CN218071110U - Power transmission line dynamic capacity increasing system based on statistical weather - Google Patents

Power transmission line dynamic capacity increasing system based on statistical weather Download PDF

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CN218071110U
CN218071110U CN202222497169.5U CN202222497169U CN218071110U CN 218071110 U CN218071110 U CN 218071110U CN 202222497169 U CN202222497169 U CN 202222497169U CN 218071110 U CN218071110 U CN 218071110U
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transmission line
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receiving port
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马琳
付静
倪康婷
李红云
李云鹏
王兴勋
赵玉芳
茹立鹏
康彦平
朱瑾
武玉龙
于磊
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Beijing Guowang Fuda Technology Development Co Ltd
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Abstract

The utility model provides a transmission line developments increase-volume system based on statistics meteorological, relate to power technology and statistics meteorological application. The system comprises: the system comprises a data acquisition device, a data receiving port and a mobile terminal; the data acquisition device is arranged on the target power transmission line; the data acquisition device is connected with the mobile terminal through a data receiving port; the data receiving port comprises a meteorological data receiving port and a line data receiving port; the method comprises the steps that a data acquisition device acquires line data of a target power transmission line at the current moment; a line data receiving port receives line data; a meteorological data receiving port receives historical meteorological data of an area where a target power transmission line is located; the historical meteorological data comprises historical meteorological monitoring data in a historical time period; the mobile terminal receives the line data and the historical meteorological data and determines the current-carrying capacity of the target power transmission line at the current moment; the utility model discloses can improve the current-carrying capacity accuracy, and then improve the accuracy that increases distribution capacity.

Description

Power transmission line dynamic capacity increasing system based on statistical weather
Technical Field
The utility model relates to an electric power technology especially relates to a transmission line developments increase-volume system based on statistics meteorological weather with statistics meteorological application.
Background
Due to the continuous and rapid increase of economy and the subsequent rapid increase of power consumption, the power transmission situation of the power grid becomes severe day by day. In economically developed areas with short land and high buildings, newly built transmission lines have the problems of long construction period, large investment and high implementation difficulty. In addition, the transmission capacity of the existing line is more strictly limited, and the contradiction between the electric energy transmission and the power utilization requirements often exists. Therefore, when the construction of the smart power grid is accelerated, how to improve the transmission capacity of the existing power transmission line is also very significant to the improvement of the safe, economic and reliable operation of the power grid.
At present, a dynamic capacity increasing technology of a power transmission line is mainly combined with an online monitoring technology of the power transmission line, so that a dynamic capacity increasing and online monitoring system of the power transmission line load is realized, and the transmission capacity (current-carrying capacity) of the power transmission line is further improved. However, due to the limitation of hardware technologies such as sensors and power supplies in the on-line monitoring device at the present stage, the collected on-line monitoring data has the problem of low accuracy and reliability, so that the current-carrying capacity is calculated by only depending on the on-line monitoring data, and because the quantity and types of the data are very small, an accurate basis cannot be provided for the staff to adjust the power transmission line, and further, the staff cannot accurately adjust the power distribution capacity. In addition, in the stage of designing the power transmission line, the capacity limit of the line is calculated, designers neglect the meteorological difference of local regions and adopt the same severe meteorological standard, so that the design value of the capacity limit of the line and the actual operation limit of the line may have certain difference.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing a transmission line developments increase-volume system based on statistics is meteorological to improve the current-carrying capacity accuracy, and then improve the accuracy that increases distribution capacity.
In order to achieve the above object, the utility model provides a following scheme:
a transmission line dynamic capacity increasing system based on statistical weather, the system comprises: the system comprises a data acquisition device, a data receiving port and a mobile terminal;
the data acquisition device is arranged on the target power transmission line; the data acquisition device is connected with the mobile terminal through the data receiving port;
the data receiving port comprises a meteorological data receiving port and a line data receiving port;
the data acquisition device is used for acquiring the line data of the target power transmission line at the current moment; the line data includes: meteorological monitoring data, lead temperature, lead sag, lead current and line operation data;
the line data receiving port is used for receiving line data;
the meteorological data receiving port is used for receiving historical meteorological data of the area where the target power transmission line is located; the historical meteorological data comprises historical meteorological monitoring data in a historical time period;
the mobile terminal is used for receiving the line data and the historical meteorological data and determining the current-carrying capacity of the target power transmission line at the current moment; and the current capacity at the current moment is used for adjusting the capacity of the target power transmission line at the current moment by a scheduling worker.
Optionally, the system further comprises: a data transmission device;
the data transmission device is respectively connected with the data acquisition device and the data receiving port; the data transmission device is used for transmitting the line data to the line data receiving port; the data transmission device is also used for transmitting the historical meteorological data to the meteorological data receiving port.
Optionally, the system further comprises: monitoring an alarm device;
the monitoring alarm device is connected with the mobile terminal; and the monitoring alarm device is used for sending out an early warning signal according to the line data.
Optionally, the data acquisition device comprises: a meteorological monitor, a lead temperature monitor, a lead sag monitor, a lead current monitor and a line operation monitor;
the weather monitor, the lead temperature monitor, the lead sag monitor, the lead current monitor, and the line operation monitor are all disposed on the target power transmission line.
Optionally, the data transmission apparatus includes: VPN private line, switch and firewall;
the VPN special line is connected with the data acquisition device; the switch is connected with the VPN private line; the firewall is connected with the switch.
Optionally, the monitoring and warning device includes: a wire temperature alarm and a wire sag alarm;
the wire temperature alarm and the wire sag alarm are both connected with the mobile terminal;
the wire temperature alarm is used for sending out a first early warning signal when the wire temperature exceeds a set temperature range;
the wire sag alarm is used for sending out a second early warning signal when the wire sag exceeds a set distance range.
Optionally, the monitoring and warning device further includes: a display;
the display is connected with the mobile terminal; the display is used for displaying the line data and the historical meteorological data.
According to the utility model provides a concrete embodiment, the utility model discloses a following technological effect:
the utility model provides a transmission line dynamic capacity increasing system based on statistical weather, a data acquisition device is arranged on a target transmission line to acquire the line data of the target transmission line at the current moment; the data acquisition device is connected with the mobile terminal through a data receiving port; the data receiving port comprises a meteorological data receiving port and a line data receiving port; the line data receiving port receives line data; a meteorological data receiving port receives historical meteorological data of an area where a target power transmission line is located; and receiving the line data and the historical meteorological data through the mobile terminal, and determining the current carrying capacity of the target line at the current moment. The utility model discloses a meteorological data receiving port and line data receiving port are connected with mobile terminal, provide line data and historical meteorological data for mobile terminal, have increased data type and quantity to can avoid being few because of the data volume, the problem that the transmission line current-carrying capacity accuracy that can't guarantee that the data accuracy appears is low, thereby provide accurate foundation for the staff increases distribution capacity, consequently, the utility model discloses can improve the current-carrying capacity accuracy, and then improve distribution capacity's accuracy.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments 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 labor.
Fig. 1 is the embodiment of the utility model provides a transmission line developments increase-volume system's structure chart based on statistics meteorological.
Description of the symbols:
the system comprises a data acquisition device-1, a data receiving port-2, a mobile terminal-3, a meteorological data receiving port-4, a line data receiving port-5 and a data transmission device-6.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
The utility model aims at providing a transmission line developments increase-volume system based on statistics meteorological, data acquisition device sets up on the target transmission line, acquires the circuit data of target transmission line at the present moment; the data acquisition device is connected with the mobile terminal through the data receiving port; the data receiving port comprises a meteorological data receiving port and a line data receiving port; the line data receiving port receives line data; a meteorological data receiving port receives historical meteorological data of an area where a target power transmission line is located; and then, receiving the line data and the historical meteorological data through the mobile terminal, and determining the current carrying capacity of the target line at the current moment. The utility model discloses a meteorological data receiving port and line data receiving port are connected with mobile terminal, provide line data and historical meteorological data for mobile terminal, have increased data type and quantity to can avoid being few because of the data volume, the problem that the transmission line current-carrying capacity accuracy that can't guarantee that the data accuracy appears is low, thereby provide accurate foundation for the staff increases distribution capacity, consequently, the utility model discloses can improve the current-carrying capacity accuracy, and then improve distribution capacity's accuracy.
In order to make the aforementioned objects, features and advantages of the present invention more comprehensible, the present invention is described in detail with reference to the accompanying drawings and the following detailed description.
As shown in fig. 1, the embodiment of the utility model provides a transmission line developments increase capacity system based on statistics meteorological phenomena, this system includes: the system comprises a data acquisition device 1, a data receiving port 2 and a mobile terminal 3.
The data acquisition device 1 is arranged on a target power transmission line; the data acquisition device 1 is connected with the mobile terminal 3 through the data receiving port 2. The data receiving port 2 includes a meteorological data receiving port 4 and a line data receiving port 5.
The data acquisition device 1 is used for acquiring line data of a target power transmission line at the current moment; the line data includes: meteorological monitoring data, wire temperature, wire sag, wire current, and line operation data; the line data receiving port 5 is used to receive line data.
The data acquisition apparatus 1 includes: a meteorological monitor, a lead temperature monitor, a lead sag monitor, a lead current monitor and a line operation monitor;
the meteorological monitor, the lead temperature monitor, the lead sag monitor, the lead current monitor and the line operation monitor are all arranged on a target power transmission line.
The line data further includes: the identification corresponding to the data acquisition device 1, the identification of the acquired equipment and the acquisition time.
The meteorological monitoring data can be microclimate monitoring data such as the ambient temperature of the target power transmission line, the average wind speed and the average wind direction (such as the average wind speed of ten minutes and the average wind direction of ten minutes) within a set time length, the light radiation intensity and the like. The wire temperature may include a first wire temperature and a second wire temperature; the conductor sag may also include data such as conductor-to-ground distance.
The line operating data includes: real-time current delivery, real-time voltage delivery, real-time active power delivery, load factor delivery, and the like.
The meteorological data receiving port 4 is used for receiving historical meteorological data of the area where the target power transmission line is located; the historical weather data comprises historical weather monitoring data in a historical time period.
The historical meteorological data refers to historical meteorological monitoring data prior to the current time. For example, the data may be the maximum air temperature, the minimum air temperature, the average air temperature, the minimum wind speed, the maximum wind speed, the average wind speed, and the like of each month in each quarter of the region where the target power transmission line is located in the last 50 years.
The mobile terminal 3 is used for receiving the line data and the historical meteorological data and determining the current-carrying capacity of the target power transmission line at the current moment; and the current capacity at the current moment is used for adjusting the capacity of the target power transmission line at the current moment by the scheduling personnel.
Specifically, the staff can distinguish the received line data and the historical meteorological data according to the working experience of the staff, and the current-carrying capacity of the target line at the current moment is obtained.
In addition, the determination of the carrying capacity can also be obtained by calculating by using a calculation method in the prior art. The prior art discloses carrying capacity calculations based on a single type of data (e.g. line data); the method of calculating ampacity from a single type of data and multiple types of data (line data combined with historical meteorological data) is similar to the calculation method described above, such as: according to a Mogan current-carrying capacity simplified empirical calculation formula, the maximum current-carrying capacity of the target power transmission line is calculated respectively according to line data and historical meteorological data (including statistical meteorological data and severe meteorological data).
The line data may be air temperature, wind speed, wind direction, and light radiation intensity; the statistical meteorological data can be statistical meteorological data of the highest temperature in the month, the minimum wind speed in the month and the wind direction of the vertical lineCalculating a light radiation intensity value by a light radiation intensity empirical formula under the IEEE Std738-2006 standard; the severe meteorological data can be temperature of 40 deg.C, wind speed of 0.5m/s, wind direction perpendicular to the linear direction, and light radiation intensity of 1000W/m 2
And then comparing the calculation result with real-time line operation data and conductor current of a target power transmission line, optimizing and displaying specific calculation parameters of the Morgan current-carrying capacity simplified empirical calculation formula, and dynamically displaying the calculation result by using a web browser so as to provide a dynamic capacity increase basis for scheduling personnel.
The simplified empirical formula of the molar root carrying capacity is as follows:
when the transmission line and the outside do not change, the system reaches steady state balance, then there are:
Q c +Q r =Q s +I 2 R T
Figure BDA0003855784730000061
Q r =πεSD[(θ+t a +273) 4 -(t a +273) 4 ];
Q s =a s I s D;
Figure BDA0003855784730000062
wherein Q c For the convective heat dissipation of the conductors of the transmission line, Q r For radiation heat dissipation of the conductors of the transmission line, Q s For the solar heat absorption of the conductor of the transmission line, R T Is the alternating current resistance value of the wire of the power transmission line, I is the wire current of the power transmission line, theta is the current-carrying temperature rise of the wire,
Figure BDA0003855784730000063
is the absolute value of the included angle between the wind direction and the wire, V is the wind speed, D is the outer diameter of the wire, epsilon is the radiation coefficient of the surface of the wire (the new bright line is 0.23-0.46), S is Stefin-packageThe coefficient of the Alzheimer's disease. S =5.67 × 10 -8 W/m2。
a s The heat absorption coefficient of the wire is 0.23-0.46 of the bright new line and 0.90-0.95 of the blackened old line.
I s Intensity of sunlight on the wire, t α The wire temperature.
R T =βR d
R d =R 20 [1+α(T c -20)];
Wherein beta is the AC resistance ratio, R d Is a direct current resistance. R 20 Is the direct current resistance of the wire at 20 ℃, alpha is the temperature coefficient of the wire, T c Is the current wire temperature. The AC resistance ratios of the conductors at different temperatures can be obtained by looking up the data.
When the current value of the transmission line changes, before the steady state is reached, the temperature of the wire is a dynamic change process, and the change rule is expressed by a transient equation:
Figure BDA0003855784730000064
m is the mass of the wire per unit length, C p Is the comprehensive heat capacity coefficient of the lead, A is the heat area calculated on the surface of the lead per unit length, T 0 The temperature of the wire before the current value is changed;
and (3) performing item shifting on the transient equation to obtain:
Figure BDA0003855784730000071
the equation is a standard one-dimensional linear differential equation, the solution of which is
Figure BDA0003855784730000072
e is an exponential function with e as the base; when the t =0, the signal is transmitted,
Figure BDA0003855784730000073
Figure BDA0003855784730000074
when the line transitions, the transient equation may be:
Figure BDA0003855784730000075
when the current capacity is suddenly changed to a certain value from the current value, the current capacity after sudden change is substituted, the temperature-time curve is recorded, and the required time can be calculated.
Empirical formula of light radiation intensity under IEEE standard:
Figure BDA0003855784730000076
H c =arcsin(cosL at ×cosδ×cosω+sinL at ×sinδ)
Figure BDA0003855784730000077
ω=15×(Time-12)
K solar =K 1 +K 2 ×H e +K 3 ×H e 2
wherein Q is the intensity of light radiation; a to G are constants; h c Is the solar altitude; l is a radical of an alcohol at The latitude of the place where the line is located; delta is the angular variation caused by seasonal variations; n is the number of days elapsed since the beginning of the year; omega is an angle of different hours, wherein 12 o' clock at noon is 0 DEG, and 15 DEG per hour; time point of Time, K solar To calculate the coefficients; h e For monitoring the altitude of the site, K 1 、K 2 、K 3 Are all constants.
Constants A to G, whose values are shown in Table 1:
TABLE 1 value ranges of constants A-G
Parameter value Clean air Polluted air
A -42.2391 53.1821
B 63.8044 14.2110
C -1.9220 6.6138×10 -1
D 3.46921×10 -2 -3.1658×10 -2
E -3.61118×10 -4 5.4654×10 -4
F 1.94318×10 -6 -4.3446×10 -6
G -4.07608×10 -9 1.3236×10 -8
Constant K 1 、K 2 And K 3 The values of (a) are shown in table 2:
TABLE 2 constant K 1 ~K 3 Value taking
Parameter(s) Parameter value
K 1 1
K 2 1.148e -4
K 3 -1.108e -8
In addition, in the case of the present invention,
θ=arccos(cos(H c )×cos(Z c -Z 1 ));
Z c =C 1 +arctan(X);
Figure BDA0003855784730000092
x is a calculation parameter, Z 1 Is the angle of wire of the monitoring point, Z c Is a square of the sunAngle of orientation, C 1 To calculate the parameters.
C 1 The values of (a) are shown in table 3:
TABLE 3C 1 Value of
Figure BDA0003855784730000091
As an optional implementation, the system further comprises: a data transmission device 6; the data transmission device 6 is respectively connected with the data acquisition device 1 and the data receiving port 2; the data transmission device 6 is used for transmitting line data to the line data receiving port 5; the data transmission device 6 is also used for transmitting historical meteorological data to the meteorological data receiving port 4.
Specifically, the data transmission device 6 includes: VPN private line, switch and firewall.
The VPN private line is connected with the data acquisition device 1; the switch is connected with the VPN special line; the firewall is connected with the switch.
The system further comprises: monitoring an alarm device; the monitoring alarm device is connected with the mobile terminal 3; the monitoring and warning device is used for sending out early warning signals according to the line data so as to prompt workers to maintain the target power transmission line.
Specifically, the monitoring and warning device comprises: a wire temperature alarm and a wire sag alarm.
The wire temperature alarm and the wire sag alarm are both connected with the mobile terminal 3; the wire temperature alarm is used for sending out a first early warning signal when the wire temperature exceeds a set temperature range; the wire sag alarm is used for sending out a second early warning signal when the wire sag exceeds a set distance range.
Further, the monitoring and warning device further comprises: a display; the display is connected with the mobile terminal 3; the display is used for displaying the line data and the historical meteorological data.
When the line data is missing, corresponding early warning processing can be carried out according to actual needs. Taking a target transmission line as an example, 5 data acquisition devices 1 are arranged on the target transmission line, as follows:
when line data acquired by 5 data acquisition devices 1 arranged on a target power transmission line are all missing (such as in an extreme case) or the number of the data acquisition devices 1 with the missing line data is less than 5, and the missing time is longer than a set time, such as 30 minutes, the historical meteorological data is used for replacing the line data, and the carrying capacity is determined; meanwhile, early warning is sent out and workers are prompted to maintain the line. The historical meteorological data at the moment is statistical meteorological data, the highest air temperature in the month, the minimum wind speed in the month and the wind direction are vertical line directions, and the light radiation intensity value is obtained by a light radiation intensity empirical formula under the IEEE Std738-2006 standard.
When the number of the data acquisition devices 1 with line data missing is less than 5 and the missing time is less than or equal to the set time length, for example, 30 minutes, the line data is replaced by the light radiation intensity value and the temperature value at the last moment corresponding to the missing time of the data and the direction of the wind and the minimum wind speed in the current month, the direction of the vertical line, and the current-carrying capacity is determined, and meanwhile, an early warning is given out.
In practical application of this embodiment, the system may further implement the following functions through an external device; for example, the system management module, the monitoring alarm device, the dynamic capacity increasing module, the safety analysis module, the data statistics module and the like can be included. The system management module comprises work modules such as ledger management, authority management, user management and log management, and when working at the mobile terminal 3, a worker can select the corresponding work module as required. The dynamic capacity increasing module comprises four working modes; real-time data display, measured compatibilization analysis, rigorous compatibilization analysis, and statistical compatibilization analysis. The safety analysis module also comprises four plates, such as wire temperature transient analysis, wire sag transient analysis, current limit analysis and safety time analysis. The data statistical module is historical data analysis and can analyze the statistical capacity increase, the statistical air temperature, the statistical wind speed, the statistical linear temperature and the statistical sag. And then, displaying the various analysis results in an intuitive mode, such as displaying by adopting a linear graph or a histogram, so as to be used as a basis for capacity increase for workers.
The utility model discloses a combine together line data and historical meteorological data, not only can enlarge the data volume for this system can be suitable for the regional actual meteorological condition in target transmission line place, can also make pressing close to reality more of current-carrying capacity, thereby improves the current-carrying capacity accuracy.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The principle and the implementation of the present invention are explained herein by using specific examples, and the above description of the embodiments is only used to help understand the system and the core idea of the present invention; meanwhile, for the general technical personnel in the field, according to the idea of the present invention, there are changes in the concrete implementation and the application scope. In summary, the content of the present specification should not be construed as a limitation of the present invention.

Claims (7)

1. A transmission line dynamic capacity increasing system based on statistical weather is characterized in that the system comprises: the system comprises a data acquisition device, a data receiving port and a mobile terminal;
the data acquisition device is arranged on the target power transmission line; the data acquisition device is connected with the mobile terminal through the data receiving port;
the data receiving port comprises a meteorological data receiving port and a line data receiving port;
the data acquisition device is used for acquiring the line data of the target power transmission line at the current moment; the line data includes: meteorological monitoring data, wire temperature, wire sag, wire current, and line operation data;
the line data receiving port is used for receiving line data;
the meteorological data receiving port is used for receiving historical meteorological data of the area where the target power transmission line is located; the historical meteorological data comprises historical meteorological monitoring data in a historical time period;
the mobile terminal is used for receiving the line data and the historical meteorological data and determining the current-carrying capacity of the target power transmission line at the current moment; and the current capacity at the current moment is used for adjusting the capacity of the target power transmission line at the current moment by a scheduling worker.
2. The statistical weather-based power transmission line dynamic capacity increasing system according to claim 1, further comprising: a data transmission device;
the data transmission device is respectively connected with the data acquisition device and the data receiving port; the data transmission device is used for transmitting the line data to the line data receiving port; the data transmission device is also used for transmitting the historical meteorological data to the meteorological data receiving port.
3. The statistical weather-based power transmission line dynamic capacity increasing system according to claim 1, further comprising: monitoring an alarm device;
the monitoring alarm device is connected with the mobile terminal; and the monitoring alarm device is used for sending out an early warning signal according to the line data.
4. The statistical weather-based power transmission line dynamic capacity increasing system according to claim 1, wherein the data acquisition device comprises: a meteorological monitor, a lead temperature monitor, a lead sag monitor, a lead current monitor and a line operation monitor;
the weather monitor, the lead temperature monitor, the lead sag monitor, the lead current monitor, and the line operation monitor are all disposed on the target power transmission line.
5. The statistical weather-based power transmission line dynamic capacity increasing system according to claim 2, wherein the data transmission device comprises: VPN private line, switch and firewall;
the VPN special line is connected with the data acquisition device; the switch is connected with the VPN private line; the firewall is connected with the switch.
6. The statistical weather-based power transmission line dynamic capacity increasing system according to claim 3, wherein the monitoring and warning device comprises: a wire temperature alarm and a wire sag alarm;
the wire temperature alarm and the wire sag alarm are both connected with the mobile terminal;
the wire temperature alarm is used for sending out a first early warning signal when the wire temperature exceeds a set temperature range;
the wire sag alarm is used for sending out a second early warning signal when the wire sag exceeds a set distance range.
7. The statistical weather-based power transmission line dynamic capacity increasing system according to claim 3, wherein the monitoring and warning device further comprises: a display;
the display is connected with the mobile terminal; the display is used for displaying the line data and the historical meteorological data.
CN202222497169.5U 2022-09-21 2022-09-21 Power transmission line dynamic capacity increasing system based on statistical weather Active CN218071110U (en)

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