightning leakage current, and specifically comprises the following steps:
the acquired basic information for monitoring the lightning leakage current is modulated according to the formula:
；
In the method, in the process of the invention, For the basic information for monitoring the lightning leakage current acquired at the moment t,/>Is the basic information for monitoring the lightning leakage current after the modulation at the time t,/>For the signal frequency of basic information for monitoring lightning leakage current at t moment transmitted on LoRa channel,/>The phase angle of a signal transmitted on a LoRa channel by basic information for monitoring lightning leakage current at the moment t;
The modulated basic information for monitoring the lightning leakage current is transmitted, the transmission process is affected by noise, and the formula is as follows:
；
In the method, in the process of the invention, For the basic information for monitoring the lightning leakage current received by the receiving end at the moment t,/>Represents basic information/>, for monitoring lightning leakage current after modulation at time tNoise experienced during transmission;
the receiving end demodulates the received signal of the basic information for monitoring the lightning leakage current, and the formula is as follows:
；
In the method, in the process of the invention, The signal of the basic information for monitoring the lightning leakage current after demodulation of the receiving end at the moment t;
and carrying out high-filtering processing on the demodulated signal of the basic information for monitoring the lightning leakage current, wherein the formula is as follows:
；
Wherein: for the basic information for monitoring the lightning leakage current after the demodulation at the time t,/> Is a low pass filter function;
modulating and demodulating the current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line one by one according to the steps, and monitoring the demodulated basic information for lightning leakage current Expressed as:
；
In the method, in the process of the invention, For the power transmission line current information transmitted by LoRa at time t,/>For the voltage information of the power transmission line after being transmitted by LoRa at time t,/>The temperature information of the power transmission line after being transmitted by LoRa at the moment t,For the humidity information of the power transmission line after being transmitted by LoRa at time t,/>For the ground potential information of the power transmission line after LoRa transmission at time t,/>And the spatial information of the transmission line after being transmitted by LoRa at the time t.
As a preferable scheme of the invention, the transmission line lightning leakage current detection model based on the BP neural network comprises an input layer, an hidden layer and an output layer, and the demodulated basic information for monitoring the lightning leakage currentInput as neural network/>I is the number of layers of neural network training;
For a pair of Five-layer training is performed, wherein the hidden layer adopts tansig functions, and hidden layer output/>The method comprises the following steps:
；
In the method, in the process of the invention, Connecting weights from an input layer to an output layer of the neural network; /(I)Is a neural network threshold,/>N is the number of hidden layer units of the neural network;
the output layer adopts purelin functions, and the output of the neural network The method comprises the following steps:
；
In the method, in the process of the invention, Connecting weights from the hidden layer units to the output layer units; k takes on the value of 1 or 2, when k=1, Y 1 indicates that there is a lightning leakage current, and when k=2, Y 2 indicates that no lightning leakage current occurs.
As a preferable scheme of the invention, the transmission line lightning leakage current detection model based on the BP neural network has the following formula:
；
In the method, in the process of the invention, Represents an mth transmission line lightning leakage current detection model based on BP neural network,/>Representing trained BP neural network,/>Connecting weights from an input layer to an output layer of the neural network; /(I)Is a neural network threshold.
As a preferable scheme of the invention, the invention provides a transmission line lightning monitoring model based on a LoRa-BP neural network, which realizes the monitoring of the lightning leakage current of the transmission line under different environments, and specifically comprises the following steps: extracting a connection weight and a threshold value from a trained transmission line lightning leakage current detection model based on the BP neural network, constructing a transmission line lightning leakage current model library, and updating the transmission line lightning leakage current model library into a system at regular intervals; and transmitting the power transmission line information acquired under different environments through the LoRa, monitoring and analyzing the power transmission line information transmitted through the LoRa based on the power transmission line lightning monitoring model, and giving an alarm once lightning leakage current is found.
A transmission line lightning leakage current monitoring system based on a transmission line lightning leakage current monitoring method as described above, the system comprising:
the information acquisition module is used for acquiring basic information for monitoring the lightning leakage current through a lightning leakage current information acquisition technology of the power transmission line, wherein the basic information for monitoring the lightning leakage current comprises current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line;
The LoRa transmission module is used for waking up the LoRa to transmit the basic information for monitoring the lightning leakage current periodically or after lightning occurs through a transmission line lightning leakage current information transmission technology based on the LoRa;
the BP neural network module is used for taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a testing set, performing offline training on the BP neural network by using the training set, evaluating the network performance by using the testing set, and establishing a power transmission line lightning leakage current detection model based on the BP neural network;
And the transmission line lightning monitoring module is used for establishing a transmission line lightning monitoring model based on the LoRa-BP neural network and realizing monitoring of transmission line lightning leakage current under different environments.
The utility model provides a transmission line thunder and lightning current leakage monitoring facilities, includes memory and treater, the memory stores the computer program that can be loaded and carry out a transmission line thunder and lightning current leakage monitoring method corresponding as above on the memory.
A computer readable storage medium having stored thereon computer program instructions for implementing a process corresponding to a transmission line lightning current leakage monitoring method as described above when executed by a processor.
Compared with the prior art, the invention has the beneficial effects that: the lightning leakage current is related to the current information, voltage, temperature, humidity, ground potential, time and space information and has complex nonlinear characteristics, so that the basic information for monitoring the lightning leakage current, which is acquired by the invention, is more comprehensive than the information acquired by the traditional method for monitoring the current information only, and the monitoring precision of the lightning leakage current can be effectively improved; compared with the traditional method for extracting harmonic components in current signals, the method models the complex nonlinear relation characteristic of the lightning leakage current based on the BP neural network, and the understanding of the complex electrical characteristic generated by the lightning leakage current can be improved by training the neural network, so that the monitoring accuracy and reliability of the lightning leakage current are improved; meanwhile, the invention adopts the LoRa wide area low power consumption technology to transmit the lightning leakage current information, wakes up the LoRa to transmit the information periodically or after lightning occurs, can cover the transmission line in a large range, reduces the communication loss and reduces the data transmission cost; training the BP neural network to learn a mode of the lightning leakage current of the power transmission line, enabling the output of the network to approach to the actual lightning leakage current by adjusting the weight and the bias of the network, forming a power transmission line lightning leakage current detection model based on the BP neural network, extracting the lightning leakage current characteristics of the power transmission line by training and learning basic information for detecting the lightning leakage current of the power transmission line, and further realizing the accurate identification of the lightning leakage current of the power transmission line; the method is based on the LoRa and BP neural network, has the characteristics of low power consumption, wide application range, strong expandability and the like, can adapt to different power transmission line environments, and improves the monitoring capability of lightning leakage current of the power transmission line.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a system modular block diagram of the present invention;
fig. 3 is a schematic diagram of a transmission line lightning leakage current detection model based on a BP neural network in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which are obtained by a person skilled in the art based on the described embodiments of the invention, fall within the scope of protection of the invention.
As shown in fig. 1 and 3, in one embodiment of the present invention, the embodiment provides a method for monitoring lightning leakage current of a power transmission line, which is based on a LoRa-BP neural network, and includes the following steps:
S1: providing a lightning leakage current information acquisition technology of a power transmission line, wherein the lightning leakage current information acquisition technology is used for acquiring information such as current, voltage, temperature, humidity, ground potential, time, space and the like of the power transmission line as basic information for monitoring the lightning leakage current;
The lightning current is related to information such as voltage, temperature, humidity, ground potential, time and space besides current information. Current information: the lightning leakage current can cause instantaneous change of current, and current waveforms on the transmission line, including amplitude, frequency, phase and the like, need to be collected; voltage information: the influence of lightning leakage current on voltage is mainly detected, so that the voltage stability and the distortion condition of a voltage waveform of the system are judged; temperature information: lightning leakage current may cause the line or equipment to heat, and the temperature may help determine whether a potential problem exists; humidity information: the change in humidity may lead to a change in the insulation properties of the line, so monitoring the humidity helps to fully understand the environmental conditions of the lightning current leakage event; ground potential information: the lightning leakage current can cause the change of ground potential around the power transmission line, and monitoring the ground potential can help to evaluate the influence of the lightning leakage current on the surrounding environment; time information: the method can be used for accurately positioning the occurrence time of the lightning leakage current event and carrying out time sequence analysis between the events; spatial information: mainly comprises a power transmission tower, the positions of wires, the length and the type of the line, and the like. Compared with the traditional method for monitoring only collecting current information, the method provided by the invention has the advantages that the collected information is more comprehensive, and the lightning leakage current monitoring precision can be effectively improved.
In one embodiment, the basic information for lightning current leakage monitoring can be expressed as:
；
In the method, in the process of the invention, The basic information for monitoring the lightning leakage current is acquired at the moment t; /(I)For the current information of the power transmission line acquired at the moment t,/>For the power transmission line voltage information acquired at the moment t,/>For the temperature information of the power transmission line acquired at the moment t,/>For the humidity information of the power transmission line acquired at the moment t,/>For the ground potential information of the power transmission line acquired at the moment t,/>And the spatial information of the transmission line is acquired at the moment t.
S2: providing a transmission line lightning leakage current information transmission technology based on LoRa, and waking up the LoRa to transmit basic information for monitoring the lightning leakage current periodically or after lightning occurs;
because the frequency of occurrence of lightning leakage current is low, and the distribution range of the transmission line is wide, the transmission line is generally distributed in remote and trace-rare areas. Therefore, the invention adopts the LoRa wide area low power consumption technology to transmit the lightning leakage current information, wakes up the LoRa to transmit the information periodically or after the lightning occurs, can cover the transmission line in a large range, reduces the communication loss and reduces the data transmission cost.
In one embodiment, the transmission technology of the lightning leakage current information of the power transmission line based on the LoRa comprises a modulation process and a demodulation process of basic information for monitoring the lightning leakage current, and specifically comprises the following steps:
the acquired basic information for monitoring the lightning leakage current is modulated according to the formula:
；
In the method, in the process of the invention, For the basic information for monitoring the lightning leakage current acquired at the moment t,/>Is the basic information for monitoring the lightning leakage current after the modulation at the time t,/>For the signal frequency of basic information for monitoring lightning leakage current at t moment transmitted on LoRa channel,/>The phase angle of a signal transmitted on a LoRa channel by basic information for monitoring lightning leakage current at the moment t;
The modulated basic information for monitoring the lightning leakage current is transmitted, the transmission process is affected by noise, and the formula is as follows:
；
In the method, in the process of the invention, For the basic information for monitoring the lightning leakage current received by the receiving end at the moment t,/>Represents basic information/>, for monitoring lightning leakage current after modulation at time tNoise experienced during transmission;
the receiving end demodulates the received signal of the basic information for monitoring the lightning leakage current, and the formula is as follows:
；
In the method, in the process of the invention, The signal of the basic information for monitoring the lightning leakage current after demodulation of the receiving end at the moment t;
and carrying out high-filtering processing on the demodulated signal of the basic information for monitoring the lightning leakage current, wherein the formula is as follows:
；
Wherein: for the basic information for monitoring the lightning leakage current after the demodulation at the time t,/> Is a low pass filter function;
modulating and demodulating the current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line one by one according to the steps, and monitoring the demodulated basic information for lightning leakage current Expressed as:
；
In the method, in the process of the invention, For the power transmission line current information transmitted by LoRa at time t,/>For the voltage information of the power transmission line after being transmitted by LoRa at time t,/>The temperature information of the power transmission line after being transmitted by LoRa at the moment t,For the humidity information of the power transmission line after being transmitted by LoRa at time t,/>For the ground potential information of the power transmission line after LoRa transmission at time t,/>And the spatial information of the transmission line after being transmitted by LoRa at the time t.
S3: taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a test set, performing offline training on a BP neural network by using the training set, evaluating the network performance by using the test set, and establishing a power transmission line lightning leakage current detection model based on the BP neural network;
Besides being related to current information, the lightning leakage current is related to information such as voltage, temperature, humidity, ground potential, time and space, has complex nonlinear characteristics, and compared with a traditional method for extracting harmonic components in current signals, the method has the advantages that the complex nonlinear relation characteristics of the lightning leakage current are modeled based on a BP neural network, the understanding of the complex electrical characteristics generated by the lightning leakage current can be improved through training the neural network, and therefore the monitoring accuracy and reliability of the lightning leakage current are improved; the BP neural network is a counter-propagation neural network, and a mode of lightning current leakage of the power transmission line can be learned through training. The input layer of the network comprises the characteristics collected by various sensors, and the output layer is the predicted value of the lightning leakage current. And training the BP neural network by using a training set, and enabling the output of the network to approach to the actual lightning leakage current by adjusting the weight and the bias of the network to form a transmission line lightning leakage current detection model based on the BP neural network. According to the technology, the lightning leakage current characteristics of the power transmission line are extracted by learning the lightning leakage current sample data of the power transmission line, so that the accurate identification of the lightning leakage current of the power transmission line is realized.
In one embodiment, the transmission line lightning leakage current detection model based on the BP neural network comprises an input layer, an hidden layer and an output layer, and the demodulated basic information for monitoring the lightning leakage currentInput as neural network/>I is the number of layers of neural network training;
For a pair of Five-layer training is carried out, a tansig function is adopted by an hidden layer, and the output/>, of the hidden layerThe method comprises the following steps:
；
In the method, in the process of the invention, Connecting weights from an input layer to an output layer of the neural network; /(I)Is a neural network threshold,/>N is the number of hidden layer units of the neural network;
The output layer adopts purelin functions, and the output of the neural network The method comprises the following steps:
；
In the method, in the process of the invention, Connecting weights from the hidden layer units to the output layer units; k takes on the value of 1 or 2, when k=1, Y 1 indicates that there is a lightning leakage current, and when k=2, Y 2 indicates that no lightning leakage current occurs.
In a specific embodiment, a transmission line lightning leakage current detection model based on a BP neural network has the following formula:
；
In the method, in the process of the invention, Represents an mth transmission line lightning leakage current detection model based on BP neural network,/>Representing trained BP neural network,/>Connecting weights from an input layer to an output layer of the neural network; /(I)Is a neural network threshold.
S4: providing a transmission line lightning monitoring model based on a LoRa-BP neural network, and realizing monitoring of transmission line lightning leakage current under different environments;
Specifically, a connection weight and a threshold value are extracted from a trained transmission line lightning leakage current detection model based on a BP neural network, a transmission line lightning leakage current model library is constructed, and the transmission line lightning leakage current model library is updated to a system periodically; the method comprises the steps of transmitting transmission line information collected under different environments through LoRa, monitoring and analyzing the transmission line information transmitted through LoRa based on a transmission line lightning monitoring model, and giving an alarm once lightning leakage current is found.
The power transmission line lightning monitoring model based on the LoRa-BP neural network has the characteristics of low power consumption, wide application range, strong expandability and the like, and can be suitable for effectively monitoring lightning leakage current of a power transmission line without a scene.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Any process or method description in a flowchart or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process. And the scope of the preferred embodiments of the present application includes additional implementations in which functions may be performed in a substantially simultaneous manner or in an opposite order from that shown or discussed, including in accordance with the functions that are involved.
As shown in fig. 2 and 3, another embodiment of the present invention provides a lightning current leakage monitoring system for a power transmission line, based on the above-mentioned lightning current leakage monitoring method for the power transmission line, including:
The information acquisition module is used for acquiring basic information for monitoring the lightning leakage current through a lightning leakage current information acquisition technology of the power transmission line, wherein the basic information for monitoring the lightning leakage current comprises current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line;
The LoRa transmission module is used for waking up the LoRa to transmit the basic information for monitoring the lightning leakage current periodically or after lightning occurs through a transmission line lightning leakage current information transmission technology based on the LoRa;
The BP neural network module is used for taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a test set, performing offline training on the BP neural network by using the training set, evaluating the network performance by using the test set, and establishing a power transmission line lightning leakage current detection model based on the BP neural network;
And the transmission line lightning monitoring module is used for establishing a transmission line lightning monitoring model based on the LoRa-BP neural network and realizing monitoring of transmission line lightning leakage current under different environments.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, may be embodied in whole or in part in the form of a computer program product comprising one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with the present application are fully or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. Computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another.
Therefore, the embodiment of the invention also provides a power transmission line lightning leakage current monitoring device, which comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and is used for executing the power transmission line lightning leakage current monitoring method.
Embodiments of the present invention also provide a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, are adapted to carry out a process corresponding to a transmission line lightning current leakage monitoring method as described above. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
In summary, the lightning leakage current is related to the current information, and is also related to the voltage, temperature, humidity, ground potential, time and space information, and has complex nonlinear characteristics, so that the basic information for monitoring the lightning leakage current, which is collected by the invention, is more comprehensive than the information collected by the traditional method for monitoring the current information only, and the lightning leakage current monitoring precision can be effectively improved; compared with the traditional method for extracting harmonic components in current signals, the method models the complex nonlinear relation characteristic of the lightning leakage current based on the BP neural network, and the understanding of the complex electrical characteristic generated by the lightning leakage current can be improved by training the neural network, so that the monitoring accuracy and reliability of the lightning leakage current are improved; meanwhile, the invention adopts the LoRa wide area low power consumption technology to transmit the lightning leakage current information, wakes up the LoRa to transmit the information periodically or after lightning occurs, can cover the transmission line in a large range, reduces the communication loss and reduces the data transmission cost; training the BP neural network to learn a mode of the lightning leakage current of the power transmission line, enabling the output of the network to approach to the actual lightning leakage current by adjusting the weight and the bias of the network, forming a power transmission line lightning leakage current detection model based on the BP neural network, extracting the lightning leakage current characteristics of the power transmission line by training and learning basic information for detecting the lightning leakage current of the power transmission line, and further realizing the accurate identification of the lightning leakage current of the power transmission line; the method is based on the LoRa and BP neural network, has the characteristics of low power consumption, wide application range, strong expandability and the like, can adapt to different power transmission line environments, and improves the monitoring capability of lightning leakage current of the power transmission line.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that various changes and substitutions are possible within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (4)
1. The method for monitoring the lightning leakage current of the power transmission line is characterized by being based on a LoRa-BP neural network and specifically comprising the following steps of:
providing a lightning leakage current information acquisition technology of a power transmission line, wherein the lightning leakage current information acquisition technology is used for acquiring basic information for monitoring the lightning leakage current, and the basic information for monitoring the lightning leakage current comprises current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line;
the basic information for monitoring the lightning leakage current is expressed as:
；
In the method, in the process of the invention, The basic information for monitoring the lightning leakage current is acquired at the moment t; /(I)For the current information of the power transmission line acquired at the moment t,/>For the power transmission line voltage information acquired at the moment t,/>For the temperature information of the power transmission line acquired at the moment t,/>For the humidity information of the power transmission line acquired at the moment t,/>For the ground potential information of the power transmission line acquired at the moment t,/>The power transmission line space information acquired at the moment t;
providing a transmission line lightning leakage current information transmission technology based on LoRa, and waking up the LoRa to transmit the basic information for monitoring the lightning leakage current periodically or after lightning occurs;
the transmission line lightning leakage current information transmission technology based on LoRa comprises a modulation process and a demodulation process of basic information for monitoring the lightning leakage current, and specifically comprises the following steps:
the acquired basic information for monitoring the lightning leakage current is modulated according to the formula:
；
In the method, in the process of the invention, For the basic information for monitoring the lightning leakage current acquired at the moment t,/>Is the basic information for monitoring the lightning leakage current after the modulation at the time t,/>For the signal frequency of basic information for monitoring lightning leakage current at t moment transmitted on LoRa channel,/>The phase angle of a signal transmitted on a LoRa channel by basic information for monitoring lightning leakage current at the moment t;
The modulated basic information for monitoring the lightning leakage current is transmitted, the transmission process is affected by noise, and the formula is as follows:
；
In the method, in the process of the invention, For the basic information for monitoring the lightning leakage current received by the receiving end at the moment t,/>Represents basic information/>, for monitoring lightning leakage current after modulation at time tNoise experienced during transmission;
the receiving end demodulates the received signal of the basic information for monitoring the lightning leakage current, and the formula is as follows:
；
In the method, in the process of the invention, The signal of the basic information for monitoring the lightning leakage current after demodulation of the receiving end at the moment t;
and carrying out high-filtering processing on the demodulated signal of the basic information for monitoring the lightning leakage current, wherein the formula is as follows:
；
Wherein: for the basic information for monitoring the lightning leakage current after the demodulation at the time t,/> Is a low pass filter function;
modulating and demodulating the current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line one by one according to the steps, and monitoring the demodulated basic information for lightning leakage current Expressed as:
；
In the method, in the process of the invention, For the power transmission line current information transmitted by LoRa at time t,/>For the voltage information of the power transmission line after being transmitted by LoRa at time t,/>For the temperature information of the power transmission line after being transmitted by LoRa at time t,/>For the humidity information of the power transmission line after being transmitted by LoRa at time t,/>For the ground potential information of the power transmission line after LoRa transmission at time t,/>The transmission line space information is transmitted by LoRa at the time t;
Taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a test set, performing offline training on a BP neural network by using the training set, evaluating network performance by using the test set, and establishing a power transmission line lightning leakage current detection model based on the BP neural network;
The transmission line lightning leakage current detection model based on the BP neural network comprises an input layer, an hidden layer and an output layer, and the demodulated basic information for monitoring the lightning leakage current Input as neural network/>I is the number of layers of neural network training;
For a pair of Five-layer training is performed, wherein the hidden layer adopts tansig functions, and hidden layer output/>The method comprises the following steps:
；
In the method, in the process of the invention, Connecting weights from an input layer to an output layer of the neural network; /(I)Is a neural network threshold,/>N is the number of hidden layer units of the neural network;
the output layer adopts purelin functions, and the output of the neural network The method comprises the following steps:
；
In the method, in the process of the invention, Connecting weights from the hidden layer units to the output layer units; k takes on a value of 1 or 2, when k=1, Y 1 represents that lightning leakage current exists, and when k=2, Y 2 represents that no lightning leakage current occurs;
the transmission line lightning leakage current detection model based on the BP neural network has the following formula:
；
In the method, in the process of the invention, Represents an mth transmission line lightning leakage current detection model based on BP neural network,/>Representing trained BP neural network,/>Connecting weights from an input layer to an output layer of the neural network; /(I)Is a neural network threshold;
The utility model provides a transmission line thunder and lightning monitoring model based on loRa-BP neural network, realizes the monitoring to transmission line thunder and lightning leakage current under different environment, specifically does: extracting a connection weight and a threshold value from a trained transmission line lightning leakage current detection model based on the BP neural network, constructing a transmission line lightning leakage current model library, and updating the transmission line lightning leakage current model library into a system at regular intervals; and transmitting the power transmission line information acquired under different environments through the LoRa, monitoring and analyzing the power transmission line information transmitted through the LoRa based on the power transmission line lightning monitoring model, and giving an alarm once lightning leakage current is found.
2. A monitoring system for a method of monitoring lightning current leakage of a power transmission line according to claim 1, the system comprising:
the information acquisition module is used for acquiring basic information for monitoring the lightning leakage current through a lightning leakage current information acquisition technology of the power transmission line, wherein the basic information for monitoring the lightning leakage current comprises current, voltage, temperature, humidity, ground potential, time and space information of the power transmission line;
The LoRa transmission module is used for waking up the LoRa to transmit the basic information for monitoring the lightning leakage current periodically or after lightning occurs through a transmission line lightning leakage current information transmission technology based on the LoRa;
the BP neural network module is used for taking basic information for monitoring lightning leakage current based on LoRa transmission as a sample data set, dividing the basic information into a training set and a testing set, performing offline training on the BP neural network by using the training set, evaluating the network performance by using the testing set, and establishing a power transmission line lightning leakage current detection model based on the BP neural network;
And the transmission line lightning monitoring module is used for establishing a transmission line lightning monitoring model based on the LoRa-BP neural network and realizing monitoring of transmission line lightning leakage current under different environments.
3. A lightning current leakage monitoring device for a power transmission line, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by the processor, the computer program corresponding to the lightning current leakage monitoring method for a power transmission line according to claim 1.
4. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor are adapted to carry out a process corresponding to a transmission line lightning current leakage current monitoring method according to claim 1.
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