CN108008252B

CN108008252B - Power transmission line fault type diagnosis method and device

Info

Publication number: CN108008252B
Application number: CN201711226489.4A
Authority: CN
Inventors: 周恩泽; 吴昊; 田翔; 黄勇; 魏瑞增; 叶海峰; 易潇然; 罗颖婷; 杨强
Original assignee: Electric Power Research Institute of Guangdong Power Grid Co Ltd
Current assignee: Electric Power Research Institute of Guangdong Power Grid Co Ltd
Priority date: 2017-11-29
Filing date: 2017-11-29
Publication date: 2020-04-17
Anticipated expiration: 2037-11-29
Also published as: CN108008252A

Abstract

The embodiment of the invention discloses a method and a device for diagnosing fault types of a power transmission line, which solve the problems that the existing power transmission line lacks an effective means for diagnosing the wind deflection fault and the icing fault types, has poor diagnosis effect on the wind deflection fault and the icing fault types of the power transmission line and cannot reliably diagnose the fault types of the power transmission line. The invention discloses a method for diagnosing fault types of a power transmission line, which comprises the following steps: acquiring meteorological monitoring information of at least 2 meteorological monitoring sites within a preset range, and performing fine processing; establishing a power transmission line windage yaw fault diagnosis model and/or a power transmission line icing fault diagnosis model; and inputting the refined meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the refined meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

Description

Power transmission line fault type diagnosis method and device

Technical Field

The invention relates to the field of power transmission line fault diagnosis, in particular to a power transmission line fault type diagnosis method and device.

Background

The transmission lines are widely distributed, most of the lines pass through the open field and extend for hundreds of miles, and the transmission lines are easy to be tripped due to faults caused by various natural disasters. In winter and spring, the power transmission lines distributed in mountainous areas are easy to have the risk of icing; in summer and autumn, typhoon frequently occurs in coastal areas, windage yaw faults occur to lines easily, and the windage yaw can cause continuous tripping events to occur to the lines, so that the lines are not coincided successfully, if fault points cannot be found in time and fault types can not be confirmed, hidden danger risks can be eliminated, and further impact can be brought to an electric power system.

The existing power transmission line lacks an effective means for diagnosing the wind deflection and icing fault types, the diagnosis of the wind deflection and icing fault types of the power transmission line can only be identified through an image/video monitoring device, but during icing and typhoon, the online rate and the availability rate of most image/video devices are extremely low, so that the judgment of the wind deflection and icing can be further influenced, and the problems that the diagnosis effect of the power transmission line fault types is poor and the diagnosis of the power transmission line fault types cannot be reliably carried out are caused.

Disclosure of Invention

The method and the device for diagnosing the fault type of the power transmission line solve the problems that an effective means for diagnosing the wind deflection fault and the icing fault type of the existing power transmission line is lacked, the diagnosis effect on the wind deflection fault and the icing fault type of the power transmission line is poor, and the fault type of the power transmission line cannot be reliably diagnosed.

The method for diagnosing the fault type of the power transmission line provided by the embodiment of the invention comprises the following steps:

s1: acquiring the weather monitoring information of at least 2 weather monitoring sites in a preset range, and carrying out refinement processing on the acquired weather monitoring information of at least 2 weather monitoring sites in the preset range through scale reduction processing to obtain refined weather monitoring information;

s2: whether the refined meteorological monitoring information meets a windage yaw meteorological parameter range of the power transmission line in a preset historical year in a preset range when windage yaw tripping occurs and whether the refined meteorological monitoring information exceeds a maximum value of the designed wind speed of the power transmission line in the preset range to establish a power transmission line windage yaw fault diagnosis model;

and/or

Establishing a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault of the power transmission line in the preset historical year in the preset range and whether the wire tension change value of the power transmission line in the preset range exceeds the preset critical value;

s3: the method comprises the steps of determining the fault position of a power transmission line with a fault in a line double-end protection distance measuring mode, obtaining meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, carrying out fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtaining fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

Optionally, step S2 specifically includes:

s201: extracting a maximum temperature difference dT in a preset time period, a maximum pressure difference dP in the preset time period, an absolute value dD of wind direction change in the preset time period and a wind speed difference dV in the preset time period from the refined meteorological monitoring information, comparing the maximum temperature difference dT, the maximum pressure difference dP, the absolute value dD of wind direction change in the preset time period and the wind speed difference dV in the preset time period with a preset value in a windage yaw meteorological parameter range when windage yaw tripping occurs in preset historical years of the power transmission line in the preset range, and establishing a power transmission line windage fault diagnosis model by combining whether the wind speed extracted from the refined meteorological monitoring information exceeds the maximum value of the designed wind speed of the power transmission line in the preset range;

and/or

S202: and establishing a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault of the power transmission line in the preset historical year in the preset range and whether the wire tension change value of the power transmission line in the preset range exceeds the preset critical value.

Optionally, step S3 includes:

the method comprises the steps of determining the fault position of a power transmission line with a fault through traveling wave distance measurement information, obtaining meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, carrying out fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtaining fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

Optionally, step S1 specifically includes:

the method comprises the steps of obtaining real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 weather monitoring stations in a preset range, carrying out fine processing on weather monitoring information of the at least 2 weather monitoring stations in the preset range through scale reduction processing, and obtaining fine weather monitoring information.

Optionally, step S1 specifically includes:

acquiring real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 meteorological monitoring stations within a preset range;

carrying out interpolation operation on the acquired real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 weather monitoring stations in the preset range to obtain the real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data in a 3 km-3 km range which takes the weather monitoring stations as centers in the preset range;

and refining the meteorological monitoring information within a range of 3km x 3km centering on the meteorological monitoring site within the preset range through scale reduction processing to obtain refined meteorological monitoring information within a range of 1km x 1km centering on the meteorological monitoring site within the preset range.

The embodiment of the invention provides a device for diagnosing fault types of a power transmission line, which comprises:

the acquiring unit is used for acquiring the weather monitoring information of at least 2 weather monitoring sites in a preset range, and performing fine processing on the acquired weather monitoring information of at least 2 weather monitoring sites in the preset range through scale reduction processing to obtain fine weather monitoring information;

the establishing unit specifically comprises:

the first establishing subunit is used for establishing a power transmission line windage yaw fault diagnosis model according to whether the refined meteorological monitoring information meets a windage yaw meteorological parameter range of the power transmission line in a preset range when windage yaw tripping occurs in a preset historical year and whether the refined meteorological monitoring information exceeds a maximum value of the designed wind speed of the power transmission line in the preset range;

and/or

The second establishing subunit is used for establishing a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault of the power transmission line in the preset historical year in the preset range and whether the tension change value of the power transmission line lead in the preset range exceeds the preset critical value;

and the fault type diagnosis unit is used for determining the fault position of the power transmission line with the fault through line double-end protection ranging, acquiring meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, performing fine processing on the meteorological monitoring information of at least 2 meteorological monitoring sites at the obtained fault position through scale reduction processing, acquiring fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into the power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or inputting the fine meteorological monitoring information at the fault position into the power transmission line icing fault diagnosis model to obtain whether the icing fault occurs.

Optionally, the obtaining unit is specifically configured to obtain real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time barometric pressure data of at least 2 weather monitoring stations within a preset range, perform refinement processing on the obtained weather monitoring information of the at least 2 weather monitoring stations within the preset range through downscaling processing, and obtain refined weather monitoring information.

Optionally, the obtaining unit specifically includes:

the acquiring subunit is used for acquiring real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 meteorological monitoring stations in a preset range;

the operation subunit is used for carrying out interpolation operation on the acquired real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 meteorological monitoring stations in the preset range to obtain the real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data in a range of 3km to 3km with the meteorological monitoring stations as the center in the preset range;

and the processing subunit is used for carrying out fine processing on the meteorological monitoring information within a range of 3km x 3km with the meteorological monitoring station as the center within the preset range through the scale reduction processing to obtain fine meteorological monitoring information within a range of 1km x 1km with the meteorological monitoring station as the center within the preset range.

Optionally, the establishing unit specifically includes:

the first establishing subunit is specifically configured to extract a maximum temperature difference dT within a preset time period, a maximum pressure difference dP within the preset time period, an absolute value dD of a wind direction change within the preset time period, and a wind speed difference dV within the preset time period from the refined weather monitoring information, compare the maximum temperature difference dT, the maximum pressure difference dP, the absolute value dD of the wind direction change within the preset time period, and the wind speed difference dV within the preset time period with a predetermined value in a wind deviation weather parameter range when a wind deviation trip occurs in preset historical years of the power transmission line within the preset range, and establish a wind deviation fault diagnosis model in combination with whether the wind speed extracted from the refined weather monitoring information exceeds a maximum value of a designed wind speed of the power transmission line within the preset range;

and/or

And the second establishing subunit is specifically configured to establish a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault occurring in the preset historical years of the power transmission line within the preset range and whether the tension change value of the power transmission line conductor within the preset range exceeds a preset critical value.

Optionally, the fault type diagnosis unit is specifically configured to determine a fault position of the power transmission line with the fault through traveling wave ranging information, obtain meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, perform fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtain fine meteorological monitoring information at the fault position, input the fine meteorological monitoring information at the fault position into the power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or input the fine meteorological monitoring information at the fault position into the power transmission line icing fault diagnosis model to obtain whether the icing fault occurs.

According to the technical scheme, the embodiment of the invention has the following advantages:

the invention discloses a method and a device for diagnosing fault types of a power transmission line, wherein the method for diagnosing the fault types of the power transmission line comprises the following steps: acquiring the weather monitoring information of at least 2 weather monitoring sites in a preset range, and carrying out refinement processing on the acquired weather monitoring information of at least 2 weather monitoring sites in the preset range through scale reduction processing to obtain refined weather monitoring information; establishing a power transmission line windage yaw fault diagnosis model according to whether the refined meteorological monitoring information meets the range of the windage yaw meteorological parameters when the windage yaw tripping occurs in the preset historical years of the power transmission line within the preset range and whether the refined meteorological monitoring information exceeds the maximum value of the designed wind speed of the power transmission line within the preset range, and/or establishing a power transmission line icing fault diagnosis model according to whether the refined meteorological monitoring information meets the range of the icing meteorological parameters when the icing fault occurs in the preset historical years of the power transmission line within the preset range and whether the tension change value of the power transmission line conductor within the preset range exceeds the preset critical value; the method comprises the steps of determining the fault position of a power transmission line with a fault in a line double-end protection distance measuring mode, obtaining meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, carrying out fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtaining fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

In the embodiment, the finely processed weather monitoring information is obtained by acquiring the weather monitoring information of the relevant weather monitoring sites within the preset range and performing downscaling processing, so that the reliability and the accuracy of weather information data acquisition are improved; according to the refined meteorological monitoring information, whether the refined meteorological monitoring information meets the range of the meteorological parameters of the windage yaw of the power transmission line in the preset range when the windage yaw tripping occurs in the preset historical year and whether the refined meteorological monitoring information exceeds the maximum value of the designed wind speed of the power transmission line in the preset range, and/or whether the refined meteorological monitoring information meets the range of the meteorological parameters of the icing of the power transmission line in the preset range when the icing fault occurs in the preset historical year and whether the tension change value of the power transmission line wire in the preset range exceeds the preset critical value, an icing fault diagnosis model is established, the model is established to realize the generalization and conclusion of relevant fault types, and the reliability and the accuracy of diagnosis are improved; and inputting the refined meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the refined meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur, so that the problems that the existing power transmission line lacks effective means for diagnosing the types of the windage yaw faults and the icing faults and has poor diagnosis effect on the types of the windage yaw faults and the icing faults of the power transmission line and can not reliably diagnose the types of the power transmission line are solved.

Further, the fault position of the power transmission line with the fault can be determined through traveling wave distance measurement information, refined meteorological monitoring information at the fault position is input into the power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or the refined meteorological monitoring information at the fault position is input into the power transmission line icing fault diagnosis model to obtain whether the icing fault occurs. The method and the device expand the determination and monitoring of the fault position of the power transmission circuit with the fault, and improve the reliability of prediction.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.

Fig. 1 is a schematic flow chart of an embodiment of a method for diagnosing a fault type of a power transmission line;

fig. 2 is a schematic flow chart of a second embodiment of a method for diagnosing a fault type of a transmission line;

fig. 3 is a schematic flow chart of a third embodiment of a method for diagnosing a fault type of a power transmission line;

fig. 4 is a schematic structural diagram of an embodiment of a transmission line fault type diagnosis device;

fig. 5 is a schematic structural diagram of a second embodiment of a transmission line fault type diagnosis apparatus;

FIG. 6 is a schematic diagram showing the distribution of weather monitoring sites in a certain area;

fig. 7 shows real-time monitoring data of the microclimate monitoring device 1 in a certain area.

Detailed Description

In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, an embodiment of a method for diagnosing a fault type of a power transmission line according to an embodiment of the present invention includes:

101. acquiring the weather monitoring information of at least 2 weather monitoring sites in a preset range, and carrying out refinement processing on the acquired weather monitoring information of at least 2 weather monitoring sites in the preset range through scale reduction processing to obtain refined weather monitoring information;

it should be noted that, in this embodiment, the weather monitoring sites for monitoring weather information are mainly classified into three types: national weather station, automatic weather station and microclimate monitoring devices, as shown in fig. 6, white point department is the distribution of some regional weather monitoring station in the picture, wherein national weather station and automatic weather station belong to the meteorological department, and microclimate monitoring devices mainly installs on the line tower, like the electric wire netting in guangdong region, microclimate monitoring devices mainly installs on the transmission tower that coastal I, II type wind district belongs to. The meteorological monitoring device mainly transmits monitoring data back to a system main station through a GPRS network or a cable by monitoring wind speed, wind direction, temperature, humidity, rainfall and air pressure information at the cross arm of a line tower, and then analyzes and monitors information such as maximum wind speed and 10-minute average wind speed through the main station.

102. Establishing a power transmission line windage yaw fault diagnosis model according to whether the refined meteorological monitoring information meets a windage yaw meteorological parameter range of the power transmission line in a preset historical year within a preset range when windage yaw tripping occurs and whether the refined meteorological monitoring information exceeds a maximum value of the designed wind speed of the power transmission line within the preset range;

and/or

103. Establishing a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault of the power transmission line in the preset historical year in the preset range and whether the wire tension change value of the power transmission line in the preset range exceeds the preset critical value;

it should be noted that, for the establishment of the diagnosis model of the windage yaw fault of the power transmission line, the windage yaw meteorological parameter range when the windage yaw tripping occurs in the preset historical year of the power transmission line in the preset range and whether the windage yaw meteorological parameter range exceeds the maximum value of the designed wind speed of the power transmission line in the preset range are combined, and if the windage yaw meteorological parameter range exceeds the maximum value of the designed wind speed of the power transmission line in the preset range, the windage yaw fault of the power transmission line can; for the establishment of the power transmission line icing fault diagnosis model, the icing meteorological parameter range when the icing fault occurs in the preset historical years of the power transmission line in the preset range and whether the tension change value of the power transmission line conductor in the preset range exceeds the preset critical value are combined, and if the meteorological monitoring information in the preset range reaches the preset meteorological parameter range when the icing fault occurs in the historical years and the tension change value of the power transmission line conductor exceeds the preset critical value, the icing fault of the power transmission line can be determined.

104. The method comprises the steps of determining the fault position of a power transmission line with a fault in a line double-end protection distance measuring mode, obtaining meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, carrying out fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtaining fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

It should be noted that line double-end protection ranging is the existing technology and can be used to determine the position of a failed transmission line; and obtaining refined meteorological monitoring information by obtaining the meteorological monitoring information of the meteorological monitoring station at the fault position and carrying out downscaling processing.

The foregoing embodiment provides a description of a complete process of a power transmission line fault diagnosis method, and the following embodiment further describes a power transmission line fault diagnosis method based on a refined processing of meteorological monitoring information, and referring to fig. 2, a second embodiment of the power transmission line fault type diagnosis method provided by the embodiment of the present invention includes:

201. acquiring real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 meteorological monitoring stations within a preset range;

refining the meteorological monitoring information within a range of 3km x 3km centering on a meteorological monitoring site within a preset range through scale reduction processing to obtain refined meteorological monitoring information within a range of 1km x 1km centering on the meteorological monitoring site within the preset range;

it should be noted that, the interpolation operation of the real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time barometric data is performed by using the existing mesoscale Weather forecast mode wrf (the Weather Research and forecasting model); the scale reduction processing is to use an meteorological field with the WRF resolution ratio of 3km as an initial meteorological field of CALMET through a CALMET mode to carry out fine diagnosis on a wind field, a temperature field, a humidity field, an atmospheric pressure field and the like of the whole area, wherein the grid distance is 1000m, the grid distance is vertically divided into 10 layers, the lowest layer is 10m height (AGL) above the ground, fine meteorological environment information such as temperature, humidity, wind speed, wind direction and air pressure in a grid with the 1km or 1km of the area is obtained, and a foundation is laid for subsequent grid diagnosis.

202. Extracting a maximum temperature difference dT in a preset time period, a maximum pressure difference dP in the preset time period, an absolute value dD of wind direction change in the preset time period and a wind speed difference dV in the preset time period from the refined meteorological monitoring information, comparing the maximum temperature difference dT, the maximum pressure difference dP, the absolute value dD of wind direction change in the preset time period and the wind speed difference dV in the preset time period with a preset value in a wind deviation meteorological parameter range when wind deviation tripping occurs in preset historical years of the power transmission line in the preset range, and establishing a power transmission line wind deviation fault diagnosis model by combining whether the wind speed extracted from the refined meteorological monitoring information exceeds the maximum value of the designed wind speed of the power transmission line in the preset range;

and/or

203. Establishing a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault of the power transmission line in the preset historical year in the preset range and whether the wire tension change value of the power transmission line in the preset range exceeds the preset critical value;

it should be noted that, the power transmission line windage yaw fault diagnosis model analyzes and screens key influence factors through analyzing influences of a power transmission line windage yaw occurrence mechanism and meteorological conditions on line windage yaw tripping according to meteorological monitoring data, line design parameter data and statistical data of a tower type area with windage yaw tripping occurrence year after year, and constructs a power transmission line windage yaw fault diagnosis model, wherein the criteria are as shown in the following table 1:

table 1: windage yaw fault diagnosis model criterion

Wherein dT represents the maximum temperature difference over two hours, dT ═ max (T (n +1) -T (n), T (n +2) -T (n)); dP represents the maximum differential pressure in two hours, dP ═ max (P (n +1) -P (n), P (n +2) -P (n)); dD represents an absolute value of a change in wind direction within 1 hour, [ D (n +1) -D (n) ]; dV represents the difference in wind speed in 1 hour, dV ═ V (n +1) -V (n).

When the temperature difference dT is less than or equal to minus 6 ℃, the air pressure difference dP is more than or equal to 6hpa, the wind direction difference dD is more than or equal to 90 degrees, V (n +1) > 30m/s and dV is more than 10m/s, the windage yaw probability of the circuit is judged to be 90 percent; and comprehensively judging the tripping of the line due to windage yaw faults by combining the condition that the wind speed of the gas image in the 1 km-1 km gridding of the line exceeds the designed wind speed of the line.

204. The method comprises the steps of determining the fault position of a power transmission line with a fault in a line double-end protection distance measuring mode, obtaining meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, carrying out fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtaining fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

The second embodiment of the method for diagnosing the fault type of the power transmission line further defines the refining processing of the meteorological monitoring information and further defines the windage yaw fault diagnosis model and/or the icing fault diagnosis model of the power transmission line, and a third embodiment is described below, and a method for judging the position of the power transmission line with the fault is replaced. Referring to fig. 3, a third embodiment of the method for diagnosing a fault type of a power transmission line according to the embodiment of the present invention includes:

301. acquiring real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 meteorological monitoring stations within a preset range;

302. Extracting a maximum temperature difference dT in a preset time period, a maximum pressure difference dP in the preset time period, an absolute value dD of wind direction change in the preset time period and a wind speed difference dV in the preset time period from the refined meteorological monitoring information, comparing the maximum temperature difference dT, the maximum pressure difference dP, the absolute value dD of wind direction change in the preset time period and the wind speed difference dV in the preset time period with a preset value in a wind deviation meteorological parameter range when wind deviation tripping occurs in preset historical years of the power transmission line in the preset range, and establishing a power transmission line wind deviation fault diagnosis model by combining whether the wind speed extracted from the refined meteorological monitoring information exceeds the maximum value of the designed wind speed of the power transmission line in the preset range;

and/or

303. Establishing a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault of the power transmission line in the preset historical year in the preset range and whether the wire tension change value of the power transmission line in the preset range exceeds the preset critical value;

it should be noted that the power transmission line windage yaw fault diagnosis model analyzes and screens key influence factors through analyzing influences of a power transmission line windage yaw occurrence mechanism and meteorological conditions on line windage yaw tripping according to meteorological monitoring data of an area where a tower type prone to windage yaw is located, line design parameter data and statistical data of the windage yaw tripping occurring in the past year, and constructs the power transmission line windage yaw fault diagnosis model, wherein the criterion is shown in table 1.

304. The method comprises the steps of determining the fault position of a power transmission line with a fault through traveling wave ranging information, obtaining meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, carrying out fine processing on the obtained meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, obtaining fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw faults occur and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing faults occur.

It should be noted that the determination of the fault position of the power transmission line with the fault by the traveling wave ranging information is prior art, and can be used to determine the position of the power transmission line with the fault; and obtaining refined meteorological monitoring information by obtaining the meteorological monitoring information of the meteorological monitoring station at the fault position and carrying out downscaling processing.

Referring to fig. 4, an embodiment of a power transmission line fault type diagnosis apparatus provided in the embodiment of the present invention includes:

the acquiring unit 401 is configured to acquire weather monitoring information of at least 2 weather monitoring stations within a preset range, perform refinement processing on the acquired weather monitoring information of at least 2 weather monitoring stations within the preset range through scale reduction processing, and acquire refined weather monitoring information;

The establishing unit 402 specifically includes:

the first establishing subunit 4021 is configured to establish a power transmission line windage yaw fault diagnosis model by determining whether the refined weather monitoring information meets a windage yaw meteorological parameter range of the power transmission line in a preset range when windage yaw tripping occurs in a preset historical year and whether the refined weather monitoring information exceeds a maximum value of a power transmission line design wind speed in the preset range;

and/or

A second establishing subunit 4022, configured to establish a power transmission line icing fault diagnosis model based on the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault occurring in the preset historical year of the power transmission line within the preset range and whether the wire tension variation value of the power transmission line within the preset range exceeds a preset critical value;

The fault type diagnosis unit 403 is configured to determine a fault position of the power transmission line with the fault through line double-end protection ranging, acquire meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, perform refinement processing on the acquired meteorological monitoring information of the at least 2 meteorological monitoring sites at the fault position through scale reduction processing, acquire refined meteorological monitoring information at the fault position, input the refined meteorological monitoring information at the fault position into the power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or input the refined meteorological monitoring information at the fault position into the power transmission line icing fault diagnosis model to obtain whether the icing fault occurs.

In this embodiment, the reliability and accuracy of weather information data acquisition are improved by acquiring the weather monitoring information of the relevant weather monitoring station in the preset range through the acquisition unit 401; a first establishing subunit 4021 is established according to whether the refined weather monitoring information meets the wind deviation weather parameter range when the wind deviation tripping occurs in the preset historical year of the power transmission line in the preset range and whether the wind deviation weather parameter range exceeds the designed wind speed maximum value of the power transmission line in the preset range or not, and/or a second establishing subunit 4022 is established according to whether the refined weather monitoring information meets the ice coating weather parameter range when the ice coating fault occurs in the preset historical year of the power transmission line in the preset range or not and whether the tension change value of the power transmission line lead in the preset range exceeds the preset critical value or not, and the model is established to realize the summary induction of relevant fault types, so that the reliability and the accuracy of diagnosis are improved; and the fault type diagnosis unit 403 inputs the refined meteorological monitoring information at the fault position into the power transmission line windage yaw fault diagnosis model to obtain whether windage yaw fault occurs and/or inputs the refined meteorological monitoring information at the fault position into the power transmission line icing fault diagnosis model to obtain whether icing fault occurs, so that the problems that the existing power transmission line lacks effective means for diagnosing the types of the windage yaw fault and the icing fault and has poor diagnosis effect on the types of the windage yaw fault and the icing fault of the power transmission line and the fault type of the power transmission line cannot be diagnosed reliably are solved.

The foregoing embodiment discloses a power transmission line fault type diagnosis apparatus, and the following discloses an implementation of further refining an acquisition unit, please refer to fig. 5, and another embodiment of the power transmission line fault type diagnosis apparatus provided in the embodiment of the present invention includes:

the obtaining unit 501 specifically includes:

the acquiring subunit 5011 is configured to acquire real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 weather monitoring stations within a preset range;

the operation subunit 5012 is configured to perform interpolation operation on the acquired real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 weather monitoring stations within the preset range to obtain real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data within a range of 3km × 3km with the weather monitoring stations as centers within the preset range;

the processing subunit 5013 is configured to perform refinement processing on the weather monitoring information within a range of 3km × 3km with the weather monitoring station as a center within the preset range through scale reduction processing, so as to obtain refined weather monitoring information within a range of 1km × 1km with the weather monitoring station as a center within the preset range.

The establishing unit 502 specifically includes:

a first establishing subunit 5021, configured to extract a maximum temperature difference dT within a preset time period, a maximum pressure difference dP within the preset time period, an absolute value dD of a wind direction change within the preset time period, and a wind speed difference dV within the preset time period from the refined weather monitoring information, compare the maximum temperature difference dT, the maximum pressure difference dP, the absolute value dD of the wind direction change within the preset time period, and the wind speed difference dV within the preset time period with a predetermined value in a wind deviation weather parameter range when a wind deviation trip occurs in preset historical years of the power transmission line within the preset range, and establish a wind deviation fault diagnosis model in combination with whether a wind speed extracted from the refined weather monitoring information exceeds a maximum value of a designed wind speed of the power transmission line within the preset range;

and/or

A second establishing subunit 5022, configured to establish a power transmission line icing fault diagnosis model according to whether the refined weather monitoring information meets the icing weather parameter range when the icing fault occurs in the preset historical year of the power transmission line within the preset range and whether the tension change value of the power transmission line conductor within the preset range exceeds a preset critical value;

The fault type diagnosis unit 503 is configured to determine a fault position of the power transmission line with the fault through line double-end protection ranging, acquire meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, perform refinement processing on the acquired meteorological monitoring information of the at least 2 meteorological monitoring sites at the fault position through scale reduction processing, acquire refined meteorological monitoring information at the fault position, input the refined meteorological monitoring information at the fault position into the power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or input the refined meteorological monitoring information at the fault position into the power transmission line icing fault diagnosis model to obtain whether the icing fault occurs.

In the embodiment, the real-time weather monitoring information of the weather monitoring station is acquired through the acquiring subunit 5011, the interpolation operation is performed on the weather monitoring information through the operation subunit 5012, and the weather monitoring information is subjected to fine processing through the processing subunit 5013, so that the reliability and the accuracy of weather information data acquisition are improved; a first establishing subunit 5021 is established according to whether the refined weather monitoring information meets the wind deviation weather parameter range when the wind deviation tripping occurs in the preset historical years of the power transmission line in the preset range and whether the wind deviation weather parameter range exceeds the designed wind speed maximum value of the power transmission line in the preset range or not, and/or a second establishing subunit 5022 is established according to whether the refined weather monitoring information meets the ice coating weather parameter range when the ice coating fault occurs in the preset historical years of the power transmission line in the preset range and whether the tension change value of the power transmission line conductor in the preset range exceeds the preset critical value or not, the general induction of relevant fault types is realized through the establishment of the model, and the reliability and the accuracy of diagnosis are improved; and the fault type diagnosis unit 503 inputs the refined meteorological monitoring information at the fault position into the power transmission line windage yaw fault diagnosis model to obtain whether windage yaw fault occurs and/or inputs the refined meteorological monitoring information at the fault position into the power transmission line icing fault diagnosis model to obtain whether icing fault occurs, so that the problems that the existing power transmission line lacks effective means for diagnosing the types of the windage yaw fault and the icing fault and has poor diagnosis effect on the types of the windage yaw fault and the icing fault of the power transmission line and the fault type of the power transmission line cannot be diagnosed reliably are solved.

With reference to table 1, table 2, fig. 6 and fig. 7, the following description is given with a specific application example:

in the application example, the research object is a case of trip of an accident of a first line in a certain area caused by the influence of typhoon on a power grid in the certain area.

Monitoring information such as the temperature, the humidity, the wind speed, the wind direction, the rainfall, the air pressure and the like of the area is obtained through information of various meteorological monitoring stations, monitoring data of various meteorological monitoring devices are shown in the following table 2, real-time monitoring wind speed data of a microclimate monitoring device 1 is shown in a figure 7,

TABLE 2 various weather monitoring device monitoring data

For the obtained meteorological information, interpolating by using the existing mesoscale weather Forecasting mode WRF (the weather research and Forecasting model) to obtain a certain area 3km x 3km wind field, a temperature field, a humidity field and an air pressure field, taking the weather field with the WRF resolution of 3km as an initial weather field of CALMET through a CALMET mode, and carrying out fine processing on the wind field, the temperature field, the humidity field, the air pressure field and the like in the whole area to obtain fine meteorological environment information such as temperature, humidity, wind speed, air pressure and the like in a certain area 1km x 1km grid;

for the diagnosis of windage yaw faults, a 220kV certain area first line is subjected to 5 times of continuous tripping respectively at 9:41, 10:02, 10:51, 11:49 and 12:51, all the faults are A-phase faults, and the accurate fault distance measurement shows that a fault tower is positioned on a tower number N15 of the certain area first line.

Obtaining meteorological information of a 220kV certain area A line N15 according to the temperature, the wind speed, the wind direction and the air pressure value in 1km by 1km meteorological grid: the maximum temperature difference dT within two hours is equal to or more than-10 ℃ and equal to or more than-8 ℃, the maximum air pressure difference dP within two hours is equal to or more than 10hpa and equal to or more than 5hpa, the absolute value dD of the wind direction change within 1 hour is equal to or more than 120 °, the wind speed difference dV within 1 hour is equal to or more than 15m/s and more than 10m/s, V (n +1) is equal to or more than 41.7m/s and more than 28m/s, the windage fault diagnosis criterion is met, and the windage probability of a line is 90%.

According to the 1 km-1 km gridding meteorological wind speed display, at the fault moment, the maximum value of the average wind speed per 10min measured by a micrometeorological monitoring device of a regional first line N15 is 26.3m/s, and the maximum instantaneous wind speed reaches 41.7 m/s. And the first line of a certain area of 220kV is a line designed according to early design specifications, the design basic wind speed value is 35m/s, and the design value is smaller than the maximum instantaneous wind speed.

And (4) comprehensively judging the wind deviation fault trip of the line by integrating the wind deviation fault criterion and the meteorological wind speed exceeding the designed wind speed of the line.

For the judgment of ice coating fault in the region, the ice coating condition of the line is comprehensively judged by extracting meteorological information in the region of 1km x 1km where each base tower is positioned, the meteorological conditions of ice coating of the line in the region in recent years are analyzed, and the related meteorological conditions of ice coating of the region are summarized and summarized, for example, a certain region: the daily average temperature is-5.0-0.90 ℃, the daily maximum temperature is-3.8-4.8 ℃, the daily minimum temperature is-6.0-1.0 ℃, the daily average relative humidity is 94-00%, the daily average precipitation is 0.0-16.9 mm, the daily average evaporation capacity is 0.0-5.3 mm, and the daily average wind speed is 1.3-8.3 m/s.

Precipitation in winter and early spring is mainly rain and snow, and if the precipitation has enough freezing temperature conditions and proper wind speed conditions, the small rain is easy to form rime, so that the lower the temperature is, the larger the freezing degree is, and the larger the ice coating thickness is during the day precipitation and the sufficient time. And when the 1 km-1 km area of the line meets the meteorological conditions and the tension change value dT of the wire is more than 20%, judging that the wire has an ice coating fault.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method for diagnosing fault types of a power transmission line is characterized by comprising the following steps:

and/or

s3: determining the fault position of the power transmission line with the fault in a line double-end protection distance measuring mode, acquiring meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, performing fine processing on the meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, acquiring fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether the icing fault occurs;

step S2 specifically includes:

and/or

2. The method according to claim 1,

step S3 includes:

3. The method according to claim 1, wherein the step S1 specifically includes:

4. The method according to claim 3, wherein the step S1 specifically includes:

5. A transmission line fault type diagnostic device, characterized by comprising:

the establishing unit specifically comprises:

and/or

the fault type diagnosis unit is used for determining the fault position of the power transmission line with the fault through line double-end protection ranging, acquiring meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, performing fine processing on the meteorological monitoring information of at least 2 meteorological monitoring sites at the obtained fault position through scale reduction processing, acquiring fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether windage yaw fault occurs and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether icing fault occurs;

and/or

The second establishing subunit is specifically configured to establish a power transmission line icing fault diagnosis model according to the icing meteorological parameter range when the refined meteorological monitoring information meets the icing fault occurring in the preset historical years of the power transmission line within the preset range and whether the power transmission line wire tension variation value within the preset range exceeds a preset critical value.

6. The transmission line fault type diagnosis device according to claim 5,

the acquiring unit is specifically used for acquiring real-time temperature, real-time humidity, real-time wind speed, real-time wind direction, real-time rainfall and real-time air pressure data of at least 2 weather monitoring stations in a preset range, and performing fine processing on the obtained weather monitoring information of the at least 2 weather monitoring stations in the preset range through scale reduction processing to obtain fine weather monitoring information.

7. The transmission line fault type diagnosis device according to claim 6,

the acquiring unit specifically includes:

8. The transmission line fault type diagnosis device according to claim 5,

the fault type diagnosis unit is specifically used for determining the fault position of the power transmission line with the fault through traveling wave distance measurement information, acquiring meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position, performing fine processing on the meteorological monitoring information of at least 2 meteorological monitoring sites at the fault position through scale reduction processing, acquiring fine meteorological monitoring information at the fault position, inputting the fine meteorological monitoring information at the fault position into a power transmission line windage yaw fault diagnosis model to obtain whether the windage yaw fault occurs and/or inputting the fine meteorological monitoring information at the fault position into a power transmission line icing fault diagnosis model to obtain whether the icing fault occurs.