CN115459446A - 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 PDFInfo
- Publication number
- CN115459446A CN115459446A CN202211149684.2A CN202211149684A CN115459446A CN 115459446 A CN115459446 A CN 115459446A CN 202211149684 A CN202211149684 A CN 202211149684A CN 115459446 A CN115459446 A CN 115459446A
- Authority
- CN
- China
- Prior art keywords
- data
- line
- power transmission
- receiving port
- transmission line
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/46—Interconnection of networks
- H04L12/4641—Virtual LANs, VLANs, e.g. virtual private networks [VPN]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention provides a power transmission line dynamic capacity increasing system based on statistical weather, and relates to the field of power technology and statistical weather 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 the 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; 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; the historical meteorological data comprise 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 invention can improve the accuracy of current-carrying capacity and further improve the accuracy of increasing the power distribution capacity.
Description
Technical Field
The invention relates to the field of power technology and statistical weather application, in particular to a dynamic capacity increasing system of a power transmission line based on statistical weather.
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 capability of the existing line is more strictly limited, and the contradiction between electric energy transmission and 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.
Disclosure of Invention
The invention aims to provide a power transmission line dynamic capacity increasing system based on statistical weather so as to improve the accuracy of current-carrying capacity and further improve the accuracy of increasing power distribution capacity.
In order to achieve the purpose, the invention provides the following scheme:
a statistical weather-based dynamic capacity augmentation system for a power transmission line, the system comprising: 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 scheduling personnel.
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, exchanger and firewall;
the VPN private 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 specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a power transmission line dynamic capacity increasing system based on statistical weather.A data acquisition device is arranged on a target power transmission line to acquire line data of the target power transmission line at the current 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 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 meteorological data receiving port and the line data receiving port are connected with the mobile terminal, line data and historical meteorological data are provided for the mobile terminal, the types and the number of the data are increased, the problem that the accuracy of the current-carrying capacity of the power transmission line is low due to the fact that the data quantity is small and the accuracy of the data cannot be guaranteed can be solved, and therefore an accurate basis is provided for increasing the power distribution capacity of workers.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed 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 it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
Fig. 1 is a structural diagram of a transmission line dynamic capacity increasing system based on statistical weather according to an embodiment of the present invention.
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 clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention aims to provide a power transmission line dynamic capacity increasing system based on statistical weather.A data acquisition device is arranged on a target power transmission line to acquire line data of the target power transmission line at the current 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 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 meteorological data receiving port and the line data receiving port are connected with the mobile terminal, line data and historical meteorological data are provided for the mobile terminal, the types and the number of the data are increased, the problem that the accuracy of the current-carrying capacity of the power transmission line is low due to the fact that the data quantity is small and the accuracy of the data cannot be guaranteed can be solved, and therefore an accurate basis is provided for increasing the power distribution capacity of workers.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 1, an embodiment of the present invention provides a power transmission line dynamic capacity increasing system based on statistical weather, where the 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, 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.
Historical weather data refers to historical weather monitoring data prior to the current time. For example, the data may be the highest air temperature, the lowest 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 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 a scheduling worker.
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 current-carrying capacity can also be obtained by calculation by using a calculation method in the prior art. The prior art discloses carrying out the calculation of ampacity based on a single type of data (e.g. line data); the method of calculating ampacity from single and multiple data (line data combined with historical meteorological data) is similar to the above calculation method, 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, the highest air temperature in the month, the minimum wind speed in the month and the wind direction are vertical to the line direction, and the light radiation intensity value is obtained by the 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 molar current-carrying capacity simplified empirical calculation formula 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 ；
Q r ＝πεSD[(θ+t a +273) 4 -(t a +273) 4 ]；
Q s ＝a s I s D；
wherein Q is 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 sunshine absorption of the conducting wire 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,
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), and S is the Stefin-Bautemann coefficient. S =5.67 × 10 -8 W/m 2 。
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 is 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 lead is a dynamic change process, and the change rule is expressed by a transient equation:
m is the mass of the wire per unit length, C p Is the comprehensive heat capacity coefficient of the lead, A is the calculated heat area of the lead surface 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:
the equation is a standard one-dimensional linear differential equation, the solution of which is
e is an exponential function with e as the base; when the t =0, the control unit is configured to,
when the line transitions, the transient equation may be:
when the current carrying capacity suddenly changes to a certain value from the current value, the suddenly changed current carrying capacity is substituted, the temperature-time curve is recorded, and the required time can be calculated.
Empirical formula of light radiation intensity under IEEE standard:
H c ＝arcsin(cosL at ×cosδ×cosω+sinL at ×sinδ)
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 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 for 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 constants K 1 ～K 3 Value taking
| Parameter(s) | Parameter value |
| K1 | 1 |
| K2 | 1.148e -4 |
| K3 | -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)；
x is a calculation parameter, Z 1 Is the angle of wire of the monitoring point, Z c Is the sun azimuth, C 1 To calculate the parameters.
C 1 The values of (a) are shown in table 3:
TABLE 3C 1 Value of
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 weather data to the weather data receiving port 4.
Specifically, the data transmission device 6 includes: VPN private line, switch and firewall.
The VPN special 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 a warning signal according to the line data so as to prompt a worker 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 treatment 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, an early warning is sent out and staff are prompted to maintain the line. The historical meteorological data at the moment are statistical meteorological data, the highest air temperature in the month, the minimum wind speed in the month and the wind direction in the vertical line direction, and the light radiation intensity value is obtained by the 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 air temperature value at the last moment corresponding to the current-carrying capacity and the wind direction perpendicular to the line direction when the data are missing, the current-carrying capacity is determined, and meanwhile, early warning is given out.
In practical application of the embodiment, the system can also realize 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, actual-measured compatibilization analysis, rigorous compatibilization analysis, and statistical compatibilization analysis. The safety analysis module also comprises four plates, such as a wire temperature transient analysis, a wire sag transient analysis, a current limit analysis and a safety time analysis. The data statistics module is used for analyzing historical data, and can analyze statistical capacity increase, statistical air temperature, statistical wind speed, statistical linear temperature and 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.
According to the invention, by combining the line data and the historical meteorological data, the data volume can be enlarged, so that the system can be suitable for the actual meteorological condition of the area where the target transmission line is located, the current-carrying capacity can be closer to the reality, and the accuracy of the current-carrying capacity is improved.
In the present specification, the embodiments 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 principles and embodiments of the present invention have been described herein using specific examples, which are provided only to assist understanding of the system and its core concepts; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the 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 scheduling personnel.
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 dynamic capacity increasing system for power transmission lines based on statistical weather is characterized in that 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.
4. The dynamic capacity increasing system for the power transmission line based on statistical weather is characterized in that 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 dynamic capacity increasing system for power transmission lines based on statistical weather according to claim 3, wherein the monitoring alarm 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211149684.2A CN115459446A (en) | 2022-09-21 | 2022-09-21 | Power transmission line dynamic capacity increasing system based on statistical weather |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211149684.2A CN115459446A (en) | 2022-09-21 | 2022-09-21 | Power transmission line dynamic capacity increasing system based on statistical weather |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115459446A true CN115459446A (en) | 2022-12-09 |
Family
ID=84305068
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211149684.2A Pending CN115459446A (en) | 2022-09-21 | 2022-09-21 | Power transmission line dynamic capacity increasing system based on statistical weather |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115459446A (en) |
-
2022
- 2022-09-21 CN CN202211149684.2A patent/CN115459446A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101714234B (en) | Grid line loss monitoring and analyzing system | |
| CN102313853B (en) | System for measuring and calculating dynamic transmission capacity of high voltage transmission line and method thereof | |
| CN110542879B (en) | Method and system for predicting operation performance variation trend of capacitor voltage transformer | |
| CN107330243A (en) | A kind of overhead transmission line carrying current calculation method based on typical meteorological year | |
| Zou et al. | Performance monitoring and test system for grid-connected photovoltaic systems | |
| CN116317104A (en) | Power transmission line dynamic capacity-increasing prediction system and method based on data center station | |
| Karabulut et al. | Outdoor Performance Assessment of New and Old Photovoltaic Panel Technologies Using a Designed Multi‐Photovoltaic Panel Power Measurement System | |
| CN109767353B (en) | Photovoltaic power generation power prediction method based on probability distribution function | |
| CN105676015A (en) | Transmission line carrying capacity calculation method | |
| CN218071110U (en) | Power transmission line dynamic capacity increasing system based on statistical weather | |
| CN115459446A (en) | Power transmission line dynamic capacity increasing system based on statistical weather | |
| CN115276002B (en) | Intelligent power distribution property studying and judging method based on power load curve | |
| CN111614378A (en) | Current-carrying capacity control scheduling decision method and device | |
| Zou et al. | Development of a data acquisition system for grid-connected photovoltaic systems | |
| Hong et al. | Internet of things-based monitoring for hv transmission lines: Dynamic thermal rating analysis with microclimate variables | |
| Bian et al. | A multifunctional data acquisition system for photovoltaic plants | |
| CN114996912A (en) | Power grid power transmission section dynamic capacity-increase assessment method and system based on meteorological information | |
| CN114301091A (en) | Photovoltaic array output power control method and device | |
| McNutt et al. | Impact of SolarSmart subdivisions on SMUD's distribution system | |
| CN108011586B (en) | Nominal operating temperature measuring system and nominal operating temperature measuring method | |
| Fu et al. | Partial least squares modelling for dynamic overhead line ratings | |
| CN113627691A (en) | Photovoltaic module real-time power generation maximum power prediction system | |
| US20200056590A1 (en) | Wind power plant data infrastructure | |
| Dąbrowski et al. | Analysis of long-time efficiency of photovoltaic installation | |
| Hanifah et al. | Establishment of standard reference environment for photovoltaic nominal operating cell temperature testing with dedicated approach for tropical region |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |